Feat/automate unified doc creation

[Matheus-OAMK]

This pull request introduces the initial setup for the Database Schema Spec Generator project, establishing a robust Python package structure, development tooling, and CI/CD workflows. The changes include a complete project scaffold with configuration management, command-line interface, core logic, and supporting documentation. Additionally, it sets up automated testing, linting, formatting, and type checking using modern Python tools.

Project Structure and Core Implementation:

• Introduced a modular Python package layout under database_schema_spec/ with clear separation of CLI, core logic, I/O, logging, schema resolution, and validation modules. The main orchestration is handled by the SchemaGenerator class, which coordinates schema extraction, conditional logic, validation, and output generation. [1] [2] [3] [4]
• Implemented robust configuration management using Pydantic models in core/config.py, supporting environment variable overrides and custom error handling for missing required configuration (notably BASE_URL).
• Defined custom exception classes for all major error conditions in the schema generation process, improving error reporting and maintainability.

Development Tooling and Automation:

• Added a comprehensive pre-commit configuration for dependency locking, linting, formatting, import sorting, and type checking using uv, ruff, and pyright.
• Established a reusable GitHub Actions workflow for CI, covering dependency installation, linting, formatting, type checking, and running tests on PRs and key branches.
• Created a composite GitHub Action for setting up Python and uv to standardize the development environment.

Documentation and Environment Configuration:

• Revamped the README.md to provide clear instructions for setup, running, development, and output expectations. Added detailed environment variable and configuration documentation.
• Added .env.example with documentation for the required BASE_URL configuration.
• Specified Python 3.13 as the required version in .python-version.

Miscellaneous:

• Added __init__.py files to ensure correct package discovery and testability.

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Most Important Changes:

1. Core Package and Application Logic

• Created a modular package structure in database_schema_spec/ with a central SchemaGenerator class to orchestrate schema extraction, resolution, conditional logic, validation, and output. [1] [2] [3] [4]
• Implemented configuration management using Pydantic in core/config.py, requiring a BASE_URL environment variable and supporting robust error handling for missing configuration.
• Added comprehensive custom exception classes for all major error scenarios in core/exceptions.py.

2. Development and CI Tooling

• Added .pre-commit-config.yaml to enable pre-commit hooks for dependency locking, linting, formatting, import sorting, and type checking.
• Established a reusable GitHub Actions CI workflow for dependency installation, linting, formatting, type checking, and testing.
• Added a composite GitHub Action for setting up Python and uv for consistent local and CI environments.

3. Documentation and Environment

• Overhauled README.md with detailed setup, usage, development, and output instructions.
• Added .env.example to document required environment variables, and .python-version to pin the Python version. [1] [2]

4. Miscellaneous

• Added __init__.py files to ensure package discovery and testability.

[Copilot]

Pull Request Overview

This PR introduces the initial setup for the Database Schema Spec Generator project, establishing a complete Python package structure with configuration management, CLI interface, core schema processing logic, and supporting development tooling. The changes create a robust foundation for generating unified JSON Schema documentation from modular database specifications.

Key Changes

• Complete project scaffold: Modular Python package with CLI, core logic modules for schema resolution, validation, and output management
• Configuration and environment management: Pydantic-based configuration with required BASE_URL environment variable and comprehensive error handling
• Development tooling and CI/CD: Pre-commit hooks, GitHub Actions workflows, and automated testing/linting setup using modern Python tools

Reviewed Changes

Copilot reviewed 47 out of 52 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
database_schema_spec/	Core package implementation with CLI, resolution, validation, and I/O modules
tests/	Comprehensive test suite with unit, integration, and production-quality tests
pyproject.toml	Project configuration with dependencies and development tooling setup
main.py	Application entry point
.github/	CI/CD workflows and reusable setup actions
Configuration files	Pre-commit hooks, environment examples, and Python version specification

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[Copilot]

The target-version should be 'py313' but the comment on line 59 says 'Assume Python 3.9'. This inconsistency should be corrected to match the actual Python version requirement.

Suggested change

	# Assume Python 3.9
	# Assume Python 3.13

[Copilot]

The comment mentions 'database properties' but the logic also handles direct property constraints. The comment should clarify that it handles both nested database properties and direct engine/version properties.

Suggested change

	# Look for database properties in the if condition
	# Check for both nested database properties and direct property constraints in the if condition

[RepoRover]

It seems that I have lost my ability to uderstand python after all... but as far as I'm concerned, the code works and very well! Code will prove itself in practice too.