feat: Add ray integration support (#2400)

.github/workflows/test-integrations-data-processing.yml

@@ -67,6 +67,10 @@ jobs:
         run: |
           set -x # print commands that are executed
           ./scripts/runtox.sh "py${{ matrix.python-version }}-huey-latest"
+      - name: Test ray latest
+        run: |
+          set -x # print commands that are executed
+          ./scripts/runtox.sh "py${{ matrix.python-version }}-ray-latest"
       - name: Test rq latest
         run: |
           set -x # print commands that are executed
@@ -139,6 +143,10 @@ jobs:
         run: |
           set -x # print commands that are executed
           ./scripts/runtox.sh --exclude-latest "py${{ matrix.python-version }}-huey"
+      - name: Test ray pinned
+        run: |
+          set -x # print commands that are executed
+          ./scripts/runtox.sh --exclude-latest "py${{ matrix.python-version }}-ray"
       - name: Test rq pinned
         run: |
           set -x # print commands that are executed

scripts/split-tox-gh-actions/split-tox-gh-actions.py

@@ -82,6 +82,7 @@
         "celery",
         "dramatiq",
         "huey",
+        "ray",
         "rq",
         "spark",
     ],

sentry_sdk/consts.py

@@ -465,6 +465,8 @@ class OP:
     QUEUE_TASK_RQ = "queue.task.rq"
     QUEUE_SUBMIT_HUEY = "queue.submit.huey"
     QUEUE_TASK_HUEY = "queue.task.huey"
+    QUEUE_SUBMIT_RAY = "queue.submit.ray"
+    QUEUE_TASK_RAY = "queue.task.ray"
     SUBPROCESS = "subprocess"
     SUBPROCESS_WAIT = "subprocess.wait"
     SUBPROCESS_COMMUNICATE = "subprocess.communicate"

sentry_sdk/integrations/ray.py

@@ -0,0 +1,146 @@
+import inspect
+import sys
+
+import sentry_sdk
+from sentry_sdk.consts import OP, SPANSTATUS
+from sentry_sdk.integrations import DidNotEnable, Integration
+from sentry_sdk.tracing import TRANSACTION_SOURCE_TASK
+from sentry_sdk.utils import (
+    event_from_exception,
+    logger,
+    package_version,
+    qualname_from_function,
+    reraise,
+)
+
+try:
+    import ray  # type: ignore[import-not-found]
+except ImportError:
+    raise DidNotEnable("Ray not installed.")
+import functools
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+    from typing import Any, Optional
+    from sentry_sdk.utils import ExcInfo
+
+
+def _check_sentry_initialized():
+    # type: () -> None
+    if sentry_sdk.get_client().is_active():
+        return
+
+    logger.debug(
+        "[Tracing] Sentry not initialized in ray cluster worker, performance data will be discarded."
+    )
+
+
+def _patch_ray_remote():
+    # type: () -> None
+    old_remote = ray.remote
+
+    @functools.wraps(old_remote)
+    def new_remote(f, *args, **kwargs):
+        # type: (Callable[..., Any], *Any, **Any) -> Callable[..., Any]
+        if inspect.isclass(f):
+            # Ray Actors
+            # (https://docs.ray.io/en/latest/ray-core/actors.html)
+            # are not supported
+            # (Only Ray Tasks are supported)
+            return old_remote(f, *args, *kwargs)
+
+        def _f(*f_args, _tracing=None, **f_kwargs):
+            # type: (Any, Optional[dict[str, Any]],  Any) -> Any
+            """
+            Ray Worker
+            """
+            _check_sentry_initialized()
+
+            transaction = sentry_sdk.continue_trace(
+                _tracing or {},
+                op=OP.QUEUE_TASK_RAY,
+                name=qualname_from_function(f),
+                origin=RayIntegration.origin,
+                source=TRANSACTION_SOURCE_TASK,
+            )
+
+            with sentry_sdk.start_transaction(transaction) as transaction:
+                try:
+                    result = f(*f_args, **f_kwargs)
+                    transaction.set_status(SPANSTATUS.OK)
+                except Exception:
+                    transaction.set_status(SPANSTATUS.INTERNAL_ERROR)
+                    exc_info = sys.exc_info()
+                    _capture_exception(exc_info)
+                    reraise(*exc_info)
+
+                return result
+
+        rv = old_remote(_f, *args, *kwargs)
+        old_remote_method = rv.remote
+
+        def _remote_method_with_header_propagation(*args, **kwargs):
+            # type: (*Any, **Any) -> Any
+            """
+            Ray Client
+            """
+            with sentry_sdk.start_span(
+                op=OP.QUEUE_SUBMIT_RAY,
+                description=qualname_from_function(f),
+                origin=RayIntegration.origin,
+            ) as span:
+                tracing = {
+                    k: v
+                    for k, v in sentry_sdk.get_current_scope().iter_trace_propagation_headers()
+                }
+                try:
+                    result = old_remote_method(*args, **kwargs, _tracing=tracing)
+                    span.set_status(SPANSTATUS.OK)
+                except Exception:
+                    span.set_status(SPANSTATUS.INTERNAL_ERROR)
+                    exc_info = sys.exc_info()
+                    _capture_exception(exc_info)
+                    reraise(*exc_info)
+
+                return result
+
+        rv.remote = _remote_method_with_header_propagation
+
+        return rv
+
+    ray.remote = new_remote
+
+
+def _capture_exception(exc_info, **kwargs):
+    # type: (ExcInfo, **Any) -> None
+    client = sentry_sdk.get_client()
+
+    event, hint = event_from_exception(
+        exc_info,
+        client_options=client.options,
+        mechanism={
+            "handled": False,
+            "type": RayIntegration.identifier,
+        },
+    )
+    sentry_sdk.capture_event(event, hint=hint)
+
+
+class RayIntegration(Integration):
+    identifier = "ray"
+    origin = f"auto.queue.{identifier}"
+
+    @staticmethod
+    def setup_once():
+        # type: () -> None
+        version = package_version("ray")
+
+        if version is None:
+            raise DidNotEnable("Unparsable ray version: {}".format(version))
+
+        if version < (2, 7, 0):
+            raise DidNotEnable("Ray 2.7.0 or newer required")
+
+        _patch_ray_remote()

