diff --git a/CHANGELOG.md b/CHANGELOG.md index 37a9ad6410..8941037d50 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -17,6 +17,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - `opentelemetry-instrumentation-aiokafka` Add instrumentation of `consumer.getmany` (batch) ([#3257](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3257)) +- `opentelemetry-instrumentation-bullmq` Add instrumentation for `bullmq` + ([#3574](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3574)) ### Fixed diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/LICENSE b/instrumentation/opentelemetry-instrumentation-bullmq/LICENSE new file mode 100644 index 0000000000..3f9410623f --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/LICENSE @@ -0,0 +1,173 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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Unless otherwise agreed to in writing, + neither the Licensor nor any Contributor to this package will be liable + for any support, consultation, training, or assistance of any kind with + regard to the use, operation, and performance of this software nor to + provide any security related support (e.g., updates to address security + vulnerabilities, security patches or releases made specifically to + address security vulnerabilities). + + END OF TERMS AND CONDITIONS \ No newline at end of file diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/README.rst b/instrumentation/opentelemetry-instrumentation-bullmq/README.rst new file mode 100644 index 0000000000..dac38d0698 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/README.rst @@ -0,0 +1,54 @@ +OpenTelemetry BullMQ Instrumentation +==================================== + +|pypi| + +.. |pypi| image:: https://badge.fury.io/py/opentelemetry-instrumentation-bullmq.svg + :target: https://pypi.org/project/opentelemetry-instrumentation-bullmq/ + +This library allows tracing BullMQ job queue operations. + +Installation +------------ + +:: + + pip install opentelemetry-instrumentation-bullmq + +Usage +----- + +* Start Redis backend + +.. code-block:: bash + + docker run -p 6379:6379 redis + +* Run instrumented application + +.. code-block:: python + + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + from bullmq import Queue, Worker + + # Instrument BullMQ + BullMQInstrumentor().instrument() + + # Create queue and add job + queue = Queue("myqueue") + await queue.add("myjob", {"foo": "bar"}) + + # Create worker to process jobs + async def process_job(job): + print(f"Processing job {job.id}: {job.data}") + return "completed" + + worker = Worker("myqueue", process_job) + await worker.run() + +References +---------- + +* `OpenTelemetry BullMQ Instrumentation `_ +* `OpenTelemetry Project `_ +* `BullMQ Python `_ \ No newline at end of file diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/pyproject.toml b/instrumentation/opentelemetry-instrumentation-bullmq/pyproject.toml new file mode 100644 index 0000000000..d811cf7f53 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/pyproject.toml @@ -0,0 +1,57 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "opentelemetry-instrumentation-bullmq" +dynamic = ["version"] +description = "OpenTelemetry BullMQ Instrumentation" +readme = "README.rst" +license = "Apache-2.0" +requires-python = ">=3.8" +authors = [ + { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" }, +] +classifiers = [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", +] +dependencies = [ + "opentelemetry-api ~= 1.12", + "opentelemetry-instrumentation == 0.52b0.dev", + "opentelemetry-semantic-conventions == 0.52b0.dev", + "wrapt >= 1.0.0, < 2.0.0", +] + +[project.optional-dependencies] +instruments = [ + "bullmq", +] + +[project.entry-points.opentelemetry_instrumentor] +bullmq = "opentelemetry.instrumentation.bullmq:BullMQInstrumentor" + +[project.urls] +Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation/opentelemetry-instrumentation-bullmq" +Repository = "https://github.com/open-telemetry/opentelemetry-python-contrib" + +[tool.hatch.version] +path = "src/opentelemetry/instrumentation/bullmq/version.py" + +[tool.hatch.build.targets.sdist] +include = [ + "/src", + "/tests", +] + +[tool.hatch.build.targets.wheel] +packages = ["src/opentelemetry"] \ No newline at end of file diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/__init__.py b/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/__init__.py new file mode 100644 index 0000000000..f8b8bef9e4 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/__init__.py @@ -0,0 +1,450 @@ +# Copyright The OpenTelemetry 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. + +""" +Instrument `bullmq`_ to trace BullMQ job queue operations. + +.. _bullmq: https://pypi.org/project/bullmq/ + +Usage +----- + +* Start Redis backend + +.. code:: + + docker run -p 6379:6379 redis + + +* Run instrumented application + +.. code:: python + + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + from bullmq import Queue, Worker + + # Instrument BullMQ with configuration + BullMQInstrumentor().instrument( + emit_create_spans_for_bulk=True, + require_parent_span_for_publish=False, + use_producer_span_as_consumer_parent=True + ) + + # Create queue and add job + queue = Queue("myqueue") + await queue.add("myjob", {"foo": "bar"}) + + # Create worker to process jobs + async def process_job(job): + print(f"Processing job {job.id}: {job.data}") + return "completed" + + worker = Worker("myqueue", process_job) + await worker.run() + +Configuration +------------- + +The instrumentation can be configured with the following options: + +* ``emit_create_spans_for_bulk``: Whether to create spans for individual jobs in bulk operations (default: False) +* ``require_parent_span_for_publish``: Whether publishing operations require an active parent span (default: False) +* ``use_producer_span_as_consumer_parent``: Whether consumer spans should use producer spans as parents (default: True) + +API +--- +""" + +import logging +from typing import Collection, Optional +from wrapt import wrap_function_wrapper + +from opentelemetry import context as context_api, trace +from opentelemetry.instrumentation.bullmq.package import _instruments +from opentelemetry.instrumentation.bullmq.version import __version__ +from opentelemetry.instrumentation.instrumentor import BaseInstrumentor +from opentelemetry.instrumentation.utils import unwrap +from opentelemetry.propagate import extract, inject +from opentelemetry.propagators.textmap import Getter, Setter +from opentelemetry.semconv.trace import SpanAttributes +from opentelemetry.trace.status import Status, StatusCode + +logger = logging.getLogger(__name__) + +# BullMQ specific attributes +class BullMQAttributes: + BULLMQ_JOB_ID = "bullmq.job.id" + BULLMQ_JOB_NAME = "bullmq.job.name" + BULLMQ_JOB_DATA_SIZE = "bullmq.job.data_size" + BULLMQ_JOB_OPTS = "bullmq.job.opts" + BULLMQ_JOB_DELAY = "bullmq.job.delay" + BULLMQ_JOB_PRIORITY = "bullmq.job.priority" + BULLMQ_JOB_ATTEMPTS = "bullmq.job.attempts" + BULLMQ_JOB_TIMESTAMP = "bullmq.job.timestamp" + BULLMQ_JOB_PROCESSED_ON = "bullmq.job.processed_on" + BULLMQ_JOB_FINISHED_ON = "bullmq.job.finished_on" + BULLMQ_JOB_FAILED_REASON = "bullmq.job.failed_reason" + BULLMQ_QUEUE_NAME = "bullmq.queue.name" + BULLMQ_WORKER_NAME = "bullmq.worker.name" + BULLMQ_WORKER_CONCURRENCY = "bullmq.worker.concurrency" + BULLMQ_OPERATION = "bullmq.operation" + BULLMQ_JOBS_COUNT = "bullmq.jobs.count" + + +class BullMQJobGetter(Getter): + """Getter for extracting context from BullMQ job options""" + + def get(self, carrier, key): + if hasattr(carrier, 'opts') and isinstance(carrier.opts, dict): + return carrier.opts.get(key) + return None + + def keys(self, carrier): + if hasattr(carrier, 'opts') and isinstance(carrier.opts, dict): + # Only return OpenTelemetry trace header keys + otel_keys = [k for k in carrier.opts.keys() if k.startswith(('traceparent', 'tracestate', 'baggage'))] + return otel_keys + return [] + + +class BullMQJobSetter(Setter): + """Setter for injecting context into BullMQ job options""" + + def set(self, carrier, key, value): + if hasattr(carrier, 'opts') and isinstance(carrier.opts, dict): + carrier.opts[key] = value + + +bullmq_job_getter = BullMQJobGetter() +bullmq_job_setter = BullMQJobSetter() + + +class BullMQInstrumentor(BaseInstrumentor): + """An instrumentor for BullMQ""" + + def __init__(self): + super().