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Contributing to the Python extension for Visual Studio Code


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[Development build]


[For contributing to the Microsoft Python Language Server see its own repo; for Pylance see its own repo; for debugpy see its own repo]

Contributing a pull request

Prerequisites

  1. Node.js 12.15
  2. Python 2.7 or later
  3. Windows, macOS, or Linux
  4. Visual Studio Code
  5. The following VS Code extensions:
  6. Have an issue which has a "needs PR" label (feel free to indicate you would like to provide a PR for the issue so others don't work on it as well)

Setup

git clone https://github.com/microsoft/vscode-python
cd vscode-python
npm ci
python3 -m venv .venv
# Activate the virtual environment as appropriate for your shell, For example, on bash it's ...
source .venv/bin/activate
# The Python code in the extension is formatted using Black.
python3 -m pip install black
# Install Python dependencies using `python3`.
# If you want to use a different interpreter then specify it in the
# CI_PYTHON_PATH environment variable.
npx gulp installPythonLibs

If you see warnings that The engine "vscode" appears to be invalid., you can ignore these.

Incremental Build

Run the Compile and Hygiene build Tasks from the Run Build Task... command picker (short cut CTRL+SHIFT+B or ⇧⌘B). This will leave build and hygiene tasks running in the background and which will re-run as files are edited and saved. You can see the output from either task in the Terminal panel (use the selector to choose which output to look at).

You can also compile from the command-line. For a full compile you can use:

npx gulp prePublishNonBundle

For incremental builds you can use the following commands depending on your needs:

npm run compile
npm run compile-webviews-watch # For data science (React Code)

Sometimes you will need to run npm run clean and even rm -r out. This is especially true if you have added or removed files.

Errors and Warnings

TypeScript errors and warnings will be displayed in the Problems window of Visual Studio Code.

Run dev build and validate your changes

To test changes, open the vscode-python folder in VSCode, and select the workspace titled vscode-python. Then, open the debug panel by clicking the Run and Debug icon on the sidebar, select the Extension option from the top menu, and click start. A new window will launch with the title [Extension Development Host].

Running Unit Tests

Note: Unit tests are those in files with extension .unit.test.ts.

  1. Make sure you have compiled all code (done automatically when using incremental building)
  2. Ensure you have disabled breaking into 'Uncaught Exceptions' when running the Unit Tests
  3. For the linters and formatters tests to pass successfully, you will need to have those corresponding Python libraries installed locally
  4. Run the Tests via the Unit Tests launch option.

You can also run them from the command-line (after compiling):

npm run test:unittests  # runs all unit tests
npm run test:unittests -- --grep='<NAME-OF-SUITE>'

To run only a specific test suite for unit tests: Alter the launch.json file in the "Debug Unit Tests" section by setting the grep field:

    "args": [
        "--timeout=60000",
        "--grep", "<suite name>"
    ],

...this will only run the suite with the tests you care about during a test run (be sure to set the debugger to run the Debug Unit Tests launcher).

Running Functional Tests

Functional tests are those in files with extension .functional.test.ts. These tests are similar to system tests in scope, but are run like unit tests.

You can run functional tests in a similar way to that for unit tests:

  • via the "Functional Tests" launch option, or
  • on the command line via npm run test:functional

Running System Tests

Note: System tests are those in files with extension .test*.ts but which are neither .functional.test.ts nor .unit.test.ts.

  1. Make sure you have compiled all code (done automatically when using incremental building)
  2. Ensure you have disabled breaking into 'Uncaught Exceptions' when running the Unit Tests
  3. For the linters and formatters tests to pass successfully, you will need to have those corresponding Python libraries installed locally by using the ./requirements.txt and build/test-requirements.txt files
  4. Run the tests via npm run or the Debugger launch options (you can "Start Without Debugging").
  5. Note you will be running tests under the default Python interpreter for the system.

You can also run the tests from the command-line (after compiling):

npm run testSingleWorkspace  # will launch the VSC UI
npm run testMultiWorkspace  # will launch the VSC UI

Customising the Test Run

If you want to change which tests are run or which version of Python is used, you can do this by setting environment variables. The same variables work when running from the command line or launching from within VSCode, though the mechanism used to specify them changes a little.

  • Setting CI_PYTHON_PATH lets you change the version of python the tests are executed with
  • Setting VSC_PYTHON_CI_TEST_GREP lets you filter the tests by name

CI_PYTHON_PATH

In some tests a Python executable is actually run. The default executable is python (for now). Unless you've run the tests inside a virtual environment, this will almost always mean Python 2 is used, which probably isn't what you want.

By setting the CI_PYTHON_PATH environment variable you can control the exact Python executable that gets used. If the executable you specify isn't on $PATH then be sure to use an absolute path.

This is also the mechanism for testing against other versions of Python.

VSC_PYTHON_CI_TEST_GREP

This environment variable allows providing a regular expression which will be matched against suite and test "names" to be run. By default all tests are run.

For example, to run only the tests in the Sorting suite (from src/test/format/extension.sort.test.ts) you would set the value to Sorting. To run the ProcessService and ProcessService Observable tests which relate to stderr handling, you might use the value ProcessService.*stderr.

Be sure to escape any grep-sensitive characters in your suite name.

In some rare cases in the "system" tests the VSC_PYTHON_CI_TEST_GREP environment variable is ignored. If that happens then you will need to temporarily modify the const grep = line in src/test/index.ts.

