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Contributing to opentelemetry-python

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 your right repo

This is the main repo for OpenTelemetry Python. Nevertheless, there are other repos that are related to this project. Please take a look at this list first, your contributions may belong in one of these repos better:

  1. OpenTelemetry Contrib: Instrumentations for third-party libraries and frameworks. There is an ongoing effort to migrate into the OpenTelemetry Contrib repo some of the existing programmatic instrumentations that are now in the ext directory in the main OpenTelemetry repo. Please ask in the Slack channel (see below) for guidance if you want to contribute with these instrumentations.

Find the right branch

The default branch for this repo is main. Changes that pertain to metrics go into the metrics branch. Any changes that pertain to components marked as stable in the specifications or anything that is not metrics related go into this branch.

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 channel.
  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.

The Slack channel will be used for introductions and an entry point for external people to be triaged and redirected. For discussions, please open up an issue or a Github Discussion.

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

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 opentelemetry-api and tox -e opentelemetry-sdk to run the API and SDK unit tests
  • tox -e py37-opentelemetry-api to e.g. run the API 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 .

We try to keep the amount of public symbols in our code minimal. A public symbol is any Python identifier that does not start with an underscore. Every public symbol is something that has to be kept in order to maintain backwards compatibility, so we try to have as few as possible.

To check if your PR is adding public symbols, run tox -e public-symbols-check. This will always fail if public symbols are being added. The idea behind this is that every PR that adds public symbols fails in CI, forcing reviewers to check the symbols to make sure they are strictly necessary. If after checking them, it is considered that they are indeed necessary, the PR will be labeled with Skip Public API check so that this check is not run.

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

Contrib repo

Some of the tox targets install packages from the OpenTelemetry Python Contrib 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:

CONTRIB_REPO_SHA=dde62cebffe519c35875af6d06fae053b3be65ec tox

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

Benchmarks

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. opentelemetry-sdk/tests/performance/benchmarks/trace/propagation/test_benchmark_b3_format.py)

Pull Requests

How to Send Pull Requests

Everyone is welcome to contribute code to opentelemetry-python 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.git

Add your fork as an origin:

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

Run tests:

# make sure you have all supported versions of Python installed
$ pip install tox  # 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 repo.

Pull requests are also tested for their compatibility with packages distributed by OpenTelemetry in the OpenTelemetry Python Contrib Repository.

If a pull request (PR) introduces a change that would break the compatibility of these packages with the Core packages in this repo, a separate PR should be opened in the Contrib repo with changes to make the packages compatible.

Follow these steps:

  1. Open Core repo PR (Contrib Tests will fail)
  2. Open Contrib repo PR and modify its CORE_REPO_SHA in .github/workflows/test.yml to equal the commit SHA of the Core repo PR to pass tests
  3. Modify the Core repo PR CONTRIB_REPO_SHA in .github/workflows/test.yml to equal the commit SHA of the Contrib repo PR to pass Contrib repo tests (a sanity check for the Maintainers & Approvers)
  4. Merge the Contrib repo
  5. Restore the Core repo PR CONTRIB_REPO_SHA to point to main
  6. Merge the Core repo PR

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 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.
  • All tests are passing, including Contrib Repo tests which may require updating the GitHub workflow to reference a PR in the Contrib repo
  • 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.

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

Environment Variables

If you are adding a component that introduces new OpenTelemetry environment variables, put them all in a module, as it is done in opentelemetry.environment_variables or in opentelemetry.sdk.environment_variables.

Keep in mind that any new environment variable must be declared in all caps and must start with OTEL_PYTHON_.

Register this module with the opentelemetry_environment_variables entry point to make your environment variables automatically load as options for the opentelemetry-instrument command.

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