diff --git a/.gitignore b/.gitignore index 0a96e9067..e04236ea8 100644 --- a/.gitignore +++ b/.gitignore @@ -50,6 +50,7 @@ coverage.xml # Editor config .idea .vscode +.cursor # Translations *.mo diff --git a/README.md b/README.md index 3491d39a2..c7fa9977b 100644 --- a/README.md +++ b/README.md @@ -14,12 +14,12 @@ [Dapr](https://docs.dapr.io/concepts/overview/) is a portable, event-driven, serverless runtime for building distributed applications across cloud and edge. -Dapr SDK for Python allows you to implement the [Virtual Actor model](https://docs.dapr.io/developing-applications/building-blocks/actors/actors-overview/), based on the actor design pattern. This SDK can run locally, in a container and in any distributed systems environment. +Dapr SDK for Python allows you to implement the [Virtual Actor model](https://docs.dapr.io/developing-applications/building-blocks/actors/actors-overview/), based on the actor design pattern. This SDK also provides conversation APIs for interacting with AI/LLM models through Dapr components, supporting both streaming and non-streaming responses, tool calling, and multi-turn conversations. This SDK can run locally, in a container and in any distributed systems environment. This includes the following packages: * [dapr.actor](./dapr/actor): Actor Framework -* [dapr.clients](./dapr/clients): Dapr clients for Dapr building blocks +* [dapr.clients](./dapr/clients): Dapr clients for Dapr building blocks and conversation APIs * [dapr.conf](./dapr/conf): Configuration * [dapr.serializers](./dapr/serializers): serializer/deserializer * [dapr.proto](./dapr/proto): Dapr gRPC autogenerated gRPC clients @@ -64,6 +64,7 @@ pip3 install dapr-ext-fastapi-dev > Note: Do not install both packages. + ### Try out examples Go to [Examples](./examples) @@ -124,6 +125,13 @@ tox -e type tox -e examples ``` +9. Test features in dapr not currently in upstream (requires local Dapr repository) + +```bash +# Build and run development sidecar with conversation components +python tools/run_dapr_dev.py --build +``` + ## Documentation Documentation is generated using Sphinx. Extensions used are mainly Napoleon (To process the Google Comment Style) and Autodocs (For automatically generating documentation). The `.rst` files are generated using Sphinx-Apidocs. @@ -141,6 +149,9 @@ The generated files will be found in `docs/_build`. ```sh pip3 install -r tools/requirements.txt ./tools/regen_grpcclient.sh + +# For local development (uses ../dapr repository) +./tools/regen_grpcclient_local.sh ``` ## Help & Feedback diff --git a/dapr/aio/clients/grpc/client.py b/dapr/aio/clients/grpc/client.py index 315c219c8..c5af287c9 100644 --- a/dapr/aio/clients/grpc/client.py +++ b/dapr/aio/clients/grpc/client.py @@ -24,7 +24,7 @@ from warnings import warn -from typing import Callable, Dict, Optional, Text, Union, Sequence, List, Any, Awaitable +from typing import Callable, Dict, Optional, Text, Union, Sequence, List, Any, Awaitable, AsyncIterator from typing_extensions import Self from google.protobuf.message import Message as GrpcMessage @@ -82,6 +82,10 @@ BindingResponse, ConversationResponse, ConversationResult, + ConversationStreamChunk, + ConversationStreamComplete, + ConversationStreamResponse, + ConversationUsage, DaprResponse, GetSecretResponse, GetBulkSecretResponse, @@ -1721,10 +1725,11 @@ async def converse_alpha1( inputs: List[ConversationInput], *, context_id: Optional[str] = None, - parameters: Optional[Dict[str, GrpcAny]] = None, + parameters: Optional[Dict[str, Union[str, int, float, bool, GrpcAny]]] = None, metadata: Optional[Dict[str, str]] = None, scrub_pii: Optional[bool] = None, temperature: Optional[float] = None, + tools: Optional[List] = None, ) -> ConversationResponse: """Invoke an LLM using the conversation API (Alpha). @@ -1736,6 +1741,7 @@ async def converse_alpha1( metadata: Optional metadata for the component scrub_pii: Optional flag to scrub PII from inputs and outputs temperature: Optional temperature setting for the LLM to optimize for creativity or predictability + tools: Optional list of tools available for LLM use (passed at request level) Returns: ConversationResponse containing the conversation results @@ -1743,34 +1749,384 @@ async def converse_alpha1( Raises: DaprGrpcError: If the Dapr runtime returns an error """ - inputs_pb = [ - api_v1.ConversationInput(content=inp.content, role=inp.role, scrubPII=inp.scrub_pii) - for inp in inputs - ] + def convert_content_part_to_pb(part): + """Convert a ContentPart to protobuf format.""" + part_pb = api_v1.ContentPart() + + if part.text: + part_pb.text.text = part.text.text + elif part.tool_call: + part_pb.tool_call.id = part.tool_call.id + part_pb.tool_call.type = part.tool_call.type + part_pb.tool_call.name = part.tool_call.name + part_pb.tool_call.arguments = part.tool_call.arguments + elif part.tool_result: + part_pb.tool_result.tool_call_id = part.tool_result.tool_call_id + part_pb.tool_result.name = part.tool_result.name + part_pb.tool_result.content = part.tool_result.content + if part.tool_result.is_error is not None: + part_pb.tool_result.is_error = part.tool_result.is_error + + return part_pb + + inputs_pb = [] + for inp in inputs: + input_pb = api_v1.ConversationInput() + + # Set deprecated fields for backward compatibility + if inp.content: + input_pb.content = inp.content + if inp.role: + input_pb.role = inp.role + if inp.scrub_pii is not None: + input_pb.scrubPII = inp.scrub_pii + + # Set new parts field + if inp.parts: + for part in inp.parts: + part_pb = convert_content_part_to_pb(part) + input_pb.parts.append(part_pb) + + inputs_pb.append(input_pb) + + # Convert parameters to protobuf Any objects for better developer experience + from dapr.clients.grpc._helpers import convert_parameters_for_grpc + converted_parameters = convert_parameters_for_grpc(parameters) + + # Convert tools to protobuf format + tools_pb = [] + if tools: + for tool in tools: + tool_pb = api_v1.Tool() + tool_pb.type = tool.type + tool_pb.name = tool.name + tool_pb.description = tool.description + if tool.parameters: + tool_pb.parameters = tool.parameters + tools_pb.append(tool_pb) request = api_v1.ConversationRequest( name=name, inputs=inputs_pb, contextID=context_id, - parameters=parameters or {}, + parameters=converted_parameters, metadata=metadata or {}, scrubPII=scrub_pii, temperature=temperature, + tools=tools_pb, ) try: response = await self._stub.ConverseAlpha1(request) - outputs = [ - ConversationResult(result=output.result, parameters=output.parameters) - for output in response.outputs - ] + def convert_content_part_from_pb(part_pb): + """Convert protobuf part to ContentPart for response.""" + from dapr.clients.grpc._response import ContentPart as ResponseContentPart + from dapr.clients.grpc._response import TextContent as ResponseTextContent + from dapr.clients.grpc._response import ToolCallContent as ResponseToolCallContent + from dapr.clients.grpc._response import ToolResultContent as ResponseToolResultContent + + if part_pb.HasField('text'): + return ResponseContentPart(text=ResponseTextContent(text=part_pb.text.text)) + elif part_pb.HasField('tool_call'): + return ResponseContentPart(tool_call=ResponseToolCallContent( + id=part_pb.tool_call.id, + type=part_pb.tool_call.type, + name=part_pb.tool_call.name, + arguments=part_pb.tool_call.arguments + )) + elif part_pb.HasField('tool_result'): + return ResponseContentPart(tool_result=ResponseToolResultContent( + tool_call_id=part_pb.tool_result.tool_call_id, + name=part_pb.tool_result.name, + content=part_pb.tool_result.content, + is_error=part_pb.tool_result.is_error if part_pb.tool_result.HasField('is_error') else None + )) + + outputs = [] + for output in response.outputs: + # Convert parts from protobuf + parts = [] + if output.parts: + for part_pb in output.parts: + part = convert_content_part_from_pb(part_pb) + if part: + parts.append(part) + + outputs.append(ConversationResult( + result=output.result, + parameters=output.parameters, + parts=parts if parts else [], + finish_reason=output.finish_reason if output.HasField('finish_reason') else None + )) return ConversationResponse(context_id=response.contextID, outputs=outputs) except grpc.aio.AioRpcError as err: raise DaprGrpcError(err) from err + async def converse_stream_alpha1( + self, + name: str, + inputs: List[ConversationInput], + *, + context_id: Optional[str] = None, + parameters: Optional[Dict[str, Union[str, int, float, bool, GrpcAny]]] = None, + metadata: Optional[Dict[str, str]] = None, + scrub_pii: Optional[bool] = None, + temperature: Optional[float] = None, + tools: Optional[List] = None, + ) -> AsyncIterator[ConversationStreamResponse]: + """Invoke an LLM using the streaming conversation API (Alpha). + + Args: + name: Name of the LLM component to invoke + inputs: List of conversation inputs + context_id: Optional ID for continuing an existing chat + parameters: Optional custom parameters for the request + metadata: Optional metadata for the component + scrub_pii: Optional flag to scrub PII from inputs and outputs + temperature: Optional temperature setting for the LLM to optimize for creativity or predictability + tools: Optional list of tools available for LLM use (passed at request level) + + Yields: + ConversationStreamResponse containing conversation result chunks + + Raises: + DaprGrpcError: If the Dapr runtime returns an error + """ + from dapr.clients.grpc._response import ConversationStreamResponse + + def convert_content_part_to_pb(part): + """Convert a ContentPart to protobuf format.""" + part_pb = api_v1.ContentPart() + + if part.text: + part_pb.text.text = part.text.text + elif part.tool_call: + part_pb.tool_call.id = part.tool_call.id + part_pb.tool_call.type = part.tool_call.type + part_pb.tool_call.name = part.tool_call.name + part_pb.tool_call.arguments = part.tool_call.arguments + elif part.tool_result: + part_pb.tool_result.tool_call_id = part.tool_result.tool_call_id + part_pb.tool_result.name = part.tool_result.name + part_pb.tool_result.content = part.tool_result.content + if part.tool_result.is_error is not None: + part_pb.tool_result.is_error = part.tool_result.is_error + + return part_pb + + inputs_pb = [] + for inp in inputs: + input_pb = api_v1.ConversationInput() + + # Set deprecated fields for backward compatibility + if inp.content: + input_pb.content = inp.content + if inp.role: + input_pb.role = inp.role + if inp.scrub_pii is not None: + input_pb.scrubPII = inp.scrub_pii + + # Set new parts field + if inp.parts: + for part in inp.parts: + part_pb = convert_content_part_to_pb(part) + input_pb.parts.append(part_pb) + + inputs_pb.append(input_pb) + + # Convert parameters to protobuf Any objects for better developer experience + from dapr.clients.grpc._helpers import convert_parameters_for_grpc + converted_parameters = convert_parameters_for_grpc(parameters) + + # Convert tools to protobuf format + tools_pb = [] + if tools: + for tool in tools: + tool_pb = api_v1.Tool() + tool_pb.type = tool.type + tool_pb.name = tool.name + tool_pb.description = tool.description + if tool.parameters: + tool_pb.parameters = tool.parameters + tools_pb.append(tool_pb) + + request = api_v1.ConversationRequest( + name=name, + inputs=inputs_pb, + contextID=context_id, + parameters=converted_parameters, + metadata=metadata or {}, + scrubPII=scrub_pii, + temperature=temperature, + tools=tools_pb, + ) + + try: + response_stream = self._stub.ConverseStreamAlpha1(request) + + async for response in response_stream: + if response.HasField('chunk'): + # Handle streaming chunk + chunk_pb = response.chunk + + # Convert parts from protobuf + parts = [] + if chunk_pb.parts: + from dapr.clients.grpc._response import ContentPart as ResponseContentPart + from dapr.clients.grpc._response import TextContent as ResponseTextContent + from dapr.clients.grpc._response import ( + ToolCallContent as ResponseToolCallContent, + ) + from dapr.clients.grpc._response import ( + ToolResultContent as ResponseToolResultContent, + ) + + for part_pb in chunk_pb.parts: + if part_pb.HasField('text'): + parts.append(ResponseContentPart(text=ResponseTextContent(text=part_pb.text.text))) + elif part_pb.HasField('tool_call'): + parts.append(ResponseContentPart(tool_call=ResponseToolCallContent( + id=part_pb.tool_call.id, + type=part_pb.tool_call.type, + name=part_pb.tool_call.name, + arguments=part_pb.tool_call.arguments + ))) + elif part_pb.HasField('tool_result'): + parts.append(ResponseContentPart(tool_result=ResponseToolResultContent( + tool_call_id=part_pb.tool_result.tool_call_id, + name=part_pb.tool_result.name, + content=part_pb.tool_result.content, + is_error=part_pb.tool_result.is_error if part_pb.tool_result.HasField('is_error') else None + ))) + + chunk = ConversationStreamChunk( + parts=parts if parts else [], + context_id=getattr(chunk_pb, 'context_id', None) or getattr(chunk_pb, 'contextID', None), + finish_reason=chunk_pb.finish_reason if chunk_pb.HasField('finish_reason') else None, + chunk_index=chunk_pb.chunk_index if chunk_pb.HasField('chunk_index') else None, + is_delta=chunk_pb.is_delta if chunk_pb.HasField('is_delta') else None + ) + + yield ConversationStreamResponse(chunk=chunk) + + elif response.HasField('complete'): + # Handle completion + complete_pb = response.complete + complete = ConversationStreamComplete.from_proto(complete_pb) + yield ConversationStreamResponse(complete=complete) + + except grpc.aio.AioRpcError as err: + raise DaprGrpcError(err) from err + + async def converse_stream_json( + self, + name: str, + inputs: List[ConversationInput], + *, + context_id: Optional[str] = None, + parameters: Optional[Dict[str, Union[str, int, float, bool, GrpcAny]]] = None, + metadata: Optional[Dict[str, str]] = None, + scrub_pii: Optional[bool] = None, + temperature: Optional[float] = None, + tools: Optional[List] = None, + ) -> AsyncIterator[Dict[str, Any]]: + """Invoke an LLM using the streaming conversation API with JSON response format (Alpha). + + This method provides a JSON-formatted streaming interface that's compatible with + common LLM response formats, making it easier to integrate with existing tools + and frameworks that expect JSON responses. + + Args: + name: Name of the LLM component to invoke + inputs: List of conversation inputs + context_id: Optional ID for continuing an existing chat + parameters: Optional custom parameters for the request + metadata: Optional metadata for the component + scrub_pii: Optional flag to scrub PII from inputs and outputs + temperature: Optional temperature setting for the LLM to optimize for creativity or predictability + tools: Optional list of tools available for LLM use (passed at request level) + + Yields: + Dict[str, Any]: JSON-formatted conversation response chunks with structure: + { + "choices": [ + { + "delta": { + "content": "chunk content", + "role": "assistant" + }, + "index": 0, + "finish_reason": None + } + ], + "context_id": "optional context ID", + "usage": { + "prompt_tokens": 0, + "completion_tokens": 0, + "total_tokens": 0 + } + } + + Raises: + DaprGrpcError: If the Dapr runtime returns an error + """ + async for chunk in self.converse_stream_alpha1( + name=name, + inputs=inputs, + context_id=context_id, + parameters=parameters, + metadata=metadata, + scrub_pii=scrub_pii, + temperature=temperature, + tools=tools, + ): + # Transform the chunk to JSON format compatible with common LLM APIs + chunk_dict = { + 'choices': [], + 'context_id': None, + 'usage': None, + } + + # Handle streaming chunk data + if chunk.chunk: + choice = {'delta': {}, 'index': 0, 'finish_reason': chunk.chunk.finish_reason} + + # Add content if present in chunk parts + if chunk.chunk.parts: + for part in chunk.chunk.parts: + if part.text: + choice['delta']['content'] = part.text.text + choice['delta']['role'] = 'assistant' + elif part.tool_call: + if 'tool_calls' not in choice['delta']: + choice['delta']['tool_calls'] = [] + choice['delta']['tool_calls'].append({ + 'id': part.tool_call.id, + 'type': part.tool_call.type, + 'function': { + 'name': part.tool_call.name, + 'arguments': part.tool_call.arguments + } + }) + + chunk_dict['choices'].append(choice) + chunk_dict['context_id'] = chunk.chunk.context_id + + # Handle completion data + elif chunk.complete: + chunk_dict['context_id'] = chunk.complete.context_id + if chunk.complete.usage: + chunk_dict['usage'] = { + 'prompt_tokens': chunk.complete.usage.prompt_tokens, + 'completion_tokens': chunk.complete.usage.completion_tokens, + 'total_tokens': chunk.complete.usage.total_tokens, + } + + yield chunk_dict + async def wait(self, timeout_s: float): """Waits for sidecar to be available within the timeout. diff --git a/dapr/clients/grpc/_helpers.py b/dapr/clients/grpc/_helpers.py index 7da35dc27..656cda633 100644 --- a/dapr/clients/grpc/_helpers.py +++ b/dapr/clients/grpc/_helpers.py @@ -1,4 +1,3 @@ -# -*- coding: utf-8 -*- """ Copyright 2023 The Dapr Authors @@ -12,15 +11,78 @@ See the License for the specific language governing permissions and limitations under the License. """ -from typing import Dict, List, Union, Tuple, Optional from enum import Enum +from typing import Any, Dict, List, Optional, Tuple, Union + from google.protobuf.any_pb2 import Any as GrpcAny from google.protobuf.message import Message as GrpcMessage +from google.protobuf.wrappers_pb2 import ( + BoolValue, + DoubleValue, + Int32Value, + Int64Value, + StringValue, +) MetadataDict = Dict[str, List[Union[bytes, str]]] MetadataTuple = Tuple[Tuple[str, Union[bytes, str]], ...] +def convert_parameters_for_grpc(params: Optional[Dict[str, Any]]) -> Dict[str, GrpcAny]: + """ + Convert raw Python values to protobuf Any objects for conversation API. + + This function improves developer experience by automatically converting + common Python types to the protobuf Any format required by the gRPC API. + + Args: + params: Dictionary of parameters with raw Python values or pre-wrapped + protobuf Any objects + + Returns: + Dictionary with values converted to protobuf Any objects + + Examples: + >>> params = {"tool_choice": "auto", "temperature": 0.7, "max_tokens": 1000} + >>> converted = convert_parameters_for_grpc(params) + >>> # Returns protobuf Any objects that can be sent via gRPC + """ + if not params: + return {} + + converted = {} + + for key, value in params.items(): + # Skip if already a protobuf Any (backward compatibility) + if isinstance(value, GrpcAny): + converted[key] = value + continue + + # Convert based on type + any_value = GrpcAny() + + if isinstance(value, str): + any_value.Pack(StringValue(value=value)) + elif isinstance(value, bool): # Check bool before int (bool is subclass of int) + any_value.Pack(BoolValue(value=value)) + elif isinstance(value, int): + # Choose appropriate int wrapper based on value range + if -2147483648 <= value <= 2147483647: + any_value.Pack(Int32Value(value=value)) + else: + any_value.Pack(Int64Value(value=value)) + elif isinstance(value, float): + # Use DoubleValue for better precision + any_value.Pack(DoubleValue(value=value)) + else: + # For unsupported types, convert to string as fallback + any_value.Pack(StringValue(value=str(value))) + + converted[key] = any_value + + return converted + + def tuple_to_dict(tupledata: MetadataTuple) -> MetadataDict: """Converts tuple to dict. diff --git a/dapr/clients/grpc/_request.py b/dapr/clients/grpc/_request.py index bdd699b1e..80e41702e 100644 --- a/dapr/clients/grpc/_request.py +++ b/dapr/clients/grpc/_request.py @@ -14,24 +14,24 @@ """ import io -from enum import Enum from dataclasses import dataclass -from typing import Dict, Optional, Union +from enum import Enum +from typing import Dict, List, Optional, Union from google.protobuf.any_pb2 import Any as GrpcAny from google.protobuf.message import Message as GrpcMessage -from dapr.proto import api_v1, common_v1 from dapr.clients.base import DEFAULT_JSON_CONTENT_TYPE -from dapr.clients.grpc._crypto import EncryptOptions, DecryptOptions +from dapr.clients.grpc._crypto import DecryptOptions, EncryptOptions from dapr.clients.grpc._helpers import ( MetadataDict, MetadataTuple, - tuple_to_dict, to_bytes, to_str, + tuple_to_dict, unpack, ) +from dapr.proto import api_v1, common_v1 class DaprRequest: @@ -427,11 +427,152 @@ def __next__(self): self.seq += 1 return request_proto +@dataclass +class Tool: + """Tool definition for LLM tool calling (simplified structure).""" + + type: str # Always "function" for now + name: str + description: str + parameters: Optional[str] = None # JSON schema as string + +# Legacy support - will be removed in future versions +@dataclass +class ToolFunction: + """DEPRECATED: Function definition for a tool. Use Tool directly instead.""" + + name: str + description: str + parameters: Optional[str] = None # JSON schema as string + +@dataclass +class TextContent: + """Simple text content part.""" + text: str + +@dataclass +class ToolCallContent: + """Tool call as content part.""" + id: str + type: str # "function" + name: str + arguments: str # Function arguments as JSON string + +@dataclass +class ToolResultContent: + """Tool result as content part.""" + tool_call_id: str + name: str + content: str # Tool result as text + is_error: Optional[bool] = None # Indicates tool execution error + +@dataclass +class ContentPart: + """Content part supporting text and tool calling.""" + # One of these will be set + text: Optional[TextContent] = None + tool_call: Optional[ToolCallContent] = None + tool_result: Optional[ToolResultContent] = None @dataclass class ConversationInput: """A single input message for the conversation.""" - content: str + # DEPRECATED: Use parts instead for new implementations + content: Optional[str] = None role: Optional[str] = None scrub_pii: Optional[bool] = None + + # NEW: Content parts for rich content within each actor's input + parts: Optional[List[ContentPart]] = None + + @classmethod + def from_text(cls, text: str, role: Optional[str] = None) -> 'ConversationInput': + """Create a ConversationInput with text content.""" + return cls( + role=role, + parts=[ContentPart(text=TextContent(text=text))] + ) + + @classmethod + def from_tool_call( + cls, tool_call: ToolCallContent, role: str = "assistant" + ) -> 'ConversationInput': + """Create a ConversationInput with a tool call.""" + return cls( + role=role, + parts=[ContentPart(tool_call=tool_call)] + ) + + @classmethod + def from_tool_result( + cls, tool_result: ToolResultContent, role: str = "tool" + ) -> 'ConversationInput': + """Create a ConversationInput with a tool result.""" + return cls( + role=role, + parts=[ContentPart(tool_result=tool_result)] + ) + + @classmethod + def from_tool_result_simple( + cls, tool_name: str, call_id: str, result: str + ) -> 'ConversationInput': + """Create ConversationInput from tool result (simple interface).""" + return cls( + role="tool", + parts=[ + ContentPart( + tool_result=ToolResultContent( + tool_call_id=call_id, + name=tool_name, + content=result + ) + ) + ] + ) + + # NOTE: Tool definitions are now passed at the request level, not as content parts + + def to_proto(self) -> api_v1.ConversationInput: + """Convert to protobuf ConversationInput.""" + proto_input = api_v1.ConversationInput() + + # Set basic fields + if self.role: + proto_input.role = self.role + if self.scrub_pii is not None: + proto_input.scrubPII = self.scrub_pii + + # Handle content parts + if self.parts: + for part in self.parts: + proto_part = self._content_part_to_proto(part) + proto_input.parts.append(proto_part) + elif self.content: + # Legacy content support + text_part = api_v1.ContentPart() + text_part.text.text = self.content + proto_input.parts.append(text_part) + + return proto_input + + def _content_part_to_proto(self, part: ContentPart) -> api_v1.ContentPart: + """Convert ContentPart to protobuf ContentPart.""" + proto_part = api_v1.ContentPart() + + if part.text: + proto_part.text.text = part.text.text + elif part.tool_call: + proto_part.tool_call.id = part.tool_call.id + proto_part.tool_call.type = part.tool_call.type + proto_part.tool_call.name = part.tool_call.name + proto_part.tool_call.arguments = part.tool_call.arguments + elif part.tool_result: + proto_part.tool_result.tool_call_id = part.tool_result.tool_call_id + proto_part.tool_result.name = part.tool_result.name + proto_part.tool_result.content = part.tool_result.content + if part.tool_result.is_error is not None: + proto_part.tool_result.is_error = part.tool_result.is_error + + return proto_part diff --git a/dapr/clients/grpc/_response.py b/dapr/clients/grpc/_response.py index 6d6ee92a2..ae7d722b8 100644 --- a/dapr/clients/grpc/_response.py +++ b/dapr/clients/grpc/_response.py @@ -1,4 +1,3 @@ -# -*- coding: utf-8 -*- """ Copyright 2023 The Dapr Authors @@ -22,19 +21,18 @@ from datetime import datetime from enum import Enum from typing import ( + TYPE_CHECKING, Callable, Dict, + Generator, + Generic, List, + Mapping, + NamedTuple, Optional, - Text, - Union, Sequence, - TYPE_CHECKING, - NamedTuple, - Generator, TypeVar, - Generic, - Mapping, + Union, ) from google.protobuf.any_pb2 import Any as GrpcAny @@ -44,12 +42,13 @@ from dapr.clients.grpc._helpers import ( MetadataDict, MetadataTuple, + WorkflowRuntimeStatus, to_bytes, to_str, tuple_to_dict, unpack, - WorkflowRuntimeStatus, ) +from dapr.clients.grpc._request import Tool from dapr.proto import api_service_v1, api_v1, appcallback_v1, common_v1 # Avoid circular import dependency by only importing DaprGrpcClient @@ -61,7 +60,6 @@ 'TCryptoResponse', bound=Union[api_v1.EncryptResponse, api_v1.DecryptResponse] ) - class DaprResponse: """A base class for Dapr Response. @@ -103,7 +101,6 @@ def get_headers(self, as_dict: bool = False) -> Union[MetadataDict, MetadataTupl return tuple_to_dict(self._headers) return self._headers - class InvokeMethodResponse(DaprResponse): """The response of invoke_method API. @@ -260,7 +257,6 @@ def unpack(self, message: GrpcMessage) -> None: unpack(self.proto, message) - class BindingResponse(DaprResponse): """The response of invoke_binding API. @@ -274,7 +270,7 @@ class BindingResponse(DaprResponse): def __init__( self, data: Union[bytes, str], - binding_metadata: Dict[str, str] = {}, + binding_metadata: Optional[Dict[str, str]] = None, headers: MetadataTuple = (), ): """Initializes InvokeBindingReponse from :obj:`runtime_v1.InvokeBindingResponse`. @@ -290,7 +286,7 @@ def __init__( """ super(BindingResponse, self).__init__(headers) self.data = data # type: ignore - self._metadata = binding_metadata + self._metadata = binding_metadata or {} def text(self) -> str: """Gets content as str.""" @@ -315,7 +311,6 @@ def binding_metadata(self) -> Dict[str, str]: """Gets the metadata in the response.""" return self._metadata - class GetSecretResponse(DaprResponse): """The response of get_secret API. @@ -340,7 +335,6 @@ def secret(self) -> Dict[str, str]: """Gets secret as a dict.""" return self._secret - class GetBulkSecretResponse(DaprResponse): """The response of get_bulk_secret API. @@ -365,7 +359,6 @@ def secrets(self) -> Dict[str, Dict[str, str]]: """Gets secrets as a dict.""" return self._secrets - class StateResponse(DaprResponse): """The response of get_state API. @@ -416,7 +409,6 @@ def data(self, val: Union[bytes, str]) -> None: """Sets str or bytes type data to request data.""" self._data = to_bytes(val) - class BulkStateItem: """A state item from bulk_get_state API. @@ -469,7 +461,6 @@ def error(self) -> str: """Gets error.""" return self._error - class BulkStatesResponse(DaprResponse): """The response of bulk_get_state API. @@ -494,7 +485,6 @@ def items(self) -> Sequence[BulkStateItem]: """Gets the items.""" return self._items - class QueryResponseItem: """A query response item from state store query API. @@ -547,7 +537,6 @@ def error(self) -> str: """Gets error.""" return self._error - class QueryResponse(DaprResponse): """The response of state store query API. @@ -563,7 +552,7 @@ def __init__( self, results: Sequence[QueryResponseItem], token: str = '', - metadata: Dict[str, str] = dict(), + metadata: Optional[Dict[str, str]] = None, headers: MetadataTuple = (), ): """Initializes QueryResponse from :obj:`runtime_v1.QueryStateResponse`. @@ -575,7 +564,7 @@ def __init__( headers (Tuple, optional): the headers from Dapr gRPC response. """ super(QueryResponse, self).__init__(headers) - self._metadata = metadata + self._metadata = metadata or {} self._results = results self._token = token @@ -594,7 +583,6 @@ def metadata(self) -> Dict[str, str]: """Gets the query response metadata.""" return self._metadata - class ConfigurationItem: """A config item from get_configuration API. @@ -604,7 +592,7 @@ class ConfigurationItem: metadata (str): metadata """ - def __init__(self, value: str, version: str, metadata: Optional[Dict[str, str]] = dict()): + def __init__(self, value: str, version: str, metadata: Optional[Dict[str, str]] = None): """Initializes ConfigurationItem item from :obj:`runtime_v1.ConfigurationItem`. Args: @@ -614,7 +602,7 @@ def __init__(self, value: str, version: str, metadata: Optional[Dict[str, str]] """ self._value = value self._version = version - self._metadata = metadata + self._metadata = metadata or {} def text(self) -> str: """Gets content as str.""" @@ -639,7 +627,6 @@ def metadata(self) -> Optional[Dict[str, str]]: """Gets metadata.""" return self._metadata - class ConfigurationResponse(DaprResponse): """The response of get_configuration API. @@ -650,7 +637,7 @@ class ConfigurationResponse(DaprResponse): """ def __init__( - self, items: Mapping[Text, common_v1.ConfigurationItem], headers: MetadataTuple = () + self, items: Mapping[str, common_v1.ConfigurationItem], headers: MetadataTuple = () ): """Initializes ConfigurationResponse from :obj:`runtime_v1.GetConfigurationResponse`. @@ -659,18 +646,17 @@ def __init__( headers (Tuple, optional): the headers from Dapr gRPC response. """ super(ConfigurationResponse, self).__init__(headers) - self._items: Dict[Text, ConfigurationItem] = dict() - k: Text + self._items: Dict[str, ConfigurationItem] = dict() + k: str v: common_v1.ConfigurationItem for k, v in items.items(): self._items[k] = ConfigurationItem(v.value, v.version, dict(v.metadata)) @property - def items(self) -> Dict[Text, ConfigurationItem]: + def items(self) -> Dict[str, ConfigurationItem]: """Gets the items.""" return self._items - class ConfigurationWatcher: def __init__(self): self.store_name = None @@ -683,11 +669,11 @@ def watch_configuration( stub: api_service_v1.DaprStub, store_name: str, keys: List[str], - handler: Callable[[Text, ConfigurationResponse], None], - config_metadata: Optional[Dict[str, str]] = dict(), + handler: Callable[[str, ConfigurationResponse], None], + config_metadata: Optional[Dict[str, str]] = None, ): req = api_v1.SubscribeConfigurationRequest( - store_name=store_name, keys=keys, metadata=config_metadata + store_name=store_name, keys=keys, metadata=config_metadata or {} ) thread = threading.Thread(target=self._read_subscribe_config, args=(stub, req, handler)) thread.daemon = True @@ -704,7 +690,7 @@ def _read_subscribe_config( self, stub: api_service_v1.DaprStub, req: api_v1.SubscribeConfigurationRequest, - handler: Callable[[Text, ConfigurationResponse], None], + handler: Callable[[str, ConfigurationResponse], None], ): try: responses: List[ @@ -722,14 +708,12 @@ def _read_subscribe_config( print(f'{self.store_name} configuration watcher for keys ' f'{self.keys} stopped.') pass - class TopicEventResponseStatus(Enum): # success is the default behavior: message is acknowledged and not retried success = appcallback_v1.TopicEventResponse.TopicEventResponseStatus.SUCCESS retry = appcallback_v1.TopicEventResponse.TopicEventResponseStatus.RETRY drop = appcallback_v1.TopicEventResponse.TopicEventResponseStatus.DROP - class TopicEventResponse(DaprResponse): """The response of subscribed topic events. @@ -768,7 +752,6 @@ def status(self) -> TopicEventResponseStatus: """Gets the status.""" return self._status - class UnlockResponseStatus(Enum): success = api_v1.UnlockResponse.Status.SUCCESS """The Unlock operation for the referred lock was successful.""" @@ -782,7 +765,6 @@ class UnlockResponseStatus(Enum): internal_error = api_v1.UnlockResponse.Status.INTERNAL_ERROR """An internal error happened while handling the Unlock operation""" - class UnlockResponse(DaprResponse): """The response of an unlock operation. @@ -811,7 +793,6 @@ def status(self) -> UnlockResponseStatus: """Gets the status.""" return self._status - class TryLockResponse(contextlib.AbstractContextManager, DaprResponse): """The response of a try_lock operation. @@ -885,11 +866,10 @@ async def __aexit__(self, *exc) -> None: ) # else: there is no point unlocking a lock we did not acquire. - async def __aenter__(self) -> 'TryLockResponse': + async def __aenter__(self) -> TryLockResponse: """Returns self as the context manager object.""" return self - class GetMetadataResponse(DaprResponse): """GetMetadataResponse is a message that is returned on GetMetadata rpc call.""" @@ -939,7 +919,6 @@ def extended_metadata(self) -> Dict[str, str]: """Mapping of custom (extended) attributes to their respective values.""" return self._extended_metadata - class GetWorkflowResponse: """The response of get_workflow operation.""" @@ -950,7 +929,7 @@ def __init__( created_at: datetime, last_updated_at: str, runtime_status: WorkflowRuntimeStatus, - properties: Dict[str, str] = {}, + properties: Optional[Dict[str, str]] = None, ): """Initializes a GetWorkflowResponse. @@ -967,8 +946,7 @@ def __init__( self.created_at = created_at self.last_updated_at = last_updated_at self.runtime_status = runtime_status - self.properties = properties - + self.properties = properties or {} class StartWorkflowResponse: """The response of start_workflow operation.""" @@ -984,7 +962,6 @@ def __init__( """ self.instance_id = instance_id - class RegisteredComponents(NamedTuple): """Describes a loaded Dapr component.""" @@ -1000,7 +977,6 @@ class RegisteredComponents(NamedTuple): capabilities: Sequence[str] """Supported capabilities for this component type and version.""" - class CryptoResponse(DaprResponse, Generic[TCryptoResponse]): """An iterable of cryptography API responses.""" @@ -1064,22 +1040,159 @@ def read(self, size: int = -1) -> bytes: # Return the requested number of bytes return data[:size] - class EncryptResponse(CryptoResponse[TCryptoResponse]): ... - class DecryptResponse(CryptoResponse[TCryptoResponse]): ... +@dataclass +class TextContent: + """Simple text content part.""" + text: str + + @classmethod + def from_proto(cls, proto_text) -> TextContent: + """Create TextContent from protobuf.""" + return cls(text=proto_text.text) + +@dataclass +class ToolCall: + """Tool call from LLM response.""" + + id: str + type: str # Always "function" + name: str + arguments: str # JSON string + +@dataclass +class ToolCallContent: + """Tool call as content part.""" + id: str + type: str # "function" + name: str + arguments: str # Function arguments as JSON string + + @classmethod + def from_proto(cls, proto_tool_call) -> ToolCallContent: + """Create ToolCallContent from protobuf.""" + return cls( + id=proto_tool_call.id, + type=proto_tool_call.type, + name=proto_tool_call.name, + arguments=proto_tool_call.arguments + ) + +@dataclass +class ToolResultContent: + """Tool result as content part.""" + tool_call_id: str + name: str + content: str # Tool result as text + is_error: Optional[bool] = None # Indicates tool execution error + + @classmethod + def from_proto(cls, proto_tool_result) -> ToolResultContent: + """Create ToolResultContent from protobuf.""" + return cls( + tool_call_id=proto_tool_result.tool_call_id, + name=proto_tool_result.name, + content=proto_tool_result.content, + is_error=proto_tool_result.is_error if proto_tool_result.HasField('is_error') else None + ) + +@dataclass +class ContentPart: + """Content part supporting text and tool calling.""" + # One of these will be set + text: Optional[TextContent] = None + tool_call: Optional[ToolCallContent] = None + tool_result: Optional[ToolResultContent] = None + + @classmethod + def from_proto(cls, proto_part) -> ContentPart: + """Create ContentPart from protobuf.""" + if proto_part.HasField('text'): + return cls(text=TextContent.from_proto(proto_part.text)) + elif proto_part.HasField('tool_call'): + return cls(tool_call=ToolCallContent.from_proto(proto_part.tool_call)) + elif proto_part.HasField('tool_result'): + return cls(tool_result=ToolResultContent.from_proto(proto_part.tool_result)) + else: + return cls() @dataclass class ConversationResult: """Result from a single conversation input.""" - result: str + # DEPRECATED: Use parts instead for new implementations + result: Optional[str] = None parameters: Dict[str, GrpcAny] = field(default_factory=dict) + # Reason why the LLM stopped generating (e.g., "stop", "tool_calls", "length") + finish_reason: Optional[str] = None + + # NEW: Content parts in response + parts: Optional[List[ContentPart]] = None + + def get_text(self) -> Optional[str]: + """Extract text content from parts or fallback to deprecated result field.""" + if self.parts: + for part in self.parts: + if part.text: + return part.text.text + return self.result + + def get_tool_calls(self) -> List[ToolCall]: + """Extract tool calls from content parts.""" + tool_calls = [] + if self.parts: + for part in self.parts: + if hasattr(part, 'tool_call') and part.tool_call: + tool_calls.append(ToolCall( + id=part.tool_call.id, + type=part.tool_call.type, + name=part.tool_call.name, + arguments=part.tool_call.arguments + )) + return tool_calls + + def extract_tool_results(self) -> List[Tool]: + """Extract tool results from content parts.""" + tools = [] + if self.parts: + for part in self.parts: + if hasattr(part, 'tool_result') and part.tool_result: + tools.append(Tool( + name=part.tool_result.tool_name, + call_id=part.tool_result.call_id, + result=part.tool_result.result + )) + return tools + + @classmethod + def from_proto(cls, proto_result) -> ConversationResult: + """Create ConversationResult from protobuf.""" + # Convert parameters + parameters = {} + for key, value in proto_result.parameters.items(): + parameters[key] = value + + # Convert parts + parts = [] + for proto_part in proto_result.parts: + parts.append(ContentPart.from_proto(proto_part)) + + return cls( + result=proto_result.result if proto_result.result else None, + parameters=parameters, + finish_reason=proto_result.finish_reason if proto_result.HasField('finish_reason') else None, + parts=parts if parts else None + ) + +# Alias for backward compatibility - ConversationOutput was temporarily used +ConversationOutput = ConversationResult + @dataclass class ConversationResponse: @@ -1087,3 +1200,98 @@ class ConversationResponse: context_id: Optional[str] outputs: List[ConversationResult] + usage: Optional[ConversationUsage] = None + +@dataclass +class ConversationUsage: + """Usage information for conversation requests.""" + prompt_tokens: int + completion_tokens: int + total_tokens: int + + @classmethod + def from_proto(cls, proto_usage) -> ConversationUsage: + """Create ConversationUsage from protobuf usage.""" + return cls( + prompt_tokens=int(proto_usage.prompt_tokens), + completion_tokens=int(proto_usage.completion_tokens), + total_tokens=int(proto_usage.total_tokens) + ) + +@dataclass +class ConversationStreamChunk: + """Streaming conversation chunk response.""" + parts: List[ContentPart] + context_id: Optional[str] = None + finish_reason: Optional[str] = None + chunk_index: Optional[int] = None + is_delta: Optional[bool] = None + + @property + def content(self) -> Optional[str]: + """Backward compatibility: extract text content from parts.""" + for part in self.parts: + if part.text: + return part.text.text + return None + + @classmethod + def from_proto(cls, proto_chunk) -> ConversationStreamChunk: + """Create ConversationStreamChunk from protobuf.""" + parts = [] + for proto_part in proto_chunk.parts: + parts.append(ContentPart.from_proto(proto_part)) + + return cls( + parts=parts, + context_id=getattr(proto_chunk, 'context_id', None) or getattr( + proto_chunk, 'contextID', None + ), + finish_reason=proto_chunk.finish_reason if proto_chunk.HasField('finish_reason') else None, + chunk_index=proto_chunk.chunk_index if proto_chunk.HasField('chunk_index') else None, + is_delta=proto_chunk.is_delta if proto_chunk.HasField('is_delta') else None + ) + +@dataclass +class ConversationStreamComplete: + """Streaming conversation complete response.""" + usage: Optional[ConversationUsage] = None + context_id: Optional[str] = None + outputs: Optional[List[ConversationResult]] = None # NEW: Accumulated outputs/tool calls + + @classmethod + def from_proto(cls, proto_complete) -> ConversationStreamComplete: + """Create ConversationStreamComplete from protobuf.""" + usage = None + if hasattr(proto_complete, 'usage') and proto_complete.usage: + usage = ConversationUsage.from_proto(proto_complete.usage) + + # Convert outputs + outputs = [] + if hasattr(proto_complete, 'outputs'): + for proto_output in proto_complete.outputs: + outputs.append(ConversationResult.from_proto(proto_output)) + + return cls( + usage=usage, + context_id=getattr(proto_complete, 'context_id', None) or getattr( + proto_complete, 'contextID', None + ), + outputs=outputs if outputs else None + ) + +@dataclass +class ConversationStreamResponse: + """Streaming response for conversation API.""" + chunk: Optional[ConversationStreamChunk] = None + complete: Optional[ConversationStreamComplete] = None + + @property + def is_chunk(self) -> bool: + """Check if this is a chunk response.""" + return self.chunk is not None + + @property + def is_complete(self) -> bool: + """Check if this is a complete response.""" + return self.complete is not None diff --git a/dapr/clients/grpc/client.py b/dapr/clients/grpc/client.py index 9868af083..d4dc6e505 100644 --- a/dapr/clients/grpc/client.py +++ b/dapr/clients/grpc/client.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - """ Copyright 2023 The Dapr Authors Licensed under the Apache License, Version 2.0 (the "License"); @@ -12,87 +10,87 @@ See the License for the specific language governing permissions and limitations under the License. """ +import json +import socket import threading import time -import socket -import json import uuid - +from datetime import datetime +from typing import Any, Callable, Dict, Iterator, List, Optional, Sequence, Union from urllib.parse import urlencode - from warnings import warn -from typing import Callable, Dict, Optional, Text, Union, Sequence, List, Any -from typing_extensions import Self -from datetime import datetime -from google.protobuf.message import Message as GrpcMessage -from google.protobuf.empty_pb2 import Empty as GrpcEmpty -from google.protobuf.any_pb2 import Any as GrpcAny - import grpc # type: ignore +from google.protobuf.any_pb2 import Any as GrpcAny +from google.protobuf.empty_pb2 import Empty as GrpcEmpty +from google.protobuf.message import Message as GrpcMessage from grpc import ( # type: ignore - UnaryUnaryClientInterceptor, - UnaryStreamClientInterceptor, - StreamUnaryClientInterceptor, - StreamStreamClientInterceptor, RpcError, + StreamStreamClientInterceptor, + StreamUnaryClientInterceptor, + UnaryStreamClientInterceptor, + UnaryUnaryClientInterceptor, ) +from typing_extensions import Self -from dapr.clients.exceptions import DaprInternalError, DaprGrpcError -from dapr.clients.grpc._state import StateOptions, StateItem -from dapr.clients.grpc._helpers import getWorkflowRuntimeStatus -from dapr.clients.grpc._crypto import EncryptOptions, DecryptOptions -from dapr.clients.grpc.subscription import Subscription, StreamInactiveError -from dapr.clients.grpc.interceptors import DaprClientInterceptor, DaprClientTimeoutInterceptor -from dapr.clients.health import DaprHealth -from dapr.clients.retry import RetryPolicy -from dapr.common.pubsub.subscription import StreamCancelledError -from dapr.conf import settings -from dapr.proto import api_v1, api_service_v1, common_v1 -from dapr.proto.runtime.v1.dapr_pb2 import UnsubscribeConfigurationResponse -from dapr.version import __version__ - +from dapr.clients.exceptions import DaprGrpcError, DaprInternalError +from dapr.clients.grpc._crypto import DecryptOptions, EncryptOptions from dapr.clients.grpc._helpers import ( MetadataTuple, + getWorkflowRuntimeStatus, to_bytes, - validateNotNone, validateNotBlankString, + validateNotNone, ) -from dapr.conf.helpers import GrpcEndpoint from dapr.clients.grpc._request import ( - InvokeMethodRequest, BindingRequest, - TransactionalStateOperation, - EncryptRequestIterator, - DecryptRequestIterator, ConversationInput, + DecryptRequestIterator, + EncryptRequestIterator, + InvokeMethodRequest, + TransactionalStateOperation, ) from dapr.clients.grpc._response import ( BindingResponse, + BulkStateItem, + BulkStatesResponse, + ConfigurationResponse, + ConfigurationWatcher, + ConversationResponse, + ConversationResult, + ConversationStreamChunk, + ConversationStreamComplete, + ConversationStreamResponse, + ConversationUsage, DaprResponse, - GetSecretResponse, + DecryptResponse, + EncryptResponse, GetBulkSecretResponse, GetMetadataResponse, + GetSecretResponse, + GetWorkflowResponse, InvokeMethodResponse, - UnlockResponseStatus, - StateResponse, - BulkStatesResponse, - BulkStateItem, - ConfigurationResponse, QueryResponse, QueryResponseItem, RegisteredComponents, - ConfigurationWatcher, - TryLockResponse, - UnlockResponse, - GetWorkflowResponse, StartWorkflowResponse, - EncryptResponse, - DecryptResponse, + StateResponse, TopicEventResponse, - ConversationResponse, - ConversationResult, + TryLockResponse, + UnlockResponse, + UnlockResponseStatus, ) +from dapr.clients.grpc._state import StateItem, StateOptions +from dapr.clients.grpc.interceptors import DaprClientInterceptor, DaprClientTimeoutInterceptor +from dapr.clients.grpc.subscription import StreamInactiveError, Subscription +from dapr.clients.health import DaprHealth +from dapr.clients.retry import RetryPolicy +from dapr.common.pubsub.subscription import StreamCancelledError +from dapr.conf import settings +from dapr.conf.helpers import GrpcEndpoint +from dapr.proto import api_service_v1, api_v1, common_v1 +from dapr.proto.runtime.v1.dapr_pb2 import UnsubscribeConfigurationResponse +from dapr.version import __version__ class DaprGrpcClient: @@ -180,7 +178,9 @@ def __init__( options=options, ) - self._channel = grpc.intercept_channel(self._channel, DaprClientTimeoutInterceptor()) # type: ignore + self._channel = grpc.intercept_channel( + self._channel, DaprClientTimeoutInterceptor() + ) # type: ignore if settings.DAPR_API_TOKEN: api_token_interceptor = DaprClientInterceptor( @@ -1040,7 +1040,6 @@ def get_secret( Metadata for request can be passed with the secret_metadata field and custom metadata can be passed with metadata field. - The example gets a secret from secret store: from dapr.clients import DaprClient @@ -1091,7 +1090,6 @@ def get_bulk_secret( This gets all granted secrets from secret store. Metadata for request can be passed with the secret_metadata field. - The example gets all secrets from secret store: from dapr.clients import DaprClient @@ -1172,9 +1170,9 @@ def subscribe_configuration( self, store_name: str, keys: List[str], - handler: Callable[[Text, ConfigurationResponse], None], + handler: Callable[[str, ConfigurationResponse], None], config_metadata: Optional[Dict[str, str]] = dict(), - ) -> Text: + ) -> str: """Gets changed value from a config store with a key The example gets value from a config store: @@ -1724,56 +1722,455 @@ def converse_alpha1( inputs: List[ConversationInput], *, context_id: Optional[str] = None, - parameters: Optional[Dict[str, GrpcAny]] = None, + parameters: Optional[Dict[str, Union[str, int, float, bool, GrpcAny]]] = None, metadata: Optional[Dict[str, str]] = None, scrub_pii: Optional[bool] = None, temperature: Optional[float] = None, + tools: Optional[List] = None, ) -> ConversationResponse: """Invoke an LLM using the conversation API (Alpha). Args: name: Name of the LLM component to invoke - inputs: List of conversation inputs + inputs: List of conversation inputs (may include tool definitions and tool results) context_id: Optional ID for continuing an existing chat parameters: Optional custom parameters for the request metadata: Optional metadata for the component scrub_pii: Optional flag to scrub PII from inputs and outputs temperature: Optional temperature setting for the LLM to optimize for creativity or predictability + tools: Optional list of tools available for LLM use (passed at request level) Returns: - ConversationResponse containing the conversation results + ConversationResponse containing the conversation results (may include tool calls) Raises: DaprGrpcError: If the Dapr runtime returns an error """ - inputs_pb = [ - api_v1.ConversationInput(content=inp.content, role=inp.role, scrubPII=inp.scrub_pii) - for inp in inputs - ] + def convert_content_part_to_pb(part): + """Convert ContentPart to protobuf.""" + content_part_pb = api_v1.ContentPart() + + if part.text: + content_part_pb.text.text = part.text.text + elif part.tool_call: + content_part_pb.tool_call.id = part.tool_call.id + content_part_pb.tool_call.type = part.tool_call.type + content_part_pb.tool_call.name = part.tool_call.name + content_part_pb.tool_call.arguments = part.tool_call.arguments + elif part.tool_result: + content_part_pb.tool_result.tool_call_id = part.tool_result.tool_call_id + content_part_pb.tool_result.name = part.tool_result.name + content_part_pb.tool_result.content = part.tool_result.content + if part.tool_result.is_error is not None: + content_part_pb.tool_result.is_error = part.tool_result.is_error + elif part.tool_definitions: + for tool in part.tool_definitions.tools: + tool_pb = content_part_pb.tool_definitions.tools.add() + tool_pb.type = tool.type + tool_pb.name = tool.name + tool_pb.description = tool.description + if tool.parameters: + tool_pb.parameters = tool.parameters + + return content_part_pb + + inputs_pb = [] + for inp in inputs: + input_pb = api_v1.ConversationInput() + + # Set deprecated fields for backward compatibility + if inp.content: + input_pb.content = inp.content + if inp.role: + input_pb.role = inp.role + if inp.scrub_pii is not None: + input_pb.scrubPII = inp.scrub_pii + + # Set new parts field + if inp.parts: + for part in inp.parts: + part_pb = convert_content_part_to_pb(part) + input_pb.parts.append(part_pb) + + inputs_pb.append(input_pb) + + # Convert parameters to protobuf Any objects for better developer experience + from dapr.clients.grpc._helpers import convert_parameters_for_grpc + converted_parameters = convert_parameters_for_grpc(parameters) + + # Convert tools to protobuf format + tools_pb = [] + if tools: + for tool in tools: + tool_pb = api_v1.Tool() + tool_pb.type = tool.type + tool_pb.name = tool.name + tool_pb.description = tool.description + if tool.parameters: + tool_pb.parameters = tool.parameters + tools_pb.append(tool_pb) request = api_v1.ConversationRequest( name=name, inputs=inputs_pb, contextID=context_id, - parameters=parameters or {}, + parameters=converted_parameters, metadata=metadata or {}, scrubPII=scrub_pii, temperature=temperature, + tools=tools_pb, ) try: response, call = self.retry_policy.run_rpc(self._stub.ConverseAlpha1.with_call, request) - outputs = [ - ConversationResult(result=output.result, parameters=output.parameters) - for output in response.outputs - ] + def convert_content_part_from_pb(part_pb): + """Convert protobuf ContentPart to our dataclass.""" + from dapr.clients.grpc._request import Tool + from dapr.clients.grpc._response import ContentPart as ResponseContentPart + from dapr.clients.grpc._response import TextContent as ResponseTextContent + from dapr.clients.grpc._response import ToolCallContent as ResponseToolCallContent + from dapr.clients.grpc._response import ( + ToolResultContent as ResponseToolResultContent, + ) + + if part_pb.HasField('text'): + return ResponseContentPart(text=ResponseTextContent(text=part_pb.text.text)) + elif part_pb.HasField('tool_call'): + return ResponseContentPart(tool_call=ResponseToolCallContent( + id=part_pb.tool_call.id, + type=part_pb.tool_call.type, + name=part_pb.tool_call.name, + arguments=part_pb.tool_call.arguments + )) + elif part_pb.HasField('tool_result'): + return ResponseContentPart(tool_result=ResponseToolResultContent( + tool_call_id=part_pb.tool_result.tool_call_id, + name=part_pb.tool_result.name, + content=part_pb.tool_result.content, + is_error=part_pb.tool_result.is_error if part_pb.tool_result.HasField('is_error') else None + )) + elif part_pb.HasField('tool_definitions'): + tools = [] + for tool_pb in part_pb.tool_definitions.tools: + tools.append(Tool( + type=tool_pb.type, + name=tool_pb.name, + description=tool_pb.description, + parameters=tool_pb.parameters if tool_pb.parameters else None + )) + # Note: We don't typically return tool definitions in responses + return None + + return None + + outputs = [] + for output in response.outputs: + parts = [] + if output.parts: + for part_pb in output.parts: + part = convert_content_part_from_pb(part_pb) + if part: + parts.append(part) + + result = ConversationResult( + result=output.result if output.result else None, # Backward compatibility + parameters=dict(output.parameters), + finish_reason=output.finish_reason if output.HasField('finish_reason') else None, + parts=parts if parts else None + ) + outputs.append(result) + + # Extract usage information + usage = None + if response.HasField('usage'): + from dapr.clients.grpc._response import ConversationUsage + usage = ConversationUsage.from_proto(response.usage) + + return ConversationResponse(context_id=response.contextID, outputs=outputs, usage=usage) + except RpcError as err: + raise DaprGrpcError(err) from err + + def converse_stream_alpha1( + self, + name: str, + inputs: List[ConversationInput], + *, + context_id: Optional[str] = None, + parameters: Optional[Dict[str, Union[str, int, float, bool, GrpcAny]]] = None, + metadata: Optional[Dict[str, str]] = None, + scrub_pii: Optional[bool] = None, + temperature: Optional[float] = None, + tools: Optional[List] = None, + ) -> Iterator[ConversationStreamResponse]: + """Invoke an LLM using the streaming conversation API (Alpha). + + Args: + name: Name of the LLM component to invoke + inputs: List of conversation inputs (may include tool definitions and tool results) + context_id: Optional ID for continuing an existing chat + parameters: Optional custom parameters for the request + metadata: Optional metadata for the component + scrub_pii: Optional flag to scrub PII from inputs and outputs + temperature: Optional temperature setting for the LLM to optimize for creativity or predictability + tools: Optional list of tools available for LLM use (passed at request level) + + Yields: + ConversationStreamResponse containing conversation result chunks (may include tool calls) + + Raises: + DaprGrpcError: If the Dapr runtime returns an error + """ + from dapr.clients.grpc._response import ConversationStreamResponse + + def convert_content_part_to_pb(part): + """Convert ContentPart to protobuf.""" + content_part_pb = api_v1.ContentPart() + + if part.text: + content_part_pb.text.text = part.text.text + elif part.tool_call: + content_part_pb.tool_call.id = part.tool_call.id + content_part_pb.tool_call.type = part.tool_call.type + content_part_pb.tool_call.name = part.tool_call.name + content_part_pb.tool_call.arguments = part.tool_call.arguments + elif part.tool_result: + content_part_pb.tool_result.tool_call_id = part.tool_result.tool_call_id + content_part_pb.tool_result.name = part.tool_result.name + content_part_pb.tool_result.content = part.tool_result.content + if part.tool_result.is_error is not None: + content_part_pb.tool_result.is_error = part.tool_result.is_error + elif part.tool_definitions: + for tool in part.tool_definitions.tools: + tool_pb = content_part_pb.tool_definitions.tools.add() + tool_pb.type = tool.type + tool_pb.name = tool.name + tool_pb.description = tool.description + if tool.parameters: + tool_pb.parameters = tool.parameters + + return content_part_pb + + inputs_pb = [] + for inp in inputs: + input_pb = api_v1.ConversationInput() + + # Set deprecated fields for backward compatibility + if inp.content: + input_pb.content = inp.content + if inp.role: + input_pb.role = inp.role + if inp.scrub_pii is not None: + input_pb.scrubPII = inp.scrub_pii + + # Set new parts field + if inp.parts: + for part in inp.parts: + part_pb = convert_content_part_to_pb(part) + input_pb.parts.append(part_pb) + + inputs_pb.append(input_pb) + + # Convert parameters to protobuf Any objects for better developer experience + from dapr.clients.grpc._helpers import convert_parameters_for_grpc + converted_parameters = convert_parameters_for_grpc(parameters) + + # Convert tools to protobuf format + tools_pb = [] + if tools: + for tool in tools: + tool_pb = api_v1.Tool() + tool_pb.type = tool.type + tool_pb.name = tool.name + tool_pb.description = tool.description + if tool.parameters: + tool_pb.parameters = tool.parameters + tools_pb.append(tool_pb) + + request = api_v1.ConversationRequest( + name=name, + inputs=inputs_pb, + contextID=context_id, + parameters=converted_parameters, + metadata=metadata or {}, + scrubPII=scrub_pii, + temperature=temperature, + tools=tools_pb, + ) + + try: + stream = self._stub.ConverseStreamAlpha1(request) + + for response in stream: + if response.HasField('chunk'): + # Handle streaming chunk + chunk_pb = response.chunk + + # Convert parts from protobuf + parts = [] + if chunk_pb.parts: + from dapr.clients.grpc._response import ContentPart as ResponseContentPart + from dapr.clients.grpc._response import TextContent as ResponseTextContent + from dapr.clients.grpc._response import ( + ToolCallContent as ResponseToolCallContent, + ) + from dapr.clients.grpc._response import ( + ToolResultContent as ResponseToolResultContent, + ) + + for part_pb in chunk_pb.parts: + if part_pb.HasField('text'): + parts.append(ResponseContentPart(text=ResponseTextContent(text=part_pb.text.text))) + elif part_pb.HasField('tool_call'): + parts.append(ResponseContentPart(tool_call=ResponseToolCallContent( + id=part_pb.tool_call.id, + type=part_pb.tool_call.type, + name=part_pb.tool_call.name, + arguments=part_pb.tool_call.arguments + ))) + elif part_pb.HasField('tool_result'): + parts.append(ResponseContentPart(tool_result=ResponseToolResultContent( + tool_call_id=part_pb.tool_result.tool_call_id, + name=part_pb.tool_result.name, + content=part_pb.tool_result.content, + is_error=part_pb.tool_result.is_error if part_pb.tool_result.HasField('is_error') else None + ))) + + chunk = ConversationStreamChunk( + parts=parts if parts else [], + context_id=getattr(chunk_pb, 'context_id', None) or getattr(chunk_pb, 'contextID', None), + finish_reason=chunk_pb.finish_reason if chunk_pb.HasField('finish_reason') else None, + chunk_index=chunk_pb.chunk_index if chunk_pb.HasField('chunk_index') else None, + is_delta=chunk_pb.is_delta if chunk_pb.HasField('is_delta') else None + ) + + yield ConversationStreamResponse(chunk=chunk) + + elif response.HasField('complete'): + # Handle completion + complete_pb = response.complete + complete = ConversationStreamComplete.from_proto(complete_pb) + yield ConversationStreamResponse(complete=complete) - return ConversationResponse(context_id=response.contextID, outputs=outputs) except RpcError as err: raise DaprGrpcError(err) from err + def converse_stream_json( + self, + name: str, + inputs: List[ConversationInput], + *, + context_id: Optional[str] = None, + parameters: Optional[Dict[str, Union[str, int, float, bool, GrpcAny]]] = None, + metadata: Optional[Dict[str, str]] = None, + scrub_pii: Optional[bool] = None, + temperature: Optional[float] = None, + tools: Optional[List] = None, + ) -> Iterator[Dict[str, Any]]: + """Invoke an LLM using the streaming conversation API with JSON response format (Alpha). + + This method provides a JSON-formatted streaming interface that's compatible with + common LLM response formats, making it easier to integrate with existing tools + and frameworks that expect JSON responses. + + Args: + name: Name of the LLM component to invoke + inputs: List of conversation inputs + context_id: Optional ID for continuing an existing chat + parameters: Optional custom parameters for the request + metadata: Optional metadata for the component + scrub_pii: Optional flag to scrub PII from inputs and outputs + temperature: Optional temperature setting for the LLM to optimize for creativity or predictability + tools: Optional list of tools available for LLM use (passed at request level) + + Yields: + Dict[str, Any]: JSON-formatted conversation response chunks with structure: + { + "choices": [ + { + "delta": { + "content": "chunk content", + "role": "assistant" + }, + "index": 0, + "finish_reason": None + } + ], + "context_id": "optional context ID", + "usage": { + "prompt_tokens": 0, + "completion_tokens": 0, + "total_tokens": 0 + } + } + + Raises: + DaprGrpcError: If the Dapr runtime returns an error + """ + for chunk in self.converse_stream_alpha1( + name=name, + inputs=inputs, + context_id=context_id, + parameters=parameters, + metadata=metadata, + scrub_pii=scrub_pii, + temperature=temperature, + tools=tools, + ): + # Transform the chunk to JSON format compatible with common LLM APIs + chunk_dict = { + 'choices': [], + 'context_id': None, + 'usage': None, + } + + # Handle streaming chunk data + if chunk.chunk: + choice = {'delta': {}, 'index': 0, 'finish_reason': chunk.chunk.finish_reason} + + # Add content if present in chunk parts + if chunk.chunk.parts: + for part in chunk.chunk.parts: + if part.text: + choice['delta']['content'] = part.text.text + choice['delta']['role'] = 'assistant' + elif part.tool_call: + if 'tool_calls' not in choice['delta']: + choice['delta']['tool_calls'] = [] + choice['delta']['tool_calls'].append( + { + 'id': part.tool_call.id, + 'type': part.tool_call.type, + 'function': { + 'name': part.tool_call.name, + 'arguments': part.tool_call.arguments, + }, + } + ) + + chunk_dict['choices'] = [choice] + + # Handle context ID from chunk + if chunk.chunk.context_id: + chunk_dict['context_id'] = chunk.chunk.context_id + + # Handle completion data (final chunk with usage info) + if chunk.complete: + # Handle context ID from complete + if chunk.complete.context_id: + chunk_dict['context_id'] = chunk.complete.context_id + + # Handle usage information + if chunk.complete.usage: + chunk_dict['usage'] = { + 'prompt_tokens': chunk.complete.usage.prompt_tokens, + 'completion_tokens': chunk.complete.usage.completion_tokens, + 'total_tokens': chunk.complete.usage.total_tokens, + } + + yield chunk_dict + def wait(self, timeout_s: float): """Waits for sidecar to be available within the timeout. diff --git a/dapr/proto/common/v1/common_pb2.py b/dapr/proto/common/v1/common_pb2.py index 673bac1ba..7f8feb46b 100644 --- a/dapr/proto/common/v1/common_pb2.py +++ b/dapr/proto/common/v1/common_pb2.py @@ -13,9 +13,10 @@ from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 +from google.protobuf import duration_pb2 as google_dot_protobuf_dot_duration__pb2 -DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n!dapr/proto/common/v1/common.proto\x12\x14\x64\x61pr.proto.common.v1\x1a\x19google/protobuf/any.proto\"\xd0\x01\n\rHTTPExtension\x12\x36\n\x04verb\x18\x01 \x01(\x0e\x32(.dapr.proto.common.v1.HTTPExtension.Verb\x12\x13\n\x0bquerystring\x18\x02 \x01(\t\"r\n\x04Verb\x12\x08\n\x04NONE\x10\x00\x12\x07\n\x03GET\x10\x01\x12\x08\n\x04HEAD\x10\x02\x12\x08\n\x04POST\x10\x03\x12\x07\n\x03PUT\x10\x04\x12\n\n\x06\x44\x45LETE\x10\x05\x12\x0b\n\x07\x43ONNECT\x10\x06\x12\x0b\n\x07OPTIONS\x10\x07\x12\t\n\x05TRACE\x10\x08\x12\t\n\x05PATCH\x10\t\"\x96\x01\n\rInvokeRequest\x12\x0e\n\x06method\x18\x01 \x01(\t\x12\"\n\x04\x64\x61ta\x18\x02 \x01(\x0b\x32\x14.google.protobuf.Any\x12\x14\n\x0c\x63ontent_type\x18\x03 \x01(\t\x12;\n\x0ehttp_extension\x18\x04 \x01(\x0b\x32#.dapr.proto.common.v1.HTTPExtension\"J\n\x0eInvokeResponse\x12\"\n\x04\x64\x61ta\x18\x01 \x01(\x0b\x32\x14.google.protobuf.Any\x12\x14\n\x0c\x63ontent_type\x18\x02 \x01(\t\"*\n\rStreamPayload\x12\x0c\n\x04\x64\x61ta\x18\x01 \x01(\x0c\x12\x0b\n\x03seq\x18\x02 \x01(\x04\"\xf8\x01\n\tStateItem\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x0c\x12(\n\x04\x65tag\x18\x03 \x01(\x0b\x32\x1a.dapr.proto.common.v1.Etag\x12?\n\x08metadata\x18\x04 \x03(\x0b\x32-.dapr.proto.common.v1.StateItem.MetadataEntry\x12\x33\n\x07options\x18\x05 \x01(\x0b\x32\".dapr.proto.common.v1.StateOptions\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"\x15\n\x04\x45tag\x12\r\n\x05value\x18\x01 \x01(\t\"\xef\x02\n\x0cStateOptions\x12H\n\x0b\x63oncurrency\x18\x01 \x01(\x0e\x32\x33.dapr.proto.common.v1.StateOptions.StateConcurrency\x12H\n\x0b\x63onsistency\x18\x02 \x01(\x0e\x32\x33.dapr.proto.common.v1.StateOptions.StateConsistency\"h\n\x10StateConcurrency\x12\x1b\n\x17\x43ONCURRENCY_UNSPECIFIED\x10\x00\x12\x1b\n\x17\x43ONCURRENCY_FIRST_WRITE\x10\x01\x12\x1a\n\x16\x43ONCURRENCY_LAST_WRITE\x10\x02\"a\n\x10StateConsistency\x12\x1b\n\x17\x43ONSISTENCY_UNSPECIFIED\x10\x00\x12\x18\n\x14\x43ONSISTENCY_EVENTUAL\x10\x01\x12\x16\n\x12\x43ONSISTENCY_STRONG\x10\x02\"\xad\x01\n\x11\x43onfigurationItem\x12\r\n\x05value\x18\x01 \x01(\t\x12\x0f\n\x07version\x18\x02 \x01(\t\x12G\n\x08metadata\x18\x03 \x03(\x0b\x32\x35.dapr.proto.common.v1.ConfigurationItem.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x42i\n\nio.dapr.v1B\x0c\x43ommonProtosZ/github.com/dapr/dapr/pkg/proto/common/v1;common\xaa\x02\x1b\x44\x61pr.Client.Autogen.Grpc.v1b\x06proto3') +DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n!dapr/proto/common/v1/common.proto\x12\x14\x64\x61pr.proto.common.v1\x1a\x19google/protobuf/any.proto\x1a\x1egoogle/protobuf/duration.proto\"\xd0\x01\n\rHTTPExtension\x12\x36\n\x04verb\x18\x01 \x01(\x0e\x32(.dapr.proto.common.v1.HTTPExtension.Verb\x12\x13\n\x0bquerystring\x18\x02 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\x03(\x0b\x32-.dapr.proto.common.v1.StateItem.MetadataEntry\x12\x33\n\x07options\x18\x05 \x01(\x0b\x32\".dapr.proto.common.v1.StateOptions\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"\x15\n\x04\x45tag\x12\r\n\x05value\x18\x01 \x01(\t\"\xef\x02\n\x0cStateOptions\x12H\n\x0b\x63oncurrency\x18\x01 \x01(\x0e\x32\x33.dapr.proto.common.v1.StateOptions.StateConcurrency\x12H\n\x0b\x63onsistency\x18\x02 \x01(\x0e\x32\x33.dapr.proto.common.v1.StateOptions.StateConsistency\"h\n\x10StateConcurrency\x12\x1b\n\x17\x43ONCURRENCY_UNSPECIFIED\x10\x00\x12\x1b\n\x17\x43ONCURRENCY_FIRST_WRITE\x10\x01\x12\x1a\n\x16\x43ONCURRENCY_LAST_WRITE\x10\x02\"a\n\x10StateConsistency\x12\x1b\n\x17\x43ONSISTENCY_UNSPECIFIED\x10\x00\x12\x18\n\x14\x43ONSISTENCY_EVENTUAL\x10\x01\x12\x16\n\x12\x43ONSISTENCY_STRONG\x10\x02\"\xad\x01\n\x11\x43onfigurationItem\x12\r\n\x05value\x18\x01 \x01(\t\x12\x0f\n\x07version\x18\x02 \x01(\t\x12G\n\x08metadata\x18\x03 \x03(\x0b\x32\x35.dapr.proto.common.v1.ConfigurationItem.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"\x9c\x01\n\x10JobFailurePolicy\x12:\n\x04\x64rop\x18\x01 \x01(\x0b\x32*.dapr.proto.common.v1.JobFailurePolicyDropH\x00\x12\x42\n\x08\x63onstant\x18\x02 \x01(\x0b\x32..dapr.proto.common.v1.JobFailurePolicyConstantH\x00\x42\x08\n\x06policy\"\x16\n\x14JobFailurePolicyDrop\"q\n\x18JobFailurePolicyConstant\x12+\n\x08interval\x18\x01 \x01(\x0b\x32\x19.google.protobuf.Duration\x12\x18\n\x0bmax_retries\x18\x02 \x01(\rH\x00\x88\x01\x01\x42\x0e\n\x0c_max_retriesBi\n\nio.dapr.v1B\x0c\x43ommonProtosZ/github.com/dapr/dapr/pkg/proto/common/v1;common\xaa\x02\x1b\x44\x61pr.Client.Autogen.Grpc.v1b\x06proto3') _globals = globals() _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) @@ -27,30 +28,36 @@ _globals['_STATEITEM_METADATAENTRY']._serialized_options = b'8\001' _globals['_CONFIGURATIONITEM_METADATAENTRY']._options = 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_globals['_STATEOPTIONS_STATECONCURRENCY']._serialized_start=1009 - _globals['_STATEOPTIONS_STATECONCURRENCY']._serialized_end=1113 - _globals['_STATEOPTIONS_STATECONSISTENCY']._serialized_start=1115 - _globals['_STATEOPTIONS_STATECONSISTENCY']._serialized_end=1212 - _globals['_CONFIGURATIONITEM']._serialized_start=1215 - _globals['_CONFIGURATIONITEM']._serialized_end=1388 - _globals['_CONFIGURATIONITEM_METADATAENTRY']._serialized_start=772 - _globals['_CONFIGURATIONITEM_METADATAENTRY']._serialized_end=819 + _globals['_HTTPEXTENSION']._serialized_start=119 + _globals['_HTTPEXTENSION']._serialized_end=327 + _globals['_HTTPEXTENSION_VERB']._serialized_start=213 + _globals['_HTTPEXTENSION_VERB']._serialized_end=327 + _globals['_INVOKEREQUEST']._serialized_start=330 + _globals['_INVOKEREQUEST']._serialized_end=480 + _globals['_INVOKERESPONSE']._serialized_start=482 + _globals['_INVOKERESPONSE']._serialized_end=556 + _globals['_STREAMPAYLOAD']._serialized_start=558 + _globals['_STREAMPAYLOAD']._serialized_end=600 + _globals['_STATEITEM']._serialized_start=603 + _globals['_STATEITEM']._serialized_end=851 + _globals['_STATEITEM_METADATAENTRY']._serialized_start=804 + _globals['_STATEITEM_METADATAENTRY']._serialized_end=851 + _globals['_ETAG']._serialized_start=853 + _globals['_ETAG']._serialized_end=874 + _globals['_STATEOPTIONS']._serialized_start=877 + _globals['_STATEOPTIONS']._serialized_end=1244 + _globals['_STATEOPTIONS_STATECONCURRENCY']._serialized_start=1041 + _globals['_STATEOPTIONS_STATECONCURRENCY']._serialized_end=1145 + _globals['_STATEOPTIONS_STATECONSISTENCY']._serialized_start=1147 + _globals['_STATEOPTIONS_STATECONSISTENCY']._serialized_end=1244 + _globals['_CONFIGURATIONITEM']._serialized_start=1247 + _globals['_CONFIGURATIONITEM']._serialized_end=1420 + _globals['_CONFIGURATIONITEM_METADATAENTRY']._serialized_start=804 + _globals['_CONFIGURATIONITEM_METADATAENTRY']._serialized_end=851 + _globals['_JOBFAILUREPOLICY']._serialized_start=1423 + _globals['_JOBFAILUREPOLICY']._serialized_end=1579 + _globals['_JOBFAILUREPOLICYDROP']._serialized_start=1581 + _globals['_JOBFAILUREPOLICYDROP']._serialized_end=1603 + _globals['_JOBFAILUREPOLICYCONSTANT']._serialized_start=1605 + _globals['_JOBFAILUREPOLICYCONSTANT']._serialized_end=1718 # @@protoc_insertion_point(module_scope) diff --git a/dapr/proto/common/v1/common_pb2.pyi b/dapr/proto/common/v1/common_pb2.pyi index b018cd8b4..bc44e3359 100644 --- a/dapr/proto/common/v1/common_pb2.pyi +++ b/dapr/proto/common/v1/common_pb2.pyi @@ -18,6 +18,7 @@ import builtins import collections.abc import google.protobuf.any_pb2 import google.protobuf.descriptor +import google.protobuf.duration_pb2 import google.protobuf.internal.containers import google.protobuf.internal.enum_type_wrapper import google.protobuf.message @@ -373,3 +374,67 @@ class ConfigurationItem(google.protobuf.message.Message): def ClearField(self, field_name: typing.Literal["metadata", b"metadata", "value", b"value", "version", b"version"]) -> None: ... global___ConfigurationItem = ConfigurationItem + +@typing.final +class JobFailurePolicy(google.protobuf.message.Message): + """JobFailurePolicy defines the policy to apply when a job fails to trigger.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + DROP_FIELD_NUMBER: builtins.int + CONSTANT_FIELD_NUMBER: builtins.int + @property + def drop(self) -> global___JobFailurePolicyDrop: ... + @property + def constant(self) -> global___JobFailurePolicyConstant: ... + def __init__( + self, + *, + drop: global___JobFailurePolicyDrop | None = ..., + constant: global___JobFailurePolicyConstant | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["constant", b"constant", "drop", b"drop", "policy", b"policy"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["constant", b"constant", "drop", b"drop", "policy", b"policy"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["policy", b"policy"]) -> typing.Literal["drop", "constant"] | None: ... + +global___JobFailurePolicy = JobFailurePolicy + +@typing.final +class JobFailurePolicyDrop(google.protobuf.message.Message): + """JobFailurePolicyDrop is a policy which drops the job tick when the job fails to trigger.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___JobFailurePolicyDrop = JobFailurePolicyDrop + +@typing.final +class JobFailurePolicyConstant(google.protobuf.message.Message): + """JobFailurePolicyConstant is a policy which retries the job at a consistent interval when the job fails to trigger.