- Created 4 new API endpoints in anime.py: * /api/v1/anime/status - Get library status * /api/v1/anime/add - Add new series * /api/v1/anime/download - Download folders * /api/v1/anime/process/locks - Check process locks - Updated frontend API calls in app.js to use correct endpoints - Cleaned up instructions.md by removing completed tasks - Added comprehensive integration documentation All tests passing. Core user workflows (list, search, add, download) now fully functional.
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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.
📚 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
Unified Task Completion Checklist
This checklist ensures consistent, high-quality task execution across implementation, testing, debugging, documentation, and version control.
Core Tasks
12. Documentation and Error Handling
Pending Tasks
Missing API Endpoints
The following API endpoints are referenced in the frontend but not yet implemented:
- Scheduler API endpoints (
/api/scheduler/) - Configuration and manual triggers - Logging API endpoints (
/api/logging/) - Log file management and configuration - Diagnostics API endpoints (
/api/diagnostics/) - Network diagnostics - Config section endpoints (
/api/config/section/advanced,/api/config/directory, etc.) - May need verification
Integration Enhancements
[] Extend provider system
- [] Enhance
src/core/providers/for better web integration - [] Add provider health monitoring
- [] Implement provider failover mechanisms
- [] Include provider performance tracking
- [] Add dynamic provider configuration
[] Create plugin system
- [] Create
src/server/plugins/ - [] Add plugin loading and management
- [] Implement plugin API
- [] Include plugin configuration
- [] Add plugin security validation
[] Add external API integrations
- [] Create
src/server/integrations/ - [] Add anime database API connections
- [] Implement metadata enrichment services
- [] Include content recommendation systems
- [] Add external notification services
Testing
[] End-to-end testing
- [] Create
tests/e2e/ - [] Add full workflow testing
- [] Implement UI automation tests
- [] Include cross-browser testing
- [] Add mobile responsiveness testing
Deployment
[] Environment management
- [] Create environment-specific configurations
- [] Add secrets management
- [] Implement feature flags
- [] Include environment validation
- [] Add rollback mechanisms
Implementation Best Practices
Error Handling Patterns
# Custom exception hierarchy
class AniWorldException(Exception):
"""Base exception for AniWorld application"""
pass
class AuthenticationError(AniWorldException):
"""Authentication related errors"""
pass
class DownloadError(AniWorldException):
"""Download related errors"""
pass
# Service-level error handling
async def download_episode(episode_id: str) -> DownloadResult:
try:
result = await downloader.download(episode_id)
return result
except ProviderError as e:
logger.error(f"Provider error downloading {episode_id}: {e}")
raise DownloadError(f"Failed to download episode: {e}")
except Exception as e:
logger.exception(f"Unexpected error downloading {episode_id}")
raise DownloadError("Unexpected download error")
Logging Standards
import logging
import structlog
# Configure structured logging
structlog.configure(
processors=[
structlog.stdlib.add_log_level,
structlog.stdlib.add_logger_name,
structlog.processors.TimeStamper(fmt="iso"),
structlog.processors.JSONRenderer()
],
wrapper_class=structlog.stdlib.BoundLogger,
logger_factory=structlog.stdlib.LoggerFactory(),
cache_logger_on_first_use=True,
)
logger = structlog.get_logger(__name__)
# Usage examples
logger.info("Download started", episode_id=episode_id, user_id=user_id)
logger.error("Download failed", episode_id=episode_id, error=str(e))
API Response Patterns
from pydantic import BaseModel
from typing import Optional, List, Any
class APIResponse(BaseModel):
success: bool
message: Optional[str] = None
data: Optional[Any] = None
errors: Optional[List[str]] = None
class PaginatedResponse(APIResponse):
total: int
page: int
per_page: int
pages: int
# Usage in endpoints
@router.get("/anime", response_model=PaginatedResponse)
async def list_anime(page: int = 1, per_page: int = 20):
try:
anime_list, total = await anime_service.list_anime(page, per_page)
return PaginatedResponse(
success=True,
data=anime_list,
total=total,
page=page,
per_page=per_page,
pages=(total + per_page - 1) // per_page
)
except Exception as e:
logger.exception("Failed to list anime")
return APIResponse(
success=False,
message="Failed to retrieve anime list",
errors=[str(e)]
)
Dependency Injection Patterns
from fastapi import Depends
from typing import Annotated
# Service dependencies
def get_anime_service() -> AnimeService:
return AnimeService()
def get_download_service() -> DownloadService:
return DownloadService()
# Dependency annotations
AnimeServiceDep = Annotated[AnimeService, Depends(get_anime_service)]
DownloadServiceDep = Annotated[DownloadService, Depends(get_download_service)]
# Usage in endpoints
@router.post("/download")
async def start_download(
request: DownloadRequest,
download_service: DownloadServiceDep,
anime_service: AnimeServiceDep
):
# Implementation
pass
Final 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
- Changes committed to git
This comprehensive guide ensures a robust, maintainable, and scalable anime download management system with modern web capabilities.