Tool for releasing machine learning model and service projects and other fast paced python projects.
Project description
A Tool for releasing machine learning model and service projects and other fast paced python projects. The base module can also be used as a basis for a custom cli.
Bouillon contains; a) a project structure, b) a Command Line Interface (CLI) for releasing etc., that is easy to adapt and, c) a couple of modules that provides helper functionality if your writing your own cli.
The idea is that you together with your project ship a program that assist the developers to release the project, and other tedious tasks, helping you to;
Reduce time spent on repetetive tasks.
Guareentee a well defined development environement, reducing human error.
Simplify setup of CI/CD, as the same commands locally and remotely.
Getting Started
Will pip install packages (a venv is recommended):
pip install bouillon[standard] bouillon --help usage: bouillon [-h] [-i INFILE] [--log-level {DEBUG,INFO,WARNING,ERROR,CRITICIAL}] [--log-file LOG_FILE] [--dry-run] {build,clean,release} ... Bouillon positional arguments: {build,clean,release} available sub commands build build. clean clean temp files. release release me. options: -h, --help show this help message and exit -i INFILE, --infile INFILE path to input file (default: pyproject.toml) --log-level {DEBUG,INFO,WARNING,ERROR,CRITICIAL} set log level. (default: WARNING) --log-file LOG_FILE set log file. (default: None) --dry-run perform a dry run, its helpfull to also set the log-level. (default: False)
Print help for the release command:
bouillon release --help usage: bouillon release [-h] [--check-branch] [--releaseable-branch RELEASEABLE_BRANCH] [--distribution-dir DISTRIBUTION_DIR] [--news-files NEWS_FILES [NEWS_FILES ...]] [--build-steps BUILD_STEPS [BUILD_STEPS ...]] [--lint-steps LINT_STEPS [LINT_STEPS ...]] [--test-steps TEST_STEPS [TEST_STEPS ...]] version The following checks and actions will be performed: 1. Check that the choosen tag does not already exists. 2. Check that we are releasing from the default_branch. 3. Check that there are no unstaged changes on the current branch. 4. Cleans the distribution folder. 5. Run all linters. 6. Run tests. 7. Opens all news files for editing. 8. Add and commit all news files. 9. Creates the tag. 10. Build the project. 11. Uploads to pypi. 12. Push the commit and tag to the origin. Note that precedence of settings in decreasing order is as follows: commandline arguments -> project file (pyproject.toml) -> defaults. positional arguments: version release version (e.g. '1.2.3'). options: -h, --help show this help message and exit --check-branch check that the branch is clean and up to date with remote. (default: True) --releaseable-branch RELEASEABLE_BRANCH branches from which release is allowed ('*' for any branch) (default: main) --distribution-dir DISTRIBUTION_DIR distribution directory. (default: dist) --news-files NEWS_FILES [NEWS_FILES ...] news files to open for edits. (default: ['NEWS.rst']) --build-steps BUILD_STEPS [BUILD_STEPS ...] build steps. (default: [['python', '-m', 'build']]) --lint-steps LINT_STEPS [LINT_STEPS ...] lint steps. (default: [['brundle'], ['licensecheck']]) --test-steps TEST_STEPS [TEST_STEPS ...] test steps. (default: [['pytest']])
Usage:
bouillon release 0.0.1
Settings
The following settings (with defaults) can be overwritten in pyproject.toml:
[tool.bouillon] check_branch = true releaseable_branch = the git default branch distribution_dir = "dist" news_files = ["NEWS.rst",] build_steps = [["python", "-m", "build"],] lint_steps = [["brundle"],] test_steps = [["pytest"],]
Logging
Supports standard log levels; DEBUG, INFO, WARNING, ERROR, CRITICAL, and writing log to a file.
Set the log level to DEBUG:
bouillon --log-level=DEBUG test
Set the log level to DEBUG and redirect output from executed commands to bar.log:
bouillon --log-level=DEBUG test >> bar.log
Set the log level to DEBUG and redirect output from executed commands to bar.log and log information to foo.log:
bouillon --log-level=DEBUG --log-file=foo.log test >> bar.log
Set the log level to DEBUG and redirect output from executed commands and log information to foo.log:
bouillon --log-level=DEBUG --log-file=foo.log test >> foo.log
Customize CLI
The standard bouillon command relies on varios other tools, e.g. pytest, twine and various linters, if you want to use some other tools you can install the base dependencies only, install the tools you like and configure bouillon according or make you own cli altogheter.:
pip install bouillon
You can get the base cli by downloading this git repository, e.g.:
git clone git@github.com:janusheide/bouillon.git cd src/bouillon
Start A New Project
You can use this repository as a template, use repository as a template guide.
Alternatively a more manual approach could be something like the following, where new_project is a empty git repository.
Clone the repository and remove the history:
git clone git@github.com:janusheide/bouillon.git cd bouillon rm -rf .git
Copy the project structure into your existing (empty) git repository:
cp -r * ../new_project cd ../new_project/ git add . git commit -m 'Initial commit' git push
You should now have a project with the following structure, and should modify as indicated below:
├── LICENSE.txt (replace) ├── NEWS.rst (replace) ├── pyproject.toml (modify) ├── README.rst (replace) ├── src (replace) │ ├── bouillon │ │ ├── bouillon.py │ │ ├── cli.py (optinally copy and modify) │ │ ├── git.py │ │ └── __init__.py └── test (replace) └── bouillon ├── test_bouillon.py ├── test_cli.py └── test_git.py
At some point it might be convenient to fork this repository, make any changes you need and use that as your template repository.
Goals
The primary use is intended for, but not limited to, projects with frequently releases, e.g. ML models and services. The goal is to make it quick and easy to set up a new project with the basic testing and releasing functionality.
User Friendliness
Make the life of the user easier.
Use plain Python and modules that many are familiar with.
Quick and easy to setup and run repetitive tasks.
All tasks should be equally easy to rin locally as in a CI/CD environement.
Reproducibility
Results and builds should be easy to reproduce.
All dependencies must be hard (versioned).
The main branch should always be green.
Simplicity
Simplicity over features.
Components should be easy to replace.
Automation
Reduce maintenance, repetitive tasks, and human errors.
Easy to upgrade dependencies.
Use merge policies and triggered and scheduled events.
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