COM utilities for Python

Package with various utilities to support COM object development with Python based on PyWin32

Features

Set of submodules contains:

• base module with abstract base class definition for Python COM object classes
• submodule with a logger mixin class for Python COM object classes
• submodule with various check routines for own-defined Python COM object classes
• submodule with helpful decorators for own-defined Python COM object classes
• submodule for TypeLib generation (used within module to check Python COM object classes)

Note: as I am coming from camel case notation I was struggling a little bit with the Python naming conventions. However, for publishing I tried to increase compliance with Python naming conventions and added snake case method stubs (at least for most important subroutines) as a compromise.

Development

To set up hatch and pre-commit for the first time:

1. install hatch globally, e.g. with pipx, i.e. pipx install hatch,
2. make sure pre-commit is installed globally, e.g. with pipx install pre-commit.

A special feature that makes hatch very different from other familiar tools is that you almost never activate, or enter, an environment. Instead, you use hatch run env_name:command and the default environment is assumed for a command if there is no colon found. Thus you must always define your environment in a declarative way and hatch makes sure that the environment reflects your declaration by updating it whenever you issue a hatch run .... This helps with reproducability and avoids forgetting to specify dependencies since the hatch workflow is to specify everything directly in pyproject.toml. Only in rare cases, you will use hatch shell to enter the default environment, which is similar to what you may know from other tools.

To get you started, use hatch run test:cov or hatch run test:no-cov to run the unitest with or without coverage reports, respectively. Use hatch run lint:all to run all kinds of typing and linting checks. Try to automatically fix linting problems with hatch run lint:fix and use hatch run docs:serve to build and serve your documentation. You can also easily define your own environments and commands. Check out the environment setup of hatch in pyproject.toml for more commands as well as the package, build and tool configuration.

To support versioning and changelog generation please refer to the toolchain selected during package generation (see also pyproject.toml). If not deselected, the toolchain includes a pre-commit hook for linting commit messages to ensure commit messages are compliant with the conventional commit format and support an automated changelog generation.

Credits

This package was created with The Hatchlor Enhanced project template. This template is based on The Hatchlor but was substantially improved.