tests/integrations/ray/__init__.py

@@ -0,0 +1,3 @@
+import pytest
+
+pytest.importorskip("ray")

tests/integrations/ray/test_ray.py

@@ -0,0 +1,205 @@
+import json
+import os
+import pytest
+
+import ray
+
+import sentry_sdk
+from sentry_sdk.envelope import Envelope
+from sentry_sdk.integrations.ray import RayIntegration
+from tests.conftest import TestTransport
+
+
+class RayTestTransport(TestTransport):
+    def __init__(self):
+        self.envelopes = []
+        super().__init__()
+
+    def capture_envelope(self, envelope: Envelope) -> None:
+        self.envelopes.append(envelope)
+
+
+class RayLoggingTransport(TestTransport):
+    def __init__(self):
+        super().__init__()
+
+    def capture_envelope(self, envelope: Envelope) -> None:
+        print(envelope.serialize().decode("utf-8", "replace"))
+
+
+def setup_sentry_with_logging_transport():
+    setup_sentry(transport=RayLoggingTransport())
+
+
+def setup_sentry(transport=None):
+    sentry_sdk.init(
+        integrations=[RayIntegration()],
+        transport=RayTestTransport() if transport is None else transport,
+        traces_sample_rate=1.0,
+    )
+
+
+@pytest.mark.forked
+def test_ray_tracing():
+    setup_sentry()
+
+    ray.init(
+        runtime_env={
+            "worker_process_setup_hook": setup_sentry,
+            "working_dir": "./",
+        }
+    )
+
+    @ray.remote
+    def example_task():
+        with sentry_sdk.start_span(op="task", description="example task step"):
+            ...
+
+        return sentry_sdk.get_client().transport.envelopes
+
+    with sentry_sdk.start_transaction(op="task", name="ray test transaction"):
+        worker_envelopes = ray.get(example_task.remote())
+
+    client_envelope = sentry_sdk.get_client().transport.envelopes[0]
+    client_transaction = client_envelope.get_transaction_event()
+    worker_envelope = worker_envelopes[0]
+    worker_transaction = worker_envelope.get_transaction_event()
+
+    assert (
+        client_transaction["contexts"]["trace"]["trace_id"]
+        == client_transaction["contexts"]["trace"]["trace_id"]
+    )
+
+    for span in client_transaction["spans"]:
+        assert (
+            span["trace_id"]
+            == client_transaction["contexts"]["trace"]["trace_id"]
+            == client_transaction["contexts"]["trace"]["trace_id"]
+        )
+
+    for span in worker_transaction["spans"]:
+        assert (
+            span["trace_id"]
+            == client_transaction["contexts"]["trace"]["trace_id"]
+            == client_transaction["contexts"]["trace"]["trace_id"]
+        )
+
+
+@pytest.mark.forked
+def test_ray_spans():
+    setup_sentry()
+
+    ray.init(
+        runtime_env={
+            "worker_process_setup_hook": setup_sentry,
+            "working_dir": "./",
+        }
+    )
+
+    @ray.remote
+    def example_task():
+        return sentry_sdk.get_client().transport.envelopes
+
+    with sentry_sdk.start_transaction(op="task", name="ray test transaction"):
+        worker_envelopes = ray.get(example_task.remote())
+
+    client_envelope = sentry_sdk.get_client().transport.envelopes[0]
+    client_transaction = client_envelope.get_transaction_event()