Launching from VSCode

In order to set environment variables when launching the tests from VSCode you should edit the launch.json file. For example you can add the following to the appropriate configuration you want to run to change the interpreter used during testing:

    "env": {
        "CI_PYTHON_PATH": "/absolute/path/to/interpreter/of/choice/python"
    }

On the command line

The mechanism to set environment variables on the command line will vary based on your system, however most systems support a syntax like the following for setting a single variable for a subprocess:

VSC_PYTHON_CI_TEST_GREP=Sorting npm run testSingleWorkspace

Testing Python Scripts

The extension has a number of scripts in ./pythonFiles. Tests for these scripts are found in ./pythonFiles/tests. To run those tests:

  • python2.7 pythonFiles/tests/run_all.py
  • python3 -m pythonFiles.tests

By default, functional tests are included. To exclude them:

python3 -m pythonFiles.tests --no-functional

To run only the functional tests:

python3 -m pythonFiles.tests --functional

Standard Debugging

Clone the repo into any directory, open that directory in VSCode, and use the Extension launch option within VSCode.

Debugging the Python Extension Debugger

The easiest way to debug the Python Debugger (in our opinion) is to clone this git repo directory into your extensions directory. From there use the Extension + Debugger launch option.

Coding Standards

Information on our coding standards can be found here. We have CI tests to ensure the code committed will adhere to the above coding standards. *You can run this locally by executing the command npx gulp precommit or use the precommit Task.

Messages displayed to the user must be localized using/created constants from/in the localize.ts file.

Development process

To effectively contribute to this extension, it helps to know how its development process works. That way you know not only why the project maintainers do what they do to keep this project running smoothly, but it allows you to help out by noticing when a step is missed or to learn in case someday you become a project maintainer as well!

Helping others

First and foremost, we try to be helpful to users of the extension. We monitor Stack Overflow questions to see where people might need help. We also try to respond to all issues in some way in a timely manner (typically in less than one business day, definitely no more than a week). We also answer questions that reach us in other ways, e.g. Twitter.

For pull requests, we aim to review any externally contributed PR no later than the next sprint from when it was submitted (see Release Cycle below for our sprint schedule).

Release cycle

Planning is done as one week sprints. We start a sprint every Thursday. All P0 issues are expected to be fixed in the current sprint, else the next release will be blocked. P1 issues are a top-priority and we try to close before the next release. All other issues are considered best-effort for that sprint.

The extension aims to do a new release once a month. A release plan is created for each release to help track anything that requires a person to do (long-term this project aims to automate as much of the development process as possible).

All development is actively done in the master branch of the repository. This allows us to have a development build which is expected to be stable at all times. Once we reach a release candidate, it becomes our release branch. At that point only what is in the release branch will make it into the next release.

Issue triaging

Classifying issues

To help actively track what stage issues are at, various labels are used. The following label types are expected to be set on all open issues (otherwise the issue is not considered triaged):

  1. needs/triage/classify
  2. feature
  3. type

These labels cover what is blocking the issue from closing, what is affected by the issue, and what kind of issue it is. (The feature label should be feature-* if the issue doesn't fit into any other feature label appropriately.)

It is also very important to make the title accurate. People often write very brief, quick titles or ones that describe what they think the problem is. By updating the title to be appropriately descriptive for what you think the issue is, you not only make finding older issues easier, but you also help make sure that you and the original reporter agree on what the issue is.

Post-classification

Once an issue has been appropriately classified, there are two keys ways to help out. One is to go through open issues that have a merged fix and verify that the fix did in fact work. The other is to try to fix issues marked as needs PR.

Pull requests

Key details that all pull requests are expected to handle should be in the pull request template. We do expect CI to be passing for a pull request before we will consider merging it.

Versioning

Starting in 2018, the extension switched to calendar versioning since the extension auto-updates and thus there is no need to track its version number for backwards-compatibility. In 2020, the extension switched to having the the major version be the year of release, the minor version the release count for that year, and the build number is a number that increments for every build. For example the first release made in 2020 is 2020.1.<build number>.

Releasing

Overall steps for releasing are covered in the release plan (template).

Building a release

To create a release build, follow the steps outlined in the release plan (which has a template).

Local Build

Steps to build the extension on your machine once you've cloned the repo:

> npm install -g vsce
# Perform the next steps in the vscode-python folder.
> npm ci
> python3 -m pip --disable-pip-version-check install -t ./pythonFiles/lib/python --no-cache-dir --implementation py --no-deps --upgrade -r requirements.txt
# For python 3.6 and lower use this command to install the debugger
> python3 -m pip --disable-pip-version-check install -t ./pythonFiles/lib/python --no-cache-dir --implementation py --no-deps --upgrade --pre debugpy
# For python 3.7 and greater use this command to install the debugger
> python3 -m pip --disable-pip-version-check install -r build/debugger-install-requirements.txt
> python3 ./pythonFiles/install_debugpy.py
> npm run clean
> npm run package # This step takes around 10 minutes.

Resulting in a ms-python-insiders.vsix file in your vscode-python folder.

⚠️ If you made changes to package.json, run npm install (instead of npm ci) to update package-lock.json and install dependencies all at once.

Development Build

If you would like to use the latest version of the extension as committed to master that has passed our test suite, then you may set the "python.insidersChannel" setting to "daily" or "weekly" based on how often you would like the extension to check for updates.

You may also download and install the extension manually from the following location. Once you have downloaded the ms-python-insiders.vsix file, please follow the instructions on this page to install the extension. Do note that the manual install will not automatically update to newer builds unless you set the "python.insidersChannel" setting (it will get replaced with released versions from the Marketplace once they are newer than the version install manually).