__init__() + self._config = { + "emit_create_spans_for_bulk": False, + "require_parent_span_for_publish": False, + "use_producer_span_as_consumer_parent": True, + } + + def instrumentation_dependencies(self) -> Collection[str]: + return _instruments + + def _instrument(self, **kwargs): + """Instruments BullMQ library""" + tracer_provider = kwargs.get("tracer_provider") + + # Update configuration with provided options + self._config.update({ + k: v for k, v in kwargs.items() + if k in self._config and v is not None + }) + + # pylint: disable=attribute-defined-outside-init + self._tracer = trace.get_tracer( + __name__, + __version__, + tracer_provider, + schema_url="https://opentelemetry.io/schemas/1.11.0", + ) + + # Instrument Queue operations + wrap_function_wrapper( + "bullmq", "Queue.add", self._trace_queue_add + ) + wrap_function_wrapper( + "bullmq", "Queue.add_bulk", self._trace_queue_add_bulk + ) + + # Instrument Worker operations - we'll hook into job processing + wrap_function_wrapper( + "bullmq", "Worker.run", self._trace_worker_run + ) + + def _uninstrument(self, **kwargs): + """Uninstruments BullMQ library""" + unwrap("bullmq.Queue", "add") + unwrap("bullmq.Queue", "add_bulk") + unwrap("bullmq.Worker", "run") + + def _trace_queue_add(self, wrapped, instance, args, kwargs): + """Trace Queue.add method""" + job_name = args[0] if args else kwargs.get("name", "unknown") + job_data = args[1] if len(args) > 1 else kwargs.get("data", {}) + job_opts = args[2] if len(args) > 2 else kwargs.get("opts", {}) + + # Check if we require a parent span for publishing + if self._config["require_parent_span_for_publish"]: + current_span = trace.get_current_span() + if not current_span or not current_span.is_recording(): + # No active span, skip instrumentation + return wrapped(*args, **kwargs) + + with self._tracer.start_as_current_span( + f"{instance.name} publish", + kind=trace.SpanKind.PRODUCER + ) as span: + if span.is_recording(): + # Standard messaging attributes + span.set_attribute(SpanAttributes.MESSAGING_SYSTEM, "bullmq") + span.set_attribute(SpanAttributes.MESSAGING_DESTINATION_NAME, instance.name) + span.set_attribute(SpanAttributes.MESSAGING_OPERATION, "publish") + + # BullMQ specific attributes + span.set_attribute(BullMQAttributes.BULLMQ_JOB_NAME, job_name) + span.set_attribute(BullMQAttributes.BULLMQ_QUEUE_NAME, instance.name) + span.set_attribute(BullMQAttributes.BULLMQ_OPERATION, "add") + + # Job data size + if job_data and hasattr(job_data, "__len__"): + span.set_attribute(BullMQAttributes.BULLMQ_JOB_DATA_SIZE, len(str(job_data))) + + # Job options + if job_opts: + if "delay" in job_opts: + span.set_attribute(BullMQAttributes.BULLMQ_JOB_DELAY, job_opts["delay"]) + if "priority" in job_opts: + span.set_attribute(BullMQAttributes.BULLMQ_JOB_PRIORITY, job_opts["priority"]) + if "attempts" in job_opts: + span.set_attribute(BullMQAttributes.BULLMQ_JOB_ATTEMPTS, job_opts["attempts"]) + + try: + # Create a mock job object to inject context into options + class JobMock: + def __init__(self, opts): + self.opts = opts if opts else {} + + job_mock = JobMock(job_opts) + + # Inject trace context into job options for distributed tracing + inject(job_mock, setter=bullmq_job_setter) + + # Update the job options with injected headers + if len(args) > 2: + args = list(args) + args[2] = job_mock.opts + args = tuple(args) + else: + kwargs["opts"] = job_mock.opts + + result = wrapped(*args, **kwargs) + + if span.is_recording() and hasattr(result, "id"): + span.set_attribute(SpanAttributes.MESSAGING_MESSAGE_ID, str(result.id)) + span.set_attribute(BullMQAttributes.BULLMQ_JOB_ID, str(result.id)) + + # Add timestamp if available + if hasattr(result, "timestamp"): + span.set_attribute(BullMQAttributes.BULLMQ_JOB_TIMESTAMP, result.timestamp) + + return result + + except Exception as exc: + if span.is_recording(): + span.record_exception(exc) + span.set_status(Status(StatusCode.ERROR, str(exc))) + raise + + def _trace_queue_add_bulk(self, wrapped, instance, args, kwargs): + """Trace Queue.add_bulk method""" + jobs = args[0] if args else kwargs.get("jobs", []) + job_count = len(jobs) if hasattr(jobs, "__len__") else 0 + + # Check if we require a parent span for publishing + if self._config["require_parent_span_for_publish"]: + current_span = trace.get_current_span() + if not current_span or not current_span.is_recording(): + return wrapped(*args, **kwargs) + + with self._tracer.start_as_current_span( + f"{instance.name} publish_bulk", + kind=trace.SpanKind.PRODUCER + ) as span: + if span.is_recording(): + # Standard messaging attributes + span.set_attribute(SpanAttributes.MESSAGING_SYSTEM, "bullmq") + span.set_attribute(SpanAttributes.MESSAGING_DESTINATION_NAME, instance.name) + span.set_attribute(SpanAttributes.MESSAGING_OPERATION, "publish") + + # BullMQ specific attributes + span.set_attribute(BullMQAttributes.BULLMQ_QUEUE_NAME, instance.name) + span.set_attribute(BullMQAttributes.BULLMQ_JOBS_COUNT, job_count) + span.set_attribute(BullMQAttributes.BULLMQ_OPERATION, "add_bulk") + + try: + # Process individual jobs if configured + if self._config["emit_create_spans_for_bulk"] and jobs: + processed_jobs = [] + for job in jobs: + job_name = job.get("name", "unknown") if isinstance(job, dict) else "unknown" + job_data = job.get("data", {}) if isinstance(job, dict) else {} + + with self._tracer.start_as_current_span( + f"{instance.name} publish", + kind=trace.SpanKind.PRODUCER + ) as job_span: + if job_span.is_recording(): + job_span.set_attribute(SpanAttributes.MESSAGING_SYSTEM, "bullmq") + job_span.set_attribute(SpanAttributes.MESSAGING_DESTINATION_NAME, instance.name) + job_span.set_attribute(SpanAttributes.MESSAGING_OPERATION, "publish") + job_span.set_attribute(BullMQAttributes.BULLMQ_JOB_NAME, job_name) + job_span.set_attribute(BullMQAttributes.BULLMQ_QUEUE_NAME, instance.name) + job_span.set_attribute(BullMQAttributes.BULLMQ_OPERATION, "add") + + if job_data and hasattr(job_data, "__len__"): + job_span.set_attribute(BullMQAttributes.BULLMQ_JOB_DATA_SIZE, len(str(job_data))) + + # Inject context into individual job options + if isinstance(job, dict): + class JobMock: + def __init__(self, opts): + self.opts = opts if opts else {} + + job_opts = job.get("opts", {}) + job_mock = JobMock(job_opts) + inject(job_mock, setter=bullmq_job_setter) + job["opts"] = job_mock.opts + + processed_jobs.append(job) + + # Update jobs with trace context + if len(args) > 0: + args = list(args) + args[0] = processed_jobs + args = tuple(args) + else: + kwargs["jobs"] = processed_jobs + else: + # Inject context into job options for bulk operations + if jobs: + for job in jobs: + if isinstance(job, dict): + class JobMock: + def __init__(self, opts): + self.opts = opts if opts else {} + + job_opts = job.get("opts", {}) + job_mock = JobMock(job_opts) + inject(job_mock, setter=bullmq_job_setter) + job["opts"] = job_mock.opts + + result = wrapped(*args, **kwargs) + return result + + except Exception as exc: + if span.is_recording(): + span.record_exception(exc) + span.set_status(Status(StatusCode.ERROR, str(exc))) + raise + + def _trace_worker_run(self, wrapped, instance, args, kwargs): + """Trace Worker.run method and individual job processing""" + # We need to instrument job processing, which happens inside the worker + # For now, we'll hook into the worker initialization and wrap the processor function + + # Get the original processor function + original_processor = getattr(instance, "processor", None) + + if original_processor and not hasattr(original_processor, "_bullmq_instrumented"): + # Wrap the processor function to create spans for individual job processing + def instrumented_processor(job, *proc_args, **proc_kwargs): + return self._trace_job_processing(original_processor, job, *proc_args, **proc_kwargs) + + # Mark as instrumented to avoid double wrapping + instrumented_processor._bullmq_instrumented = True + instance.processor = instrumented_processor + + # Create a span for the worker run operation + with self._tracer.start_as_current_span( + f"{instance.name} worker.run", + kind=trace.SpanKind.CONSUMER + ) as span: + if span.is_recording(): + span.set_attribute(SpanAttributes.MESSAGING_SYSTEM, "bullmq") + span.set_attribute(SpanAttributes.MESSAGING_DESTINATION_NAME, instance.name) + span.set_attribute(SpanAttributes.MESSAGING_OPERATION, "receive") + span.set_attribute(BullMQAttributes.BULLMQ_WORKER_NAME, instance.name) + span.set_attribute(BullMQAttributes.BULLMQ_WORKER_CONCURRENCY, getattr(instance, "concurrency", 