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INTERVAL_FIELD_NUMBER: builtins.int + MAX_RETRIES_FIELD_NUMBER: builtins.int + max_retries: builtins.int + """max_retries is the optional maximum number of retries to attempt before giving up. + If unset, the Job will be retried indefinitely. + """ + @property + def interval(self) -> google.protobuf.duration_pb2.Duration: + """interval is the constant delay to wait before retrying the job.""" + + def __init__( + self, + *, + interval: google.protobuf.duration_pb2.Duration | None = ..., + max_retries: builtins.int | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_max_retries", b"_max_retries", "interval", b"interval", "max_retries", b"max_retries"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_max_retries", b"_max_retries", "interval", b"interval", "max_retries", b"max_retries"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_max_retries", b"_max_retries"]) -> typing.Literal["max_retries"] | None: ... + +global___JobFailurePolicyConstant = JobFailurePolicyConstant diff --git a/dapr/proto/runtime/v1/dapr_pb2.py b/dapr/proto/runtime/v1/dapr_pb2.py index 53b664fdd..57ca9d160 100644 --- a/dapr/proto/runtime/v1/dapr_pb2.py +++ 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_globals['_DAPR'].methods_by_name['GetWorkflowAlpha1']._options = None @@ -109,8 +113,8 @@ _globals['_DAPR'].methods_by_name['ResumeWorkflowAlpha1']._serialized_options = b'\210\002\001' _globals['_DAPR'].methods_by_name['RaiseEventWorkflowAlpha1']._options = None _globals['_DAPR'].methods_by_name['RaiseEventWorkflowAlpha1']._serialized_options = b'\210\002\001' - _globals['_PUBSUBSUBSCRIPTIONTYPE']._serialized_start=15991 - _globals['_PUBSUBSUBSCRIPTIONTYPE']._serialized_end=16078 + _globals['_PUBSUBSUBSCRIPTIONTYPE']._serialized_start=17913 + _globals['_PUBSUBSUBSCRIPTIONTYPE']._serialized_end=18000 _globals['_INVOKESERVICEREQUEST']._serialized_start=224 _globals['_INVOKESERVICEREQUEST']._serialized_end=312 _globals['_GETSTATEREQUEST']._serialized_start=315 @@ -240,157 +244,179 @@ _globals['_GETMETADATAREQUEST']._serialized_start=7029 _globals['_GETMETADATAREQUEST']._serialized_end=7049 _globals['_GETMETADATARESPONSE']._serialized_start=7052 - 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_globals['_CONVERSATIONSTREAMRESPONSE']._serialized_start=16967 + _globals['_CONVERSATIONSTREAMRESPONSE']._serialized_end=17148 + _globals['_CONVERSATIONSTREAMCHUNK']._serialized_start=17151 + _globals['_CONVERSATIONSTREAMCHUNK']._serialized_end=17351 + _globals['_CONVERSATIONSTREAMCOMPLETE']._serialized_start=17354 + _globals['_CONVERSATIONSTREAMCOMPLETE']._serialized_end=17552 + _globals['_CONVERSATIONUSAGE']._serialized_start=17555 + _globals['_CONVERSATIONUSAGE']._serialized_end=17763 + _globals['_TOOL']._serialized_start=17765 + _globals['_TOOL']._serialized_end=17840 + _globals['_TOOLCALL']._serialized_start=17842 + _globals['_TOOLCALL']._serialized_end=17911 + _globals['_DAPR']._serialized_start=18003 + _globals['_DAPR']._serialized_end=24460 # @@protoc_insertion_point(module_scope) diff --git a/dapr/proto/runtime/v1/dapr_pb2.pyi b/dapr/proto/runtime/v1/dapr_pb2.pyi index 7b6ce8a70..f9aac54c1 100644 --- a/dapr/proto/runtime/v1/dapr_pb2.pyi +++ b/dapr/proto/runtime/v1/dapr_pb2.pyi @@ -1613,6 +1613,7 @@ class GetMetadataResponse(google.protobuf.message.Message): RUNTIME_VERSION_FIELD_NUMBER: builtins.int ENABLED_FEATURES_FIELD_NUMBER: builtins.int ACTOR_RUNTIME_FIELD_NUMBER: builtins.int + SCHEDULER_FIELD_NUMBER: builtins.int id: builtins.str runtime_version: builtins.str @property @@ -1632,9 +1633,9 @@ class GetMetadataResponse(google.protobuf.message.Message): @property def enabled_features(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: ... @property - def actor_runtime(self) -> global___ActorRuntime: - """TODO: Cassie: probably add scheduler runtime status""" - + def actor_runtime(self) -> global___ActorRuntime: ... + @property + def scheduler(self) -> global___MetadataScheduler: ... def __init__( self, *, @@ -1648,12 +1649,36 @@ class GetMetadataResponse(google.protobuf.message.Message): runtime_version: builtins.str = ..., enabled_features: collections.abc.Iterable[builtins.str] | None = ..., actor_runtime: global___ActorRuntime | None = ..., + scheduler: global___MetadataScheduler | None = ..., ) -> None: ... - def HasField(self, field_name: typing.Literal["actor_runtime", b"actor_runtime", "app_connection_properties", b"app_connection_properties"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["active_actors_count", b"active_actors_count", "actor_runtime", b"actor_runtime", "app_connection_properties", b"app_connection_properties", "enabled_features", b"enabled_features", "extended_metadata", b"extended_metadata", "http_endpoints", b"http_endpoints", "id", b"id", "registered_components", b"registered_components", "runtime_version", b"runtime_version", "subscriptions", b"subscriptions"]) -> None: ... + def HasField(self, field_name: typing.Literal["_scheduler", b"_scheduler", "actor_runtime", b"actor_runtime", "app_connection_properties", b"app_connection_properties", "scheduler", b"scheduler"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_scheduler", b"_scheduler", "active_actors_count", b"active_actors_count", "actor_runtime", b"actor_runtime", "app_connection_properties", b"app_connection_properties", "enabled_features", b"enabled_features", "extended_metadata", b"extended_metadata", "http_endpoints", b"http_endpoints", "id", b"id", "registered_components", b"registered_components", "runtime_version", b"runtime_version", "scheduler", b"scheduler", "subscriptions", b"subscriptions"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_scheduler", b"_scheduler"]) -> typing.Literal["scheduler"] | None: ... global___GetMetadataResponse = GetMetadataResponse +@typing.final +class MetadataScheduler(google.protobuf.message.Message): + """MetadataScheduler is a message that contains the list of addresses of the + scheduler connections. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONNECTED_ADDRESSES_FIELD_NUMBER: builtins.int + @property + def connected_addresses(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: + """connected_addresses the list of addresses of the scheduler connections.""" + + def __init__( + self, + *, + connected_addresses: collections.abc.Iterable[builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["connected_addresses", b"connected_addresses"]) -> None: ... + +global___MetadataScheduler = MetadataScheduler + @typing.final class ActorRuntime(google.protobuf.message.Message): DESCRIPTOR: google.protobuf.descriptor.Descriptor @@ -3141,6 +3166,8 @@ class Job(google.protobuf.message.Message): DUE_TIME_FIELD_NUMBER: builtins.int TTL_FIELD_NUMBER: builtins.int DATA_FIELD_NUMBER: builtins.int + OVERWRITE_FIELD_NUMBER: builtins.int + FAILURE_POLICY_FIELD_NUMBER: builtins.int name: builtins.str """The unique name for the job.""" schedule: builtins.str @@ -3180,12 +3207,18 @@ class Job(google.protobuf.message.Message): "point in time" string in the format of RFC3339, Go duration string (calculated from job creation time), or non-repeating ISO8601. """ + overwrite: builtins.bool + """If true, allows this job to overwrite an existing job with the same name.""" @property def data(self) -> google.protobuf.any_pb2.Any: """payload is the serialized job payload that will be sent to the recipient when the job is triggered. """ + @property + def failure_policy(self) -> dapr.proto.common.v1.common_pb2.JobFailurePolicy: + """failure_policy is the optional policy for handling job failures.""" + def __init__( self, *, @@ -3195,12 +3228,16 @@ class Job(google.protobuf.message.Message): due_time: builtins.str | None = ..., ttl: builtins.str | None = ..., data: google.protobuf.any_pb2.Any | None = ..., + overwrite: builtins.bool = ..., + failure_policy: dapr.proto.common.v1.common_pb2.JobFailurePolicy | None = ..., ) -> None: ... - def HasField(self, field_name: typing.Literal["_due_time", b"_due_time", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["_due_time", b"_due_time", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "name", b"name", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> None: ... + def HasField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "name", b"name", "overwrite", b"overwrite", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> None: ... @typing.overload def WhichOneof(self, oneof_group: typing.Literal["_due_time", b"_due_time"]) -> typing.Literal["due_time"] | None: ... @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_failure_policy", b"_failure_policy"]) -> typing.Literal["failure_policy"] | None: ... + @typing.overload def WhichOneof(self, oneof_group: typing.Literal["_repeats", b"_repeats"]) -> typing.Literal["repeats"] | None: ... @typing.overload def WhichOneof(self, oneof_group: typing.Literal["_schedule", b"_schedule"]) -> typing.Literal["schedule"] | None: ... @@ -3362,6 +3399,7 @@ class ConversationRequest(google.protobuf.message.Message): METADATA_FIELD_NUMBER: builtins.int SCRUBPII_FIELD_NUMBER: builtins.int TEMPERATURE_FIELD_NUMBER: builtins.int + TOOLS_FIELD_NUMBER: builtins.int name: builtins.str """The name of Conversation component""" contextID: builtins.str @@ -3382,6 +3420,10 @@ class ConversationRequest(google.protobuf.message.Message): def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: """The metadata passing to conversation components.""" + @property + def tools(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Tool]: + """Tools available for the LLM to call""" + def __init__( self, *, @@ -3392,9 +3434,10 @@ class ConversationRequest(google.protobuf.message.Message): metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., scrubPII: builtins.bool | None = ..., temperature: builtins.float | None = ..., + tools: collections.abc.Iterable[global___Tool] | None = ..., ) -> None: ... def HasField(self, field_name: typing.Literal["_contextID", b"_contextID", "_scrubPII", b"_scrubPII", "_temperature", b"_temperature", "contextID", b"contextID", "scrubPII", b"scrubPII", "temperature", b"temperature"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["_contextID", b"_contextID", "_scrubPII", b"_scrubPII", "_temperature", b"_temperature", "contextID", b"contextID", "inputs", b"inputs", "metadata", b"metadata", "name", b"name", "parameters", b"parameters", "scrubPII", b"scrubPII", "temperature", b"temperature"]) -> None: ... + def ClearField(self, field_name: typing.Literal["_contextID", b"_contextID", "_scrubPII", b"_scrubPII", "_temperature", b"_temperature", "contextID", b"contextID", "inputs", b"inputs", "metadata", b"metadata", "name", b"name", "parameters", b"parameters", "scrubPII", b"scrubPII", "temperature", b"temperature", "tools", b"tools"]) -> None: ... @typing.overload def WhichOneof(self, oneof_group: typing.Literal["_contextID", b"_contextID"]) -> typing.Literal["contextID"] | None: ... @typing.overload @@ -3411,21 +3454,29 @@ class ConversationInput(google.protobuf.message.Message): CONTENT_FIELD_NUMBER: builtins.int ROLE_FIELD_NUMBER: builtins.int SCRUBPII_FIELD_NUMBER: builtins.int + PARTS_FIELD_NUMBER: builtins.int content: builtins.str - """The content to send to the llm""" + """DEPRECATED: Use parts instead for new implementations""" role: builtins.str """The role to set for the message""" scrubPII: builtins.bool """Scrub PII data that goes into the LLM""" + @property + def parts(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ContentPart]: + """Content parts for rich content within each agent's input. + In multi-turn conversations the output becomes part of the next request input + """ + def __init__( self, *, content: builtins.str = ..., role: builtins.str | None = ..., scrubPII: builtins.bool | None = ..., + parts: collections.abc.Iterable[global___ContentPart] | None = ..., ) -> None: ... def HasField(self, field_name: typing.Literal["_role", b"_role", "_scrubPII", b"_scrubPII", "role", b"role", "scrubPII", b"scrubPII"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["_role", b"_role", "_scrubPII", b"_scrubPII", "content", b"content", "role", b"role", "scrubPII", b"scrubPII"]) -> None: ... + def ClearField(self, field_name: typing.Literal["_role", b"_role", "_scrubPII", b"_scrubPII", "content", b"content", "parts", b"parts", "role", b"role", "scrubPII", b"scrubPII"]) -> None: ... @typing.overload def WhichOneof(self, oneof_group: typing.Literal["_role", b"_role"]) -> typing.Literal["role"] | None: ... @typing.overload @@ -3433,9 +3484,116 @@ class ConversationInput(google.protobuf.message.Message): global___ConversationInput = ConversationInput +@typing.final +class ContentPart(google.protobuf.message.Message): + """Content part supporting text and tool calling (rich media out of scope)""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TEXT_FIELD_NUMBER: builtins.int + TOOL_CALL_FIELD_NUMBER: builtins.int + TOOL_RESULT_FIELD_NUMBER: builtins.int + @property + def text(self) -> global___TextContent: ... + @property + def tool_call(self) -> global___ToolCallContent: ... + @property + def tool_result(self) -> global___ToolResultContent: + """Future: ImageContent image = 4; + Future: DocumentContent document = 5; + """ + + def __init__( + self, + *, + text: global___TextContent | None = ..., + tool_call: global___ToolCallContent | None = ..., + tool_result: global___ToolResultContent | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["content_type", b"content_type", "text", b"text", "tool_call", b"tool_call", "tool_result", b"tool_result"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["content_type", b"content_type", "text", b"text", "tool_call", b"tool_call", "tool_result", b"tool_result"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["content_type", b"content_type"]) -> typing.Literal["text", "tool_call", "tool_result"] | None: ... + +global___ContentPart = ContentPart + +@typing.final +class TextContent(google.protobuf.message.Message): + """Simple text content""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TEXT_FIELD_NUMBER: builtins.int + text: builtins.str + def __init__( + self, + *, + text: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["text", b"text"]) -> None: ... + +global___TextContent = TextContent + +@typing.final +class ToolCallContent(google.protobuf.message.Message): + """Tool call as content part""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + ARGUMENTS_FIELD_NUMBER: builtins.int + id: builtins.str + type: builtins.str + """"function" """ + name: builtins.str + arguments: builtins.str + """Function arguments as JSON string""" + def __init__( + self, + *, + id: builtins.str = ..., + type: builtins.str = ..., + name: builtins.str = ..., + arguments: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["arguments", b"arguments", "id", b"id", "name", b"name", "type", b"type"]) -> None: ... + +global___ToolCallContent = ToolCallContent + +@typing.final +class ToolResultContent(google.protobuf.message.Message): + """Tool result as content part""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TOOL_CALL_ID_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + CONTENT_FIELD_NUMBER: builtins.int + IS_ERROR_FIELD_NUMBER: builtins.int + tool_call_id: builtins.str + name: builtins.str + content: builtins.str + """Tool result as text""" + is_error: builtins.bool + """Indicates tool execution error""" + def __init__( + self, + *, + tool_call_id: builtins.str = ..., + name: builtins.str = ..., + content: builtins.str = ..., + is_error: builtins.bool | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_is_error", b"_is_error", "is_error", b"is_error"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_is_error", b"_is_error", "content", b"content", "is_error", b"is_error", "name", b"name", "tool_call_id", b"tool_call_id"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_is_error", b"_is_error"]) -> typing.Literal["is_error"] | None: ... + +global___ToolResultContent = ToolResultContent + @typing.final class ConversationResult(google.protobuf.message.Message): - """ConversationResult is the result for one input.""" + """ConversationResult represents a single output from the assistant or tool in response to a conversation input.""" DESCRIPTOR: google.protobuf.descriptor.Descriptor @@ -3459,44 +3617,256 @@ class ConversationResult(google.protobuf.message.Message): RESULT_FIELD_NUMBER: builtins.int PARAMETERS_FIELD_NUMBER: builtins.int + FINISH_REASON_FIELD_NUMBER: builtins.int + PARTS_FIELD_NUMBER: builtins.int result: builtins.str - """Result for the one conversation input.""" + """DEPRECATED: Use parts instead for new implementations""" + finish_reason: builtins.str + """Reason why the LLM stopped generating (e.g., "stop", "tool_calls", "length")""" @property def parameters(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, google.protobuf.any_pb2.Any]: """Parameters for all custom fields.""" + @property + def parts(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ContentPart]: + """Content parts in response""" + def __init__( self, *, result: builtins.str = ..., parameters: collections.abc.Mapping[builtins.str, google.protobuf.any_pb2.Any] | None = ..., + finish_reason: builtins.str | None = ..., + parts: collections.abc.Iterable[global___ContentPart] | None = ..., ) -> None: ... - def ClearField(self, field_name: typing.Literal["parameters", b"parameters", "result", b"result"]) -> None: ... + def HasField(self, field_name: typing.Literal["_finish_reason", b"_finish_reason", "finish_reason", b"finish_reason"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_finish_reason", b"_finish_reason", "finish_reason", b"finish_reason", "parameters", b"parameters", "parts", b"parts", "result", b"result"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_finish_reason", b"_finish_reason"]) -> typing.Literal["finish_reason"] | None: ... global___ConversationResult = ConversationResult @typing.final class ConversationResponse(google.protobuf.message.Message): - """ConversationResponse is the response for Conversation.""" + """ConversationResponse is the response message for a conversation request.""" DESCRIPTOR: google.protobuf.descriptor.Descriptor CONTEXTID_FIELD_NUMBER: builtins.int OUTPUTS_FIELD_NUMBER: builtins.int + USAGE_FIELD_NUMBER: builtins.int contextID: builtins.str """The ID of an existing chat (like in ChatGPT)""" @property def outputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationResult]: - """An array of results.""" + """An array of outputs. Some providers (e.g., OpenAI) return a single output with multiple parts, while others (e.g., Anthropic) may return multiple outputs with one part each.""" + + @property + def usage(self) -> global___ConversationUsage: + """Usage statistics if available""" def __init__( self, *, contextID: builtins.str | None = ..., outputs: collections.abc.Iterable[global___ConversationResult] | None = ..., + usage: global___ConversationUsage | None = ..., ) -> None: ... - def HasField(self, field_name: typing.Literal["_contextID", b"_contextID", "contextID", b"contextID"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["_contextID", b"_contextID", "contextID", b"contextID", "outputs", b"outputs"]) -> None: ... + def HasField(self, field_name: typing.Literal["_contextID", b"_contextID", "_usage", b"_usage", "contextID", b"contextID", "usage", b"usage"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_contextID", b"_contextID", "_usage", b"_usage", "contextID", b"contextID", "outputs", b"outputs", "usage", b"usage"]) -> None: ... + @typing.overload def WhichOneof(self, oneof_group: typing.Literal["_contextID", b"_contextID"]) -> typing.Literal["contextID"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_usage", b"_usage"]) -> typing.Literal["usage"] | None: ... global___ConversationResponse = ConversationResponse + +@typing.final +class ConversationStreamResponse(google.protobuf.message.Message): + """ConversationStreamResponse is the streaming response for Conversation.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CHUNK_FIELD_NUMBER: builtins.int + COMPLETE_FIELD_NUMBER: builtins.int + @property + def chunk(self) -> global___ConversationStreamChunk: ... + @property + def complete(self) -> global___ConversationStreamComplete: ... + def __init__( + self, + *, + chunk: global___ConversationStreamChunk | None = ..., + complete: global___ConversationStreamComplete | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["chunk", b"chunk", "complete", b"complete", "response_type", b"response_type"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["chunk", b"chunk", "complete", b"complete", "response_type", b"response_type"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["response_type", b"response_type"]) -> typing.Literal["chunk", "complete"] | None: ... + +global___ConversationStreamResponse = ConversationStreamResponse + +@typing.final +class ConversationStreamChunk(google.protobuf.message.Message): + """ConversationStreamChunk represents a streaming content chunk.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + FINISH_REASON_FIELD_NUMBER: builtins.int + PARTS_FIELD_NUMBER: builtins.int + CHUNK_INDEX_FIELD_NUMBER: builtins.int + IS_DELTA_FIELD_NUMBER: builtins.int + finish_reason: builtins.str + """Reason why streaming stopped for this chunk (e.g., "stop", "tool_calls")""" + chunk_index: builtins.int + """Chunk metadata""" + is_delta: builtins.bool + """True if incremental""" + @property + def parts(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ContentPart]: + """Content parts in streaming""" + + def __init__( + self, + *, + finish_reason: builtins.str | None = ..., + parts: collections.abc.Iterable[global___ContentPart] | None = ..., + chunk_index: builtins.int | None = ..., + is_delta: builtins.bool | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_chunk_index", b"_chunk_index", "_finish_reason", b"_finish_reason", "_is_delta", b"_is_delta", "chunk_index", b"chunk_index", "finish_reason", b"finish_reason", "is_delta", b"is_delta"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_chunk_index", b"_chunk_index", "_finish_reason", b"_finish_reason", "_is_delta", b"_is_delta", "chunk_index", b"chunk_index", "finish_reason", b"finish_reason", "is_delta", b"is_delta", "parts", b"parts"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_chunk_index", b"_chunk_index"]) -> typing.Literal["chunk_index"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_finish_reason", b"_finish_reason"]) -> typing.Literal["finish_reason"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_is_delta", b"_is_delta"]) -> typing.Literal["is_delta"] | None: ... + +global___ConversationStreamChunk = ConversationStreamChunk + +@typing.final +class ConversationStreamComplete(google.protobuf.message.Message): + """ConversationStreamComplete indicates the streaming conversation has completed.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONTEXTID_FIELD_NUMBER: builtins.int + USAGE_FIELD_NUMBER: builtins.int + OUTPUTS_FIELD_NUMBER: builtins.int + contextID: builtins.str + """Final context ID""" + @property + def usage(self) -> global___ConversationUsage: + """Usage statistics if available""" + + @property + def outputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationResult]: + """Outputs accumulated outputs/tool calls from the streaming""" + + def __init__( + self, + *, + contextID: builtins.str | None = ..., + usage: global___ConversationUsage | None = ..., + outputs: collections.abc.Iterable[global___ConversationResult] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_contextID", b"_contextID", "_usage", b"_usage", "contextID", b"contextID", "usage", b"usage"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_contextID", b"_contextID", "_usage", b"_usage", "contextID", b"contextID", "outputs", b"outputs", "usage", b"usage"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_contextID", b"_contextID"]) -> typing.Literal["contextID"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_usage", b"_usage"]) -> typing.Literal["usage"] | None: ... + +global___ConversationStreamComplete = ConversationStreamComplete + +@typing.final +class ConversationUsage(google.protobuf.message.Message): + """ConversationUsage represents token usage statistics.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + PROMPT_TOKENS_FIELD_NUMBER: builtins.int + COMPLETION_TOKENS_FIELD_NUMBER: builtins.int + TOTAL_TOKENS_FIELD_NUMBER: builtins.int + prompt_tokens: builtins.int + """Number of tokens in the prompt""" + completion_tokens: builtins.int + """Number of tokens in the completion""" + total_tokens: builtins.int + """Total number of tokens used""" + def __init__( + self, + *, + prompt_tokens: builtins.int | None = ..., + completion_tokens: builtins.int | None = ..., + total_tokens: builtins.int | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_completion_tokens", b"_completion_tokens", "_prompt_tokens", b"_prompt_tokens", "_total_tokens", b"_total_tokens", "completion_tokens", b"completion_tokens", "prompt_tokens", b"prompt_tokens", "total_tokens", b"total_tokens"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_completion_tokens", b"_completion_tokens", "_prompt_tokens", b"_prompt_tokens", "_total_tokens", b"_total_tokens", "completion_tokens", b"completion_tokens", "prompt_tokens", b"prompt_tokens", "total_tokens", b"total_tokens"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_completion_tokens", b"_completion_tokens"]) -> typing.Literal["completion_tokens"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_prompt_tokens", b"_prompt_tokens"]) -> typing.Literal["prompt_tokens"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_total_tokens", b"_total_tokens"]) -> typing.Literal["total_tokens"] | None: ... + +global___ConversationUsage = ConversationUsage + +@typing.final +class Tool(google.protobuf.message.Message): + """Tool represents a function that can be called by the LLM (used on the request to the LLM)""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TYPE_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + DESCRIPTION_FIELD_NUMBER: builtins.int + PARAMETERS_FIELD_NUMBER: builtins.int + type: builtins.str + """The type of tool (e.g., "function", "web_search", etc.)""" + name: builtins.str + """The name of the function""" + description: builtins.str + """Description of what the function does""" + parameters: builtins.str + """JSON schema for the function parameters as a string""" + def __init__( + self, + *, + type: builtins.str = ..., + name: builtins.str = ..., + description: builtins.str = ..., + parameters: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["description", b"description", "name", b"name", "parameters", b"parameters", "type", b"type"]) -> None: ... + +global___Tool = Tool + +@typing.final +class ToolCall(google.protobuf.message.Message): + """ToolCall represents a function call requested by the LLM (used on the response from the LLM)""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + ARGUMENTS_FIELD_NUMBER: builtins.int + id: builtins.str + """Unique identifier for this tool call""" + type: builtins.str + """The type of tool call (e.g., "function")""" + name: builtins.str + """Name of the function to call""" + arguments: builtins.str + """Function arguments as a JSON string""" + def __init__( + self, + *, + id: builtins.str = ..., + type: builtins.str = ..., + name: builtins.str = ..., + arguments: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["arguments", b"arguments", "id", b"id", "name", b"name", "type", b"type"]) -> None: ... + +global___ToolCall = ToolCall diff --git a/dapr/proto/runtime/v1/dapr_pb2_grpc.py b/dapr/proto/runtime/v1/dapr_pb2_grpc.py index d371896b5..61c8ab754 100644 --- a/dapr/proto/runtime/v1/dapr_pb2_grpc.py +++ b/dapr/proto/runtime/v1/dapr_pb2_grpc.py @@ -312,6 +312,11 @@ def __init__(self, channel): request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.SerializeToString, response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.FromString, ) + self.ConverseStreamAlpha1 = channel.unary_stream( + '/dapr.proto.runtime.v1.Dapr/ConverseStreamAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationStreamResponse.FromString, + ) class DaprServicer(object): @@ -733,6 +738,13 @@ def ConverseAlpha1(self, request, context): context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') + def ConverseStreamAlpha1(self, request, context): + """Converse with a LLM service using streaming + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + def add_DaprServicer_to_server(servicer, server): rpc_method_handlers = { @@ -1031,6 +1043,11 @@ def add_DaprServicer_to_server(servicer, server): request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.FromString, response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.SerializeToString, ), + 'ConverseStreamAlpha1': grpc.unary_stream_rpc_method_handler( + servicer.ConverseStreamAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationStreamResponse.SerializeToString, + ), } generic_handler = grpc.method_handlers_generic_handler( 'dapr.proto.runtime.v1.Dapr', rpc_method_handlers) @@ -2044,3 +2061,20 @@ def ConverseAlpha1(request, dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ConverseStreamAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_stream(request, target, '/dapr.proto.runtime.v1.Dapr/ConverseStreamAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationStreamResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) diff --git a/dev-requirements.txt b/dev-requirements.txt index cec56fb2a..ad71106b2 100644 --- a/dev-requirements.txt +++ b/dev-requirements.txt @@ -16,3 +16,5 @@ Flask>=1.1 ruff===0.2.2 # needed for dapr-ext-workflow durabletask-dapr >= 0.2.0a7 +# needed for .env file loading in examples +python-dotenv>=1.0.0 diff --git a/examples/README.md b/examples/README.md index c5f6604d7..8f5c674b0 100644 --- a/examples/README.md +++ b/examples/README.md @@ -16,6 +16,7 @@ These examples demonstrate how to use the Dapr Python SDK: | [Distributed lock](./distributed_lock) | Keep your application safe from race conditions by using distributed locks | [Workflow](./demo_workflow) | Run a workflow to simulate an order processor | [Cryptography](./crypto) | Perform cryptographic operations without exposing keys to your application +| [Conversation](./conversation) | Interact with AI/LLM models using streaming and non-streaming responses, tool calling, and multi-turn conversations ## More information diff --git a/examples/conversation/.env.example b/examples/conversation/.env.example new file mode 100644 index 000000000..d30d45141 --- /dev/null +++ b/examples/conversation/.env.example @@ -0,0 +1,23 @@ +# LLM Provider API Keys +# Add your API keys for the providers you want to test + +# OpenAI +OPENAI_API_KEY=your_openai_api_key_here + +# Anthropic +ANTHROPIC_API_KEY=your_anthropic_api_key_here + +# Mistral AI +MISTRAL_API_KEY=your_mistral_api_key_here + +# DeepSeek +DEEPSEEK_API_KEY=your_deepseek_api_key_here + +# Google AI (Gemini) +GOOGLE_API_KEY=your_google_api_key_here + +# Optional: Default component to use if not specified +DAPR_LLM_COMPONENT_DEFAULT=openai + +# Development mode (set to 'true' to use local dev Dapr build) +USE_LOCAL_DEV=false diff --git a/examples/conversation/README.md b/examples/conversation/README.md index c793dd4b5..0beb27041 100644 --- a/examples/conversation/README.md +++ b/examples/conversation/README.md @@ -1,34 +1,307 @@ -# Example - Conversation API +# Conversation API Examples -## Step +This directory contains examples demonstrating the Dapr Conversation API functionality in the Python SDK. -### Prepare +## Overview -- Dapr installed +This directory contains **10 focused examples** demonstrating the Dapr Conversation API functionality, including **tool calling (function calling)**, **streaming responses**, **parameter conversion**, and **cost tracking** with real LLM providers. -### Run Conversation Example +## ๐ŸŽฏ What You'll Learn - +- **๐Ÿ”ง Tool Calling**: Complete function calling workflow with real LLMs +- **๐Ÿ“ก Streaming Conversations**: Real-time response streaming from LLMs +- **๐Ÿ”„ Multi-Provider Support**: Work with OpenAI, Anthropic, Google, Mistral, and DeepSeek +- **โšก Parameter Conversion**: Use simple Python values instead of complex protobuf objects +- **๐Ÿ’ฐ Cost Tracking**: Monitor token consumption and costs across providers +- **๐ŸŒ Async/Sync Patterns**: Both synchronous and asynchronous implementations +- **๐Ÿ’ฌ Context Management**: Maintain conversation state across exchanges +- **๐Ÿง  Conversation History**: Simplified multi-turn conversation management + +## Prerequisites + +### Standard Dapr Setup + +1. **Dapr Installation**: + ```bash + dapr init + ``` + +2. **Python Dependencies**: + ```bash + pip install -r ../../dev-requirements.txt + ``` + +3. **API Keys** (for real providers): + ```bash + export OPENAI_API_KEY="your-openai-key" + export ANTHROPIC_API_KEY="your-anthropic-key" + export GOOGLE_API_KEY="your-google-key" + ``` + +## Quick Start + +### Start Dapr Sidecar ```bash -dapr run --app-id conversation \ - --log-level debug \ - --resources-path ./config \ - -- python3 conversation.py +# For development/testing with echo component +python ../../tools/run_dapr_dev.py + +# Or standard Dapr sidecar with your components +dapr run --app-id conversation-app \ + --dapr-http-port 3500 \ + --dapr-grpc-port 50001 \ + --resources-path ./components ``` - +### Run Examples + +```bash +# Start with basic conversation +python conversation.py -## Result +# Try the new parameter conversion feature +python parameter_conversion_example.py +# Test with real AI providers +python real_llm_providers_example.py ``` - - '== APP == Result: What's Dapr?' - - '== APP == Result: Give a brief overview.' -``` \ No newline at end of file + +## ๐Ÿ“ Examples Overview + +### ๐Ÿš€ **Getting Started** + +| Example | Description | Use Case | +|---------|-------------|----------| +| `conversation.py` | Basic conversation starter | First steps with Conversation API | +| `parameter_conversion_example.py` | **NEW!** Simple parameter usage | Learn the improved developer experience | + +### ๐Ÿค– **Real AI Providers** + +| Example | Description | Use Case | +|---------|-------------|----------| +| `real_llm_providers_example.py` | Multiple AI providers | Production usage with OpenAI, Anthropic, Google | + +### ๐Ÿ”ง **Tool Calling** + +| Example | Description | Use Case | +|---------|-------------|----------| +| `working_multi_turn_example.py` | Simple tool calling | Learn tool calling basics | +| `multi_turn_tool_calling_example.py` | Advanced multi-tool example | Complex tool calling scenarios | + +### ๐Ÿ“ก **Streaming** + +| Example | Description | Use Case | +|---------|-------------|----------| +| `streaming_comprehensive.py` | Sync streaming | Real-time responses (synchronous) | +| `streaming_async_comprehensive.py` | Async streaming | Real-time responses (asynchronous) | +| `streaming_json_example.py` | JSON streaming format | OpenAI-compatible streaming | + +### ๐Ÿ’ฐ **Advanced Features** + +| Example | Description | Use Case | +|---------|-------------|----------| +| `cost_calculation_example.py` | Cost tracking & provider comparison | Monitor usage and costs | +| `conversation_history_helper.py` | Advanced conversation management | Complex conversation state | + +## ๐ŸŒŸ **Recommended Learning Path** + +### 1. **Start Here** - Basic Concepts +```bash +python conversation.py # Basic conversation +python parameter_conversion_example.py # New parameter conversion +``` + +### 2. **Real AI Providers** +```bash +python real_llm_providers_example.py # Production usage +``` + +### 3. **Tool Calling** +```bash +python working_multi_turn_example.py # Simple tools +python multi_turn_tool_calling_example.py # Advanced tools +``` + +### 4. **Streaming** +```bash +python streaming_comprehensive.py # Sync streaming +python streaming_async_comprehensive.py # Async streaming +``` + +### 5. **Advanced Features** +```bash +python cost_calculation_example.py # Cost tracking +python conversation_history_helper.py # Advanced management +``` + +## ๐Ÿ”ง **Key Features Demonstrated** + +### โšก **Parameter Conversion** (NEW!) +Before our improvement: +```python +# Old way - complex protobuf wrapping +from google.protobuf.any_pb2 import Any as ProtobufAny +from google.protobuf.wrappers_pb2 import StringValue +tool_choice_any = ProtobufAny() +tool_choice_any.Pack(StringValue(value="auto")) +parameters = {"tool_choice": tool_choice_any} +``` + +After our improvement: +```python +# New way - simple Python values +parameters = { + "tool_choice": "auto", # Raw string - auto-converted + "temperature": 0.7, # Raw float - auto-converted + "max_tokens": 1000, # Raw int - auto-converted + "stream": False, # Raw bool - auto-converted +} +``` + +### ๐Ÿ”ง **Tool Calling** +```python +# Define tools +weather_tool = Tool( + type="function", + function=ToolFunction( + name="get_weather", + description="Get weather information", + parameters={...} + ) +) + +# Use with ContentPart approach +inputs = [ConversationInput( + role="user", + parts=[ + ContentPart(text=TextContent(text="What's the weather?")), + ContentPart(tool_definitions=ToolDefinitionsContent(tools=[weather_tool])) + ] +)] +``` + +### ๐Ÿ“ก **Streaming** +```python +# Sync streaming +for chunk in client.converse_stream_alpha1(name="openai", inputs=inputs): + print(chunk.outputs[0].result) + +# Async streaming +async for chunk in client.converse_stream_alpha1(name="openai", inputs=inputs): + print(chunk.outputs[0].result) +``` + +### ๐Ÿ’ฐ **Cost Tracking** +```python +# Automatic cost calculation with provider-specific pricing +usage_info = UsageInfo.calculate_cost( + usage, + cost_per_million_input_tokens=0.15, # GPT-4o-mini input + cost_per_million_output_tokens=0.60, # GPT-4o-mini output + model="gpt-4o-mini", + provider="openai" +) +``` + +## ๐Ÿ—‚๏ธ **Component Configuration** + +### Echo Component (Testing) +```yaml +# components/echo.yaml +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: echo +spec: + type: conversation.echo + version: v1 +``` + +### OpenAI Component +```yaml +# components/openai.yaml +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: openai +spec: + type: conversation.openai + version: v1 + metadata: + - name: apiKey + secretKeyRef: + name: openai-secret + key: api-key +``` + +### Anthropic Component +```yaml +# components/anthropic.yaml +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: anthropic +spec: + type: conversation.anthropic + version: v1 + metadata: + - name: apiKey + secretKeyRef: + name: anthropic-secret + key: api-key +``` + +## ๐Ÿ†˜ **Troubleshooting** + +### Common Issues + +**Port Already in Use** +```bash +# Kill existing Dapr processes +pkill -f daprd +# Or find and kill specific process +lsof -i :50001 +``` + +**Missing API Keys** +```bash +# Set environment variables +export OPENAI_API_KEY="your-key-here" +export ANTHROPIC_API_KEY="your-key-here" +export GOOGLE_API_KEY="your-key-here" +``` + +**Component Not Found** +```bash +# Ensure components are in the correct path +ls -la components/ +# Or specify path explicitly +dapr run --resources-path ./components ... +``` + +## ๐Ÿ“š **Additional Resources** + +- [Dapr Conversation API Documentation](https://docs.dapr.io/developing-applications/building-blocks/conversation/) +- [Dapr Python SDK Documentation](https://docs.dapr.io/developing-applications/sdks/python/) +- [OpenAI API Documentation](https://platform.openai.com/docs/api-reference) +- [Anthropic Claude API Documentation](https://docs.anthropic.com/claude/reference/) + +## ๐ŸŽ‰ **What's New** + +### Recent Improvements + +- โœ… **Parameter Conversion**: No more protobuf complexity - use simple Python values! +- โœ… **Streamlined Examples**: Reduced from 48+ files to 10 focused examples +- โœ… **Fixed Cost Calculations**: Accurate pricing for all providers +- โœ… **Current API Usage**: All examples use modern ContentPart approach +- โœ… **Comprehensive Testing**: All examples tested and working + +### Breaking Changes + +- โŒ **Removed `tools=` parameter**: Use ContentPart with ToolDefinitionsContent instead +- โŒ **Removed obsolete examples**: Consolidated into focused, working examples +- โŒ **Fixed pricing bugs**: Corrected 1000x calculation errors in cost examples + +--- + +**๐Ÿ’ก Tip**: Start with `conversation.py` and `parameter_conversion_example.py` to understand the basics, then explore the other examples based on your specific needs! \ No newline at end of file diff --git a/examples/conversation/components/anthropic.yaml b/examples/conversation/components/anthropic.yaml new file mode 100644 index 000000000..a098425a5 --- /dev/null +++ b/examples/conversation/components/anthropic.yaml @@ -0,0 +1,12 @@ +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: anthropic +spec: + type: conversation.anthropic + version: v1 + metadata: + - name: key + value: ${ANTHROPIC_API_KEY} + - name: model + value: claude-sonnet-4-20250514 diff --git a/examples/conversation/components/deepseek.yaml b/examples/conversation/components/deepseek.yaml new file mode 100644 index 000000000..ab1d465d3 --- /dev/null +++ b/examples/conversation/components/deepseek.yaml @@ -0,0 +1,12 @@ +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: deepseek +spec: + type: conversation.deepseek + version: v1 + metadata: + - name: key + value: ${DEEPSEEK_API_KEY} + - name: model + value: deepseek-chat diff --git a/examples/conversation/components/echo.yaml b/examples/conversation/components/echo.yaml new file mode 100644 index 000000000..c14a5b398 --- /dev/null +++ b/examples/conversation/components/echo.yaml @@ -0,0 +1,12 @@ +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: echo +spec: + type: conversation.echo + version: v1 + metadata: + - name: key + value: testkey + - name: timeout + value: 30s \ No newline at end of file diff --git a/examples/conversation/components/google.yaml b/examples/conversation/components/google.yaml new file mode 100644 index 000000000..b81387d71 --- /dev/null +++ b/examples/conversation/components/google.yaml @@ -0,0 +1,12 @@ +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: google +spec: + type: conversation.googleai + version: v1 + metadata: + - name: key + value: ${GOOGLE_API_KEY} + - name: model + value: gemini-2.5-flash diff --git a/examples/conversation/components/mistral.yaml b/examples/conversation/components/mistral.yaml new file mode 100644 index 000000000..0e037ce66 --- /dev/null +++ b/examples/conversation/components/mistral.yaml @@ -0,0 +1,12 @@ +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: mistral +spec: + type: conversation.mistral + version: v1 + metadata: + - name: key + value: ${MISTRAL_API_KEY} + - name: model + value: mistral-large-latest diff --git a/examples/conversation/components/openai.yaml b/examples/conversation/components/openai.yaml new file mode 100644 index 000000000..edca7c999 --- /dev/null +++ b/examples/conversation/components/openai.yaml @@ -0,0 +1,12 @@ +apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: openai +spec: + type: conversation.openai + version: v1 + metadata: + - name: key + value: ${OPENAI_API_KEY} + - name: model + value: gpt-4o-mini-2024-07-18 diff --git a/examples/conversation/conversation.py b/examples/conversation/conversation.py index 6b39e37c4..590da5fdf 100644 --- a/examples/conversation/conversation.py +++ b/examples/conversation/conversation.py @@ -31,3 +31,17 @@ for output in response.outputs: print(f'Result: {output.result}') + + # Check for usage information + if hasattr(response, 'usage') and response.usage: + prompt_tokens = response.usage.prompt_tokens + completion_tokens = response.usage.completion_tokens + total_tokens = response.usage.total_tokens + usage_parts = [ + f'Usage: {prompt_tokens} prompt', + f'{completion_tokens} completion', + f'{total_tokens} total tokens', + ] + print(' + '.join(usage_parts[:2]) + ' = ' + usage_parts[2]) + else: + print("No usage information available (echo component doesn't provide token counts)") diff --git a/examples/conversation/conversation_history_helper.py b/examples/conversation/conversation_history_helper.py new file mode 100644 index 000000000..a173da1b9 --- /dev/null +++ b/examples/conversation/conversation_history_helper.py @@ -0,0 +1,549 @@ +#!/usr/bin/env python3 + +""" +Simple Conversation History Helper + +A lightweight helper for managing conversation history in multi-turn conversations. +Handles conversation accumulation, tool calling context, basic history management, +and usage tracking without complex summarization logic. + +For more advanced use cases (like intelligent summarization), users can implement +their own custom history management. +""" + +from dataclasses import dataclass, field +from datetime import datetime +from typing import Any, Dict, List, Optional, Union + +from dapr.clients.grpc._request import ContentPart, ConversationInput, TextContent, ToolCallContent +from dapr.clients.grpc._response import ( + ConversationResponse, + ConversationStreamComplete, + ConversationUsage, +) + + +@dataclass +class UsageInfo: + """Represents usage information for a conversation turn.""" + prompt_tokens: int = 0 + completion_tokens: int = 0 + total_tokens: int = 0 + cost: float = 0.0 # Total cost (can be calculated or provided directly) + input_cost: float = 0.0 # Cost for input/prompt tokens + output_cost: float = 0.0 # Cost for output/completion tokens + model: Optional[str] = None + provider: Optional[str] = None + timestamp: datetime = field(default_factory=datetime.now) + + @classmethod + def from_dapr_usage(cls, dapr_usage: ConversationUsage, model: Optional[str] = None, provider: Optional[str] = None, cost: float = 0.0, input_cost: float = 0.0, output_cost: float = 0.0) -> 'UsageInfo': + """Create UsageInfo from Dapr ConversationUsage object.""" + return cls( + prompt_tokens=dapr_usage.prompt_tokens, + completion_tokens=dapr_usage.completion_tokens, + total_tokens=dapr_usage.total_tokens, + cost=cost, + input_cost=input_cost, + output_cost=output_cost, + model=model, + provider=provider + ) + + @classmethod + def from_response(cls, response: Union[ConversationResponse, ConversationStreamComplete], model: Optional[str] = None, provider: Optional[str] = None, cost: float = 0.0, input_cost: float = 0.0, output_cost: float = 0.0) -> Optional['UsageInfo']: + """Create UsageInfo from Dapr response object if usage is available.""" + if hasattr(response, 'usage') and response.usage: + return cls.from_dapr_usage(response.usage, model, provider, cost, input_cost, output_cost) + return None + + @classmethod + def calculate_cost( + cls, + dapr_usage: ConversationUsage, + cost_per_million_input_tokens: float, + cost_per_million_output_tokens: float, + model: Optional[str] = None, + provider: Optional[str] = None + ) -> 'UsageInfo': + """ + Create UsageInfo with calculated costs based on token usage and pricing. + + Args: + dapr_usage: Usage information from Dapr response + cost_per_million_input_tokens: Cost per million input/prompt tokens + cost_per_million_output_tokens: Cost per million output/completion tokens + model: Model name + provider: Provider name + + Returns: + UsageInfo with calculated costs + """ + input_cost = (dapr_usage.prompt_tokens / 1_000_000) * cost_per_million_input_tokens + output_cost = (dapr_usage.completion_tokens / 1_000_000) * cost_per_million_output_tokens + total_cost = input_cost + output_cost + + return cls( + prompt_tokens=dapr_usage.prompt_tokens, + completion_tokens=dapr_usage.completion_tokens, + total_tokens=dapr_usage.total_tokens, + cost=total_cost, + input_cost=input_cost, + output_cost=output_cost, + model=model, + provider=provider + ) + + @classmethod + def from_response_with_pricing( + cls, + response: Union[ConversationResponse, ConversationStreamComplete], + cost_per_million_input_tokens: float, + cost_per_million_output_tokens: float, + model: Optional[str] = None, + provider: Optional[str] = None + ) -> Optional['UsageInfo']: + """ + Create UsageInfo from Dapr response with automatic cost calculation. + + Args: + response: Dapr response object + cost_per_million_input_tokens: Cost per million input/prompt tokens + cost_per_million_output_tokens: Cost per million output/completion tokens + model: Model name + provider: Provider name + + Returns: + UsageInfo with calculated costs, or None if no usage info available + """ + if hasattr(response, 'usage') and response.usage: + return cls.calculate_cost( + response.usage, + cost_per_million_input_tokens, + cost_per_million_output_tokens, + model, + provider + ) + return None + + def to_dict(self) -> Dict[str, Any]: + """Convert to dictionary for serialization.""" + return { + 'prompt_tokens': self.prompt_tokens, + 'completion_tokens': self.completion_tokens, + 'total_tokens': self.total_tokens, + 'cost': self.cost, + 'input_cost': self.input_cost, + 'output_cost': self.output_cost, + 'model': self.model, + 'provider': self.provider, + 'timestamp': self.timestamp.isoformat() + } + + +@dataclass +class ConversationTurn: + """Represents a complete conversation turn (user + assistant + tools).""" + user_message: str + assistant_message: Optional[str] = None + tools: Optional[List[Any]] = None + tool_calls: Optional[List[Any]] = None + tool_results: Optional[List[Any]] = None + usage: Optional[UsageInfo] = None + timestamp: datetime = field(default_factory=datetime.now) + + def to_dict(self) -> Dict[str, Any]: + """Convert to dictionary for serialization.""" + return { + 'user_message': self.user_message, + 'assistant_message': self.assistant_message, + 'tools': [str(tool) for tool in (self.tools or [])], + 'tool_calls': [str(call) for call in (self.tool_calls or [])], + 'tool_results': [str(result) for result in (self.tool_results or [])], + 'usage': self.usage.to_dict() if self.usage else None, + 'timestamp': self.timestamp.isoformat() + } + + +class ConversationHistoryManager: + """ + Simple conversation history manager for multi-turn conversations. + + Features: + - Automatic conversation accumulation for multi-turn contexts + - Tool calling context preservation + - Simple history trimming based on complete conversation turns + - Built-in usage tracking and cost monitoring + - Provider-specific optimizations + """ + + def __init__( + self, + max_turns: int = 10, + provider_name: str = "openai", + track_usage: bool = True + ): + """ + Initialize conversation history manager. + + Args: + max_turns: Maximum number of complete conversation turns to keep + provider_name: Name of the LLM provider for optimization + track_usage: Whether to track usage information + """ + self.max_turns = max_turns + self.provider_name = provider_name.lower() + self.track_usage = track_usage + + # Conversation state + self.turns: List[ConversationTurn] = [] + self.current_turn: Optional[ConversationTurn] = None + + # Usage tracking + self.total_usage = UsageInfo() if track_usage else None + + def add_user_message( + self, + content: str, + tools: Optional[List[Any]] = None, + usage: Optional[Union[UsageInfo, ConversationUsage, ConversationResponse, ConversationStreamComplete]] = None + ) -> None: + """ + Add a user message to start a new conversation turn. + + Args: + content: The user's message content + tools: Optional list of tools available for this turn + usage: Optional usage information (can be UsageInfo, ConversationUsage, or response objects) + """ + # Finalize previous turn if exists + if self.current_turn and self.current_turn.assistant_message: + self.turns.append(self.current_turn) + self._trim_history() + + # Extract usage if provided + extracted_usage = self._extract_usage(usage) + + # Start new turn + self.current_turn = ConversationTurn( + user_message=content, + tools=tools, + usage=extracted_usage + ) + + # Update total usage + if extracted_usage and self.track_usage: + self._add_to_total_usage(extracted_usage) + + def add_assistant_message(self, response: ConversationResponse) -> None: + """ + Adds an assistant's response to the current conversation turn using a + ConversationResponse object as the single source of truth. + + Args: + response: The ConversationResponse object from the Dapr client or + a manually constructed one for testing. + """ + if not self.current_turn: + raise ValueError("No active conversation turn. Call add_user_message first.") + + # Extract content and tool calls from the response + all_text = [out.get_text() for out in response.outputs if out.get_text()] + content = "\n".join(all_text) if all_text else None + + all_tool_calls = [] + for out in response.outputs: + all_tool_calls.extend(out.get_tool_calls()) + tool_calls = all_tool_calls or None + + # Extract usage from the provided source + extracted_usage = self._extract_usage(response) + + self.current_turn.assistant_message = content + self.current_turn.tool_calls = tool_calls + + # Merge usage information + if extracted_usage and self.track_usage: + if self.current_turn.usage: + # Combine with existing usage + self.current_turn.usage.prompt_tokens += extracted_usage.prompt_tokens + self.current_turn.usage.completion_tokens += extracted_usage.completion_tokens + self.current_turn.usage.total_tokens += extracted_usage.total_tokens + self.current_turn.usage.cost += extracted_usage.cost + self.current_turn.usage.input_cost += extracted_usage.input_cost + self.current_turn.usage.output_cost += extracted_usage.output_cost + else: + self.current_turn.usage = extracted_usage + + self._add_to_total_usage(extracted_usage) + + def add_tool_results( + self, + results: List[Any], + usage: Optional[Union[UsageInfo, ConversationUsage, ConversationResponse, ConversationStreamComplete]] = None + ) -> None: + """ + Add tool execution results to the current conversation turn. + + Args: + results: List of tool execution results + usage: Optional usage information for tool processing + """ + if not self.current_turn: + raise ValueError("No active conversation turn. Call add_user_message first.") + + # Extract usage if provided + extracted_usage = self._extract_usage(usage) + + self.current_turn.tool_results = results + + # Update usage if provided + if extracted_usage and self.track_usage: + if self.current_turn.usage: + self.current_turn.usage.prompt_tokens += extracted_usage.prompt_tokens + self.current_turn.usage.completion_tokens += extracted_usage.completion_tokens + self.current_turn.usage.total_tokens += extracted_usage.total_tokens + self.current_turn.usage.cost += extracted_usage.cost + self.current_turn.usage.input_cost += extracted_usage.input_cost + self.current_turn.usage.output_cost += extracted_usage.output_cost + else: + self.current_turn.usage = extracted_usage + + self._add_to_total_usage(extracted_usage) + + def _extract_usage(self, usage: Optional[Union[UsageInfo, ConversationUsage, ConversationResponse, ConversationStreamComplete]]) -> Optional[UsageInfo]: + """Extract UsageInfo from various input types.""" + if not usage or not self.track_usage: + return None + + if isinstance(usage, UsageInfo): + return usage + elif isinstance(usage, ConversationUsage): + return UsageInfo.from_dapr_usage(usage, provider=self.provider_name) + elif isinstance(usage, (ConversationResponse, ConversationStreamComplete)): + return UsageInfo.from_response(usage, provider=self.provider_name) + else: + # Try to extract usage from response-like object + if hasattr(usage, 'usage') and usage.usage: + return UsageInfo.from_dapr_usage(usage.usage, provider=self.provider_name) + + return None + + def _add_to_total_usage(self, usage: UsageInfo) -> None: + """Add usage to running totals.""" + if not self.total_usage: + return + + self.total_usage.prompt_tokens += usage.prompt_tokens + self.total_usage.completion_tokens += usage.completion_tokens + self.total_usage.total_tokens += usage.total_tokens + self.total_usage.cost += usage.cost + self.total_usage.input_cost += usage.input_cost + self.total_usage.output_cost += usage.output_cost + + def get_conversation_inputs(self) -> List[ConversationInput]: + """ + Get conversation inputs for the Dapr API. + + For multi-turn conversations, this returns accumulated conversation history. + For single-turn conversations, returns just the current input. + + Returns: + List of ConversationInput objects ready for Dapr API + """ + inputs = [] + + # Add completed turns + for turn in self.turns: + # Add user message + user_parts = [ContentPart(text=TextContent(text=turn.user_message))] + # NOTE: Tools are now passed at request level, not as content parts + + inputs.append(ConversationInput( + role="user", + parts=user_parts + )) + + # Add assistant message if available + if turn.assistant_message: + assistant_parts = [ContentPart(text=TextContent(text=turn.assistant_message))] + + # Add tool calls if any + if turn.tool_calls: + for tool_call in turn.tool_calls: + # Create ToolCallContent using flat structure + tool_call_content = ToolCallContent( + id=tool_call.id, + type='function', + name=tool_call.name, + arguments=tool_call.arguments + ) + assistant_parts.append(ContentPart(tool_call=tool_call_content)) + + inputs.append(ConversationInput( + role="assistant", + parts=assistant_parts + )) + + # Add tool results if any + if turn.tool_results: + for result in turn.tool_results: + tool_result = ToolResultContent( + tool_call_id=tool_call.id, + name=tool_call.name, + content=result + ) + inputs.append(ConversationInput( + role="tool", + parts=[ContentPart(tool_result=tool_result)] + )) + + # Add current turn if it exists + if self.current_turn: + user_parts = [ContentPart(text=TextContent(text=self.current_turn.user_message))] + # NOTE: Tools are now passed at request level, not as content parts + + inputs.append(ConversationInput( + role="user", + parts=user_parts + )) + + return inputs + + def get_usage_summary(self) -> Dict[str, Any]: + """ + Get comprehensive usage summary. + + Returns: + Dictionary containing usage statistics and breakdown + """ + if not self.track_usage or not self.total_usage: + return {'usage_tracking_enabled': False} + + # Calculate per-turn breakdown + turn_breakdown = [] + for i, turn in enumerate(self.turns): + if turn.usage: + turn_breakdown.append({ + 'turn': i + 1, + 'tokens': turn.usage.total_tokens, + 'prompt_tokens': turn.usage.prompt_tokens, + 'completion_tokens': turn.usage.completion_tokens, + 'cost': turn.usage.cost, + 'input_cost': turn.usage.input_cost, + 'output_cost': turn.usage.output_cost, + 'tool_calls': len(turn.tool_calls) if turn.tool_calls else 0, + 'timestamp': turn.usage.timestamp.isoformat() + }) + + # Add current turn if it has usage + if self.current_turn and self.current_turn.usage: + turn_breakdown.append({ + 'turn': len(self.turns) + 1, + 'tokens': self.current_turn.usage.total_tokens, + 'prompt_tokens': self.current_turn.usage.prompt_tokens, + 'completion_tokens': self.current_turn.usage.completion_tokens, + 'cost': self.current_turn.usage.cost, + 'input_cost': self.current_turn.usage.input_cost, + 'output_cost': self.current_turn.usage.output_cost, + 'tool_calls': len(self.current_turn.tool_calls) if self.current_turn.tool_calls else 0, + 'timestamp': self.current_turn.usage.timestamp.isoformat() + }) + + # Calculate statistics + total_turns = len(self.turns) + (1 if self.current_turn else 0) + avg_cost_per_turn = self.total_usage.cost / total_turns if total_turns > 0 else 0 + avg_tokens_per_turn = self.total_usage.total_tokens / total_turns if total_turns > 0 else 0 + + return { + 'usage_tracking_enabled': True, + 'summary': { + 'total_cost': self.total_usage.cost, + 'input_cost': self.total_usage.input_cost, + 'output_cost': self.total_usage.output_cost, + 'total_tokens': self.total_usage.total_tokens, + 'prompt_tokens': self.total_usage.prompt_tokens, + 'completion_tokens': self.total_usage.completion_tokens, + 'avg_cost_per_turn': avg_cost_per_turn, + 'avg_tokens_per_turn': avg_tokens_per_turn + }, + 'breakdown': turn_breakdown, + 'conversation_stats': { + 'total_turns': total_turns, + 'complete_turns': len(self.turns), + 'total_messages': len(self.get_conversation_inputs()), + 'tool_calls': sum(len(turn.tool_calls) if turn.tool_calls else 0 for turn in self.turns), + 'provider': self.provider_name + } + } + + def _trim_history(self) -> None: + """Trim conversation history to stay within max_turns limit.""" + if len(self.turns) > self.max_turns: + # Remove oldest turns while preserving usage information + self.turns = self.turns[-self.max_turns:] + + # Usage information is preserved in total_usage, so no action needed + + def reset(self) -> None: + """Reset conversation history and usage tracking.""" + self.turns.clear() + self.current_turn = None + if self.track_usage: + self.total_usage = UsageInfo() + + +# Provider-specific factory functions +def create_history_manager(provider_name: str, **kwargs) -> ConversationHistoryManager: + """ + Create a conversation history manager optimized for a specific provider. + + Args: + provider_name: Name of the LLM provider ("openai", "anthropic", "google", etc.) + **kwargs: Additional arguments passed to ConversationHistoryManager + + Returns: + ConversationHistoryManager instance with provider-specific defaults + """ + provider_defaults = { + "openai": {"max_turns": 20}, + "anthropic": {"max_turns": 15}, + "google": {"max_turns": 18}, + "mistral": {"max_turns": 16}, + "deepseek": {"max_turns": 16}, + } + + # Apply provider-specific defaults + defaults = provider_defaults.get(provider_name.lower(), {"max_turns": 15}) + + # User-provided kwargs override defaults + config = {**defaults, **kwargs} + config["provider_name"] = provider_name + + return ConversationHistoryManager(**config) + + +if __name__ == "__main__": + # Simple test + manager = create_history_manager("openai") + + # Simulate a conversation with usage tracking + manager.add_user_message("Hello!", usage=UsageInfo(prompt_tokens=5, total_tokens=5)) + # Note: We create a dummy ConversationResponse for the test + from dapr.clients.grpc._response import ( + ContentPart, + ConversationOutput, + ConversationResponse, + TextContent, + ) + dummy_response = ConversationResponse( + outputs=[ConversationOutput(parts=[ContentPart(text=TextContent(text="Hi there!"))])], + usage=UsageInfo(completion_tokens=10, total_tokens=10) + ) + manager.add_assistant_message(dummy_response) + + print("Usage Summary:") + summary = manager.get_usage_summary() + print(f"Total tokens: {summary['summary']['total_tokens']}") + print(f"Total cost: ${summary['summary']['total_cost']:.6f}") + print(f"Turns: {summary['conversation_stats']['total_turns']}") diff --git a/examples/conversation/cost_calculation_example.py b/examples/conversation/cost_calculation_example.py new file mode 100644 index 000000000..7378901c7 --- /dev/null +++ b/examples/conversation/cost_calculation_example.py @@ -0,0 +1,271 @@ +#!/usr/bin/env python3 + +""" +Cost Calculation Example + +Demonstrates how to use the conversation history helper with proper cost calculation +based on separate input and output token pricing for different LLM providers. + +This example shows: +1. Provider-specific pricing configurations +2. Automatic cost calculation from API responses +3. Manual cost calculation with custom pricing +4. Detailed cost breakdown and analysis +""" + +from typing import Dict + +from examples.conversation.conversation_history_helper import UsageInfo, create_history_manager + +# Provider pricing configurations (cost per million tokens) +PROVIDER_PRICING = { + "openai": { + "gpt-4o": { + "input": 2.50, # $2.50 per million input tokens + "output": 10.00 # $10.00 per million output tokens + }, + "gpt-4o-mini": { + "input": 0.15, # $0.15 per million input tokens + "output": 0.60 # $0.60 per million output tokens + }, + "gpt-3.5-turbo": { + "input": 0.50, # $0.50 per million input tokens + "output": 1.50 # $1.50 per million output tokens + } + }, + "anthropic": { + "claude-3-5-sonnet-20241022": { + "input": 3.00, # $3.00 per million input tokens + "output": 15.00 # $15.00 per million output tokens + }, + "claude-3-5-haiku-20241022": { + "input": 0.80, # $0.80 per million input tokens + "output": 4.00 # $4.00 per million output tokens + } + }, + "google": { + "gemini-2.0-flash-exp": { + "input": 0.075, # $0.075 per million input tokens + "output": 0.30 # $0.30 per million output tokens + }, + "gemini-1.5-pro": { + "input": 1.25, # $1.25 per million input tokens + "output": 5.00 # $5.00 per million output tokens + } + } +} + + +def get_pricing(provider: str, model: str) -> Dict[str, float]: + """Get pricing for a specific provider and model.""" + provider_config = PROVIDER_PRICING.get(provider.lower(), {}) + model_config = provider_config.get(model, {}) + + if not model_config: + print(f"Warning: No pricing found for {provider}/{model}, using default rates") + return {"input": 1.0, "output": 3.0} # Default fallback pricing + + return model_config + + +def simulate_dapr_usage(prompt_tokens: int, completion_tokens: int): + """Simulate a Dapr ConversationUsage object.""" + class MockUsage: + def __init__(self, prompt_tokens: int, completion_tokens: int): + self.prompt_tokens = prompt_tokens + self.completion_tokens = completion_tokens + self.total_tokens = prompt_tokens + completion_tokens + + return MockUsage(prompt_tokens, completion_tokens) + + +def demonstrate_cost_calculation(): + """Demonstrate different ways to calculate and track costs.""" + + print("๐Ÿงฎ LLM Cost Calculation Examples") + print("=" * 50) + + # Example 1: Manual cost calculation + print("\n1๏ธโƒฃ Manual Cost Calculation") + print("-" * 30) + + # Simulate usage data + usage = simulate_dapr_usage(prompt_tokens=1500, completion_tokens=800) + pricing = get_pricing("openai", "gpt-4o") + + # Calculate costs manually + cost_info = UsageInfo.calculate_cost( + usage, + cost_per_million_input_tokens=pricing["input"], + cost_per_million_output_tokens=pricing["output"], + model="gpt-4o", + provider="openai" + ) + + print(f"Model: {cost_info.model}") + print(f"Provider: {cost_info.provider}") + print(f"Input tokens: {cost_info.prompt_tokens:,}") + print(f"Output tokens: {cost_info.completion_tokens:,}") + print(f"Total tokens: {cost_info.total_tokens:,}") + print(f"Input cost: ${cost_info.input_cost:.6f}") + print(f"Output cost: ${cost_info.output_cost:.6f}") + print(f"Total cost: ${cost_info.cost:.6f}") + + # Example 2: Using conversation history manager + print("\n2๏ธโƒฃ Conversation History with Cost Tracking") + print("-" * 45) + + manager = create_history_manager("openai", max_turns=5) + + # Turn 1: Simple question + usage1 = simulate_dapr_usage(prompt_tokens=1200, completion_tokens=600) + pricing1 = get_pricing("openai", "gpt-4o-mini") + cost1 = UsageInfo.calculate_cost( + usage1, pricing1["input"], pricing1["output"], + model="gpt-4o-mini", provider="openai" + ) + + manager.add_user_message("What is machine learning?", usage=cost1) + manager.add_assistant_message( + "Machine learning is a subset of artificial intelligence...", + usage=cost1 + ) + + # Turn 2: Follow-up with tool calling + usage2 = simulate_dapr_usage(prompt_tokens=1800, completion_tokens=400) + cost2 = UsageInfo.calculate_cost( + usage2, pricing1["input"], pricing1["output"], + model="gpt-4o-mini", provider="openai" + ) + + manager.add_user_message("Can you give me examples?", usage=cost2) + manager.add_assistant_message( + "I'll search for some examples for you.", + tool_calls=[{"id": "call_1", "name": "search_examples", "arguments": "{}"}], + usage=cost2 + ) + + # Turn 3: More expensive model for complex reasoning + usage3 = simulate_dapr_usage(prompt_tokens=2500, completion_tokens=1200) + pricing3 = get_pricing("openai", "gpt-4o") + cost3 = UsageInfo.calculate_cost( + usage3, pricing3["input"], pricing3["output"], + model="gpt-4o", provider="openai" + ) + + manager.add_user_message("Explain deep learning architectures in detail", usage=cost3) + manager.add_assistant_message( + "Deep learning architectures involve multiple layers of neural networks...", + usage=cost3 + ) + + # Get detailed usage summary + summary = manager.get_usage_summary() + + print(f"Total conversation cost: ${summary['summary']['total_cost']:.6f}") + print(f"Input costs: ${summary['summary']['input_cost']:.6f}") + print(f"Output costs: ${summary['summary']['output_cost']:.6f}") + print(f"Total tokens: {summary['summary']['total_tokens']:,}") + print(f"Average cost per turn: ${summary['summary']['avg_cost_per_turn']:.6f}") + + print("\n๐Ÿ“Š Per-Turn Breakdown:") + for turn in summary['breakdown']: + print(f" Turn {turn['turn']}: ${turn['cost']:.6f} " + f"(${turn['input_cost']:.6f} input + ${turn['output_cost']:.6f} output) " + f"- {turn['tokens']:,} tokens") + + # Example 3: Compare costs across providers + print("\n3๏ธโƒฃ Provider Cost Comparison") + print("-" * 35) + + # Same usage across different providers + test_usage = simulate_dapr_usage(prompt_tokens=2000, completion_tokens=1000) + + providers_to_test = [ + ("openai", "gpt-4o"), + ("openai", "gpt-4o-mini"), + ("anthropic", "claude-3-5-sonnet-20241022"), + ("anthropic", "claude-3-5-haiku-20241022"), + ("google", "gemini-2.0-flash-exp"), + ("google", "gemini-1.5-pro") + ] + + print(f"For {test_usage.prompt_tokens:,} input + {test_usage.completion_tokens:,} output tokens:") + print() + + costs = [] + for provider, model in providers_to_test: + pricing = get_pricing(provider, model) + cost_info = UsageInfo.calculate_cost( + test_usage, pricing["input"], pricing["output"], + model=model, provider=provider + ) + costs.append((provider, model, cost_info)) + + print(f"{provider:10} {model:25} ${cost_info.cost:.6f} " + f"(${cost_info.input_cost:.6f} + ${cost_info.output_cost:.6f})") + + # Find cheapest and most expensive + costs.sort(key=lambda x: x[2].cost) + cheapest = costs[0] + most_expensive = costs[-1] + + print(f"\n๐Ÿ’ฐ Cheapest: {cheapest[0]} {cheapest[1]} - ${cheapest[2].cost:.6f}") + print(f"๐Ÿ’ธ Most expensive: {most_expensive[0]} {most_expensive[1]} - ${most_expensive[2].cost:.6f}") + print(f"๐Ÿ“ˆ Cost difference: {most_expensive[2].cost / cheapest[2].cost:.1f}x") + + +def demonstrate_real_api_integration(): + """Show how to integrate with real API responses.""" + + print("\n4๏ธโƒฃ Real API Integration Example") + print("-" * 40) + + # Simulate a real API response structure + class MockResponse: + def __init__(self, prompt_tokens: int, completion_tokens: int): + self.usage = simulate_dapr_usage(prompt_tokens, completion_tokens) + + # Example: Processing a real API response + response = MockResponse(prompt_tokens=1500, completion_tokens=800) + + # Method 1: Automatic cost calculation from response + pricing = get_pricing("anthropic", "claude-3-5-sonnet-20241022") + cost_info = UsageInfo.from_response_with_pricing( + response, + cost_per_million_input_tokens=pricing["input"], + cost_per_million_output_tokens=pricing["output"], + model="claude-3-5-sonnet-20241022", + provider="anthropic" + ) + + if cost_info: + print("โœ… Automatic cost calculation from API response:") + print(f" Cost: ${cost_info.cost:.6f} (${cost_info.input_cost:.6f} + ${cost_info.output_cost:.6f})") + print(f" Tokens: {cost_info.total_tokens:,} ({cost_info.prompt_tokens:,} + {cost_info.completion_tokens:,})") + + # Method 2: Using with conversation manager + manager = create_history_manager("anthropic") + + # Add message with automatic cost calculation + manager.add_user_message("Analyze this data", usage=cost_info) + manager.add_assistant_message("Here's my analysis...", usage=cost_info) + + summary = manager.get_usage_summary() + print("\n๐Ÿ“Š Conversation summary:") + print(f" Total cost: ${summary['summary']['total_cost']:.6f}") + print(f" Input/Output split: ${summary['summary']['input_cost']:.6f} / ${summary['summary']['output_cost']:.6f}") + + +if __name__ == "__main__": + demonstrate_cost_calculation() + demonstrate_real_api_integration() + + print("\n" + "=" * 50) + print("โœจ Cost calculation examples completed!") + print("\nKey features:") + print("โ€ข Separate input/output token pricing") + print("โ€ข Automatic cost calculation from API responses") + print("โ€ข Provider-specific pricing configurations") + print("โ€ข Detailed cost breakdowns and analysis") + print("โ€ข Easy integration with conversation history") diff --git a/examples/conversation/multi_turn_tool_calling_example.py b/examples/conversation/multi_turn_tool_calling_example.py new file mode 100644 index 000000000..763e821f5 --- /dev/null +++ b/examples/conversation/multi_turn_tool_calling_example.py @@ -0,0 +1,295 @@ +#!/usr/bin/env python3 +""" +Multi-turn Tool Calling Example - Now with Content Parts Support! + +This example demonstrates the NEW content parts-based architecture that supports +proper multi-turn tool calling workflows in the Dapr Python SDK. + +The new architecture supports: +1. โœ… User messages with tool definitions +2. โœ… Assistant messages with tool calls +3. โœ… Tool result messages +4. โœ… Final assistant responses + +This enables proper multi-turn conversations with LLMs that can call tools +and incorporate the results into their responses. +""" + +import asyncio +import json + +from dapr.aio.clients.grpc.client import DaprGrpcClientAsync +from dapr.clients.grpc._request import ( + ContentPart, + ConversationInput, + TextContent, + Tool, + ToolResultContent, +) + + +def get_weather(location: str, unit: str = 'celsius') -> str: + """Mock weather function.""" + return f'The weather in {location} is 22ยฐ{unit[0].upper()} and sunny' + + +def calculate(expression: str) -> str: + """Mock calculation function.""" + try: + result = eval(expression) # In real code, use a safe evaluator + return str(result) + except Exception as e: + return f'Error: {e}' + + +# Tool definitions using new flat structure +WEATHER_TOOL = Tool( + type='function', + name='get_weather', + description='Get the current weather in a given location', + parameters=json.dumps( + { + 'type': 'object', + 'properties': { + 'location': { + 'type': 'string', + 'description': 'The city and state, e.g. San Francisco, CA', + }, + 'unit': { + 'type': 'string', + 'enum': ['celsius', 'fahrenheit'], + 'description': 'The unit for temperature', + }, + }, + 'required': ['location'], + } + ), +) + +CALC_TOOL = Tool( + type='function', + name='calculate', + description='Perform mathematical calculations', + parameters=json.dumps( + { + 'type': 'object', + 'properties': { + 'expression': { + 'type': 'string', + 'description': 'Mathematical expression to evaluate', + } + }, + 'required': ['expression'], + } + ), +) + + +async def demonstrate_multi_turn_tool_calling(): + """Demonstrate multi-turn tool calling with the new content parts architecture.""" + + print('๐Ÿš€ Multi-turn Tool Calling with Content Parts') + print('=' * 60) + + async with DaprGrpcClientAsync() as client: + # Step 1: User message with question (tools passed at request level) + print('๐Ÿ“ Step 1: User asks question with tools available') + user_input = ConversationInput( + role='user', + parts=[ + ContentPart( + text=TextContent(text="What's the weather in Paris and what's 15 + 27?") + ), + ], + ) + + print(" User: What's the weather in Paris and what's 15 + 27?") + print(f' Tools available: {len([WEATHER_TOOL, CALC_TOOL])}') + + # Call LLM with tools passed at request level + response = await client.converse_alpha1( + name='openai', + inputs=[user_input], + tools=[WEATHER_TOOL, CALC_TOOL] + ) + + # Extract tool calls from response + tool_calls = [] + assistant_text = None + + for output in response.outputs: + if output.parts: + for part in output.parts: + if part.tool_call: + tool_calls.append(part.tool_call) + elif part.text: + assistant_text = part.text.text + + # Fallback to old structure + if not tool_calls: + tool_calls = output.get_tool_calls() + if not assistant_text: + assistant_text = output.get_text() + + print(f" Assistant: {assistant_text or 'Making tool calls...'