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app_skellington CLI framework

Project description

app_skellington

Application framework for Python, features include:

  • Pain-free multi-level command menu: Expose public class methods as commands available to user.
  • Simple to define services and automatic dependency injection based on name (with custom invocation as an option). *WIP
  • INI-style config and and validation (provided through ConfigObj).
  • Colored logging (provided through colorlog)
  • Works on Linux, Windows, and Mac.

Principles:

  • Lend to creating beautiful, easy to read and understand code in the application.
  • Minimize coupling of applications to this framework.
  • Compatible with Linux, Windows, and Mac. Try to be compatible as possible otherwise.
  • Try to be compatible with alternate Python runtimes such as PyPy and older python environments. *WIP

PyPi Hosted Link

https://pypi.org/project/app-skellington/

Application Configuration

Site configurations are supported through ConfigObj. There is a config.spec in the src directory which is a validation file; it contains the accepted parameter names, types, and limits for configurable options in the application which is built on app_skellington. The format is multi-level .ini syntax.

Reference the ConfigObj documentation for config.ini and config.spec format. See:

Config files (config.ini) are created if they don't exist. The file always contains the full specification of parameters; i.e. even default parameters are added into the config file.

Linux:

  • /home/<user>/.config/<app_name>/config.ini
  • /home/<user>/.cache/<app_name>/log/<app_name>.log

Windows:

  • C:\Users\<user>\<app_name>\Local\<app_name>\config.ini
  • C:\Users\<user>\<app_name>\Local\<app_name>\Logs\<app_name>.log

Application configuration can be overridden ad-hoc through the --config argument.

Debug - Turn on Logging

Set 'APPSKELLINGTON_ENABLE_LOGGING' environment variable to any value which turns on AppSkellington-level logging. For example,

APPSKELLINGTON_DEBUG=1 <executable>

or

export APPSKELLINGTON_DEBUG=1
<executable>

Tests

Tests are a WIP. Recommendation is to run 'pytest' in the 'tests' directory.

Development

I recommend pyenv to install a reliable, controlled python of preferred version locally.

curl https://pyenv.run | bash

# Add to .bashrc or similar for different shells:
tee -a "$HOME"/.profile <<'EOF'

export PYENV_ROOT="$HOME/.pyenv"
[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
eval "$(pyenv init -)"

EOF

Clone the repo:

git clone https://git-repos.zavage.net/zavage-software/app_skellington.git

Install pre-commit hooks:

pre-commit install

Build:

python -m build

Install:

pip install .

Formatting and Linters:

black app_skellington
isort app_skellington
flake8 app_skellington

Publish:

# Push latest commit, or on commit ready to publish:
git push

# Create a tag with the desired version number and push:
git tag -a v0.2.0 -m "0.2.0 provides modern pyproject.toml build with setuptools, versioning, and publishing"
git push origin v0.2.0

# Build the wheel:
python -m build

# Publish to pypi:
twine check dist/*
twine upload dist/*

Version

setuptools_scm will infer the version based on the latest tag in your Git history. Ensure you are tagging your commits with meaningful version numbers like v1.0.0, v1.1.0, etc.

You can view the current version number with the command:

python -m setuptools_scm

License

MIT no attribution required - https://opensource.org/license/mit-0

  • Allows commercial use.
  • Allows modifications and closed-source derivatives.
  • Fully interoperable with nearly all other open-source licenses, including GPL (when combined properly).

See Also

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