Contributing¶
When contributing to this repository, we advise you to discuss the change you wish to make via an issue.
Branches¶
Development happens in the master branch. When all the features for the next milestone are merged, the next version is released and tagged on the master branch as vVERSION.
Your pull request should targets the master branch.
Once a new version is released, a release/VERSION branch might be created to support micro releases to VERSION. Patches should be cherry-picking from the master branch where possible — or otherwise created from scratch.
Pull Request Process¶
In order to be merged, a pull request needs to meet the following conditions:
The test suite must pass.
One of the repository Members must approve the pull request.
Proper unit and integration testing must be implemented.
Proper documentation must be written.
Splitting Pull Requests¶
If you discussed your feature within an issue (as advised), there’s a great chance that the implementation appears doable in several steps. In order to facilitate the review process, we strongly advise to split your feature implementation in small pull requests (if that is possible) so they contain a very small number of commits (a single commit per pull request being optimal).
That ensures that:
Each commit passes the test suite.
The code reviewing process done by humans is easier as there is less code to understand at a glance.
Internal API¶
The ddtrace.internal module contains code that must only be used inside ddtrace itself. Relying on the API of this module is dangerous and can break at anytime. Don’t do it.
Python Versions and Implementations Support¶
The following Python implementations are supported:
CPython
Versions of those implementations that are supported are the Python versions that are currently supported by the community.
Libraries Support¶
External libraries support is implemented in submodules of the ddtest.contrib module.
Our goal is to support:
The latest version of a library.
All versions of a library that have been released less than 1 year ago.
Support for older versions of a library will be kept as long as possible as long as it can be done without too much pain and backward compatibility — on a best effort basis. Therefore, support for old versions of a library might be dropped from the testing pipeline at anytime.