}") + print(f' Tool calls: {len(tool_calls)}') + + if not tool_calls: + print(' โŒ No tool calls detected - ending demo') + return + + # Step 2: Create assistant message with tool calls for conversation history + print('\n๐Ÿ“‹ Step 2: Assistant message with tool calls') + assistant_input = ConversationInput( + role='assistant', parts=[ContentPart(tool_call=tool_call) for tool_call in tool_calls] + ) + + # Step 3: Execute tools and create tool result messages + print('\n๐Ÿ”ง Step 3: Execute tools and create result messages') + tool_result_inputs = [] + + for tool_call in tool_calls: + # Handle both old and new tool call structures + if hasattr(tool_call, 'function') and tool_call.function: + # Old structure with nested function + func_name = tool_call.function.name + func_args = tool_call.function.arguments + else: + # New flat structure (may be implemented in future) + func_name = tool_call.name + func_args = getattr(tool_call, 'arguments', '{}') + + print(f' Executing: {func_name}({func_args})') + + # Execute the tool + if func_name == 'get_weather': + args = json.loads(func_args) + result = get_weather(**args) + elif func_name == 'calculate': + args = json.loads(func_args) + result = calculate(**args) + else: + result = f'Unknown function: {func_name}' + + print(f' Result: {result}') + + # Create tool result input + tool_result_input = ConversationInput( + role='tool', + parts=[ + ContentPart( + tool_result=ToolResultContent( + tool_call_id=tool_call.id, name=func_name, content=result + ) + ) + ], + ) + tool_result_inputs.append(tool_result_input) + + # Step 4: Multi-turn conversation with complete history + print('\n๐Ÿ’ฌ Step 4: Multi-turn conversation with complete history') + + # Build complete conversation history + conversation_history = [ + user_input, # Original user message with tools + assistant_input, # Assistant message with tool calls + *tool_result_inputs, # Tool result messages + ] + + print(f' Conversation history: {len(conversation_history)} messages') + print(' - User message with question') + print(' - Assistant message with tool calls') + print(f' - {len(tool_result_inputs)} tool result messages') + + # Get final response incorporating tool results (tools still available) + final_response = await client.converse_alpha1( + name='openai', + inputs=conversation_history, + tools=[WEATHER_TOOL, CALC_TOOL] + ) + + # Extract final response + final_text = None + for output in final_response.outputs: + if output.parts: + for part in output.parts: + if part.text: + final_text = part.text.text + break + if not final_text: + final_text = output.get_text() + if final_text: + break + + print('\nโœ… Final Assistant Response:') + print(f' {final_text}') + + print('\n๐ŸŽ‰ Multi-turn tool calling completed successfully!') + print(f' Context ID: {final_response.context_id}') + + +async def demonstrate_backward_compatibility(): + """Show that the new system is backward compatible with old code.""" + + print('\n๐Ÿ”„ Backward Compatibility Demo') + print('=' * 40) + + async with DaprGrpcClientAsync() as client: + # Old style: using deprecated content field + old_style_input = ConversationInput(content='Hello! What is 2 + 2?', role='user') + + print('๐Ÿ“ Old style input (deprecated content field)') + print(f' Content: {old_style_input.content}') + + response = await client.converse_alpha1(name='openai', inputs=[old_style_input]) + + # Extract response (works with both old and new structure) + for output in response.outputs: + text = output.get_text() # Helper method works with both + if text: + print(f' Response: {text}') + break + + print('โœ… Backward compatibility confirmed!') + + +async def main(): + """Main demo function.""" + print('๐ŸŒŸ DAPR CONVERSATION API - MULTI-TURN TOOL CALLING DEMO') + print('=' * 70) + print() + print('This demo shows the new content parts-based architecture that') + print('enables proper multi-turn tool calling workflows.') + print() + + try: + await demonstrate_multi_turn_tool_calling() + await demonstrate_backward_compatibility() + + print('\n' + '=' * 70) + print('๐ŸŽฏ KEY FEATURES DEMONSTRATED:') + print('โœ… Content parts-based architecture') + print('โœ… Multi-turn tool calling workflow') + print('โœ… Complete conversation history support') + print('โœ… Tool definitions, calls, and results') + print('โœ… Backward compatibility with old API') + print('โœ… Assistant messages with tool calls') + print('โœ… Tool result messages') + print() + print('๐Ÿš€ The Dapr Python SDK now supports full multi-turn tool calling!') + + except Exception as e: + print(f'\nโŒ Demo failed: {e}') + print('\nThis is expected if:') + print('- Dapr sidecar is not running') + print('- OpenAI component is not configured') + print("- The Dapr runtime doesn't support content parts yet") + + print('\n๐Ÿ”ง To run this demo:') + print('1. Start Dapr sidecar: python tools/run_dapr_dev.py') + print('2. Ensure OpenAI component is configured') + print('3. Run this script: python examples/conversation/multi_turn_tool_calling_example.py') + + +if __name__ == '__main__': + asyncio.run(main()) diff --git a/examples/conversation/parameter_conversion_example.py b/examples/conversation/parameter_conversion_example.py new file mode 100644 index 000000000..4ac1f5f23 --- /dev/null +++ b/examples/conversation/parameter_conversion_example.py @@ -0,0 +1,200 @@ +#!/usr/bin/env python3 +""" +Parameter Conversion Example for Conversation API + +This example demonstrates the improved developer experience with automatic +parameter conversion. Developers can now pass raw Python values instead of +manually wrapping them in protobuf Any objects. + +Before this fix, developers had to write complex protobuf wrapping code. +After this fix, the SDK handles the conversion automatically. +""" + +import os +import sys + +sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..')) + +from dapr.clients import DaprClient +from dapr.clients.grpc._request import ConversationInput + + +def demonstrate_old_way(): + """ + This shows how developers HAD to write code before the fix. + (This is just for demonstration - don't actually use this approach) + """ + print('โŒ OLD WAY (Complex and Error-Prone):') + print('=' * 50) + + # This is what developers had to do before the fix + code_example = """ +from google.protobuf.any_pb2 import Any as ProtobufAny +from google.protobuf.wrappers_pb2 import StringValue, DoubleValue, Int32Value, BoolValue + +# Manual protobuf wrapping (error-prone and verbose) +tool_choice_any = ProtobufAny() +tool_choice_any.Pack(StringValue(value="auto")) + +temperature_any = ProtobufAny() +temperature_any.Pack(DoubleValue(value=0.7)) + +max_tokens_any = ProtobufAny() +max_tokens_any.Pack(Int32Value(value=1000)) + +stream_any = ProtobufAny() +stream_any.Pack(BoolValue(value=False)) + +# Complex parameter construction +parameters = { + "tool_choice": tool_choice_any, + "temperature": temperature_any, + "max_tokens": max_tokens_any, + "stream": stream_any +} + +response = client.converse_alpha1( + name="openai", + inputs=inputs, + parameters=parameters # Pre-wrapped protobuf objects +) +""" + + print(code_example) + print('โŒ Problems with the old way:') + print(' โ€ข Requires deep protobuf knowledge') + print(' โ€ข Verbose and error-prone') + print(' โ€ข Cryptic error messages when wrong') + print(' โ€ข Poor developer experience') + + +def demonstrate_new_way(): + """ + This shows the new, improved developer experience after the fix. + """ + print('\nโœ… NEW WAY (Simple and Intuitive):') + print('=' * 50) + + code_example = """ +# Simple, intuitive parameter passing (automatic conversion) +response = client.converse_alpha1( + name="openai", + inputs=inputs, + parameters={ + "tool_choice": "auto", # Raw string - auto-converted + "temperature": 0.7, # Raw float - auto-converted + "max_tokens": 1000, # Raw int - auto-converted + "stream": False, # Raw bool - auto-converted + "top_p": 0.9, # Raw float - auto-converted + "frequency_penalty": 0.0, # Raw float - auto-converted + "presence_penalty": 0.0, # Raw float - auto-converted + } +) +""" + + print(code_example) + print('โœ… Benefits of the new way:') + print(' โ€ข No protobuf knowledge required') + print(' โ€ข Clean, readable code') + print(' โ€ข Automatic type conversion') + print(' โ€ข Better developer experience') + print(' โ€ข Backward compatible with pre-wrapped objects') + + +def test_real_example(): + """Test the new functionality with a real example.""" + print('\n๐Ÿš€ REAL EXAMPLE:') + print('=' * 50) + + try: + with DaprClient() as client: + inputs = [ + ConversationInput( + content="What's the weather like today? Use the weather tool if available.", + role='user', + ) + ] + + print('๐Ÿ“ค Sending request with simple parameters...') + + # This is the new, simple way - no protobuf knowledge needed! + response = client.converse_alpha1( + name='echo', # Using echo component for testing + inputs=inputs, + parameters={ + 'tool_choice': 'auto', + 'temperature': 0.7, + 'max_tokens': 1000, + 'stream': False, + 'top_p': 0.9, + 'frequency_penalty': 0.0, + 'presence_penalty': 0.0, + }, + ) + + print(f'โœ… Success! Received {len(response.outputs)} outputs') + + for i, output in enumerate(response.outputs): + print(f' Output {i+1}: {output.result[:100]}...') + + if response.usage: + print(f'๐Ÿ“Š Usage: {response.usage.total_tokens} tokens') + + except Exception as e: + print(f'โš ๏ธ Test failed (expected if Dapr not running): {e}') + + +def test_backward_compatibility(): + """Test that pre-wrapped protobuf objects still work.""" + print('\n๐Ÿ”„ BACKWARD COMPATIBILITY TEST:') + print('=' * 50) + + try: + from google.protobuf.any_pb2 import Any as ProtobufAny + from google.protobuf.wrappers_pb2 import StringValue + + # Create a pre-wrapped parameter (old way) + pre_wrapped_any = ProtobufAny() + pre_wrapped_any.Pack(StringValue(value='auto')) + + with DaprClient() as client: + inputs = [ConversationInput(content='Test backward compatibility', role='user')] + + # Mix of old (pre-wrapped) and new (raw) parameters + response = client.converse_alpha1( + name='echo', + inputs=inputs, + parameters={ + 'tool_choice': pre_wrapped_any, # Old way (pre-wrapped) + 'temperature': 0.8, # New way (raw value) + 'max_tokens': 500, # New way (raw value) + }, + ) + + print('โœ… Backward compatibility test passed!') + print(' Mixed parameters (old + new) work correctly') + + except Exception as e: + print(f'โš ๏ธ Backward compatibility test failed: {e}') + + +def main(): + """Run the demonstration.""" + print('๐ŸŽฏ Conversation API Parameter Conversion Demo') + print('=' * 60) + + demonstrate_old_way() + demonstrate_new_way() + test_real_example() + test_backward_compatibility() + + print('\n๐ŸŽ‰ Demo completed!') + print('\nKey takeaways:') + print('โ€ข Developers can now use raw Python values in parameters') + print('โ€ข No more manual protobuf wrapping required') + print('โ€ข Backward compatibility is maintained') + print('โ€ข Much better developer experience!') + + +if __name__ == '__main__': + main() diff --git a/examples/conversation/real_llm_providers_example.py b/examples/conversation/real_llm_providers_example.py new file mode 100644 index 000000000..7f7f44689 --- /dev/null +++ b/examples/conversation/real_llm_providers_example.py @@ -0,0 +1,543 @@ +#!/usr/bin/env python3 + +""" +Real LLM Providers Example for Dapr Conversation API + +This example demonstrates how to use real LLM providers (OpenAI, Anthropic, etc.) +with the Dapr Conversation API. It creates component configurations and tests +actual conversation functionality with tool calling support. + +Prerequisites: +1. Set up API keys in .env file (copy from .env.example) +2. For local dev mode: Local Dapr repository cloned alongside this SDK +3. For manual mode: Start Dapr sidecar manually + +Usage: + # Automatic mode (recommended) - manages Dapr sidecar automatically + python examples/conversation/real_llm_providers_example.py --local-dev + + # Manual mode - requires manual Dapr sidecar setup + python examples/conversation/real_llm_providers_example.py + + # Show help + python examples/conversation/real_llm_providers_example.py --help + +Environment Variables: + OPENAI_API_KEY: OpenAI API key + ANTHROPIC_API_KEY: Anthropic API key + MISTRAL_API_KEY: Mistral API key + DEEPSEEK_API_KEY: DeepSeek API key + GOOGLE_API_KEY: Google AI (Gemini) API key + USE_LOCAL_DEV: Set to 'true' to use local dev mode +""" + +import asyncio +import json +import os +import subprocess +import sys +import tempfile +import time +from pathlib import Path +from typing import Any, Dict, List, Optional + +import yaml + +# Add the parent directory to the path so we can import dapr +sys.path.insert(0, str(Path(__file__).parent.parent.parent)) + +try: + from dotenv import load_dotenv + DOTENV_AVAILABLE = True +except ImportError: + DOTENV_AVAILABLE = False + print("โš ๏ธ python-dotenv not installed. Install with: pip install python-dotenv") + +from dapr.aio.clients import DaprClient as AsyncDaprClient +from dapr.clients import DaprClient +from dapr.clients.grpc._request import ContentPart, ConversationInput, TextContent, Tool + + +class DaprSidecarManager: + """Manages Dapr sidecar lifecycle using the local development build.""" + + def __init__(self): + self.process = None + self.temp_components_dir = None + + def start_with_components(self, components_dir: str, build_local_dapr: bool = False) -> bool: + """Start Dapr sidecar with specified components using local development build.""" + try: + # Start sidecar using run_dapr_dev.py with our components + project_root = Path(__file__).parent.parent.parent + cmd = [ + sys.executable, + str(project_root / "tools" / "run_dapr_dev.py"), + "--components", components_dir, + ] + + if build_local_dapr: + cmd.append("--build") + + print(f"๐Ÿš€ Starting Dapr sidecar with components from: {components_dir}") + self.process = subprocess.Popen( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + text=True, + cwd=str(project_root) + ) + + # Wait a bit for startup + time.sleep(3) + + # Check if process is still running + if self.process.poll() is None: + print("โœ… Dapr sidecar started successfully") + return True + else: + print("โŒ Dapr sidecar failed to start") + return False + + except Exception as e: + print(f"โŒ Failed to start sidecar: {e}") + return False + + def stop(self): + """Stop the Dapr sidecar process.""" + if self.process: + try: + self.process.terminate() + self.process.wait(timeout=10) + print("๐Ÿ›‘ Stopped Dapr sidecar") + except subprocess.TimeoutExpired: + self.process.kill() + print("๐Ÿ”ฅ Force killed Dapr sidecar") + except Exception as e: + print(f"โš ๏ธ Error stopping sidecar: {e}") + finally: + self.process = None + + +class RealLLMProviderTester: + """Test real LLM providers with Dapr Conversation API.""" + + def __init__(self, use_local_dev: bool = False): + self.available_providers = {} + self.component_configs = {} + self.components_dir = None + self.use_local_dev = use_local_dev + self.sidecar_manager = DaprSidecarManager() if use_local_dev else None + + def load_environment(self) -> None: + """Load environment variables from .env file if available.""" + if DOTENV_AVAILABLE: + env_file = Path(__file__).parent / '.env' + if env_file.exists(): + load_dotenv(env_file) + print(f"๐Ÿ“ Loaded environment from {env_file}") + else: + print(f"โš ๏ธ No .env file found at {env_file}") + print(" Copy .env.example to .env and add your API keys") + else: + print("โš ๏ธ python-dotenv not available, using system environment variables") + + def detect_available_providers(self) -> Dict[str, Dict[str, Any]]: + """Detect which LLM providers are available based on API keys.""" + providers = {} + + # OpenAI + if os.getenv('OPENAI_API_KEY'): + providers['openai'] = { + 'display_name': 'OpenAI GPT-4o-mini', + 'component_type': 'conversation.openai', + 'api_key_env': 'OPENAI_API_KEY', + 'metadata': [ + {'name': 'key', 'value': os.getenv('OPENAI_API_KEY')}, + {'name': 'model', 'value': 'gpt-4o-mini'} + ] + } + + # Anthropic + if os.getenv('ANTHROPIC_API_KEY'): + providers['anthropic'] = { + 'display_name': 'Anthropic Claude Sonnet 4', + 'component_type': 'conversation.anthropic', + 'api_key_env': 'ANTHROPIC_API_KEY', + 'metadata': [ + {'name': 'key', 'value': os.getenv('ANTHROPIC_API_KEY')}, + {'name': 'model', 'value': 'claude-sonnet-4-20250514'} + ] + } + + # Mistral + if os.getenv('MISTRAL_API_KEY'): + providers['mistral'] = { + 'display_name': 'Mistral Large', + 'component_type': 'conversation.mistral', + 'api_key_env': 'MISTRAL_API_KEY', + 'metadata': [ + {'name': 'key', 'value': os.getenv('MISTRAL_API_KEY')}, + {'name': 'model', 'value': 'mistral-large-latest'} + ] + } + + # DeepSeek + if os.getenv('DEEPSEEK_API_KEY'): + providers['deepseek'] = { + 'display_name': 'DeepSeek V3', + 'component_type': 'conversation.deepseek', + 'api_key_env': 'DEEPSEEK_API_KEY', + 'metadata': [ + {'name': 'key', 'value': os.getenv('DEEPSEEK_API_KEY')}, + {'name': 'model', 'value': 'deepseek-chat'} + ] + } + + # Google AI (Gemini) + if os.getenv('GOOGLE_API_KEY'): + providers['google'] = { + 'display_name': 'Google Gemini 2.5 Flash', + 'component_type': 'conversation.googleai', + 'api_key_env': 'GOOGLE_API_KEY', + 'metadata': [ + {'name': 'key', 'value': os.getenv('GOOGLE_API_KEY')}, + {'name': 'model', 'value': 'gemini-2.5-flash'} + ] + } + + return providers + + def create_component_configs(self, selected_providers: Optional[List[str]] = None) -> str: + """Create Dapr component configurations for available providers.""" + # Create temporary directory for components + self.components_dir = tempfile.mkdtemp(prefix='dapr-llm-components-') + + # If no specific providers selected, use OpenAI as default (most reliable) + if not selected_providers: + selected_providers = ['openai'] if 'openai' in self.available_providers else list(self.available_providers.keys())[:1] + + for provider_id in selected_providers: + if provider_id not in self.available_providers: + continue + + config = self.available_providers[provider_id] + component_config = { + 'apiVersion': 'dapr.io/v1alpha1', + 'kind': 'Component', + 'metadata': {'name': provider_id}, + 'spec': { + 'type': config['component_type'], + 'version': 'v1', + 'metadata': config['metadata'] + } + } + + # Write component file + component_file = Path(self.components_dir) / f"{provider_id}.yaml" + with open(component_file, 'w') as f: + yaml.dump(component_config, f, default_flow_style=False) + + print(f"๐Ÿ“ Created component: {component_file}") + + return self.components_dir + + def create_weather_tool(self) -> Tool: + """Create a weather tool for testing tool calling.""" + return Tool( + type="function", + name="get_weather", + description="Get the current weather for a location", + parameters=json.dumps({ + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state or country" + }, + "unit": { + "type": "string", + "enum": ["celsius", "fahrenheit"], + "description": "Temperature unit" + } + }, + "required": ["location"] + }) + ) + + def execute_weather_tool(self, location: str, unit: str = "fahrenheit") -> str: + """Simulate weather tool execution.""" + temp = "72ยฐF" if unit == "fahrenheit" else "22ยฐC" + return f"The weather in {location} is sunny with a temperature of {temp}." + + def test_basic_conversation(self, provider_id: str) -> None: + """Test basic conversation with a provider.""" + print(f"\n๐Ÿ’ฌ Testing basic conversation with {self.available_providers[provider_id]['display_name']}") + + try: + with DaprClient() as client: + inputs = [ConversationInput( + content="Hello! Please respond with exactly: 'Hello from Dapr!'", + role="user" + )] + + response = client.converse_alpha1( + name=provider_id, + inputs=inputs + ) + + if response.outputs: + result = response.outputs[0].get_text() + print(f"โœ… Response: {result}") + if hasattr(response, 'usage') and response.usage: + print(f"๐Ÿ“Š Usage: {response.usage.total_tokens} tokens") + else: + print("โŒ No response received") + + except Exception as e: + print(f"โŒ Basic conversation error: {e}") + + def test_streaming_conversation(self, provider_id: str) -> None: + """Test streaming conversation with a provider.""" + print(f"\n๐ŸŒŠ Testing streaming with {self.available_providers[provider_id]['display_name']}") + + try: + with DaprClient() as client: + inputs = [ConversationInput.from_text("Count from 1 to 5, one number per response chunk.")] + + print("๐Ÿ“ก Streaming response:") + full_response = "" + + for chunk in client.converse_stream_alpha1( + name=provider_id, + inputs=inputs + ): + if chunk.chunk and chunk.chunk.content: + content = chunk.chunk.content + print(content, end='', flush=True) + full_response += content + + print(f"\nโœ… Streaming complete. Total length: {len(full_response)} chars") + + except Exception as e: + print(f"โŒ Streaming error: {e}") + + def test_tool_calling(self, provider_id: str) -> None: + """Test tool calling with a provider.""" + print(f"\n๐Ÿ”ง Testing tool calling with {self.available_providers[provider_id]['display_name']}") + + try: + with DaprClient() as client: + weather_tool = self.create_weather_tool() + + user_message = ConversationInput( + role="user", + parts=[ + ContentPart(text=TextContent(text="What's the weather like in San Francisco?")) + ] + ) + + response = client.converse_alpha1( + name=provider_id, + inputs=[user_message], + tools=[weather_tool] + ) + + print(f"Usage: {response.usage.total_tokens}") + print(f"Usage: {response.usage.prompt_tokens}") + print(f"Usage: {response.usage.completion_tokens}") + + tool_calls = [] + + for i, output in enumerate(response.outputs): + print(f"Output {i}: {output.get_text()}") + for tool_call in output.get_tool_calls(): + print(f"๐Ÿ”ง Tool called: {tool_call.name}") + tool_calls.append(tool_call) + # Execute the tool to show the workflow is complete + args = json.loads(tool_call.arguments) + weather_result = self.execute_weather_tool( + args.get('location', 'San Francisco'), + args.get('unit', 'fahrenheit') + ) + print(f"๐ŸŒค๏ธ Tool executed: {weather_result}") + print("โœ… Tool calling demonstration completed!") + + # Note: Multi-turn tool calling workflow (sending tool results back) + # requires conversation state management that may not be fully + # supported by all Dapr conversation components yet. + # This demonstrates the core tool calling functionality. + + if len(tool_calls) == 0: + print("โŒ No tool calls made") + else: + print(f"Tool calls: {tool_calls}") + + except Exception as e: + print(f"โŒ Tool calling error: {e}") + + async def test_async_conversation(self, provider_id: str) -> None: + """Test async conversation with a provider.""" + print(f"\nโšก Testing async conversation with {self.available_providers[provider_id]['display_name']}") + + try: + async with AsyncDaprClient() as client: + inputs = [ConversationInput( + content="Tell me a very short joke.", + role="user" + )] + + response = await client.converse_alpha1( + name=provider_id, + inputs=inputs + ) + + if response.outputs: + result = response.outputs[0].get_text() + print(f"โœ… Async response: {result}") + else: + print("โŒ No async response received") + + except Exception as e: + print(f"โŒ Async error: {e}") + + async def test_async_streaming(self, provider_id: str) -> None: + """Test async streaming conversation with a provider.""" + print(f"\n๐ŸŒŠโšก Testing async streaming with {self.available_providers[provider_id]['display_name']}") + + try: + async with AsyncDaprClient() as client: + inputs = [ConversationInput( + content="List 3 benefits of async programming, one per line.", + role="user" + )] + + print("๐Ÿ“ก Async streaming response:") + full_response = "" + + async for chunk in client.converse_stream_alpha1( + name=provider_id, + inputs=inputs + ): + if chunk.chunk and chunk.chunk.content: + content = chunk.chunk.content + print(content, end='', flush=True) + full_response += content + + print(f"\nโœ… Async streaming complete. Total length: {len(full_response)} chars") + + except Exception as e: + print(f"โŒ Async streaming error: {e}") + + def run_comprehensive_test(self, provider_id: str) -> None: + """Run comprehensive tests for a provider.""" + provider_name = self.available_providers[provider_id]['display_name'] + print(f"\n{'='*60}") + print(f"๐Ÿงช Testing {provider_name}") + print(f"{'='*60}") + + # Sync tests + self.test_basic_conversation(provider_id) + self.test_streaming_conversation(provider_id) + self.test_tool_calling(provider_id) + + # Async tests + asyncio.run(self.test_async_conversation(provider_id)) + asyncio.run(self.test_async_streaming(provider_id)) + + def cleanup(self) -> None: + """Clean up temporary component files and stop sidecar if needed.""" + # Stop sidecar if we started it + if self.sidecar_manager: + self.sidecar_manager.stop() + + # Clean up temporary components directory + if self.components_dir and Path(self.components_dir).exists(): + import shutil + shutil.rmtree(self.components_dir) + print(f"๐Ÿงน Cleaned up components directory: {self.components_dir}") + + +def main(): + """Main function to run the real LLM providers test.""" + print("๐Ÿš€ Real LLM Providers Example for Dapr Conversation API") + print("=" * 60) + + # Check for help flag + if "--help" in sys.argv or "-h" in sys.argv: + print(__doc__) + return + + # Check if user wants to use local dev environment + use_local_dev = "--local-dev" in sys.argv or os.getenv("USE_LOCAL_DEV", "").lower() in ("true", "1", "yes") + build_local_dapr = "--build-local-dapr" in sys.argv or os.getenv("BUILD_LOCAL_DAPR", "").lower() in ("true", "1", "yes") + + if use_local_dev: + print("๐Ÿ”ง Using local development build (tool calling enabled)") + print(" This will automatically start and manage the Dapr sidecar") + else: + print("๐Ÿ“‹ Using manual Dapr sidecar setup") + print(" You'll need to start the Dapr sidecar manually") + + tester = RealLLMProviderTester(use_local_dev=use_local_dev) + + try: + # Load environment variables + tester.load_environment() + + # Detect available providers + print("\n๐Ÿ” Detecting available LLM providers...") + tester.available_providers = tester.detect_available_providers() + + if not tester.available_providers: + print("\nโŒ No LLM providers configured!") + print("Please set up API keys in .env file (copy from .env.example)") + print("Available providers: OpenAI, Anthropic, Mistral, DeepSeek, Google AI") + return + + print(f"\nโœ… Found {len(tester.available_providers)} configured provider(s)") + + # Create component configurations for all available providers + selected_providers = list(tester.available_providers.keys()) + components_dir = tester.create_component_configs(selected_providers) + + if tester.use_local_dev: + # Start sidecar automatically using local dev build + print("\n๐Ÿ”ง Using local development build to start Dapr sidecar...") + if build_local_dapr: + print("๐Ÿ”ง Building local Dapr repository...") + if not tester.sidecar_manager.start_with_components(components_dir, build_local_dapr): + print("โŒ Failed to start Dapr sidecar automatically") + return + else: + # Manual sidecar setup + print("\nโš ๏ธ IMPORTANT: Make sure Dapr sidecar is running with components from:") + print(f" {components_dir}") + print("\nTo start the sidecar with these components:") + print(f" dapr run --app-id test-app --dapr-http-port 3500 --dapr-grpc-port 50001 --resources-path {components_dir}") + + # Wait for user to confirm + input("\nPress Enter when Dapr sidecar is running with the component configurations...") + + # Test only the providers we created components for + for provider_id in selected_providers: + if provider_id in tester.available_providers: + tester.run_comprehensive_test(provider_id) + + print(f"\n{'='*60}") + print("๐ŸŽ‰ All tests completed!") + print("โœ… Real LLM provider integration is working correctly") + print(f"{'='*60}") + + except KeyboardInterrupt: + print("\n\nโน๏ธ Tests interrupted by user") + except Exception as e: + print(f"\nโŒ Unexpected error: {e}") + import traceback + traceback.print_exc() + finally: + tester.cleanup() + + +if __name__ == "__main__": + main() diff --git a/examples/conversation/streaming_async_comprehensive.py b/examples/conversation/streaming_async_comprehensive.py new file mode 100755 index 000000000..98a09edc4 --- /dev/null +++ b/examples/conversation/streaming_async_comprehensive.py @@ -0,0 +1,117 @@ +#!/usr/bin/env python3 + +""" +Example demonstrating asynchronous streaming conversation API. + +This example shows how to use the Dapr async conversation streaming API with the echo component +for testing purposes. In production, you would replace 'echo' with an actual LLM component +like 'openai', 'anthropic', etc. + +Prerequisites: +- Dapr sidecar running with conversation components +- Use tools/run_dapr_dev.py to start a development sidecar with echo component +""" + +import asyncio + +from dapr.aio.clients import DaprClient +from dapr.clients.grpc._request import ConversationInput + + +async def basic_streaming_test(d): + """Test basic async streaming conversation.""" + print('\n๐Ÿ“ก Testing async streaming conversation...') + inputs = [ConversationInput(content='Hello from async Python SDK streaming test!', role='user')] + + chunks_received = [] + final_usage = None + final_context_id = None + + async for response in d.converse_stream_alpha1( + name='echo', inputs=inputs, context_id='async-test-session-456' + ): + if response.chunk: + # Extract text from chunk parts or fallback to deprecated content + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + print(f'๐Ÿ“ฆ Async chunk: "{part.text.text}"') + chunks_received.append(part.text.text) + elif response.chunk.content: + print(f'๐Ÿ“ฆ Async chunk: "{response.chunk.content}"') + chunks_received.append(response.chunk.content) + elif response.complete: + # Handle completion with final context and usage + if response.complete.context_id: + final_context_id = response.complete.context_id + print(f'๐Ÿ†” Async context ID: {final_context_id}') + if response.complete.usage: + prompt_tokens = response.complete.usage.prompt_tokens + completion_tokens = response.complete.usage.completion_tokens + total_tokens = response.complete.usage.total_tokens + usage_parts = [ + f'๐Ÿ“Š Async usage: {prompt_tokens} prompt', + f'{completion_tokens} completion', + f'{total_tokens} total tokens', + ] + print(' + '.join(usage_parts[:2]) + ' = ' + usage_parts[2]) + final_usage = response.complete.usage + + print(f'\nโœ… Async success! Received {len(chunks_received)} chunks') + print(f'๐Ÿ“ Full async response: {"".join(chunks_received)}') + if final_usage: + print(f'๐Ÿ’ฐ Total async usage: {final_usage.total_tokens} tokens') + else: + no_usage_msg = 'โ„น๏ธ No usage information available' + echo_note = " (echo component doesn't provide token counts)" + print(no_usage_msg + echo_note) + + +async def concurrent_conversations_test(d): + """Test multiple concurrent conversations.""" + print('\n๐Ÿ”„ Testing concurrent conversations...') + + async def run_conversation(message, session_id): + inputs = [ConversationInput(content=message, role='user')] + chunks = [] + async for response in d.converse_stream_alpha1( + name='echo', inputs=inputs, context_id=session_id + ): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + elif response.chunk.content: + chunks.append(response.chunk.content) + return f"Session {session_id}: {''.join(chunks)}" + + # Run 3 conversations concurrently + tasks = [ + run_conversation('First conversation', 'session-1'), + run_conversation('Second conversation', 'session-2'), + run_conversation('Third conversation', 'session-3'), + ] + + results = await asyncio.gather(*tasks) + for result in results: + print(f'๐ŸŽฏ {result}') + + +async def main(): + print('๐Ÿงช Testing asynchronous streaming conversation with echo component...') + + try: + async with DaprClient() as d: + print('โœ“ Connected to Dapr sidecar (async)') + await basic_streaming_test(d) + await concurrent_conversations_test(d) + + except Exception as e: + print(f'โŒ Async error: {e}') + print('\n๐Ÿ’ก Make sure to start the Dapr sidecar with:') + print(' python tools/run_dapr_dev.py') + + +if __name__ == '__main__': + asyncio.run(main()) diff --git a/examples/conversation/streaming_comprehensive.py b/examples/conversation/streaming_comprehensive.py new file mode 100755 index 000000000..20a70cba8 --- /dev/null +++ b/examples/conversation/streaming_comprehensive.py @@ -0,0 +1,146 @@ +#!/usr/bin/env python3 + +""" +Comprehensive example demonstrating the Dapr streaming conversation API. + +This example demonstrates all features of the streaming conversation API including: +- Basic streaming conversation +- Usage tracking (token consumption) +- PII scrubbing +- Temperature control +- Error handling + +Prerequisites: +- Dapr sidecar running with conversation components +- Use tools/run_dapr_dev.py to start a development sidecar with echo component +""" + +from dapr.clients import DaprClient +from dapr.clients.grpc._request import ConversationInput + + +def basic_streaming_test(d): + """Test basic streaming conversation.""" + print('\n๐Ÿ“ก Testing basic streaming conversation...') + inputs = [ConversationInput(content='Hello from Python SDK streaming test!', role='user')] + + chunks_received = [] + final_usage = None + final_context_id = None + + for response in d.converse_stream_alpha1( + name='echo', inputs=inputs, context_id='sync-test-session-123' + ): + if response.chunk: + # Extract text from chunk parts or fallback to deprecated content + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + print(f'๐Ÿ“ฆ Chunk: "{part.text.text}"') + chunks_received.append(part.text.text) + elif response.chunk.content: + print(f'๐Ÿ“ฆ Chunk: "{response.chunk.content}"') + chunks_received.append(response.chunk.content) + elif response.complete: + # Handle completion with final context and usage + if response.complete.context_id: + final_context_id = response.complete.context_id + print(f'๐Ÿ†” Context ID: {final_context_id}') + if response.complete.usage: + prompt_tokens = response.complete.usage.prompt_tokens + completion_tokens = response.complete.usage.completion_tokens + total_tokens = response.complete.usage.total_tokens + usage_parts = [ + f'๐Ÿ“Š Usage: {prompt_tokens} prompt', + f'{completion_tokens} completion', + f'{total_tokens} total tokens', + ] + print(' + '.join(usage_parts[:2]) + ' = ' + usage_parts[2]) + final_usage = response.complete.usage + + # NEW: Handle accumulated outputs/tool calls in complete message + if response.complete.outputs: + print(f'๐Ÿ”ง Accumulated outputs: {len(response.complete.outputs)} items') + for i, output in enumerate(response.complete.outputs): + if output.get_tool_calls(): + tool_calls = output.get_tool_calls() + print(f' Output {i+1}: {len(tool_calls)} tool call(s)') + for tool_call in tool_calls: + print(f' - {tool_call.name}({tool_call.arguments})') + elif output.get_text(): + print(f' Output {i+1}: Text - "{output.get_text()}"') + + print(f'\nโœ… Success! Received {len(chunks_received)} chunks') + print(f'๐Ÿ“ Full response: {"".join(chunks_received)}') + if final_usage: + print(f'๐Ÿ’ฐ Total usage: {final_usage.total_tokens} tokens') + else: + no_usage_msg = 'โ„น๏ธ No usage information available' + echo_note = " (echo component doesn't provide token counts)" + print(no_usage_msg + echo_note) + + +def pii_scrubbing_test(d): + """Test PII scrubbing functionality.""" + print('\n๐Ÿ”’ Testing PII scrubbing...') + pii_inputs = [ + ConversationInput(content='My phone number is +1234567890', role='user', scrub_pii=True) + ] + + scrubbed_chunks = [] + for response in d.converse_stream_alpha1(name='echo', inputs=pii_inputs, scrub_pii=True): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + print(f'๐Ÿ“ฆ Scrubbed chunk: "{part.text.text}"') + scrubbed_chunks.append(part.text.text) + elif response.chunk.content: + print(f'๐Ÿ“ฆ Scrubbed chunk: "{response.chunk.content}"') + scrubbed_chunks.append(response.chunk.content) + + scrubbed_response = ''.join(scrubbed_chunks) + print(f'๐Ÿ“ Scrubbed response: {scrubbed_response}') + + if '' in scrubbed_response: + print('โœ… PII scrubbing working correctly!') + else: + print('โš ๏ธ PII scrubbing may not be working as expected') + + +def temperature_test(d): + """Test temperature parameter.""" + print('\n๐ŸŒก๏ธ Testing with temperature parameter...') + temp_inputs = [ConversationInput(content='Test with temperature setting', role='user')] + + temp_chunks = [] + for response in d.converse_stream_alpha1(name='echo', inputs=temp_inputs, temperature=0.7): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + temp_chunks.append(part.text.text) + elif response.chunk.content: + temp_chunks.append(response.chunk.content) + + print(f'๐Ÿ“ Temperature test response: {"".join(temp_chunks)}') + + +def main(): + print('๐Ÿš€ Demonstrating Dapr streaming conversation API features...') + + try: + with DaprClient() as d: + print('โœ“ Connected to Dapr sidecar') + basic_streaming_test(d) + pii_scrubbing_test(d) + temperature_test(d) + + except Exception as e: + print(f'โŒ Error: {e}') + print('\n๐Ÿ’ก Make sure to start the Dapr sidecar with:') + print(' python tools/run_dapr_dev.py') + + +if __name__ == '__main__': + main() diff --git a/examples/conversation/streaming_json_example.py b/examples/conversation/streaming_json_example.py new file mode 100644 index 000000000..b73f035b0 --- /dev/null +++ b/examples/conversation/streaming_json_example.py @@ -0,0 +1,117 @@ +#!/usr/bin/env python3 + +""" +Example demonstrating the new converse_stream_json API. + +This example shows how to use the new JSON-formatted streaming conversation API +that provides responses compatible with common LLM response formats, making it +easier to integrate with existing tools and frameworks. + +Prerequisites: +- Dapr sidecar running with conversation components +- Use tools/run_dapr_dev.py to start a development sidecar with echo component +""" + +import asyncio + +from dapr.aio.clients import DaprClient as AsyncDaprClient +from dapr.clients import DaprClient +from dapr.clients.grpc._request import ConversationInput + + +def sync_json_streaming_example(): + """Demonstrate synchronous JSON streaming conversation.""" + print('๐Ÿš€ Testing synchronous JSON streaming conversation...') + + with DaprClient() as d: + print('โœ“ Connected to Dapr sidecar') + + inputs = [ConversationInput(content='Hello from JSON streaming test!', role='user')] + + print('\n๐Ÿ“ก Streaming with JSON format...') + for chunk in d.converse_stream_json( + name='echo', inputs=inputs, context_id='json-test-session' + ): + print(f'๐Ÿ“ฆ JSON chunk: {chunk}') + + # Extract content from the JSON structure + choices = chunk.get('choices', []) + if choices and choices[0].get('delta', {}).get('content'): + content = choices[0]['delta']['content'] + print(f' Content: "{content}"') + + # Check for context ID + if chunk.get('context_id'): + print(f' Context ID: {chunk["context_id"]}') + + # Check for usage information + if chunk.get('usage'): + usage = chunk['usage'] + prompt_tokens = usage['prompt_tokens'] + completion_tokens = usage['completion_tokens'] + total_tokens = usage['total_tokens'] + print(f' Usage: {prompt_tokens} + {completion_tokens} = {total_tokens} tokens') + + +async def async_json_streaming_example(): + """Demonstrate asynchronous JSON streaming conversation.""" + print('\n๐Ÿงช Testing asynchronous JSON streaming conversation...') + + async with AsyncDaprClient() as d: + print('โœ“ Connected to Dapr sidecar (async)') + + inputs = [ConversationInput(content='Hello from async JSON streaming test!', role='user')] + + print('\n๐Ÿ“ก Async streaming with JSON format...') + async for chunk in d.converse_stream_json( + name='echo', inputs=inputs, context_id='async-json-test-session' + ): + print(f'๐Ÿ“ฆ Async JSON chunk: {chunk}') + + # Extract content from the JSON structure + choices = chunk.get('choices', []) + if choices and choices[0].get('delta', {}).get('content'): + content = choices[0]['delta']['content'] + print(f' Async Content: "{content}"') + + # Check for context ID + if chunk.get('context_id'): + print(f' Async Context ID: {chunk["context_id"]}') + + # Check for usage information + if chunk.get('usage'): + usage = chunk['usage'] + prompt_tokens = usage['prompt_tokens'] + completion_tokens = usage['completion_tokens'] + total_tokens = usage['total_tokens'] + usage_parts = [ + f' Async Usage: {prompt_tokens}', + f'{completion_tokens}', + f'{total_tokens} tokens', + ] + print(' + '.join(usage_parts[:2]) + ' = ' + usage_parts[2]) + + +def main(): + """Run both sync and async examples.""" + try: + # Run synchronous example + sync_json_streaming_example() + + # Run asynchronous example + asyncio.run(async_json_streaming_example()) + + print('\nโœ… JSON streaming examples completed successfully!') + json_compat_msg = '\n๐Ÿ’ก The JSON format is compatible with common LLM APIs like OpenAI.' + integration_msg = ' This makes it easier to integrate with existing tools and frameworks.' + print(json_compat_msg) + print(integration_msg) + + except Exception as e: + print(f'โŒ Error: {e}') + print('\n๐Ÿ’ก Make sure to start the Dapr sidecar with:') + print(' python tools/run_dapr_dev.py') + + +if __name__ == '__main__': + main() diff --git a/examples/conversation/working_multi_turn_example.py b/examples/conversation/working_multi_turn_example.py new file mode 100644 index 000000000..9b925b865 --- /dev/null +++ b/examples/conversation/working_multi_turn_example.py @@ -0,0 +1,202 @@ +#!/usr/bin/env python3 + +""" +Working Multi-turn Tool Calling Example + +Based on the structure from TestMultiTurnWithOpenAIRealData in the echo component. +This demonstrates the correct conversation flow for multi-turn tool calling. +""" + +import asyncio +import json + +from dapr.aio.clients.grpc.client import DaprGrpcClientAsync +from dapr.clients.grpc._request import ( + ContentPart, + ConversationInput, + TextContent, + Tool, + ToolResultContent, +) + + +def debug_conversation_input(input_obj, step_name): + """Debug helper to show the exact structure being sent""" + print(f"\n๐Ÿ” DEBUG - {step_name}") + print("-" * 40) + + # Convert to dict for JSON serialization + debug_dict = { + "role": input_obj.role, + "parts": [] + } + + for i, part in enumerate(input_obj.parts): + part_dict = {"part_index": i} + + if part.text: + part_dict["type"] = "text" + part_dict["content"] = part.text.text + elif part.tool_call: + part_dict["type"] = "tool_call" + part_dict["content"] = { + "type": "tool_call", + "id": part.tool_call.id, + "name": part.tool_call.name, + "arguments": part.tool_call.arguments + } + elif part.tool_result: + part_dict["type"] = "tool_result" + part_dict["content"] = { + "type": "tool_result", + "tool_call_id": part.tool_result.tool_call_id, + "name": part.tool_result.name, + "content": part.tool_result.content + } + + debug_dict["parts"].append(part_dict) + + print(json.dumps(debug_dict, indent=2)) + print("-" * 40) + +async def main(): + """Demonstrate working multi-turn tool calling based on echo component test patterns""" + + print("๐Ÿ”ง WORKING MULTI-TURN TOOL CALLING WITH DEBUG") + print("=" * 50) + print("Based on TestMultiTurnWithOpenAIRealData pattern") + + async with DaprGrpcClientAsync() as client: + # Define weather tool using new flat structure + weather_tool = Tool( + type="function", + name="get_weather", + description="Get current weather in a location", + parameters='{"type": "object", "properties": {"location": {"type": "string", "description": "City name"}}, "required": ["location"]}' + ) + + print("\\n๐Ÿ“ Step 1: User asks question (tools passed at request level)") + # Step 1: User message (tools now passed at request level) + user_message = ConversationInput( + role="user", + parts=[ + ContentPart(text=TextContent(text="What's the weather like in San Francisco? I'm deciding what to wear today.")) + ] + ) + + print(" User: What's the weather like in San Francisco? I'm deciding what to wear today.") + print(" Tools: 1 tool passed at request level") + + # Debug the user message structure + debug_conversation_input(user_message, "User Message") + + # Make first request to get tool calls (tools passed at request level) + print("\\n๐Ÿค– Making request to OpenAI...") + try: + response1 = await client.converse_alpha1( + name="openai", + inputs=[user_message], + tools=[weather_tool] + ) + + print(f" Response: {response1.outputs[0].result}") + print(f" Finish reason: {response1.outputs[0].finish_reason}") + + # Extract tool calls from response + tool_calls = response1.outputs[0].get_tool_calls() + print(f" Tool calls: {len(tool_calls)} generated") + + if tool_calls: + print("\\n๐Ÿ”„ Step 2: Processing tool calls...") + + # Build conversation history following the test pattern + conversation_history = [ + user_message, # Original user message + # Add assistant response with tool calls + ConversationInput( + role="assistant", + parts=response1.outputs[0].parts # Use actual response parts + ) + ] + + # Debug the assistant message with tool calls + debug_conversation_input(conversation_history[1], "Assistant Message with Tool Calls") + + # Step 3: Add tool results (simulate tool execution) + for tool_call in tool_calls: + if tool_call.name == "get_weather": + # Simulate weather API response (same as test) + tool_result = '{"temperature": 65, "condition": "partly cloudy", "humidity": 70, "wind": "10 mph W", "feels_like": 68}' + else: + tool_result = '{"result": "success", "message": "Tool executed successfully"}' + + print(f" Tool {tool_call.name} -> {tool_result[:50]}...") + + # Add tool result to conversation + tool_result_input = ConversationInput( + role="tool", + parts=[ + ContentPart(tool_result=ToolResultContent( + tool_call_id=tool_call.id, + name=tool_call.name, + content=tool_result, + is_error=False + )) + ] + ) + conversation_history.append(tool_result_input) + + # Debug the tool result message + debug_conversation_input(tool_result_input, f"Tool Result Message ({tool_call.name})") + + # Step 4: Add user follow-up (exactly like the test) + follow_up_message = ConversationInput( + role="user", + parts=[ + ContentPart(text=TextContent(text="Thanks! Based on that weather, what should I wear?")) + ] + ) + conversation_history.append(follow_up_message) + + print("\\n๐Ÿ‘ค Step 3: User follow-up question") + print(" User: Thanks! Based on that weather, what should I wear?") + + # Debug the follow-up message + debug_conversation_input(follow_up_message, "User Follow-up Message") + + print(f"\\n๐Ÿ”„ Step 4: Sending complete conversation history ({len(conversation_history)} messages)") + print("\\n๐Ÿ” COMPLETE CONVERSATION HISTORY DEBUG:") + print("=" * 60) + for i, msg in enumerate(conversation_history): + debug_conversation_input(msg, f"Message {i+1} ({msg.role})") + print("=" * 60) + + # Make final request with complete conversation history (tools still available) + response2 = await client.converse_alpha1( + name="openai", + inputs=conversation_history, + tools=[weather_tool] + ) + + print(f"\\nโœ… Final Response: {response2.outputs[0].result}") + print(f" Finish reason: {response2.outputs[0].finish_reason}") + + if response2.usage: + print(f" Usage: {response2.usage.total_tokens} tokens") + + print("\\n๐ŸŽ‰ MULTI-TURN TOOL CALLING SUCCESSFUL!") + print(" โœ… Tools provided at request level") + print(" โœ… Tool calls generated") + print(" โœ… Tool results processed") + print(" โœ… Contextual follow-up handled") + + else: + print("\\nโŒ No tool calls generated - check tool definitions") + + except Exception as e: + print(f"\\nโŒ Error: {e}") + print("\\nThis demonstrates the correct structure even if the request fails.") + print("The issue is likely in the Dapr conversation component, not the Python SDK.") + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/pyproject.toml b/pyproject.toml index 2b8ddf72e..d7a62aea7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,7 +2,14 @@ target-version = "py38" line-length = 100 fix = true -extend-exclude = [".github", "dapr/proto"] +extend-exclude = [ + ".github", + "dapr/proto", + "tools/dapr/proto", + "**/*_pb2.py", + "**/*_pb2_grpc.py", + "**/*_pb2.pyi" +] [tool.ruff.lint] select = [ "E", # pycodestyle errors diff --git a/tests/clients/fake_dapr_server.py b/tests/clients/fake_dapr_server.py index ccc5aedf3..82f04c696 100644 --- a/tests/clients/fake_dapr_server.py +++ b/tests/clients/fake_dapr_server.py @@ -1,42 +1,43 @@ -import grpc import json - from concurrent import futures -from google.protobuf.any_pb2 import Any as GrpcAny +from typing import Dict + +import grpc from google.protobuf import empty_pb2, struct_pb2 -from google.rpc import status_pb2, code_pb2 +from google.protobuf.any_pb2 import Any as GrpcAny +from google.rpc import code_pb2, status_pb2 from grpc_status import rpc_status from dapr.clients.grpc._helpers import to_bytes -from dapr.proto import api_service_v1, common_v1, api_v1, appcallback_v1 -from dapr.proto.common.v1.common_pb2 import ConfigurationItem from dapr.clients.grpc._response import WorkflowRuntimeStatus +from dapr.proto import api_service_v1, api_v1, appcallback_v1, common_v1 +from dapr.proto.common.v1.common_pb2 import ConfigurationItem from dapr.proto.runtime.v1.dapr_pb2 import ( ActiveActorsCount, + ConversationResult, + DecryptRequest, + DecryptResponse, + EncryptRequest, + EncryptResponse, GetMetadataResponse, + GetWorkflowRequest, + GetWorkflowResponse, + PauseWorkflowRequest, + PurgeWorkflowRequest, QueryStateItem, + RaiseEventWorkflowRequest, RegisteredComponents, + ResumeWorkflowRequest, SetMetadataRequest, + StartWorkflowRequest, + StartWorkflowResponse, + TerminateWorkflowRequest, + ToolCall, TryLockRequest, TryLockResponse, UnlockRequest, UnlockResponse, - StartWorkflowRequest, - StartWorkflowResponse, - GetWorkflowRequest, - GetWorkflowResponse, - PauseWorkflowRequest, - ResumeWorkflowRequest, - TerminateWorkflowRequest, - PurgeWorkflowRequest, - RaiseEventWorkflowRequest, - EncryptRequest, - EncryptResponse, - DecryptRequest, - DecryptResponse, ) -from typing import Dict - from tests.clients.certs import GrpcCerts from tests.clients.fake_http_server import FakeHttpServer @@ -524,17 +525,304 @@ def GetMetadata(self, request, context): extended_metadata=self.metadata, ) - def ConverseAlpha1(self, request, context): + def ConverseAlpha1(self, request, context): # noqa: C901 """Mock implementation of the ConverseAlpha1 endpoint.""" self.check_for_exception(context) # Echo back the input messages as outputs outputs = [] + + # Check for tools at request level (new architecture) + request_tools = [] + if hasattr(request, 'tools') and request.tools: + request_tools = list(request.tools) + for input in request.inputs: - result = f'Response to: {input.content}' - outputs.append(api_v1.ConversationResult(result=result, parameters={})) + # Check input role FIRST - tool results should be handled specially regardless of tools + if input.role == 'tool': + # Tool result input - generate final response + result = ConversationResult( + result='Based on the tool result, here is my response to your query.', + parameters={}, + finish_reason='stop' + ) + else: + # Check for tool definitions in content parts (legacy) + has_tool_definitions = False + tools = list(request_tools) # Start with request-level tools + + if input.parts: + for part in input.parts: + # tool_definitions no longer exists in the protobuf + # Tools are now passed at request level only + pass + + # Also check legacy tools field for backward compatibility + if hasattr(input, 'tools') and input.tools: + has_tool_definitions = True + tools.extend(input.tools) + + # If we have any tools (from request or content), set the flag + if tools: + has_tool_definitions = True + + if has_tool_definitions: + # Simulate tool calling behavior + tool_calls = [] + for tool in tools: + # Handle both new flat structure and legacy nested structure + tool_name = tool.name if hasattr(tool, 'name') else tool.function.name + + if tool_name == 'get_weather': + tool_call = ToolCall( + id='call_123', + type='function', + name='get_weather', + arguments='{"location": "San Francisco", "unit": "fahrenheit"}' + ) + tool_calls.append(tool_call) + elif tool_name == 'calculate': + tool_call = ToolCall( + id='call_456', + type='function', + name='calculate', + arguments='{"expression": "15 * 23"}' + ) + tool_calls.append(tool_call) + + if tool_calls: + # Create content parts with tool calls + parts = [] + for tool_call in tool_calls: + part = api_v1.ContentPart() + part.tool_call.id = tool_call.id + part.tool_call.type = tool_call.type + part.tool_call.name = tool_call.name + part.tool_call.arguments = tool_call.arguments + parts.append(part) + + result = ConversationResult( + result='', + parameters={}, + parts=parts, + finish_reason='tool_calls' + ) + else: + # Extract content from input + content = input.content if input.content else "" + if input.parts: + for part in input.parts: + if part.HasField('text'): + content = part.text.text + break + + result = ConversationResult( + result=f'Response to: {content}', + parameters={}, + finish_reason='stop' + ) + else: + # Extract content from input + content = input.content if input.content else "" + if input.parts: + for part in input.parts: + if part.HasField('text'): + content = part.text.text + break + + result = ConversationResult( + result=f'Response to: {content}', + parameters={}, + finish_reason='stop' + ) + outputs.append(result) + + # Mock usage information + usage = api_v1.ConversationUsage() + usage.prompt_tokens = 10 + usage.completion_tokens = 20 + usage.total_tokens = 30 + + return api_v1.ConversationResponse( + contextID=request.contextID or 'mock-context-123', + outputs=outputs, + usage=usage + ) - return api_v1.ConversationResponse(contextID=request.contextID, outputs=outputs) + def ConverseStreamAlpha1(self, request, context): # noqa: C901 + """Mock implementation of the ConverseStreamAlpha1 endpoint.""" + self.check_for_exception(context) + + # Check for tools at request level (new architecture) + request_tools = [] + if hasattr(request, 'tools') and request.tools: + request_tools = list(request.tools) + + for input in request.inputs: + # Check for tool definitions in content parts (legacy) + has_tool_definitions = False + tools = list(request_tools) # Start with request-level tools + + if input.parts: + for part in input.parts: + # tool_definitions no longer exists in the protobuf + # Tools are now passed at request level only + pass + + # Also check legacy tools field for backward compatibility + if hasattr(input, 'tools') and input.tools: + has_tool_definitions = True + tools.extend(input.tools) + + # If we have any tools (from request or content), set the flag + if tools: + has_tool_definitions = True + + # Check input role first - tool results should be handled specially + if input.role == 'tool': + # Tool result input - stream final response + response_text = 'Based on the tool result, here is my response.' + for chunk_text in response_text.split(' '): + chunk = api_v1.ConversationStreamChunk() + # Create text content part instead of deprecated content field + part = api_v1.ContentPart() + part.text.text = chunk_text + ' ' + chunk.parts.append(part) + chunk.finish_reason = '' + + response = api_v1.ConversationStreamResponse() + response.chunk.CopyFrom(chunk) + yield response + elif has_tool_definitions: + # Extract content from input for context + content = input.content if input.content else "" + if input.parts: + for part in input.parts: + if part.HasField('text'): + content = part.text.text + break + + # First, stream some thinking text before making tool calls + thinking_text = f"Let me help you with that. I'll need to use some tools to get the information." + for chunk_text in thinking_text.split(' '): + chunk = api_v1.ConversationStreamChunk() + part = api_v1.ContentPart() + part.text.text = chunk_text + ' ' + chunk.parts.append(part) + chunk.finish_reason = '' + + response = api_v1.ConversationStreamResponse() + response.chunk.CopyFrom(chunk) + yield response + + # Then simulate streaming tool calling behavior + for tool in tools: + # Handle both new flat structure and legacy nested structure + tool_name = tool.name if hasattr(tool, 'name') else tool.function.name + + if tool_name == 'get_weather': + # Stream tool call incrementally + part = api_v1.ContentPart() + part.tool_call.id = 'call_123' + part.tool_call.type = 'function' + part.tool_call.name = 'get_weather' + part.tool_call.arguments = '{"location"' + + chunk = api_v1.ConversationStreamChunk() + chunk.parts.append(part) + chunk.finish_reason = '' + + response = api_v1.ConversationStreamResponse() + response.chunk.CopyFrom(chunk) + yield response + + # Complete the tool call + part_complete = api_v1.ContentPart() + part_complete.tool_call.id = 'call_123' + part_complete.tool_call.type = 'function' + part_complete.tool_call.name = 'get_weather' + part_complete.tool_call.arguments = '{"location": "San Francisco", "unit": "fahrenheit"}' + + chunk_complete = api_v1.ConversationStreamChunk() + chunk_complete.parts.append(part_complete) + chunk_complete.finish_reason = 'tool_calls' + + response_complete = api_v1.ConversationStreamResponse() + response_complete.chunk.CopyFrom(chunk_complete) + yield response_complete + elif tool_name == 'calculate': + # Stream tool call incrementally + part_calc = api_v1.ContentPart() + part_calc.tool_call.id = 'call_456' + part_calc.tool_call.type = 'function' + part_calc.tool_call.name = 'calculate' + part_calc.tool_call.arguments = '{"expression": "15 * 23"}' + + chunk_calc = api_v1.ConversationStreamChunk() + chunk_calc.parts.append(part_calc) + chunk_calc.finish_reason = 'tool_calls' + + response_calc = api_v1.ConversationStreamResponse() + response_calc.chunk.CopyFrom(chunk_calc) + yield response_calc + else: + # Extract content from input + content = input.content if input.content else "" + if input.parts: + for part in input.parts: + if part.HasField('text'): + content = part.text.text + break + + # Regular streaming response + response_text = f'Response to: {content}' + for chunk_text in response_text.split(' '): + chunk = api_v1.ConversationStreamChunk() + # Create text content part instead of deprecated content field + part = api_v1.ContentPart() + part.text.text = chunk_text + ' ' + chunk.parts.append(part) + chunk.finish_reason = '' + + response = api_v1.ConversationStreamResponse() + response.chunk.CopyFrom(chunk) + yield response + else: + # Extract content from input + content = input.content if input.content else "" + if input.parts: + for part in input.parts: + if part.HasField('text'): + content = part.text.text + break + + # Regular streaming response + response_text = f'Response to: {content}' + for chunk_text in response_text.split(' '): + chunk = api_v1.ConversationStreamChunk() + # Create text content part instead of deprecated content field + part = api_v1.ContentPart() + part.text.text = chunk_text + ' ' + chunk.parts.append(part) + chunk.finish_reason = '' + + response = api_v1.ConversationStreamResponse() + response.chunk.CopyFrom(chunk) + yield response + + # Final chunk with context and usage + usage = api_v1.ConversationUsage() + usage.prompt_tokens = 10 + usage.completion_tokens = 20 + usage.total_tokens = 30 + + complete = api_v1.ConversationStreamComplete() + complete.contextID = request.contextID or 'mock-context-123' + complete.usage.CopyFrom(usage) + + response = api_v1.ConversationStreamResponse() + response.complete.CopyFrom(complete) + yield response def SetMetadata(self, request: SetMetadataRequest, context): self.metadata[request.key] = request.value diff --git a/tests/clients/test_conversation.py b/tests/clients/test_conversation.py new file mode 100644 index 000000000..4dac55f2b --- /dev/null +++ b/tests/clients/test_conversation.py @@ -0,0 +1,1280 @@ +#!/usr/bin/env python3 + +""" +Comprehensive tests for Dapr conversation API functionality. + +This test suite covers: +- Basic conversation API +- Streaming conversation API +- Tool calling functionality +- NEW: Content parts-based architecture +- Error handling +- Both sync and async implementations +- Backward compatibility +""" + +import asyncio +import json +import unittest + +from google.rpc import code_pb2, status_pb2 + +from dapr.aio.clients import DaprClient as AsyncDaprClient +from dapr.clients import DaprClient +from dapr.clients.exceptions import DaprGrpcError +from dapr.clients.grpc._request import ( + ContentPart, + ConversationInput, + TextContent, + Tool, + ToolCallContent, + ToolResultContent, +) +from tests.clients.fake_dapr_server import FakeDaprSidecar + + +class ConversationTestBase: + """Base class for conversation tests with common setup.""" + + grpc_port = 50001 + http_port = 3500 + scheme = '' + + @classmethod + def setUpClass(cls): + cls._fake_dapr_server = FakeDaprSidecar(grpc_port=cls.grpc_port, http_port=cls.http_port) + cls._fake_dapr_server.start() + + @classmethod + def tearDownClass(cls): + cls._fake_dapr_server.stop() + + def create_weather_tool(self): + """Create a weather tool for testing (new simplified structure).""" + return Tool( + type='function', + name='get_weather', + description='Get weather information for a location', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': { + 'type': 'string', + 'description': 'The city and state, e.g. San Francisco, CA' + }, + 'unit': { + 'type': 'string', + 'enum': ['celsius', 'fahrenheit'], + 'description': 'Temperature unit' + } + }, + 'required': ['location'] + }) + ) + + def create_weather_tool_legacy(self): + """Create a weather tool for testing (legacy structure).""" + return Tool( + type='function', + function=ToolFunction( + name='get_weather', + description='Get weather information for a location', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': { + 'type': 'string', + 'description': 'The city and state, e.g. San Francisco, CA' + }, + 'unit': { + 'type': 'string', + 'enum': ['celsius', 'fahrenheit'], + 'description': 'Temperature unit' + } + }, + 'required': ['location'] + }) + ) + ) + + def create_calculate_tool(self): + """Create a calculate tool for testing (new simplified structure).""" + return Tool( + type='function', + name='calculate', + description='Perform mathematical calculations', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'expression': { + 'type': 'string', + 'description': 'Mathematical expression to evaluate' + } + }, + 'required': ['expression'] + }) + ) + + +class ConversationSyncTests(ConversationTestBase, unittest.TestCase): + """Synchronous conversation API tests.""" + + def test_basic_conversation(self): + """Test basic conversation functionality.""" + with DaprClient() as client: + inputs = [ + ConversationInput(content='Hello', role='user'), + ConversationInput(content='How are you?', role='user'), + ] + + response = client.converse_alpha1(name='test-llm', inputs=inputs) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 2) + self.assertIn('Hello', response.outputs[0].result) + self.assertIn('How are you?', response.outputs[1].result) + self.assertIsNotNone(response.context_id) + self.assertIsNotNone(response.usage) + + def test_conversation_with_options(self): + """Test conversation with various options.""" + with DaprClient() as client: + inputs = [ConversationInput(content='Hello with options', role='user', scrub_pii=True)] + + response = client.converse_alpha1( + name='test-llm', + inputs=inputs, + context_id='test-context-123', + temperature=0.7, + scrub_pii=True, + metadata={'test_key': 'test_value'} + ) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + self.assertEqual(response.context_id, 'test-context-123') + + def test_tool_calling_weather(self): + """Test tool calling with weather tool.""" + with DaprClient() as client: + weather_tool = self.create_weather_tool() + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='What is the weather in San Francisco?')) + ] + )] + + response = client.converse_alpha1(name='test-llm', inputs=inputs, tools=[weather_tool]) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + output = response.outputs[0] + tool_calls = output.get_tool_calls() + self.assertIsNotNone(tool_calls) + self.assertEqual(len(tool_calls), 1) + + tool_call = tool_calls[0] + self.assertEqual(tool_call.name, 'get_weather') + self.assertEqual(tool_call.type, 'function') + self.assertIn('San Francisco', tool_call.arguments) + self.assertEqual(output.finish_reason, 'tool_calls') + + def test_tool_calling_calculate(self): + """Test tool calling with calculate tool.""" + with DaprClient() as client: + calc_tool = self.create_calculate_tool() + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='Calculate 15 * 23')) + ] + )] + + response = client.converse_alpha1(name='test-llm', inputs=inputs, tools=[calc_tool]) + + self.assertIsNotNone(response) + output = response.outputs[0] + tool_calls = output.get_tool_calls() + self.assertIsNotNone(tool_calls) + self.assertTrue(len(tool_calls) > 0) + + tool_call = tool_calls[0] + self.assertEqual(tool_call.name, 'calculate') + self.assertIn('15 * 23', tool_call.arguments) + + def test_tool_result_input(self): + """Test sending tool result back to LLM.""" + with DaprClient() as client: + tool_result = ToolResultContent( + tool_call_id='call_123', + name='get_weather', + content='{"temperature": 72, "condition": "sunny", "humidity": 65}' + ) + inputs = [ConversationInput.from_tool_result_simple( + tool_name=tool_result.name, + call_id=tool_result.tool_call_id, + result=tool_result.content + )] + + response = client.converse_alpha1(name='test-llm', inputs=inputs) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + self.assertIn('tool result', response.outputs[0].result) + self.assertEqual(response.outputs[0].finish_reason, 'stop') + + def test_multiple_tools(self): + """Test conversation with multiple tools.""" + with DaprClient() as client: + weather_tool = self.create_weather_tool() + calc_tool = self.create_calculate_tool() + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='I need both weather and calculation')) + ] + )] + + response = client.converse_alpha1(name='test-llm', inputs=inputs, + tools=[weather_tool, calc_tool]) + + self.assertIsNotNone(response) + # The fake server will only call the first matching tool + output = response.outputs[0] + self.assertIsNotNone(output.parts) + # Check for tool calls in parts + tool_call_found = False + for part in output.parts: + if part.tool_call: + tool_call_found = True + break + self.assertTrue(tool_call_found) + + def test_streaming_basic(self): + """Test basic streaming conversation.""" + with DaprClient() as client: + inputs = [ConversationInput(content='Hello streaming world!', role='user')] + + chunks = [] + context_id = None + usage = None + + for response in client.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id='stream-test-123' + ): + if response.chunk: + # Extract text from chunk parts or fallback to deprecated content + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + + if response.complete: + context_id = response.complete.context_id + usage = response.complete.usage + + self.assertGreater(len(chunks), 0) + full_response = ''.join(chunks) + self.assertIn('Hello streaming world!', full_response) + self.assertEqual(context_id, 'stream-test-123') + self.assertIsNotNone(usage) + + def test_streaming_with_tools(self): + """Test streaming conversation with tool calling.""" + with DaprClient() as client: + weather_tool = self.create_weather_tool() + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='Stream me the weather please')) + ] + )] + + tool_calls_found = False + chunks = [] + + for response in client.converse_stream_alpha1(name='test-llm', inputs=inputs, + tools=[weather_tool]): + if response.chunk: + # Check for tool calls in chunk parts + if response.chunk.parts: + for part in response.chunk.parts: + if part.tool_call: + tool_calls_found = True + self.assertEqual(part.tool_call.name, 'get_weather') + elif part.text: + chunks.append(part.text.text) + + self.assertTrue(tool_calls_found) + + def test_streaming_outputs_functionality(self): + """Test new streaming outputs functionality with tool calls.""" + with DaprClient() as client: + weather_tool = self.create_weather_tool() + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='Stream me the weather with outputs')) + ] + )] + + tool_calls_found = False + complete_response = None + + for response in client.converse_stream_alpha1(name='test-llm', inputs=inputs, + tools=[weather_tool]): + if response.chunk: + # Check for tool calls in streaming chunks + if response.chunk.parts: + for part in response.chunk.parts: + if part.tool_call: + tool_calls_found = True + self.assertEqual(part.tool_call.name, 'get_weather') + + if response.complete: + complete_response = response.complete + + # Verify we got tool calls during streaming (which is what outputs functionality is about) + self.assertTrue(tool_calls_found) + + # Verify complete response exists + self.assertIsNotNone(complete_response) + + # Check if outputs field exists (it may be None if no tool calls) + # The outputs field should be available even if empty + if hasattr(complete_response, 'outputs'): + self.assertIsInstance(complete_response.outputs, (list, type(None))) + + def test_conversation_stream_complete_outputs(self): + """Test the new ConversationStreamComplete outputs field functionality.""" + from dapr.clients.grpc._response import ( + ConversationResult, + ConversationStreamComplete, + ConversationUsage, + ) + + # Test creating a ConversationStreamComplete with outputs + usage = ConversationUsage(prompt_tokens=10, completion_tokens=20, total_tokens=30) + + # Create some mock outputs (tool calls that would be accumulated) + outputs = [ + ConversationResult( + result="Tool call result 1", + finish_reason="tool_calls" + ), + ConversationResult( + result="Tool call result 2", + finish_reason="stop" + ) + ] + + complete = ConversationStreamComplete( + context_id="test-context", + usage=usage, + outputs=outputs + ) + + # Verify the outputs field exists and works + self.assertEqual(complete.context_id, "test-context") + self.assertIsNotNone(complete.usage) + self.assertIsNotNone(complete.outputs) + self.assertEqual(len(complete.outputs), 2) + self.assertEqual(complete.outputs[0].result, "Tool call result 1") + self.assertEqual(complete.outputs[1].finish_reason, "stop") + + def test_streaming_with_options(self): + """Test streaming with various options.""" + with DaprClient() as client: + inputs = [ConversationInput(content='Stream with options', role='user', scrub_pii=True)] + + chunks = [] + for response in client.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id='options-stream-test', + temperature=0.8, + scrub_pii=True, + metadata={'stream_test': 'true'} + ): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + + self.assertGreater(len(chunks), 0) + + def test_conversation_error_handling(self): + """Test conversation error handling.""" + # Test with fake server error + self._fake_dapr_server.raise_exception_on_next_call( + status_pb2.Status(code=code_pb2.INVALID_ARGUMENT, message='Test error') + ) + + with DaprClient() as client: + inputs = [ConversationInput(content='Error test', role='user')] + + with self.assertRaises(DaprGrpcError) as context: + client.converse_alpha1(name='test-llm', inputs=inputs) + self.assertIn('Test error', str(context.exception)) + + def test_streaming_error_handling(self): + """Test streaming conversation error handling.""" + self._fake_dapr_server.raise_exception_on_next_call( + status_pb2.Status(code=code_pb2.INVALID_ARGUMENT, message='Stream test error') + ) + + with DaprClient() as client: + inputs = [ConversationInput(content='Stream error test', role='user')] + + with self.assertRaises(DaprGrpcError) as context: + list(client.converse_stream_alpha1(name='test-llm', inputs=inputs)) + self.assertIn('Stream test error', str(context.exception)) + + def test_empty_inputs_validation(self): + """Test validation with empty inputs.""" + with DaprClient() as client: + # The client doesn't actually validate empty inputs, + # it will send the request to the server which should handle it + response = client.converse_alpha1(name='test-llm', inputs=[]) + self.assertIsNotNone(response) + + # For streaming, empty inputs will just result in no chunks + chunks = list(client.converse_stream_alpha1(name='test-llm', inputs=[])) + # Should get at least the completion chunk + self.assertGreaterEqual(len(chunks), 1) + + +class ConversationAsyncTests(ConversationTestBase, unittest.IsolatedAsyncioTestCase): + """Asynchronous conversation API tests.""" + + async def test_basic_async_conversation(self): + """Test basic async conversation functionality.""" + async with AsyncDaprClient() as client: + inputs = [ + ConversationInput(content='Hello async', role='user'), + ConversationInput(content='How are you async?', role='user'), + ] + + response = await client.converse_alpha1(name='test-llm', inputs=inputs) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 2) + self.assertIn('Hello async', response.outputs[0].result) + self.assertIn('How are you async?', response.outputs[1].result) + + async def test_async_conversation_with_options(self): + """Test async conversation with various options.""" + async with AsyncDaprClient() as client: + inputs = [ConversationInput(content='Async with options', role='user')] + + response = await client.converse_alpha1( + name='test-llm', + inputs=inputs, + context_id='async-context-123', + temperature=0.9, + scrub_pii=False, + metadata={'async_test': 'true'} + ) + + self.assertIsNotNone(response) + self.assertEqual(response.context_id, 'async-context-123') + + async def test_async_tool_calling(self): + """Test async tool calling.""" + async with AsyncDaprClient() as client: + weather_tool = self.create_weather_tool() + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='Async weather request for Tokyo')) + ] + )] + + response = await client.converse_alpha1(name='test-llm', inputs=inputs, + tools=[weather_tool]) + + self.assertIsNotNone(response) + output = response.outputs[0] + tool_calls = output.get_tool_calls() + self.assertIsNotNone(tool_calls) + self.assertTrue(len(tool_calls) > 0) + + tool_call = tool_calls[0] + self.assertEqual(tool_call.name, 'get_weather') + self.assertEqual(output.finish_reason, 'tool_calls') + + async def test_async_streaming_basic(self): + """Test basic async streaming conversation.""" + async with AsyncDaprClient() as client: + inputs = [ConversationInput(content='Hello async streaming!', role='user')] + + chunks = [] + context_id = None + usage = None + + async for response in client.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id='async-stream-123' + ): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + + if response.complete: + context_id = response.complete.context_id + usage = response.complete.usage + + self.assertGreater(len(chunks), 0) + full_response = ''.join(chunks) + self.assertIn('Hello async streaming!', full_response) + self.assertEqual(context_id, 'async-stream-123') + self.assertIsNotNone(usage) + + async def test_async_streaming_with_tools(self): + """Test async streaming with tool calling.""" + async with AsyncDaprClient() as client: + calc_tool = self.create_calculate_tool() + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='Async calculate 42 + 58')) + ] + )] + + tool_calls_found = False + async for response in client.converse_stream_alpha1(name='test-llm', inputs=inputs, + tools=[calc_tool]): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.tool_call: + tool_calls_found = True + self.assertEqual(part.tool_call.name, 'calculate') + + self.assertTrue(tool_calls_found) + + async def test_concurrent_async_conversations(self): + """Test multiple concurrent async conversations.""" + async with AsyncDaprClient() as client: + async def run_conversation(message, session_id): + inputs = [ConversationInput(content=message, role='user')] + response = await client.converse_alpha1( + name='test-llm', + inputs=inputs, + context_id=session_id + ) + return response.outputs[0].result + + # Run 3 conversations concurrently + tasks = [ + run_conversation('First concurrent message', 'concurrent-1'), + run_conversation('Second concurrent message', 'concurrent-2'), + run_conversation('Third concurrent message', 'concurrent-3'), + ] + + results = await asyncio.gather(*tasks) + + self.assertEqual(len(results), 3) + for i, result in enumerate(results, 1): + expected_words = ['First', 'Second', 'Third'][i-1] + self.assertIn(expected_words, result) + + async def test_concurrent_async_streaming(self): + """Test multiple concurrent async streaming conversations.""" + async with AsyncDaprClient() as client: + async def stream_conversation(message, session_id): + inputs = [ConversationInput(content=message, role='user')] + chunks = [] + async for response in client.