Add CI/CD infrastructure, custom exceptions, test suite, and comprehensive documentation

[Copilot]

Implements foundational improvements to transform the tool into a production-ready, general-purpose Anki deck generator supporting multiple note types, YAML workflows, and future GUI/packaged distribution.

Infrastructure

• CI/CD: GitHub Actions workflows for lint/type-check/test (multi-OS) and PyPI releases
• Dev tooling: Pre-commit hooks, Makefile, pinned dependencies in pyproject.toml
• Security: Fixed workflow permissions (CodeQL clean)

Code Quality

Custom exceptions for domain-specific error handling:

raise ConfigValidationError("Invalid config", config_path="configs/model.yaml")
raise AnkiConnectError("Connection failed", action="importPackage")

Improved error handling with proper exception chaining:

except (ConfigValidationError, DataValidationError, DeckBuildError) as e:
    click.echo(f"Error: {e}", err=True)
    raise click.Abort() from e

• Python 3.8+ type hints throughout (list[str] instead of List[str])
• Google-style docstrings for all public APIs
• Ruff formatting/linting (all checks passing)

Testing

24 unit tests covering:

• builder.py: Stable ID generation, note creation, media handling
• connector.py: AnkiConnect API calls with mocked requests
• exceptions.py: Custom exception behavior

Documentation

README.md: Restructured with TOC, quick start, detailed usage examples, and project structure

ROADMAP.md: Expanded with:

• Vision for general-use tool (multiple note types, media support, validation)
• GUI development plans (PySide6/Tkinter/web-based evaluation)
• Distribution strategy (PyPI, standalone executables, Docker)
• Plugin architecture design

CONTRIBUTING.md: Dev environment setup, code standards, contribution workflow

Examples: Three working projects demonstrating different use cases:

• basic/: Simple flashcards
• language-learning/: Bidirectional vocabulary cards with pronunciation
• technical/: Code snippets with syntax highlighting theme

Stats

• 26 files changed: +2,351/-152
• 24/24 tests passing
• 0 security alerts
• All examples generate valid .apkg files

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Foundation ready for Phase 5: YAML validation (pydantic), multiple note types per deck, media auto-discovery, verbose logging.

Original prompt

Start implementation

[Chronological Review: The conversation began with a request to improve the README.md file for best practices and clear syntax. The user then initiated the implementation phase. Following that, the user requested a long task and feature list based on the project's current state, including improvements to copilot-instructions.md and the use of requirements.txt and GitHub actions. The user continued to request implementation. The user then asked to edit the roadmap to make the app more general use, allowing for multiple note types and YAML input, and to plan for GUI compatibility and packaged releases. The user repeatedly requested to start implementation, indicating a focus on executing these tasks.]

[Intent Mapping:

1. "Improve the #file:README.md to plan everything to use the best practices, clear syntax, etc." - User wants to enhance documentation.
2. "Start implementation" - User is eager to begin coding.
3. "Make an extremely long task and feature list based on the current state of the project." - User seeks a comprehensive overview of tasks.
4. "Edit the roadmap to make this app much more general use..." - User wants to broaden the app's functionality and compatibility.]

[Technical Inventory:

• README.md: Documentation file to be improved.
• copilot-instructions.md: Instructions for GitHub Copilot to be enhanced.
• requirements.txt: File for managing project dependencies.
• GitHub Actions: CI/CD tool to be integrated.
• YAML: Data serialization format to be supported in the app.
• GUI: Graphical User Interface to be developed for user interaction.]

[Code Archaeology:

• README.md: Needs updates for clarity and best practices.
• copilot-instructions.md: Requires edits to improve guidance for Copilot.
• Roadmap: Needs modifications to include new features and compatibility plans.]

[Progress Assessment:

• Completed Tasks: Initial requests for improvements and task lists initiated.
• Partially Complete Work: Implementation requests have been made but not yet executed.]

[Context Validation: All necessary context for continuing work on documentation, task lists, and roadmap edits is captured.]

[Recent Commands Analysis:

• Last Agent Commands: "Start implementation" was executed multiple times.
• Tool Results Summary: No specific tool results were returned as the commands were focused on initiating tasks rather than executing specific tools.
• Pre-Summary State: The agent was actively working on implementing user requests related to documentation and feature enhancements when the token budget was exceeded.
• Operation Context: The commands were executed to align with the user's goals of improving project documentation and expanding the app's functionality.]

1. Conversation Overview: - Primary Objectives: - "Improve the #file:README.md to plan everything to use the best practices, clear syntax, etc." - "Make an extremely long task and feature list based on the current state of the project." - "Edit the roadmap to make this app much more general use..." - Session Context: The conversation has focused on enhancing documentation, creating task lists, and expanding the app's functionality. - User Intent Evolution: The user has consistently requested to start implementation, indicating a desire to move from planning to execution.

2. Technical Foundation:

• README.md: Documentation file to be improved for clarity and best practices.
• copilot-instructions.md: Instructions for GitHub Copilot that need enhancement.
• requirements.txt: File for managing project dependencies to be created.
• GitHub Actions: CI/CD tool to be integrated into the project.
• YAML: Data format to be supported for user input.
• GUI: Development of a graphical user interface for the application.

3. Codebase Status:

• README.md:
  • Purpose: Important for project documentation.
  • Current State: Needs improvements for best practices.
• copilot-instructions.md:
  • Purpose: Provides guidance for using GitHub Copilot.
  • Current State: Requires edits for clarity and effectiveness.
• Roadmap:
  • Purpose: To outline future development and features.
  • Current State: Needs updates to include general use features and GUI compatibility.

4. Problem Resolution:

• Issues Encountered: None explicitly mentioned, but the need for documentation and feature expansion indicates areas for improvement.
• Solutions Implemented: Requests for improvements and task lists initiated.
• Debugging Context: No ongoing troubleshooting efforts noted.
• Lessons Learned: Importance of clear documentation and feature planning.

5. Progress Tracking:

• Completed Tasks: Initial requests for documentation improvements and task lists.
• Partially Complete Work: Implementation requests have been made but not executed yet.

6. Active Work State:

• Current Focus: The user is focused on implementing documentation improvements and feature expansions.
• Recent Context: The user has repeatedly requested ...

Creado a partir de VS Code.

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💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.