release branch |
master branch |
Nightly CI | coverage (master branch) |
---|---|---|---|
[For contributing to the Microsoft Python Language Server see its own repo; for debugpy see its own repo]
- Node.js 12.15
- Python 2.7 or later
- Windows, macOS, or Linux
- Visual Studio Code
- The following VS Code extensions:
- 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)
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.
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.
TypeScript errors and warnings will be displayed in the Problems
window of Visual Studio Code.
To test changes, open the vscode-python
folder in VSCode, and select the workspace titled vscode
.
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]
.
Note: Unit tests are those in files with extension .unit.test.ts
.
- Make sure you have compiled all code (done automatically when using incremental building)
- Ensure you have disabled breaking into 'Uncaught Exceptions' when running the Unit Tests
- For the linters and formatters tests to pass successfully, you will need to have those corresponding Python libraries installed locally
- 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).
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
Note: System tests are those in files with extension .test*.ts
but which are neither .functional.test.ts
nor .unit.test.ts
.
- Make sure you have compiled all code (done automatically when using incremental building)
- Ensure you have disabled breaking into 'Uncaught Exceptions' when running the Unit Tests
- 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
andbuild/test-requirements.txt
files - Run the tests via
npm run
or the Debugger launch options (you can "Start Without Debugging"). - 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
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
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
Clone the repo into any directory, open that directory in VSCode, and use the Extension
launch option within VSCode.
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.
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.
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!
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).
Planning is done as two week sprints. We start a sprint every other Wednesday. You can look at the newest milestone to see when the current sprint ends. 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 every four weeks (two sprints). 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.
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):
needs
/triage
/classify
feature
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.
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
.
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.
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>
.
Overall steps for releasing are covered in the release plan (template).
To create a release build, follow the steps outlined in the release plan (which has a template).
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.
package.json
, run npm install
(instead of npm ci
) to update package-lock.json
and install dependencies all at once.
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).