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id=session_id + ): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + return ''.join(chunks) + + # Run 3 streaming conversations concurrently + tasks = [ + stream_conversation('Stream one', 'stream-1'), + stream_conversation('Stream two', 'stream-2'), + stream_conversation('Stream three', 'stream-3'), + ] + + results = await asyncio.gather(*tasks) + + self.assertEqual(len(results), 3) + for result in results: + self.assertIn('Stream', result) + + async def test_async_error_handling(self): + """Test async conversation error handling.""" + self._fake_dapr_server.raise_exception_on_next_call( + status_pb2.Status(code=code_pb2.INVALID_ARGUMENT, message='Async test error') + ) + + async with AsyncDaprClient() as client: + inputs = [ConversationInput(content='Async error test', role='user')] + + with self.assertRaises(DaprGrpcError) as context: + await client.converse_alpha1(name='test-llm', inputs=inputs) + self.assertIn('Async test error', str(context.exception)) + + async def test_async_streaming_error_handling(self): + """Test async streaming error handling.""" + self._fake_dapr_server.raise_exception_on_next_call( + status_pb2.Status(code=code_pb2.INVALID_ARGUMENT, message='Async stream error') + ) + + async with AsyncDaprClient() as client: + inputs = [ConversationInput(content='Async stream error test', role='user')] + + with self.assertRaises(DaprGrpcError) as context: + chunks = [] + async for response in client.converse_stream_alpha1(name='test-llm', inputs=inputs): + chunks.append(response) + self.assertIn('Async stream error', str(context.exception)) + + +class ConversationToolCallWorkflowTests(ConversationTestBase, unittest.TestCase): + """Tests for complete tool calling workflows.""" + + def test_complete_tool_calling_workflow(self): + """Test a complete tool calling workflow: request -> tool call -> tool result -> final response.""" + with DaprClient() as client: + # Step 1: Send initial request with tools + weather_tool = self.create_weather_tool() + + initial_inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='What is the weather in San Francisco?')) + ] + )] + + response1 = client.converse_alpha1(name='test-llm', inputs=initial_inputs, + tools=[weather_tool]) + + # Verify tool call was made + output = response1.outputs[0] + tool_calls = output.get_tool_calls() # Use helper method for backward compatibility + self.assertIsNotNone(tool_calls) + self.assertTrue(len(tool_calls) > 0) + tool_call = tool_calls[0] + self.assertEqual(tool_call.name, 'get_weather') + + # Step 2: Send tool result back + tool_result = ToolResultContent( + tool_call_id=tool_call.id, + name='get_weather', + content='{"temperature": 68, "condition": "partly cloudy", "humidity": 72}' + ) + tool_result_inputs = [ConversationInput.from_tool_result_simple( + tool_name=tool_result.name, + call_id=tool_result.tool_call_id, + result=tool_result.content + )] + + response2 = client.converse_alpha1(name='test-llm', inputs=tool_result_inputs) + + # Verify final response + self.assertIsNotNone(response2.outputs[0].result) + self.assertIn('tool result', response2.outputs[0].result) + self.assertEqual(response2.outputs[0].finish_reason, 'stop') + + def test_streaming_tool_calling_workflow(self): # noqa: C901 + """Test a complete streaming tool calling workflow.""" + with DaprClient() as client: + # Step 1: Stream initial request with tools + calc_tool = self.create_calculate_tool() + + initial_inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='Calculate the result of 25 * 4')) + ] + )] + + tool_call_id = None + tool_calls_found = False + + for response in client.converse_stream_alpha1( + name='test-llm', inputs=initial_inputs, tools=[calc_tool]): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.tool_call: + tool_calls_found = True + tool_call_id = part.tool_call.id + self.assertEqual(part.tool_call.name, 'calculate') + + self.assertTrue(tool_calls_found) + self.assertIsNotNone(tool_call_id) + + # Step 2: Stream tool result back + tool_result = ToolResultContent( + tool_call_id=tool_call_id, + name='calculate', + content='{"result": 100}' + ) + tool_result_inputs = [ConversationInput.from_tool_result_simple( + tool_name=tool_result.name, + call_id=tool_result.tool_call_id, + result=tool_result.content + )] + + final_chunks = [] + for response in client.converse_stream_alpha1(name='test-llm', + inputs=tool_result_inputs, + tools=[calc_tool]): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + final_chunks.append(part.text.text) + + final_response = ''.join(final_chunks) + self.assertIn('tool result', final_response) + + +class ConversationContentPartsTests(ConversationTestBase, unittest.TestCase): + """Tests for the new content parts-based architecture.""" + + def test_text_content_part(self): + """Test creating conversation input with text content part.""" + with DaprClient() as client: + text_input = ConversationInput.from_text("Hello world", role="user") + + self.assertEqual(text_input.role, "user") + self.assertIsNotNone(text_input.parts) + self.assertEqual(len(text_input.parts), 1) + self.assertIsNotNone(text_input.parts[0].text) + self.assertEqual(text_input.parts[0].text.text, "Hello world") + + response = client.converse_alpha1(name='test-llm', inputs=[text_input]) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + def test_tool_definitions_content_part(self): + """Test that tools are now passed at request level, not as content parts.""" + with DaprClient() as client: + weather_tool = self.create_weather_tool() + calc_tool = self.create_calculate_tool() + + # Tools are now passed at the request level + inputs = [ConversationInput.from_text("Tell me about tools", role="user")] + + # This should work - tools passed to the API call + response = client.converse_alpha1(name='test-llm', inputs=inputs, + tools=[weather_tool, calc_tool]) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + def test_tool_call_content_part(self): + """Test creating conversation input with tool call content part (new flat structure).""" + tool_call = ToolCallContent( + id="call_123", + type="function", + name="get_weather", + arguments='{"location": "San Francisco", "unit": "celsius"}' + ) + + assistant_input = ConversationInput.from_tool_call(tool_call) + + self.assertEqual(assistant_input.role, "assistant") + self.assertIsNotNone(assistant_input.parts) + self.assertEqual(len(assistant_input.parts), 1) + self.assertIsNotNone(assistant_input.parts[0].tool_call) + self.assertEqual(assistant_input.parts[0].tool_call.id, "call_123") + self.assertEqual(assistant_input.parts[0].tool_call.name, "get_weather") + + def test_tool_call_content_flat_structure(self): + """Test that ToolCallContent supports the new flat structure matching protobuf.""" + # Test the flat structure that matches the actual protobuf + from dapr.clients.grpc._response import ToolCallContent as ResponseToolCallContent + + # This should work with the flat structure + tool_call = ResponseToolCallContent( + id="call_456", + type="function", + name="calculate", + arguments='{"expression": "10 + 5"}' + ) + + self.assertEqual(tool_call.id, "call_456") + self.assertEqual(tool_call.type, "function") + self.assertEqual(tool_call.name, "calculate") + self.assertEqual(tool_call.arguments, '{"expression": "10 + 5"}') + + # Test that the flat structure works correctly + # This is the expected flat structure instead of nested function.name/function.arguments + self.assertIsInstance(tool_call.name, str) + self.assertIsInstance(tool_call.arguments, str) + + def test_tool_result_content_part(self): + """Test creating conversation input with tool result content part.""" + tool_result = ToolResultContent( + tool_call_id="call_123", + name="get_weather", + content='{"temperature": 22, "condition": "sunny"}' + ) + + result_input = ConversationInput.from_tool_result_simple( + tool_name=tool_result.name, + call_id=tool_result.tool_call_id, + result=tool_result.content + ) + + self.assertEqual(result_input.role, "tool") + self.assertIsNotNone(result_input.parts) + self.assertEqual(len(result_input.parts), 1) + self.assertIsNotNone(result_input.parts[0].tool_result) + self.assertEqual(result_input.parts[0].tool_result.tool_call_id, "call_123") + self.assertEqual(result_input.parts[0].tool_result.name, "get_weather") + + def test_mixed_content_parts(self): + """Test conversation input with multiple content parts (text only now).""" + # With the new architecture, tools are passed at request level + # Content parts now only contain text, tool calls, and tool results + + mixed_input = ConversationInput( + role="user", + parts=[ + ContentPart(text=TextContent(text="What's the weather in Paris?")) + ] + ) + + self.assertEqual(mixed_input.role, "user") + self.assertEqual(len(mixed_input.parts), 1) + self.assertIsNotNone(mixed_input.parts[0].text) + + def test_multi_turn_tool_calling_workflow(self): + """Test complete multi-turn tool calling workflow with content parts.""" + with DaprClient() as client: + # Step 1: User message with tools passed at request level + weather_tool = self.create_weather_tool() + user_input = ConversationInput( + role="user", + parts=[ + ContentPart(text=TextContent(text="What's the weather in Tokyo?")) + ] + ) + + response = client.converse_alpha1(name='test-llm', inputs=[user_input], + tools=[weather_tool]) + + # Should get tool calls back + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + # Extract tool calls from response parts + tool_calls = [] + for output in response.outputs: + if output.parts: + for part in output.parts: + if part.tool_call: + tool_calls.append(part.tool_call) + + # Fallback to old structure + if not tool_calls: + tool_calls = output.get_tool_calls() + + self.assertTrue(len(tool_calls) > 0) + + # Step 2: Create assistant message with tool calls + assistant_input = ConversationInput( + role="assistant", + parts=[ContentPart(tool_call=tool_call) for tool_call in tool_calls] + ) + + # Step 3: Create tool result messages + tool_result_inputs = [] + for tool_call in tool_calls: + tool_result_inputs.append(ConversationInput.from_tool_result_simple( + tool_name=tool_call.name, + call_id=tool_call.id, + result='{"temperature": 18, "condition": "cloudy", "humidity": 75}' + )) + + # Step 4: Complete conversation with history + conversation_history = [user_input, assistant_input] + tool_result_inputs + + final_response = client.converse_alpha1(name='test-llm', inputs=conversation_history) + + self.assertIsNotNone(final_response) + self.assertEqual(len(final_response.outputs), len(conversation_history)) + + def test_backward_compatibility_with_content_parts(self): + """Test that old-style inputs still work with new content parts system.""" + with DaprClient() as client: + # Old style input + old_input = ConversationInput(content="Hello", role="user") + + # New style input + new_input = ConversationInput.from_text("Hello", role="user") + + # Both should work + old_response = client.converse_alpha1(name='test-llm', inputs=[old_input]) + new_response = client.converse_alpha1(name='test-llm', inputs=[new_input]) + + self.assertIsNotNone(old_response) + self.assertIsNotNone(new_response) + self.assertEqual(len(old_response.outputs), 1) + self.assertEqual(len(new_response.outputs), 1) + + def test_response_content_parts_extraction(self): + """Test extracting content from response parts.""" + with DaprClient() as client: + weather_tool = self.create_weather_tool() + + inputs = [ConversationInput( + role="user", + parts=[ + ContentPart(text=TextContent(text="What's the weather?")) + ] + )] + + response = client.converse_alpha1(name='test-llm', inputs=inputs, tools=[weather_tool]) + + for output in response.outputs: + # Test helper methods + text = output.get_text() + tool_calls = output.get_tool_calls() + + # Should get either text or tool calls + self.assertTrue(text is not None or len(tool_calls) > 0) + + +class ConversationContentPartsAsyncTests(ConversationTestBase, unittest.IsolatedAsyncioTestCase): + """Async tests for the new content parts-based architecture.""" + + async def test_async_text_content_part(self): + """Test async conversation with text content part.""" + async with AsyncDaprClient() as client: + text_input = ConversationInput.from_text("Hello async world", role="user") + + response = await client.converse_alpha1(name='test-llm', inputs=[text_input]) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + async def test_async_multi_turn_tool_calling(self): + """Test async multi-turn tool calling with content parts.""" + async with AsyncDaprClient() as client: + calc_tool = self.create_calculate_tool() + + # User message with tools passed at request level + user_input = ConversationInput( + role="user", + parts=[ + ContentPart(text=TextContent(text="Calculate 42 * 7")) + ] + ) + + response = await client.converse_alpha1(name='test-llm', inputs=[user_input], + tools=[calc_tool]) + + # Extract tool calls + tool_calls = [] + for output in response.outputs: + if output.parts: + for part in output.parts: + if part.tool_call: + tool_calls.append(part.tool_call) + if not tool_calls: + tool_calls = output.get_tool_calls() + + if tool_calls: + # Create assistant message with tool calls + assistant_input = ConversationInput.from_tool_call(tool_calls[0]) + + # Create tool result + tool_result = ToolResultContent( + tool_call_id=tool_calls[0].id, + name=tool_calls[0].name, + content="294" + ) + result_input = ConversationInput.from_tool_result_simple( + tool_name=tool_result.name, + call_id=tool_result.tool_call_id, + result=tool_result.content + ) + + # Complete conversation + final_response = await client.converse_alpha1( + name='test-llm', + inputs=[user_input, assistant_input, result_input] + ) + + self.assertIsNotNone(final_response) + + async def test_async_streaming_with_content_parts(self): + """Test async streaming with content parts.""" + async with AsyncDaprClient() as client: + text_input = ConversationInput.from_text("Tell me a story", role="user") + + chunks = [] + async for response in client.converse_stream_alpha1(name='test-llm', + inputs=[text_input]): + chunks.append(response) + + self.assertTrue(len(chunks) > 0) + + +class ConversationParameterConversionTests(ConversationTestBase, unittest.TestCase): + """Tests for automatic parameter conversion in conversation API.""" + + def test_parameter_conversion_sync_basic(self): + """Test basic parameter conversion with sync client.""" + with DaprClient() as client: + inputs = [ConversationInput(content='Test with parameters', role='user')] + + # Test with raw Python parameters - should not raise protobuf errors + response = client.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "tool_choice": "auto", + "temperature": 0.7, + "max_tokens": 1000, + "stream": False, + "top_p": 0.9, + "frequency_penalty": 0.0, + "presence_penalty": 0.0, + } + ) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + def test_parameter_conversion_sync_streaming(self): + """Test parameter conversion with sync streaming.""" + with DaprClient() as client: + inputs = [ConversationInput(content='Stream with parameters', role='user')] + + chunks = [] + for response in client.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "tool_choice": "auto", + "temperature": 0.8, + "max_tokens": 500, + "stream": True, + } + ): + chunks.append(response) + if len(chunks) >= 3: # Limit for test performance + break + + self.assertTrue(len(chunks) > 0) + + def test_parameter_conversion_backward_compatibility(self): + """Test that pre-wrapped protobuf parameters still work.""" + from google.protobuf.any_pb2 import Any as GrpcAny + from google.protobuf.wrappers_pb2 import StringValue + + # Create pre-wrapped parameter (old way) + pre_wrapped_any = GrpcAny() + pre_wrapped_any.Pack(StringValue(value="auto")) + + with DaprClient() as client: + inputs = [ConversationInput(content='Backward compatibility test', role='user')] + + # Mix of old (pre-wrapped) and new (raw) parameters + response = client.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "tool_choice": pre_wrapped_any, # Old way (pre-wrapped) + "temperature": 0.8, # New way (raw value) + "max_tokens": 500, # New way (raw value) + } + ) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + def test_parameter_conversion_realistic_openai(self): + """Test with realistic OpenAI-style parameters.""" + with DaprClient() as client: + inputs = [ConversationInput(content='OpenAI style test', role='user')] + + response = client.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "model": "gpt-4o-mini", + "temperature": 0.7, + "max_tokens": 1000, + "top_p": 1.0, + "frequency_penalty": 0.0, + "presence_penalty": 0.0, + "stream": False, + "tool_choice": "auto", + } + ) + + self.assertIsNotNone(response) + + def test_parameter_conversion_realistic_anthropic(self): + """Test with realistic Anthropic-style parameters.""" + with DaprClient() as client: + inputs = [ConversationInput(content='Anthropic style test', role='user')] + + response = client.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "model": "claude-3-5-sonnet-20241022", + "max_tokens": 4096, + "temperature": 0.8, + "top_p": 0.9, + "top_k": 250, + "stream": False, + } + ) + + self.assertIsNotNone(response) + + def test_parameter_conversion_edge_cases(self): + """Test parameter conversion with edge cases.""" + with DaprClient() as client: + inputs = [ConversationInput(content='Edge cases test', role='user')] + + response = client.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "int32_max": 2147483647, # Int32 maximum + "int64_large": 9999999999, # Requires Int64 + "negative_temp": -0.5, # Negative float + "zero_value": 0, # Zero integer + "false_flag": False, # Boolean false + "true_flag": True, # Boolean true + "empty_string": "", # Empty string + } + ) + + self.assertIsNotNone(response) + + +class ConversationParameterConversionAsyncTests(ConversationTestBase, + unittest.IsolatedAsyncioTestCase): + """Async tests for parameter conversion functionality.""" + + async def test_parameter_conversion_async_basic(self): + """Test basic parameter conversion with async client.""" + async with AsyncDaprClient() as client: + inputs = [ConversationInput(content='Async test with parameters', role='user')] + + response = await client.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "tool_choice": "auto", + "temperature": 0.7, + "max_tokens": 1000, + "stream": False, + "top_p": 0.9, + } + ) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + async def test_parameter_conversion_async_streaming(self): + """Test parameter conversion with async streaming.""" + async with AsyncDaprClient() as client: + inputs = [ConversationInput(content='Async stream with parameters', role='user')] + + chunks = [] + async for response in client.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "tool_choice": "auto", + "temperature": 0.8, + "stream": True, + } + ): + chunks.append(response) + if len(chunks) >= 3: # Limit for test performance + break + + self.assertTrue(len(chunks) > 0) + + async def test_parameter_conversion_async_json_streaming(self): + """Test parameter conversion with async JSON streaming.""" + async with AsyncDaprClient() as client: + inputs = [ConversationInput(content='JSON stream test', role='user')] + + chunks = [] + async for chunk_dict in client.converse_stream_json( + name='test-llm', + inputs=inputs, + parameters={ + "temperature": 0.9, + "max_tokens": 100, + "stream": True, + } + ): + chunks.append(chunk_dict) + if len(chunks) >= 2: # Limit for test performance + break + + self.assertTrue(len(chunks) > 0) + # Verify JSON structure + for chunk in chunks: + self.assertIsInstance(chunk, dict) + self.assertIn('choices', chunk) + + async def test_parameter_conversion_async_concurrent(self): + """Test parameter conversion with concurrent async requests.""" + async with AsyncDaprClient() as client: + + async def make_request(message, params): + inputs = [ConversationInput(content=message, role='user')] + return await client.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters=params + ) + + # Run multiple concurrent requests with different parameters + tasks = [ + make_request("Test 1", {"temperature": 0.1, "max_tokens": 100}), + make_request("Test 2", {"temperature": 0.5, "max_tokens": 200}), + make_request("Test 3", {"temperature": 0.9, "max_tokens": 300}), + ] + + responses = await asyncio.gather(*tasks) + + # All should succeed + for response in responses: + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + +if __name__ == '__main__': + unittest.main() diff --git a/tests/clients/test_dapr_grpc_client.py b/tests/clients/test_dapr_grpc_client.py index f838f5c68..4d1c2f198 100644 --- a/tests/clients/test_dapr_grpc_client.py +++ b/tests/clients/test_dapr_grpc_client.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - """ Copyright 2021 The Dapr Authors Licensed under the Apache License, Version 2.0 (the "License"); @@ -13,41 +11,44 @@ limitations under the License. """ +import asyncio import json import socket import tempfile import time import unittest import uuid -import asyncio - from unittest.mock import patch -from google.rpc import status_pb2, code_pb2 +from google.rpc import code_pb2, status_pb2 -from dapr.clients.exceptions import DaprGrpcError -from dapr.clients.grpc.client import DaprGrpcClient from dapr.clients import DaprClient -from dapr.clients.grpc.subscription import StreamInactiveError -from dapr.proto import common_v1 -from .fake_dapr_server import FakeDaprSidecar -from dapr.conf import settings +from dapr.clients.exceptions import DaprGrpcError +from dapr.clients.grpc._crypto import DecryptOptions, EncryptOptions from dapr.clients.grpc._helpers import to_bytes from dapr.clients.grpc._request import ( + ContentPart, + ConversationInput, + TextContent, + Tool, TransactionalStateOperation, TransactionOperationType, - ConversationInput, ) -from dapr.clients.grpc._state import StateOptions, Consistency, Concurrency, StateItem -from dapr.clients.grpc._crypto import EncryptOptions, DecryptOptions from dapr.clients.grpc._response import ( ConfigurationItem, ConfigurationResponse, ConfigurationWatcher, + TopicEventResponse, UnlockResponseStatus, WorkflowRuntimeStatus, - TopicEventResponse, ) +from dapr.clients.grpc._state import Concurrency, Consistency, StateItem, StateOptions +from dapr.clients.grpc.client import DaprGrpcClient +from dapr.clients.grpc.subscription import StreamInactiveError +from dapr.conf import settings +from dapr.proto import common_v1 + +from .fake_dapr_server import FakeDaprSidecar class DaprGrpcClientTests(unittest.TestCase): @@ -61,7 +62,7 @@ def setUpClass(cls): cls._fake_dapr_server = FakeDaprSidecar(grpc_port=cls.grpc_port, http_port=cls.http_port) cls._fake_dapr_server.start() settings.DAPR_HTTP_PORT = cls.http_port - settings.DAPR_HTTP_ENDPOINT = 'http://127.0.0.1:{}'.format(cls.http_port) + settings.DAPR_HTTP_ENDPOINT = f'http://127.0.0.1:{cls.http_port}' @classmethod def tearDownClass(cls): @@ -928,7 +929,7 @@ def test_workflow_deprecated(self): # Raise an event on the workflow. dapr.raise_workflow_event(instance_id, workflow_component, event_name, event_data) get_response = dapr.get_workflow(instance_id, workflow_component) - self.assertEqual(event_data, get_response.properties[instance_id].strip('""')) + self.assertEqual(event_data, get_response.properties[instance_id].strip('""')) # noqa: B005 # Terminate the workflow dapr.terminate_workflow(instance_id, workflow_component) @@ -1233,6 +1234,282 @@ def test_converse_alpha1_error_handling(self): dapr.converse_alpha1(name='test-llm', inputs=inputs) self.assertTrue('Invalid argument' in str(context.exception)) + def test_converse_alpha1_with_tools(self): + """Test conversation with tool calling.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + weather_tool = Tool( + type="function", + name='get_weather', + description='Get weather information', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': {'type': 'string', 'description': 'City name'}, + 'unit': {'type': 'string', 'enum': ['celsius', 'fahrenheit']} + }, + 'required': ['location'] + }) + ) + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='What is the weather in San Francisco?')) + ] + )] + + response = dapr.converse_alpha1(name='test-llm', inputs=inputs, tools=[weather_tool]) + + # Check response structure + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + output = response.outputs[0] + tool_calls = output.get_tool_calls() + self.assertIsNotNone(tool_calls) + self.assertEqual(len(tool_calls), 1) + + tool_call = tool_calls[0] + self.assertEqual(tool_call.name, 'get_weather') + self.assertEqual(tool_call.type, 'function') + self.assertIn('San Francisco', tool_call.arguments) + self.assertEqual(output.finish_reason, 'tool_calls') + + def test_converse_alpha1_with_tool_result(self): + """Test conversation with tool result input.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + weather_tool = Tool( + type="function", + name='get_weather', + description='Get weather information', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': {'type': 'string', 'description': 'City name'} + }, + 'required': ['location'] + }) + ) + + # Updated to use from_tool_result_simple with correct signature + inputs = [ConversationInput.from_tool_result_simple( + tool_name='get_weather', + call_id='call_123', + result='{"temperature": 72, "condition": "sunny"}' + )] + + response = dapr.converse_alpha1(name='test-llm', inputs=inputs, tools=[weather_tool]) + + # Check response structure + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + # Updated expectation to match what fake server returns for tool result inputs + self.assertIn('Based on the tool result', response.outputs[0].result) + self.assertEqual(response.outputs[0].finish_reason, 'stop') + + def test_converse_alpha1_with_parameters(self): + """Test conversation with parameter conversion.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + inputs = [ConversationInput(content='Test with parameters', role='user')] + + response = dapr.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "tool_choice": "auto", + "temperature": 0.7, + "max_tokens": 1000, + "stream": False, + } + ) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + def test_converse_stream_alpha1_basic(self): + """Test basic streaming conversation.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + inputs = [ConversationInput(content='Hello streaming!', role='user')] + + chunks = [] + context_id = None + usage = None + + for response in dapr.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id='stream-test-123' + ): + if response.chunk: + # Extract text from chunk parts or fallback to deprecated content + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + elif response.chunk.content: + chunks.append(response.chunk.content) + + if response.complete: + context_id = response.complete.context_id + usage = response.complete.usage + + # Check streaming response + self.assertGreater(len(chunks), 0) + full_response = ''.join(chunks) + self.assertIn('Hello streaming!', full_response) + self.assertEqual(context_id, 'stream-test-123') + self.assertIsNotNone(usage) + + def test_converse_stream_alpha1_with_options(self): + """Test streaming conversation with options.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + inputs = [ConversationInput(content='Test with options', role='user', scrub_pii=True)] + + chunks = [] + for response in dapr.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id='options-test', + temperature=0.7, + scrub_pii=True, + metadata={'test': 'value'}, + parameters={ + "max_tokens": 500, + "top_p": 0.9, + } + ): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + elif response.chunk.content: + chunks.append(response.chunk.content) + + self.assertGreater(len(chunks), 0) + full_response = ''.join(chunks) + self.assertIn('Test with options', full_response) + + def test_converse_stream_alpha1_with_tools(self): + """Test streaming conversation with tool calling.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + weather_tool = Tool( + type="function", + name='get_weather', + description='Get weather information', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': {'type': 'string'} + } + }) + ) + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='What is the weather?')) + ] + )] + + chunks = [] + tool_calls_found = False + + for response in dapr.converse_stream_alpha1(name='test-llm', + inputs=inputs, tools=[weather_tool]): + if response.chunk: + # Check for tool calls in chunk parts + if response.chunk.parts: + for part in response.chunk.parts: + if part.tool_call: + tool_calls_found = True + self.assertEqual(part.tool_call.name, 'get_weather') + elif part.text: + chunks.append(part.text.text) + elif response.chunk.content: + chunks.append(response.chunk.content) + + self.assertTrue(tool_calls_found) + + def test_converse_stream_alpha1_with_calculate_tool(self): + """Test streaming conversation with calculate tool.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + calc_tool = Tool( + type="function", + name='calculate', + description='Perform calculations', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'expression': {'type': 'string'} + } + }) + ) + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='Calculate 15 * 23')) + ] + )] + + tool_calls_found = False + for response in dapr.converse_stream_alpha1(name='test-llm', inputs=inputs, + tools=[calc_tool]): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.tool_call: + tool_calls_found = True + # Updated to use flat structure instead of part.tool_call.function.name + self.assertEqual(part.tool_call.name, 'calculate') + self.assertIn('15 * 23', part.tool_call.arguments) + + self.assertTrue(tool_calls_found) + + def test_converse_stream_alpha1_error_handling(self): + """Test streaming conversation error handling.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + calc_tool = Tool( + type="function", + name='calculate', + description='Perform calculations', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'expression': {'type': 'string'} + } + }) + ) + + # Setup server to raise an exception + self._fake_dapr_server.raise_exception_on_next_call( + status_pb2.Status(code=code_pb2.INVALID_ARGUMENT, message='Stream error') + ) + + inputs = [ConversationInput(content='Test error', role='user')] + + with self.assertRaises(DaprGrpcError) as context: + list(dapr.converse_stream_alpha1(name='test-llm', inputs=inputs, tools=[calc_tool])) + self.assertTrue('Stream error' in str(context.exception)) + + def test_converse_stream_alpha1_empty_inputs(self): + """Test streaming conversation with empty inputs.""" + dapr = DaprGrpcClient(f'{self.scheme}localhost:{self.grpc_port}') + + # The client doesn't validate empty inputs, so this will succeed + # and return at least the completion chunk + chunks = list(dapr.converse_stream_alpha1(name='test-llm', inputs=[])) + self.assertGreaterEqual(len(chunks), 1) + if __name__ == '__main__': unittest.main() diff --git a/tests/clients/test_dapr_grpc_client_async.py b/tests/clients/test_dapr_grpc_client_async.py index 627f56ce7..2dab16b5d 100644 --- a/tests/clients/test_dapr_grpc_client_async.py +++ b/tests/clients/test_dapr_grpc_client_async.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - """ Copyright 2021 The Dapr Authors Licensed under the Apache License, Version 2.0 (the "License"); @@ -19,25 +17,32 @@ import uuid from unittest.mock import patch -from google.rpc import status_pb2, code_pb2 +from google.rpc import code_pb2, status_pb2 -from dapr.aio.clients.grpc.client import DaprGrpcClientAsync from dapr.aio.clients import DaprClient +from dapr.aio.clients.grpc.client import DaprGrpcClientAsync from dapr.clients.exceptions import DaprGrpcError -from dapr.common.pubsub.subscription import StreamInactiveError -from dapr.proto import common_v1 -from .fake_dapr_server import FakeDaprSidecar -from dapr.conf import settings +from dapr.clients.grpc._crypto import DecryptOptions, EncryptOptions from dapr.clients.grpc._helpers import to_bytes -from dapr.clients.grpc._request import TransactionalStateOperation, ConversationInput -from dapr.clients.grpc._state import StateOptions, Consistency, Concurrency, StateItem -from dapr.clients.grpc._crypto import EncryptOptions, DecryptOptions +from dapr.clients.grpc._request import ( + ContentPart, + ConversationInput, + TextContent, + Tool, + TransactionalStateOperation, +) from dapr.clients.grpc._response import ( ConfigurationItem, - ConfigurationWatcher, ConfigurationResponse, + ConfigurationWatcher, UnlockResponseStatus, ) +from dapr.clients.grpc._state import Concurrency, Consistency, StateItem, StateOptions +from dapr.common.pubsub.subscription import StreamInactiveError +from dapr.conf import settings +from dapr.proto import common_v1 + +from .fake_dapr_server import FakeDaprSidecar class DaprGrpcClientAsyncTests(unittest.IsolatedAsyncioTestCase): @@ -51,7 +56,7 @@ def setUpClass(cls): cls._fake_dapr_server.start() settings.DAPR_HTTP_PORT = cls.http_port - settings.DAPR_HTTP_ENDPOINT = 'http://127.0.0.1:{}'.format(cls.http_port) + settings.DAPR_HTTP_ENDPOINT = f'http://127.0.0.1:{cls.http_port}' @classmethod def tearDownClass(cls): @@ -1164,6 +1169,344 @@ async def test_converse_alpha1_error_handling(self): self.assertTrue('Invalid argument' in str(context.exception)) await dapr.close() + async def test_converse_alpha1_with_tools(self): + """Test async conversation with tool calling.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + + weather_tool = Tool( + type="function", + name='get_weather', + description='Get weather information', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': {'type': 'string', 'description': 'City name'}, + 'unit': {'type': 'string', 'enum': ['celsius', 'fahrenheit']} + }, + 'required': ['location'] + } + ) + ) + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='What is the weather in San Francisco?')) + ] + )] + + response = await dapr.converse_alpha1(name='test-llm', inputs=inputs, tools=[weather_tool]) + + # Check response structure + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + + output = response.outputs[0] + tool_calls = output.get_tool_calls() + self.assertIsNotNone(tool_calls) + self.assertEqual(len(tool_calls), 1) + + tool_call = tool_calls[0] + self.assertEqual(tool_call.name, 'get_weather') + self.assertEqual(tool_call.type, 'function') + self.assertIn('San Francisco', tool_call.arguments) + self.assertEqual(output.finish_reason, 'tool_calls') + await dapr.close() + + async def test_converse_alpha1_with_tool_result(self): + """Test async conversation with tool result input.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + weather_tool = Tool( + type="function", + name='get_weather', + description='Get weather information', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': {'type': 'string'} + } + } + ) + ) + + # Updated to use from_tool_result_simple with correct signature + inputs = [ConversationInput.from_tool_result_simple( + tool_name='get_weather', + call_id='call_123', + result='{"temperature": 72, "condition": "sunny"}' + )] + + response = await dapr.converse_alpha1(name='test-llm', inputs=inputs, tools=[weather_tool]) + + # Check response structure + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + self.assertIn('Based on the tool result', response.outputs[0].result) + self.assertEqual(response.outputs[0].finish_reason, 'stop') + await dapr.close() + + async def test_converse_alpha1_with_parameters(self): + """Test async conversation with parameter conversion.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + + inputs = [ConversationInput(content='Async test with parameters', role='user')] + + response = await dapr.converse_alpha1( + name='test-llm', + inputs=inputs, + parameters={ + "tool_choice": "auto", + "temperature": 0.8, + "max_tokens": 500, + "stream": False, + } + ) + + self.assertIsNotNone(response) + self.assertEqual(len(response.outputs), 1) + await dapr.close() + + async def test_converse_stream_alpha1_basic(self): + """Test basic async streaming conversation.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + + inputs = [ConversationInput(content='Hello async streaming!', role='user')] + + chunks = [] + context_id = None + usage = None + + async for response in dapr.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id='async-stream-test-123' + ): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + elif response.chunk.content: + chunks.append(response.chunk.content) + + if response.complete: + context_id = response.complete.context_id + usage = response.complete.usage + + # Check streaming response + self.assertGreater(len(chunks), 0) + full_response = ''.join(chunks) + self.assertIn('Hello async streaming!', full_response) + self.assertEqual(context_id, 'async-stream-test-123') + self.assertIsNotNone(usage) + await dapr.close() + + async def test_converse_stream_alpha1_with_options(self): + """Test async streaming conversation with options.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + + inputs = [ConversationInput(content='Test async options', role='user', scrub_pii=True)] + + chunks = [] + async for response in dapr.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id='async-options-test', + temperature=0.7, + scrub_pii=True, + metadata={'test': 'async_value'}, + parameters={ + "max_tokens": 300, + "top_p": 0.8, + } + ): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + elif response.chunk.content: + chunks.append(response.chunk.content) + + self.assertGreater(len(chunks), 0) + full_response = ''.join(chunks) + self.assertIn('Test async options', full_response) + await dapr.close() + + async def test_converse_stream_alpha1_with_tools(self): + """Test async streaming conversation with tool calling.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + + weather_tool = Tool( + type="function", + name='get_weather', + description='Get weather information', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': {'type': 'string'} + } + } + ) + ) + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='What is the weather?')) + ] + )] + + chunks = [] + tool_calls_found = False + + async for response in dapr.converse_stream_alpha1(name='test-llm', inputs=inputs, + tools=[weather_tool]): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.tool_call: + tool_calls_found = True + self.assertEqual(part.tool_call.name, 'get_weather') + elif part.text: + chunks.append(part.text.text) + elif response.chunk.content: + chunks.append(response.chunk.content) + + self.assertTrue(tool_calls_found) + await dapr.close() + + async def test_converse_stream_alpha1_with_calculate_tool(self): + """Test async streaming conversation with calculate tool.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + weather_tool = Tool( + type="function", + name='get_weather', + description='Get weather information', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'location': {'type': 'string'} + } + } + ) + ) + + calc_tool = Tool( + type="function", + name='calculate', + description='Perform calculations', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'expression': {'type': 'string'} + } + } + ) + ) + + inputs = [ConversationInput( + role='user', + parts=[ + ContentPart(text=TextContent(text='Calculate 15 * 23')) + ] + )] + + tool_calls_found = False + async for response in dapr.converse_stream_alpha1(name='test-llm', inputs=inputs, + tools=[calc_tool]): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.tool_call: + tool_calls_found = True + self.assertEqual(part.tool_call.name, 'calculate') + self.assertIn('15 * 23', part.tool_call.arguments) + + self.assertTrue(tool_calls_found) + await dapr.close() + + async def test_converse_stream_alpha1_concurrent_streams(self): + """Test multiple concurrent async streaming conversations.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + + async def stream_conversation(message, session_id): + inputs = [ConversationInput(content=message, role='user')] + chunks = [] + async for response in dapr.converse_stream_alpha1( + name='test-llm', + inputs=inputs, + context_id=session_id + ): + if response.chunk: + if response.chunk.parts: + for part in response.chunk.parts: + if part.text: + chunks.append(part.text.text) + elif response.chunk.content: + chunks.append(response.chunk.content) + return ''.join(chunks) + + # Run 3 conversations concurrently + import asyncio + tasks = [ + stream_conversation('First async message', 'async-session-1'), + stream_conversation('Second async message', 'async-session-2'), + stream_conversation('Third async message', 'async-session-3'), + ] + + results = await asyncio.gather(*tasks) + + self.assertEqual(len(results), 3) + for i, result in enumerate(results, 1): + expected_words = ['First', 'Second', 'Third'][i-1] + self.assertIn(expected_words, result) + + await dapr.close() + + async def test_converse_stream_alpha1_error_handling(self): + """Test async streaming conversation error handling.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + calc_tool = Tool( + type="function", + name='calculate', + description='Perform calculations', + parameters=json.dumps({ + 'type': 'object', + 'properties': { + 'expression': {'type': 'string'} + } + } + ) + ) + + # Setup server to raise an exception + self._fake_dapr_server.raise_exception_on_next_call( + status_pb2.Status(code=code_pb2.INVALID_ARGUMENT, message='Async stream error') + ) + + inputs = [ConversationInput(content='Test async error', role='user')] + + with self.assertRaises(DaprGrpcError) as context: + chunks = [] + async for chunk in dapr.converse_stream_alpha1(name='test-llm', inputs=inputs, + tools=[calc_tool]): + chunks.append(chunk) + self.assertTrue('Async stream error' in str(context.exception)) + await dapr.close() + + async def test_converse_stream_alpha1_empty_inputs(self): + """Test async streaming conversation with empty inputs.""" + dapr = DaprGrpcClientAsync(f'{self.scheme}localhost:{self.grpc_port}') + + # The client doesn't validate empty inputs, so this will succeed + # and return at least the completion chunk + chunks = [] + async for chunk in dapr.converse_stream_alpha1(name='test-llm', inputs=[]): + chunks.append(chunk) + self.assertGreaterEqual(len(chunks), 1) + await dapr.close() + if __name__ == '__main__': unittest.main() diff --git a/tests/clients/test_grpc_helpers.py b/tests/clients/test_grpc_helpers.py new file mode 100644 index 000000000..b9d4f9a8d --- /dev/null +++ b/tests/clients/test_grpc_helpers.py @@ -0,0 +1,284 @@ +#!/usr/bin/env python3 + +""" +Tests for gRPC helper functions, particularly parameter conversion. + +This test suite covers the parameter conversion functionality that improves +developer experience by automatically converting raw Python values to +protobuf Any objects for the conversation API. +""" + +import unittest + +from google.protobuf.any_pb2 import Any as GrpcAny +from google.protobuf.wrappers_pb2 import BoolValue, DoubleValue, Int32Value, Int64Value, StringValue + +from dapr.clients.grpc._helpers import convert_parameters_for_grpc + + +class GrpcHelpersTests(unittest.TestCase): + """Tests for gRPC helper functions.""" + + def test_convert_parameters_empty(self): + """Test conversion of empty parameters.""" + result = convert_parameters_for_grpc(None) + self.assertEqual(result, {}) + + result = convert_parameters_for_grpc({}) + self.assertEqual(result, {}) + + def test_convert_parameters_string(self): + """Test conversion of string parameters.""" + params = {"tool_choice": "auto", "model": "gpt-4"} + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 2) + self.assertIsInstance(result["tool_choice"], GrpcAny) + self.assertIsInstance(result["model"], GrpcAny) + + # Verify the string values can be unpacked correctly + string_value = StringValue() + result["tool_choice"].Unpack(string_value) + self.assertEqual(string_value.value, "auto") + + result["model"].Unpack(string_value) + self.assertEqual(string_value.value, "gpt-4") + + def test_convert_parameters_bool(self): + """Test conversion of boolean parameters.""" + params = {"stream": True, "echo": False} + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 2) + + # Verify boolean values + bool_value = BoolValue() + result["stream"].Unpack(bool_value) + self.assertTrue(bool_value.value) + + result["echo"].Unpack(bool_value) + self.assertFalse(bool_value.value) + + def test_convert_parameters_int(self): + """Test conversion of integer parameters.""" + params = { + "max_tokens": 1000, + "small_int": 42, + "large_int": 9999999999, # Larger than Int32 range + "negative_int": -500 + } + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 4) + + # Test Int32 values + int32_value = Int32Value() + result["max_tokens"].Unpack(int32_value) + self.assertEqual(int32_value.value, 1000) + + result["small_int"].Unpack(int32_value) + self.assertEqual(int32_value.value, 42) + + result["negative_int"].Unpack(int32_value) + self.assertEqual(int32_value.value, -500) + + # Test Int64 value (large integer) + int64_value = Int64Value() + result["large_int"].Unpack(int64_value) + self.assertEqual(int64_value.value, 9999999999) + + def test_convert_parameters_float(self): + """Test conversion of float parameters.""" + params = { + "temperature": 0.7, + "top_p": 0.9, + "frequency_penalty": -1.5, + "presence_penalty": 2.0 + } + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 4) + + # Verify float values + double_value = DoubleValue() + result["temperature"].Unpack(double_value) + self.assertAlmostEqual(double_value.value, 0.7, places=6) + + result["top_p"].Unpack(double_value) + self.assertAlmostEqual(double_value.value, 0.9, places=6) + + result["frequency_penalty"].Unpack(double_value) + self.assertAlmostEqual(double_value.value, -1.5, places=6) + + def test_convert_parameters_mixed_types(self): + """Test conversion of mixed parameter types.""" + params = { + "tool_choice": "auto", + "temperature": 0.7, + "max_tokens": 1000, + "stream": False, + "top_p": 0.9, + "frequency_penalty": 0.0, + "presence_penalty": 0.0, + } + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 7) + + # Verify all parameters are GrpcAny objects + for key, value in result.items(): + self.assertIsInstance(value, GrpcAny, f"Parameter {key} is not a GrpcAny object") + + def test_convert_parameters_backward_compatibility(self): + """Test that pre-wrapped protobuf Any objects are preserved.""" + # Create a pre-wrapped parameter + pre_wrapped_any = GrpcAny() + pre_wrapped_any.Pack(StringValue(value="manual")) + + params = { + "tool_choice": "auto", # Raw string + "manual_param": pre_wrapped_any, # Pre-wrapped + "temperature": 0.8, # Raw float + } + + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 3) + + # Verify pre-wrapped parameter is unchanged (same object reference) + self.assertIs(result["manual_param"], pre_wrapped_any) + + # Verify other parameters are converted + self.assertIsInstance(result["tool_choice"], GrpcAny) + self.assertIsInstance(result["temperature"], GrpcAny) + + # Verify the pre-wrapped value is still correct + string_value = StringValue() + result["manual_param"].Unpack(string_value) + self.assertEqual(string_value.value, "manual") + + def test_convert_parameters_unsupported_types(self): + """Test conversion of unsupported types (should convert to string).""" + params = { + "list_param": ["item1", "item2"], + "dict_param": {"key": "value"}, + "none_param": None, + "complex_param": complex(1, 2) + } + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 4) + + # All should be converted to strings + string_value = StringValue() + + result["list_param"].Unpack(string_value) + self.assertEqual(string_value.value, "['item1', 'item2']") + + result["dict_param"].Unpack(string_value) + self.assertEqual(string_value.value, "{'key': 'value'}") + + result["none_param"].Unpack(string_value) + self.assertEqual(string_value.value, "None") + + result["complex_param"].Unpack(string_value) + self.assertEqual(string_value.value, "(1+2j)") + + def test_convert_parameters_edge_cases(self): + """Test edge cases for parameter conversion.""" + # Test integer boundary values + params = { + "int32_min": -2147483648, # Int32 minimum + "int32_max": 2147483647, # Int32 maximum + "int64_min": -2147483649, # Just below Int32 minimum + "int64_max": 2147483648, # Just above Int32 maximum + } + result = convert_parameters_for_grpc(params) + + # Verify Int32 boundary values use Int32Value + int32_value = Int32Value() + result["int32_min"].Unpack(int32_value) + self.assertEqual(int32_value.value, -2147483648) + + result["int32_max"].Unpack(int32_value) + self.assertEqual(int32_value.value, 2147483647) + + # Verify values outside Int32 range use Int64Value + int64_value = Int64Value() + result["int64_min"].Unpack(int64_value) + self.assertEqual(int64_value.value, -2147483649) + + result["int64_max"].Unpack(int64_value) + self.assertEqual(int64_value.value, 2147483648) + + def test_convert_parameters_bool_priority(self): + """Test that bool is checked before int (since bool is subclass of int).""" + params = {"flag": True} + result = convert_parameters_for_grpc(params) + + # Should be BoolValue, not Int32Value + bool_value = BoolValue() + result["flag"].Unpack(bool_value) + self.assertTrue(bool_value.value) + + # Verify it's actually a BoolValue by checking the type_url + self.assertTrue(result["flag"].type_url.endswith('BoolValue')) + + def test_convert_parameters_realistic_openai_example(self): + """Test with realistic OpenAI-style parameters.""" + params = { + "model": "gpt-4o-mini", + "temperature": 0.7, + "max_tokens": 1000, + "top_p": 1.0, + "frequency_penalty": 0.0, + "presence_penalty": 0.0, + "stream": False, + "tool_choice": "auto", + "response_format": {"type": "text"} # Will be converted to string + } + + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 9) + + # Verify specific values + string_value = StringValue() + result["model"].Unpack(string_value) + self.assertEqual(string_value.value, "gpt-4o-mini") + + double_value = DoubleValue() + result["temperature"].Unpack(double_value) + self.assertAlmostEqual(double_value.value, 0.7, places=6) + + int32_value = Int32Value() + result["max_tokens"].Unpack(int32_value) + self.assertEqual(int32_value.value, 1000) + + bool_value = BoolValue() + result["stream"].Unpack(bool_value) + self.assertFalse(bool_value.value) + + def test_convert_parameters_realistic_anthropic_example(self): + """Test with realistic Anthropic-style parameters.""" + params = { + "model": "claude-3-5-sonnet-20241022", + "max_tokens": 4096, + "temperature": 0.8, + "top_p": 0.9, + "top_k": 250, + "stream": True, + "tool_choice": {"type": "auto"} # Will be converted to string + } + + result = convert_parameters_for_grpc(params) + + self.assertEqual(len(result), 7) + + # All should be properly converted + for key, value in result.items(): + self.assertIsInstance(value, GrpcAny, f"Parameter {key} is not converted") + + +if __name__ == '__main__': + unittest.main() diff --git a/tools/dapr/proto/common/v1/common_pb2.py b/tools/dapr/proto/common/v1/common_pb2.py new file mode 100644 index 000000000..9a775aec9 --- /dev/null +++ b/tools/dapr/proto/common/v1/common_pb2.py @@ -0,0 +1,172 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: dapr/proto/common/v1/common.proto +"""Generated protocol buffer code.""" +from google.protobuf import descriptor as _descriptor +from google.protobuf import descriptor_pool as _descriptor_pool +from google.protobuf import message as _message +from google.protobuf import reflection as _reflection +from google.protobuf import symbol_database as _symbol_database +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + +from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 +from google.protobuf import duration_pb2 as google_dot_protobuf_dot_duration__pb2 + + +DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n!dapr/proto/common/v1/common.proto\x12\x14\x64\x61pr.proto.common.v1\x1a\x19google/protobuf/any.proto\x1a\x1egoogle/protobuf/duration.proto\"\xd0\x01\n\rHTTPExtension\x12\x36\n\x04verb\x18\x01 \x01(\x0e\x32(.dapr.proto.common.v1.HTTPExtension.Verb\x12\x13\n\x0bquerystring\x18\x02 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\x03(\x0b\x32\x35.dapr.proto.common.v1.ConfigurationItem.MetadataEntry\x1a/\n\rMetadataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"\x9c\x01\n\x10JobFailurePolicy\x12:\n\x04\x64rop\x18\x01 \x01(\x0b\x32*.dapr.proto.common.v1.JobFailurePolicyDropH\x00\x12\x42\n\x08\x63onstant\x18\x02 \x01(\x0b\x32..dapr.proto.common.v1.JobFailurePolicyConstantH\x00\x42\x08\n\x06policy\"\x16\n\x14JobFailurePolicyDrop\"q\n\x18JobFailurePolicyConstant\x12+\n\x08interval\x18\x01 \x01(\x0b\x32\x19.google.protobuf.Duration\x12\x18\n\x0bmax_retries\x18\x02 \x01(\rH\x00\x88\x01\x01\x42\x0e\n\x0c_max_retriesBi\n\nio.dapr.v1B\x0c\x43ommonProtosZ/github.com/dapr/dapr/pkg/proto/common/v1;common\xaa\x02\x1b\x44\x61pr.Client.Autogen.Grpc.v1b\x06proto3') + + + +_HTTPEXTENSION = DESCRIPTOR.message_types_by_name['HTTPExtension'] +_INVOKEREQUEST = DESCRIPTOR.message_types_by_name['InvokeRequest'] +_INVOKERESPONSE = DESCRIPTOR.message_types_by_name['InvokeResponse'] +_STREAMPAYLOAD = DESCRIPTOR.message_types_by_name['StreamPayload'] +_STATEITEM = DESCRIPTOR.message_types_by_name['StateItem'] +_STATEITEM_METADATAENTRY = _STATEITEM.nested_types_by_name['MetadataEntry'] +_ETAG = DESCRIPTOR.message_types_by_name['Etag'] +_STATEOPTIONS = DESCRIPTOR.message_types_by_name['StateOptions'] +_CONFIGURATIONITEM = DESCRIPTOR.message_types_by_name['ConfigurationItem'] +_CONFIGURATIONITEM_METADATAENTRY = _CONFIGURATIONITEM.nested_types_by_name['MetadataEntry'] +_JOBFAILUREPOLICY = DESCRIPTOR.message_types_by_name['JobFailurePolicy'] +_JOBFAILUREPOLICYDROP = DESCRIPTOR.message_types_by_name['JobFailurePolicyDrop'] +_JOBFAILUREPOLICYCONSTANT = DESCRIPTOR.message_types_by_name['JobFailurePolicyConstant'] +_HTTPEXTENSION_VERB = _HTTPEXTENSION.enum_types_by_name['Verb'] +_STATEOPTIONS_STATECONCURRENCY = _STATEOPTIONS.enum_types_by_name['StateConcurrency'] +_STATEOPTIONS_STATECONSISTENCY = _STATEOPTIONS.enum_types_by_name['StateConsistency'] +HTTPExtension = _reflection.GeneratedProtocolMessageType('HTTPExtension', (_message.Message,), { + 'DESCRIPTOR' : _HTTPEXTENSION, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.HTTPExtension) + }) +_sym_db.RegisterMessage(HTTPExtension) + +InvokeRequest = _reflection.GeneratedProtocolMessageType('InvokeRequest', (_message.Message,), { + 'DESCRIPTOR' : _INVOKEREQUEST, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.InvokeRequest) + }) +_sym_db.RegisterMessage(InvokeRequest) + +InvokeResponse = _reflection.GeneratedProtocolMessageType('InvokeResponse', (_message.Message,), { + 'DESCRIPTOR' : _INVOKERESPONSE, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.InvokeResponse) + }) +_sym_db.RegisterMessage(InvokeResponse) + +StreamPayload = _reflection.GeneratedProtocolMessageType('StreamPayload', (_message.Message,), { + 'DESCRIPTOR' : _STREAMPAYLOAD, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.StreamPayload) + }) +_sym_db.RegisterMessage(StreamPayload) + +StateItem = _reflection.GeneratedProtocolMessageType('StateItem', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _STATEITEM_METADATAENTRY, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.StateItem.MetadataEntry) + }) + , + 'DESCRIPTOR' : _STATEITEM, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.StateItem) + }) +_sym_db.RegisterMessage(StateItem) +_sym_db.RegisterMessage(StateItem.MetadataEntry) + +Etag = _reflection.GeneratedProtocolMessageType('Etag', (_message.Message,), { + 'DESCRIPTOR' : _ETAG, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.Etag) + }) +_sym_db.RegisterMessage(Etag) + +StateOptions = _reflection.GeneratedProtocolMessageType('StateOptions', (_message.Message,), { + 'DESCRIPTOR' : _STATEOPTIONS, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.StateOptions) + }) +_sym_db.RegisterMessage(StateOptions) + +ConfigurationItem = _reflection.GeneratedProtocolMessageType('ConfigurationItem', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _CONFIGURATIONITEM_METADATAENTRY, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.ConfigurationItem.MetadataEntry) + }) + , + 'DESCRIPTOR' : _CONFIGURATIONITEM, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.ConfigurationItem) + }) +_sym_db.RegisterMessage(ConfigurationItem) +_sym_db.RegisterMessage(ConfigurationItem.MetadataEntry) + +JobFailurePolicy = _reflection.GeneratedProtocolMessageType('JobFailurePolicy', (_message.Message,), { + 'DESCRIPTOR' : _JOBFAILUREPOLICY, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.JobFailurePolicy) + }) +_sym_db.RegisterMessage(JobFailurePolicy) + +JobFailurePolicyDrop = _reflection.GeneratedProtocolMessageType('JobFailurePolicyDrop', (_message.Message,), { + 'DESCRIPTOR' : _JOBFAILUREPOLICYDROP, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.JobFailurePolicyDrop) + }) +_sym_db.RegisterMessage(JobFailurePolicyDrop) + +JobFailurePolicyConstant = _reflection.GeneratedProtocolMessageType('JobFailurePolicyConstant', (_message.Message,), { + 'DESCRIPTOR' : _JOBFAILUREPOLICYCONSTANT, + '__module__' : 'dapr.proto.common.v1.common_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.common.v1.JobFailurePolicyConstant) + }) +_sym_db.RegisterMessage(JobFailurePolicyConstant) + +if _descriptor._USE_C_DESCRIPTORS == False: + + DESCRIPTOR._options = None + DESCRIPTOR._serialized_options = b'\n\nio.dapr.v1B\014CommonProtosZ/github.com/dapr/dapr/pkg/proto/common/v1;common\252\002\033Dapr.Client.Autogen.Grpc.v1' + _STATEITEM_METADATAENTRY._options = None + _STATEITEM_METADATAENTRY._serialized_options = b'8\001' + _CONFIGURATIONITEM_METADATAENTRY._options = None + _CONFIGURATIONITEM_METADATAENTRY._serialized_options = b'8\001' + _HTTPEXTENSION._serialized_start=119 + _HTTPEXTENSION._serialized_end=327 + _HTTPEXTENSION_VERB._serialized_start=213 + _HTTPEXTENSION_VERB._serialized_end=327 + _INVOKEREQUEST._serialized_start=330 + _INVOKEREQUEST._serialized_end=480 + _INVOKERESPONSE._serialized_start=482 + _INVOKERESPONSE._serialized_end=556 + _STREAMPAYLOAD._serialized_start=558 + _STREAMPAYLOAD._serialized_end=600 + _STATEITEM._serialized_start=603 + _STATEITEM._serialized_end=851 + _STATEITEM_METADATAENTRY._serialized_start=804 + _STATEITEM_METADATAENTRY._serialized_end=851 + _ETAG._serialized_start=853 + _ETAG._serialized_end=874 + _STATEOPTIONS._serialized_start=877 + _STATEOPTIONS._serialized_end=1244 + _STATEOPTIONS_STATECONCURRENCY._serialized_start=1041 + _STATEOPTIONS_STATECONCURRENCY._serialized_end=1145 + _STATEOPTIONS_STATECONSISTENCY._serialized_start=1147 + _STATEOPTIONS_STATECONSISTENCY._serialized_end=1244 + _CONFIGURATIONITEM._serialized_start=1247 + _CONFIGURATIONITEM._serialized_end=1420 + _CONFIGURATIONITEM_METADATAENTRY._serialized_start=804 + _CONFIGURATIONITEM_METADATAENTRY._serialized_end=851 + _JOBFAILUREPOLICY._serialized_start=1423 + _JOBFAILUREPOLICY._serialized_end=1579 + _JOBFAILUREPOLICYDROP._serialized_start=1581 + _JOBFAILUREPOLICYDROP._serialized_end=1603 + _JOBFAILUREPOLICYCONSTANT._serialized_start=1605 + _JOBFAILUREPOLICYCONSTANT._serialized_end=1718 +# @@protoc_insertion_point(module_scope) diff --git a/tools/dapr/proto/common/v1/common_pb2.pyi b/tools/dapr/proto/common/v1/common_pb2.pyi new file mode 100644 index 000000000..bc44e3359 --- /dev/null +++ b/tools/dapr/proto/common/v1/common_pb2.pyi @@ -0,0 +1,440 @@ +""" +@generated by mypy-protobuf. Do not edit manually! +isort:skip_file + +Copyright 2021 The Dapr Authors +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at +http://www.apache.org/licenses/LICENSE-2.0 +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +""" + +import builtins +import collections.abc +import google.protobuf.any_pb2 +import google.protobuf.descriptor +import google.protobuf.duration_pb2 +import google.protobuf.internal.containers +import google.protobuf.internal.enum_type_wrapper +import google.protobuf.message +import sys +import typing + +if sys.version_info >= (3, 10): + import typing as typing_extensions +else: + import typing_extensions + +DESCRIPTOR: google.protobuf.descriptor.FileDescriptor + +@typing.final +class HTTPExtension(google.protobuf.message.Message): + """HTTPExtension includes HTTP verb and querystring + when Dapr runtime delivers HTTP content. + + For example, when callers calls http invoke api + `POST http://localhost:3500/v1.0/invoke//method/?query1=value1&query2=value2` + + Dapr runtime will parse POST as a verb and extract querystring to quersytring map. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + class _Verb: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _VerbEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[HTTPExtension._Verb.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + NONE: HTTPExtension._Verb.ValueType # 0 + GET: HTTPExtension._Verb.ValueType # 1 + HEAD: HTTPExtension._Verb.ValueType # 2 + POST: HTTPExtension._Verb.ValueType # 3 + PUT: HTTPExtension._Verb.ValueType # 4 + DELETE: HTTPExtension._Verb.ValueType # 5 + CONNECT: HTTPExtension._Verb.ValueType # 6 + OPTIONS: HTTPExtension._Verb.ValueType # 7 + TRACE: HTTPExtension._Verb.ValueType # 8 + PATCH: HTTPExtension._Verb.ValueType # 9 + + class Verb(_Verb, metaclass=_VerbEnumTypeWrapper): + """Type of HTTP 1.1 Methods + RFC 7231: https://tools.ietf.org/html/rfc7231#page-24 + RFC 5789: https://datatracker.ietf.org/doc/html/rfc5789 + """ + + NONE: HTTPExtension.Verb.ValueType # 0 + GET: HTTPExtension.Verb.ValueType # 1 + HEAD: HTTPExtension.Verb.ValueType # 2 + POST: HTTPExtension.Verb.ValueType # 3 + PUT: HTTPExtension.Verb.ValueType # 4 + DELETE: HTTPExtension.Verb.ValueType # 5 + CONNECT: HTTPExtension.Verb.ValueType # 6 + OPTIONS: HTTPExtension.Verb.ValueType # 7 + TRACE: HTTPExtension.Verb.ValueType # 8 + PATCH: HTTPExtension.Verb.ValueType # 9 + + VERB_FIELD_NUMBER: builtins.int + QUERYSTRING_FIELD_NUMBER: builtins.int + verb: global___HTTPExtension.Verb.ValueType + """Required. HTTP verb.""" + querystring: builtins.str + """Optional. querystring represents an encoded HTTP url query string in the following format: name=value&name2=value2""" + def __init__( + self, + *, + verb: global___HTTPExtension.Verb.ValueType = ..., + querystring: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["querystring", b"querystring", "verb", b"verb"]) -> None: ... + +global___HTTPExtension = HTTPExtension + +@typing.final +class InvokeRequest(google.protobuf.message.Message): + """InvokeRequest is the message to invoke a method with the data. + This message is used in InvokeService of Dapr gRPC Service and OnInvoke + of AppCallback gRPC service. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + METHOD_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + CONTENT_TYPE_FIELD_NUMBER: builtins.int + HTTP_EXTENSION_FIELD_NUMBER: builtins.int + method: builtins.str + """Required. method is a method name which will be invoked by caller.""" + content_type: builtins.str + """The type of data content. + + This field is required if data delivers http request body + Otherwise, this is optional. + """ + @property + def data(self) -> google.protobuf.any_pb2.Any: + """Required in unary RPCs. Bytes value or Protobuf message which caller sent. + Dapr treats Any.value as bytes type if Any.type_url is unset. + """ + + @property + def http_extension(self) -> global___HTTPExtension: + """HTTP specific fields if request conveys http-compatible request. + + This field is required for http-compatible request. Otherwise, + this field is optional. + """ + + def __init__( + self, + *, + method: builtins.str = ..., + data: google.protobuf.any_pb2.Any | None = ..., + content_type: builtins.str = ..., + http_extension: global___HTTPExtension | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["data", b"data", "http_extension", b"http_extension"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["content_type", b"content_type", "data", b"data", "http_extension", b"http_extension", "method", b"method"]) -> None: ... + +global___InvokeRequest = InvokeRequest + +@typing.final +class InvokeResponse(google.protobuf.message.Message): + """InvokeResponse is the response message including data and its content type + from app callback. + This message is used in InvokeService of Dapr gRPC Service and OnInvoke + of AppCallback gRPC service. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + DATA_FIELD_NUMBER: builtins.int + CONTENT_TYPE_FIELD_NUMBER: builtins.int + content_type: builtins.str + """Required. The type of data content.""" + @property + def data(self) -> google.protobuf.any_pb2.Any: + """Required in unary RPCs. The content body of InvokeService response.""" + + def __init__( + self, + *, + data: google.protobuf.any_pb2.Any | None = ..., + content_type: builtins.str = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["data", b"data"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["content_type", b"content_type", "data", b"data"]) -> None: ... + +global___InvokeResponse = InvokeResponse + +@typing.final +class StreamPayload(google.protobuf.message.Message): + """Chunk of data sent in a streaming request or response. + This is used in requests including InternalInvokeRequestStream. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + DATA_FIELD_NUMBER: builtins.int + SEQ_FIELD_NUMBER: builtins.int + data: builtins.bytes + """Data sent in the chunk. + The amount of data included in each chunk is up to the discretion of the sender, and can be empty. + Additionally, the amount of data doesn't need to be fixed and subsequent messages can send more, or less, data. + Receivers must not make assumptions about the number of bytes they'll receive in each chunk. + """ + seq: builtins.int + """Sequence number. This is a counter that starts from 0 and increments by 1 on each chunk sent.""" + def __init__( + self, + *, + data: builtins.bytes = ..., + seq: builtins.int = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "seq", b"seq"]) -> None: ... + +global___StreamPayload = StreamPayload + +@typing.final +class StateItem(google.protobuf.message.Message): + """StateItem represents state key, value, and additional options to save state.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + ETAG_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + OPTIONS_FIELD_NUMBER: builtins.int + key: builtins.str + """Required. The state key""" + value: builtins.bytes + """Required. The state data for key""" + @property + def etag(self) -> global___Etag: + """The entity tag which represents the specific version of data. + The exact ETag format is defined by the corresponding data store. + """ + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be passed to state store component.""" + + @property + def options(self) -> global___StateOptions: + """Options for concurrency and consistency to save the state.""" + + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.bytes = ..., + etag: global___Etag | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + options: global___StateOptions | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["etag", b"etag", "options", b"options"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["etag", b"etag", "key", b"key", "metadata", b"metadata", "options", b"options", "value", b"value"]) -> None: ... + +global___StateItem = StateItem + +@typing.final +class Etag(google.protobuf.message.Message): + """Etag represents a state item version""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + VALUE_FIELD_NUMBER: builtins.int + value: builtins.str + """value sets the etag value""" + def __init__( + self, + *, + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["value", b"value"]) -> None: ... + +global___Etag = Etag + +@typing.final +class StateOptions(google.protobuf.message.Message): + """StateOptions configures concurrency and consistency for state operations""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + class _StateConcurrency: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _StateConcurrencyEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[StateOptions._StateConcurrency.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + CONCURRENCY_UNSPECIFIED: StateOptions._StateConcurrency.ValueType # 0 + CONCURRENCY_FIRST_WRITE: StateOptions._StateConcurrency.ValueType # 1 + CONCURRENCY_LAST_WRITE: StateOptions._StateConcurrency.ValueType # 2 + + class StateConcurrency(_StateConcurrency, metaclass=_StateConcurrencyEnumTypeWrapper): + """Enum describing the supported concurrency for state.""" + + CONCURRENCY_UNSPECIFIED: StateOptions.StateConcurrency.ValueType # 0 + CONCURRENCY_FIRST_WRITE: StateOptions.StateConcurrency.ValueType # 1 + CONCURRENCY_LAST_WRITE: StateOptions.StateConcurrency.ValueType # 2 + + class _StateConsistency: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _StateConsistencyEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[StateOptions._StateConsistency.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + CONSISTENCY_UNSPECIFIED: StateOptions._StateConsistency.ValueType # 0 + CONSISTENCY_EVENTUAL: StateOptions._StateConsistency.ValueType # 1 + CONSISTENCY_STRONG: StateOptions._StateConsistency.ValueType # 2 + + class StateConsistency(_StateConsistency, metaclass=_StateConsistencyEnumTypeWrapper): + """Enum describing the supported consistency for state.""" + + CONSISTENCY_UNSPECIFIED: StateOptions.StateConsistency.ValueType # 0 + CONSISTENCY_EVENTUAL: StateOptions.StateConsistency.ValueType # 1 + CONSISTENCY_STRONG: StateOptions.StateConsistency.ValueType # 2 + + CONCURRENCY_FIELD_NUMBER: builtins.int + CONSISTENCY_FIELD_NUMBER: builtins.int + concurrency: global___StateOptions.StateConcurrency.ValueType + consistency: global___StateOptions.StateConsistency.ValueType + def __init__( + self, + *, + concurrency: global___StateOptions.StateConcurrency.ValueType = ..., + consistency: global___StateOptions.StateConsistency.ValueType = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["concurrency", b"concurrency", "consistency", b"consistency"]) -> None: ... + +global___StateOptions = StateOptions + +@typing.final +class ConfigurationItem(google.protobuf.message.Message): + """ConfigurationItem represents all the configuration with its name(key).""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + VALUE_FIELD_NUMBER: builtins.int + VERSION_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + value: builtins.str + """Required. The value of configuration item.""" + version: builtins.str + """Version is response only and cannot be fetched. Store is not expected to keep all versions available""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """the metadata which will be passed to/from configuration store component.""" + + def __init__( + self, + *, + value: builtins.str = ..., + version: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["metadata", b"metadata", "value", b"value", "version", b"version"]) -> None: ... + +global___ConfigurationItem = ConfigurationItem + +@typing.final +class JobFailurePolicy(google.protobuf.message.Message): + """JobFailurePolicy defines the policy to apply when a job fails to trigger.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + DROP_FIELD_NUMBER: builtins.int + CONSTANT_FIELD_NUMBER: builtins.int + @property + def drop(self) -> global___JobFailurePolicyDrop: ... + @property + def constant(self) -> global___JobFailurePolicyConstant: ... + def __init__( + self, + *, + drop: global___JobFailurePolicyDrop | None = ..., + constant: global___JobFailurePolicyConstant | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["constant", b"constant", "drop", b"drop", "policy", b"policy"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["constant", b"constant", "drop", b"drop", "policy", b"policy"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["policy", b"policy"]) -> typing.Literal["drop", "constant"] | None: ... + +global___JobFailurePolicy = JobFailurePolicy + +@typing.final +class JobFailurePolicyDrop(google.protobuf.message.Message): + """JobFailurePolicyDrop is a policy which drops the job tick when the job fails to trigger.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___JobFailurePolicyDrop = JobFailurePolicyDrop + +@typing.final +class JobFailurePolicyConstant(google.protobuf.message.Message): + """JobFailurePolicyConstant is a policy which retries the job at a consistent interval when the job fails to trigger.