1)) + + try: + return wrapped(*args, **kwargs) + except Exception as exc: + if span.is_recording(): + span.record_exception(exc) + span.set_status(Status(StatusCode.ERROR, str(exc))) + raise + + def _trace_job_processing(self, processor, job, *args, **kwargs): + """Create spans for individual job processing""" + job_name = getattr(job, "name", "unknown") + job_id = getattr(job, "id", "unknown") + queue_name = getattr(job, "queue_name", "unknown") + + # Extract context from job data for distributed tracing + parent_context = None + if self._config["use_producer_span_as_consumer_parent"]: + parent_context = extract(job, getter=bullmq_job_getter) + + with self._tracer.start_as_current_span( + f"{queue_name} process", + context=parent_context, + kind=trace.SpanKind.CONSUMER + ) as span: + if span.is_recording(): + # Standard messaging attributes + span.set_attribute(SpanAttributes.MESSAGING_SYSTEM, "bullmq") + span.set_attribute(SpanAttributes.MESSAGING_DESTINATION_NAME, queue_name) + span.set_attribute(SpanAttributes.MESSAGING_OPERATION, "process") + span.set_attribute(SpanAttributes.MESSAGING_MESSAGE_ID, str(job_id)) + + # BullMQ specific attributes + span.set_attribute(BullMQAttributes.BULLMQ_JOB_ID, str(job_id)) + span.set_attribute(BullMQAttributes.BULLMQ_JOB_NAME, job_name) + span.set_attribute(BullMQAttributes.BULLMQ_QUEUE_NAME, queue_name) + span.set_attribute(BullMQAttributes.BULLMQ_OPERATION, "process") + + # Job timing information + if hasattr(job, "timestamp"): + span.set_attribute(BullMQAttributes.BULLMQ_JOB_TIMESTAMP, job.timestamp) + if hasattr(job, "processed_on"): + span.set_attribute(BullMQAttributes.BULLMQ_JOB_PROCESSED_ON, job.processed_on) + if hasattr(job, "attempts_made"): + span.set_attribute(BullMQAttributes.BULLMQ_JOB_ATTEMPTS, job.attempts_made) + + # Job data size + if hasattr(job, "data") and job.data: + span.set_attribute(BullMQAttributes.BULLMQ_JOB_DATA_SIZE, len(str(job.data))) + + try: + result = processor(job, *args, **kwargs) + + if span.is_recording(): + # Add completion timestamp + if hasattr(job, "finished_on"): + span.set_attribute(BullMQAttributes.BULLMQ_JOB_FINISHED_ON, job.finished_on) + + # Mark as successful + span.set_status(Status(StatusCode.OK)) + + return result + + except Exception as exc: + if span.is_recording(): + span.record_exception(exc) + span.set_status(Status(StatusCode.ERROR, str(exc))) + span.set_attribute(BullMQAttributes.BULLMQ_JOB_FAILED_REASON, str(exc)) + raise \ No newline at end of file diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/package.py b/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/package.py new file mode 100644 index 0000000000..7c2742b745 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/package.py @@ -0,0 +1,15 @@ +# Copyright The OpenTelemetry 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. + +_instruments = ("bullmq",) \ No newline at end of file diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/version.py b/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/version.py new file mode 100644 index 0000000000..b7db696727 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/src/opentelemetry/instrumentation/bullmq/version.py @@ -0,0 +1,15 @@ +# Copyright The OpenTelemetry 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. + +__version__ = "0.52b0.dev" \ No newline at end of file diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/test-requirements.txt b/instrumentation/opentelemetry-instrumentation-bullmq/test-requirements.txt new file mode 100644 index 0000000000..b408500ac0 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/test-requirements.txt @@ -0,0 +1 @@ +bullmq \ No newline at end of file diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/tests/__init__.py b/instrumentation/opentelemetry-instrumentation-bullmq/tests/__init__.py new file mode 100644 index 0000000000..eacf7c9c0e --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/tests/__init__.py @@ -0,0 +1,13 @@ +# Copyright The OpenTelemetry 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. \ No newline at end of file diff --git a/instrumentation/opentelemetry-instrumentation-bullmq/tests/test_bullmq_instrumentation.py