OpenCensus Trace for Python =========================== |gitter| |circleci| |pypi| .. |circleci| image:: https://circleci.com/gh/census-instrumentation/opencensus-python.svg?style=shield :target: https://circleci.com/gh/census-instrumentation/opencensus-python .. |gitter| image:: https://badges.gitter.im/census-instrumentation/lobby.svg :target: https://gitter.im/census-instrumentation/lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge .. |pypi| image:: https://badge.fury.io/py/opencensus.svg :target: https://pypi.org/project/opencensus/ `OpenCensus`_ for Python. OpenCensus provides a framework to measure a server's resource usage and collect performance stats. This repository contains Python related utilities and supporting software needed by OpenCensus. .. _OpenCensus: https://github.com/census-instrumentation - `API Documentation`_ .. _API Documentation: https://opencensus.io/api/python/trace/usage.html -------- Tracing -------- Installation & basic usage -------------------------- 1. Install the opencensus package using `pip`_ or `pipenv`_: :: pip install opencensus pipenv install opencensus 2. Initialize a tracer for your application: .. code:: python from opencensus.trace.tracer import Tracer from opencensus.trace.samplers import AlwaysOnSampler tracer = Tracer(sampler=AlwaysOnSampler()) .. _pip: https://pip.pypa.io .. _pipenv: https://docs.pipenv.org/ 3. Initialize a view_manager and a stats_recorder for your application: .. code:: python from opencensus.stats import stats as stats_module stats = stats_module.stats view_manager = stats.view_manager stats_recorder = stats.stats_recorder Usage ----- You can collect traces using the ``Tracer`` `context manager`_: .. code:: python from opencensus.trace.tracer import Tracer from opencensus.trace.samplers import AlwaysOnSampler # Initialize a tracer, by default using the `PrintExporter` tracer = Tracer(sampler=AlwaysOnSampler()) # Example for creating nested spans with tracer.span(name='span1') as span1: do_something_to_trace() with span1.span(name='span1_child1') as span1_child1: do_something_to_trace() with span1.span(name='span1_child2') as span1_child2: do_something_to_trace() with tracer.span(name='span2') as span2: do_something_to_trace() OpenCensus will collect everything within the ``with`` statement as a single span. Alternatively, you can explicitly start and end a span: .. code:: python from opencensus.trace.tracer import Tracer from opencensus.trace.samplers import AlwaysOnSampler # Initialize a tracer, by default using the `PrintExporter` tracer = Tracer(sampler=AlwaysOnSampler()) tracer.start_span(name='span1') do_something_to_trace() tracer.end_span() .. _context manager: https://docs.python.org/3/reference/datamodel.html#context-managers Customization ------------- There are several things you can customize in OpenCensus: * **Blacklist**, which excludes certain hosts and paths from being tracked. By default, the health check path for the App Engine flexible environment is not tracked, you can turn it on by excluding it from the blacklist setting. * **Exporter**, which sends the traces. By default, the traces are printed to stdout in JSON format. You can choose different exporters to send the traces to. There are three built-in exporters, which are ``PrintExporter``, ``FileExporter`` and ``LoggingExporter``, the other exporters are provided as `extensions <#trace-exporter>`__. * **Sampler**, which determines how traces are sampled. The default sampler is the ``ProbabilitySampler``, which samples (i.e. enables tracing for) a percentage of all requests. Sampling is deterministic according to the trace ID. To force sampling for all requests, or to prevent any request from being sampled, see ``AlwaysOnSampler`` and ``AlwaysOffSampler``. * **Propagator**, which serializes and deserializes the ``SpanContext`` and its headers. The default propagator is ``TraceContextPropagator``, other propagators include ``BinaryFormatPropagator``, ``GoogleCloudFormatPropagator`` and ``TextFormatPropagator``. You can customize while initializing a tracer. .. code:: python import requests from opencensus.trace import config_integration from opencensus.trace import file_exporter from opencensus.trace import tracer as tracer_module from opencensus.trace.propagation import google_cloud_format from opencensus.trace.samplers import ProbabilitySampler config_integration.trace_integrations(['httplib']) tracer = tracer_module.Tracer( exporter=file_exporter.FileExporter(file_name='traces'), propagator=google_cloud_format.GoogleCloudFormatPropagator(), sampler=ProbabilitySampler(rate=0.5), ) with tracer.span(name='parent'): with tracer.span(name='child'): response = requests.get('http://localhost:5000') You can use a configuration file for Flask/Django/Pyramid. For more information, please read the `individual integration documentation <#integration>`_. .. code:: python 'OPENCENSUS': { 'TRACE': { 'BLACKLIST_HOSTNAMES': ['localhost', '127.0.0.1'], 'BLACKLIST_PATHS': ['_ah/health'], 'SAMPLER': 'opencensus.trace.samplers.ProbabilitySampler(rate=1)', 'EXPORTER': '''opencensus.ext.ocagent.trace_exporter.TraceExporter( service_name='foobar', )''', 'PROPAGATOR': 'opencensus.trace.propagation.google_cloud_format.GoogleCloudFormatPropagator()', } } ------------ Extensions ------------ Integration ----------- OpenCensus supports integration with popular web frameworks, client libraries and built-in libraries. - `Django`_ - `Flask`_ - `gevent`_ - `Google Cloud Client Libraries`_ - `gRPC`_ - `httplib`_ - `logging`_ - `MySQL`_ - `PostgreSQL`_ - `pymongo`_ - `PyMySQL`_ - `Pyramid`_ - `requests`_ - `SQLAlchemy`_ - `threading`_ Trace Exporter -------------- - `Azure`_ - `Jaeger`_ - `OCAgent`_ - `Stackdriver`_ - `Zipkin`_ Stats Exporter -------------- - `OCAgent`_ - `Prometheus`_ - `Stackdriver`_ .. _Azure: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-azure .. _Django: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-django .. _Flask: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-flask .. _gevent: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-gevent .. _Google Cloud Client Libraries: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-google-cloud-clientlibs .. _gRPC: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-grpc .. _httplib: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-httplib .. _Jaeger: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-jaeger .. _logging: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-logging .. _MySQL: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-mysql .. _OCAgent: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-ocagent .. _PostgreSQL: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-postgresql .. _Prometheus: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-prometheus .. _pymongo: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-pymongo .. _PyMySQL: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-pymysql .. _Pyramid: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-pyramid .. _requests: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-requests .. _SQLAlchemy: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-sqlalchemy .. _Stackdriver: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-stackdriver .. _threading: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-threading .. _Zipkin: https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-zipkin Log Exporter -------------- - `Azure`_ ------------ Versioning ------------ This library follows `Semantic Versioning`_. **GA**: Libraries defined at a GA quality level are stable, and will not introduce backwards-incompatible changes in any minor or patch releases. We will address issues and requests with the highest priority. If we were to make a backwards-incompatible changes on an API, we will first mark the existing API as deprecated and keep it for 18 months before removing it. **Beta**: Libraries defined at a Beta quality level are expected to be mostly stable and we're working towards their release candidate. We will address issues and requests with a higher priority. There may be backwards incompatible changes in a minor version release, though not in a patch release. If an element is part of an API that is only meant to be used by exporters or other opencensus libraries, then there is no deprecation period. Otherwise, we will deprecate it for 18 months before removing it, if possible. .. _Semantic Versioning: https://semver.org/