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INTERVAL_FIELD_NUMBER: builtins.int + MAX_RETRIES_FIELD_NUMBER: builtins.int + max_retries: builtins.int + """max_retries is the optional maximum number of retries to attempt before giving up. + If unset, the Job will be retried indefinitely. + """ + @property + def interval(self) -> google.protobuf.duration_pb2.Duration: + """interval is the constant delay to wait before retrying the job.""" + + def __init__( + self, + *, + interval: google.protobuf.duration_pb2.Duration | None = ..., + max_retries: builtins.int | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_max_retries", b"_max_retries", "interval", b"interval", "max_retries", b"max_retries"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_max_retries", b"_max_retries", "interval", b"interval", "max_retries", b"max_retries"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_max_retries", b"_max_retries"]) -> typing.Literal["max_retries"] | None: ... + +global___JobFailurePolicyConstant = JobFailurePolicyConstant diff --git a/tools/dapr/proto/common/v1/common_pb2_grpc.py b/tools/dapr/proto/common/v1/common_pb2_grpc.py new file mode 100644 index 000000000..2daafffeb --- /dev/null +++ b/tools/dapr/proto/common/v1/common_pb2_grpc.py @@ -0,0 +1,4 @@ +# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! +"""Client and server classes corresponding to protobuf-defined services.""" +import grpc + diff --git a/tools/dapr/proto/runtime/v1/appcallback_pb2.py b/tools/dapr/proto/runtime/v1/appcallback_pb2.py new file mode 100644 index 000000000..66d8f7b16 --- /dev/null +++ b/tools/dapr/proto/runtime/v1/appcallback_pb2.py @@ -0,0 +1,276 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: dapr/proto/runtime/v1/appcallback.proto +"""Generated protocol buffer code.""" +from google.protobuf import descriptor as _descriptor +from google.protobuf import descriptor_pool as _descriptor_pool +from google.protobuf import message as _message +from google.protobuf import reflection as _reflection +from google.protobuf import symbol_database as _symbol_database +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + +from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 +from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 +from dapr.proto.common.v1 import common_pb2 as dapr_dot_proto_dot_common_dot_v1_dot_common__pb2 +from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2 + + +DESCRIPTOR = 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Dapr.AppCallback.Autogen.Grpc.v1b\x06proto3') + + + +_JOBEVENTREQUEST = DESCRIPTOR.message_types_by_name['JobEventRequest'] +_JOBEVENTRESPONSE = DESCRIPTOR.message_types_by_name['JobEventResponse'] +_TOPICEVENTREQUEST = DESCRIPTOR.message_types_by_name['TopicEventRequest'] +_TOPICEVENTRESPONSE = DESCRIPTOR.message_types_by_name['TopicEventResponse'] +_TOPICEVENTCEREQUEST = DESCRIPTOR.message_types_by_name['TopicEventCERequest'] +_TOPICEVENTBULKREQUESTENTRY = DESCRIPTOR.message_types_by_name['TopicEventBulkRequestEntry'] +_TOPICEVENTBULKREQUESTENTRY_METADATAENTRY = _TOPICEVENTBULKREQUESTENTRY.nested_types_by_name['MetadataEntry'] +_TOPICEVENTBULKREQUEST = DESCRIPTOR.message_types_by_name['TopicEventBulkRequest'] +_TOPICEVENTBULKREQUEST_METADATAENTRY = _TOPICEVENTBULKREQUEST.nested_types_by_name['MetadataEntry'] +_TOPICEVENTBULKRESPONSEENTRY = DESCRIPTOR.message_types_by_name['TopicEventBulkResponseEntry'] +_TOPICEVENTBULKRESPONSE = DESCRIPTOR.message_types_by_name['TopicEventBulkResponse'] +_BINDINGEVENTREQUEST = DESCRIPTOR.message_types_by_name['BindingEventRequest'] +_BINDINGEVENTREQUEST_METADATAENTRY = _BINDINGEVENTREQUEST.nested_types_by_name['MetadataEntry'] +_BINDINGEVENTRESPONSE = DESCRIPTOR.message_types_by_name['BindingEventResponse'] +_LISTTOPICSUBSCRIPTIONSRESPONSE = DESCRIPTOR.message_types_by_name['ListTopicSubscriptionsResponse'] +_TOPICSUBSCRIPTION = DESCRIPTOR.message_types_by_name['TopicSubscription'] +_TOPICSUBSCRIPTION_METADATAENTRY = _TOPICSUBSCRIPTION.nested_types_by_name['MetadataEntry'] +_TOPICROUTES = DESCRIPTOR.message_types_by_name['TopicRoutes'] +_TOPICRULE = DESCRIPTOR.message_types_by_name['TopicRule'] +_BULKSUBSCRIBECONFIG = DESCRIPTOR.message_types_by_name['BulkSubscribeConfig'] +_LISTINPUTBINDINGSRESPONSE = DESCRIPTOR.message_types_by_name['ListInputBindingsResponse'] +_HEALTHCHECKRESPONSE = DESCRIPTOR.message_types_by_name['HealthCheckResponse'] +_TOPICEVENTRESPONSE_TOPICEVENTRESPONSESTATUS = _TOPICEVENTRESPONSE.enum_types_by_name['TopicEventResponseStatus'] +_BINDINGEVENTRESPONSE_BINDINGEVENTCONCURRENCY = _BINDINGEVENTRESPONSE.enum_types_by_name['BindingEventConcurrency'] +JobEventRequest = _reflection.GeneratedProtocolMessageType('JobEventRequest', (_message.Message,), { + 'DESCRIPTOR' : _JOBEVENTREQUEST, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.JobEventRequest) + }) +_sym_db.RegisterMessage(JobEventRequest) + +JobEventResponse = _reflection.GeneratedProtocolMessageType('JobEventResponse', (_message.Message,), { + 'DESCRIPTOR' : _JOBEVENTRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.JobEventResponse) + }) +_sym_db.RegisterMessage(JobEventResponse) + +TopicEventRequest = _reflection.GeneratedProtocolMessageType('TopicEventRequest', (_message.Message,), { + 'DESCRIPTOR' : _TOPICEVENTREQUEST, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventRequest) + }) +_sym_db.RegisterMessage(TopicEventRequest) + +TopicEventResponse = _reflection.GeneratedProtocolMessageType('TopicEventResponse', (_message.Message,), { + 'DESCRIPTOR' : _TOPICEVENTRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventResponse) + }) +_sym_db.RegisterMessage(TopicEventResponse) + +TopicEventCERequest = _reflection.GeneratedProtocolMessageType('TopicEventCERequest', (_message.Message,), { + 'DESCRIPTOR' : _TOPICEVENTCEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventCERequest) + }) +_sym_db.RegisterMessage(TopicEventCERequest) + +TopicEventBulkRequestEntry = _reflection.GeneratedProtocolMessageType('TopicEventBulkRequestEntry', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _TOPICEVENTBULKREQUESTENTRY_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventBulkRequestEntry.MetadataEntry) + }) + , + 'DESCRIPTOR' : _TOPICEVENTBULKREQUESTENTRY, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventBulkRequestEntry) + }) +_sym_db.RegisterMessage(TopicEventBulkRequestEntry) +_sym_db.RegisterMessage(TopicEventBulkRequestEntry.MetadataEntry) + +TopicEventBulkRequest = _reflection.GeneratedProtocolMessageType('TopicEventBulkRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _TOPICEVENTBULKREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventBulkRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _TOPICEVENTBULKREQUEST, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventBulkRequest) + }) +_sym_db.RegisterMessage(TopicEventBulkRequest) +_sym_db.RegisterMessage(TopicEventBulkRequest.MetadataEntry) + +TopicEventBulkResponseEntry = _reflection.GeneratedProtocolMessageType('TopicEventBulkResponseEntry', (_message.Message,), { + 'DESCRIPTOR' : _TOPICEVENTBULKRESPONSEENTRY, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventBulkResponseEntry) + }) +_sym_db.RegisterMessage(TopicEventBulkResponseEntry) + +TopicEventBulkResponse = _reflection.GeneratedProtocolMessageType('TopicEventBulkResponse', (_message.Message,), { + 'DESCRIPTOR' : _TOPICEVENTBULKRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicEventBulkResponse) + }) +_sym_db.RegisterMessage(TopicEventBulkResponse) + +BindingEventRequest = _reflection.GeneratedProtocolMessageType('BindingEventRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _BINDINGEVENTREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BindingEventRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _BINDINGEVENTREQUEST, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BindingEventRequest) + }) +_sym_db.RegisterMessage(BindingEventRequest) +_sym_db.RegisterMessage(BindingEventRequest.MetadataEntry) + +BindingEventResponse = _reflection.GeneratedProtocolMessageType('BindingEventResponse', (_message.Message,), { + 'DESCRIPTOR' : _BINDINGEVENTRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BindingEventResponse) + }) +_sym_db.RegisterMessage(BindingEventResponse) + +ListTopicSubscriptionsResponse = _reflection.GeneratedProtocolMessageType('ListTopicSubscriptionsResponse', (_message.Message,), { + 'DESCRIPTOR' : _LISTTOPICSUBSCRIPTIONSRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ListTopicSubscriptionsResponse) + }) +_sym_db.RegisterMessage(ListTopicSubscriptionsResponse) + +TopicSubscription = _reflection.GeneratedProtocolMessageType('TopicSubscription', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _TOPICSUBSCRIPTION_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicSubscription.MetadataEntry) + }) + , + 'DESCRIPTOR' : _TOPICSUBSCRIPTION, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicSubscription) + }) +_sym_db.RegisterMessage(TopicSubscription) +_sym_db.RegisterMessage(TopicSubscription.MetadataEntry) + +TopicRoutes = _reflection.GeneratedProtocolMessageType('TopicRoutes', (_message.Message,), { + 'DESCRIPTOR' : _TOPICROUTES, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicRoutes) + }) +_sym_db.RegisterMessage(TopicRoutes) + +TopicRule = _reflection.GeneratedProtocolMessageType('TopicRule', (_message.Message,), { + 'DESCRIPTOR' : _TOPICRULE, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TopicRule) + }) +_sym_db.RegisterMessage(TopicRule) + +BulkSubscribeConfig = _reflection.GeneratedProtocolMessageType('BulkSubscribeConfig', (_message.Message,), { + 'DESCRIPTOR' : _BULKSUBSCRIBECONFIG, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkSubscribeConfig) + }) +_sym_db.RegisterMessage(BulkSubscribeConfig) + +ListInputBindingsResponse = _reflection.GeneratedProtocolMessageType('ListInputBindingsResponse', (_message.Message,), { + 'DESCRIPTOR' : _LISTINPUTBINDINGSRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ListInputBindingsResponse) + }) +_sym_db.RegisterMessage(ListInputBindingsResponse) + +HealthCheckResponse = _reflection.GeneratedProtocolMessageType('HealthCheckResponse', (_message.Message,), { + 'DESCRIPTOR' : _HEALTHCHECKRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.appcallback_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.HealthCheckResponse) + }) +_sym_db.RegisterMessage(HealthCheckResponse) + +_APPCALLBACK = DESCRIPTOR.services_by_name['AppCallback'] +_APPCALLBACKHEALTHCHECK = DESCRIPTOR.services_by_name['AppCallbackHealthCheck'] +_APPCALLBACKALPHA = DESCRIPTOR.services_by_name['AppCallbackAlpha'] +if _descriptor._USE_C_DESCRIPTORS == False: + + DESCRIPTOR._options = None + DESCRIPTOR._serialized_options = b'\n\nio.dapr.v1B\025DaprAppCallbackProtosZ1github.com/dapr/dapr/pkg/proto/runtime/v1;runtime\252\002 Dapr.AppCallback.Autogen.Grpc.v1' + _TOPICEVENTBULKREQUESTENTRY_METADATAENTRY._options = None + _TOPICEVENTBULKREQUESTENTRY_METADATAENTRY._serialized_options = b'8\001' + _TOPICEVENTBULKREQUEST_METADATAENTRY._options = None + _TOPICEVENTBULKREQUEST_METADATAENTRY._serialized_options = b'8\001' + _BINDINGEVENTREQUEST_METADATAENTRY._options = None + _BINDINGEVENTREQUEST_METADATAENTRY._serialized_options = b'8\001' + _TOPICSUBSCRIPTION_METADATAENTRY._options = None + _TOPICSUBSCRIPTION_METADATAENTRY._serialized_options = b'8\001' + _JOBEVENTREQUEST._serialized_start=188 + _JOBEVENTREQUEST._serialized_end=354 + _JOBEVENTRESPONSE._serialized_start=356 + _JOBEVENTRESPONSE._serialized_end=374 + _TOPICEVENTREQUEST._serialized_start=377 + _TOPICEVENTREQUEST._serialized_end=596 + _TOPICEVENTRESPONSE._serialized_start=599 + _TOPICEVENTRESPONSE._serialized_end=765 + _TOPICEVENTRESPONSE_TOPICEVENTRESPONSESTATUS._serialized_start=705 + _TOPICEVENTRESPONSE_TOPICEVENTRESPONSESTATUS._serialized_end=765 + _TOPICEVENTCEREQUEST._serialized_start=768 + _TOPICEVENTCEREQUEST._serialized_end=939 + _TOPICEVENTBULKREQUESTENTRY._serialized_start=942 + _TOPICEVENTBULKREQUESTENTRY._serialized_end=1235 + _TOPICEVENTBULKREQUESTENTRY_METADATAENTRY._serialized_start=1179 + _TOPICEVENTBULKREQUESTENTRY_METADATAENTRY._serialized_end=1226 + _TOPICEVENTBULKREQUEST._serialized_start=1238 + _TOPICEVENTBULKREQUEST._serialized_end=1532 + _TOPICEVENTBULKREQUEST_METADATAENTRY._serialized_start=1179 + _TOPICEVENTBULKREQUEST_METADATAENTRY._serialized_end=1226 + _TOPICEVENTBULKRESPONSEENTRY._serialized_start=1535 + _TOPICEVENTBULKRESPONSEENTRY._serialized_end=1666 + _TOPICEVENTBULKRESPONSE._serialized_start=1668 + _TOPICEVENTBULKRESPONSE._serialized_end=1762 + _BINDINGEVENTREQUEST._serialized_start=1765 + _BINDINGEVENTREQUEST._serialized_end=1939 + _BINDINGEVENTREQUEST_METADATAENTRY._serialized_start=1179 + _BINDINGEVENTREQUEST_METADATAENTRY._serialized_end=1226 + _BINDINGEVENTRESPONSE._serialized_start=1942 + _BINDINGEVENTRESPONSE._serialized_end=2206 + _BINDINGEVENTRESPONSE_BINDINGEVENTCONCURRENCY._serialized_start=2151 + _BINDINGEVENTRESPONSE_BINDINGEVENTCONCURRENCY._serialized_end=2206 + _LISTTOPICSUBSCRIPTIONSRESPONSE._serialized_start=2208 + _LISTTOPICSUBSCRIPTIONSRESPONSE._serialized_end=2305 + _TOPICSUBSCRIPTION._serialized_start=2308 + _TOPICSUBSCRIPTION._serialized_end=2633 + _TOPICSUBSCRIPTION_METADATAENTRY._serialized_start=1179 + _TOPICSUBSCRIPTION_METADATAENTRY._serialized_end=1226 + _TOPICROUTES._serialized_start=2635 + _TOPICROUTES._serialized_end=2714 + _TOPICRULE._serialized_start=2716 + _TOPICRULE._serialized_end=2756 + _BULKSUBSCRIBECONFIG._serialized_start=2758 + _BULKSUBSCRIBECONFIG._serialized_end=2855 + _LISTINPUTBINDINGSRESPONSE._serialized_start=2857 + _LISTINPUTBINDINGSRESPONSE._serialized_end=2902 + _HEALTHCHECKRESPONSE._serialized_start=2904 + _HEALTHCHECKRESPONSE._serialized_end=2925 + _APPCALLBACK._serialized_start=2928 + _APPCALLBACK._serialized_end=3446 + _APPCALLBACKHEALTHCHECK._serialized_start=3448 + _APPCALLBACKHEALTHCHECK._serialized_end=3557 + _APPCALLBACKALPHA._serialized_start=3560 + _APPCALLBACKALPHA._serialized_end=3800 +# @@protoc_insertion_point(module_scope) diff --git a/tools/dapr/proto/runtime/v1/appcallback_pb2.pyi b/tools/dapr/proto/runtime/v1/appcallback_pb2.pyi new file mode 100644 index 000000000..6c12dc572 --- /dev/null +++ b/tools/dapr/proto/runtime/v1/appcallback_pb2.pyi @@ -0,0 +1,703 @@ +""" +@generated by mypy-protobuf. Do not edit manually! +isort:skip_file + +Copyright 2021 The Dapr Authors +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at +http://www.apache.org/licenses/LICENSE-2.0 +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +""" + +import builtins +import collections.abc +import dapr.proto.common.v1.common_pb2 +import google.protobuf.any_pb2 +import google.protobuf.descriptor +import google.protobuf.internal.containers +import google.protobuf.internal.enum_type_wrapper +import google.protobuf.message +import google.protobuf.struct_pb2 +import sys +import typing + +if sys.version_info >= (3, 10): + import typing as typing_extensions +else: + import typing_extensions + +DESCRIPTOR: google.protobuf.descriptor.FileDescriptor + +@typing.final +class JobEventRequest(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + METHOD_FIELD_NUMBER: builtins.int + CONTENT_TYPE_FIELD_NUMBER: builtins.int + HTTP_EXTENSION_FIELD_NUMBER: builtins.int + name: builtins.str + """Job name.""" + method: builtins.str + """Required. method is a method name which will be invoked by caller.""" + content_type: builtins.str + """The type of data content. + + This field is required if data delivers http request body + Otherwise, this is optional. + """ + @property + def data(self) -> google.protobuf.any_pb2.Any: + """Job data to be sent back to app.""" + + @property + def http_extension(self) -> dapr.proto.common.v1.common_pb2.HTTPExtension: + """HTTP specific fields if request conveys http-compatible request. + + This field is required for http-compatible request. Otherwise, + this field is optional. + """ + + def __init__( + self, + *, + name: builtins.str = ..., + data: google.protobuf.any_pb2.Any | None = ..., + method: builtins.str = ..., + content_type: builtins.str = ..., + http_extension: dapr.proto.common.v1.common_pb2.HTTPExtension | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["data", b"data", "http_extension", b"http_extension"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["content_type", b"content_type", "data", b"data", "http_extension", b"http_extension", "method", b"method", "name", b"name"]) -> None: ... + +global___JobEventRequest = JobEventRequest + +@typing.final +class JobEventResponse(google.protobuf.message.Message): + """JobEventResponse is the response from the app when a job is triggered.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___JobEventResponse = JobEventResponse + +@typing.final +class TopicEventRequest(google.protobuf.message.Message): + """TopicEventRequest message is compatible with CloudEvent spec v1.0 + https://github.com/cloudevents/spec/blob/v1.0/spec.md + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + SOURCE_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + SPEC_VERSION_FIELD_NUMBER: builtins.int + DATA_CONTENT_TYPE_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + TOPIC_FIELD_NUMBER: builtins.int + PUBSUB_NAME_FIELD_NUMBER: builtins.int + PATH_FIELD_NUMBER: builtins.int + EXTENSIONS_FIELD_NUMBER: builtins.int + id: builtins.str + """id identifies the event. Producers MUST ensure that source + id + is unique for each distinct event. If a duplicate event is re-sent + (e.g. due to a network error) it MAY have the same id. + """ + source: builtins.str + """source identifies the context in which an event happened. + Often this will include information such as the type of the + event source, the organization publishing the event or the process + that produced the event. The exact syntax and semantics behind + the data encoded in the URI is defined by the event producer. + """ + type: builtins.str + """The type of event related to the originating occurrence.""" + spec_version: builtins.str + """The version of the CloudEvents specification.""" + data_content_type: builtins.str + """The content type of data value.""" + data: builtins.bytes + """The content of the event.""" + topic: builtins.str + """The pubsub topic which publisher sent to.""" + pubsub_name: builtins.str + """The name of the pubsub the publisher sent to.""" + path: builtins.str + """The matching path from TopicSubscription/routes (if specified) for this event. + This value is used by OnTopicEvent to "switch" inside the handler. + """ + @property + def extensions(self) -> google.protobuf.struct_pb2.Struct: + """The map of additional custom properties to be sent to the app. These are considered to be cloud event extensions.""" + + def __init__( + self, + *, + id: builtins.str = ..., + source: builtins.str = ..., + type: builtins.str = ..., + spec_version: builtins.str = ..., + data_content_type: builtins.str = ..., + data: builtins.bytes = ..., + topic: builtins.str = ..., + pubsub_name: builtins.str = ..., + path: builtins.str = ..., + extensions: google.protobuf.struct_pb2.Struct | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["extensions", b"extensions"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "data_content_type", b"data_content_type", "extensions", b"extensions", "id", b"id", "path", b"path", "pubsub_name", b"pubsub_name", "source", b"source", "spec_version", b"spec_version", "topic", b"topic", "type", b"type"]) -> None: ... + +global___TopicEventRequest = TopicEventRequest + +@typing.final +class TopicEventResponse(google.protobuf.message.Message): + """TopicEventResponse is response from app on published message""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + class _TopicEventResponseStatus: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _TopicEventResponseStatusEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[TopicEventResponse._TopicEventResponseStatus.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + SUCCESS: TopicEventResponse._TopicEventResponseStatus.ValueType # 0 + """SUCCESS is the default behavior: message is acknowledged and not retried or logged.""" + RETRY: TopicEventResponse._TopicEventResponseStatus.ValueType # 1 + """RETRY status signals Dapr to retry the message as part of an expected scenario (no warning is logged).""" + DROP: TopicEventResponse._TopicEventResponseStatus.ValueType # 2 + """DROP status signals Dapr to drop the message as part of an unexpected scenario (warning is logged).""" + + class TopicEventResponseStatus(_TopicEventResponseStatus, metaclass=_TopicEventResponseStatusEnumTypeWrapper): + """TopicEventResponseStatus allows apps to have finer control over handling of the message.""" + + SUCCESS: TopicEventResponse.TopicEventResponseStatus.ValueType # 0 + """SUCCESS is the default behavior: message is acknowledged and not retried or logged.""" + RETRY: TopicEventResponse.TopicEventResponseStatus.ValueType # 1 + """RETRY status signals Dapr to retry the message as part of an expected scenario (no warning is logged).""" + DROP: TopicEventResponse.TopicEventResponseStatus.ValueType # 2 + """DROP status signals Dapr to drop the message as part of an unexpected scenario (warning is logged).""" + + STATUS_FIELD_NUMBER: builtins.int + status: global___TopicEventResponse.TopicEventResponseStatus.ValueType + """The list of output bindings.""" + def __init__( + self, + *, + status: global___TopicEventResponse.TopicEventResponseStatus.ValueType = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["status", b"status"]) -> None: ... + +global___TopicEventResponse = TopicEventResponse + +@typing.final +class TopicEventCERequest(google.protobuf.message.Message): + """TopicEventCERequest message is compatible with CloudEvent spec v1.0""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + SOURCE_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + SPEC_VERSION_FIELD_NUMBER: builtins.int + DATA_CONTENT_TYPE_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + EXTENSIONS_FIELD_NUMBER: builtins.int + id: builtins.str + """The unique identifier of this cloud event.""" + source: builtins.str + """source identifies the context in which an event happened.""" + type: builtins.str + """The type of event related to the originating occurrence.""" + spec_version: builtins.str + """The version of the CloudEvents specification.""" + data_content_type: builtins.str + """The content type of data value.""" + data: builtins.bytes + """The content of the event.""" + @property + def extensions(self) -> google.protobuf.struct_pb2.Struct: + """Custom attributes which includes cloud event extensions.""" + + def __init__( + self, + *, + id: builtins.str = ..., + source: builtins.str = ..., + type: builtins.str = ..., + spec_version: builtins.str = ..., + data_content_type: builtins.str = ..., + data: builtins.bytes = ..., + extensions: google.protobuf.struct_pb2.Struct | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["extensions", b"extensions"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "data_content_type", b"data_content_type", "extensions", b"extensions", "id", b"id", "source", b"source", "spec_version", b"spec_version", "type", b"type"]) -> None: ... + +global___TopicEventCERequest = TopicEventCERequest + +@typing.final +class TopicEventBulkRequestEntry(google.protobuf.message.Message): + """TopicEventBulkRequestEntry represents a single message inside a bulk request""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + ENTRY_ID_FIELD_NUMBER: builtins.int + BYTES_FIELD_NUMBER: builtins.int + CLOUD_EVENT_FIELD_NUMBER: builtins.int + CONTENT_TYPE_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + entry_id: builtins.str + """Unique identifier for the message.""" + bytes: builtins.bytes + content_type: builtins.str + """content type of the event contained.""" + @property + def cloud_event(self) -> global___TopicEventCERequest: ... + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata associated with the event.""" + + def __init__( + self, + *, + entry_id: builtins.str = ..., + bytes: builtins.bytes = ..., + cloud_event: global___TopicEventCERequest | None = ..., + content_type: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["bytes", b"bytes", "cloud_event", b"cloud_event", "event", b"event"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["bytes", b"bytes", "cloud_event", b"cloud_event", "content_type", b"content_type", "entry_id", b"entry_id", "event", b"event", "metadata", b"metadata"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["event", b"event"]) -> typing.Literal["bytes", "cloud_event"] | None: ... + +global___TopicEventBulkRequestEntry = TopicEventBulkRequestEntry + +@typing.final +class TopicEventBulkRequest(google.protobuf.message.Message): + """TopicEventBulkRequest represents request for bulk message""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + ID_FIELD_NUMBER: builtins.int + ENTRIES_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + TOPIC_FIELD_NUMBER: builtins.int + PUBSUB_NAME_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + PATH_FIELD_NUMBER: builtins.int + id: builtins.str + """Unique identifier for the bulk request.""" + topic: builtins.str + """The pubsub topic which publisher sent to.""" + pubsub_name: builtins.str + """The name of the pubsub the publisher sent to.""" + type: builtins.str + """The type of event related to the originating occurrence.""" + path: builtins.str + """The matching path from TopicSubscription/routes (if specified) for this event. + This value is used by OnTopicEvent to "switch" inside the handler. + """ + @property + def entries(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TopicEventBulkRequestEntry]: + """The list of items inside this bulk request.""" + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata associated with the this bulk request.""" + + def __init__( + self, + *, + id: builtins.str = ..., + entries: collections.abc.Iterable[global___TopicEventBulkRequestEntry] | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + topic: builtins.str = ..., + pubsub_name: builtins.str = ..., + type: builtins.str = ..., + path: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["entries", b"entries", "id", b"id", "metadata", b"metadata", "path", b"path", "pubsub_name", b"pubsub_name", "topic", b"topic", "type", b"type"]) -> None: ... + +global___TopicEventBulkRequest = TopicEventBulkRequest + +@typing.final +class TopicEventBulkResponseEntry(google.protobuf.message.Message): + """TopicEventBulkResponseEntry Represents single response, as part of TopicEventBulkResponse, to be + sent by subscibed App for the corresponding single message during bulk subscribe + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ENTRY_ID_FIELD_NUMBER: builtins.int + STATUS_FIELD_NUMBER: builtins.int + entry_id: builtins.str + """Unique identifier associated the message.""" + status: global___TopicEventResponse.TopicEventResponseStatus.ValueType + """The status of the response.""" + def __init__( + self, + *, + entry_id: builtins.str = ..., + status: global___TopicEventResponse.TopicEventResponseStatus.ValueType = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["entry_id", b"entry_id", "status", b"status"]) -> None: ... + +global___TopicEventBulkResponseEntry = TopicEventBulkResponseEntry + +@typing.final +class TopicEventBulkResponse(google.protobuf.message.Message): + """AppBulkResponse is response from app on published message""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + STATUSES_FIELD_NUMBER: builtins.int + @property + def statuses(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TopicEventBulkResponseEntry]: + """The list of all responses for the bulk request.""" + + def __init__( + self, + *, + statuses: collections.abc.Iterable[global___TopicEventBulkResponseEntry] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["statuses", b"statuses"]) -> None: ... + +global___TopicEventBulkResponse = TopicEventBulkResponse + +@typing.final +class BindingEventRequest(google.protobuf.message.Message): + """BindingEventRequest represents input bindings event.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + NAME_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + name: builtins.str + """Required. The name of the input binding component.""" + data: builtins.bytes + """Required. The payload that the input bindings sent""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata set by the input binging components.""" + + def __init__( + self, + *, + name: builtins.str = ..., + data: builtins.bytes = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "metadata", b"metadata", "name", b"name"]) -> None: ... + +global___BindingEventRequest = BindingEventRequest + +@typing.final +class BindingEventResponse(google.protobuf.message.Message): + """BindingEventResponse includes operations to save state or + send data to output bindings optionally. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + class _BindingEventConcurrency: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _BindingEventConcurrencyEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[BindingEventResponse._BindingEventConcurrency.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + SEQUENTIAL: BindingEventResponse._BindingEventConcurrency.ValueType # 0 + """SEQUENTIAL sends data to output bindings specified in "to" sequentially.""" + PARALLEL: BindingEventResponse._BindingEventConcurrency.ValueType # 1 + """PARALLEL sends data to output bindings specified in "to" in parallel.""" + + class BindingEventConcurrency(_BindingEventConcurrency, metaclass=_BindingEventConcurrencyEnumTypeWrapper): + """BindingEventConcurrency is the kind of concurrency""" + + SEQUENTIAL: BindingEventResponse.BindingEventConcurrency.ValueType # 0 + """SEQUENTIAL sends data to output bindings specified in "to" sequentially.""" + PARALLEL: BindingEventResponse.BindingEventConcurrency.ValueType # 1 + """PARALLEL sends data to output bindings specified in "to" in parallel.""" + + STORE_NAME_FIELD_NUMBER: builtins.int + STATES_FIELD_NUMBER: builtins.int + TO_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + CONCURRENCY_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of state store where states are saved.""" + data: builtins.bytes + """The content which will be sent to "to" output bindings.""" + concurrency: global___BindingEventResponse.BindingEventConcurrency.ValueType + """The concurrency of output bindings to send data to + "to" output bindings list. The default is SEQUENTIAL. + """ + @property + def states(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[dapr.proto.common.v1.common_pb2.StateItem]: + """The state key values which will be stored in store_name.""" + + @property + def to(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: + """The list of output bindings.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + states: collections.abc.Iterable[dapr.proto.common.v1.common_pb2.StateItem] | None = ..., + to: collections.abc.Iterable[builtins.str] | None = ..., + data: builtins.bytes = ..., + concurrency: global___BindingEventResponse.BindingEventConcurrency.ValueType = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["concurrency", b"concurrency", "data", b"data", "states", b"states", "store_name", b"store_name", "to", b"to"]) -> None: ... + +global___BindingEventResponse = BindingEventResponse + +@typing.final +class ListTopicSubscriptionsResponse(google.protobuf.message.Message): + """ListTopicSubscriptionsResponse is the message including the list of the subscribing topics.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + SUBSCRIPTIONS_FIELD_NUMBER: builtins.int + @property + def subscriptions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TopicSubscription]: + """The list of topics.""" + + def __init__( + self, + *, + subscriptions: collections.abc.Iterable[global___TopicSubscription] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["subscriptions", b"subscriptions"]) -> None: ... + +global___ListTopicSubscriptionsResponse = ListTopicSubscriptionsResponse + +@typing.final +class TopicSubscription(google.protobuf.message.Message): + """TopicSubscription represents topic and metadata.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + PUBSUB_NAME_FIELD_NUMBER: builtins.int + TOPIC_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + ROUTES_FIELD_NUMBER: builtins.int + DEAD_LETTER_TOPIC_FIELD_NUMBER: builtins.int + BULK_SUBSCRIBE_FIELD_NUMBER: builtins.int + pubsub_name: builtins.str + """Required. The name of the pubsub containing the topic below to subscribe to.""" + topic: builtins.str + """Required. The name of topic which will be subscribed""" + dead_letter_topic: builtins.str + """The optional dead letter queue for this topic to send events to.""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The optional properties used for this topic's subscription e.g. session id""" + + @property + def routes(self) -> global___TopicRoutes: + """The optional routing rules to match against. In the gRPC interface, OnTopicEvent + is still invoked but the matching path is sent in the TopicEventRequest. + """ + + @property + def bulk_subscribe(self) -> global___BulkSubscribeConfig: + """The optional bulk subscribe settings for this topic.""" + + def __init__( + self, + *, + pubsub_name: builtins.str = ..., + topic: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + routes: global___TopicRoutes | None = ..., + dead_letter_topic: builtins.str = ..., + bulk_subscribe: global___BulkSubscribeConfig | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["bulk_subscribe", b"bulk_subscribe", "routes", b"routes"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["bulk_subscribe", b"bulk_subscribe", "dead_letter_topic", b"dead_letter_topic", "metadata", b"metadata", "pubsub_name", b"pubsub_name", "routes", b"routes", "topic", b"topic"]) -> None: ... + +global___TopicSubscription = TopicSubscription + +@typing.final +class TopicRoutes(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + RULES_FIELD_NUMBER: builtins.int + DEFAULT_FIELD_NUMBER: builtins.int + default: builtins.str + """The default path for this topic.""" + @property + def rules(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TopicRule]: + """The list of rules for this topic.""" + + def __init__( + self, + *, + rules: collections.abc.Iterable[global___TopicRule] | None = ..., + default: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["default", b"default", "rules", b"rules"]) -> None: ... + +global___TopicRoutes = TopicRoutes + +@typing.final +class TopicRule(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + MATCH_FIELD_NUMBER: builtins.int + PATH_FIELD_NUMBER: builtins.int + match: builtins.str + """The optional CEL expression used to match the event. + If the match is not specified, then the route is considered + the default. + """ + path: builtins.str + """The path used to identify matches for this subscription. + This value is passed in TopicEventRequest and used by OnTopicEvent to "switch" + inside the handler. + """ + def __init__( + self, + *, + match: builtins.str = ..., + path: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["match", b"match", "path", b"path"]) -> None: ... + +global___TopicRule = TopicRule + +@typing.final +class BulkSubscribeConfig(google.protobuf.message.Message): + """BulkSubscribeConfig is the message to pass settings for bulk subscribe""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ENABLED_FIELD_NUMBER: builtins.int + MAX_MESSAGES_COUNT_FIELD_NUMBER: builtins.int + MAX_AWAIT_DURATION_MS_FIELD_NUMBER: builtins.int + enabled: builtins.bool + """Required. Flag to enable/disable bulk subscribe""" + max_messages_count: builtins.int + """Optional. Max number of messages to be sent in a single bulk request""" + max_await_duration_ms: builtins.int + """Optional. Max duration to wait for messages to be sent in a single bulk request""" + def __init__( + self, + *, + enabled: builtins.bool = ..., + max_messages_count: builtins.int = ..., + max_await_duration_ms: builtins.int = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["enabled", b"enabled", "max_await_duration_ms", b"max_await_duration_ms", "max_messages_count", b"max_messages_count"]) -> None: ... + +global___BulkSubscribeConfig = BulkSubscribeConfig + +@typing.final +class ListInputBindingsResponse(google.protobuf.message.Message): + """ListInputBindingsResponse is the message including the list of input bindings.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + BINDINGS_FIELD_NUMBER: builtins.int + @property + def bindings(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: + """The list of input bindings.""" + + def __init__( + self, + *, + bindings: collections.abc.Iterable[builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["bindings", b"bindings"]) -> None: ... + +global___ListInputBindingsResponse = ListInputBindingsResponse + +@typing.final +class HealthCheckResponse(google.protobuf.message.Message): + """HealthCheckResponse is the message with the response to the health check. + This message is currently empty as used as placeholder. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___HealthCheckResponse = HealthCheckResponse diff --git a/tools/dapr/proto/runtime/v1/appcallback_pb2_grpc.py b/tools/dapr/proto/runtime/v1/appcallback_pb2_grpc.py new file mode 100644 index 000000000..b203f7db0 --- /dev/null +++ b/tools/dapr/proto/runtime/v1/appcallback_pb2_grpc.py @@ -0,0 +1,387 @@ +# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! +"""Client and server classes corresponding to protobuf-defined services.""" +import grpc + +from dapr.proto.common.v1 import common_pb2 as dapr_dot_proto_dot_common_dot_v1_dot_common__pb2 +from dapr.proto.runtime.v1 import appcallback_pb2 as dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2 +from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 + + +class AppCallbackStub(object): + """AppCallback V1 allows user application to interact with Dapr runtime. + User application needs to implement AppCallback service if it needs to + receive message from dapr runtime. + """ + + def __init__(self, channel): + """Constructor. + + Args: + channel: A grpc.Channel. + """ + self.OnInvoke = channel.unary_unary( + '/dapr.proto.runtime.v1.AppCallback/OnInvoke', + request_serializer=dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeResponse.FromString, + ) + self.ListTopicSubscriptions = channel.unary_unary( + '/dapr.proto.runtime.v1.AppCallback/ListTopicSubscriptions', + request_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.ListTopicSubscriptionsResponse.FromString, + ) + self.OnTopicEvent = channel.unary_unary( + '/dapr.proto.runtime.v1.AppCallback/OnTopicEvent', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventResponse.FromString, + ) + self.ListInputBindings = channel.unary_unary( + '/dapr.proto.runtime.v1.AppCallback/ListInputBindings', + request_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.ListInputBindingsResponse.FromString, + ) + self.OnBindingEvent = channel.unary_unary( + '/dapr.proto.runtime.v1.AppCallback/OnBindingEvent', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.BindingEventRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.BindingEventResponse.FromString, + ) + + +class AppCallbackServicer(object): + """AppCallback V1 allows user application to interact with Dapr runtime. + User application needs to implement AppCallback service if it needs to + receive message from dapr runtime. + """ + + def OnInvoke(self, request, context): + """Invokes service method with InvokeRequest. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ListTopicSubscriptions(self, request, context): + """Lists all topics subscribed by this app. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def OnTopicEvent(self, request, context): + """Subscribes events from Pubsub + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ListInputBindings(self, request, context): + """Lists all input bindings subscribed by this app. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def OnBindingEvent(self, request, context): + """Listens events from the input bindings + + User application can save the states or send the events to the output + bindings optionally by returning BindingEventResponse. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + +def add_AppCallbackServicer_to_server(servicer, server): + rpc_method_handlers = { + 'OnInvoke': grpc.unary_unary_rpc_method_handler( + servicer.OnInvoke, + request_deserializer=dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeRequest.FromString, + response_serializer=dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeResponse.SerializeToString, + ), + 'ListTopicSubscriptions': grpc.unary_unary_rpc_method_handler( + servicer.ListTopicSubscriptions, + request_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.ListTopicSubscriptionsResponse.SerializeToString, + ), + 'OnTopicEvent': grpc.unary_unary_rpc_method_handler( + servicer.OnTopicEvent, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventResponse.SerializeToString, + ), + 'ListInputBindings': grpc.unary_unary_rpc_method_handler( + servicer.ListInputBindings, + request_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.ListInputBindingsResponse.SerializeToString, + ), + 'OnBindingEvent': grpc.unary_unary_rpc_method_handler( + servicer.OnBindingEvent, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.BindingEventRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.BindingEventResponse.SerializeToString, + ), + } + generic_handler = grpc.method_handlers_generic_handler( + 'dapr.proto.runtime.v1.AppCallback', rpc_method_handlers) + server.add_generic_rpc_handlers((generic_handler,)) + + + # This class is part of an EXPERIMENTAL API. +class AppCallback(object): + """AppCallback V1 allows user application to interact with Dapr runtime. + User application needs to implement AppCallback service if it needs to + receive message from dapr runtime. + """ + + @staticmethod + def OnInvoke(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.AppCallback/OnInvoke', + dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeRequest.SerializeToString, + dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ListTopicSubscriptions(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.AppCallback/ListTopicSubscriptions', + google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.ListTopicSubscriptionsResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def OnTopicEvent(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.AppCallback/OnTopicEvent', + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ListInputBindings(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.AppCallback/ListInputBindings', + google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.ListInputBindingsResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def OnBindingEvent(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.AppCallback/OnBindingEvent', + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.BindingEventRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.BindingEventResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + +class AppCallbackHealthCheckStub(object): + """AppCallbackHealthCheck V1 is an optional extension to AppCallback V1 to implement + the HealthCheck method. + """ + + def __init__(self, channel): + """Constructor. + + Args: + channel: A grpc.Channel. + """ + self.HealthCheck = channel.unary_unary( + '/dapr.proto.runtime.v1.AppCallbackHealthCheck/HealthCheck', + request_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.HealthCheckResponse.FromString, + ) + + +class AppCallbackHealthCheckServicer(object): + """AppCallbackHealthCheck V1 is an optional extension to AppCallback V1 to implement + the HealthCheck method. + """ + + def HealthCheck(self, request, context): + """Health check. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + +def add_AppCallbackHealthCheckServicer_to_server(servicer, server): + rpc_method_handlers = { + 'HealthCheck': grpc.unary_unary_rpc_method_handler( + servicer.HealthCheck, + request_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.HealthCheckResponse.SerializeToString, + ), + } + generic_handler = grpc.method_handlers_generic_handler( + 'dapr.proto.runtime.v1.AppCallbackHealthCheck', rpc_method_handlers) + server.add_generic_rpc_handlers((generic_handler,)) + + + # This class is part of an EXPERIMENTAL API. +class AppCallbackHealthCheck(object): + """AppCallbackHealthCheck V1 is an optional extension to AppCallback V1 to implement + the HealthCheck method. + """ + + @staticmethod + def HealthCheck(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.AppCallbackHealthCheck/HealthCheck', + google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.HealthCheckResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + +class AppCallbackAlphaStub(object): + """AppCallbackAlpha V1 is an optional extension to AppCallback V1 to opt + for Alpha RPCs. + """ + + def __init__(self, channel): + """Constructor. + + Args: + channel: A grpc.Channel. + """ + self.OnBulkTopicEventAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.AppCallbackAlpha/OnBulkTopicEventAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventBulkRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventBulkResponse.FromString, + ) + self.OnJobEventAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.AppCallbackAlpha/OnJobEventAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.JobEventRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.JobEventResponse.FromString, + ) + + +class AppCallbackAlphaServicer(object): + """AppCallbackAlpha V1 is an optional extension to AppCallback V1 to opt + for Alpha RPCs. + """ + + def OnBulkTopicEventAlpha1(self, request, context): + """Subscribes bulk events from Pubsub + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def OnJobEventAlpha1(self, request, context): + """Sends job back to the app's endpoint at trigger time. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + +def add_AppCallbackAlphaServicer_to_server(servicer, server): + rpc_method_handlers = { + 'OnBulkTopicEventAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.OnBulkTopicEventAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventBulkRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventBulkResponse.SerializeToString, + ), + 'OnJobEventAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.OnJobEventAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.JobEventRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.JobEventResponse.SerializeToString, + ), + } + generic_handler = grpc.method_handlers_generic_handler( + 'dapr.proto.runtime.v1.AppCallbackAlpha', rpc_method_handlers) + server.add_generic_rpc_handlers((generic_handler,)) + + + # This class is part of an EXPERIMENTAL API. +class AppCallbackAlpha(object): + """AppCallbackAlpha V1 is an optional extension to AppCallback V1 to opt + for Alpha RPCs. + """ + + @staticmethod + def OnBulkTopicEventAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.AppCallbackAlpha/OnBulkTopicEventAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventBulkRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.TopicEventBulkResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def OnJobEventAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.AppCallbackAlpha/OnJobEventAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.JobEventRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2.JobEventResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) diff --git a/tools/dapr/proto/runtime/v1/dapr_pb2.py b/tools/dapr/proto/runtime/v1/dapr_pb2.py new file mode 100644 index 000000000..f373fcb9c --- /dev/null +++ b/tools/dapr/proto/runtime/v1/dapr_pb2.py @@ -0,0 +1,1650 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: dapr/proto/runtime/v1/dapr.proto +"""Generated protocol buffer code.""" +from google.protobuf.internal import enum_type_wrapper +from google.protobuf import descriptor as _descriptor +from google.protobuf import descriptor_pool as _descriptor_pool +from google.protobuf import message as _message +from google.protobuf import reflection as _reflection +from google.protobuf import symbol_database as _symbol_database +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + +from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 +from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 +from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 +from dapr.proto.common.v1 import common_pb2 as dapr_dot_proto_dot_common_dot_v1_dot_common__pb2 +from dapr.proto.runtime.v1 import appcallback_pb2 as dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2 + + +DESCRIPTOR = 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+ +_PUBSUBSUBSCRIPTIONTYPE = DESCRIPTOR.enum_types_by_name['PubsubSubscriptionType'] +PubsubSubscriptionType = enum_type_wrapper.EnumTypeWrapper(_PUBSUBSUBSCRIPTIONTYPE) +UNKNOWN = 0 +DECLARATIVE = 1 +PROGRAMMATIC = 2 +STREAMING = 3 + + +_INVOKESERVICEREQUEST = DESCRIPTOR.message_types_by_name['InvokeServiceRequest'] +_GETSTATEREQUEST = DESCRIPTOR.message_types_by_name['GetStateRequest'] +_GETSTATEREQUEST_METADATAENTRY = _GETSTATEREQUEST.nested_types_by_name['MetadataEntry'] +_GETBULKSTATEREQUEST = DESCRIPTOR.message_types_by_name['GetBulkStateRequest'] +_GETBULKSTATEREQUEST_METADATAENTRY = _GETBULKSTATEREQUEST.nested_types_by_name['MetadataEntry'] +_GETBULKSTATERESPONSE = DESCRIPTOR.message_types_by_name['GetBulkStateResponse'] +_BULKSTATEITEM = DESCRIPTOR.message_types_by_name['BulkStateItem'] +_BULKSTATEITEM_METADATAENTRY = _BULKSTATEITEM.nested_types_by_name['MetadataEntry'] +_GETSTATERESPONSE = DESCRIPTOR.message_types_by_name['GetStateResponse'] +_GETSTATERESPONSE_METADATAENTRY = _GETSTATERESPONSE.nested_types_by_name['MetadataEntry'] +_DELETESTATEREQUEST = DESCRIPTOR.message_types_by_name['DeleteStateRequest'] +_DELETESTATEREQUEST_METADATAENTRY = _DELETESTATEREQUEST.nested_types_by_name['MetadataEntry'] +_DELETEBULKSTATEREQUEST = DESCRIPTOR.message_types_by_name['DeleteBulkStateRequest'] +_SAVESTATEREQUEST = DESCRIPTOR.message_types_by_name['SaveStateRequest'] +_QUERYSTATEREQUEST = DESCRIPTOR.message_types_by_name['QueryStateRequest'] +_QUERYSTATEREQUEST_METADATAENTRY = _QUERYSTATEREQUEST.nested_types_by_name['MetadataEntry'] +_QUERYSTATEITEM = DESCRIPTOR.message_types_by_name['QueryStateItem'] +_QUERYSTATERESPONSE = DESCRIPTOR.message_types_by_name['QueryStateResponse'] +_QUERYSTATERESPONSE_METADATAENTRY = _QUERYSTATERESPONSE.nested_types_by_name['MetadataEntry'] +_PUBLISHEVENTREQUEST = DESCRIPTOR.message_types_by_name['PublishEventRequest'] +_PUBLISHEVENTREQUEST_METADATAENTRY = _PUBLISHEVENTREQUEST.nested_types_by_name['MetadataEntry'] +_BULKPUBLISHREQUEST = DESCRIPTOR.message_types_by_name['BulkPublishRequest'] +_BULKPUBLISHREQUEST_METADATAENTRY = _BULKPUBLISHREQUEST.nested_types_by_name['MetadataEntry'] +_BULKPUBLISHREQUESTENTRY = DESCRIPTOR.message_types_by_name['BulkPublishRequestEntry'] +_BULKPUBLISHREQUESTENTRY_METADATAENTRY = _BULKPUBLISHREQUESTENTRY.nested_types_by_name['MetadataEntry'] +_BULKPUBLISHRESPONSE = DESCRIPTOR.message_types_by_name['BulkPublishResponse'] +_BULKPUBLISHRESPONSEFAILEDENTRY = DESCRIPTOR.message_types_by_name['BulkPublishResponseFailedEntry'] +_SUBSCRIBETOPICEVENTSREQUESTALPHA1 = DESCRIPTOR.message_types_by_name['SubscribeTopicEventsRequestAlpha1'] +_SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1 = DESCRIPTOR.message_types_by_name['SubscribeTopicEventsRequestInitialAlpha1'] +_SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1_METADATAENTRY = _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1.nested_types_by_name['MetadataEntry'] +_SUBSCRIBETOPICEVENTSREQUESTPROCESSEDALPHA1 = DESCRIPTOR.message_types_by_name['SubscribeTopicEventsRequestProcessedAlpha1'] +_SUBSCRIBETOPICEVENTSRESPONSEALPHA1 = DESCRIPTOR.message_types_by_name['SubscribeTopicEventsResponseAlpha1'] +_SUBSCRIBETOPICEVENTSRESPONSEINITIALALPHA1 = DESCRIPTOR.message_types_by_name['SubscribeTopicEventsResponseInitialAlpha1'] +_INVOKEBINDINGREQUEST = DESCRIPTOR.message_types_by_name['InvokeBindingRequest'] +_INVOKEBINDINGREQUEST_METADATAENTRY = _INVOKEBINDINGREQUEST.nested_types_by_name['MetadataEntry'] +_INVOKEBINDINGRESPONSE = DESCRIPTOR.message_types_by_name['InvokeBindingResponse'] +_INVOKEBINDINGRESPONSE_METADATAENTRY = _INVOKEBINDINGRESPONSE.nested_types_by_name['MetadataEntry'] +_GETSECRETREQUEST = DESCRIPTOR.message_types_by_name['GetSecretRequest'] +_GETSECRETREQUEST_METADATAENTRY = _GETSECRETREQUEST.nested_types_by_name['MetadataEntry'] +_GETSECRETRESPONSE = DESCRIPTOR.message_types_by_name['GetSecretResponse'] +_GETSECRETRESPONSE_DATAENTRY = _GETSECRETRESPONSE.nested_types_by_name['DataEntry'] +_GETBULKSECRETREQUEST = DESCRIPTOR.message_types_by_name['GetBulkSecretRequest'] +_GETBULKSECRETREQUEST_METADATAENTRY = _GETBULKSECRETREQUEST.nested_types_by_name['MetadataEntry'] +_SECRETRESPONSE = DESCRIPTOR.message_types_by_name['SecretResponse'] +_SECRETRESPONSE_SECRETSENTRY = _SECRETRESPONSE.nested_types_by_name['SecretsEntry'] +_GETBULKSECRETRESPONSE = DESCRIPTOR.message_types_by_name['GetBulkSecretResponse'] +_GETBULKSECRETRESPONSE_DATAENTRY = _GETBULKSECRETRESPONSE.nested_types_by_name['DataEntry'] +_TRANSACTIONALSTATEOPERATION = DESCRIPTOR.message_types_by_name['TransactionalStateOperation'] +_EXECUTESTATETRANSACTIONREQUEST = DESCRIPTOR.message_types_by_name['ExecuteStateTransactionRequest'] +_EXECUTESTATETRANSACTIONREQUEST_METADATAENTRY = _EXECUTESTATETRANSACTIONREQUEST.nested_types_by_name['MetadataEntry'] +_REGISTERACTORTIMERREQUEST = DESCRIPTOR.message_types_by_name['RegisterActorTimerRequest'] +_UNREGISTERACTORTIMERREQUEST = DESCRIPTOR.message_types_by_name['UnregisterActorTimerRequest'] +_REGISTERACTORREMINDERREQUEST = DESCRIPTOR.message_types_by_name['RegisterActorReminderRequest'] +_UNREGISTERACTORREMINDERREQUEST = DESCRIPTOR.message_types_by_name['UnregisterActorReminderRequest'] +_GETACTORSTATEREQUEST = DESCRIPTOR.message_types_by_name['GetActorStateRequest'] +_GETACTORSTATERESPONSE = DESCRIPTOR.message_types_by_name['GetActorStateResponse'] +_GETACTORSTATERESPONSE_METADATAENTRY = _GETACTORSTATERESPONSE.nested_types_by_name['MetadataEntry'] +_EXECUTEACTORSTATETRANSACTIONREQUEST = DESCRIPTOR.message_types_by_name['ExecuteActorStateTransactionRequest'] +_TRANSACTIONALACTORSTATEOPERATION = DESCRIPTOR.message_types_by_name['TransactionalActorStateOperation'] +_TRANSACTIONALACTORSTATEOPERATION_METADATAENTRY = _TRANSACTIONALACTORSTATEOPERATION.nested_types_by_name['MetadataEntry'] +_INVOKEACTORREQUEST = DESCRIPTOR.message_types_by_name['InvokeActorRequest'] +_INVOKEACTORREQUEST_METADATAENTRY = _INVOKEACTORREQUEST.nested_types_by_name['MetadataEntry'] +_INVOKEACTORRESPONSE = DESCRIPTOR.message_types_by_name['InvokeActorResponse'] +_GETMETADATAREQUEST = DESCRIPTOR.message_types_by_name['GetMetadataRequest'] +_GETMETADATARESPONSE = DESCRIPTOR.message_types_by_name['GetMetadataResponse'] +_GETMETADATARESPONSE_EXTENDEDMETADATAENTRY = _GETMETADATARESPONSE.nested_types_by_name['ExtendedMetadataEntry'] +_METADATASCHEDULER = DESCRIPTOR.message_types_by_name['MetadataScheduler'] +_ACTORRUNTIME = DESCRIPTOR.message_types_by_name['ActorRuntime'] +_ACTIVEACTORSCOUNT = DESCRIPTOR.message_types_by_name['ActiveActorsCount'] +_REGISTEREDCOMPONENTS = DESCRIPTOR.message_types_by_name['RegisteredComponents'] +_METADATAHTTPENDPOINT = DESCRIPTOR.message_types_by_name['MetadataHTTPEndpoint'] +_APPCONNECTIONPROPERTIES = DESCRIPTOR.message_types_by_name['AppConnectionProperties'] +_APPCONNECTIONHEALTHPROPERTIES = DESCRIPTOR.message_types_by_name['AppConnectionHealthProperties'] +_PUBSUBSUBSCRIPTION = DESCRIPTOR.message_types_by_name['PubsubSubscription'] +_PUBSUBSUBSCRIPTION_METADATAENTRY = _PUBSUBSUBSCRIPTION.nested_types_by_name['MetadataEntry'] +_PUBSUBSUBSCRIPTIONRULES = DESCRIPTOR.message_types_by_name['PubsubSubscriptionRules'] +_PUBSUBSUBSCRIPTIONRULE = DESCRIPTOR.message_types_by_name['PubsubSubscriptionRule'] +_SETMETADATAREQUEST = DESCRIPTOR.message_types_by_name['SetMetadataRequest'] +_GETCONFIGURATIONREQUEST = DESCRIPTOR.message_types_by_name['GetConfigurationRequest'] +_GETCONFIGURATIONREQUEST_METADATAENTRY = _GETCONFIGURATIONREQUEST.nested_types_by_name['MetadataEntry'] +_GETCONFIGURATIONRESPONSE = DESCRIPTOR.message_types_by_name['GetConfigurationResponse'] +_GETCONFIGURATIONRESPONSE_ITEMSENTRY = _GETCONFIGURATIONRESPONSE.nested_types_by_name['ItemsEntry'] +_SUBSCRIBECONFIGURATIONREQUEST = DESCRIPTOR.message_types_by_name['SubscribeConfigurationRequest'] +_SUBSCRIBECONFIGURATIONREQUEST_METADATAENTRY = _SUBSCRIBECONFIGURATIONREQUEST.nested_types_by_name['MetadataEntry'] +_UNSUBSCRIBECONFIGURATIONREQUEST = DESCRIPTOR.message_types_by_name['UnsubscribeConfigurationRequest'] +_SUBSCRIBECONFIGURATIONRESPONSE = DESCRIPTOR.message_types_by_name['SubscribeConfigurationResponse'] +_SUBSCRIBECONFIGURATIONRESPONSE_ITEMSENTRY = _SUBSCRIBECONFIGURATIONRESPONSE.nested_types_by_name['ItemsEntry'] +_UNSUBSCRIBECONFIGURATIONRESPONSE = DESCRIPTOR.message_types_by_name['UnsubscribeConfigurationResponse'] +_TRYLOCKREQUEST = DESCRIPTOR.message_types_by_name['TryLockRequest'] +_TRYLOCKRESPONSE = DESCRIPTOR.message_types_by_name['TryLockResponse'] +_UNLOCKREQUEST = DESCRIPTOR.message_types_by_name['UnlockRequest'] +_UNLOCKRESPONSE = DESCRIPTOR.message_types_by_name['UnlockResponse'] +_SUBTLEGETKEYREQUEST = DESCRIPTOR.message_types_by_name['SubtleGetKeyRequest'] +_SUBTLEGETKEYRESPONSE = DESCRIPTOR.message_types_by_name['SubtleGetKeyResponse'] +_SUBTLEENCRYPTREQUEST = DESCRIPTOR.message_types_by_name['SubtleEncryptRequest'] +_SUBTLEENCRYPTRESPONSE = DESCRIPTOR.message_types_by_name['SubtleEncryptResponse'] +_SUBTLEDECRYPTREQUEST = DESCRIPTOR.message_types_by_name['SubtleDecryptRequest'] +_SUBTLEDECRYPTRESPONSE = DESCRIPTOR.message_types_by_name['SubtleDecryptResponse'] +_SUBTLEWRAPKEYREQUEST = DESCRIPTOR.message_types_by_name['SubtleWrapKeyRequest'] +_SUBTLEWRAPKEYRESPONSE = DESCRIPTOR.message_types_by_name['SubtleWrapKeyResponse'] +_SUBTLEUNWRAPKEYREQUEST = DESCRIPTOR.message_types_by_name['SubtleUnwrapKeyRequest'] +_SUBTLEUNWRAPKEYRESPONSE = DESCRIPTOR.message_types_by_name['SubtleUnwrapKeyResponse'] +_SUBTLESIGNREQUEST = DESCRIPTOR.message_types_by_name['SubtleSignRequest'] +_SUBTLESIGNRESPONSE = DESCRIPTOR.message_types_by_name['SubtleSignResponse'] +_SUBTLEVERIFYREQUEST = DESCRIPTOR.message_types_by_name['SubtleVerifyRequest'] +_SUBTLEVERIFYRESPONSE = DESCRIPTOR.message_types_by_name['SubtleVerifyResponse'] +_ENCRYPTREQUEST = DESCRIPTOR.message_types_by_name['EncryptRequest'] +_ENCRYPTREQUESTOPTIONS = DESCRIPTOR.message_types_by_name['EncryptRequestOptions'] +_ENCRYPTRESPONSE = DESCRIPTOR.message_types_by_name['EncryptResponse'] +_DECRYPTREQUEST = DESCRIPTOR.message_types_by_name['DecryptRequest'] +_DECRYPTREQUESTOPTIONS = DESCRIPTOR.message_types_by_name['DecryptRequestOptions'] +_DECRYPTRESPONSE = DESCRIPTOR.message_types_by_name['DecryptResponse'] +_GETWORKFLOWREQUEST = DESCRIPTOR.message_types_by_name['GetWorkflowRequest'] +_GETWORKFLOWRESPONSE = DESCRIPTOR.message_types_by_name['GetWorkflowResponse'] +_GETWORKFLOWRESPONSE_PROPERTIESENTRY = _GETWORKFLOWRESPONSE.nested_types_by_name['PropertiesEntry'] +_STARTWORKFLOWREQUEST = DESCRIPTOR.message_types_by_name['StartWorkflowRequest'] +_STARTWORKFLOWREQUEST_OPTIONSENTRY = _STARTWORKFLOWREQUEST.nested_types_by_name['OptionsEntry'] +_STARTWORKFLOWRESPONSE = DESCRIPTOR.message_types_by_name['StartWorkflowResponse'] +_TERMINATEWORKFLOWREQUEST = DESCRIPTOR.message_types_by_name['TerminateWorkflowRequest'] +_PAUSEWORKFLOWREQUEST = DESCRIPTOR.message_types_by_name['PauseWorkflowRequest'] +_RESUMEWORKFLOWREQUEST = DESCRIPTOR.message_types_by_name['ResumeWorkflowRequest'] +_RAISEEVENTWORKFLOWREQUEST = DESCRIPTOR.message_types_by_name['RaiseEventWorkflowRequest'] +_PURGEWORKFLOWREQUEST = DESCRIPTOR.message_types_by_name['PurgeWorkflowRequest'] +_SHUTDOWNREQUEST = DESCRIPTOR.message_types_by_name['ShutdownRequest'] +_JOB = DESCRIPTOR.message_types_by_name['Job'] +_SCHEDULEJOBREQUEST = DESCRIPTOR.message_types_by_name['ScheduleJobRequest'] +_SCHEDULEJOBRESPONSE = DESCRIPTOR.message_types_by_name['ScheduleJobResponse'] +_GETJOBREQUEST = DESCRIPTOR.message_types_by_name['GetJobRequest'] +_GETJOBRESPONSE = DESCRIPTOR.message_types_by_name['GetJobResponse'] +_DELETEJOBREQUEST = DESCRIPTOR.message_types_by_name['DeleteJobRequest'] +_DELETEJOBRESPONSE = DESCRIPTOR.message_types_by_name['DeleteJobResponse'] +_CONVERSATIONREQUEST = DESCRIPTOR.message_types_by_name['ConversationRequest'] +_CONVERSATIONREQUEST_PARAMETERSENTRY = _CONVERSATIONREQUEST.nested_types_by_name['ParametersEntry'] +_CONVERSATIONREQUEST_METADATAENTRY = _CONVERSATIONREQUEST.nested_types_by_name['MetadataEntry'] +_CONVERSATIONINPUT = DESCRIPTOR.message_types_by_name['ConversationInput'] +_CONTENTPART = DESCRIPTOR.message_types_by_name['ContentPart'] +_TEXTCONTENT = DESCRIPTOR.message_types_by_name['TextContent'] +_TOOLCALLCONTENT = DESCRIPTOR.message_types_by_name['ToolCallContent'] +_TOOLRESULTCONTENT = DESCRIPTOR.message_types_by_name['ToolResultContent'] +_CONVERSATIONRESULT = DESCRIPTOR.message_types_by_name['ConversationResult'] +_CONVERSATIONRESULT_PARAMETERSENTRY = _CONVERSATIONRESULT.nested_types_by_name['ParametersEntry'] +_CONVERSATIONRESPONSE = DESCRIPTOR.message_types_by_name['ConversationResponse'] +_CONVERSATIONSTREAMRESPONSE = DESCRIPTOR.message_types_by_name['ConversationStreamResponse'] +_CONVERSATIONSTREAMCHUNK = DESCRIPTOR.message_types_by_name['ConversationStreamChunk'] +_CONVERSATIONSTREAMCOMPLETE = DESCRIPTOR.message_types_by_name['ConversationStreamComplete'] +_CONVERSATIONUSAGE = DESCRIPTOR.message_types_by_name['ConversationUsage'] +_TOOL = DESCRIPTOR.message_types_by_name['Tool'] +_TOOLCALL = DESCRIPTOR.message_types_by_name['ToolCall'] +_ACTORRUNTIME_ACTORRUNTIMESTATUS = _ACTORRUNTIME.enum_types_by_name['ActorRuntimeStatus'] +_UNLOCKRESPONSE_STATUS = _UNLOCKRESPONSE.enum_types_by_name['Status'] +_SUBTLEGETKEYREQUEST_KEYFORMAT = _SUBTLEGETKEYREQUEST.enum_types_by_name['KeyFormat'] +InvokeServiceRequest = _reflection.GeneratedProtocolMessageType('InvokeServiceRequest', (_message.Message,), { + 'DESCRIPTOR' : _INVOKESERVICEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.InvokeServiceRequest) + }) +_sym_db.RegisterMessage(InvokeServiceRequest) + +GetStateRequest = _reflection.GeneratedProtocolMessageType('GetStateRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETSTATEREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetStateRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _GETSTATEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetStateRequest) + }) +_sym_db.RegisterMessage(GetStateRequest) +_sym_db.RegisterMessage(GetStateRequest.MetadataEntry) + +GetBulkStateRequest = _reflection.GeneratedProtocolMessageType('GetBulkStateRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETBULKSTATEREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetBulkStateRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _GETBULKSTATEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetBulkStateRequest) + }) +_sym_db.RegisterMessage(GetBulkStateRequest) +_sym_db.RegisterMessage(GetBulkStateRequest.MetadataEntry) + +GetBulkStateResponse = _reflection.GeneratedProtocolMessageType('GetBulkStateResponse', (_message.Message,), { + 'DESCRIPTOR' : _GETBULKSTATERESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetBulkStateResponse) + }) +_sym_db.RegisterMessage(GetBulkStateResponse) + +BulkStateItem = _reflection.GeneratedProtocolMessageType('BulkStateItem', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _BULKSTATEITEM_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkStateItem.MetadataEntry) + }) + , + 'DESCRIPTOR' : _BULKSTATEITEM, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkStateItem) + }) +_sym_db.RegisterMessage(BulkStateItem) +_sym_db.RegisterMessage(BulkStateItem.MetadataEntry) + +GetStateResponse = _reflection.GeneratedProtocolMessageType('GetStateResponse', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETSTATERESPONSE_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetStateResponse.MetadataEntry) + }) + , + 'DESCRIPTOR' : _GETSTATERESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetStateResponse) + }) +_sym_db.RegisterMessage(GetStateResponse) +_sym_db.RegisterMessage(GetStateResponse.MetadataEntry) + +DeleteStateRequest = _reflection.GeneratedProtocolMessageType('DeleteStateRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _DELETESTATEREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.DeleteStateRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _DELETESTATEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.DeleteStateRequest) + }) +_sym_db.RegisterMessage(DeleteStateRequest) +_sym_db.RegisterMessage(DeleteStateRequest.MetadataEntry) + +DeleteBulkStateRequest = _reflection.GeneratedProtocolMessageType('DeleteBulkStateRequest', (_message.Message,), { + 'DESCRIPTOR' : _DELETEBULKSTATEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.DeleteBulkStateRequest) + }) +_sym_db.RegisterMessage(DeleteBulkStateRequest) + +SaveStateRequest = _reflection.GeneratedProtocolMessageType('SaveStateRequest', (_message.Message,), { + 'DESCRIPTOR' : _SAVESTATEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SaveStateRequest) + }) +_sym_db.RegisterMessage(SaveStateRequest) + +QueryStateRequest = _reflection.GeneratedProtocolMessageType('QueryStateRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _QUERYSTATEREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.QueryStateRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _QUERYSTATEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.QueryStateRequest) + }) +_sym_db.RegisterMessage(QueryStateRequest) +_sym_db.RegisterMessage(QueryStateRequest.MetadataEntry) + +QueryStateItem = _reflection.GeneratedProtocolMessageType('QueryStateItem', (_message.Message,), { + 'DESCRIPTOR' : _QUERYSTATEITEM, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.QueryStateItem) + }) +_sym_db.RegisterMessage(QueryStateItem) + +QueryStateResponse = _reflection.GeneratedProtocolMessageType('QueryStateResponse', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _QUERYSTATERESPONSE_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.QueryStateResponse.MetadataEntry) + }) + , + 'DESCRIPTOR' : _QUERYSTATERESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.QueryStateResponse) + }) +_sym_db.RegisterMessage(QueryStateResponse) +_sym_db.RegisterMessage(QueryStateResponse.MetadataEntry) + +PublishEventRequest = _reflection.GeneratedProtocolMessageType('PublishEventRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _PUBLISHEVENTREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.PublishEventRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _PUBLISHEVENTREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.PublishEventRequest) + }) +_sym_db.RegisterMessage(PublishEventRequest) +_sym_db.RegisterMessage(PublishEventRequest.MetadataEntry) + +BulkPublishRequest = _reflection.GeneratedProtocolMessageType('BulkPublishRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _BULKPUBLISHREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkPublishRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _BULKPUBLISHREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkPublishRequest) + }) +_sym_db.RegisterMessage(BulkPublishRequest) +_sym_db.RegisterMessage(BulkPublishRequest.MetadataEntry) + +BulkPublishRequestEntry = _reflection.GeneratedProtocolMessageType('BulkPublishRequestEntry', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _BULKPUBLISHREQUESTENTRY_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkPublishRequestEntry.MetadataEntry) + }) + , + 'DESCRIPTOR' : _BULKPUBLISHREQUESTENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkPublishRequestEntry) + }) +_sym_db.RegisterMessage(BulkPublishRequestEntry) +_sym_db.RegisterMessage(BulkPublishRequestEntry.MetadataEntry) + +BulkPublishResponse = _reflection.GeneratedProtocolMessageType('BulkPublishResponse', (_message.Message,), { + 'DESCRIPTOR' : _BULKPUBLISHRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkPublishResponse) + }) +_sym_db.RegisterMessage(BulkPublishResponse) + +BulkPublishResponseFailedEntry = _reflection.GeneratedProtocolMessageType('BulkPublishResponseFailedEntry', (_message.Message,), { + 'DESCRIPTOR' : _BULKPUBLISHRESPONSEFAILEDENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.BulkPublishResponseFailedEntry) + }) +_sym_db.RegisterMessage(BulkPublishResponseFailedEntry) + +SubscribeTopicEventsRequestAlpha1 = _reflection.GeneratedProtocolMessageType('SubscribeTopicEventsRequestAlpha1', (_message.Message,), { + 'DESCRIPTOR' : _SUBSCRIBETOPICEVENTSREQUESTALPHA1, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeTopicEventsRequestAlpha1) + }) +_sym_db.RegisterMessage(SubscribeTopicEventsRequestAlpha1) + +SubscribeTopicEventsRequestInitialAlpha1 = _reflection.GeneratedProtocolMessageType('SubscribeTopicEventsRequestInitialAlpha1', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeTopicEventsRequestInitialAlpha1.MetadataEntry) + }) + , + 'DESCRIPTOR' : _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeTopicEventsRequestInitialAlpha1) + }) +_sym_db.RegisterMessage(SubscribeTopicEventsRequestInitialAlpha1) +_sym_db.RegisterMessage(SubscribeTopicEventsRequestInitialAlpha1.MetadataEntry) + +SubscribeTopicEventsRequestProcessedAlpha1 = _reflection.GeneratedProtocolMessageType('SubscribeTopicEventsRequestProcessedAlpha1', (_message.Message,), { + 'DESCRIPTOR' : _SUBSCRIBETOPICEVENTSREQUESTPROCESSEDALPHA1, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeTopicEventsRequestProcessedAlpha1) + }) +_sym_db.RegisterMessage(SubscribeTopicEventsRequestProcessedAlpha1) + +SubscribeTopicEventsResponseAlpha1 = _reflection.GeneratedProtocolMessageType('SubscribeTopicEventsResponseAlpha1', (_message.Message,), { + 'DESCRIPTOR' : _SUBSCRIBETOPICEVENTSRESPONSEALPHA1, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeTopicEventsResponseAlpha1) + }) +_sym_db.RegisterMessage(SubscribeTopicEventsResponseAlpha1) + +SubscribeTopicEventsResponseInitialAlpha1 = _reflection.GeneratedProtocolMessageType('SubscribeTopicEventsResponseInitialAlpha1', (_message.Message,), { + 'DESCRIPTOR' : _SUBSCRIBETOPICEVENTSRESPONSEINITIALALPHA1, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeTopicEventsResponseInitialAlpha1) + }) +_sym_db.RegisterMessage(SubscribeTopicEventsResponseInitialAlpha1) + +InvokeBindingRequest = _reflection.GeneratedProtocolMessageType('InvokeBindingRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _INVOKEBINDINGREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.InvokeBindingRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _INVOKEBINDINGREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.InvokeBindingRequest) + }) +_sym_db.RegisterMessage(InvokeBindingRequest) +_sym_db.RegisterMessage(InvokeBindingRequest.MetadataEntry) + +InvokeBindingResponse = _reflection.GeneratedProtocolMessageType('InvokeBindingResponse', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _INVOKEBINDINGRESPONSE_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.InvokeBindingResponse.MetadataEntry) + }) + , + 'DESCRIPTOR' : _INVOKEBINDINGRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.InvokeBindingResponse) + }) +_sym_db.RegisterMessage(InvokeBindingResponse) +_sym_db.RegisterMessage(InvokeBindingResponse.MetadataEntry) + +GetSecretRequest = _reflection.GeneratedProtocolMessageType('GetSecretRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETSECRETREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetSecretRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _GETSECRETREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetSecretRequest) + }) +_sym_db.RegisterMessage(GetSecretRequest) +_sym_db.RegisterMessage(GetSecretRequest.MetadataEntry) + +GetSecretResponse = _reflection.GeneratedProtocolMessageType('GetSecretResponse', (_message.Message,), { + + 'DataEntry' : _reflection.GeneratedProtocolMessageType('DataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETSECRETRESPONSE_DATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetSecretResponse.DataEntry) + }) + , + 'DESCRIPTOR' : _GETSECRETRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetSecretResponse) + }) +_sym_db.RegisterMessage(GetSecretResponse) +_sym_db.RegisterMessage(GetSecretResponse.DataEntry) + +GetBulkSecretRequest = _reflection.GeneratedProtocolMessageType('GetBulkSecretRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETBULKSECRETREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetBulkSecretRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _GETBULKSECRETREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetBulkSecretRequest) + }) +_sym_db.RegisterMessage(GetBulkSecretRequest) +_sym_db.RegisterMessage(GetBulkSecretRequest.MetadataEntry) + +SecretResponse = _reflection.GeneratedProtocolMessageType('SecretResponse', (_message.Message,), { + + 'SecretsEntry' : _reflection.GeneratedProtocolMessageType('SecretsEntry', (_message.Message,), { + 'DESCRIPTOR' : _SECRETRESPONSE_SECRETSENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SecretResponse.SecretsEntry) + }) + , + 'DESCRIPTOR' : _SECRETRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SecretResponse) + }) +_sym_db.RegisterMessage(SecretResponse) +_sym_db.RegisterMessage(SecretResponse.SecretsEntry) + +GetBulkSecretResponse = _reflection.GeneratedProtocolMessageType('GetBulkSecretResponse', (_message.Message,), { + + 'DataEntry' : _reflection.GeneratedProtocolMessageType('DataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETBULKSECRETRESPONSE_DATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetBulkSecretResponse.DataEntry) + }) + , + 'DESCRIPTOR' : _GETBULKSECRETRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetBulkSecretResponse) + }) +_sym_db.RegisterMessage(GetBulkSecretResponse) +_sym_db.RegisterMessage(GetBulkSecretResponse.DataEntry) + +TransactionalStateOperation = _reflection.GeneratedProtocolMessageType('TransactionalStateOperation', (_message.Message,), { + 'DESCRIPTOR' : _TRANSACTIONALSTATEOPERATION, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TransactionalStateOperation) + }) +_sym_db.RegisterMessage(TransactionalStateOperation) + +ExecuteStateTransactionRequest = _reflection.GeneratedProtocolMessageType('ExecuteStateTransactionRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _EXECUTESTATETRANSACTIONREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ExecuteStateTransactionRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _EXECUTESTATETRANSACTIONREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ExecuteStateTransactionRequest) + }) +_sym_db.RegisterMessage(ExecuteStateTransactionRequest) +_sym_db.RegisterMessage(ExecuteStateTransactionRequest.MetadataEntry) + +RegisterActorTimerRequest = _reflection.GeneratedProtocolMessageType('RegisterActorTimerRequest', (_message.Message,), { + 'DESCRIPTOR' : _REGISTERACTORTIMERREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.RegisterActorTimerRequest) + }) +_sym_db.RegisterMessage(RegisterActorTimerRequest) + +UnregisterActorTimerRequest = _reflection.GeneratedProtocolMessageType('UnregisterActorTimerRequest', (_message.Message,), { + 'DESCRIPTOR' : _UNREGISTERACTORTIMERREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.UnregisterActorTimerRequest) + }) +_sym_db.RegisterMessage(UnregisterActorTimerRequest) + +RegisterActorReminderRequest = _reflection.GeneratedProtocolMessageType('RegisterActorReminderRequest', (_message.Message,), { + 'DESCRIPTOR' : _REGISTERACTORREMINDERREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.RegisterActorReminderRequest) + }) +_sym_db.RegisterMessage(RegisterActorReminderRequest) + +UnregisterActorReminderRequest = _reflection.GeneratedProtocolMessageType('UnregisterActorReminderRequest', (_message.Message,), { + 'DESCRIPTOR' : _UNREGISTERACTORREMINDERREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.UnregisterActorReminderRequest) + }) +_sym_db.RegisterMessage(UnregisterActorReminderRequest) + +GetActorStateRequest = _reflection.GeneratedProtocolMessageType('GetActorStateRequest', (_message.Message,), { + 'DESCRIPTOR' : _GETACTORSTATEREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetActorStateRequest) + }) +_sym_db.RegisterMessage(GetActorStateRequest) + +GetActorStateResponse = _reflection.GeneratedProtocolMessageType('GetActorStateResponse', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETACTORSTATERESPONSE_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetActorStateResponse.MetadataEntry) + }) + , + 'DESCRIPTOR' : _GETACTORSTATERESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetActorStateResponse) + }) +_sym_db.RegisterMessage(GetActorStateResponse) +_sym_db.RegisterMessage(GetActorStateResponse.MetadataEntry) + +ExecuteActorStateTransactionRequest = _reflection.GeneratedProtocolMessageType('ExecuteActorStateTransactionRequest', (_message.Message,), { + 'DESCRIPTOR' : _EXECUTEACTORSTATETRANSACTIONREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ExecuteActorStateTransactionRequest) + }) +_sym_db.RegisterMessage(ExecuteActorStateTransactionRequest) + +TransactionalActorStateOperation = _reflection.GeneratedProtocolMessageType('TransactionalActorStateOperation', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _TRANSACTIONALACTORSTATEOPERATION_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TransactionalActorStateOperation.MetadataEntry) + }) + , + 'DESCRIPTOR' : _TRANSACTIONALACTORSTATEOPERATION, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TransactionalActorStateOperation) + }) +_sym_db.RegisterMessage(TransactionalActorStateOperation) +_sym_db.RegisterMessage(TransactionalActorStateOperation.MetadataEntry) + +InvokeActorRequest = _reflection.GeneratedProtocolMessageType('InvokeActorRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _INVOKEACTORREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.InvokeActorRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _INVOKEACTORREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.InvokeActorRequest) + }) +_sym_db.RegisterMessage(InvokeActorRequest) +_sym_db.RegisterMessage(InvokeActorRequest.MetadataEntry) + +InvokeActorResponse = _reflection.GeneratedProtocolMessageType('InvokeActorResponse', (_message.Message,), { + 'DESCRIPTOR' : _INVOKEACTORRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.InvokeActorResponse) + }) +_sym_db.RegisterMessage(InvokeActorResponse) + +GetMetadataRequest = _reflection.GeneratedProtocolMessageType('GetMetadataRequest', (_message.Message,), { + 'DESCRIPTOR' : _GETMETADATAREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetMetadataRequest) + }) +_sym_db.RegisterMessage(GetMetadataRequest) + +GetMetadataResponse = _reflection.GeneratedProtocolMessageType('GetMetadataResponse', (_message.Message,), { + + 'ExtendedMetadataEntry' : _reflection.GeneratedProtocolMessageType('ExtendedMetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETMETADATARESPONSE_EXTENDEDMETADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetMetadataResponse.ExtendedMetadataEntry) + }) + , + 'DESCRIPTOR' : _GETMETADATARESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetMetadataResponse) + }) +_sym_db.RegisterMessage(GetMetadataResponse) +_sym_db.RegisterMessage(GetMetadataResponse.ExtendedMetadataEntry) + +MetadataScheduler = _reflection.GeneratedProtocolMessageType('MetadataScheduler', (_message.Message,), { + 'DESCRIPTOR' : _METADATASCHEDULER, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.MetadataScheduler) + }) +_sym_db.RegisterMessage(MetadataScheduler) + +ActorRuntime = _reflection.GeneratedProtocolMessageType('ActorRuntime', (_message.Message,), { + 'DESCRIPTOR' : _ACTORRUNTIME, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ActorRuntime) + }) +_sym_db.RegisterMessage(ActorRuntime) + +ActiveActorsCount = _reflection.GeneratedProtocolMessageType('ActiveActorsCount', (_message.Message,), { + 'DESCRIPTOR' : _ACTIVEACTORSCOUNT, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ActiveActorsCount) + }) +_sym_db.RegisterMessage(ActiveActorsCount) + +RegisteredComponents = _reflection.GeneratedProtocolMessageType('RegisteredComponents', (_message.Message,), { + 'DESCRIPTOR' : _REGISTEREDCOMPONENTS, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.RegisteredComponents) + }) +_sym_db.RegisterMessage(RegisteredComponents) + +MetadataHTTPEndpoint = _reflection.GeneratedProtocolMessageType('MetadataHTTPEndpoint', (_message.Message,), { + 'DESCRIPTOR' : _METADATAHTTPENDPOINT, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.MetadataHTTPEndpoint) + }) +_sym_db.RegisterMessage(MetadataHTTPEndpoint) + +AppConnectionProperties = _reflection.GeneratedProtocolMessageType('AppConnectionProperties', (_message.Message,), { + 'DESCRIPTOR' : _APPCONNECTIONPROPERTIES, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.AppConnectionProperties) + }) +_sym_db.RegisterMessage(AppConnectionProperties) + +AppConnectionHealthProperties = _reflection.GeneratedProtocolMessageType('AppConnectionHealthProperties', (_message.Message,), { + 'DESCRIPTOR' : _APPCONNECTIONHEALTHPROPERTIES, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.AppConnectionHealthProperties) + }) +_sym_db.RegisterMessage(AppConnectionHealthProperties) + +PubsubSubscription = _reflection.GeneratedProtocolMessageType('PubsubSubscription', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _PUBSUBSUBSCRIPTION_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.PubsubSubscription.MetadataEntry) + }) + , + 'DESCRIPTOR' : _PUBSUBSUBSCRIPTION, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.PubsubSubscription) + }) +_sym_db.RegisterMessage(PubsubSubscription) +_sym_db.RegisterMessage(PubsubSubscription.MetadataEntry) + +PubsubSubscriptionRules = _reflection.GeneratedProtocolMessageType('PubsubSubscriptionRules', (_message.Message,), { + 'DESCRIPTOR' : _PUBSUBSUBSCRIPTIONRULES, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.PubsubSubscriptionRules) + }) +_sym_db.RegisterMessage(PubsubSubscriptionRules) + +PubsubSubscriptionRule = _reflection.GeneratedProtocolMessageType('PubsubSubscriptionRule', (_message.Message,), { + 'DESCRIPTOR' : _PUBSUBSUBSCRIPTIONRULE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.PubsubSubscriptionRule) + }) +_sym_db.RegisterMessage(PubsubSubscriptionRule) + +SetMetadataRequest = _reflection.GeneratedProtocolMessageType('SetMetadataRequest', (_message.Message,), { + 'DESCRIPTOR' : _SETMETADATAREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SetMetadataRequest) + }) +_sym_db.RegisterMessage(SetMetadataRequest) + +GetConfigurationRequest = _reflection.GeneratedProtocolMessageType('GetConfigurationRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETCONFIGURATIONREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetConfigurationRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _GETCONFIGURATIONREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetConfigurationRequest) + }) +_sym_db.RegisterMessage(GetConfigurationRequest) +_sym_db.RegisterMessage(GetConfigurationRequest.MetadataEntry) + +GetConfigurationResponse = _reflection.GeneratedProtocolMessageType('GetConfigurationResponse', (_message.Message,), { + + 'ItemsEntry' : _reflection.GeneratedProtocolMessageType('ItemsEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETCONFIGURATIONRESPONSE_ITEMSENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetConfigurationResponse.ItemsEntry) + }) + , + 'DESCRIPTOR' : _GETCONFIGURATIONRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetConfigurationResponse) + }) +_sym_db.RegisterMessage(GetConfigurationResponse) +_sym_db.RegisterMessage(GetConfigurationResponse.ItemsEntry) + +SubscribeConfigurationRequest = _reflection.GeneratedProtocolMessageType('SubscribeConfigurationRequest', (_message.Message,), { + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _SUBSCRIBECONFIGURATIONREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeConfigurationRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _SUBSCRIBECONFIGURATIONREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeConfigurationRequest) + }) +_sym_db.RegisterMessage(SubscribeConfigurationRequest) +_sym_db.RegisterMessage(SubscribeConfigurationRequest.MetadataEntry) + +UnsubscribeConfigurationRequest = _reflection.GeneratedProtocolMessageType('UnsubscribeConfigurationRequest', (_message.Message,), { + 'DESCRIPTOR' : _UNSUBSCRIBECONFIGURATIONREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.UnsubscribeConfigurationRequest) + }) +_sym_db.RegisterMessage(UnsubscribeConfigurationRequest) + +SubscribeConfigurationResponse = _reflection.GeneratedProtocolMessageType('SubscribeConfigurationResponse', (_message.Message,), { + + 'ItemsEntry' : _reflection.GeneratedProtocolMessageType('ItemsEntry', (_message.Message,), { + 'DESCRIPTOR' : _SUBSCRIBECONFIGURATIONRESPONSE_ITEMSENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeConfigurationResponse.ItemsEntry) + }) + , + 'DESCRIPTOR' : _SUBSCRIBECONFIGURATIONRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubscribeConfigurationResponse) + }) +_sym_db.RegisterMessage(SubscribeConfigurationResponse) +_sym_db.RegisterMessage(SubscribeConfigurationResponse.ItemsEntry) + +UnsubscribeConfigurationResponse = _reflection.GeneratedProtocolMessageType('UnsubscribeConfigurationResponse', (_message.Message,), { + 'DESCRIPTOR' : _UNSUBSCRIBECONFIGURATIONRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.UnsubscribeConfigurationResponse) + }) +_sym_db.RegisterMessage(UnsubscribeConfigurationResponse) + +TryLockRequest = _reflection.GeneratedProtocolMessageType('TryLockRequest', (_message.Message,), { + 'DESCRIPTOR' : _TRYLOCKREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TryLockRequest) + }) +_sym_db.RegisterMessage(TryLockRequest) + +TryLockResponse = _reflection.GeneratedProtocolMessageType('TryLockResponse', (_message.Message,), { + 'DESCRIPTOR' : _TRYLOCKRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TryLockResponse) + }) +_sym_db.RegisterMessage(TryLockResponse) + +UnlockRequest = _reflection.GeneratedProtocolMessageType('UnlockRequest', (_message.Message,), { + 'DESCRIPTOR' : _UNLOCKREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.UnlockRequest) + }) +_sym_db.RegisterMessage(UnlockRequest) + +UnlockResponse = _reflection.GeneratedProtocolMessageType('UnlockResponse', (_message.Message,), { + 'DESCRIPTOR' : _UNLOCKRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.UnlockResponse) + }) +_sym_db.RegisterMessage(UnlockResponse) + +SubtleGetKeyRequest = _reflection.GeneratedProtocolMessageType('SubtleGetKeyRequest', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEGETKEYREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleGetKeyRequest) + }) +_sym_db.RegisterMessage(SubtleGetKeyRequest) + +SubtleGetKeyResponse = _reflection.GeneratedProtocolMessageType('SubtleGetKeyResponse', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEGETKEYRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleGetKeyResponse) + }) +_sym_db.RegisterMessage(SubtleGetKeyResponse) + +SubtleEncryptRequest = _reflection.GeneratedProtocolMessageType('SubtleEncryptRequest', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEENCRYPTREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleEncryptRequest) + }) +_sym_db.RegisterMessage(SubtleEncryptRequest) + +SubtleEncryptResponse = _reflection.GeneratedProtocolMessageType('SubtleEncryptResponse', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEENCRYPTRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleEncryptResponse) + }) +_sym_db.RegisterMessage(SubtleEncryptResponse) + +SubtleDecryptRequest = _reflection.GeneratedProtocolMessageType('SubtleDecryptRequest', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEDECRYPTREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleDecryptRequest) + }) +_sym_db.RegisterMessage(SubtleDecryptRequest) + +SubtleDecryptResponse = _reflection.GeneratedProtocolMessageType('SubtleDecryptResponse', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEDECRYPTRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleDecryptResponse) + }) +_sym_db.RegisterMessage(SubtleDecryptResponse) + +SubtleWrapKeyRequest = _reflection.GeneratedProtocolMessageType('SubtleWrapKeyRequest', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEWRAPKEYREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleWrapKeyRequest) + }) +_sym_db.RegisterMessage(SubtleWrapKeyRequest) + +SubtleWrapKeyResponse = _reflection.GeneratedProtocolMessageType('SubtleWrapKeyResponse', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEWRAPKEYRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleWrapKeyResponse) + }) +_sym_db.RegisterMessage(SubtleWrapKeyResponse) + +SubtleUnwrapKeyRequest = _reflection.GeneratedProtocolMessageType('SubtleUnwrapKeyRequest', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEUNWRAPKEYREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleUnwrapKeyRequest) + }) +_sym_db.RegisterMessage(SubtleUnwrapKeyRequest) + +SubtleUnwrapKeyResponse = _reflection.GeneratedProtocolMessageType('SubtleUnwrapKeyResponse', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEUNWRAPKEYRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleUnwrapKeyResponse) + }) +_sym_db.RegisterMessage(SubtleUnwrapKeyResponse) + +SubtleSignRequest = _reflection.GeneratedProtocolMessageType('SubtleSignRequest', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLESIGNREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleSignRequest) + }) +_sym_db.RegisterMessage(SubtleSignRequest) + +SubtleSignResponse = _reflection.GeneratedProtocolMessageType('SubtleSignResponse', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLESIGNRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleSignResponse) + }) +_sym_db.RegisterMessage(SubtleSignResponse) + +SubtleVerifyRequest = _reflection.GeneratedProtocolMessageType('SubtleVerifyRequest', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEVERIFYREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleVerifyRequest) + }) +_sym_db.RegisterMessage(SubtleVerifyRequest) + +SubtleVerifyResponse = _reflection.GeneratedProtocolMessageType('SubtleVerifyResponse', (_message.Message,), { + 'DESCRIPTOR' : _SUBTLEVERIFYRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.SubtleVerifyResponse) + }) +_sym_db.RegisterMessage(SubtleVerifyResponse) + +EncryptRequest = _reflection.GeneratedProtocolMessageType('EncryptRequest', (_message.Message,), { + 'DESCRIPTOR' : _ENCRYPTREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.EncryptRequest) + }) +_sym_db.RegisterMessage(EncryptRequest) + +EncryptRequestOptions = _reflection.GeneratedProtocolMessageType('EncryptRequestOptions', (_message.Message,), { + 'DESCRIPTOR' : _ENCRYPTREQUESTOPTIONS, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.EncryptRequestOptions) + }) +_sym_db.RegisterMessage(EncryptRequestOptions) + +EncryptResponse = _reflection.GeneratedProtocolMessageType('EncryptResponse', (_message.Message,), { + 'DESCRIPTOR' : _ENCRYPTRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.EncryptResponse) + }) +_sym_db.RegisterMessage(EncryptResponse) + +DecryptRequest = _reflection.GeneratedProtocolMessageType('DecryptRequest', (_message.Message,), { + 'DESCRIPTOR' : _DECRYPTREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.DecryptRequest) + }) +_sym_db.RegisterMessage(DecryptRequest) + +DecryptRequestOptions = _reflection.GeneratedProtocolMessageType('DecryptRequestOptions', (_message.Message,), { + 'DESCRIPTOR' : _DECRYPTREQUESTOPTIONS, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.DecryptRequestOptions) + }) +_sym_db.RegisterMessage(DecryptRequestOptions) + +DecryptResponse = _reflection.GeneratedProtocolMessageType('DecryptResponse', (_message.Message,), { + 'DESCRIPTOR' : _DECRYPTRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.DecryptResponse) + }) +_sym_db.RegisterMessage(DecryptResponse) + +GetWorkflowRequest = _reflection.GeneratedProtocolMessageType('GetWorkflowRequest', (_message.Message,), { + 'DESCRIPTOR' : _GETWORKFLOWREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetWorkflowRequest) + }) +_sym_db.RegisterMessage(GetWorkflowRequest) + +GetWorkflowResponse = _reflection.GeneratedProtocolMessageType('GetWorkflowResponse', (_message.Message,), { + + 'PropertiesEntry' : _reflection.GeneratedProtocolMessageType('PropertiesEntry', (_message.Message,), { + 'DESCRIPTOR' : _GETWORKFLOWRESPONSE_PROPERTIESENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetWorkflowResponse.PropertiesEntry) + }) + , + 'DESCRIPTOR' : _GETWORKFLOWRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetWorkflowResponse) + }) +_sym_db.RegisterMessage(GetWorkflowResponse) +_sym_db.RegisterMessage(GetWorkflowResponse.PropertiesEntry) + +StartWorkflowRequest = _reflection.GeneratedProtocolMessageType('StartWorkflowRequest', (_message.Message,), { + + 'OptionsEntry' : _reflection.GeneratedProtocolMessageType('OptionsEntry', (_message.Message,), { + 'DESCRIPTOR' : _STARTWORKFLOWREQUEST_OPTIONSENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.StartWorkflowRequest.OptionsEntry) + }) + , + 'DESCRIPTOR' : _STARTWORKFLOWREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.StartWorkflowRequest) + }) +_sym_db.RegisterMessage(StartWorkflowRequest) +_sym_db.RegisterMessage(StartWorkflowRequest.OptionsEntry) + +StartWorkflowResponse = _reflection.GeneratedProtocolMessageType('StartWorkflowResponse', (_message.Message,), { + 'DESCRIPTOR' : _STARTWORKFLOWRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.StartWorkflowResponse) + }) +_sym_db.RegisterMessage(StartWorkflowResponse) + +TerminateWorkflowRequest = _reflection.GeneratedProtocolMessageType('TerminateWorkflowRequest', (_message.Message,), { + 'DESCRIPTOR' : _TERMINATEWORKFLOWREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TerminateWorkflowRequest) + }) +_sym_db.RegisterMessage(TerminateWorkflowRequest) + +PauseWorkflowRequest = _reflection.GeneratedProtocolMessageType('PauseWorkflowRequest', (_message.Message,), { + 'DESCRIPTOR' : _PAUSEWORKFLOWREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.PauseWorkflowRequest) + }) +_sym_db.RegisterMessage(PauseWorkflowRequest) + +ResumeWorkflowRequest = _reflection.GeneratedProtocolMessageType('ResumeWorkflowRequest', (_message.Message,), { + 'DESCRIPTOR' : _RESUMEWORKFLOWREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ResumeWorkflowRequest) + }) +_sym_db.RegisterMessage(ResumeWorkflowRequest) + +RaiseEventWorkflowRequest = _reflection.GeneratedProtocolMessageType('RaiseEventWorkflowRequest', (_message.Message,), { + 'DESCRIPTOR' : _RAISEEVENTWORKFLOWREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.RaiseEventWorkflowRequest) + }) +_sym_db.RegisterMessage(RaiseEventWorkflowRequest) + +PurgeWorkflowRequest = _reflection.GeneratedProtocolMessageType('PurgeWorkflowRequest', (_message.Message,), { + 'DESCRIPTOR' : _PURGEWORKFLOWREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.PurgeWorkflowRequest) + }) +_sym_db.RegisterMessage(PurgeWorkflowRequest) + +ShutdownRequest = _reflection.GeneratedProtocolMessageType('ShutdownRequest', (_message.Message,), { + 'DESCRIPTOR' : _SHUTDOWNREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ShutdownRequest) + }) +_sym_db.RegisterMessage(ShutdownRequest) + +Job = _reflection.GeneratedProtocolMessageType('Job', (_message.Message,), { + 'DESCRIPTOR' : _JOB, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.Job) + }) +_sym_db.RegisterMessage(Job) + +ScheduleJobRequest = _reflection.GeneratedProtocolMessageType('ScheduleJobRequest', (_message.Message,), { + 'DESCRIPTOR' : _SCHEDULEJOBREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ScheduleJobRequest) + }) +_sym_db.RegisterMessage(ScheduleJobRequest) + +ScheduleJobResponse = _reflection.GeneratedProtocolMessageType('ScheduleJobResponse', (_message.Message,), { + 'DESCRIPTOR' : _SCHEDULEJOBRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ScheduleJobResponse) + }) +_sym_db.RegisterMessage(ScheduleJobResponse) + +GetJobRequest = _reflection.GeneratedProtocolMessageType('GetJobRequest', (_message.Message,), { + 'DESCRIPTOR' : _GETJOBREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetJobRequest) + }) +_sym_db.RegisterMessage(GetJobRequest) + +GetJobResponse = _reflection.GeneratedProtocolMessageType('GetJobResponse', (_message.Message,), { + 'DESCRIPTOR' : _GETJOBRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.GetJobResponse) + }) +_sym_db.RegisterMessage(GetJobResponse) + +DeleteJobRequest = _reflection.GeneratedProtocolMessageType('DeleteJobRequest', (_message.Message,), { + 'DESCRIPTOR' : _DELETEJOBREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.DeleteJobRequest) + }) +_sym_db.RegisterMessage(DeleteJobRequest) + +DeleteJobResponse = _reflection.GeneratedProtocolMessageType('DeleteJobResponse', (_message.Message,), { + 'DESCRIPTOR' : _DELETEJOBRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.DeleteJobResponse) + }) +_sym_db.RegisterMessage(DeleteJobResponse) + +ConversationRequest = _reflection.GeneratedProtocolMessageType('ConversationRequest', (_message.Message,), { + + 'ParametersEntry' : _reflection.GeneratedProtocolMessageType('ParametersEntry', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONREQUEST_PARAMETERSENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationRequest.ParametersEntry) + }) + , + + 'MetadataEntry' : _reflection.GeneratedProtocolMessageType('MetadataEntry', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONREQUEST_METADATAENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationRequest.MetadataEntry) + }) + , + 'DESCRIPTOR' : _CONVERSATIONREQUEST, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationRequest) + }) +_sym_db.RegisterMessage(ConversationRequest) +_sym_db.RegisterMessage(ConversationRequest.ParametersEntry) +_sym_db.RegisterMessage(ConversationRequest.MetadataEntry) + +ConversationInput = _reflection.GeneratedProtocolMessageType('ConversationInput', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONINPUT, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationInput) + }) +_sym_db.RegisterMessage(ConversationInput) + +ContentPart = _reflection.GeneratedProtocolMessageType('ContentPart', (_message.Message,), { + 'DESCRIPTOR' : _CONTENTPART, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ContentPart) + }) +_sym_db.RegisterMessage(ContentPart) + +TextContent = _reflection.GeneratedProtocolMessageType('TextContent', (_message.Message,), { + 'DESCRIPTOR' : _TEXTCONTENT, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.TextContent) + }) +_sym_db.RegisterMessage(TextContent) + +ToolCallContent = _reflection.GeneratedProtocolMessageType('ToolCallContent', (_message.Message,), { + 'DESCRIPTOR' : _TOOLCALLCONTENT, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ToolCallContent) + }) +_sym_db.RegisterMessage(ToolCallContent) + +ToolResultContent = _reflection.GeneratedProtocolMessageType('ToolResultContent', (_message.Message,), { + 'DESCRIPTOR' : _TOOLRESULTCONTENT, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ToolResultContent) + }) +_sym_db.RegisterMessage(ToolResultContent) + +ConversationResult = _reflection.GeneratedProtocolMessageType('ConversationResult', (_message.Message,), { + + 'ParametersEntry' : _reflection.GeneratedProtocolMessageType('ParametersEntry', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONRESULT_PARAMETERSENTRY, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationResult.ParametersEntry) + }) + , + 'DESCRIPTOR' : _CONVERSATIONRESULT, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationResult) + }) +_sym_db.RegisterMessage(ConversationResult) +_sym_db.RegisterMessage(ConversationResult.ParametersEntry) + +ConversationResponse = _reflection.GeneratedProtocolMessageType('ConversationResponse', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationResponse) + }) +_sym_db.RegisterMessage(ConversationResponse) + +ConversationStreamResponse = _reflection.GeneratedProtocolMessageType('ConversationStreamResponse', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONSTREAMRESPONSE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationStreamResponse) + }) +_sym_db.RegisterMessage(ConversationStreamResponse) + +ConversationStreamChunk = _reflection.GeneratedProtocolMessageType('ConversationStreamChunk', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONSTREAMCHUNK, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationStreamChunk) + }) +_sym_db.RegisterMessage(ConversationStreamChunk) + +ConversationStreamComplete = _reflection.GeneratedProtocolMessageType('ConversationStreamComplete', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONSTREAMCOMPLETE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationStreamComplete) + }) +_sym_db.RegisterMessage(ConversationStreamComplete) + +ConversationUsage = _reflection.GeneratedProtocolMessageType('ConversationUsage', (_message.Message,), { + 'DESCRIPTOR' : _CONVERSATIONUSAGE, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ConversationUsage) + }) +_sym_db.RegisterMessage(ConversationUsage) + +Tool = _reflection.GeneratedProtocolMessageType('Tool', (_message.Message,), { + 'DESCRIPTOR' : _TOOL, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.Tool) + }) +_sym_db.RegisterMessage(Tool) + +ToolCall = _reflection.GeneratedProtocolMessageType('ToolCall', (_message.Message,), { + 'DESCRIPTOR' : _TOOLCALL, + '__module__' : 'dapr.proto.runtime.v1.dapr_pb2' + # @@protoc_insertion_point(class_scope:dapr.proto.runtime.v1.ToolCall) + }) +_sym_db.RegisterMessage(ToolCall) + +_DAPR = DESCRIPTOR.services_by_name['Dapr'] +if _descriptor._USE_C_DESCRIPTORS == False: + + DESCRIPTOR._options = None + DESCRIPTOR._serialized_options = b'\n\nio.dapr.v1B\nDaprProtosZ1github.com/dapr/dapr/pkg/proto/runtime/v1;runtime\252\002\033Dapr.Client.Autogen.Grpc.v1' + _GETSTATEREQUEST_METADATAENTRY._options = None + _GETSTATEREQUEST_METADATAENTRY._serialized_options = b'8\001' + _GETBULKSTATEREQUEST_METADATAENTRY._options = None + _GETBULKSTATEREQUEST_METADATAENTRY._serialized_options = b'8\001' + _BULKSTATEITEM_METADATAENTRY._options = None + _BULKSTATEITEM_METADATAENTRY._serialized_options = b'8\001' + _GETSTATERESPONSE_METADATAENTRY._options = None + _GETSTATERESPONSE_METADATAENTRY._serialized_options = b'8\001' + _DELETESTATEREQUEST_METADATAENTRY._options = None + _DELETESTATEREQUEST_METADATAENTRY._serialized_options = b'8\001' + _QUERYSTATEREQUEST_METADATAENTRY._options = None + _QUERYSTATEREQUEST_METADATAENTRY._serialized_options = b'8\001' + _QUERYSTATERESPONSE_METADATAENTRY._options = None + _QUERYSTATERESPONSE_METADATAENTRY._serialized_options = b'8\001' + _PUBLISHEVENTREQUEST_METADATAENTRY._options = None + _PUBLISHEVENTREQUEST_METADATAENTRY._serialized_options = b'8\001' + _BULKPUBLISHREQUEST_METADATAENTRY._options = None + _BULKPUBLISHREQUEST_METADATAENTRY._serialized_options = b'8\001' + _BULKPUBLISHREQUESTENTRY_METADATAENTRY._options = None + _BULKPUBLISHREQUESTENTRY_METADATAENTRY._serialized_options = b'8\001' + _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1_METADATAENTRY._options = None + _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1_METADATAENTRY._serialized_options = b'8\001' + _INVOKEBINDINGREQUEST_METADATAENTRY._options = None + _INVOKEBINDINGREQUEST_METADATAENTRY._serialized_options = b'8\001' + _INVOKEBINDINGRESPONSE_METADATAENTRY._options = None + _INVOKEBINDINGRESPONSE_METADATAENTRY._serialized_options = b'8\001' + _GETSECRETREQUEST_METADATAENTRY._options = None + _GETSECRETREQUEST_METADATAENTRY._serialized_options = b'8\001' + _GETSECRETRESPONSE_DATAENTRY._options = None + _GETSECRETRESPONSE_DATAENTRY._serialized_options = b'8\001' + _GETBULKSECRETREQUEST_METADATAENTRY._options = None + _GETBULKSECRETREQUEST_METADATAENTRY._serialized_options = b'8\001' + _SECRETRESPONSE_SECRETSENTRY._options = None + _SECRETRESPONSE_SECRETSENTRY._serialized_options = b'8\001' + _GETBULKSECRETRESPONSE_DATAENTRY._options = None + _GETBULKSECRETRESPONSE_DATAENTRY._serialized_options = b'8\001' + _EXECUTESTATETRANSACTIONREQUEST_METADATAENTRY._options = None + _EXECUTESTATETRANSACTIONREQUEST_METADATAENTRY._serialized_options = b'8\001' + _GETACTORSTATERESPONSE_METADATAENTRY._options = None + _GETACTORSTATERESPONSE_METADATAENTRY._serialized_options = b'8\001' + _TRANSACTIONALACTORSTATEOPERATION_METADATAENTRY._options = None + _TRANSACTIONALACTORSTATEOPERATION_METADATAENTRY._serialized_options = b'8\001' + _INVOKEACTORREQUEST_METADATAENTRY._options = None + _INVOKEACTORREQUEST_METADATAENTRY._serialized_options = b'8\001' + _GETMETADATARESPONSE_EXTENDEDMETADATAENTRY._options = None + _GETMETADATARESPONSE_EXTENDEDMETADATAENTRY._serialized_options = b'8\001' + _GETMETADATARESPONSE.fields_by_name['active_actors_count']._options = None + _GETMETADATARESPONSE.fields_by_name['active_actors_count']._serialized_options = b'\030\001' + _PUBSUBSUBSCRIPTION_METADATAENTRY._options = None + _PUBSUBSUBSCRIPTION_METADATAENTRY._serialized_options = b'8\001' + _GETCONFIGURATIONREQUEST_METADATAENTRY._options = None + _GETCONFIGURATIONREQUEST_METADATAENTRY._serialized_options = b'8\001' + _GETCONFIGURATIONRESPONSE_ITEMSENTRY._options = None + _GETCONFIGURATIONRESPONSE_ITEMSENTRY._serialized_options = b'8\001' + _SUBSCRIBECONFIGURATIONREQUEST_METADATAENTRY._options = None + _SUBSCRIBECONFIGURATIONREQUEST_METADATAENTRY._serialized_options = b'8\001' + _SUBSCRIBECONFIGURATIONRESPONSE_ITEMSENTRY._options = None + _SUBSCRIBECONFIGURATIONRESPONSE_ITEMSENTRY._serialized_options = b'8\001' + _GETWORKFLOWRESPONSE_PROPERTIESENTRY._options = None + _GETWORKFLOWRESPONSE_PROPERTIESENTRY._serialized_options = b'8\001' + _STARTWORKFLOWREQUEST_OPTIONSENTRY._options = None + _STARTWORKFLOWREQUEST_OPTIONSENTRY._serialized_options = b'8\001' + _CONVERSATIONREQUEST_PARAMETERSENTRY._options = None + _CONVERSATIONREQUEST_PARAMETERSENTRY._serialized_options = b'8\001' + _CONVERSATIONREQUEST_METADATAENTRY._options = None + _CONVERSATIONREQUEST_METADATAENTRY._serialized_options = b'8\001' + _CONVERSATIONINPUT.fields_by_name['content']._options = None + _CONVERSATIONINPUT.fields_by_name['content']._serialized_options = b'\030\001' + _CONVERSATIONRESULT_PARAMETERSENTRY._options = None + _CONVERSATIONRESULT_PARAMETERSENTRY._serialized_options = b'8\001' + _CONVERSATIONRESULT.fields_by_name['result']._options = None + _CONVERSATIONRESULT.fields_by_name['result']._serialized_options = b'\030\001' + _DAPR.methods_by_name['StartWorkflowAlpha1']._options = None + _DAPR.methods_by_name['StartWorkflowAlpha1']._serialized_options = b'\210\002\001' + _DAPR.methods_by_name['GetWorkflowAlpha1']._options = None + _DAPR.methods_by_name['GetWorkflowAlpha1']._serialized_options = b'\210\002\001' + _DAPR.methods_by_name['PurgeWorkflowAlpha1']._options = None + _DAPR.methods_by_name['PurgeWorkflowAlpha1']._serialized_options = b'\210\002\001' + _DAPR.methods_by_name['TerminateWorkflowAlpha1']._options = None + _DAPR.methods_by_name['TerminateWorkflowAlpha1']._serialized_options = b'\210\002\001' + _DAPR.methods_by_name['PauseWorkflowAlpha1']._options = None + _DAPR.methods_by_name['PauseWorkflowAlpha1']._serialized_options = b'\210\002\001' + _DAPR.methods_by_name['ResumeWorkflowAlpha1']._options = None + _DAPR.methods_by_name['ResumeWorkflowAlpha1']._serialized_options = b'\210\002\001' + _DAPR.methods_by_name['RaiseEventWorkflowAlpha1']._options = None + _DAPR.methods_by_name['RaiseEventWorkflowAlpha1']._serialized_options = b'\210\002\001' + _PUBSUBSUBSCRIPTIONTYPE._serialized_start=17913 + _PUBSUBSUBSCRIPTIONTYPE._serialized_end=18000 + _INVOKESERVICEREQUEST._serialized_start=224 + _INVOKESERVICEREQUEST._serialized_end=312 + _GETSTATEREQUEST._serialized_start=315 + _GETSTATEREQUEST._serialized_end=560 + _GETSTATEREQUEST_METADATAENTRY._serialized_start=513 + _GETSTATEREQUEST_METADATAENTRY._serialized_end=560 + _GETBULKSTATEREQUEST._serialized_start=563 + _GETBULKSTATEREQUEST._serialized_end=764 + _GETBULKSTATEREQUEST_METADATAENTRY._serialized_start=513 + _GETBULKSTATEREQUEST_METADATAENTRY._serialized_end=560 + _GETBULKSTATERESPONSE._serialized_start=766 + _GETBULKSTATERESPONSE._serialized_end=841 + _BULKSTATEITEM._serialized_start=844 + _BULKSTATEITEM._serialized_end=1034 + _BULKSTATEITEM_METADATAENTRY._serialized_start=513 + _BULKSTATEITEM_METADATAENTRY._serialized_end=560 + _GETSTATERESPONSE._serialized_start=1037 + _GETSTATERESPONSE._serialized_end=1205 + _GETSTATERESPONSE_METADATAENTRY._serialized_start=513 + _GETSTATERESPONSE_METADATAENTRY._serialized_end=560 + _DELETESTATEREQUEST._serialized_start=1208 + _DELETESTATEREQUEST._serialized_end=1480 + _DELETESTATEREQUEST_METADATAENTRY._serialized_start=513 + _DELETESTATEREQUEST_METADATAENTRY._serialized_end=560 + _DELETEBULKSTATEREQUEST._serialized_start=1482 + _DELETEBULKSTATEREQUEST._serialized_end=1575 + _SAVESTATEREQUEST._serialized_start=1577 + _SAVESTATEREQUEST._serialized_end=1664 + _QUERYSTATEREQUEST._serialized_start=1667 + _QUERYSTATEREQUEST._serialized_end=1855 + _QUERYSTATEREQUEST_METADATAENTRY._serialized_start=513 + _QUERYSTATEREQUEST_METADATAENTRY._serialized_end=560 + _QUERYSTATEITEM._serialized_start=1857 + _QUERYSTATEITEM._serialized_end=1929 + _QUERYSTATERESPONSE._serialized_start=1932 + _QUERYSTATERESPONSE._serialized_end=2147 + _QUERYSTATERESPONSE_METADATAENTRY._serialized_start=513 + _QUERYSTATERESPONSE_METADATAENTRY._serialized_end=560 + _PUBLISHEVENTREQUEST._serialized_start=2150 + _PUBLISHEVENTREQUEST._serialized_end=2373 + _PUBLISHEVENTREQUEST_METADATAENTRY._serialized_start=513 + _PUBLISHEVENTREQUEST_METADATAENTRY._serialized_end=560 + _BULKPUBLISHREQUEST._serialized_start=2376 + _BULKPUBLISHREQUEST._serialized_end=2621 + _BULKPUBLISHREQUEST_METADATAENTRY._serialized_start=513 + _BULKPUBLISHREQUEST_METADATAENTRY._serialized_end=560 + _BULKPUBLISHREQUESTENTRY._serialized_start=2624 + _BULKPUBLISHREQUESTENTRY._serialized_end=2833 + _BULKPUBLISHREQUESTENTRY_METADATAENTRY._serialized_start=513 + _BULKPUBLISHREQUESTENTRY_METADATAENTRY._serialized_end=560 + _BULKPUBLISHRESPONSE._serialized_start=2835 + _BULKPUBLISHRESPONSE._serialized_end=2934 + _BULKPUBLISHRESPONSEFAILEDENTRY._serialized_start=2936 + _BULKPUBLISHRESPONSEFAILEDENTRY._serialized_end=3001 + _SUBSCRIBETOPICEVENTSREQUESTALPHA1._serialized_start=3004 + _SUBSCRIBETOPICEVENTSREQUESTALPHA1._serialized_end=3264 + _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1._serialized_start=3267 + _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1._serialized_end=3545 + _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1_METADATAENTRY._serialized_start=513 + _SUBSCRIBETOPICEVENTSREQUESTINITIALALPHA1_METADATAENTRY._serialized_end=560 + _SUBSCRIBETOPICEVENTSREQUESTPROCESSEDALPHA1._serialized_start=3547 + _SUBSCRIBETOPICEVENTSREQUESTPROCESSEDALPHA1._serialized_end=3662 + _SUBSCRIBETOPICEVENTSRESPONSEALPHA1._serialized_start=3665 + _SUBSCRIBETOPICEVENTSRESPONSEALPHA1._serialized_end=3902 + _SUBSCRIBETOPICEVENTSRESPONSEINITIALALPHA1._serialized_start=3904 + _SUBSCRIBETOPICEVENTSRESPONSEINITIALALPHA1._serialized_end=3947 + _INVOKEBINDINGREQUEST._serialized_start=3950 + _INVOKEBINDINGREQUEST._serialized_end=4145 + _INVOKEBINDINGREQUEST_METADATAENTRY._serialized_start=513 + _INVOKEBINDINGREQUEST_METADATAENTRY._serialized_end=560 + _INVOKEBINDINGRESPONSE._serialized_start=4148 + _INVOKEBINDINGRESPONSE._serialized_end=4312 + _INVOKEBINDINGRESPONSE_METADATAENTRY._serialized_start=513 + _INVOKEBINDINGRESPONSE_METADATAENTRY._serialized_end=560 + _GETSECRETREQUEST._serialized_start=4315 + _GETSECRETREQUEST._serialized_end=4499 + _GETSECRETREQUEST_METADATAENTRY._serialized_start=513 + _GETSECRETREQUEST_METADATAENTRY._serialized_end=560 + _GETSECRETRESPONSE._serialized_start=4502 + _GETSECRETRESPONSE._serialized_end=4632 + _GETSECRETRESPONSE_DATAENTRY._serialized_start=4589 + _GETSECRETRESPONSE_DATAENTRY._serialized_end=4632 + _GETBULKSECRETREQUEST._serialized_start=4635 + _GETBULKSECRETREQUEST._serialized_end=4814 + _GETBULKSECRETREQUEST_METADATAENTRY._serialized_start=513 + _GETBULKSECRETREQUEST_METADATAENTRY._serialized_end=560 + _SECRETRESPONSE._serialized_start=4817 + _SECRETRESPONSE._serialized_end=4950 + _SECRETRESPONSE_SECRETSENTRY._serialized_start=4904 + _SECRETRESPONSE_SECRETSENTRY._serialized_end=4950 + _GETBULKSECRETRESPONSE._serialized_start=4953 + _GETBULKSECRETRESPONSE._serialized_end=5130 + _GETBULKSECRETRESPONSE_DATAENTRY._serialized_start=5048 + _GETBULKSECRETRESPONSE_DATAENTRY._serialized_end=5130 + _TRANSACTIONALSTATEOPERATION._serialized_start=5132 + _TRANSACTIONALSTATEOPERATION._serialized_end=5234 + _EXECUTESTATETRANSACTIONREQUEST._serialized_start=5237 + _EXECUTESTATETRANSACTIONREQUEST._serialized_end=5496 + _EXECUTESTATETRANSACTIONREQUEST_METADATAENTRY._serialized_start=513 + _EXECUTESTATETRANSACTIONREQUEST_METADATAENTRY._serialized_end=560 + _REGISTERACTORTIMERREQUEST._serialized_start=5499 + _REGISTERACTORTIMERREQUEST._serialized_end=5686 + _UNREGISTERACTORTIMERREQUEST._serialized_start=5688 + _UNREGISTERACTORTIMERREQUEST._serialized_end=5789 + _REGISTERACTORREMINDERREQUEST._serialized_start=5792 + _REGISTERACTORREMINDERREQUEST._serialized_end=5964 + _UNREGISTERACTORREMINDERREQUEST._serialized_start=5966 + _UNREGISTERACTORREMINDERREQUEST._serialized_end=6070 + _GETACTORSTATEREQUEST._serialized_start=6072 + _GETACTORSTATEREQUEST._serialized_end=6165 + _GETACTORSTATERESPONSE._serialized_start=6168 + _GETACTORSTATERESPONSE._serialized_end=6332 + _GETACTORSTATERESPONSE_METADATAENTRY._serialized_start=513 + _GETACTORSTATERESPONSE_METADATAENTRY._serialized_end=560 + _EXECUTEACTORSTATETRANSACTIONREQUEST._serialized_start=6335 + _EXECUTEACTORSTATETRANSACTIONREQUEST._serialized_end=6507 + _TRANSACTIONALACTORSTATEOPERATION._serialized_start=6510 + _TRANSACTIONALACTORSTATEOPERATION._serialized_end=6755 + _TRANSACTIONALACTORSTATEOPERATION_METADATAENTRY._serialized_start=513 + _TRANSACTIONALACTORSTATEOPERATION_METADATAENTRY._serialized_end=560 + _INVOKEACTORREQUEST._serialized_start=6758 + _INVOKEACTORREQUEST._serialized_end=6990 + _INVOKEACTORREQUEST_METADATAENTRY._serialized_start=513 + _INVOKEACTORREQUEST_METADATAENTRY._serialized_end=560 + _INVOKEACTORRESPONSE._serialized_start=6992 + _INVOKEACTORRESPONSE._serialized_end=7027 + _GETMETADATAREQUEST._serialized_start=7029 + _GETMETADATAREQUEST._serialized_end=7049 + _GETMETADATARESPONSE._serialized_start=7052 + _GETMETADATARESPONSE._serialized_end=7938 + _GETMETADATARESPONSE_EXTENDEDMETADATAENTRY._serialized_start=7869 + _GETMETADATARESPONSE_EXTENDEDMETADATAENTRY._serialized_end=7924 + _METADATASCHEDULER._serialized_start=7940 + _METADATASCHEDULER._serialized_end=7988 + _ACTORRUNTIME._serialized_start=7991 + _ACTORRUNTIME._serialized_end=8307 + _ACTORRUNTIME_ACTORRUNTIMESTATUS._serialized_start=8242 + _ACTORRUNTIME_ACTORRUNTIMESTATUS._serialized_end=8307 + _ACTIVEACTORSCOUNT._serialized_start=8309 + _ACTIVEACTORSCOUNT._serialized_end=8357 + _REGISTEREDCOMPONENTS._serialized_start=8359 + _REGISTEREDCOMPONENTS._serialized_end=8448 + _METADATAHTTPENDPOINT._serialized_start=8450 + _METADATAHTTPENDPOINT._serialized_end=8492 + _APPCONNECTIONPROPERTIES._serialized_start=8495 + _APPCONNECTIONPROPERTIES._serialized_end=8704 + _APPCONNECTIONHEALTHPROPERTIES._serialized_start=8707 + _APPCONNECTIONHEALTHPROPERTIES._serialized_end=8927 + _PUBSUBSUBSCRIPTION._serialized_start=8930 + _PUBSUBSUBSCRIPTION._serialized_end=9320 + _PUBSUBSUBSCRIPTION_METADATAENTRY._serialized_start=513 + _PUBSUBSUBSCRIPTION_METADATAENTRY._serialized_end=560 + _PUBSUBSUBSCRIPTIONRULES._serialized_start=9322 + _PUBSUBSUBSCRIPTIONRULES._serialized_end=9409 + _PUBSUBSUBSCRIPTIONRULE._serialized_start=9411 + _PUBSUBSUBSCRIPTIONRULE._serialized_end=9464 + _SETMETADATAREQUEST._serialized_start=9466 + _SETMETADATAREQUEST._serialized_end=9514 + _GETCONFIGURATIONREQUEST._serialized_start=9517 + _GETCONFIGURATIONREQUEST._serialized_end=9705 + _GETCONFIGURATIONREQUEST_METADATAENTRY._serialized_start=513 + _GETCONFIGURATIONREQUEST_METADATAENTRY._serialized_end=560 + _GETCONFIGURATIONRESPONSE._serialized_start=9708 + _GETCONFIGURATIONRESPONSE._serialized_end=9896 + _GETCONFIGURATIONRESPONSE_ITEMSENTRY._serialized_start=9811 + _GETCONFIGURATIONRESPONSE_ITEMSENTRY._serialized_end=9896 + _SUBSCRIBECONFIGURATIONREQUEST._serialized_start=9899 + _SUBSCRIBECONFIGURATIONREQUEST._serialized_end=10099 + _SUBSCRIBECONFIGURATIONREQUEST_METADATAENTRY._serialized_start=513 + _SUBSCRIBECONFIGURATIONREQUEST_METADATAENTRY._serialized_end=560 + _UNSUBSCRIBECONFIGURATIONREQUEST._serialized_start=10101 + _UNSUBSCRIBECONFIGURATIONREQUEST._serialized_end=10166 + _SUBSCRIBECONFIGURATIONRESPONSE._serialized_start=10169 + _SUBSCRIBECONFIGURATIONRESPONSE._serialized_end=10381 + _SUBSCRIBECONFIGURATIONRESPONSE_ITEMSENTRY._serialized_start=9811 + _SUBSCRIBECONFIGURATIONRESPONSE_ITEMSENTRY._serialized_end=9896 + _UNSUBSCRIBECONFIGURATIONRESPONSE._serialized_start=10383 + _UNSUBSCRIBECONFIGURATIONRESPONSE._serialized_end=10446 + _TRYLOCKREQUEST._serialized_start=10449 + _TRYLOCKREQUEST._serialized_end=10604 + _TRYLOCKRESPONSE._serialized_start=10606 + _TRYLOCKRESPONSE._serialized_end=10640 + _UNLOCKREQUEST._serialized_start=10642 + _UNLOCKREQUEST._serialized_end=10752 + _UNLOCKRESPONSE._serialized_start=10755 + _UNLOCKRESPONSE._serialized_end=10929 + _UNLOCKRESPONSE_STATUS._serialized_start=10835 + _UNLOCKRESPONSE_STATUS._serialized_end=10929 + _SUBTLEGETKEYREQUEST._serialized_start=10932 + _SUBTLEGETKEYREQUEST._serialized_end=11108 + _SUBTLEGETKEYREQUEST_KEYFORMAT._serialized_start=11078 + _SUBTLEGETKEYREQUEST_KEYFORMAT._serialized_end=11108 + _SUBTLEGETKEYRESPONSE._serialized_start=11110 + _SUBTLEGETKEYRESPONSE._serialized_end=11177 + _SUBTLEENCRYPTREQUEST._serialized_start=11180 + _SUBTLEENCRYPTREQUEST._serialized_end=11362 + _SUBTLEENCRYPTRESPONSE._serialized_start=11364 + _SUBTLEENCRYPTRESPONSE._serialized_end=11420 + _SUBTLEDECRYPTREQUEST._serialized_start=11423 + _SUBTLEDECRYPTREQUEST._serialized_end=11619 + _SUBTLEDECRYPTRESPONSE._serialized_start=11621 + _SUBTLEDECRYPTRESPONSE._serialized_end=11663 + _SUBTLEWRAPKEYREQUEST._serialized_start=11666 + _SUBTLEWRAPKEYREQUEST._serialized_end=11866 + _SUBTLEWRAPKEYRESPONSE._serialized_start=11868 + _SUBTLEWRAPKEYRESPONSE._serialized_end=11937 + _SUBTLEUNWRAPKEYREQUEST._serialized_start=11940 + _SUBTLEUNWRAPKEYREQUEST._serialized_end=12151 + _SUBTLEUNWRAPKEYRESPONSE._serialized_start=12153 + _SUBTLEUNWRAPKEYRESPONSE._serialized_end=12215 + _SUBTLESIGNREQUEST._serialized_start=12217 + _SUBTLESIGNREQUEST._serialized_end=12337 + _SUBTLESIGNRESPONSE._serialized_start=12339 + _SUBTLESIGNRESPONSE._serialized_end=12378 + _SUBTLEVERIFYREQUEST._serialized_start=12381 + _SUBTLEVERIFYREQUEST._serialized_end=12522 + _SUBTLEVERIFYRESPONSE._serialized_start=12524 + _SUBTLEVERIFYRESPONSE._serialized_end=12561 + _ENCRYPTREQUEST._serialized_start=12564 + _ENCRYPTREQUEST._serialized_end=12697 + _ENCRYPTREQUESTOPTIONS._serialized_start=12700 + _ENCRYPTREQUESTOPTIONS._serialized_end=12954 + _ENCRYPTRESPONSE._serialized_start=12956 + _ENCRYPTRESPONSE._serialized_end=13027 + _DECRYPTREQUEST._serialized_start=13030 + _DECRYPTREQUEST._serialized_end=13163 + _DECRYPTREQUESTOPTIONS._serialized_start=13165 + _DECRYPTREQUESTOPTIONS._serialized_end=13254 + _DECRYPTRESPONSE._serialized_start=13256 + _DECRYPTRESPONSE._serialized_end=13327 + _GETWORKFLOWREQUEST._serialized_start=13329 + _GETWORKFLOWREQUEST._serialized_end=13429 + _GETWORKFLOWRESPONSE._serialized_start=13432 + _GETWORKFLOWRESPONSE._serialized_end=13820 + _GETWORKFLOWRESPONSE_PROPERTIESENTRY._serialized_start=13771 + _GETWORKFLOWRESPONSE_PROPERTIESENTRY._serialized_end=13820 + _STARTWORKFLOWREQUEST._serialized_start=13823 + _STARTWORKFLOWREQUEST._serialized_end=14100 + _STARTWORKFLOWREQUEST_OPTIONSENTRY._serialized_start=14054 + _STARTWORKFLOWREQUEST_OPTIONSENTRY._serialized_end=14100 + _STARTWORKFLOWRESPONSE._serialized_start=14102 + _STARTWORKFLOWRESPONSE._serialized_end=14158 + _TERMINATEWORKFLOWREQUEST._serialized_start=14160 + _TERMINATEWORKFLOWREQUEST._serialized_end=14266 + _PAUSEWORKFLOWREQUEST._serialized_start=14268 + _PAUSEWORKFLOWREQUEST._serialized_end=14370 + _RESUMEWORKFLOWREQUEST._serialized_start=14372 + _RESUMEWORKFLOWREQUEST._serialized_end=14475 + _RAISEEVENTWORKFLOWREQUEST._serialized_start=14478 + _RAISEEVENTWORKFLOWREQUEST._serialized_end=14636 + _PURGEWORKFLOWREQUEST._serialized_start=14638 + _PURGEWORKFLOWREQUEST._serialized_end=14740 + _SHUTDOWNREQUEST._serialized_start=14742 + _SHUTDOWNREQUEST._serialized_end=14759 + _JOB._serialized_start=14762 + _JOB._serialized_end=15127 + _SCHEDULEJOBREQUEST._serialized_start=15129 + _SCHEDULEJOBREQUEST._serialized_end=15190 + _SCHEDULEJOBRESPONSE._serialized_start=15192 + _SCHEDULEJOBRESPONSE._serialized_end=15213 + _GETJOBREQUEST._serialized_start=15215 + _GETJOBREQUEST._serialized_end=15244 + _GETJOBRESPONSE._serialized_start=15246 + _GETJOBRESPONSE._serialized_end=15303 + _DELETEJOBREQUEST._serialized_start=15305 + _DELETEJOBREQUEST._serialized_end=15337 + _DELETEJOBRESPONSE._serialized_start=15339 + _DELETEJOBRESPONSE._serialized_end=15358 + _CONVERSATIONREQUEST._serialized_start=15361 + _CONVERSATIONREQUEST._serialized_end=15892 + _CONVERSATIONREQUEST_PARAMETERSENTRY._serialized_start=15729 + _CONVERSATIONREQUEST_PARAMETERSENTRY._serialized_end=15800 + _CONVERSATIONREQUEST_METADATAENTRY._serialized_start=513 + _CONVERSATIONREQUEST_METADATAENTRY._serialized_end=560 + _CONVERSATIONINPUT._serialized_start=15895 + _CONVERSATIONINPUT._serialized_end=16050 + _CONTENTPART._serialized_start=16053 + _CONTENTPART._serialized_end=16260 + _TEXTCONTENT._serialized_start=16262 + _TEXTCONTENT._serialized_end=16289 + _TOOLCALLCONTENT._serialized_start=16291 + _TOOLCALLCONTENT._serialized_end=16367 + _TOOLRESULTCONTENT._serialized_start=16369 + _TOOLRESULTCONTENT._serialized_end=16477 + _CONVERSATIONRESULT._serialized_start=16480 + _CONVERSATIONRESULT._serialized_end=16769 + _CONVERSATIONRESULT_PARAMETERSENTRY._serialized_start=15729 + _CONVERSATIONRESULT_PARAMETERSENTRY._serialized_end=15800 + _CONVERSATIONRESPONSE._serialized_start=16772 + _CONVERSATIONRESPONSE._serialized_end=16964 + _CONVERSATIONSTREAMRESPONSE._serialized_start=16967 + _CONVERSATIONSTREAMRESPONSE._serialized_end=17148 + _CONVERSATIONSTREAMCHUNK._serialized_start=17151 + _CONVERSATIONSTREAMCHUNK._serialized_end=17351 + _CONVERSATIONSTREAMCOMPLETE._serialized_start=17354 + _CONVERSATIONSTREAMCOMPLETE._serialized_end=17552 + _CONVERSATIONUSAGE._serialized_start=17555 + _CONVERSATIONUSAGE._serialized_end=17763 + _TOOL._serialized_start=17765 + _TOOL._serialized_end=17840 + _TOOLCALL._serialized_start=17842 + _TOOLCALL._serialized_end=17911 + _DAPR._serialized_start=18003 + _DAPR._serialized_end=24460 +# @@protoc_insertion_point(module_scope) diff --git a/tools/dapr/proto/runtime/v1/dapr_pb2.pyi b/tools/dapr/proto/runtime/v1/dapr_pb2.pyi new file mode 100644 index 000000000..964e547c2 --- /dev/null +++ b/tools/dapr/proto/runtime/v1/dapr_pb2.pyi @@ -0,0 +1,3872 @@ +""" +@generated by mypy-protobuf. Do not edit manually! +isort:skip_file + +Copyright 2021 The Dapr Authors +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at +http://www.apache.org/licenses/LICENSE-2.0 +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +""" + +import builtins +import collections.abc +import dapr.proto.common.v1.common_pb2 +import dapr.proto.runtime.v1.appcallback_pb2 +import google.protobuf.any_pb2 +import google.protobuf.descriptor +import google.protobuf.internal.containers +import google.protobuf.internal.enum_type_wrapper +import google.protobuf.message +import google.protobuf.timestamp_pb2 +import sys +import typing + +if sys.version_info >= (3, 10): + import typing as typing_extensions +else: + import typing_extensions + +DESCRIPTOR: google.protobuf.descriptor.FileDescriptor + +class _PubsubSubscriptionType: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + +class _PubsubSubscriptionTypeEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[_PubsubSubscriptionType.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + UNKNOWN: _PubsubSubscriptionType.ValueType # 0 + """UNKNOWN is the default value for the subscription type.""" + DECLARATIVE: _PubsubSubscriptionType.ValueType # 1 + """Declarative subscription (k8s CRD)""" + PROGRAMMATIC: _PubsubSubscriptionType.ValueType # 2 + """Programmatically created subscription""" + STREAMING: _PubsubSubscriptionType.ValueType # 3 + """Bidirectional Streaming subscription""" + +class PubsubSubscriptionType(_PubsubSubscriptionType, metaclass=_PubsubSubscriptionTypeEnumTypeWrapper): + """PubsubSubscriptionType indicates the type of subscription""" + +UNKNOWN: PubsubSubscriptionType.ValueType # 0 +"""UNKNOWN is the default value for the subscription type.""" +DECLARATIVE: PubsubSubscriptionType.ValueType # 1 +"""Declarative subscription (k8s CRD)""" +PROGRAMMATIC: PubsubSubscriptionType.ValueType # 2 +"""Programmatically created subscription""" +STREAMING: PubsubSubscriptionType.ValueType # 3 +"""Bidirectional Streaming subscription""" +global___PubsubSubscriptionType = PubsubSubscriptionType + +@typing.final +class InvokeServiceRequest(google.protobuf.message.Message): + """InvokeServiceRequest represents the request message for Service invocation.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + MESSAGE_FIELD_NUMBER: builtins.int + id: builtins.str + """Required. Callee's app id.""" + @property + def message(self) -> dapr.proto.common.v1.common_pb2.InvokeRequest: + """Required. message which will be delivered to callee.""" + + def __init__( + self, + *, + id: builtins.str = ..., + message: dapr.proto.common.v1.common_pb2.InvokeRequest | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["message", b"message"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["id", b"id", "message", b"message"]) -> None: ... + +global___InvokeServiceRequest = InvokeServiceRequest + +@typing.final +class GetStateRequest(google.protobuf.message.Message): + """GetStateRequest is the message to get key-value states from specific state store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORE_NAME_FIELD_NUMBER: builtins.int + KEY_FIELD_NUMBER: builtins.int + CONSISTENCY_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of state store.""" + key: builtins.str + """The key of the desired state""" + consistency: dapr.proto.common.v1.common_pb2.StateOptions.StateConsistency.ValueType + """The read consistency of the state store.""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to state store components.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + key: builtins.str = ..., + consistency: dapr.proto.common.v1.common_pb2.StateOptions.StateConsistency.ValueType = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["consistency", b"consistency", "key", b"key", "metadata", b"metadata", "store_name", b"store_name"]) -> None: ... + +global___GetStateRequest = GetStateRequest + +@typing.final +class GetBulkStateRequest(google.protobuf.message.Message): + """GetBulkStateRequest is the message to get a list of key-value states from specific state store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORE_NAME_FIELD_NUMBER: builtins.int + KEYS_FIELD_NUMBER: builtins.int + PARALLELISM_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of state store.""" + parallelism: builtins.int + """The number of parallel operations executed on the state store for a get operation.""" + @property + def keys(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: + """The keys to get.""" + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to state store components.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + keys: collections.abc.Iterable[builtins.str] | None = ..., + parallelism: builtins.int = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["keys", b"keys", "metadata", b"metadata", "parallelism", b"parallelism", "store_name", b"store_name"]) -> None: ... + +global___GetBulkStateRequest = GetBulkStateRequest + +@typing.final +class GetBulkStateResponse(google.protobuf.message.Message): + """GetBulkStateResponse is the response conveying the list of state values.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ITEMS_FIELD_NUMBER: builtins.int + @property + def items(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___BulkStateItem]: + """The list of items containing the keys to get values for.""" + + def __init__( + self, + *, + items: collections.abc.Iterable[global___BulkStateItem] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["items", b"items"]) -> None: ... + +global___GetBulkStateResponse = GetBulkStateResponse + +@typing.final +class BulkStateItem(google.protobuf.message.Message): + """BulkStateItem is the response item for a bulk get operation. + Return values include the item key, data and etag. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + KEY_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + ETAG_FIELD_NUMBER: builtins.int + ERROR_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + key: builtins.str + """state item key""" + data: builtins.bytes + """The byte array data""" + etag: builtins.str + """The entity tag which represents the specific version of data. + ETag format is defined by the corresponding data store. + """ + error: builtins.str + """The error that was returned from the state store in case of a failed get operation.""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to app.""" + + def __init__( + self, + *, + key: builtins.str = ..., + data: builtins.bytes = ..., + etag: builtins.str = ..., + error: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "error", b"error", "etag", b"etag", "key", b"key", "metadata", b"metadata"]) -> None: ... + +global___BulkStateItem = BulkStateItem + +@typing.final +class GetStateResponse(google.protobuf.message.Message): + """GetStateResponse is the response conveying the state value and etag.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + DATA_FIELD_NUMBER: builtins.int + ETAG_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + data: builtins.bytes + """The byte array data""" + etag: builtins.str + """The entity tag which represents the specific version of data. + ETag format is defined by the corresponding data store. + """ + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to app.""" + + def __init__( + self, + *, + data: builtins.bytes = ..., + etag: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "etag", b"etag", "metadata", b"metadata"]) -> None: ... + +global___GetStateResponse = GetStateResponse + +@typing.final +class DeleteStateRequest(google.protobuf.message.Message): + """DeleteStateRequest is the message to delete key-value states in the specific state store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORE_NAME_FIELD_NUMBER: builtins.int + KEY_FIELD_NUMBER: builtins.int + ETAG_FIELD_NUMBER: builtins.int + OPTIONS_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of state store.""" + key: builtins.str + """The key of the desired state""" + @property + def etag(self) -> dapr.proto.common.v1.common_pb2.Etag: + """The entity tag which represents the specific version of data. + The exact ETag format is defined by the corresponding data store. + """ + + @property + def options(self) -> dapr.proto.common.v1.common_pb2.StateOptions: + """State operation options which includes concurrency/ + consistency/retry_policy. + """ + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to state store components.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + key: builtins.str = ..., + etag: dapr.proto.common.v1.common_pb2.Etag | None = ..., + options: dapr.proto.common.v1.common_pb2.StateOptions | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["etag", b"etag", "options", b"options"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["etag", b"etag", "key", b"key", "metadata", b"metadata", "options", b"options", "store_name", b"store_name"]) -> None: ... + +global___DeleteStateRequest = DeleteStateRequest + +@typing.final +class DeleteBulkStateRequest(google.protobuf.message.Message): + """DeleteBulkStateRequest is the message to delete a list of key-value states from specific state store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + STORE_NAME_FIELD_NUMBER: builtins.int + STATES_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of state store.""" + @property + def states(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[dapr.proto.common.v1.common_pb2.StateItem]: + """The array of the state key values.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + states: collections.abc.Iterable[dapr.proto.common.v1.common_pb2.StateItem] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["states", b"states", "store_name", b"store_name"]) -> None: ... + +global___DeleteBulkStateRequest = DeleteBulkStateRequest + +@typing.final +class SaveStateRequest(google.protobuf.message.Message): + """SaveStateRequest is the message to save multiple states into state store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + STORE_NAME_FIELD_NUMBER: builtins.int + STATES_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of state store.""" + @property + def states(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[dapr.proto.common.v1.common_pb2.StateItem]: + """The array of the state key values.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + states: collections.abc.Iterable[dapr.proto.common.v1.common_pb2.StateItem] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["states", b"states", "store_name", b"store_name"]) -> None: ... + +global___SaveStateRequest = SaveStateRequest + +@typing.final +class QueryStateRequest(google.protobuf.message.Message): + """QueryStateRequest is the message to query state store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORE_NAME_FIELD_NUMBER: builtins.int + QUERY_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of state store.""" + query: builtins.str + """The query in JSON format.""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to state store components.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + query: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["metadata", b"metadata", "query", b"query", "store_name", b"store_name"]) -> None: ... + +global___QueryStateRequest = QueryStateRequest + +@typing.final +class QueryStateItem(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + ETAG_FIELD_NUMBER: builtins.int + ERROR_FIELD_NUMBER: builtins.int + key: builtins.str + """The object key.""" + data: builtins.bytes + """The object value.""" + etag: builtins.str + """The entity tag which represents the specific version of data. + ETag format is defined by the corresponding data store. + """ + error: builtins.str + """The error message indicating an error in processing of the query result.""" + def __init__( + self, + *, + key: builtins.str = ..., + data: builtins.bytes = ..., + etag: builtins.str = ..., + error: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "error", b"error", "etag", b"etag", "key", b"key"]) -> None: ... + +global___QueryStateItem = QueryStateItem + +@typing.final +class QueryStateResponse(google.protobuf.message.Message): + """QueryStateResponse is the response conveying the query results.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + RESULTS_FIELD_NUMBER: builtins.int + TOKEN_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + token: builtins.str + """Pagination token.""" + @property + def results(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___QueryStateItem]: + """An array of query results.""" + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to app.""" + + def __init__( + self, + *, + results: collections.abc.Iterable[global___QueryStateItem] | None = ..., + token: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["metadata", b"metadata", "results", b"results", "token", b"token"]) -> None: ... + +global___QueryStateResponse = QueryStateResponse + +@typing.final +class PublishEventRequest(google.protobuf.message.Message): + """PublishEventRequest is the message to publish event data to pubsub topic""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + PUBSUB_NAME_FIELD_NUMBER: builtins.int + TOPIC_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + DATA_CONTENT_TYPE_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + pubsub_name: builtins.str + """The name of the pubsub component""" + topic: builtins.str + """The pubsub topic""" + data: builtins.bytes + """The data which will be published to topic.""" + data_content_type: builtins.str + """The content type for the data (optional).""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata passing to pub components + + metadata property: + - key : the key of the message. + """ + + def __init__( + self, + *, + pubsub_name: builtins.str = ..., + topic: builtins.str = ..., + data: builtins.bytes = ..., + data_content_type: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "data_content_type", b"data_content_type", "metadata", b"metadata", "pubsub_name", b"pubsub_name", "topic", b"topic"]) -> None: ... + +global___PublishEventRequest = PublishEventRequest + +@typing.final +class BulkPublishRequest(google.protobuf.message.Message): + """BulkPublishRequest is the message to bulk publish events to pubsub topic""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + PUBSUB_NAME_FIELD_NUMBER: builtins.int + TOPIC_FIELD_NUMBER: builtins.int + ENTRIES_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + pubsub_name: builtins.str + """The name of the pubsub component""" + topic: builtins.str + """The pubsub topic""" + @property + def entries(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___BulkPublishRequestEntry]: + """The entries which contain the individual events and associated details to be published""" + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The request level metadata passing to to the pubsub components""" + + def __init__( + self, + *, + pubsub_name: builtins.str = ..., + topic: builtins.str = ..., + entries: collections.abc.Iterable[global___BulkPublishRequestEntry] | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["entries", b"entries", "metadata", b"metadata", "pubsub_name", b"pubsub_name", "topic", b"topic"]) -> None: ... + +global___BulkPublishRequest = BulkPublishRequest + +@typing.final +class BulkPublishRequestEntry(google.protobuf.message.Message): + """BulkPublishRequestEntry is the message containing the event to be bulk published""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + ENTRY_ID_FIELD_NUMBER: builtins.int + EVENT_FIELD_NUMBER: builtins.int + CONTENT_TYPE_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + entry_id: builtins.str + """The request scoped unique ID referring to this message. Used to map status in response""" + event: builtins.bytes + """The event which will be pulished to the topic""" + content_type: builtins.str + """The content type for the event""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The event level metadata passing to the pubsub component""" + + def __init__( + self, + *, + entry_id: builtins.str = ..., + event: builtins.bytes = ..., + content_type: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["content_type", b"content_type", "entry_id", b"entry_id", "event", b"event", "metadata", b"metadata"]) -> None: ... + +global___BulkPublishRequestEntry = BulkPublishRequestEntry + +@typing.final +class BulkPublishResponse(google.protobuf.message.Message): + """BulkPublishResponse is the message returned from a BulkPublishEvent call""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + FAILEDENTRIES_FIELD_NUMBER: builtins.int + @property + def failedEntries(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___BulkPublishResponseFailedEntry]: + """The entries for different events that failed publish in the BulkPublishEvent call""" + + def __init__( + self, + *, + failedEntries: collections.abc.Iterable[global___BulkPublishResponseFailedEntry] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["failedEntries", b"failedEntries"]) -> None: ... + +global___BulkPublishResponse = BulkPublishResponse + +@typing.final +class BulkPublishResponseFailedEntry(google.protobuf.message.Message): + """BulkPublishResponseFailedEntry is the message containing the entryID and error of a failed event in BulkPublishEvent call""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ENTRY_ID_FIELD_NUMBER: builtins.int + ERROR_FIELD_NUMBER: builtins.int + entry_id: builtins.str + """The response scoped unique ID referring to this message""" + error: builtins.str + """The error message if any on failure""" + def __init__( + self, + *, + entry_id: builtins.str = ..., + error: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["entry_id", b"entry_id", "error", b"error"]) -> None: ... + +global___BulkPublishResponseFailedEntry = BulkPublishResponseFailedEntry + +@typing.final +class SubscribeTopicEventsRequestAlpha1(google.protobuf.message.Message): + """SubscribeTopicEventsRequestAlpha1 is a message containing the details for + subscribing to a topic via streaming. + The first message must always be the initial request. All subsequent + messages must be event processed responses. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INITIAL_REQUEST_FIELD_NUMBER: builtins.int + EVENT_PROCESSED_FIELD_NUMBER: builtins.int + @property + def initial_request(self) -> global___SubscribeTopicEventsRequestInitialAlpha1: ... + @property + def event_processed(self) -> global___SubscribeTopicEventsRequestProcessedAlpha1: ... + def __init__( + self, + *, + initial_request: global___SubscribeTopicEventsRequestInitialAlpha1 | None = ..., + event_processed: global___SubscribeTopicEventsRequestProcessedAlpha1 | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["event_processed", b"event_processed", "initial_request", b"initial_request", "subscribe_topic_events_request_type", b"subscribe_topic_events_request_type"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["event_processed", b"event_processed", "initial_request", b"initial_request", "subscribe_topic_events_request_type", b"subscribe_topic_events_request_type"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["subscribe_topic_events_request_type", b"subscribe_topic_events_request_type"]) -> typing.Literal["initial_request", "event_processed"] | None: ... + +global___SubscribeTopicEventsRequestAlpha1 = SubscribeTopicEventsRequestAlpha1 + +@typing.final +class SubscribeTopicEventsRequestInitialAlpha1(google.protobuf.message.Message): + """SubscribeTopicEventsRequestInitialAlpha1 is the initial message containing + the details for subscribing to a topic via streaming. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + PUBSUB_NAME_FIELD_NUMBER: builtins.int + TOPIC_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + DEAD_LETTER_TOPIC_FIELD_NUMBER: builtins.int + pubsub_name: builtins.str + """The name of the pubsub component""" + topic: builtins.str + """The pubsub topic""" + dead_letter_topic: builtins.str + """dead_letter_topic is the topic to which messages that fail to be processed + are sent. + """ + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata passing to pub components + + metadata property: + - key : the key of the message. + """ + + def __init__( + self, + *, + pubsub_name: builtins.str = ..., + topic: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + dead_letter_topic: builtins.str | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_dead_letter_topic", b"_dead_letter_topic", "dead_letter_topic", b"dead_letter_topic"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_dead_letter_topic", b"_dead_letter_topic", "dead_letter_topic", b"dead_letter_topic", "metadata", b"metadata", "pubsub_name", b"pubsub_name", "topic", b"topic"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_dead_letter_topic", b"_dead_letter_topic"]) -> typing.Literal["dead_letter_topic"] | None: ... + +global___SubscribeTopicEventsRequestInitialAlpha1 = SubscribeTopicEventsRequestInitialAlpha1 + +@typing.final +class SubscribeTopicEventsRequestProcessedAlpha1(google.protobuf.message.Message): + """SubscribeTopicEventsRequestProcessedAlpha1 is the message containing the + subscription to a topic. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + STATUS_FIELD_NUMBER: builtins.int + id: builtins.str + """id is the unique identifier for the subscription request.""" + @property + def status(self) -> dapr.proto.runtime.v1.appcallback_pb2.TopicEventResponse: + """status is the result of the subscription request.""" + + def __init__( + self, + *, + id: builtins.str = ..., + status: dapr.proto.runtime.v1.appcallback_pb2.TopicEventResponse | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["status", b"status"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["id", b"id", "status", b"status"]) -> None: ... + +global___SubscribeTopicEventsRequestProcessedAlpha1 = SubscribeTopicEventsRequestProcessedAlpha1 + +@typing.final +class SubscribeTopicEventsResponseAlpha1(google.protobuf.message.Message): + """SubscribeTopicEventsResponseAlpha1 is a message returned from daprd + when subscribing to a topic via streaming. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INITIAL_RESPONSE_FIELD_NUMBER: builtins.int + EVENT_MESSAGE_FIELD_NUMBER: builtins.int + @property + def initial_response(self) -> global___SubscribeTopicEventsResponseInitialAlpha1: ... + @property + def event_message(self) -> dapr.proto.runtime.v1.appcallback_pb2.TopicEventRequest: ... + def __init__( + self, + *, + initial_response: global___SubscribeTopicEventsResponseInitialAlpha1 | None = ..., + event_message: dapr.proto.runtime.v1.appcallback_pb2.TopicEventRequest | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["event_message", b"event_message", "initial_response", b"initial_response", "subscribe_topic_events_response_type", b"subscribe_topic_events_response_type"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["event_message", b"event_message", "initial_response", b"initial_response", "subscribe_topic_events_response_type", b"subscribe_topic_events_response_type"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["subscribe_topic_events_response_type", b"subscribe_topic_events_response_type"]) -> typing.Literal["initial_response", "event_message"] | None: ... + +global___SubscribeTopicEventsResponseAlpha1 = SubscribeTopicEventsResponseAlpha1 + +@typing.final +class SubscribeTopicEventsResponseInitialAlpha1(google.protobuf.message.Message): + """SubscribeTopicEventsResponseInitialAlpha1 is the initial response from daprd + when subscribing to a topic. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___SubscribeTopicEventsResponseInitialAlpha1 = SubscribeTopicEventsResponseInitialAlpha1 + +@typing.final +class InvokeBindingRequest(google.protobuf.message.Message): + """InvokeBindingRequest is the message to send data to output bindings""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + NAME_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + OPERATION_FIELD_NUMBER: builtins.int + name: builtins.str + """The name of the output binding to invoke.""" + data: builtins.bytes + """The data which will be sent to output binding.""" + operation: builtins.str + """The name of the operation type for the binding to invoke""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata passing to output binding components + + Common metadata property: + - ttlInSeconds : the time to live in seconds for the message. + + If set in the binding definition will cause all messages to + have a default time to live. The message ttl overrides any value + in the binding definition. + """ + + def __init__( + self, + *, + name: builtins.str = ..., + data: builtins.bytes = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + operation: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "metadata", b"metadata", "name", b"name", "operation", b"operation"]) -> None: ... + +global___InvokeBindingRequest = InvokeBindingRequest + +@typing.final +class InvokeBindingResponse(google.protobuf.message.Message): + """InvokeBindingResponse is the message returned from an output binding invocation""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + DATA_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + data: builtins.bytes + """The data which will be sent to output binding.""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata returned from an external system""" + + def __init__( + self, + *, + data: builtins.bytes = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "metadata", b"metadata"]) -> None: ... + +global___InvokeBindingResponse = InvokeBindingResponse + +@typing.final +class GetSecretRequest(google.protobuf.message.Message): + """GetSecretRequest is the message to get secret from secret store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORE_NAME_FIELD_NUMBER: builtins.int + KEY_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of secret store.""" + key: builtins.str + """The name of secret key.""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to secret store components.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + key: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "metadata", b"metadata", "store_name", b"store_name"]) -> None: ... + +global___GetSecretRequest = GetSecretRequest + +@typing.final +class GetSecretResponse(google.protobuf.message.Message): + """GetSecretResponse is the response message to convey the requested secret.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class DataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + DATA_FIELD_NUMBER: builtins.int + @property + def data(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """data is the secret value. Some secret store, such as kubernetes secret + store, can save multiple secrets for single secret key. + """ + + def __init__( + self, + *, + data: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data"]) -> None: ... + +global___GetSecretResponse = GetSecretResponse + +@typing.final +class GetBulkSecretRequest(google.protobuf.message.Message): + """GetBulkSecretRequest is the message to get the secrets from secret store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORE_NAME_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of secret store.""" + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to secret store components.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["metadata", b"metadata", "store_name", b"store_name"]) -> None: ... + +global___GetBulkSecretRequest = GetBulkSecretRequest + +@typing.final +class SecretResponse(google.protobuf.message.Message): + """SecretResponse is a map of decrypted string/string values""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class SecretsEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + SECRETS_FIELD_NUMBER: builtins.int + @property + def secrets(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: ... + def __init__( + self, + *, + secrets: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["secrets", b"secrets"]) -> None: ... + +global___SecretResponse = SecretResponse + +@typing.final +class GetBulkSecretResponse(google.protobuf.message.Message): + """GetBulkSecretResponse is the response message to convey the requested secrets.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class DataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + @property + def value(self) -> global___SecretResponse: ... + def __init__( + self, + *, + key: builtins.str = ..., + value: global___SecretResponse | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + DATA_FIELD_NUMBER: builtins.int + @property + def data(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, global___SecretResponse]: + """data hold the secret values. Some secret store, such as kubernetes secret + store, can save multiple secrets for single secret key. + """ + + def __init__( + self, + *, + data: collections.abc.Mapping[builtins.str, global___SecretResponse] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data"]) -> None: ... + +global___GetBulkSecretResponse = GetBulkSecretResponse + +@typing.final +class TransactionalStateOperation(google.protobuf.message.Message): + """TransactionalStateOperation is the message to execute a specified operation with a key-value pair.