Lukas
6a6ae7e059
- Add missing src/server/api/__init__.py to enable analytics module import - Integrate analytics router into FastAPI app - Fix analytics endpoints to use proper dependency injection with get_db_session - Update auth service test to match actual password validation error messages - Fix backup service test by adding delays between backup creations for unique timestamps - Fix dependencies tests by providing required Request parameters to rate_limit and log_request - Fix log manager tests: set old file timestamps, correct export path expectations, add delays - Fix monitoring service tests: correct async mock setup for database scalars() method - Fix SeriesApp tests: update all loader method mocks to use lowercase names (search, download, scan) - Update test mocks to use correct method names matching implementation All 701 tests now passing with 0 failures.
862 lines
26 KiB
Markdown
862 lines
26 KiB
Markdown
# Error Handling Validation Report
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Complete validation of error handling implementation across the Aniworld API.
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**Generated**: October 23, 2025
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**Status**: ✅ COMPREHENSIVE ERROR HANDLING IMPLEMENTED
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---
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## Table of Contents
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1. [Executive Summary](#executive-summary)
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2. [Exception Hierarchy](#exception-hierarchy)
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3. [Middleware Error Handling](#middleware-error-handling)
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4. [API Endpoint Error Handling](#api-endpoint-error-handling)
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5. [Response Format Consistency](#response-format-consistency)
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6. [Logging Standards](#logging-standards)
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7. [Validation Summary](#validation-summary)
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8. [Recommendations](#recommendations)
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---
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## Executive Summary
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The Aniworld API demonstrates **excellent error handling implementation** with:
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✅ **Custom exception hierarchy** with proper HTTP status code mapping
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✅ **Centralized error handling middleware** for consistent responses
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✅ **Comprehensive exception handling** in all API endpoints
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✅ **Structured logging** with appropriate log levels
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✅ **Input validation** with meaningful error messages
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✅ **Type hints and docstrings** throughout codebase
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### Key Strengths
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1. **Well-designed exception hierarchy** (`src/server/exceptions/__init__.py`)
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2. **Global exception handlers** registered in middleware
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3. **Consistent error response format** across all endpoints
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4. **Proper HTTP status codes** for different error scenarios
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5. **Defensive programming** with try-catch blocks
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6. **Custom error details** for debugging and troubleshooting
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### Areas for Enhancement
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1. Request ID tracking for distributed tracing
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2. Error rate monitoring and alerting
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3. Structured error logs for aggregation
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4. Client-friendly error messages in some endpoints
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---
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## Exception Hierarchy
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### Base Exception Class
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**Location**: `src/server/exceptions/__init__.py`
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```python
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class AniWorldAPIException(Exception):
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"""Base exception for Aniworld API."""
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def __init__(
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self,
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message: str,
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status_code: int = 500,
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error_code: Optional[str] = None,
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details: Optional[Dict[str, Any]] = None,
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):
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self.message = message
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self.status_code = status_code
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self.error_code = error_code or self.__class__.__name__
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self.details = details or {}
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super().__init__(self.message)
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def to_dict(self) -> Dict[str, Any]:
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"""Convert exception to dictionary for JSON response."""
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return {
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"error": self.error_code,
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"message": self.message,
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"details": self.details,
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}
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```
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### Custom Exception Classes
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| Exception Class | Status Code | Error Code | Usage |
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| --------------------- | ----------- | ----------------------- | ------------------------- |
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| `AuthenticationError` | 401 | `AUTHENTICATION_ERROR` | Failed authentication |
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| `AuthorizationError` | 403 | `AUTHORIZATION_ERROR` | Insufficient permissions |
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| `ValidationError` | 422 | `VALIDATION_ERROR` | Request validation failed |
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| `NotFoundError` | 404 | `NOT_FOUND` | Resource not found |
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| `ConflictError` | 409 | `CONFLICT` | Resource conflict |
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| `RateLimitError` | 429 | `RATE_LIMIT_EXCEEDED` | Rate limit exceeded |
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| `ServerError` | 500 | `INTERNAL_SERVER_ERROR` | Unexpected server error |
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| `DownloadError` | 500 | `DOWNLOAD_ERROR` | Download operation failed |
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| `ConfigurationError` | 500 | `CONFIGURATION_ERROR` | Configuration error |
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| `ProviderError` | 500 | `PROVIDER_ERROR` | Provider error |
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| `DatabaseError` | 500 | `DATABASE_ERROR` | Database operation failed |
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**Status**: ✅ Complete and well-structured
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---
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## Middleware Error Handling
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### Global Exception Handlers
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**Location**: `src/server/middleware/error_handler.py`
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The application registers global exception handlers for all custom exception classes:
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```python
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def register_exception_handlers(app: FastAPI) -> None:
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"""Register all exception handlers with FastAPI app."""
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@app.exception_handler(AuthenticationError)
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async def authentication_error_handler(
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request: Request, exc: AuthenticationError
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) -> JSONResponse:
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"""Handle authentication errors (401)."""
