- Modified BackgroundLoaderService to use multiple workers (default: 5) - Anime additions now process in parallel without blocking - Added comprehensive unit tests for concurrent behavior - Updated integration tests for compatibility - Updated architecture documentation
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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.
<EFBFBD> Credentials
Admin Login:
- Username:
admin - Password:
Hallo123!
<EFBFBD>📚 Helpful Commands
# 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
- Incremental Development: Implement features incrementally, testing each component thoroughly before moving to the next
- Code Review: Review all generated code for adherence to project standards
- Documentation: Document all public APIs and complex logic
- Testing: Maintain test coverage above 80% for all new code
- Performance: Profile and optimize critical paths, especially download and streaming operations
- Security: Regular security audits and dependency updates
- Monitoring: Implement comprehensive monitoring and alerting
- 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:
Completed ✅
- Fast adding - Concurrent Anime Processing (Completed 2026-01-24)
- What was done:
- Modified
BackgroundLoaderServiceto support concurrent processing with multiple workers - Added configurable
max_concurrent_loadsparameter (default: 5) - Multiple anime can now be added and processed in parallel without blocking
- Created comprehensive unit tests verifying concurrent behavior
- Updated integration tests for compatibility
- Updated architecture documentation
- Modified
- Result: Multiple anime additions now process simultaneously. Users can add second anime immediately while first is still loading.
- Tests:
tests/unit/test_parallel_anime_add.py, integration tests updated - Files Changed:
src/server/services/background_loader_service.pytests/unit/test_parallel_anime_add.py(new)tests/integration/test_async_series_loading.py(updated)docs/architecture/async_loading_architecture.md(updated)
- What was done:
In Progress 🔄
(No active tasks)
Planned 📋
(No planned tasks)