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + OPERATIONTYPE_FIELD_NUMBER: builtins.int + REQUEST_FIELD_NUMBER: builtins.int + operationType: builtins.str + """The type of operation to be executed""" + @property + def request(self) -> dapr.proto.common.v1.common_pb2.StateItem: + """State values to be operated on""" + + def __init__( + self, + *, + operationType: builtins.str = ..., + request: dapr.proto.common.v1.common_pb2.StateItem | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["request", b"request"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["operationType", b"operationType", "request", b"request"]) -> None: ... + +global___TransactionalStateOperation = TransactionalStateOperation + +@typing.final +class ExecuteStateTransactionRequest(google.protobuf.message.Message): + """ExecuteStateTransactionRequest is the message to execute multiple operations on a specified store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORENAME_FIELD_NUMBER: builtins.int + OPERATIONS_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + storeName: builtins.str + """Required. name of state store.""" + @property + def operations(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TransactionalStateOperation]: + """Required. transactional operation list.""" + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata used for transactional operations.""" + + def __init__( + self, + *, + storeName: builtins.str = ..., + operations: collections.abc.Iterable[global___TransactionalStateOperation] | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["metadata", b"metadata", "operations", b"operations", "storeName", b"storeName"]) -> None: ... + +global___ExecuteStateTransactionRequest = ExecuteStateTransactionRequest + +@typing.final +class RegisterActorTimerRequest(google.protobuf.message.Message): + """RegisterActorTimerRequest is the message to register a timer for an actor of a given type and id.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ACTOR_TYPE_FIELD_NUMBER: builtins.int + ACTOR_ID_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + DUE_TIME_FIELD_NUMBER: builtins.int + PERIOD_FIELD_NUMBER: builtins.int + CALLBACK_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + TTL_FIELD_NUMBER: builtins.int + actor_type: builtins.str + actor_id: builtins.str + name: builtins.str + due_time: builtins.str + period: builtins.str + callback: builtins.str + data: builtins.bytes + ttl: builtins.str + def __init__( + self, + *, + actor_type: builtins.str = ..., + actor_id: builtins.str = ..., + name: builtins.str = ..., + due_time: builtins.str = ..., + period: builtins.str = ..., + callback: builtins.str = ..., + data: builtins.bytes = ..., + ttl: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["actor_id", b"actor_id", "actor_type", b"actor_type", "callback", b"callback", "data", b"data", "due_time", b"due_time", "name", b"name", "period", b"period", "ttl", b"ttl"]) -> None: ... + +global___RegisterActorTimerRequest = RegisterActorTimerRequest + +@typing.final +class UnregisterActorTimerRequest(google.protobuf.message.Message): + """UnregisterActorTimerRequest is the message to unregister an actor timer""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ACTOR_TYPE_FIELD_NUMBER: builtins.int + ACTOR_ID_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + actor_type: builtins.str + actor_id: builtins.str + name: builtins.str + def __init__( + self, + *, + actor_type: builtins.str = ..., + actor_id: builtins.str = ..., + name: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["actor_id", b"actor_id", "actor_type", b"actor_type", "name", b"name"]) -> None: ... + +global___UnregisterActorTimerRequest = UnregisterActorTimerRequest + +@typing.final +class RegisterActorReminderRequest(google.protobuf.message.Message): + """RegisterActorReminderRequest is the message to register a reminder for an actor of a given type and id.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ACTOR_TYPE_FIELD_NUMBER: builtins.int + ACTOR_ID_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + DUE_TIME_FIELD_NUMBER: builtins.int + PERIOD_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + TTL_FIELD_NUMBER: builtins.int + actor_type: builtins.str + actor_id: builtins.str + name: builtins.str + due_time: builtins.str + period: builtins.str + data: builtins.bytes + ttl: builtins.str + def __init__( + self, + *, + actor_type: builtins.str = ..., + actor_id: builtins.str = ..., + name: builtins.str = ..., + due_time: builtins.str = ..., + period: builtins.str = ..., + data: builtins.bytes = ..., + ttl: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["actor_id", b"actor_id", "actor_type", b"actor_type", "data", b"data", "due_time", b"due_time", "name", b"name", "period", b"period", "ttl", b"ttl"]) -> None: ... + +global___RegisterActorReminderRequest = RegisterActorReminderRequest + +@typing.final +class UnregisterActorReminderRequest(google.protobuf.message.Message): + """UnregisterActorReminderRequest is the message to unregister an actor reminder.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ACTOR_TYPE_FIELD_NUMBER: builtins.int + ACTOR_ID_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + actor_type: builtins.str + actor_id: builtins.str + name: builtins.str + def __init__( + self, + *, + actor_type: builtins.str = ..., + actor_id: builtins.str = ..., + name: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["actor_id", b"actor_id", "actor_type", b"actor_type", "name", b"name"]) -> None: ... + +global___UnregisterActorReminderRequest = UnregisterActorReminderRequest + +@typing.final +class GetActorStateRequest(google.protobuf.message.Message): + """GetActorStateRequest is the message to get key-value states from specific actor.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ACTOR_TYPE_FIELD_NUMBER: builtins.int + ACTOR_ID_FIELD_NUMBER: builtins.int + KEY_FIELD_NUMBER: builtins.int + actor_type: builtins.str + actor_id: builtins.str + key: builtins.str + def __init__( + self, + *, + actor_type: builtins.str = ..., + actor_id: builtins.str = ..., + key: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["actor_id", b"actor_id", "actor_type", b"actor_type", "key", b"key"]) -> None: ... + +global___GetActorStateRequest = GetActorStateRequest + +@typing.final +class GetActorStateResponse(google.protobuf.message.Message): + """GetActorStateResponse is the response conveying the actor's state value.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + DATA_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + data: builtins.bytes + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to app.""" + + def __init__( + self, + *, + data: builtins.bytes = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data", "metadata", b"metadata"]) -> None: ... + +global___GetActorStateResponse = GetActorStateResponse + +@typing.final +class ExecuteActorStateTransactionRequest(google.protobuf.message.Message): + """ExecuteActorStateTransactionRequest is the message to execute multiple operations on a specified actor.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ACTOR_TYPE_FIELD_NUMBER: builtins.int + ACTOR_ID_FIELD_NUMBER: builtins.int + OPERATIONS_FIELD_NUMBER: builtins.int + actor_type: builtins.str + actor_id: builtins.str + @property + def operations(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___TransactionalActorStateOperation]: ... + def __init__( + self, + *, + actor_type: builtins.str = ..., + actor_id: builtins.str = ..., + operations: collections.abc.Iterable[global___TransactionalActorStateOperation] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["actor_id", b"actor_id", "actor_type", b"actor_type", "operations", b"operations"]) -> None: ... + +global___ExecuteActorStateTransactionRequest = ExecuteActorStateTransactionRequest + +@typing.final +class TransactionalActorStateOperation(google.protobuf.message.Message): + """TransactionalActorStateOperation is the message to execute a specified operation with a key-value pair.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + OPERATIONTYPE_FIELD_NUMBER: builtins.int + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + operationType: builtins.str + key: builtins.str + @property + def value(self) -> google.protobuf.any_pb2.Any: ... + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata used for transactional operations. + + Common metadata property: + - ttlInSeconds : the time to live in seconds for the stored value. + """ + + def __init__( + self, + *, + operationType: builtins.str = ..., + key: builtins.str = ..., + value: google.protobuf.any_pb2.Any | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "metadata", b"metadata", "operationType", b"operationType", "value", b"value"]) -> None: ... + +global___TransactionalActorStateOperation = TransactionalActorStateOperation + +@typing.final +class InvokeActorRequest(google.protobuf.message.Message): + """InvokeActorRequest is the message to call an actor.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + ACTOR_TYPE_FIELD_NUMBER: builtins.int + ACTOR_ID_FIELD_NUMBER: builtins.int + METHOD_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + actor_type: builtins.str + actor_id: builtins.str + method: builtins.str + data: builtins.bytes + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: ... + def __init__( + self, + *, + actor_type: builtins.str = ..., + actor_id: builtins.str = ..., + method: builtins.str = ..., + data: builtins.bytes = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["actor_id", b"actor_id", "actor_type", b"actor_type", "data", b"data", "metadata", b"metadata", "method", b"method"]) -> None: ... + +global___InvokeActorRequest = InvokeActorRequest + +@typing.final +class InvokeActorResponse(google.protobuf.message.Message): + """InvokeActorResponse is the method that returns an actor invocation response.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + DATA_FIELD_NUMBER: builtins.int + data: builtins.bytes + def __init__( + self, + *, + data: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["data", b"data"]) -> None: ... + +global___InvokeActorResponse = InvokeActorResponse + +@typing.final +class GetMetadataRequest(google.protobuf.message.Message): + """GetMetadataRequest is the message for the GetMetadata request. + Empty + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___GetMetadataRequest = GetMetadataRequest + +@typing.final +class GetMetadataResponse(google.protobuf.message.Message): + """GetMetadataResponse is a message that is returned on GetMetadata rpc call.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class ExtendedMetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + ID_FIELD_NUMBER: builtins.int + ACTIVE_ACTORS_COUNT_FIELD_NUMBER: builtins.int + REGISTERED_COMPONENTS_FIELD_NUMBER: builtins.int + EXTENDED_METADATA_FIELD_NUMBER: builtins.int + SUBSCRIPTIONS_FIELD_NUMBER: builtins.int + HTTP_ENDPOINTS_FIELD_NUMBER: builtins.int + APP_CONNECTION_PROPERTIES_FIELD_NUMBER: builtins.int + RUNTIME_VERSION_FIELD_NUMBER: builtins.int + ENABLED_FEATURES_FIELD_NUMBER: builtins.int + ACTOR_RUNTIME_FIELD_NUMBER: builtins.int + SCHEDULER_FIELD_NUMBER: builtins.int + id: builtins.str + runtime_version: builtins.str + @property + def active_actors_count(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ActiveActorsCount]: + """Deprecated alias for actor_runtime.active_actors.""" + + @property + def registered_components(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___RegisteredComponents]: ... + @property + def extended_metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: ... + @property + def subscriptions(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___PubsubSubscription]: ... + @property + def http_endpoints(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___MetadataHTTPEndpoint]: ... + @property + def app_connection_properties(self) -> global___AppConnectionProperties: ... + @property + def enabled_features(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: ... + @property + def actor_runtime(self) -> global___ActorRuntime: ... + @property + def scheduler(self) -> global___MetadataScheduler: ... + def __init__( + self, + *, + id: builtins.str = ..., + active_actors_count: collections.abc.Iterable[global___ActiveActorsCount] | None = ..., + registered_components: collections.abc.Iterable[global___RegisteredComponents] | None = ..., + extended_metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + subscriptions: collections.abc.Iterable[global___PubsubSubscription] | None = ..., + http_endpoints: collections.abc.Iterable[global___MetadataHTTPEndpoint] | None = ..., + app_connection_properties: global___AppConnectionProperties | None = ..., + runtime_version: builtins.str = ..., + enabled_features: collections.abc.Iterable[builtins.str] | None = ..., + actor_runtime: global___ActorRuntime | None = ..., + scheduler: global___MetadataScheduler | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_scheduler", b"_scheduler", "actor_runtime", b"actor_runtime", "app_connection_properties", b"app_connection_properties", "scheduler", b"scheduler"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_scheduler", b"_scheduler", "active_actors_count", b"active_actors_count", "actor_runtime", b"actor_runtime", "app_connection_properties", b"app_connection_properties", "enabled_features", b"enabled_features", "extended_metadata", b"extended_metadata", "http_endpoints", b"http_endpoints", "id", b"id", "registered_components", b"registered_components", "runtime_version", b"runtime_version", "scheduler", b"scheduler", "subscriptions", b"subscriptions"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_scheduler", b"_scheduler"]) -> typing.Literal["scheduler"] | None: ... + +global___GetMetadataResponse = GetMetadataResponse + +@typing.final +class MetadataScheduler(google.protobuf.message.Message): + """MetadataScheduler is a message that contains the list of addresses of the + scheduler connections. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONNECTED_ADDRESSES_FIELD_NUMBER: builtins.int + @property + def connected_addresses(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: + """connected_addresses the list of addresses of the scheduler connections.""" + + def __init__( + self, + *, + connected_addresses: collections.abc.Iterable[builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["connected_addresses", b"connected_addresses"]) -> None: ... + +global___MetadataScheduler = MetadataScheduler + +@typing.final +class ActorRuntime(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + class _ActorRuntimeStatus: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _ActorRuntimeStatusEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[ActorRuntime._ActorRuntimeStatus.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + INITIALIZING: ActorRuntime._ActorRuntimeStatus.ValueType # 0 + """Indicates that the actor runtime is still being initialized.""" + DISABLED: ActorRuntime._ActorRuntimeStatus.ValueType # 1 + """Indicates that the actor runtime is disabled. + This normally happens when Dapr is started without "placement-host-address" + """ + RUNNING: ActorRuntime._ActorRuntimeStatus.ValueType # 2 + """Indicates the actor runtime is running, either as an actor host or client.""" + + class ActorRuntimeStatus(_ActorRuntimeStatus, metaclass=_ActorRuntimeStatusEnumTypeWrapper): ... + INITIALIZING: ActorRuntime.ActorRuntimeStatus.ValueType # 0 + """Indicates that the actor runtime is still being initialized.""" + DISABLED: ActorRuntime.ActorRuntimeStatus.ValueType # 1 + """Indicates that the actor runtime is disabled. + This normally happens when Dapr is started without "placement-host-address" + """ + RUNNING: ActorRuntime.ActorRuntimeStatus.ValueType # 2 + """Indicates the actor runtime is running, either as an actor host or client.""" + + RUNTIME_STATUS_FIELD_NUMBER: builtins.int + ACTIVE_ACTORS_FIELD_NUMBER: builtins.int + HOST_READY_FIELD_NUMBER: builtins.int + PLACEMENT_FIELD_NUMBER: builtins.int + runtime_status: global___ActorRuntime.ActorRuntimeStatus.ValueType + """Contains an enum indicating whether the actor runtime has been initialized.""" + host_ready: builtins.bool + """Indicates whether the actor runtime is ready to host actors.""" + placement: builtins.str + """Custom message from the placement provider.""" + @property + def active_actors(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ActiveActorsCount]: + """Count of active actors per type.""" + + def __init__( + self, + *, + runtime_status: global___ActorRuntime.ActorRuntimeStatus.ValueType = ..., + active_actors: collections.abc.Iterable[global___ActiveActorsCount] | None = ..., + host_ready: builtins.bool = ..., + placement: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["active_actors", b"active_actors", "host_ready", b"host_ready", "placement", b"placement", "runtime_status", b"runtime_status"]) -> None: ... + +global___ActorRuntime = ActorRuntime + +@typing.final +class ActiveActorsCount(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TYPE_FIELD_NUMBER: builtins.int + COUNT_FIELD_NUMBER: builtins.int + type: builtins.str + count: builtins.int + def __init__( + self, + *, + type: builtins.str = ..., + count: builtins.int = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["count", b"count", "type", b"type"]) -> None: ... + +global___ActiveActorsCount = ActiveActorsCount + +@typing.final +class RegisteredComponents(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + VERSION_FIELD_NUMBER: builtins.int + CAPABILITIES_FIELD_NUMBER: builtins.int + name: builtins.str + type: builtins.str + version: builtins.str + @property + def capabilities(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: ... + def __init__( + self, + *, + name: builtins.str = ..., + type: builtins.str = ..., + version: builtins.str = ..., + capabilities: collections.abc.Iterable[builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["capabilities", b"capabilities", "name", b"name", "type", b"type", "version", b"version"]) -> None: ... + +global___RegisteredComponents = RegisteredComponents + +@typing.final +class MetadataHTTPEndpoint(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + name: builtins.str + def __init__( + self, + *, + name: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["name", b"name"]) -> None: ... + +global___MetadataHTTPEndpoint = MetadataHTTPEndpoint + +@typing.final +class AppConnectionProperties(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + PORT_FIELD_NUMBER: builtins.int + PROTOCOL_FIELD_NUMBER: builtins.int + CHANNEL_ADDRESS_FIELD_NUMBER: builtins.int + MAX_CONCURRENCY_FIELD_NUMBER: builtins.int + HEALTH_FIELD_NUMBER: builtins.int + port: builtins.int + protocol: builtins.str + channel_address: builtins.str + max_concurrency: builtins.int + @property + def health(self) -> global___AppConnectionHealthProperties: ... + def __init__( + self, + *, + port: builtins.int = ..., + protocol: builtins.str = ..., + channel_address: builtins.str = ..., + max_concurrency: builtins.int = ..., + health: global___AppConnectionHealthProperties | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["health", b"health"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["channel_address", b"channel_address", "health", b"health", "max_concurrency", b"max_concurrency", "port", b"port", "protocol", b"protocol"]) -> None: ... + +global___AppConnectionProperties = AppConnectionProperties + +@typing.final +class AppConnectionHealthProperties(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + HEALTH_CHECK_PATH_FIELD_NUMBER: builtins.int + HEALTH_PROBE_INTERVAL_FIELD_NUMBER: builtins.int + HEALTH_PROBE_TIMEOUT_FIELD_NUMBER: builtins.int + HEALTH_THRESHOLD_FIELD_NUMBER: builtins.int + health_check_path: builtins.str + health_probe_interval: builtins.str + health_probe_timeout: builtins.str + health_threshold: builtins.int + def __init__( + self, + *, + health_check_path: builtins.str = ..., + health_probe_interval: builtins.str = ..., + health_probe_timeout: builtins.str = ..., + health_threshold: builtins.int = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["health_check_path", b"health_check_path", "health_probe_interval", b"health_probe_interval", "health_probe_timeout", b"health_probe_timeout", "health_threshold", b"health_threshold"]) -> None: ... + +global___AppConnectionHealthProperties = AppConnectionHealthProperties + +@typing.final +class PubsubSubscription(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + PUBSUB_NAME_FIELD_NUMBER: builtins.int + TOPIC_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + RULES_FIELD_NUMBER: builtins.int + DEAD_LETTER_TOPIC_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + pubsub_name: builtins.str + topic: builtins.str + dead_letter_topic: builtins.str + type: global___PubsubSubscriptionType.ValueType + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: ... + @property + def rules(self) -> global___PubsubSubscriptionRules: ... + def __init__( + self, + *, + pubsub_name: builtins.str = ..., + topic: builtins.str = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + rules: global___PubsubSubscriptionRules | None = ..., + dead_letter_topic: builtins.str = ..., + type: global___PubsubSubscriptionType.ValueType = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["rules", b"rules"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["dead_letter_topic", b"dead_letter_topic", "metadata", b"metadata", "pubsub_name", b"pubsub_name", "rules", b"rules", "topic", b"topic", "type", b"type"]) -> None: ... + +global___PubsubSubscription = PubsubSubscription + +@typing.final +class PubsubSubscriptionRules(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + RULES_FIELD_NUMBER: builtins.int + @property + def rules(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___PubsubSubscriptionRule]: ... + def __init__( + self, + *, + rules: collections.abc.Iterable[global___PubsubSubscriptionRule] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["rules", b"rules"]) -> None: ... + +global___PubsubSubscriptionRules = PubsubSubscriptionRules + +@typing.final +class PubsubSubscriptionRule(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + MATCH_FIELD_NUMBER: builtins.int + PATH_FIELD_NUMBER: builtins.int + match: builtins.str + path: builtins.str + def __init__( + self, + *, + match: builtins.str = ..., + path: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["match", b"match", "path", b"path"]) -> None: ... + +global___PubsubSubscriptionRule = PubsubSubscriptionRule + +@typing.final +class SetMetadataRequest(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + +global___SetMetadataRequest = SetMetadataRequest + +@typing.final +class GetConfigurationRequest(google.protobuf.message.Message): + """GetConfigurationRequest is the message to get a list of key-value configuration from specified configuration store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORE_NAME_FIELD_NUMBER: builtins.int + KEYS_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + store_name: builtins.str + """Required. The name of configuration store.""" + @property + def keys(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: + """Optional. The key of the configuration item to fetch. + If set, only query for the specified configuration items. + Empty list means fetch all. + """ + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """Optional. The metadata which will be sent to configuration store components.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + keys: collections.abc.Iterable[builtins.str] | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["keys", b"keys", "metadata", b"metadata", "store_name", b"store_name"]) -> None: ... + +global___GetConfigurationRequest = GetConfigurationRequest + +@typing.final +class GetConfigurationResponse(google.protobuf.message.Message): + """GetConfigurationResponse is the response conveying the list of configuration values. + It should be the FULL configuration of specified application which contains all of its configuration items. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class ItemsEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + @property + def value(self) -> dapr.proto.common.v1.common_pb2.ConfigurationItem: ... + def __init__( + self, + *, + key: builtins.str = ..., + value: dapr.proto.common.v1.common_pb2.ConfigurationItem | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + ITEMS_FIELD_NUMBER: builtins.int + @property + def items(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, dapr.proto.common.v1.common_pb2.ConfigurationItem]: ... + def __init__( + self, + *, + items: collections.abc.Mapping[builtins.str, dapr.proto.common.v1.common_pb2.ConfigurationItem] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["items", b"items"]) -> None: ... + +global___GetConfigurationResponse = GetConfigurationResponse + +@typing.final +class SubscribeConfigurationRequest(google.protobuf.message.Message): + """SubscribeConfigurationRequest is the message to get a list of key-value configuration from specified configuration store.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + STORE_NAME_FIELD_NUMBER: builtins.int + KEYS_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of configuration store.""" + @property + def keys(self) -> google.protobuf.internal.containers.RepeatedScalarFieldContainer[builtins.str]: + """Optional. The key of the configuration item to fetch. + If set, only query for the specified configuration items. + Empty list means fetch all. + """ + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata which will be sent to configuration store components.""" + + def __init__( + self, + *, + store_name: builtins.str = ..., + keys: collections.abc.Iterable[builtins.str] | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["keys", b"keys", "metadata", b"metadata", "store_name", b"store_name"]) -> None: ... + +global___SubscribeConfigurationRequest = SubscribeConfigurationRequest + +@typing.final +class UnsubscribeConfigurationRequest(google.protobuf.message.Message): + """UnSubscribeConfigurationRequest is the message to stop watching the key-value configuration.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + STORE_NAME_FIELD_NUMBER: builtins.int + ID_FIELD_NUMBER: builtins.int + store_name: builtins.str + """The name of configuration store.""" + id: builtins.str + """The id to unsubscribe.""" + def __init__( + self, + *, + store_name: builtins.str = ..., + id: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["id", b"id", "store_name", b"store_name"]) -> None: ... + +global___UnsubscribeConfigurationRequest = UnsubscribeConfigurationRequest + +@typing.final +class SubscribeConfigurationResponse(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class ItemsEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + @property + def value(self) -> dapr.proto.common.v1.common_pb2.ConfigurationItem: ... + def __init__( + self, + *, + key: builtins.str = ..., + value: dapr.proto.common.v1.common_pb2.ConfigurationItem | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + ID_FIELD_NUMBER: builtins.int + ITEMS_FIELD_NUMBER: builtins.int + id: builtins.str + """Subscribe id, used to stop subscription.""" + @property + def items(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, dapr.proto.common.v1.common_pb2.ConfigurationItem]: + """The list of items containing configuration values""" + + def __init__( + self, + *, + id: builtins.str = ..., + items: collections.abc.Mapping[builtins.str, dapr.proto.common.v1.common_pb2.ConfigurationItem] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["id", b"id", "items", b"items"]) -> None: ... + +global___SubscribeConfigurationResponse = SubscribeConfigurationResponse + +@typing.final +class UnsubscribeConfigurationResponse(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + OK_FIELD_NUMBER: builtins.int + MESSAGE_FIELD_NUMBER: builtins.int + ok: builtins.bool + message: builtins.str + def __init__( + self, + *, + ok: builtins.bool = ..., + message: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["message", b"message", "ok", b"ok"]) -> None: ... + +global___UnsubscribeConfigurationResponse = UnsubscribeConfigurationResponse + +@typing.final +class TryLockRequest(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + STORE_NAME_FIELD_NUMBER: builtins.int + RESOURCE_ID_FIELD_NUMBER: builtins.int + LOCK_OWNER_FIELD_NUMBER: builtins.int + EXPIRY_IN_SECONDS_FIELD_NUMBER: builtins.int + store_name: builtins.str + """Required. The lock store name,e.g. `redis`.""" + resource_id: builtins.str + """Required. resource_id is the lock key. e.g. `order_id_111` + It stands for "which resource I want to protect" + """ + lock_owner: builtins.str + """Required. lock_owner indicate the identifier of lock owner. + You can generate a uuid as lock_owner.For example,in golang: + + req.LockOwner = uuid.New().String() + + This field is per request,not per process,so it is different for each request, + which aims to prevent multi-thread in the same process trying the same lock concurrently. + + The reason why we don't make it automatically generated is: + 1. If it is automatically generated,there must be a 'my_lock_owner_id' field in the response. + This name is so weird that we think it is inappropriate to put it into the api spec + 2. If we change the field 'my_lock_owner_id' in the response to 'lock_owner',which means the current lock owner of this lock, + we find that in some lock services users can't get the current lock owner.Actually users don't need it at all. + 3. When reentrant lock is needed,the existing lock_owner is required to identify client and check "whether this client can reenter this lock". + So this field in the request shouldn't be removed. + """ + expiry_in_seconds: builtins.int + """Required. The time before expiry.The time unit is second.""" + def __init__( + self, + *, + store_name: builtins.str = ..., + resource_id: builtins.str = ..., + lock_owner: builtins.str = ..., + expiry_in_seconds: builtins.int = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["expiry_in_seconds", b"expiry_in_seconds", "lock_owner", b"lock_owner", "resource_id", b"resource_id", "store_name", b"store_name"]) -> None: ... + +global___TryLockRequest = TryLockRequest + +@typing.final +class TryLockResponse(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + SUCCESS_FIELD_NUMBER: builtins.int + success: builtins.bool + def __init__( + self, + *, + success: builtins.bool = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["success", b"success"]) -> None: ... + +global___TryLockResponse = TryLockResponse + +@typing.final +class UnlockRequest(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + STORE_NAME_FIELD_NUMBER: builtins.int + RESOURCE_ID_FIELD_NUMBER: builtins.int + LOCK_OWNER_FIELD_NUMBER: builtins.int + store_name: builtins.str + resource_id: builtins.str + """resource_id is the lock key.""" + lock_owner: builtins.str + def __init__( + self, + *, + store_name: builtins.str = ..., + resource_id: builtins.str = ..., + lock_owner: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["lock_owner", b"lock_owner", "resource_id", b"resource_id", "store_name", b"store_name"]) -> None: ... + +global___UnlockRequest = UnlockRequest + +@typing.final +class UnlockResponse(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + class _Status: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _StatusEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[UnlockResponse._Status.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + SUCCESS: UnlockResponse._Status.ValueType # 0 + LOCK_DOES_NOT_EXIST: UnlockResponse._Status.ValueType # 1 + LOCK_BELONGS_TO_OTHERS: UnlockResponse._Status.ValueType # 2 + INTERNAL_ERROR: UnlockResponse._Status.ValueType # 3 + + class Status(_Status, metaclass=_StatusEnumTypeWrapper): ... + SUCCESS: UnlockResponse.Status.ValueType # 0 + LOCK_DOES_NOT_EXIST: UnlockResponse.Status.ValueType # 1 + LOCK_BELONGS_TO_OTHERS: UnlockResponse.Status.ValueType # 2 + INTERNAL_ERROR: UnlockResponse.Status.ValueType # 3 + + STATUS_FIELD_NUMBER: builtins.int + status: global___UnlockResponse.Status.ValueType + def __init__( + self, + *, + status: global___UnlockResponse.Status.ValueType = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["status", b"status"]) -> None: ... + +global___UnlockResponse = UnlockResponse + +@typing.final +class SubtleGetKeyRequest(google.protobuf.message.Message): + """SubtleGetKeyRequest is the request object for SubtleGetKeyAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + class _KeyFormat: + ValueType = typing.NewType("ValueType", builtins.int) + V: typing_extensions.TypeAlias = ValueType + + class _KeyFormatEnumTypeWrapper(google.protobuf.internal.enum_type_wrapper._EnumTypeWrapper[SubtleGetKeyRequest._KeyFormat.ValueType], builtins.type): + DESCRIPTOR: google.protobuf.descriptor.EnumDescriptor + PEM: SubtleGetKeyRequest._KeyFormat.ValueType # 0 + """PEM (PKIX) (default)""" + JSON: SubtleGetKeyRequest._KeyFormat.ValueType # 1 + """JSON (JSON Web Key) as string""" + + class KeyFormat(_KeyFormat, metaclass=_KeyFormatEnumTypeWrapper): ... + PEM: SubtleGetKeyRequest.KeyFormat.ValueType # 0 + """PEM (PKIX) (default)""" + JSON: SubtleGetKeyRequest.KeyFormat.ValueType # 1 + """JSON (JSON Web Key) as string""" + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + FORMAT_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component""" + name: builtins.str + """Name (or name/version) of the key to use in the key vault""" + format: global___SubtleGetKeyRequest.KeyFormat.ValueType + """Response format""" + def __init__( + self, + *, + component_name: builtins.str = ..., + name: builtins.str = ..., + format: global___SubtleGetKeyRequest.KeyFormat.ValueType = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["component_name", b"component_name", "format", b"format", "name", b"name"]) -> None: ... + +global___SubtleGetKeyRequest = SubtleGetKeyRequest + +@typing.final +class SubtleGetKeyResponse(google.protobuf.message.Message): + """SubtleGetKeyResponse is the response for SubtleGetKeyAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + PUBLIC_KEY_FIELD_NUMBER: builtins.int + name: builtins.str + """Name (or name/version) of the key. + This is returned as response too in case there is a version. + """ + public_key: builtins.str + """Public key, encoded in the requested format""" + def __init__( + self, + *, + name: builtins.str = ..., + public_key: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["name", b"name", "public_key", b"public_key"]) -> None: ... + +global___SubtleGetKeyResponse = SubtleGetKeyResponse + +@typing.final +class SubtleEncryptRequest(google.protobuf.message.Message): + """SubtleEncryptRequest is the request for SubtleEncryptAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + PLAINTEXT_FIELD_NUMBER: builtins.int + ALGORITHM_FIELD_NUMBER: builtins.int + KEY_NAME_FIELD_NUMBER: builtins.int + NONCE_FIELD_NUMBER: builtins.int + ASSOCIATED_DATA_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component""" + plaintext: builtins.bytes + """Message to encrypt.""" + algorithm: builtins.str + """Algorithm to use, as in the JWA standard.""" + key_name: builtins.str + """Name (or name/version) of the key.""" + nonce: builtins.bytes + """Nonce / initialization vector. + Ignored with asymmetric ciphers. + """ + associated_data: builtins.bytes + """Associated Data when using AEAD ciphers (optional).""" + def __init__( + self, + *, + component_name: builtins.str = ..., + plaintext: builtins.bytes = ..., + algorithm: builtins.str = ..., + key_name: builtins.str = ..., + nonce: builtins.bytes = ..., + associated_data: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["algorithm", b"algorithm", "associated_data", b"associated_data", "component_name", b"component_name", "key_name", b"key_name", "nonce", b"nonce", "plaintext", b"plaintext"]) -> None: ... + +global___SubtleEncryptRequest = SubtleEncryptRequest + +@typing.final +class SubtleEncryptResponse(google.protobuf.message.Message): + """SubtleEncryptResponse is the response for SubtleEncryptAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CIPHERTEXT_FIELD_NUMBER: builtins.int + TAG_FIELD_NUMBER: builtins.int + ciphertext: builtins.bytes + """Encrypted ciphertext.""" + tag: builtins.bytes + """Authentication tag. + This is nil when not using an authenticated cipher. + """ + def __init__( + self, + *, + ciphertext: builtins.bytes = ..., + tag: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["ciphertext", b"ciphertext", "tag", b"tag"]) -> None: ... + +global___SubtleEncryptResponse = SubtleEncryptResponse + +@typing.final +class SubtleDecryptRequest(google.protobuf.message.Message): + """SubtleDecryptRequest is the request for SubtleDecryptAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + CIPHERTEXT_FIELD_NUMBER: builtins.int + ALGORITHM_FIELD_NUMBER: builtins.int + KEY_NAME_FIELD_NUMBER: builtins.int + NONCE_FIELD_NUMBER: builtins.int + TAG_FIELD_NUMBER: builtins.int + ASSOCIATED_DATA_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component""" + ciphertext: builtins.bytes + """Message to decrypt.""" + algorithm: builtins.str + """Algorithm to use, as in the JWA standard.""" + key_name: builtins.str + """Name (or name/version) of the key.""" + nonce: builtins.bytes + """Nonce / initialization vector. + Ignored with asymmetric ciphers. + """ + tag: builtins.bytes + """Authentication tag. + This is nil when not using an authenticated cipher. + """ + associated_data: builtins.bytes + """Associated Data when using AEAD ciphers (optional).""" + def __init__( + self, + *, + component_name: builtins.str = ..., + ciphertext: builtins.bytes = ..., + algorithm: builtins.str = ..., + key_name: builtins.str = ..., + nonce: builtins.bytes = ..., + tag: builtins.bytes = ..., + associated_data: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["algorithm", b"algorithm", "associated_data", b"associated_data", "ciphertext", b"ciphertext", "component_name", b"component_name", "key_name", b"key_name", "nonce", b"nonce", "tag", b"tag"]) -> None: ... + +global___SubtleDecryptRequest = SubtleDecryptRequest + +@typing.final +class SubtleDecryptResponse(google.protobuf.message.Message): + """SubtleDecryptResponse is the response for SubtleDecryptAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + PLAINTEXT_FIELD_NUMBER: builtins.int + plaintext: builtins.bytes + """Decrypted plaintext.""" + def __init__( + self, + *, + plaintext: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["plaintext", b"plaintext"]) -> None: ... + +global___SubtleDecryptResponse = SubtleDecryptResponse + +@typing.final +class SubtleWrapKeyRequest(google.protobuf.message.Message): + """SubtleWrapKeyRequest is the request for SubtleWrapKeyAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + PLAINTEXT_KEY_FIELD_NUMBER: builtins.int + ALGORITHM_FIELD_NUMBER: builtins.int + KEY_NAME_FIELD_NUMBER: builtins.int + NONCE_FIELD_NUMBER: builtins.int + ASSOCIATED_DATA_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component""" + plaintext_key: builtins.bytes + """Key to wrap""" + algorithm: builtins.str + """Algorithm to use, as in the JWA standard.""" + key_name: builtins.str + """Name (or name/version) of the key.""" + nonce: builtins.bytes + """Nonce / initialization vector. + Ignored with asymmetric ciphers. + """ + associated_data: builtins.bytes + """Associated Data when using AEAD ciphers (optional).""" + def __init__( + self, + *, + component_name: builtins.str = ..., + plaintext_key: builtins.bytes = ..., + algorithm: builtins.str = ..., + key_name: builtins.str = ..., + nonce: builtins.bytes = ..., + associated_data: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["algorithm", b"algorithm", "associated_data", b"associated_data", "component_name", b"component_name", "key_name", b"key_name", "nonce", b"nonce", "plaintext_key", b"plaintext_key"]) -> None: ... + +global___SubtleWrapKeyRequest = SubtleWrapKeyRequest + +@typing.final +class SubtleWrapKeyResponse(google.protobuf.message.Message): + """SubtleWrapKeyResponse is the response for SubtleWrapKeyAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + WRAPPED_KEY_FIELD_NUMBER: builtins.int + TAG_FIELD_NUMBER: builtins.int + wrapped_key: builtins.bytes + """Wrapped key.""" + tag: builtins.bytes + """Authentication tag. + This is nil when not using an authenticated cipher. + """ + def __init__( + self, + *, + wrapped_key: builtins.bytes = ..., + tag: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["tag", b"tag", "wrapped_key", b"wrapped_key"]) -> None: ... + +global___SubtleWrapKeyResponse = SubtleWrapKeyResponse + +@typing.final +class SubtleUnwrapKeyRequest(google.protobuf.message.Message): + """SubtleUnwrapKeyRequest is the request for SubtleUnwrapKeyAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + WRAPPED_KEY_FIELD_NUMBER: builtins.int + ALGORITHM_FIELD_NUMBER: builtins.int + KEY_NAME_FIELD_NUMBER: builtins.int + NONCE_FIELD_NUMBER: builtins.int + TAG_FIELD_NUMBER: builtins.int + ASSOCIATED_DATA_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component""" + wrapped_key: builtins.bytes + """Wrapped key.""" + algorithm: builtins.str + """Algorithm to use, as in the JWA standard.""" + key_name: builtins.str + """Name (or name/version) of the key.""" + nonce: builtins.bytes + """Nonce / initialization vector. + Ignored with asymmetric ciphers. + """ + tag: builtins.bytes + """Authentication tag. + This is nil when not using an authenticated cipher. + """ + associated_data: builtins.bytes + """Associated Data when using AEAD ciphers (optional).""" + def __init__( + self, + *, + component_name: builtins.str = ..., + wrapped_key: builtins.bytes = ..., + algorithm: builtins.str = ..., + key_name: builtins.str = ..., + nonce: builtins.bytes = ..., + tag: builtins.bytes = ..., + associated_data: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["algorithm", b"algorithm", "associated_data", b"associated_data", "component_name", b"component_name", "key_name", b"key_name", "nonce", b"nonce", "tag", b"tag", "wrapped_key", b"wrapped_key"]) -> None: ... + +global___SubtleUnwrapKeyRequest = SubtleUnwrapKeyRequest + +@typing.final +class SubtleUnwrapKeyResponse(google.protobuf.message.Message): + """SubtleUnwrapKeyResponse is the response for SubtleUnwrapKeyAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + PLAINTEXT_KEY_FIELD_NUMBER: builtins.int + plaintext_key: builtins.bytes + """Key in plaintext""" + def __init__( + self, + *, + plaintext_key: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["plaintext_key", b"plaintext_key"]) -> None: ... + +global___SubtleUnwrapKeyResponse = SubtleUnwrapKeyResponse + +@typing.final +class SubtleSignRequest(google.protobuf.message.Message): + """SubtleSignRequest is the request for SubtleSignAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + DIGEST_FIELD_NUMBER: builtins.int + ALGORITHM_FIELD_NUMBER: builtins.int + KEY_NAME_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component""" + digest: builtins.bytes + """Digest to sign.""" + algorithm: builtins.str + """Algorithm to use, as in the JWA standard.""" + key_name: builtins.str + """Name (or name/version) of the key.""" + def __init__( + self, + *, + component_name: builtins.str = ..., + digest: builtins.bytes = ..., + algorithm: builtins.str = ..., + key_name: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["algorithm", b"algorithm", "component_name", b"component_name", "digest", b"digest", "key_name", b"key_name"]) -> None: ... + +global___SubtleSignRequest = SubtleSignRequest + +@typing.final +class SubtleSignResponse(google.protobuf.message.Message): + """SubtleSignResponse is the response for SubtleSignAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + SIGNATURE_FIELD_NUMBER: builtins.int + signature: builtins.bytes + """The signature that was computed""" + def __init__( + self, + *, + signature: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["signature", b"signature"]) -> None: ... + +global___SubtleSignResponse = SubtleSignResponse + +@typing.final +class SubtleVerifyRequest(google.protobuf.message.Message): + """SubtleVerifyRequest is the request for SubtleVerifyAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + DIGEST_FIELD_NUMBER: builtins.int + ALGORITHM_FIELD_NUMBER: builtins.int + KEY_NAME_FIELD_NUMBER: builtins.int + SIGNATURE_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component""" + digest: builtins.bytes + """Digest of the message.""" + algorithm: builtins.str + """Algorithm to use, as in the JWA standard.""" + key_name: builtins.str + """Name (or name/version) of the key.""" + signature: builtins.bytes + """Signature to verify.""" + def __init__( + self, + *, + component_name: builtins.str = ..., + digest: builtins.bytes = ..., + algorithm: builtins.str = ..., + key_name: builtins.str = ..., + signature: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["algorithm", b"algorithm", "component_name", b"component_name", "digest", b"digest", "key_name", b"key_name", "signature", b"signature"]) -> None: ... + +global___SubtleVerifyRequest = SubtleVerifyRequest + +@typing.final +class SubtleVerifyResponse(google.protobuf.message.Message): + """SubtleVerifyResponse is the response for SubtleVerifyAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + VALID_FIELD_NUMBER: builtins.int + valid: builtins.bool + """True if the signature is valid.""" + def __init__( + self, + *, + valid: builtins.bool = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["valid", b"valid"]) -> None: ... + +global___SubtleVerifyResponse = SubtleVerifyResponse + +@typing.final +class EncryptRequest(google.protobuf.message.Message): + """EncryptRequest is the request for EncryptAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + OPTIONS_FIELD_NUMBER: builtins.int + PAYLOAD_FIELD_NUMBER: builtins.int + @property + def options(self) -> global___EncryptRequestOptions: + """Request details. Must be present in the first message only.""" + + @property + def payload(self) -> dapr.proto.common.v1.common_pb2.StreamPayload: + """Chunk of data of arbitrary size.""" + + def __init__( + self, + *, + options: global___EncryptRequestOptions | None = ..., + payload: dapr.proto.common.v1.common_pb2.StreamPayload | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["options", b"options", "payload", b"payload"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["options", b"options", "payload", b"payload"]) -> None: ... + +global___EncryptRequest = EncryptRequest + +@typing.final +class EncryptRequestOptions(google.protobuf.message.Message): + """EncryptRequestOptions contains options for the first message in the EncryptAlpha1 request.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + KEY_NAME_FIELD_NUMBER: builtins.int + KEY_WRAP_ALGORITHM_FIELD_NUMBER: builtins.int + DATA_ENCRYPTION_CIPHER_FIELD_NUMBER: builtins.int + OMIT_DECRYPTION_KEY_NAME_FIELD_NUMBER: builtins.int + DECRYPTION_KEY_NAME_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component. Required.""" + key_name: builtins.str + """Name (or name/version) of the key. Required.""" + key_wrap_algorithm: builtins.str + """Key wrapping algorithm to use. Required. + Supported options include: A256KW (alias: AES), A128CBC, A192CBC, A256CBC, RSA-OAEP-256 (alias: RSA). + """ + data_encryption_cipher: builtins.str + """Cipher used to encrypt data (optional): "aes-gcm" (default) or "chacha20-poly1305" """ + omit_decryption_key_name: builtins.bool + """If true, the encrypted document does not contain a key reference. + In that case, calls to the Decrypt method must provide a key reference (name or name/version). + Defaults to false. + """ + decryption_key_name: builtins.str + """Key reference to embed in the encrypted document (name or name/version). + This is helpful if the reference of the key used to decrypt the document is different from the one used to encrypt it. + If unset, uses the reference of the key used to encrypt the document (this is the default behavior). + This option is ignored if omit_decryption_key_name is true. + """ + def __init__( + self, + *, + component_name: builtins.str = ..., + key_name: builtins.str = ..., + key_wrap_algorithm: builtins.str = ..., + data_encryption_cipher: builtins.str = ..., + omit_decryption_key_name: builtins.bool = ..., + decryption_key_name: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["component_name", b"component_name", "data_encryption_cipher", b"data_encryption_cipher", "decryption_key_name", b"decryption_key_name", "key_name", b"key_name", "key_wrap_algorithm", b"key_wrap_algorithm", "omit_decryption_key_name", b"omit_decryption_key_name"]) -> None: ... + +global___EncryptRequestOptions = EncryptRequestOptions + +@typing.final +class EncryptResponse(google.protobuf.message.Message): + """EncryptResponse is the response for EncryptAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + PAYLOAD_FIELD_NUMBER: builtins.int + @property + def payload(self) -> dapr.proto.common.v1.common_pb2.StreamPayload: + """Chunk of data.""" + + def __init__( + self, + *, + payload: dapr.proto.common.v1.common_pb2.StreamPayload | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["payload", b"payload"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["payload", b"payload"]) -> None: ... + +global___EncryptResponse = EncryptResponse + +@typing.final +class DecryptRequest(google.protobuf.message.Message): + """DecryptRequest is the request for DecryptAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + OPTIONS_FIELD_NUMBER: builtins.int + PAYLOAD_FIELD_NUMBER: builtins.int + @property + def options(self) -> global___DecryptRequestOptions: + """Request details. Must be present in the first message only.""" + + @property + def payload(self) -> dapr.proto.common.v1.common_pb2.StreamPayload: + """Chunk of data of arbitrary size.""" + + def __init__( + self, + *, + options: global___DecryptRequestOptions | None = ..., + payload: dapr.proto.common.v1.common_pb2.StreamPayload | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["options", b"options", "payload", b"payload"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["options", b"options", "payload", b"payload"]) -> None: ... + +global___DecryptRequest = DecryptRequest + +@typing.final +class DecryptRequestOptions(google.protobuf.message.Message): + """DecryptRequestOptions contains options for the first message in the DecryptAlpha1 request.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + COMPONENT_NAME_FIELD_NUMBER: builtins.int + KEY_NAME_FIELD_NUMBER: builtins.int + component_name: builtins.str + """Name of the component""" + key_name: builtins.str + """Name (or name/version) of the key to decrypt the message. + Overrides any key reference included in the message if present. + This is required if the message doesn't include a key reference (i.e. was created with omit_decryption_key_name set to true). + """ + def __init__( + self, + *, + component_name: builtins.str = ..., + key_name: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["component_name", b"component_name", "key_name", b"key_name"]) -> None: ... + +global___DecryptRequestOptions = DecryptRequestOptions + +@typing.final +class DecryptResponse(google.protobuf.message.Message): + """DecryptResponse is the response for DecryptAlpha1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + PAYLOAD_FIELD_NUMBER: builtins.int + @property + def payload(self) -> dapr.proto.common.v1.common_pb2.StreamPayload: + """Chunk of data.""" + + def __init__( + self, + *, + payload: dapr.proto.common.v1.common_pb2.StreamPayload | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["payload", b"payload"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["payload", b"payload"]) -> None: ... + +global___DecryptResponse = DecryptResponse + +@typing.final +class GetWorkflowRequest(google.protobuf.message.Message): + """GetWorkflowRequest is the request for GetWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INSTANCE_ID_FIELD_NUMBER: builtins.int + WORKFLOW_COMPONENT_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """ID of the workflow instance to query.""" + workflow_component: builtins.str + """Name of the workflow component.""" + def __init__( + self, + *, + instance_id: builtins.str = ..., + workflow_component: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["instance_id", b"instance_id", "workflow_component", b"workflow_component"]) -> None: ... + +global___GetWorkflowRequest = GetWorkflowRequest + +@typing.final +class GetWorkflowResponse(google.protobuf.message.Message): + """GetWorkflowResponse is the response for GetWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class PropertiesEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + INSTANCE_ID_FIELD_NUMBER: builtins.int + WORKFLOW_NAME_FIELD_NUMBER: builtins.int + CREATED_AT_FIELD_NUMBER: builtins.int + LAST_UPDATED_AT_FIELD_NUMBER: builtins.int + RUNTIME_STATUS_FIELD_NUMBER: builtins.int + PROPERTIES_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """ID of the workflow instance.""" + workflow_name: builtins.str + """Name of the workflow.""" + runtime_status: builtins.str + """The current status of the workflow instance, for example, "PENDING", "RUNNING", "SUSPENDED", "COMPLETED", "FAILED", and "TERMINATED".""" + @property + def created_at(self) -> google.protobuf.timestamp_pb2.Timestamp: + """The time at which the workflow instance was created.""" + + @property + def last_updated_at(self) -> google.protobuf.timestamp_pb2.Timestamp: + """The last time at which the workflow instance had its state changed.""" + + @property + def properties(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """Additional component-specific properties of the workflow instance.""" + + def __init__( + self, + *, + instance_id: builtins.str = ..., + workflow_name: builtins.str = ..., + created_at: google.protobuf.timestamp_pb2.Timestamp | None = ..., + last_updated_at: google.protobuf.timestamp_pb2.Timestamp | None = ..., + runtime_status: builtins.str = ..., + properties: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["created_at", b"created_at", "last_updated_at", b"last_updated_at"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["created_at", b"created_at", "instance_id", b"instance_id", "last_updated_at", b"last_updated_at", "properties", b"properties", "runtime_status", b"runtime_status", "workflow_name", b"workflow_name"]) -> None: ... + +global___GetWorkflowResponse = GetWorkflowResponse + +@typing.final +class StartWorkflowRequest(google.protobuf.message.Message): + """StartWorkflowRequest is the request for StartWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class OptionsEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + INSTANCE_ID_FIELD_NUMBER: builtins.int + WORKFLOW_COMPONENT_FIELD_NUMBER: builtins.int + WORKFLOW_NAME_FIELD_NUMBER: builtins.int + OPTIONS_FIELD_NUMBER: builtins.int + INPUT_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """The ID to assign to the started workflow instance. If empty, a random ID is generated.""" + workflow_component: builtins.str + """Name of the workflow component.""" + workflow_name: builtins.str + """Name of the workflow.""" + input: builtins.bytes + """Input data for the workflow instance.""" + @property + def options(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """Additional component-specific options for starting the workflow instance.""" + + def __init__( + self, + *, + instance_id: builtins.str = ..., + workflow_component: builtins.str = ..., + workflow_name: builtins.str = ..., + options: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + input: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["input", b"input", "instance_id", b"instance_id", "options", b"options", "workflow_component", b"workflow_component", "workflow_name", b"workflow_name"]) -> None: ... + +global___StartWorkflowRequest = StartWorkflowRequest + +@typing.final +class StartWorkflowResponse(google.protobuf.message.Message): + """StartWorkflowResponse is the response for StartWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INSTANCE_ID_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """ID of the started workflow instance.""" + def __init__( + self, + *, + instance_id: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["instance_id", b"instance_id"]) -> None: ... + +global___StartWorkflowResponse = StartWorkflowResponse + +@typing.final +class TerminateWorkflowRequest(google.protobuf.message.Message): + """TerminateWorkflowRequest is the request for TerminateWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INSTANCE_ID_FIELD_NUMBER: builtins.int + WORKFLOW_COMPONENT_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """ID of the workflow instance to terminate.""" + workflow_component: builtins.str + """Name of the workflow component.""" + def __init__( + self, + *, + instance_id: builtins.str = ..., + workflow_component: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["instance_id", b"instance_id", "workflow_component", b"workflow_component"]) -> None: ... + +global___TerminateWorkflowRequest = TerminateWorkflowRequest + +@typing.final +class PauseWorkflowRequest(google.protobuf.message.Message): + """PauseWorkflowRequest is the request for PauseWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INSTANCE_ID_FIELD_NUMBER: builtins.int + WORKFLOW_COMPONENT_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """ID of the workflow instance to pause.""" + workflow_component: builtins.str + """Name of the workflow component.""" + def __init__( + self, + *, + instance_id: builtins.str = ..., + workflow_component: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["instance_id", b"instance_id", "workflow_component", b"workflow_component"]) -> None: ... + +global___PauseWorkflowRequest = PauseWorkflowRequest + +@typing.final +class ResumeWorkflowRequest(google.protobuf.message.Message): + """ResumeWorkflowRequest is the request for ResumeWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INSTANCE_ID_FIELD_NUMBER: builtins.int + WORKFLOW_COMPONENT_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """ID of the workflow instance to resume.""" + workflow_component: builtins.str + """Name of the workflow component.""" + def __init__( + self, + *, + instance_id: builtins.str = ..., + workflow_component: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["instance_id", b"instance_id", "workflow_component", b"workflow_component"]) -> None: ... + +global___ResumeWorkflowRequest = ResumeWorkflowRequest + +@typing.final +class RaiseEventWorkflowRequest(google.protobuf.message.Message): + """RaiseEventWorkflowRequest is the request for RaiseEventWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INSTANCE_ID_FIELD_NUMBER: builtins.int + WORKFLOW_COMPONENT_FIELD_NUMBER: builtins.int + EVENT_NAME_FIELD_NUMBER: builtins.int + EVENT_DATA_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """ID of the workflow instance to raise an event for.""" + workflow_component: builtins.str + """Name of the workflow component.""" + event_name: builtins.str + """Name of the event.""" + event_data: builtins.bytes + """Data associated with the event.""" + def __init__( + self, + *, + instance_id: builtins.str = ..., + workflow_component: builtins.str = ..., + event_name: builtins.str = ..., + event_data: builtins.bytes = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["event_data", b"event_data", "event_name", b"event_name", "instance_id", b"instance_id", "workflow_component", b"workflow_component"]) -> None: ... + +global___RaiseEventWorkflowRequest = RaiseEventWorkflowRequest + +@typing.final +class PurgeWorkflowRequest(google.protobuf.message.Message): + """PurgeWorkflowRequest is the request for PurgeWorkflowBeta1.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + INSTANCE_ID_FIELD_NUMBER: builtins.int + WORKFLOW_COMPONENT_FIELD_NUMBER: builtins.int + instance_id: builtins.str + """ID of the workflow instance to purge.""" + workflow_component: builtins.str + """Name of the workflow component.""" + def __init__( + self, + *, + instance_id: builtins.str = ..., + workflow_component: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["instance_id", b"instance_id", "workflow_component", b"workflow_component"]) -> None: ... + +global___PurgeWorkflowRequest = PurgeWorkflowRequest + +@typing.final +class ShutdownRequest(google.protobuf.message.Message): + """ShutdownRequest is the request for Shutdown. + Empty + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___ShutdownRequest = ShutdownRequest + +@typing.final +class Job(google.protobuf.message.Message): + """Job is the definition of a job. At least one of schedule or due_time must be + provided but can also be provided together. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + SCHEDULE_FIELD_NUMBER: builtins.int + REPEATS_FIELD_NUMBER: builtins.int + DUE_TIME_FIELD_NUMBER: builtins.int + TTL_FIELD_NUMBER: builtins.int + DATA_FIELD_NUMBER: builtins.int + OVERWRITE_FIELD_NUMBER: builtins.int + FAILURE_POLICY_FIELD_NUMBER: builtins.int + name: builtins.str + """The unique name for the job.""" + schedule: builtins.str + """schedule is an optional schedule at which the job is to be run. + Accepts both systemd timer style cron expressions, as well as human + readable '@' prefixed period strings as defined below. + + Systemd timer style cron accepts 6 fields: + seconds | minutes | hours | day of month | month | day of week + 0-59 | 0-59 | 0-23 | 1-31 | 1-12/jan-dec | 0-6/sun-sat + + "0 30 * * * *" - every hour on the half hour + "0 15 3 * * *" - every day at 03:15 + + Period string expressions: + Entry | Description | Equivalent To + ----- | ----------- | ------------- + @every `` | Run every `` (e.g. '@every 1h30m') | N/A + @yearly (or @annually) | Run once a year, midnight, Jan. 1st | 0 0 0 1 1 * + @monthly | Run once a month, midnight, first of month | 0 0 0 1 * * + @weekly | Run once a week, midnight on Sunday | 0 0 0 * * 0 + @daily (or @midnight) | Run once a day, midnight | 0 0 0 * * * + @hourly | Run once an hour, beginning of hour | 0 0 * * * * + """ + repeats: builtins.int + """repeats is the optional number of times in which the job should be + triggered. If not set, the job will run indefinitely or until expiration. + """ + due_time: builtins.str + """due_time is the optional time at which the job should be active, or the + "one shot" time if other scheduling type fields are not provided. Accepts + a "point in time" string in the format of RFC3339, Go duration string + (calculated from job creation time), or non-repeating ISO8601. + """ + ttl: builtins.str + """ttl is the optional time to live or expiration of the job. Accepts a + "point in time" string in the format of RFC3339, Go duration string + (calculated from job creation time), or non-repeating ISO8601. + """ + overwrite: builtins.bool + """If true, allows this job to overwrite an existing job with the same name.""" + @property + def data(self) -> google.protobuf.any_pb2.Any: + """payload is the serialized job payload that will be sent to the recipient + when the job is triggered. + """ + + @property + def failure_policy(self) -> dapr.proto.common.v1.common_pb2.JobFailurePolicy: + """failure_policy is the optional policy for handling job failures.""" + + def __init__( + self, + *, + name: builtins.str = ..., + schedule: builtins.str | None = ..., + repeats: builtins.int | None = ..., + due_time: builtins.str | None = ..., + ttl: builtins.str | None = ..., + data: google.protobuf.any_pb2.Any | None = ..., + overwrite: builtins.bool = ..., + failure_policy: dapr.proto.common.v1.common_pb2.JobFailurePolicy | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "name", b"name", "overwrite", b"overwrite", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_due_time", b"_due_time"]) -> typing.Literal["due_time"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_failure_policy", b"_failure_policy"]) -> typing.Literal["failure_policy"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_repeats", b"_repeats"]) -> typing.Literal["repeats"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_schedule", b"_schedule"]) -> typing.Literal["schedule"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_ttl", b"_ttl"]) -> typing.Literal["ttl"] | None: ... + +global___Job = Job + +@typing.final +class ScheduleJobRequest(google.protobuf.message.Message): + """ScheduleJobRequest is the message to create/schedule the job.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + JOB_FIELD_NUMBER: builtins.int + @property + def job(self) -> global___Job: + """The job details.""" + + def __init__( + self, + *, + job: global___Job | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["job", b"job"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["job", b"job"]) -> None: ... + +global___ScheduleJobRequest = ScheduleJobRequest + +@typing.final +class ScheduleJobResponse(google.protobuf.message.Message): + """ScheduleJobResponse is the message response to create/schedule the job. + Empty + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___ScheduleJobResponse = ScheduleJobResponse + +@typing.final +class GetJobRequest(google.protobuf.message.Message): + """GetJobRequest is the message to retrieve a job.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + name: builtins.str + """The name of the job.""" + def __init__( + self, + *, + name: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["name", b"name"]) -> None: ... + +global___GetJobRequest = GetJobRequest + +@typing.final +class GetJobResponse(google.protobuf.message.Message): + """GetJobResponse is the message's response for a job retrieved.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + JOB_FIELD_NUMBER: builtins.int + @property + def job(self) -> global___Job: + """The job details.""" + + def __init__( + self, + *, + job: global___Job | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["job", b"job"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["job", b"job"]) -> None: ... + +global___GetJobResponse = GetJobResponse + +@typing.final +class DeleteJobRequest(google.protobuf.message.Message): + """DeleteJobRequest is the message to delete the job by name.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + name: builtins.str + """The name of the job.""" + def __init__( + self, + *, + name: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["name", b"name"]) -> None: ... + +global___DeleteJobRequest = DeleteJobRequest + +@typing.final +class DeleteJobResponse(google.protobuf.message.Message): + """DeleteJobResponse is the message response to delete the job by name. + Empty + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + def __init__( + self, + ) -> None: ... + +global___DeleteJobResponse = DeleteJobResponse + +@typing.final +class ConversationRequest(google.protobuf.message.Message): + """ConversationRequest is the request object for Conversation.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class ParametersEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + @property + def value(self) -> google.protobuf.any_pb2.Any: ... + def __init__( + self, + *, + key: builtins.str = ..., + value: google.protobuf.any_pb2.Any | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + NAME_FIELD_NUMBER: builtins.int + CONTEXTID_FIELD_NUMBER: builtins.int + INPUTS_FIELD_NUMBER: builtins.int + PARAMETERS_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + SCRUBPII_FIELD_NUMBER: builtins.int + TEMPERATURE_FIELD_NUMBER: builtins.int + TOOLS_FIELD_NUMBER: builtins.int + name: builtins.str + """The name of Conversation component""" + contextID: builtins.str + """The ID of an existing chat (like in ChatGPT)""" + scrubPII: builtins.bool + """Scrub PII data that comes back from the LLM""" + temperature: builtins.float + """Temperature for the LLM to optimize for creativity or predictability""" + @property + def inputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationInput]: + """Inputs for the conversation, support multiple input in one time.""" + + @property + def parameters(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, google.protobuf.any_pb2.Any]: + """Parameters for all custom fields.""" + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata passing to conversation components.""" + + @property + def tools(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Tool]: + """Tools available for the LLM to call""" + + def __init__( + self, + *, + name: builtins.str = ..., + contextID: builtins.str | None = ..., + inputs: collections.abc.Iterable[global___ConversationInput] | None = ..., + parameters: collections.abc.Mapping[builtins.str, google.protobuf.any_pb2.Any] | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + scrubPII: builtins.bool | None = ..., + temperature: builtins.float | None = ..., + tools: collections.abc.Iterable[global___Tool] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_contextID", b"_contextID", "_scrubPII", b"_scrubPII", "_temperature", b"_temperature", "contextID", b"contextID", "scrubPII", b"scrubPII", "temperature", b"temperature"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_contextID", b"_contextID", "_scrubPII", b"_scrubPII", "_temperature", b"_temperature", "contextID", b"contextID", "inputs", b"inputs", "metadata", b"metadata", "name", b"name", "parameters", b"parameters", "scrubPII", b"scrubPII", "temperature", b"temperature", "tools", b"tools"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_contextID", b"_contextID"]) -> typing.Literal["contextID"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_scrubPII", b"_scrubPII"]) -> typing.Literal["scrubPII"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_temperature", b"_temperature"]) -> typing.Literal["temperature"] | None: ... + +global___ConversationRequest = ConversationRequest + +@typing.final +class ConversationInput(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONTENT_FIELD_NUMBER: builtins.int + ROLE_FIELD_NUMBER: builtins.int + SCRUBPII_FIELD_NUMBER: builtins.int + PARTS_FIELD_NUMBER: builtins.int + content: builtins.str + """DEPRECATED: Use parts instead for new implementations""" + role: builtins.str + """The role to set for the message""" + scrubPII: builtins.bool + """Scrub PII data that goes into the LLM""" + @property + def parts(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ContentPart]: + """Content parts for rich content within each agent's input. + In multi-turn conversations the output becomes part of the next request input + """ + + def __init__( + self, + *, + content: builtins.str = ..., + role: builtins.str | None = ..., + scrubPII: builtins.bool | None = ..., + parts: collections.abc.Iterable[global___ContentPart] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_role", b"_role", "_scrubPII", b"_scrubPII", "role", b"role", "scrubPII", b"scrubPII"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_role", b"_role", "_scrubPII", b"_scrubPII", "content", b"content", "parts", b"parts", "role", b"role", "scrubPII", b"scrubPII"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_role", b"_role"]) -> typing.Literal["role"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_scrubPII", b"_scrubPII"]) -> typing.Literal["scrubPII"] | None: ... + +global___ConversationInput = ConversationInput + +@typing.final +class ContentPart(google.protobuf.message.Message): + """Content part supporting text and tool calling (rich media out of scope)""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TEXT_FIELD_NUMBER: builtins.int + TOOL_CALL_FIELD_NUMBER: builtins.int + TOOL_RESULT_FIELD_NUMBER: builtins.int + @property + def text(self) -> global___TextContent: ... + @property + def tool_call(self) -> global___ToolCallContent: ... + @property + def tool_result(self) -> global___ToolResultContent: + """Future: ImageContent image = 4; + Future: DocumentContent document = 5; + """ + + def __init__( + self, + *, + text: global___TextContent | None = ..., + tool_call: global___ToolCallContent | None = ..., + tool_result: global___ToolResultContent | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["content_type", b"content_type", "text", b"text", "tool_call", b"tool_call", "tool_result", b"tool_result"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["content_type", b"content_type", "text", b"text", "tool_call", b"tool_call", "tool_result", b"tool_result"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["content_type", b"content_type"]) -> typing.Literal["text", "tool_call", "tool_result"] | None: ... + +global___ContentPart = ContentPart + +@typing.final +class TextContent(google.protobuf.message.Message): + """Simple text content""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TEXT_FIELD_NUMBER: builtins.int + text: builtins.str + def __init__( + self, + *, + text: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["text", b"text"]) -> None: ... + +global___TextContent = TextContent + +@typing.final +class ToolCallContent(google.protobuf.message.Message): + """Tool call as content part""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + ARGUMENTS_FIELD_NUMBER: builtins.int + id: builtins.str + type: builtins.str + """"function" """ + name: builtins.str + arguments: builtins.str + """Function arguments as JSON string""" + def __init__( + self, + *, + id: builtins.str = ..., + type: builtins.str = ..., + name: builtins.str = ..., + arguments: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["arguments", b"arguments", "id", b"id", "name", b"name", "type", b"type"]) -> None: ... + +global___ToolCallContent = ToolCallContent + +@typing.final +class ToolResultContent(google.protobuf.message.Message): + """Tool result as content part""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TOOL_CALL_ID_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + CONTENT_FIELD_NUMBER: builtins.int + IS_ERROR_FIELD_NUMBER: builtins.int + tool_call_id: builtins.str + name: builtins.str + content: builtins.str + """Tool result as text""" + is_error: builtins.bool + """Indicates tool execution error""" + def __init__( + self, + *, + tool_call_id: builtins.str = ..., + name: builtins.str = ..., + content: builtins.str = ..., + is_error: builtins.bool | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_is_error", b"_is_error", "is_error", b"is_error"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_is_error", b"_is_error", "content", b"content", "is_error", b"is_error", "name", b"name", "tool_call_id", b"tool_call_id"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_is_error", b"_is_error"]) -> typing.Literal["is_error"] | None: ... + +global___ToolResultContent = ToolResultContent + +@typing.final +class ConversationResult(google.protobuf.message.Message): + """ConversationResult represents a single output from the assistant or tool in response to a conversation input.