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Contributing to opentelemetry-python-contrib

The Python special interest group (SIG) meets regularly. See the OpenTelemetry community repo for information on this and other language SIGs.

See the public meeting notes for a summary description of past meetings. To request edit access, join the meeting or get in touch on Slack.

See to the community membership document on how to become a Member, Approver and Maintainer.

Find a Buddy and get Started Quickly!

If you are looking for someone to help you find a starting point and be a resource for your first contribution, join our Slack and find a buddy!

  1. Join Slack and join our chat room.
  2. Post in the room with an introduction to yourself, what area you are interested in (check issues marked "Help Wanted"), and say you are looking for a buddy. We will match you with someone who has experience in that area.

Your OpenTelemetry buddy is your resource to talk to directly on all aspects of contributing to OpenTelemetry: providing context, reviewing PRs, and helping those get merged. Buddies will not be available 24/7, but is committed to responding during their normal contribution hours.

Development

This project uses tox to automate some aspects of development, including testing against multiple Python versions. To install tox, run:

$ pip install tox==3.27.1

You can run tox with the following arguments:

  • tox to run all existing tox commands, including unit tests for all packages under multiple Python versions
  • tox -e docs to regenerate the API docs
  • tox -e py37-test-instrumentation-aiopg to e.g. run the aiopg instrumentation unit tests under a specific Python version
  • tox -e spellcheck to run a spellcheck on all the code
  • tox -e lint to run lint checks on all code

black and isort are executed when tox -e lint is run. The reported errors can be tedious to fix manually. An easier way to do so is:

  1. Run .tox/lint/bin/black .
  2. Run .tox/lint/bin/isort .

See tox.ini for more detail on available tox commands.

Benchmarks

Performance progression of benchmarks for packages distributed by OpenTelemetry Python can be viewed as a graph of throughput vs commit history. From the linked page, you can download a JSON file with the performance results.

Running the tox tests also runs the performance tests if any are available. Benchmarking tests are done with pytest-benchmark and they output a table with results to the console.

To write benchmarks, simply use the pytest benchmark fixture like the following:

def test_simple_start_span(benchmark):
    def benchmark_start_as_current_span(span_name, attribute_num):
        span = tracer.start_span(
            span_name,
            attributes={"count": attribute_num},
        )
        span.end()

    benchmark(benchmark_start_as_current_span, "benchmarkedSpan", 42)

Make sure the test file is under the tests/performance/benchmarks/ folder of the package it is benchmarking and further has a path that corresponds to the file in the package it is testing. Make sure that the file name begins with test_benchmark_. (e.g. propagator/opentelemetry-propagator-aws-xray/tests/performance/benchmarks/trace/propagation/test_benchmark_aws_xray_propagator.py)

Pull Requests

How to Send Pull Requests

Everyone is welcome to contribute code to opentelemetry-python-contrib via GitHub pull requests (PRs).

To create a new PR, fork the project in GitHub and clone the upstream repo:

$ git clone https://github.com/open-telemetry/opentelemetry-python-contrib.git

Add your fork as an origin:

$ git remote add fork https://github.com/YOUR_GITHUB_USERNAME/opentelemetry-python-contrib.git

Run tests:

# make sure you have all supported versions of Python installed
$ pip install tox==3.27.1  # only first time.
$ tox  # execute in the root of the repository

Check out a new branch, make modifications and push the branch to your fork:

$ git checkout -b feature
# edit files
$ git commit
$ git push fork feature

Open a pull request against the main opentelemetry-python-contrib repo.

How to Receive Comments

  • If the PR is not ready for review, please put [WIP] in the title, tag it as work-in-progress, or mark it as draft.
  • Make sure CLA is signed and CI is clear.

How to Get PRs Reviewed

The maintainers and approvers of this repo are not experts in every instrumentation there is here. In fact each one of us knows enough about them to only review a few. Unfortunately it can be hard to find enough experts in every instrumentation to quickly review every instrumentation PR. The instrumentation experts are listed in .github/component_owners.yml with their corresponding files or directories that they own. The owners listed there will be notified when PRs that modify their files are opened.

If you are not getting reviews, please contact the respective owners directly.

How to Get PRs Merged

A PR is considered to be ready to merge when:

  • It has received two approvals from Approvers / Maintainers (at different companies).
  • Major feedbacks are resolved.
  • It has been open for review for at least one working day. This gives people reasonable time to review.
  • Trivial change (typo, cosmetic, doc, etc.) doesn't have to wait for one day.
  • Urgent fix can take exception as long as it has been actively communicated.
  • A changelog entry is added to the corresponding changelog for the code base, if there is any impact on behavior. e.g. doc entries are not required, but small bug entries are.

Any Approver / Maintainer can merge the PR once it is ready to merge.

Design Choices

As with other OpenTelemetry clients, opentelemetry-python follows the opentelemetry-specification.

It's especially valuable to read through the library guidelines.

Focus on Capabilities, Not Structure Compliance

OpenTelemetry is an evolving specification, one where the desires and use cases are clear, but the method to satisfy those uses cases are not.

As such, contributions should provide functionality and behavior that conforms to the specification, but the interface and structure is flexible.

It is preferable to have contributions follow the idioms of the language rather than conform to specific API names or argument patterns in the spec.

For a deeper discussion, see: open-telemetry/opentelemetry-specification#165

Running Tests Locally

  1. Go to your Contrib repo directory. git clone git@github.com:open-telemetry/opentelemetry-python-contrib.git && cd opentelemetry-python-contrib.
  2. Make sure you have tox installed. pip install tox==3.27.1.
  3. Run tox without any arguments to run tests for all the packages. Read more about tox.

Testing against a different Core repo branch/commit

Some of the tox targets install packages from the OpenTelemetry Python Core Repository via pip. The version of the packages installed defaults to the main branch in that repository when tox is run locally. It is possible to install packages tagged with a specific git commit hash by setting an environment variable before running tox as per the following example:

CORE_REPO_SHA=c49ad57bfe35cfc69bfa863d74058ca9bec55fc3 tox

The continuation integration overrides that environment variable with as per the configuration here.

Style Guide

Guideline for instrumentations

Below is a checklist of things to be mindful of when implementing a new instrumentation or working on a specific instrumentation. It is one of our goals as a community to keep the implementation specific details of instrumentations as similar across the board as possible for ease of testing and feature parity. It is also good to abstract as much common functionality as possible.

Expectations from contributors

OpenTelemetry is an open source community, and as such, greatly encourages contributions from anyone interested in the project. With that being said, there is a certain level of expectation from contributors even after a pull request is merged, specifically pertaining to instrumentations. The OpenTelemetry Python community expects contributors to maintain a level of support and interest in the instrumentations they contribute. This is to ensure that the instrumentation does not become stale and still functions the way the original contributor intended. Some instrumentations also pertain to libraries that the current members of the community are not so familiar with, so it is necessary to rely on the expertise of the original contributing parties.