Simplify requests for code review with an all-in-one TUI dashboard providing an overview of open PRs requiring review!
If you want to get up and running with Reviews, you will first first need to create a personal access token. To create a Personal Access Token with the required permissions for reviews, you can generate a new token (classic)
and enable the following full scopes for the following:
repo
admin:org
Note: Whilst reviews only requires read only access, providing only
public_repo
andread:org
permissions is insufficent as it does encompass all types of read-only access for repositories.
To start using reviews, you can run the following:
export GITHUB_USER="your-github-username"
export GITHUB_TOKEN="your personal GitHub token used for interacting with the API"
export REVIEWS_GITHUB_REPOSITORY_CONFIGURATION="apoclyps/reviews"
pip install --upgrade reviews
reviews config --show
reviews dashboard
If you wish to view the configuration used by reviews at any time, you can use the following command to show all configuration (with secrets hidden or shown):
reviews config --hide
reviews config --show
If you wish to use reviews
with Gitlab, you will need to specify the configuration like so: product id:project name/repository
and use the --provider=gitlab
flag when running reviews
:
export GITLAB_USER=user
export GITLAB_TOKEN=token
export REVIEWS_GITLAB_REPOSITORY_CONFIGURATION="27629846:apoclyps/reviews"
reviews dashboard --provider=gitlab
To build and run the CLI on your host, you will need Python 3.9, pip, and virtualenv to build and run review
.
If you wish to publish a PR with your changes, first create a fork on Github and clone that code.
$ gh repo clone apoclyps/reviews
$ cd reviews
$ python3 -m venv env
$ source env/bin/activate
(env)$ pip install -r requirements_dev.txt
(env)$ pip install -r requirements.txt
(env)$ python -m reviews dashboard
If you wish to keep a copy of Reviews on your host system, you can install and run it using:
$ export REVIEWS_GITHUB_REPOSITORY_CONFIGURATION="apoclyps/reviews"
$ python -m venv env
$ source env/bin/activate
$ python -m pip install -e .
$ reviews -h
You can run the Reviews within Docker:
docker-compose build cli && docker-compose run --rm cli python -m reviews dashboard
To build an image and run that image with all of the necessary dependencies using the following commands:
$ docker-compose build cli
$ docker-compose run --rm cli python -m reviews dashboard
For instructions on setting up a development environment outside of Docker, check out the wiki.
Reviews supports both .ini and .env files. Reviews always searches for configuration in this order:
- Environment variables;
- Repository: ini or .env file;
- Configuration Path
- Review Defaults
The following steps are used to provide the configuration using a .env
or .ini
file. The configuration can be read from within the module/repository (default location set by decouple) using the .env
file or via a location specified by an environmental variable that points to a .ini
file located in the root of the project or in a location specified by PATH_TO_CONFIG
.
cd /home/<your-user>/workspace/apoclyps/reviews
touch .env
echo "REVIEWS_REPOSITORY_CONFIGURATION=apoclyps/micropython-by-example" >> .env
python -m reviews config
cd /home/<your-user>/workspace/apoclyps/reviews
touch settings.ini
echo "[settings]\nREVIEWS_REPOSITORY_CONFIGURATION=apoclyps/micropython-by-example" >> settings.ini
python -m reviews config
If you wish to set the configuration path to use an ini
or .env
file when running the application, you can use the configuration of a specific file by supplying the path to the configuration like so:
cd /home/apoclyps/
touch settings.ini
echo "[settings]\nREVIEWS_REPOSITORY_CONFIGURATION=apoclyps/micropython-by-example" >> settings.ini
cd /home/<your-user>/workspace/apoclyps/reviews
export REVIEWS_PATH_TO_CONFIG=/home/<your-user>/
python -m reviews config
If at any time, you want to confirm your configuration reflects the file you have provided, you can use reviews config
to view what current configuration of Reviews.
A test suite has been included to ensure Reviews functions correctly.
To run the entire test suite with verbose output, run the following:
$ pytest -vvv
Alternatively, to run a single set of tests.
$ pytest -vvv tests/test_config.py
All tests can be run within docker by using the following command:
$ docker-compose build pytest && docker-compose run --rm pytest
To run individual linting steps:
docker-compose build test
docker-compose run --rm --no-deps test isort .
docker-compose run --rm --no-deps test black --line-length 119 --check .
docker-compose run --rm --no-deps test mypy .
docker-compose run --rm --no-deps test flake8 .
docker-compose run --rm --no-deps test pylint --rcfile=.pylintrc reviews
docker-compose run --rm --no-deps test bandit reviews
docker-compose run --rm --no-deps test vulture --min-confidence 90 reviews
docker-compose run --rm --no-deps test codespell reviews
docker-compose run --rm --no-deps test find . -name '*.py' -exec pyupgrade {} +
You can also set up pre-commit
to run the linting steps automatically during the commit phase,
the pre-commit pipeline can be set up by running the following command on the project root:
pre-commit install
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.