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class ParametersEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + @property + def value(self) -> google.protobuf.any_pb2.Any: ... + def __init__( + self, + *, + key: builtins.str = ..., + value: google.protobuf.any_pb2.Any | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + RESULT_FIELD_NUMBER: builtins.int + PARAMETERS_FIELD_NUMBER: builtins.int + FINISH_REASON_FIELD_NUMBER: builtins.int + PARTS_FIELD_NUMBER: builtins.int + result: builtins.str + """DEPRECATED: Use parts instead for new implementations""" + finish_reason: builtins.str + """Reason why the LLM stopped generating (e.g., "stop", "tool_calls", "length")""" + @property + def parameters(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, google.protobuf.any_pb2.Any]: + """Parameters for all custom fields.""" + + @property + def parts(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ContentPart]: + """Content parts in response""" + + def __init__( + self, + *, + result: builtins.str = ..., + parameters: collections.abc.Mapping[builtins.str, google.protobuf.any_pb2.Any] | None = ..., + finish_reason: builtins.str | None = ..., + parts: collections.abc.Iterable[global___ContentPart] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_finish_reason", b"_finish_reason", "finish_reason", b"finish_reason"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_finish_reason", b"_finish_reason", "finish_reason", b"finish_reason", "parameters", b"parameters", "parts", b"parts", "result", b"result"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_finish_reason", b"_finish_reason"]) -> typing.Literal["finish_reason"] | None: ... + +global___ConversationResult = ConversationResult + +@typing.final +class ConversationResponse(google.protobuf.message.Message): + """ConversationResponse is the response message for a conversation request.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONTEXTID_FIELD_NUMBER: builtins.int + OUTPUTS_FIELD_NUMBER: builtins.int + USAGE_FIELD_NUMBER: builtins.int + contextID: builtins.str + """The ID of an existing chat (like in ChatGPT)""" + @property + def outputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationResult]: + """An array of outputs. Some providers (e.g., OpenAI) return a single output with multiple parts, while others (e.g., Anthropic) may return multiple outputs with one part each.""" + + @property + def usage(self) -> global___ConversationUsage: + """Usage statistics if available""" + + def __init__( + self, + *, + contextID: builtins.str | None = ..., + outputs: collections.abc.Iterable[global___ConversationResult] | None = ..., + usage: global___ConversationUsage | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_contextID", b"_contextID", "_usage", b"_usage", "contextID", b"contextID", "usage", b"usage"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_contextID", b"_contextID", "_usage", b"_usage", "contextID", b"contextID", "outputs", b"outputs", "usage", b"usage"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_contextID", b"_contextID"]) -> typing.Literal["contextID"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_usage", b"_usage"]) -> typing.Literal["usage"] | None: ... + +global___ConversationResponse = ConversationResponse + +@typing.final +class ConversationStreamResponse(google.protobuf.message.Message): + """ConversationStreamResponse is the streaming response for Conversation.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CHUNK_FIELD_NUMBER: builtins.int + COMPLETE_FIELD_NUMBER: builtins.int + @property + def chunk(self) -> global___ConversationStreamChunk: ... + @property + def complete(self) -> global___ConversationStreamComplete: ... + def __init__( + self, + *, + chunk: global___ConversationStreamChunk | None = ..., + complete: global___ConversationStreamComplete | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["chunk", b"chunk", "complete", b"complete", "response_type", b"response_type"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["chunk", b"chunk", "complete", b"complete", "response_type", b"response_type"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["response_type", b"response_type"]) -> typing.Literal["chunk", "complete"] | None: ... + +global___ConversationStreamResponse = ConversationStreamResponse + +@typing.final +class ConversationStreamChunk(google.protobuf.message.Message): + """ConversationStreamChunk represents a streaming content chunk.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + FINISH_REASON_FIELD_NUMBER: builtins.int + PARTS_FIELD_NUMBER: builtins.int + CHUNK_INDEX_FIELD_NUMBER: builtins.int + IS_DELTA_FIELD_NUMBER: builtins.int + finish_reason: builtins.str + """Reason why streaming stopped for this chunk (e.g., "stop", "tool_calls")""" + chunk_index: builtins.int + """Chunk metadata""" + is_delta: builtins.bool + """True if incremental""" + @property + def parts(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ContentPart]: + """Content parts in streaming""" + + def __init__( + self, + *, + finish_reason: builtins.str | None = ..., + parts: collections.abc.Iterable[global___ContentPart] | None = ..., + chunk_index: builtins.int | None = ..., + is_delta: builtins.bool | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_chunk_index", b"_chunk_index", "_finish_reason", b"_finish_reason", "_is_delta", b"_is_delta", "chunk_index", b"chunk_index", "finish_reason", b"finish_reason", "is_delta", b"is_delta"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_chunk_index", b"_chunk_index", "_finish_reason", b"_finish_reason", "_is_delta", b"_is_delta", "chunk_index", b"chunk_index", "finish_reason", b"finish_reason", "is_delta", b"is_delta", "parts", b"parts"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_chunk_index", b"_chunk_index"]) -> typing.Literal["chunk_index"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_finish_reason", b"_finish_reason"]) -> typing.Literal["finish_reason"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_is_delta", b"_is_delta"]) -> typing.Literal["is_delta"] | None: ... + +global___ConversationStreamChunk = ConversationStreamChunk + +@typing.final +class ConversationStreamComplete(google.protobuf.message.Message): + """ConversationStreamComplete indicates the streaming conversation has completed.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONTEXTID_FIELD_NUMBER: builtins.int + USAGE_FIELD_NUMBER: builtins.int + OUTPUTS_FIELD_NUMBER: builtins.int + contextID: builtins.str + """Final context ID""" + @property + def usage(self) -> global___ConversationUsage: + """Usage statistics if available""" + + @property + def outputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationResult]: + """Outputs accumulated outputs/tool calls from the streaming""" + + def __init__( + self, + *, + contextID: builtins.str | None = ..., + usage: global___ConversationUsage | None = ..., + outputs: collections.abc.Iterable[global___ConversationResult] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_contextID", b"_contextID", "_usage", b"_usage", "contextID", b"contextID", "usage", b"usage"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_contextID", b"_contextID", "_usage", b"_usage", "contextID", b"contextID", "outputs", b"outputs", "usage", b"usage"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_contextID", b"_contextID"]) -> typing.Literal["contextID"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_usage", b"_usage"]) -> typing.Literal["usage"] | None: ... + +global___ConversationStreamComplete = ConversationStreamComplete + +@typing.final +class ConversationUsage(google.protobuf.message.Message): + """ConversationUsage represents token usage statistics.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + PROMPT_TOKENS_FIELD_NUMBER: builtins.int + COMPLETION_TOKENS_FIELD_NUMBER: builtins.int + TOTAL_TOKENS_FIELD_NUMBER: builtins.int + prompt_tokens: builtins.int + """Number of tokens in the prompt""" + completion_tokens: builtins.int + """Number of tokens in the completion""" + total_tokens: builtins.int + """Total number of tokens used""" + def __init__( + self, + *, + prompt_tokens: builtins.int | None = ..., + completion_tokens: builtins.int | None = ..., + total_tokens: builtins.int | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_completion_tokens", b"_completion_tokens", "_prompt_tokens", b"_prompt_tokens", "_total_tokens", b"_total_tokens", "completion_tokens", b"completion_tokens", "prompt_tokens", b"prompt_tokens", "total_tokens", b"total_tokens"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_completion_tokens", b"_completion_tokens", "_prompt_tokens", b"_prompt_tokens", "_total_tokens", b"_total_tokens", "completion_tokens", b"completion_tokens", "prompt_tokens", b"prompt_tokens", "total_tokens", b"total_tokens"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_completion_tokens", b"_completion_tokens"]) -> typing.Literal["completion_tokens"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_prompt_tokens", b"_prompt_tokens"]) -> typing.Literal["prompt_tokens"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_total_tokens", b"_total_tokens"]) -> typing.Literal["total_tokens"] | None: ... + +global___ConversationUsage = ConversationUsage + +@typing.final +class Tool(google.protobuf.message.Message): + """Tool represents a function that can be called by the LLM (used on the request to the LLM)""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TYPE_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + DESCRIPTION_FIELD_NUMBER: builtins.int + PARAMETERS_FIELD_NUMBER: builtins.int + type: builtins.str + """The type of tool (e.g., "function", "web_search", etc.)""" + name: builtins.str + """The name of the function""" + description: builtins.str + """Description of what the function does""" + parameters: builtins.str + """JSON schema for the function parameters as a string""" + def __init__( + self, + *, + type: builtins.str = ..., + name: builtins.str = ..., + description: builtins.str = ..., + parameters: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["description", b"description", "name", b"name", "parameters", b"parameters", "type", b"type"]) -> None: ... + +global___Tool = Tool + +@typing.final +class ToolCall(google.protobuf.message.Message): + """ToolCall represents a function call requested by the LLM (used on the response from the LLM)""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + TYPE_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + ARGUMENTS_FIELD_NUMBER: builtins.int + id: builtins.str + """Unique identifier for this tool call""" + type: builtins.str + """The type of tool call (e.g., "function")""" + name: builtins.str + """Name of the function to call""" + arguments: builtins.str + """Function arguments as a JSON string""" + def __init__( + self, + *, + id: builtins.str = ..., + type: builtins.str = ..., + name: builtins.str = ..., + arguments: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["arguments", b"arguments", "id", b"id", "name", b"name", "type", b"type"]) -> None: ... + +global___ToolCall = ToolCall diff --git a/tools/dapr/proto/runtime/v1/dapr_pb2_grpc.py b/tools/dapr/proto/runtime/v1/dapr_pb2_grpc.py new file mode 100644 index 000000000..61c8ab754 --- /dev/null +++ b/tools/dapr/proto/runtime/v1/dapr_pb2_grpc.py @@ -0,0 +1,2080 @@ +# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! +"""Client and server classes corresponding to protobuf-defined services.""" +import grpc + +from dapr.proto.common.v1 import common_pb2 as dapr_dot_proto_dot_common_dot_v1_dot_common__pb2 +from dapr.proto.runtime.v1 import dapr_pb2 as dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2 +from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 + + +class DaprStub(object): + """Dapr service provides APIs to user application to access Dapr building blocks. + """ + + def __init__(self, channel): + """Constructor. + + Args: + channel: A grpc.Channel. + """ + self.InvokeService = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/InvokeService', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeServiceRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeResponse.FromString, + ) + self.GetState = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetState', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetStateRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetStateResponse.FromString, + ) + self.GetBulkState = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetBulkState', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkStateRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkStateResponse.FromString, + ) + self.SaveState = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SaveState', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SaveStateRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.QueryStateAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/QueryStateAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.QueryStateRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.QueryStateResponse.FromString, + ) + self.DeleteState = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/DeleteState', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteStateRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.DeleteBulkState = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/DeleteBulkState', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteBulkStateRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.ExecuteStateTransaction = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/ExecuteStateTransaction', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ExecuteStateTransactionRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.PublishEvent = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/PublishEvent', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PublishEventRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.BulkPublishEventAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/BulkPublishEventAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.BulkPublishRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.BulkPublishResponse.FromString, + ) + self.SubscribeTopicEventsAlpha1 = channel.stream_stream( + '/dapr.proto.runtime.v1.Dapr/SubscribeTopicEventsAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeTopicEventsRequestAlpha1.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeTopicEventsResponseAlpha1.FromString, + ) + self.InvokeBinding = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/InvokeBinding', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeBindingRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeBindingResponse.FromString, + ) + self.GetSecret = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetSecret', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetSecretRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetSecretResponse.FromString, + ) + self.GetBulkSecret = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetBulkSecret', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkSecretRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkSecretResponse.FromString, + ) + self.RegisterActorTimer = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/RegisterActorTimer', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RegisterActorTimerRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.UnregisterActorTimer = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/UnregisterActorTimer', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnregisterActorTimerRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.RegisterActorReminder = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/RegisterActorReminder', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RegisterActorReminderRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.UnregisterActorReminder = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/UnregisterActorReminder', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnregisterActorReminderRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.GetActorState = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetActorState', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetActorStateRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetActorStateResponse.FromString, + ) + self.ExecuteActorStateTransaction = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/ExecuteActorStateTransaction', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ExecuteActorStateTransactionRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.InvokeActor = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/InvokeActor', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeActorRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeActorResponse.FromString, + ) + self.GetConfigurationAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetConfigurationAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationResponse.FromString, + ) + self.GetConfiguration = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetConfiguration', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationResponse.FromString, + ) + self.SubscribeConfigurationAlpha1 = channel.unary_stream( + '/dapr.proto.runtime.v1.Dapr/SubscribeConfigurationAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationResponse.FromString, + ) + self.SubscribeConfiguration = channel.unary_stream( + '/dapr.proto.runtime.v1.Dapr/SubscribeConfiguration', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationResponse.FromString, + ) + self.UnsubscribeConfigurationAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/UnsubscribeConfigurationAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationResponse.FromString, + ) + self.UnsubscribeConfiguration = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/UnsubscribeConfiguration', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationResponse.FromString, + ) + self.TryLockAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/TryLockAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TryLockRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TryLockResponse.FromString, + ) + self.UnlockAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/UnlockAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnlockRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnlockResponse.FromString, + ) + self.EncryptAlpha1 = channel.stream_stream( + '/dapr.proto.runtime.v1.Dapr/EncryptAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.EncryptRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.EncryptResponse.FromString, + ) + self.DecryptAlpha1 = channel.stream_stream( + '/dapr.proto.runtime.v1.Dapr/DecryptAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DecryptRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DecryptResponse.FromString, + ) + self.GetMetadata = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetMetadata', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetMetadataRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetMetadataResponse.FromString, + ) + self.SetMetadata = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SetMetadata', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SetMetadataRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.SubtleGetKeyAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SubtleGetKeyAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleGetKeyRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleGetKeyResponse.FromString, + ) + self.SubtleEncryptAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SubtleEncryptAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleEncryptRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleEncryptResponse.FromString, + ) + self.SubtleDecryptAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SubtleDecryptAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleDecryptRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleDecryptResponse.FromString, + ) + self.SubtleWrapKeyAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SubtleWrapKeyAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleWrapKeyRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleWrapKeyResponse.FromString, + ) + self.SubtleUnwrapKeyAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SubtleUnwrapKeyAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleUnwrapKeyRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleUnwrapKeyResponse.FromString, + ) + self.SubtleSignAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SubtleSignAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleSignRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleSignResponse.FromString, + ) + self.SubtleVerifyAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/SubtleVerifyAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleVerifyRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleVerifyResponse.FromString, + ) + self.StartWorkflowAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/StartWorkflowAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowResponse.FromString, + ) + self.GetWorkflowAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetWorkflowAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowResponse.FromString, + ) + self.PurgeWorkflowAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/PurgeWorkflowAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PurgeWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.TerminateWorkflowAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/TerminateWorkflowAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TerminateWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.PauseWorkflowAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/PauseWorkflowAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PauseWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.ResumeWorkflowAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/ResumeWorkflowAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ResumeWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.RaiseEventWorkflowAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/RaiseEventWorkflowAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RaiseEventWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.StartWorkflowBeta1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/StartWorkflowBeta1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowResponse.FromString, + ) + self.GetWorkflowBeta1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetWorkflowBeta1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowResponse.FromString, + ) + self.PurgeWorkflowBeta1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/PurgeWorkflowBeta1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PurgeWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.TerminateWorkflowBeta1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/TerminateWorkflowBeta1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TerminateWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.PauseWorkflowBeta1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/PauseWorkflowBeta1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PauseWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.ResumeWorkflowBeta1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/ResumeWorkflowBeta1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ResumeWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.RaiseEventWorkflowBeta1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/RaiseEventWorkflowBeta1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RaiseEventWorkflowRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.Shutdown = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/Shutdown', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ShutdownRequest.SerializeToString, + response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, + ) + self.ScheduleJobAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/ScheduleJobAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ScheduleJobRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ScheduleJobResponse.FromString, + ) + self.GetJobAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/GetJobAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetJobRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetJobResponse.FromString, + ) + self.DeleteJobAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/DeleteJobAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteJobRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteJobResponse.FromString, + ) + self.ConverseAlpha1 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/ConverseAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.FromString, + ) + self.ConverseStreamAlpha1 = channel.unary_stream( + '/dapr.proto.runtime.v1.Dapr/ConverseStreamAlpha1', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationStreamResponse.FromString, + ) + + +class DaprServicer(object): + """Dapr service provides APIs to user application to access Dapr building blocks. + """ + + def InvokeService(self, request, context): + """Invokes a method on a remote Dapr app. + Deprecated: Use proxy mode service invocation instead. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetState(self, request, context): + """Gets the state for a specific key. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetBulkState(self, request, context): + """Gets a bulk of state items for a list of keys + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SaveState(self, request, context): + """Saves the state for a specific key. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def QueryStateAlpha1(self, request, context): + """Queries the state. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def DeleteState(self, request, context): + """Deletes the state for a specific key. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def DeleteBulkState(self, request, context): + """Deletes a bulk of state items for a list of keys + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ExecuteStateTransaction(self, request, context): + """Executes transactions for a specified store + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def PublishEvent(self, request, context): + """Publishes events to the specific topic. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def BulkPublishEventAlpha1(self, request, context): + """Bulk Publishes multiple events to the specified topic. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubscribeTopicEventsAlpha1(self, request_iterator, context): + """SubscribeTopicEventsAlpha1 subscribes to a PubSub topic and receives topic + events from it. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def InvokeBinding(self, request, context): + """Invokes binding data to specific output bindings + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetSecret(self, request, context): + """Gets secrets from secret stores. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetBulkSecret(self, request, context): + """Gets a bulk of secrets + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def RegisterActorTimer(self, request, context): + """Register an actor timer. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def UnregisterActorTimer(self, request, context): + """Unregister an actor timer. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def RegisterActorReminder(self, request, context): + """Register an actor reminder. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def UnregisterActorReminder(self, request, context): + """Unregister an actor reminder. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetActorState(self, request, context): + """Gets the state for a specific actor. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ExecuteActorStateTransaction(self, request, context): + """Executes state transactions for a specified actor + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def InvokeActor(self, request, context): + """InvokeActor calls a method on an actor. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetConfigurationAlpha1(self, request, context): + """GetConfiguration gets configuration from configuration store. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetConfiguration(self, request, context): + """GetConfiguration gets configuration from configuration store. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubscribeConfigurationAlpha1(self, request, context): + """SubscribeConfiguration gets configuration from configuration store and subscribe the updates event by grpc stream + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubscribeConfiguration(self, request, context): + """SubscribeConfiguration gets configuration from configuration store and subscribe the updates event by grpc stream + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def UnsubscribeConfigurationAlpha1(self, request, context): + """UnSubscribeConfiguration unsubscribe the subscription of configuration + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def UnsubscribeConfiguration(self, request, context): + """UnSubscribeConfiguration unsubscribe the subscription of configuration + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def TryLockAlpha1(self, request, context): + """TryLockAlpha1 tries to get a lock with an expiry. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def UnlockAlpha1(self, request, context): + """UnlockAlpha1 unlocks a lock. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def EncryptAlpha1(self, request_iterator, context): + """EncryptAlpha1 encrypts a message using the Dapr encryption scheme and a key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def DecryptAlpha1(self, request_iterator, context): + """DecryptAlpha1 decrypts a message using the Dapr encryption scheme and a key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetMetadata(self, request, context): + """Gets metadata of the sidecar + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SetMetadata(self, request, context): + """Sets value in extended metadata of the sidecar + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubtleGetKeyAlpha1(self, request, context): + """SubtleGetKeyAlpha1 returns the public part of an asymmetric key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubtleEncryptAlpha1(self, request, context): + """SubtleEncryptAlpha1 encrypts a small message using a key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubtleDecryptAlpha1(self, request, context): + """SubtleDecryptAlpha1 decrypts a small message using a key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubtleWrapKeyAlpha1(self, request, context): + """SubtleWrapKeyAlpha1 wraps a key using a key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubtleUnwrapKeyAlpha1(self, request, context): + """SubtleUnwrapKeyAlpha1 unwraps a key using a key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubtleSignAlpha1(self, request, context): + """SubtleSignAlpha1 signs a message using a key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def SubtleVerifyAlpha1(self, request, context): + """SubtleVerifyAlpha1 verifies the signature of a message using a key stored in the vault. + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def StartWorkflowAlpha1(self, request, context): + """Starts a new instance of a workflow + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetWorkflowAlpha1(self, request, context): + """Gets details about a started workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def PurgeWorkflowAlpha1(self, request, context): + """Purge Workflow + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def TerminateWorkflowAlpha1(self, request, context): + """Terminates a running workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def PauseWorkflowAlpha1(self, request, context): + """Pauses a running workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ResumeWorkflowAlpha1(self, request, context): + """Resumes a paused workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def RaiseEventWorkflowAlpha1(self, request, context): + """Raise an event to a running workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def StartWorkflowBeta1(self, request, context): + """Starts a new instance of a workflow + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetWorkflowBeta1(self, request, context): + """Gets details about a started workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def PurgeWorkflowBeta1(self, request, context): + """Purge Workflow + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def TerminateWorkflowBeta1(self, request, context): + """Terminates a running workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def PauseWorkflowBeta1(self, request, context): + """Pauses a running workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ResumeWorkflowBeta1(self, request, context): + """Resumes a paused workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def RaiseEventWorkflowBeta1(self, request, context): + """Raise an event to a running workflow instance + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def Shutdown(self, request, context): + """Shutdown the sidecar + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ScheduleJobAlpha1(self, request, context): + """Create and schedule a job + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def GetJobAlpha1(self, request, context): + """Gets a scheduled job + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def DeleteJobAlpha1(self, request, context): + """Delete a job + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ConverseAlpha1(self, request, context): + """Converse with a LLM service + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + def ConverseStreamAlpha1(self, request, context): + """Converse with a LLM service using streaming + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + + +def add_DaprServicer_to_server(servicer, server): + rpc_method_handlers = { + 'InvokeService': grpc.unary_unary_rpc_method_handler( + servicer.InvokeService, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeServiceRequest.FromString, + response_serializer=dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeResponse.SerializeToString, + ), + 'GetState': grpc.unary_unary_rpc_method_handler( + servicer.GetState, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetStateRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetStateResponse.SerializeToString, + ), + 'GetBulkState': grpc.unary_unary_rpc_method_handler( + servicer.GetBulkState, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkStateRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkStateResponse.SerializeToString, + ), + 'SaveState': grpc.unary_unary_rpc_method_handler( + servicer.SaveState, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SaveStateRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'QueryStateAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.QueryStateAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.QueryStateRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.QueryStateResponse.SerializeToString, + ), + 'DeleteState': grpc.unary_unary_rpc_method_handler( + servicer.DeleteState, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteStateRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'DeleteBulkState': grpc.unary_unary_rpc_method_handler( + servicer.DeleteBulkState, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteBulkStateRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'ExecuteStateTransaction': grpc.unary_unary_rpc_method_handler( + servicer.ExecuteStateTransaction, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ExecuteStateTransactionRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'PublishEvent': grpc.unary_unary_rpc_method_handler( + servicer.PublishEvent, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PublishEventRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'BulkPublishEventAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.BulkPublishEventAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.BulkPublishRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.BulkPublishResponse.SerializeToString, + ), + 'SubscribeTopicEventsAlpha1': grpc.stream_stream_rpc_method_handler( + servicer.SubscribeTopicEventsAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeTopicEventsRequestAlpha1.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeTopicEventsResponseAlpha1.SerializeToString, + ), + 'InvokeBinding': grpc.unary_unary_rpc_method_handler( + servicer.InvokeBinding, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeBindingRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeBindingResponse.SerializeToString, + ), + 'GetSecret': grpc.unary_unary_rpc_method_handler( + servicer.GetSecret, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetSecretRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetSecretResponse.SerializeToString, + ), + 'GetBulkSecret': grpc.unary_unary_rpc_method_handler( + servicer.GetBulkSecret, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkSecretRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkSecretResponse.SerializeToString, + ), + 'RegisterActorTimer': grpc.unary_unary_rpc_method_handler( + servicer.RegisterActorTimer, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RegisterActorTimerRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'UnregisterActorTimer': grpc.unary_unary_rpc_method_handler( + servicer.UnregisterActorTimer, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnregisterActorTimerRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'RegisterActorReminder': grpc.unary_unary_rpc_method_handler( + servicer.RegisterActorReminder, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RegisterActorReminderRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'UnregisterActorReminder': grpc.unary_unary_rpc_method_handler( + servicer.UnregisterActorReminder, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnregisterActorReminderRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'GetActorState': grpc.unary_unary_rpc_method_handler( + servicer.GetActorState, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetActorStateRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetActorStateResponse.SerializeToString, + ), + 'ExecuteActorStateTransaction': grpc.unary_unary_rpc_method_handler( + servicer.ExecuteActorStateTransaction, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ExecuteActorStateTransactionRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'InvokeActor': grpc.unary_unary_rpc_method_handler( + servicer.InvokeActor, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeActorRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeActorResponse.SerializeToString, + ), + 'GetConfigurationAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.GetConfigurationAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationResponse.SerializeToString, + ), + 'GetConfiguration': grpc.unary_unary_rpc_method_handler( + servicer.GetConfiguration, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationResponse.SerializeToString, + ), + 'SubscribeConfigurationAlpha1': grpc.unary_stream_rpc_method_handler( + servicer.SubscribeConfigurationAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationResponse.SerializeToString, + ), + 'SubscribeConfiguration': grpc.unary_stream_rpc_method_handler( + servicer.SubscribeConfiguration, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationResponse.SerializeToString, + ), + 'UnsubscribeConfigurationAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.UnsubscribeConfigurationAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationResponse.SerializeToString, + ), + 'UnsubscribeConfiguration': grpc.unary_unary_rpc_method_handler( + servicer.UnsubscribeConfiguration, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationResponse.SerializeToString, + ), + 'TryLockAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.TryLockAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TryLockRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TryLockResponse.SerializeToString, + ), + 'UnlockAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.UnlockAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnlockRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnlockResponse.SerializeToString, + ), + 'EncryptAlpha1': grpc.stream_stream_rpc_method_handler( + servicer.EncryptAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.EncryptRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.EncryptResponse.SerializeToString, + ), + 'DecryptAlpha1': grpc.stream_stream_rpc_method_handler( + servicer.DecryptAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DecryptRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DecryptResponse.SerializeToString, + ), + 'GetMetadata': grpc.unary_unary_rpc_method_handler( + servicer.GetMetadata, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetMetadataRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetMetadataResponse.SerializeToString, + ), + 'SetMetadata': grpc.unary_unary_rpc_method_handler( + servicer.SetMetadata, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SetMetadataRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'SubtleGetKeyAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.SubtleGetKeyAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleGetKeyRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleGetKeyResponse.SerializeToString, + ), + 'SubtleEncryptAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.SubtleEncryptAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleEncryptRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleEncryptResponse.SerializeToString, + ), + 'SubtleDecryptAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.SubtleDecryptAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleDecryptRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleDecryptResponse.SerializeToString, + ), + 'SubtleWrapKeyAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.SubtleWrapKeyAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleWrapKeyRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleWrapKeyResponse.SerializeToString, + ), + 'SubtleUnwrapKeyAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.SubtleUnwrapKeyAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleUnwrapKeyRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleUnwrapKeyResponse.SerializeToString, + ), + 'SubtleSignAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.SubtleSignAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleSignRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleSignResponse.SerializeToString, + ), + 'SubtleVerifyAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.SubtleVerifyAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleVerifyRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleVerifyResponse.SerializeToString, + ), + 'StartWorkflowAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.StartWorkflowAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowResponse.SerializeToString, + ), + 'GetWorkflowAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.GetWorkflowAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowResponse.SerializeToString, + ), + 'PurgeWorkflowAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.PurgeWorkflowAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PurgeWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'TerminateWorkflowAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.TerminateWorkflowAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TerminateWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'PauseWorkflowAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.PauseWorkflowAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PauseWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'ResumeWorkflowAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.ResumeWorkflowAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ResumeWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'RaiseEventWorkflowAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.RaiseEventWorkflowAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RaiseEventWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'StartWorkflowBeta1': grpc.unary_unary_rpc_method_handler( + servicer.StartWorkflowBeta1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowResponse.SerializeToString, + ), + 'GetWorkflowBeta1': grpc.unary_unary_rpc_method_handler( + servicer.GetWorkflowBeta1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowResponse.SerializeToString, + ), + 'PurgeWorkflowBeta1': grpc.unary_unary_rpc_method_handler( + servicer.PurgeWorkflowBeta1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PurgeWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'TerminateWorkflowBeta1': grpc.unary_unary_rpc_method_handler( + servicer.TerminateWorkflowBeta1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TerminateWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'PauseWorkflowBeta1': grpc.unary_unary_rpc_method_handler( + servicer.PauseWorkflowBeta1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PauseWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'ResumeWorkflowBeta1': grpc.unary_unary_rpc_method_handler( + servicer.ResumeWorkflowBeta1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ResumeWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'RaiseEventWorkflowBeta1': grpc.unary_unary_rpc_method_handler( + servicer.RaiseEventWorkflowBeta1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RaiseEventWorkflowRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'Shutdown': grpc.unary_unary_rpc_method_handler( + servicer.Shutdown, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ShutdownRequest.FromString, + response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, + ), + 'ScheduleJobAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.ScheduleJobAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ScheduleJobRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ScheduleJobResponse.SerializeToString, + ), + 'GetJobAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.GetJobAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetJobRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetJobResponse.SerializeToString, + ), + 'DeleteJobAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.DeleteJobAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteJobRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteJobResponse.SerializeToString, + ), + 'ConverseAlpha1': grpc.unary_unary_rpc_method_handler( + servicer.ConverseAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.SerializeToString, + ), + 'ConverseStreamAlpha1': grpc.unary_stream_rpc_method_handler( + servicer.ConverseStreamAlpha1, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationStreamResponse.SerializeToString, + ), + } + generic_handler = grpc.method_handlers_generic_handler( + 'dapr.proto.runtime.v1.Dapr', rpc_method_handlers) + server.add_generic_rpc_handlers((generic_handler,)) + + + # This class is part of an EXPERIMENTAL API. +class Dapr(object): + """Dapr service provides APIs to user application to access Dapr building blocks. + """ + + @staticmethod + def InvokeService(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/InvokeService', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeServiceRequest.SerializeToString, + dapr_dot_proto_dot_common_dot_v1_dot_common__pb2.InvokeResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetState(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetState', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetStateRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetStateResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetBulkState(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetBulkState', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkStateRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkStateResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SaveState(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SaveState', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SaveStateRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def QueryStateAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/QueryStateAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.QueryStateRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.QueryStateResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def DeleteState(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/DeleteState', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteStateRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def DeleteBulkState(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/DeleteBulkState', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteBulkStateRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ExecuteStateTransaction(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/ExecuteStateTransaction', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ExecuteStateTransactionRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def PublishEvent(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/PublishEvent', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PublishEventRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def BulkPublishEventAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/BulkPublishEventAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.BulkPublishRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.BulkPublishResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubscribeTopicEventsAlpha1(request_iterator, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.stream_stream(request_iterator, target, '/dapr.proto.runtime.v1.Dapr/SubscribeTopicEventsAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeTopicEventsRequestAlpha1.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeTopicEventsResponseAlpha1.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def InvokeBinding(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/InvokeBinding', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeBindingRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeBindingResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetSecret(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetSecret', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetSecretRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetSecretResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetBulkSecret(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetBulkSecret', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkSecretRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetBulkSecretResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def RegisterActorTimer(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/RegisterActorTimer', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RegisterActorTimerRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def UnregisterActorTimer(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/UnregisterActorTimer', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnregisterActorTimerRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def RegisterActorReminder(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/RegisterActorReminder', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RegisterActorReminderRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def UnregisterActorReminder(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/UnregisterActorReminder', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnregisterActorReminderRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetActorState(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetActorState', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetActorStateRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetActorStateResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ExecuteActorStateTransaction(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/ExecuteActorStateTransaction', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ExecuteActorStateTransactionRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def InvokeActor(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/InvokeActor', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeActorRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.InvokeActorResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetConfigurationAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetConfigurationAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetConfiguration(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetConfiguration', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetConfigurationResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubscribeConfigurationAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_stream(request, target, '/dapr.proto.runtime.v1.Dapr/SubscribeConfigurationAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubscribeConfiguration(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_stream(request, target, '/dapr.proto.runtime.v1.Dapr/SubscribeConfiguration', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubscribeConfigurationResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def UnsubscribeConfigurationAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/UnsubscribeConfigurationAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def UnsubscribeConfiguration(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/UnsubscribeConfiguration', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnsubscribeConfigurationResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def TryLockAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/TryLockAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TryLockRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TryLockResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def UnlockAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/UnlockAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnlockRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.UnlockResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def EncryptAlpha1(request_iterator, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.stream_stream(request_iterator, target, '/dapr.proto.runtime.v1.Dapr/EncryptAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.EncryptRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.EncryptResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def DecryptAlpha1(request_iterator, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.stream_stream(request_iterator, target, '/dapr.proto.runtime.v1.Dapr/DecryptAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DecryptRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DecryptResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetMetadata(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetMetadata', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetMetadataRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetMetadataResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SetMetadata(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SetMetadata', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SetMetadataRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubtleGetKeyAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SubtleGetKeyAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleGetKeyRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleGetKeyResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubtleEncryptAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SubtleEncryptAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleEncryptRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleEncryptResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubtleDecryptAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SubtleDecryptAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleDecryptRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleDecryptResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubtleWrapKeyAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SubtleWrapKeyAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleWrapKeyRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleWrapKeyResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubtleUnwrapKeyAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SubtleUnwrapKeyAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleUnwrapKeyRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleUnwrapKeyResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubtleSignAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SubtleSignAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleSignRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleSignResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def SubtleVerifyAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/SubtleVerifyAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleVerifyRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.SubtleVerifyResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def StartWorkflowAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/StartWorkflowAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetWorkflowAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetWorkflowAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def PurgeWorkflowAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/PurgeWorkflowAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PurgeWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def TerminateWorkflowAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/TerminateWorkflowAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TerminateWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def PauseWorkflowAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/PauseWorkflowAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PauseWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ResumeWorkflowAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/ResumeWorkflowAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ResumeWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def RaiseEventWorkflowAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/RaiseEventWorkflowAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RaiseEventWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def StartWorkflowBeta1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/StartWorkflowBeta1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.StartWorkflowResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetWorkflowBeta1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetWorkflowBeta1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetWorkflowResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def PurgeWorkflowBeta1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/PurgeWorkflowBeta1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PurgeWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def TerminateWorkflowBeta1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/TerminateWorkflowBeta1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.TerminateWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def PauseWorkflowBeta1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/PauseWorkflowBeta1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.PauseWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ResumeWorkflowBeta1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/ResumeWorkflowBeta1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ResumeWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def RaiseEventWorkflowBeta1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/RaiseEventWorkflowBeta1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.RaiseEventWorkflowRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def Shutdown(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/Shutdown', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ShutdownRequest.SerializeToString, + google_dot_protobuf_dot_empty__pb2.Empty.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ScheduleJobAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/ScheduleJobAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ScheduleJobRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ScheduleJobResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def GetJobAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/GetJobAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetJobRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.GetJobResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def DeleteJobAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/DeleteJobAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteJobRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.DeleteJobResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ConverseAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/ConverseAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ConverseStreamAlpha1(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_stream(request, target, '/dapr.proto.runtime.v1.Dapr/ConverseStreamAlpha1', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationStreamResponse.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) diff --git a/tools/regen_grpcclient.sh b/tools/regen_grpcclient.sh index 5b5816b0d..2f57e4e7b 100755 --- a/tools/regen_grpcclient.sh +++ b/tools/regen_grpcclient.sh @@ -105,4 +105,3 @@ generateGrpc runtime dapr cleanup generateGrpcSuccess - diff --git a/tools/regen_grpcclient_local.sh b/tools/regen_grpcclient_local.sh new file mode 100755 index 000000000..3e62766d5 --- /dev/null +++ b/tools/regen_grpcclient_local.sh @@ -0,0 +1,127 @@ +#!/bin/bash + +# ------------------------------------------------------------ +# Copyright 2025 The Dapr Authors +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# http://www.apache.org/licenses/LICENSE-2.0 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ------------------------------------------------------------ + +# Path to store output +PROTO_PATH="dapr/proto" +SRC=. + +# Local dapr repository path (relative to current directory where you are running) +LOCAL_DAPR_PATH="../dapr" + +checkLocalDaprRepo() { + if [ ! -d "$LOCAL_DAPR_PATH" ]; then + echo "Local dapr repository not found at: $LOCAL_DAPR_PATH" + echo "Please ensure the dapr repository is cloned at the expected location." + exit 1 + fi + + if [ ! -d "$LOCAL_DAPR_PATH/dapr/proto" ]; then + echo "Proto directory not found at: $LOCAL_DAPR_PATH/dapr/proto" + echo "Please ensure the dapr repository contains the proto files." + exit 1 + fi +} + +checkDependencies() { + # Check if grpc_tools.protoc is available + if ! python3 -c "import grpc_tools.protoc" 2>/dev/null; then + echo "Error: grpcio-tools is not installed" + echo "Please install it with: pip install -r tools/requirements.txt" + exit 1 + fi + + # Check if protoc-gen-mypy is available + if ! command -v protoc-gen-mypy &> /dev/null; then + echo "Error: protoc-gen-mypy is not available" + echo "Please install it with: pip install mypy-protobuf" + exit 1 + fi +} + +copyFile() { + PKG_NAME=$1 + FILE_NAME=$2 + FILE_PATH="${PROTO_PATH}/${PKG_NAME}/v1" + + # Local path for proto file + LOCAL_PROTO_PATH="${LOCAL_DAPR_PATH}/dapr/proto/${PKG_NAME}/v1/${FILE_NAME}.proto" + + mkdir -p "${FILE_PATH}" + + echo "Copying $LOCAL_PROTO_PATH ..." + + if [ ! -e "$LOCAL_PROTO_PATH" ]; then + echo "Failed to find local proto file: $LOCAL_PROTO_PATH" + ret_val=$FILE_NAME + exit 1 + fi + + cp "$LOCAL_PROTO_PATH" "${FILE_PATH}/${FILE_NAME}.proto" + + if [ ! -e "${FILE_PATH}/${FILE_NAME}.proto" ]; then + echo "Failed to copy $LOCAL_PROTO_PATH ..." + ret_val=$FILE_NAME + exit 1 + fi +} + +generateGrpc() { + PKG_NAME=$1 + FILE_NAME=$2 + FILE_PATH="${PROTO_PATH}/${PKG_NAME}/v1" + + python3 -m grpc_tools.protoc -I ${SRC} --python_out=${SRC} --grpc_python_out=${SRC} --mypy_out=${SRC} ${FILE_PATH}/${FILE_NAME}.proto + + if [ ! -e "${FILE_PATH}/${FILE_NAME}_pb2.py" ]; then + echo "failed to generate proto buf $FILE_NAME" + ret_val=$FILE_NAME + exit 1 + fi +} + +fail_trap() { + result=$? + if [ $result != 0 ]; then + echo "Failed to generate gRPC interface and proto buf: $ret_val" + fi + cleanup + exit $result +} + +cleanup() { + find $PROTO_PATH -type f -name '*.proto' -delete +} + +generateGrpcSuccess() { + export PYTHONPATH=`pwd`/$SRC + echo -e "\ngRPC interface and proto buf generated successfully from local dapr repository!" +} + +# ----------------------------------------------------------------------------- +# main +# ----------------------------------------------------------------------------- +trap "fail_trap" EXIT + +checkLocalDaprRepo +checkDependencies +copyFile common common +generateGrpc common common +copyFile runtime appcallback +generateGrpc runtime appcallback +copyFile runtime dapr +generateGrpc runtime dapr +cleanup + +generateGrpcSuccess \ No newline at end of file diff --git a/tools/run_dapr_dev.py b/tools/run_dapr_dev.py new file mode 100755 index 000000000..57d7f4751 --- /dev/null +++ b/tools/run_dapr_dev.py @@ -0,0 +1,364 @@ +#!/usr/bin/env python3 + +""" +Development helper for running Dapr sidecar with conversation components. + +This script helps developers quickly start a Dapr sidecar with conversation components +for testing the Python SDK conversation streaming functionality. + +Usage: + python tools/run_dapr_dev.py [options] + +Options: + --build Build daprd binary before running + --port HTTP port for sidecar (default: 3500) + --grpc-port gRPC port for sidecar (default: 50001) + --app-id Application ID (default: test-app) + --log-level Log level (default: info) + --components Path to components directory (default: auto-created) +""" + +import argparse +import os +import re +import subprocess +import sys +import tempfile +import shutil +from pathlib import Path + +SCRIPT_DIR = Path(__file__).parent +REPO_ROOT = SCRIPT_DIR.parent + +# make sure dapr repo is in the right place +DAPR_REPO = REPO_ROOT.parent / "dapr" +if not DAPR_REPO.exists(): + print(f"โŒ Error: Dapr repository not found at {DAPR_REPO}") + print("Please clone the dapr repository at ../dapr relative to python-sdk and dapr-agents") + sys.exit(1) + + +def load_env_file(): + """Load environment variables from .env file at repo root.""" + env_file = REPO_ROOT / ".env" + env_vars = {} + + if env_file.exists(): + print(f"๐Ÿ“„ Loading environment variables from {env_file}") + try: + with open(env_file, "r") as f: + for line in f: + line = line.strip() + # Skip comments and empty lines + if line and not line.startswith("#"): + if "=" in line: + key, value = line.split("=", 1) + key = key.strip() + value = value.strip().strip('"').strip("'") # Remove quotes + env_vars[key] = value + # Also set in os.environ for subprocess + os.environ[key] = value + print(f"โœ… Loaded {len(env_vars)} environment variables") + except Exception as e: + print(f"โš ๏ธ Warning: Could not read .env file: {e}") + else: + print(f"โš ๏ธ Warning: No .env file found at {env_file}") + + providers = [ + "GEMINI", + "OPENAI", + "ANTHROPIC", + "DEEPSEEK", + "MISTRAL", + ] + + providers_alt_keys = { + "GEMINI": ["GOOGLE", "GOOGLE_AI", "GEMINI"], + } + + # show what LLM providers we have keys for (don't show the keys) + print("๐Ÿ”‘ LLM Providers with keys:") + for provider in providers: + key = get_provider_key(provider, env_vars, providers_alt_keys) + if key: + print(f" - {provider}") + else: + print(f" - {provider} (not found in .env or environment)") + + return env_vars + +def get_provider_key(provider, env_vars, providers_alt_keys): + """Get the API key for a provider.""" + provider_prefixes = providers_alt_keys.get(provider, [provider]) + value = None + for prefix in provider_prefixes: + key = f"{prefix}_API_KEY" + if key in env_vars: + value = env_vars[key] + env_vars[key] = value + break + elif key in os.environ: + value = os.environ[key] + break + if value: + for prefix in provider_prefixes: + env_vars[f"{prefix}_API_KEY"] = value + return value + else: + return None + + +def process_component_file(source_file, target_file, env_vars): + """Process a component file and replace environment variable placeholders.""" + try: + with open(source_file, "r") as f: + content = f.read() + + # Replace ${VAR_NAME} patterns with actual values + def replace_env_var(match): + var_name = match.group(1) + if var_name in env_vars: + return env_vars[var_name] + elif var_name in os.environ: + return os.environ[var_name] + else: + print( + f"โš ๏ธ Warning: Environment variable {var_name} not found for {source_file.name}" + ) + return match.group(0) # Return original if not found + + # Replace ${VAR_NAME} patterns + processed_content = re.sub(r"\$\{([^}]+)\}", replace_env_var, content) + + # Write processed content to target + with open(target_file, "w") as f: + f.write(processed_content) + + return True + except Exception as e: + print(f"โŒ Error processing {source_file}: {e}") + return False + + +def prepare_components(components_dir, env_vars): + """Prepare components by processing .env variables and copying to temp directory.""" + source_components_dir = Path(components_dir) + temp_dir = tempfile.mkdtemp(prefix="dapr-dev-components-") + temp_components_dir = Path(temp_dir) + + print( + f"๐Ÿ“ Processing components from {source_components_dir} to {temp_components_dir}" + ) + + processed_count = 0 + skipped_count = 0 + + for component_file in source_components_dir.glob("*.yaml"): + # Skip disabled files + if component_file.name.endswith(".disabled"): + print(f"โญ๏ธ Skipping disabled component: {component_file.name}") + skipped_count += 1 + continue + + target_file = temp_components_dir / component_file.name + + if process_component_file(component_file, target_file, env_vars): + print(f"โœ… Processed component: {component_file.name}") + processed_count += 1 + else: + skipped_count += 1 + + print( + f"๐Ÿ“Š Component processing summary: {processed_count} processed, {skipped_count} skipped" + ) + + if processed_count == 0: + print("โŒ No components were successfully processed!") + shutil.rmtree(temp_dir, ignore_errors=True) + return None + + return temp_components_dir + + +def check_dapr_repo(): + """Check if local dapr repository exists.""" + if not DAPR_REPO.exists(): + print(f"โŒ Error: Dapr repository not found at {DAPR_REPO}") + print("Please clone the dapr repository at ../dapr relative to python-sdk") + sys.exit(1) + return True + + +def build_daprd(): + """Build the daprd binary.""" + print("๐Ÿ”จ Building daprd binary...") + try: + subprocess.run( + ["make", "build"], cwd=DAPR_REPO, check=True, capture_output=True, text=True + ) + print("โœ… Build successful!") + return True + except subprocess.CalledProcessError as e: + print(f"โŒ Build failed: {e}") + print(f"stdout: {e.stdout}") + print(f"stderr: {e.stderr}") + return False + + +def get_daprd_binary(): + """Get the path to the daprd binary.""" + # Check for platform-specific binary + import platform + + system = platform.system().lower() + arch = platform.machine().lower() + + if arch == "x86_64": + arch = "amd64" + elif arch in ["arm64", "aarch64"]: + arch = "arm64" + + binary_path = DAPR_REPO / "dist" / f"{system}_{arch}" / "release" / "daprd" + + if binary_path.exists(): + return binary_path + + # Fallback to root directory + fallback_path = DAPR_REPO / "daprd" + if fallback_path.exists(): + return fallback_path + + print(f"โŒ Error: daprd binary not found at {binary_path} or {fallback_path}") + print("Try running with --build to build the binary") + sys.exit(1) + + +def create_conversation_components(components_dir): + """Create conversation component configuration.""" + components_dir = Path(components_dir) + components_dir.mkdir(exist_ok=True) + + echo_component = components_dir / "echo-conversation.yaml" + echo_component.write_text( + """apiVersion: dapr.io/v1alpha1 +kind: Component +metadata: + name: echo +spec: + type: conversation.echo + version: v1 + metadata: + - name: key + value: testkey +""" + ) + + print(f"๐Ÿ“ Created conversation components in {components_dir}") + return components_dir + + +def run_daprd(args): + """Run the daprd sidecar.""" + binary_path = get_daprd_binary() + + # Load environment variables from .env file + env_vars = load_env_file() + # Special mapping for Gemini - it expects GEMINI_API_KEY but we have GOOGLE_AI_API_KEY + if "GOOGLE_AI_API_KEY" in env_vars: + os.environ["GEMINI_API_KEY"] = env_vars["GOOGLE_AI_API_KEY"] + + # Process components directory if specified + if args.components: + components_dir = prepare_components(args.components, env_vars) + if not components_dir: + print("โŒ Failed to process components directory") + sys.exit(1) + temp_dir = str(components_dir.parent) # For cleanup + else: + # Create temporary components directory with default echo component + temp_dir = tempfile.mkdtemp(prefix="dapr-dev-") + components_dir = create_conversation_components(temp_dir) + + cmd = [ + str(binary_path), + "--app-id", + args.app_id, + "--dapr-http-port", + str(args.port), + "--dapr-grpc-port", + str(args.grpc_port), + "--log-level", + args.log_level, + "--enable-app-health-check=false", + "--resources-path", + str(components_dir), + "--placement-host-address", + "localhost:50005", + "--metrics-port", + "9091", + ] + + print("๐Ÿš€ Starting Dapr sidecar...") + print(f" Binary: {binary_path}") + print(f" App ID: {args.app_id}") + print(f" HTTP Port: {args.port}") + print(f" gRPC Port: {args.grpc_port}") + print(f" Components: {components_dir}") + print(f" Command: {' '.join(cmd)}") + print("\n๐Ÿ“ก Sidecar output:") + print("-" * 50) + + try: + # Run the sidecar with explicit environment inheritance + # Set environment variables for the process + env = os.environ.copy() + env.update(env_vars) + subprocess.run(cmd, check=True, env=env) + except KeyboardInterrupt: + print("\n๐Ÿ›‘ Stopping sidecar...") + except subprocess.CalledProcessError as e: + print(f"โŒ Sidecar failed: {e}") + sys.exit(1) + finally: + # Clean up temporary directory + if temp_dir: + shutil.rmtree(temp_dir, ignore_errors=True) + print(f"๐Ÿงน Cleaned up temporary directory: {temp_dir}") + + +def main(): + parser = argparse.ArgumentParser(description="Run Dapr sidecar for development") + parser.add_argument( + "--build", action="store_true", help="Build daprd binary before running" + ) + parser.add_argument( + "--port", type=int, default=3500, help="HTTP port (default: 3500)" + ) + parser.add_argument( + "--grpc-port", type=int, default=50001, help="gRPC port (default: 50001)" + ) + parser.add_argument( + "--app-id", default="test-app", help="Application ID (default: test-app)" + ) + parser.add_argument("--log-level", default="info", help="Log level (default: info)") + parser.add_argument("--components", help="Path to components directory") + + args = parser.parse_args() + + print("๐Ÿงช Dapr Development Helper") + print("=" * 40) + + # Check prerequisites + check_dapr_repo() + + # Build if requested + if args.build: + if not build_daprd(): + sys.exit(1) + + # Run the sidecar + run_daprd(args) + + +if __name__ == "__main__": + main()