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Mosheh

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PyPI

Mosheh, a tool for creating docs for projects, from Python to Python.

Basically, Mosheh lists all files you points to, saves every single notorious statement of definition on each file iterated, all using Python ast native module for handling the AST and then generating with MkDocs and Material MkDocs a documentation respecting the dirs and files hierarchy. The stuff documented for each file are listed below:

  • Imports [ast.Import | ast.ImportFrom]

  • Type [Native | TrdParty | Local]

  • Path (e.g. 'django.http')
  • Code

  • Constants [ast.Assign | ast.AnnAssign]

  • Name (token name)

  • Typing Notation (datatype)
  • Value (literal or call)
  • Code

  • Classes [ast.ClassDef]

  • Description (docstring)

  • Name (class name)
  • Parents (inheritance)
  • Methods Defined (nums and names)
  • Example (usage)
  • Code

  • Funcs [ast.FunctionDef | ast.AsyncFunctionDef]

  • Description (docstring)

  • Name (func name)
  • Type [Func | Method | Generator | Coroutine]
  • Parameters (name, type, default)
  • Return Type (datatype)
  • Raises (exception throw)
  • Example (usage)
  • Code

  • Assertions [ast.Assert]

  • Test (assertion by itself)

  • Message (opt. message in fail case)
  • Code

Stack

Python

uv Ruff Material for MkDocs

GitHub GitHub Pages GitHub Actions

ToDo List

  • Evaluate use of Rust for better proccessing
  • Evaluate the processing of more files than just Python ones (e.g. .txt, .toml)
  • Migrate dependency system to use uv
  • Process 25% of Python AST's nodes on mosheh.handler
  • Process 50% of Python AST's nodes on mosheh.handler
  • Process 75% of Python AST's nodes on mosheh.handler
  • Process 100% of Python AST's nodes on mosheh.handler
  • Accept structured file (e.g. mosheh.json) as parameters replacement
  • Provide an "exclude" config for files/dirs to ignore
  • Insert tags for .md based on their names/contexts
  • Get and list all metrics of above's statements featured
  • Check for files docstrings and write below filepath
  • Create detail page for classes with docstring and listing class constants and methods
  • Create detail page for functions with docstring and body detail

Arch

Mosheh's architecture can be interpreted in two ways: the directory structure and the interaction of the elements that make it up. A considerable part of a project is - or at least should be - that elements that are dispensable for its functionality are in fact dispensable, such as the existence of automated tests; they are important so that any existing quality process is kept to a minimum acceptable level, but if all the tests are deleted, the tool still works.

Here it is no different, a considerable part of Mosheh is, in fact, completely dispensable; follow below the structure of directories and relevant files that are part of this project:

Bash
.
├── mosheh                      # Mosheh's source-code
   ├── codebase.py             # Codebase reading logic
   ├── constants.py            # Constants to be evaluated
   ├── custom_types.py         # Custom data types
   ├── doc.py                  # Documentation build logic
   ├── handlers.py             # Codebase nodes handlers functions
   ├── main.py                 # Entrypoint
   ├── metadata.py             # Metadata about Mosheh itself
   └── utils.py                # Utilities
├── tests                       # Template dir for testing
   ├── DOC                     # Doc output dir
   ├── PROJECT                 # Template project dir
   └── unittest                # Automated tests
├── documentation               # Mosheh's documentation dir
   ├── docs                    # Dir containing .md files and assets
   └── mkdocs.yml              # MkDocs config file
├── pyproject.toml              # Mosheh's config file for almost everything
├── uv.lock                     # uv's lockfile for dealing with dependencies
├── .python-version             # Default Python's version to use
├── .github                     # Workflows and social stuff
├── LICENSE                     # Legal stuff, A.K.A donut sue me
└── .gitignore                  # Git "exclude" file

It is to be expected that if the tests/ directory is deleted, Mosheh itself will not be altered in any way, so much so that when a tool is downloaded via pip or similar, the tool is not accompanied by tests, licenses, development configuration files or workflows. So, to help you understand how the mosheh/ directory works, here's how the functional elements interact with each other:

Flowchart diagram

Usage

Local Build and Installation

Installing Dependencies

Bash
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pip install uv  # For installing uv to handle the environment

uv sync  # Automatically creates a .venv, activates it and install libs based on uv.lock and pyproject.toml

Runing Locally

Bash
uv run -m mosheh.main  # For running using uv and dealing with Mosheh as a module

Installing Locally

Bash
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uv build  # Build pip-like file

uv pip install dist/mosheh-<VERSION>-py3-none-any.whl --force-reinstall  # Install Mosheh using generated pip-like file

Testing

Bash
uv run pytest  # Run pytest

Parameters

Call Type Mandatory Default Example Description
-h, --help str Optional None -h, --help Help message
-root Path Required None -root example/ Root dir, where the analysis starts.
--repo-name str Optional 'GitHub' --repo-name toicin Name of the code repository to be mapped.
--repo-url URL Optional 'https://github.com/' --repo-url https://random.com URL of the code repository to be mapped.
--edit-uri str Optional 'blob/main/documentation/docs' --edit-uri blob/main/docs URI to view raw or edit blob file.
--logo-path Path Optional None --repo-url .github/logo.svg Path for doc/project logo, same Material MkDocs's formats.
--readme-path Path Optional None --repo-url .github/README.md Path for README.md file to used as homepage.
--verbose int Optional 3 - logging.INFO --verbose 4 Verbosity level, from 0 (quiet/critical) to 4 (overshare/debug).
--output Path Optional '.' - current dir --output doc/ Path for documentation output, where to be created.

License

This project is under MIT License. A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code.