Files
Aniworld/docs/instructions.md
Lukas db1e7fa54b Fix NFO database query errors
- Fixed async context manager issue in anime.py (use get_sync_session)
- Fixed async methods in anime_service.py to use async with
- Fixed folder_name attribute error (should be folder)
- All three methods now properly handle database sessions
2026-01-18 11:56:22 +01:00

142 lines
5.1 KiB
Markdown

# Aniworld Web Application Development Instructions
This document provides detailed tasks for AI agents to implement a modern web application for the Aniworld anime download manager. All tasks should follow the coding guidelines specified in the project's copilot instructions.
## Project Overview
The goal is to create a FastAPI-based web application that provides a modern interface for the existing Aniworld anime download functionality. The core anime logic should remain in `SeriesApp.py` while the web layer provides REST API endpoints and a responsive UI.
## Architecture Principles
- **Single Responsibility**: Each file/class has one clear purpose
- **Dependency Injection**: Use FastAPI's dependency system
- **Clean Separation**: Web layer calls core logic, never the reverse
- **File Size Limit**: Maximum 500 lines per file
- **Type Hints**: Use comprehensive type annotations
- **Error Handling**: Proper exception handling and logging
## Additional Implementation Guidelines
### Code Style and Standards
- **Type Hints**: Use comprehensive type annotations throughout all modules
- **Docstrings**: Follow PEP 257 for function and class documentation
- **Error Handling**: Implement custom exception classes with meaningful messages
- **Logging**: Use structured logging with appropriate log levels
- **Security**: Validate all inputs and sanitize outputs
- **Performance**: Use async/await patterns for I/O operations
## 📞 Escalation
If you encounter:
- Architecture issues requiring design decisions
- Tests that conflict with documented requirements
- Breaking changes needed
- Unclear requirements or expectations
**Document the issue and escalate rather than guessing.**
---
## 📚 Helpful Commands
```bash
# Run all tests
conda run -n AniWorld python -m pytest tests/ -v --tb=short
# Run specific test file
conda run -n AniWorld python -m pytest tests/unit/test_websocket_service.py -v
# Run specific test class
conda run -n AniWorld python -m pytest tests/unit/test_websocket_service.py::TestWebSocketService -v
# Run specific test
conda run -n AniWorld python -m pytest tests/unit/test_websocket_service.py::TestWebSocketService::test_broadcast_download_progress -v
# Run with extra verbosity
conda run -n AniWorld python -m pytest tests/ -vv
# Run with full traceback
conda run -n AniWorld python -m pytest tests/ -v --tb=long
# Run and stop at first failure
conda run -n AniWorld python -m pytest tests/ -v -x
# Run tests matching pattern
conda run -n AniWorld python -m pytest tests/ -v -k "auth"
# Show all print statements
conda run -n AniWorld python -m pytest tests/ -v -s
#Run app
conda run -n AniWorld python -m uvicorn src.server.fastapi_app:app --host 127.0.0.1 --port 8000 --reload
```
---
## Implementation Notes
1. **Incremental Development**: Implement features incrementally, testing each component thoroughly before moving to the next
2. **Code Review**: Review all generated code for adherence to project standards
3. **Documentation**: Document all public APIs and complex logic
4. **Testing**: Maintain test coverage above 80% for all new code
5. **Performance**: Profile and optimize critical paths, especially download and streaming operations
6. **Security**: Regular security audits and dependency updates
7. **Monitoring**: Implement comprehensive monitoring and alerting
8. **Maintenance**: Plan for regular maintenance and updates
---
## Task Completion Checklist
For each task completed:
- [ ] Implementation follows coding standards
- [ ] Unit tests written and passing
- [ ] Integration tests passing
- [ ] Documentation updated
- [ ] Error handling implemented
- [ ] Logging added
- [ ] Security considerations addressed
- [ ] Performance validated
- [ ] Code reviewed
- [ ] Task marked as complete in instructions.md
- [ ] Infrastructure.md updated and other docs
- [ ] Changes committed to git; keep your messages in git short and clear
- [ ] Take the next task
---
## TODO List:
All tasks completed! The NFO database query issue has been resolved.
## Recently Fixed Issues:
### ✅ Fixed: NFO Database Query Error (2026-01-18)
**Issue:** WARNING: Could not fetch NFO data from database: '\_AsyncGeneratorContextManager' object has no attribute 'query'
**Root Cause:**
1. Synchronous code in `anime.py` was calling `get_db_session()` which returns an async context manager, but wasn't using `async with`.
2. Async methods in `anime_service.py` were calling `get_db_session()` without using `async with`.
3. Incorrect attribute name: used `folder_name` instead of `folder`.
**Solution:**
1. Changed `anime.py` line ~323 to use `get_sync_session()` instead of `get_db_session()` for synchronous database access.
2. Updated three async methods in `anime_service.py` to properly use `async with get_db_session()`:
- `update_nfo_status()`
- `get_series_without_nfo()`
- `get_nfo_statistics()`
3. Fixed attribute name from `db_series.folder_name` to `db_series.folder` in `anime.py`.
**Files Modified:**
- [src/server/api/anime.py](../src/server/api/anime.py)
- [src/server/services/anime_service.py](../src/server/services/anime_service.py)
**Verification:** Server now starts without warnings, and NFO metadata can be fetched from the database correctly.