+    worker_envelope = worker_envelopes[0]
+    worker_transaction = worker_envelope.get_transaction_event()
+
+    for span in client_transaction["spans"]:
+        assert span["op"] == "queue.submit.ray"
+        assert span["origin"] == "auto.queue.ray"
+
+    for span in worker_transaction["spans"]:
+        assert span["op"] == "queue.task.ray"
+        assert span["origin"] == "auto.queue.ray"
+
+
+@pytest.mark.forked
+def test_ray_errors():
+    setup_sentry_with_logging_transport()
+
+    ray.init(
+        runtime_env={
+            "worker_process_setup_hook": setup_sentry_with_logging_transport,
+            "working_dir": "./",
+        }
+    )
+
+    @ray.remote
+    def example_task():
+        1 / 0
+
+    with sentry_sdk.start_transaction(op="task", name="ray test transaction"):
+        with pytest.raises(ZeroDivisionError):
+            future = example_task.remote()
+            ray.get(future)
+
+    job_id = future.job_id().hex()
+
+    # Read the worker log output containing the error
+    log_dir = "/tmp/ray/session_latest/logs/"
+    log_file = [
+        f
+        for f in os.listdir(log_dir)
+        if "worker" in f and job_id in f and f.endswith(".out")
+    ][0]
+    with open(os.path.join(log_dir, log_file), "r") as file:
+        lines = file.readlines()
+        # parse error object from log line
+        error = json.loads(lines[4][:-1])
+
+    assert error["level"] == "error"
+    assert (
+        error["transaction"]
+        == "tests.integrations.ray.test_ray.test_ray_errors.<locals>.example_task"
+    )  # its in the worker, not the client thus not "ray test transaction"
+    assert error["exception"]["values"][0]["mechanism"]["type"] == "ray"
+    assert not error["exception"]["values"][0]["mechanism"]["handled"]
+
+
+@pytest.mark.forked
+def test_ray_actor():
+    setup_sentry()
+
+    ray.init(
+        runtime_env={
+            "worker_process_setup_hook": setup_sentry,
+            "working_dir": "./",
+        }
+    )
+
+    @ray.remote
+    class Counter(object):
+        def __init__(self):
+            self.n = 0
+
+        def increment(self):
+            with sentry_sdk.start_span(op="task", description="example task step"):
+                self.n += 1
+
+            return sentry_sdk.get_client().transport.envelopes
+
+    with sentry_sdk.start_transaction(op="task", name="ray test transaction"):
+        counter = Counter.remote()
+        worker_envelopes = ray.get(counter.increment.remote())
+
+    # Currently no transactions/spans are captured in actors
+    assert worker_envelopes == []
+
+    client_envelope = sentry_sdk.get_client().transport.envelopes[0]
+    client_transaction = client_envelope.get_transaction_event()
+
+    assert (
+        client_transaction["contexts"]["trace"]["trace_id"]
+        == client_transaction["contexts"]["trace"]["trace_id"]
+    )
+
+    for span in client_transaction["spans"]:
+        assert (
+            span["trace_id"]
+            == client_transaction["contexts"]["trace"]["trace_id"]
+            == client_transaction["contexts"]["trace"]["trace_id"]
+        )