Update vocodehq-public (#616)

* remove phantom parameter (#612)

* support files in make transcribe (#610)

* support files in make transcribe

* switch comment

* uses .value instead of passing enum for sampling rate (#613)

* [hotfix] fix ref in make transcribe (#614)

* [DOW-113] deprecate output queue and manually attach workers to each other (#593)

* deprecate output queues

* fix quickstarts

* fix mypy

* fix tests

* fix mypy

* adds comment

* adds back streamingconversation test

* make input queue private on AsyncWorker

* update tests

* resolve PR comments

* create scripts for vocodehq-public (#615)

* add script used to make PR

* adds test target for vocodehq-public

.vscode/settings.json

@@ -12,5 +12,6 @@
   "rewrap.wrappingColumn": 100,
   "python.testing.unittestEnabled": false,
   "python.testing.pytestEnabled": true,
-  "isort.check": true
+  "isort.check": true,
+  "python.testing.pytestArgs": ["tests"]
 }

playground/streaming/agent/chat.py

@@ -21,12 +21,13 @@
 from vocode.streaming.models.message import BaseMessage
 from vocode.streaming.models.transcript import Transcript
 from vocode.streaming.utils.state_manager import AbstractConversationStateManager
-from vocode.streaming.utils.worker import InterruptibleAgentResponseEvent
+from vocode.streaming.utils.worker import InterruptibleAgentResponseEvent, QueueConsumer
 
 load_dotenv()
 
 from vocode.streaming.agent import ChatGPTAgent
 from vocode.streaming.agent.base_agent import (
+    AgentResponse,
     AgentResponseMessage,
     AgentResponseType,
     BaseAgent,
@@ -96,6 +97,11 @@ async def run_agent(
 ):
     ended = False
     conversation_id = create_conversation_id()
+    agent_response_queue: asyncio.Queue[InterruptibleAgentResponseEvent[AgentResponse]] = (
+        asyncio.Queue()
+    )
+    agent_consumer = QueueConsumer(input_queue=agent_response_queue)
+    agent.agent_responses_consumer = agent_consumer
 
     async def receiver():
         nonlocal ended
@@ -106,7 +112,7 @@ async def receiver():
 
         while not ended:
             try:
-                event = await agent.get_output_queue().get()
+                event = await agent_response_queue.get()
                 response = event.payload
                 if response.type == AgentResponseType.FILLER_AUDIO:
                     print("Would have sent filler audio")
@@ -152,6 +158,13 @@ async def receiver():
                 break
 
     async def sender():
+        if agent.agent_config.initial_message is not None:
+            agent.agent_responses_consumer.consume_nonblocking(
+                InterruptibleAgentResponseEvent(
+                    payload=AgentResponseMessage(message=agent.agent_config.initial_message),
+                    agent_response_tracker=asyncio.Event(),
+                )
+            )
         while not ended:
             try:
                 message = await asyncio.get_event_loop().run_in_executor(
@@ -175,10 +188,10 @@ async def sender():
     actions_worker = None
     if isinstance(agent, ChatGPTAgent):
         actions_worker = ActionsWorker(
-            input_queue=agent.actions_queue,
-            output_queue=agent.get_input_queue(),
             action_factory=agent.action_factory,
         )
+        actions_worker.consumer = agent
+        agent.actions_consumer = actions_worker
         actions_worker.attach_conversation_state_manager(agent.conversation_state_manager)
         actions_worker.start()
 
@@ -215,13 +228,6 @@ async def agent_main():
     )
     agent.attach_conversation_state_manager(DummyConversationManager())
     agent.attach_transcript(transcript)
-    if agent.agent_config.initial_message is not None:
-        agent.output_queue.put_nowait(
-            InterruptibleAgentResponseEvent(
-                payload=AgentResponseMessage(message=agent.agent_config.initial_message),
-                agent_response_tracker=asyncio.Event(),
-            )
-        )
     agent.start()
 
     try:

playground/streaming/transcriber/transcribe.py

@@ -1,10 +1,20 @@
+from vocode.streaming.input_device.file_input_device import FileInputDevice
 from vocode.streaming.input_device.microphone_input import MicrophoneInput
 from vocode.streaming.models.transcriber import DeepgramTranscriberConfig, Transcription
 from vocode.streaming.transcriber.base_transcriber import BaseTranscriber
 from vocode.streaming.transcriber.deepgram_transcriber import (
     DeepgramEndpointingConfig,
     DeepgramTranscriber,
 )
+from vocode.streaming.utils.worker import AsyncWorker
+
+
+class TranscriptionPrinter(AsyncWorker[Transcription]):
+    async def _run_loop(self):
+        while True:
+            transcription: Transcription = await self._input_queue.get()
+            print(transcription)
+
 
 if __name__ == "__main__":
     import asyncio
@@ -13,25 +23,23 @@
 
     load_dotenv()
 
