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Set up Sphinx Documentation Infrastructure

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#60 0 comentarios 0 reacciones 1 asignado Ver en GitHub

@erikrose ya está trabajando en esto.

Desde el 8/4/2026.

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Descripción

Overview

Set up Sphinx-based documentation infrastructure for the Fastly Compute Python SDK, enabling auto-generated API documentation from docstrings. This issue focuses on getting docs to generate consistently - hosting location and styling are out of scope.

Goals

  1. Configure Sphinx with autodoc - Generate API docs from code
  2. Standardize docstring format - Convert all docstrings to Sphinx RST style (:param:, :returns:, :raises:)
  3. Build infrastructure - Add make docs and CI validation
  4. Fix inconsistencies - Some modules use Google style (Args:), others use RST style

Out of Scope:

  • Documentation hosting platform (Read the Docs, GitHub Pages, etc.)
  • Documentation styling/theming
  • Hosting deployment configuration

Current State

Inconsistent docstring formats:

  • config_store.py, erl.py - Use Sphinx RST style (:param:, :raises:, Example::)
  • requests/__init__.py - Uses Google style (Args:, Raises:, Note:)
  • ❌ Test files - Mixed styles

RST format example (preferred):

def get(self, key: str, default: str | None = None) -> str | None:
    """Get a configuration value.

    :param key: The configuration key
    :param default: Default value if key not found
    :return: Configuration value or default if not found
    :raises ~fastly_compute.exceptions.types.error.InvalidArgument: If the key is invalid

    Example::

        config = ConfigStore.open("app-config")
        api_url = config.get("api_url", "https://api.example.com")
    """

Tasks

  1. Sphinx Setup

    • Install Sphinx and autodoc extension
    • Create docs/ directory with conf.py, index.rst
    • Configure autodoc to generate API reference from fastly_compute/ modules
    • Add intersphinx for cross-references to Python stdlib
  2. Standardize Docstrings

    • Convert requests/ module docstrings from Google style to RST style
    • Audit all other modules for consistency
    • Update any remaining Google-style docstrings to RST format
    • Use full exception paths in :raises: (e.g., ~fastly_compute.exceptions.types.error.InvalidArgument)
  3. Build Process

    • Add make docs target to build HTML documentation
    • Configure Sphinx to fail on warnings (ensure all docstrings are valid RST)
    • Add CI check to validate docs build successfully
  4. Documentation Standards Guide

    • Document the RST format convention in contributing guide
    • Provide examples for common patterns (module docstrings, class docstrings, method docstrings)
    • Reference config_store.py and erl.py as canonical examples

Acceptance Criteria

  • Sphinx generates HTML documentation without warnings
  • All modules use consistent RST docstring format
  • make docs builds complete API reference
  • CI validates documentation builds successfully
  • Contributing guide documents RST format requirements

Cross-SDK Comparison: Rust uses rustdoc, Go uses godoc, JS uses JSDoc/TypeScript. Python ecosystem standard is Sphinx with RST docstrings, which integrates well with IDEs and type checkers.

Reference

Lenguaje dominante
Python
Estrellas
5
Forks
1
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