b/instrumentation/opentelemetry-instrumentation-bullmq/tests/test_bullmq_instrumentation.py new file mode 100644 index 0000000000..63a2508974 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-bullmq/tests/test_bullmq_instrumentation.py @@ -0,0 +1,377 @@ +# Copyright The OpenTelemetry 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 unittest +from unittest.mock import MagicMock, patch + +from opentelemetry.instrumentation.bullmq import BullMQInstrumentor, BullMQAttributes +from opentelemetry.semconv.trace import SpanAttributes +from opentelemetry.test.test_base import TestBase +from opentelemetry.trace import SpanKind, StatusCode + + +class TestBullMQInstrumentation(TestBase): + def setUp(self): + super().setUp() + self.instrumentor = BullMQInstrumentor() + + def tearDown(self): + super().tearDown() + self.instrumentor.uninstrument() + + @patch("bullmq.Queue") + def test_queue_add_instrumentation(self, mock_queue_class): + """Test that Queue.add method is properly instrumented""" + self.instrumentor.instrument() + + # Create mock queue instance + mock_queue = MagicMock() + mock_queue.name = "test_queue" + mock_queue_class.return_value = mock_queue + + # Mock the job result + mock_job = MagicMock() + mock_job.id = "job_123" + mock_job.timestamp = 1234567890 + + # Import after instrumentation to ensure wrapping + with patch("bullmq.Queue.add", return_value=mock_job) as mock_add: + # Simulate calling queue.add + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + instrumentor = BullMQInstrumentor() + instrumentor._trace_queue_add( + mock_add, mock_queue, ("test_job", {"data": "test"}, {"delay": 1000, "priority": 5}), {} + ) + + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(len(spans), 1) + + span = spans[0] + self.assertEqual(span.name, "test_queue publish") + self.assertEqual(span.kind, SpanKind.PRODUCER) + self.assertSpanHasAttributes( + span, + { + SpanAttributes.MESSAGING_SYSTEM: "bullmq", + SpanAttributes.MESSAGING_DESTINATION_NAME: "test_queue", + SpanAttributes.MESSAGING_OPERATION: "publish", + SpanAttributes.MESSAGING_MESSAGE_ID: "job_123", + BullMQAttributes.BULLMQ_JOB_ID: "job_123", + BullMQAttributes.BULLMQ_JOB_NAME: "test_job", + BullMQAttributes.BULLMQ_QUEUE_NAME: "test_queue", + BullMQAttributes.BULLMQ_OPERATION: "add", + BullMQAttributes.BULLMQ_JOB_DELAY: 1000, + BullMQAttributes.BULLMQ_JOB_PRIORITY: 5, + BullMQAttributes.BULLMQ_JOB_TIMESTAMP: 1234567890, + }, + ) + + @patch("bullmq.Queue") + def test_queue_add_bulk_instrumentation(self, mock_queue_class): + """Test that Queue.add_bulk method is properly instrumented""" + self.instrumentor.instrument() + + # Create mock queue instance + mock_queue = MagicMock() + mock_queue.name = "test_queue" + mock_queue_class.return_value = mock_queue + + # Mock jobs list + jobs = [{"name": "job1", "data": {}}, {"name": "job2", "data": {}}] + + # Import after instrumentation to ensure wrapping + with patch("bullmq.Queue.add_bulk", return_value=[]) as mock_add_bulk: + # Simulate calling queue.add_bulk + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + instrumentor = BullMQInstrumentor() + instrumentor._trace_queue_add_bulk( + mock_add_bulk, mock_queue, (jobs,), {} + ) + + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(len(spans), 1) + + span = spans[0] + self.assertEqual(span.name, "test_queue publish_bulk") + self.assertEqual(span.kind, SpanKind.PRODUCER) + self.assertSpanHasAttributes( + span, + { + SpanAttributes.MESSAGING_SYSTEM: "bullmq", + SpanAttributes.MESSAGING_DESTINATION_NAME: "test_queue", + SpanAttributes.MESSAGING_OPERATION: "publish", + BullMQAttributes.BULLMQ_QUEUE_NAME: "test_queue", + BullMQAttributes.BULLMQ_JOBS_COUNT: 2, + BullMQAttributes.BULLMQ_OPERATION: "add_bulk", + }, + ) + + @patch("bullmq.Queue") + def test_queue_add_bulk_with_individual_spans(self, mock_queue_class): + """Test bulk operations with individual span creation enabled""" + self.instrumentor.instrument(emit_create_spans_for_bulk=True) + + # Create mock queue instance + mock_queue = MagicMock() + mock_queue.name = "test_queue" + mock_queue_class.return_value = mock_queue + + # Mock jobs list + jobs = [{"name": "job1", "data": {"key": "value1"}}, {"name": "job2", "data": {"key": "value2"}}] + + # Import after instrumentation