-    async def print_output(transcriber: BaseTranscriber):
-        while True:
-            transcription: Transcription = await transcriber.output_queue.get()
-            print(transcription)
-
     async def listen():
-        microphone_input = MicrophoneInput.from_default_device()
+        input_device = MicrophoneInput.from_default_device()
+        # input_device = FileInputDevice(file_path="spacewalk.wav")
 
         # replace with the transcriber you want to test
         transcriber = DeepgramTranscriber(
             DeepgramTranscriberConfig.from_input_device(
-                microphone_input, endpointing_config=DeepgramEndpointingConfig()
+                input_device, endpointing_config=DeepgramEndpointingConfig()
             )
         )
         transcriber.start()
-        asyncio.create_task(print_output(transcriber))
+        transcription_printer = TranscriptionPrinter()
+        transcriber.consumer = transcription_printer
+        transcription_printer.start()
         print("Start speaking...press Ctrl+C to end. ")
         while True:
-            chunk = await microphone_input.get_audio()
+            chunk = await input_device.get_audio()
             transcriber.send_audio(chunk)
 
     asyncio.run(listen())

tests/fakedata/conversation.py

@@ -1,5 +1,4 @@
 import asyncio
-import time
 from typing import Optional
 
 from pytest_mock import MockerFixture
@@ -52,6 +51,7 @@ def __init__(
         self.wait_for_interrupt = wait_for_interrupt
         self.chunks_before_interrupt = chunks_before_interrupt
         self.interrupt_event = asyncio.Event()
+        self.dummy_playback_queue = asyncio.Queue()
 
     async def process(self, item):
         self.interruptible_event = item
@@ -61,6 +61,7 @@ async def process(self, item):
             audio_chunk.on_interrupt()
             audio_chunk.state = ChunkState.INTERRUPTED
         else:
+            self.dummy_playback_queue.put_nowait(audio_chunk)
             audio_chunk.on_play()
             audio_chunk.state = ChunkState.PLAYED
             self.interruptible_event.is_interruptible = False
@@ -69,7 +70,7 @@ async def _run_loop(self):
         chunk_counter = 0
         while True:
             try:
-                item = await self.input_queue.get()
+                item = await self._input_queue.get()
             except asyncio.CancelledError:
                 return
             if self.wait_for_interrupt and chunk_counter == self.chunks_before_interrupt:
@@ -80,7 +81,7 @@ async def _run_loop(self):
     def flush(self):
         while True:
             try:
-                item = self.input_queue.get_nowait()
+                item = self._input_queue.get_nowait()
             except asyncio.QueueEmpty:
                 break
             self.process(item)

tests/fixtures/synthesizer.py

@@ -0,0 +1,50 @@
+import wave
+from io import BytesIO
+
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import SynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
+
+
+def create_fake_audio(message: str, synthesizer_config: SynthesizerConfig):
+    file = BytesIO()
+    with wave.open(file, "wb") as wave_file:
+        wave_file.setnchannels(1)
+        wave_file.setsampwidth(2)
+        wave_file.setframerate(synthesizer_config.sampling_rate)
+        wave_file.writeframes(message.encode())
+    file.seek(0)
+    return file
+
+
+class TestSynthesizerConfig(SynthesizerConfig, type="synthesizer_test"):
+    __test__ = False
+
+
+class TestSynthesizer(BaseSynthesizer[TestSynthesizerConfig]):
+    """Accepts text and creates a SynthesisResult containing audio data which is the same as the text as bytes."""
+
+    __test__ = False
+
+    def __init__(self, synthesizer_config: SynthesizerConfig):
+        super().__init__(synthesizer_config)
+
+    async def create_speech_uncached(
+        self,
+        message: BaseMessage,
+        chunk_size: int,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
+    ) -> SynthesisResult:
+        return self.create_synthesis_result_from_wav(
+            synthesizer_config=self.synthesizer_config,
+            message=message,
+            chunk_size=chunk_size,
+            file=create_fake_audio(
+                message=message.text, synthesizer_config=self.synthesizer_config
+            ),
+        )
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: TestSynthesizerConfig) -> str:
+        return "test_voice"

