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.
Install the opencensus package using pip or pipenv:
pip install opencensus pipenv install opencensus
Initialize a tracer for your application:
from opencensus.trace import tracer as tracer_module tracer = tracer_module.Tracer()
Initialize a view_manager and a stats_recorder for your application:
from opencensus.stats import stats as stats_module stats = stats_module.stats view_manager = stats.view_manager stats_recorder = stats.stats_recorder
You can collect traces using the Tracer
context manager:
from opencensus.trace import tracer as tracer_module
# Initialize a tracer, by default using the `PrintExporter`
tracer = tracer_module.Tracer()
# 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:
from opencensus.trace import tracer as tracer_module
# Initialize a tracer, by default using the `PrintExporter`
tracer = tracer_module.Tracer()
tracer.start_span(name='span1')
do_something_to_trace()
tracer.end_span()
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
andLoggingExporter
, the other exporters are provided as extensions. - Sampler, which determines how traces are sampled.
The default sampler is
AlwaysOnSampler
, other samplers include theAlwaysOffSampler
andProbabilitySampler
. - Propagator, which serializes and deserializes the
SpanContext
and its headers. The default propagator isTraceContextPropagator
, other propagators includeBinaryFormatPropagator
,GoogleCloudFormatPropagator
andTextFormatPropagator
.
You can customize while initializing a tracer.
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 probability
config_integration.trace_integrations(['httplib'])
tracer = tracer_module.Tracer(
exporter=file_exporter.FileExporter(file_name='traces'),
propagator=google_cloud_format.GoogleCloudFormatPropagator(),
sampler=probability.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.
'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()',
}
}
OpenCensus supports integration with popular web frameworks, client libraries and built-in libraries.
- Django
- Flask
- Google Cloud Client Libraries
- gRPC
- httplib
- MySQL
- PostgreSQL
- pymongo
- PyMySQL
- Pyramid
- requests
- SQLAlchemy
- threading
Contributions to this library are always welcome and highly encouraged.
See CONTRIBUTING for more information on how to get started.
cd trace tox -e py34 source .tox/py34/bin/activate # Install nox with pip pip install nox-automation # See what's available in the nox suite nox -l # Run a single nox command nox -s "unit(py='2.7')" # Run all the nox commands nox # Integration test # We don't have script for integration test yet, but can test as below. python setup.py bdist_wheel cd dist pip install opencensus-0.0.1-py2.py3-none-any.whl # Then just run the tracers normally as you want to test.
Apache 2.0 - See LICENSE for more information.
This is not an official Google product.