to ensure wrapping + with patch("bullmq.Queue.add_bulk", return_value=[]) as mock_add_bulk: + # Simulate calling queue.add_bulk + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + instrumentor = BullMQInstrumentor() + instrumentor._trace_queue_add_bulk( + mock_add_bulk, mock_queue, (jobs,), {} + ) + + spans = self.memory_exporter.get_finished_spans() + # Should have 3 spans: 1 bulk span + 2 individual job spans + self.assertEqual(len(spans), 3) + + # Check bulk span + bulk_span = spans[2] # Last span created + self.assertEqual(bulk_span.name, "test_queue publish_bulk") + self.assertEqual(bulk_span.kind, SpanKind.PRODUCER) + + # Check individual job spans + for i, span in enumerate(spans[:2]): + self.assertEqual(span.name, "test_queue publish") + self.assertEqual(span.kind, SpanKind.PRODUCER) + self.assertSpanHasAttributes( + span, + { + BullMQAttributes.BULLMQ_JOB_NAME: f"job{i+1}", + BullMQAttributes.BULLMQ_OPERATION: "add", + }, + ) + + @patch("bullmq.Worker") + def test_worker_run_instrumentation(self, mock_worker_class): + """Test that Worker.run method is properly instrumented""" + self.instrumentor.instrument() + + # Create mock worker instance + mock_worker = MagicMock() + mock_worker.name = "test_worker" + mock_worker.concurrency = 5 + mock_worker.processor = None # No processor to wrap + mock_worker_class.return_value = mock_worker + + # Import after instrumentation to ensure wrapping + with patch("bullmq.Worker.run", return_value=None) as mock_run: + # Simulate calling worker.run + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + instrumentor = BullMQInstrumentor() + instrumentor._trace_worker_run( + mock_run, mock_worker, (), {} + ) + + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(len(spans), 1) + + span = spans[0] + self.assertEqual(span.name, "test_worker worker.run") + self.assertEqual(span.kind, SpanKind.CONSUMER) + self.assertSpanHasAttributes( + span, + { + SpanAttributes.MESSAGING_SYSTEM: "bullmq", + SpanAttributes.MESSAGING_DESTINATION_NAME: "test_worker", + SpanAttributes.MESSAGING_OPERATION: "receive", + BullMQAttributes.BULLMQ_WORKER_NAME: "test_worker", + BullMQAttributes.BULLMQ_WORKER_CONCURRENCY: 5, + }, + ) + + def test_job_processing_instrumentation(self): + """Test that individual job processing is instrumented""" + self.instrumentor.instrument() + + # Create mock job + mock_job = MagicMock() + mock_job.id = "job_456" + mock_job.name = "test_job" + mock_job.queue_name = "test_queue" + mock_job.data = {"key": "value"} + mock_job.opts = {"traceparent": "test_trace"} + mock_job.timestamp = 1234567890 + mock_job.processed_on = 1234567900 + mock_job.attempts_made = 1 + mock_job.finished_on = 1234567910 + + # Mock processor function + def mock_processor(job): + return "processed" + + # Import after instrumentation to ensure wrapping + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + instrumentor = BullMQInstrumentor() + result = instrumentor._trace_job_processing(mock_processor, mock_job) + + self.assertEqual(result, "processed") + + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(len(spans), 1) + + span = spans[0] + self.assertEqual(span.name, "test_queue process") + self.assertEqual(span.kind, SpanKind.CONSUMER) + self.assertEqual(span.status.status_code, StatusCode.OK) + self.assertSpanHasAttributes( + span, + { + SpanAttributes.MESSAGING_SYSTEM: "bullmq", + SpanAttributes.MESSAGING_DESTINATION_NAME: "test_queue", + SpanAttributes.MESSAGING_OPERATION: "process", + SpanAttributes.MESSAGING_MESSAGE_ID: "job_456", + BullMQAttributes.BULLMQ_JOB_ID: "job_456", + BullMQAttributes.BULLMQ_JOB_NAME: "test_job", + BullMQAttributes.BULLMQ_QUEUE_NAME: "test_queue", + BullMQAttributes.BULLMQ_OPERATION: "process", + BullMQAttributes.BULLMQ_JOB_TIMESTAMP: 1234567890, + BullMQAttributes.BULLMQ_JOB_PROCESSED_ON: 1234567900, + BullMQAttributes.BULLMQ_JOB_ATTEMPTS: 1, + BullMQAttributes.BULLMQ_JOB_FINISHED_ON: 1234567910, + }, + ) + + def test_job_processing_error_handling(self): + """Test error handling in job processing instrumentation""" + self.instrumentor.instrument() + + # Create mock job + mock_job = MagicMock() + mock_job.id = "job_error" + mock_job.name = "error_job" + mock_job.queue_name = "test_queue" + mock_job.data = {"key": "value"} + + # Mock processor function that raises an exception + def error_processor(job): + raise Exception("Processing failed") + + # Import after instrumentation to ensure wrapping + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + instrumentor = BullMQInstrumentor() + + with self.assertRaises(Exception): + instrumentor._trace_job_processing(error_processor, mock_job) + + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(len(spans), 1) + + span = spans[0] + self.assertEqual(span.status.status_code, StatusCode.ERROR) + self.assertEqual(span.status.description, "Processing failed") + self.assertSpanHasAttributes( + span, + { + BullMQAttributes.BULLMQ_JOB_FAILED_REASON: "Processing failed", + }, + ) + + # Check that exception was recorded + self.assertEqual(len(span.events), 1) + event = span.events[0] + self.assertEqual(event.name, "exception") + + def test_configuration_options(self): + """Test configuration options work correctly""" + # Test emit_create_spans_for_bulk + self.instrumentor.instrument(emit_create_spans_for_bulk=True) + self.assertTrue(self.instrumentor._config["emit_create_spans_for_bulk"]) + + # Test require_parent_span_for_publish + self.instrumentor.uninstrument() + self.instrumentor.instrument(require_parent_span_for_publish=True) + self.assertTrue(self.instrumentor._config["require_parent_span_for_publish"]) + + # Test use_producer_span_as_consumer_parent + self.instrumentor.uninstrument() + self.instrumentor.instrument(use_producer_span_as_consumer_parent=False) + self.assertFalse(self.instrumentor._config["use_producer_span_as_consumer_parent"]) + + @patch("bullmq.Queue") + def test_require_parent_span_for_publish(self, mock_queue_class): + """Test that publishing operations can require parent spans""" + self.instrumentor.instrument(require_parent_span_for_publish=True) + + # Create mock queue instance + mock_queue = MagicMock() + mock_queue.name = "test_queue" + mock_queue_class.return_value = mock_queue + + # Import after instrumentation to ensure wrapping + with patch("bullmq.Queue.add", return_value=MagicMock()) as mock_add: + # Simulate calling queue.add without parent span + from opentelemetry.instrumentation.bullmq import BullMQInstrumentor + instrumentor = BullMQInstrumentor() + instrumentor._trace_queue_add( + mock_add, mock_queue, ("test_job", {"data": "test"}), {} + ) + + # Should call wrapped function but not create span + mock_add.assert_called_once() + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(len(spans), 0) + + def test_instrumentation_dependencies(self): + """Test that instrumentation dependencies are correctly defined""" + dependencies = self.instrumentor.instrumentation_dependencies() + self.assertIn("bullmq", dependencies) + + def test_uninstrument(self): + """Test that uninstrumentation works correctly""" + self.instrumentor.instrument() + self.instrumentor.uninstrument() + + # After uninstrumentation, no spans should be created + # This test would need actual BullMQ library to be fully effective + # but tests the uninstrument method doesn't raise errors + self.assertTrue(True) # Placeholder assertion + + def test_trace_propagation_headers(self): + """Test that trace context is properly injected into job data""" + self.instrumentor.instrument() + + # Create mock queue instance + mock_queue = MagicMock() + mock_queue.name = "test_queue" + + # Create a span to provide context + with self.instrumentor._tracer.start_as_current_span("parent_span"): + with patch("bullmq.Queue.add", return_value=MagicMock()) as mock_add: + # Simulate calling queue.add + job_data = {"original": "data"} + self.instrumentor._trace_queue_add( + mock_add, mock_queue, ("test_job", job_data), {} + ) + + # Check that trace context was injected into job options + call_args = mock_add.call_args + if len(call_args[0]) > 2: + updated_opts = call_args[0][2] # Third argument (job opts) + else: + updated_opts = call_args[1].get("opts", {}) + # Should contain OpenTelemetry trace headers in job options + has_trace_headers = any(k.startswith(('traceparent', 'tracestate')) for k in updated_opts.keys()) + self.assertTrue(has_trace_headers) + + +if __name__ == "__main__": + unittest.main() \ No newline at end of file