tests/fixtures/transcriber.py

@@ -0,0 +1,24 @@
+import asyncio
+
+from vocode.streaming.models.transcriber import TranscriberConfig
+from vocode.streaming.transcriber.base_transcriber import BaseAsyncTranscriber, Transcription
+
+
+class TestTranscriberConfig(TranscriberConfig, type="transcriber_test"):
+    __test__ = False
+
+
+class TestAsyncTranscriber(BaseAsyncTranscriber[TestTranscriberConfig]):
+    """Accepts fake audio chunks and sends out transcriptions which are the same as the audio chunks."""
+
+    __test__ = False
+
+    async def _run_loop(self):
+        while True:
+            try:
+                audio_chunk = await self._input_queue.get()
+                self.produce_nonblocking(
+                    Transcription(message=audio_chunk.decode("utf-8"), confidence=1, is_final=True)
+                )
+            except asyncio.CancelledError:
+                return

tests/streaming/agent/test_base_agent.py

@@ -19,7 +19,11 @@
 from vocode.streaming.models.transcriber import Transcription
 from vocode.streaming.models.transcript import Transcript
 from vocode.streaming.utils.state_manager import ConversationStateManager
-from vocode.streaming.utils.worker import InterruptibleEvent
+from vocode.streaming.utils.worker import (
+    InterruptibleAgentResponseEvent,
+    InterruptibleEvent,
+    QueueConsumer,
+)
 
 
 @pytest.fixture(autouse=True)
@@ -51,11 +55,16 @@ def _create_agent(
     return agent
 
 
-async def _consume_until_end_of_turn(agent: BaseAgent, timeout: float = 0.1) -> List[AgentResponse]:
+async def _consume_until_end_of_turn(
+    agent_consumer: QueueConsumer[InterruptibleAgentResponseEvent[AgentResponse]],
+    timeout: float = 0.1,
+) -> List[AgentResponse]:
     agent_responses = []
     try:
         while True:
-            agent_response = await asyncio.wait_for(agent.output_queue.get(), timeout=timeout)
+            agent_response = await asyncio.wait_for(
+                agent_consumer.input_queue.get(), timeout=timeout
+            )
             agent_responses.append(agent_response.payload)
             if isinstance(agent_response.payload, AgentResponseMessage) and isinstance(
                 agent_response.payload.message, EndOfTurn
@@ -127,37 +136,10 @@ async def test_generate_responses(mocker: MockerFixture):
         agent,
         Transcription(message="Hello?", confidence=1.0, is_final=True),
     )
+    agent_consumer = QueueConsumer()
+    agent.agent_responses_consumer = agent_consumer
     agent.start()
-    agent_responses = await _consume_until_end_of_turn(agent)
-    agent.terminate()
-
-    messages = [response.message for response in agent_responses]
-
-    assert messages == [BaseMessage(text="Hi, how are you doing today?"), EndOfTurn()]
-
-
-@pytest.mark.asyncio
-async def test_generate_response(mocker: MockerFixture):
-    agent_config = ChatGPTAgentConfig(
-        prompt_preamble="Have a pleasant conversation about life",
-        generate_responses=True,
-    )
-    agent = _create_agent(mocker, agent_config)
-    _mock_generate_response(
-        mocker,
-        agent,
-        [
-            GeneratedResponse(
-                message=BaseMessage(text="Hi, how are you doing today?"), is_interruptible=True
-            )
-        ],
-    )
-    _send_transcription(
-        agent,
-        Transcription(message="Hello?", confidence=1.0, is_final=True),
-    )
-    agent.start()
-    agent_responses = await _consume_until_end_of_turn(agent)
+    agent_responses = await _consume_until_end_of_turn(agent_consumer)
     agent.terminate()
 
     messages = [response.message for response in agent_responses]