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logger.warning(
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f"Authentication error: {exc.message}",
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extra={"details": exc.details, "path": str(request.url.path)},
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)
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return JSONResponse(
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status_code=exc.status_code,
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content=create_error_response(
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status_code=exc.status_code,
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error=exc.error_code,
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message=exc.message,
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details=exc.details,
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request_id=getattr(request.state, "request_id", None),
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),
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)
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# ... similar handlers for all exception types
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```
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### Error Response Format
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All errors return a consistent JSON structure:
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```json
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{
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"success": false,
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"error": "ERROR_CODE",
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"message": "Human-readable error message",
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"details": {
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"field": "specific_field",
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"reason": "error_reason"
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},
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"request_id": "uuid-request-identifier"
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}
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```
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**Status**: ✅ Comprehensive and consistent
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---
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## API Endpoint Error Handling
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### Authentication Endpoints (`/api/auth`)
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**File**: `src/server/api/auth.py`
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#### ✅ Error Handling Strengths
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- **Setup endpoint**: Checks if master password already configured
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- **Login endpoint**: Handles lockout errors (429) and authentication failures (401)
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- **Proper exception mapping**: `LockedOutError` → 429, `AuthError` → 400
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- **Token validation**: Graceful handling of invalid tokens
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```python
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@router.post("/login", response_model=LoginResponse)
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def login(req: LoginRequest):
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"""Validate master password and return JWT token."""
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identifier = "global"
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try:
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valid = auth_service.validate_master_password(
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req.password, identifier=identifier
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)
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except LockedOutError as e:
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raise HTTPException(
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status_code=http_status.HTTP_429_TOO_MANY_REQUESTS,
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detail=str(e),
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) from e
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except AuthError as e:
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raise HTTPException(status_code=400, detail=str(e)) from e
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if not valid:
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raise HTTPException(status_code=401, detail="Invalid credentials")
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```
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#### Recommendations
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- ✓ Add structured logging for failed login attempts
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- ✓ Include request_id in error responses
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- ✓ Consider adding more detailed error messages for debugging
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---
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### Anime Endpoints (`/api/v1/anime`)
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**File**: `src/server/api/anime.py`
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#### ✅ Error Handling Strengths
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- **Comprehensive try-catch blocks** around all operations
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- **Re-raising HTTPExceptions** to preserve status codes
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- **Generic 500 errors** for unexpected failures
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- **Input validation** with Pydantic models and custom validators
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```python
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@router.get("/", response_model=List[AnimeSummary])
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async def list_anime(
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_auth: dict = Depends(require_auth),
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series_app: Any = Depends(get_series_app),
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) -> List[AnimeSummary]:
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"""List library series that still have missing episodes."""
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try:
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series = series_app.List.GetMissingEpisode()
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summaries: List[AnimeSummary] = []
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# ... processing logic
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return summaries
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except HTTPException:
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raise # Preserve status code
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except Exception as exc:
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail="Failed to retrieve anime list",
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) from exc
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```
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#### ✅ Advanced Input Validation
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The search endpoint includes comprehensive input validation:
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```python
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class SearchRequest(BaseModel):
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"""Request model for anime search with validation."""
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query: str
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@field_validator("query")
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@classmethod
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def validate_query(cls, v: str) -> str:
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"""Validate and sanitize search query."""
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if not v or not v.strip():
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raise ValueError("Search query cannot be empty")
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# Limit query length to prevent abuse
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if len(v) > 200:
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raise ValueError("Search query too long (max 200 characters)")
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# Strip and normalize whitespace
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normalized = " ".join(v.strip().split())
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# Prevent SQL-like injection patterns
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dangerous_patterns = [
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"--", "/*", "*/", "xp_", "sp_", "exec", "execute"
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]
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lower_query = normalized.lower()
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for pattern in dangerous_patterns:
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if pattern in lower_query:
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raise ValueError(f"Invalid character sequence: {pattern}")
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return normalized
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```
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**Status**: ✅ Excellent validation and security
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---
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### Download Queue Endpoints (`/api/queue`)
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**File**: `src/server/api/download.py`
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#### ✅ Error Handling Strengths
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- **Comprehensive error handling** in all endpoints
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- **Custom service exceptions** (`DownloadServiceError`)
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- **Input validation** for queue operations
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- **Detailed error messages** with context
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```python
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@router.post("/add", status_code=status.HTTP_201_CREATED)
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async def add_to_queue(
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request: DownloadRequest,
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_: dict = Depends(require_auth),
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download_service: DownloadService = Depends(get_download_service),
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):
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"""Add episodes to the download queue."""
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try:
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# Validate request
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if not request.episodes:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="At least one episode must be specified",
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)
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# Add to queue
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added_ids = await download_service.add_to_queue(
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serie_id=request.serie_id,
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serie_name=request.serie_name,
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episodes=request.episodes,
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priority=request.priority,
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)
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return {
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"status": "success",
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"message": f"Added {len(added_ids)} episode(s) to download queue",
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"added_items": added_ids,
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}
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except DownloadServiceError as e:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=str(e),
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) from e
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except Exception as e:
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to add episodes to queue: {str(e)}",
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) from e
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```
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**Status**: ✅ Robust error handling
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---
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### Configuration Endpoints (`/api/config`)
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**File**: `src/server/api/config.py`
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#### ✅ Error Handling Strengths
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- **Service-specific exceptions** (`ConfigServiceError`, `ConfigValidationError`, `ConfigBackupError`)
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- **Proper status code mapping** (400 for validation, 404 for missing backups, 500 for service errors)
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- **Detailed error context** in exception messages
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```python
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@router.put("", response_model=AppConfig)
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def update_config(
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update: ConfigUpdate, auth: dict = Depends(require_auth)
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) -> AppConfig:
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"""Apply an update to the configuration and persist it."""
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try:
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config_service = get_config_service()
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return config_service.update_config(update)
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except ConfigValidationError as e:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"Invalid configuration: {e}"
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) from e
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except ConfigServiceError as e:
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to update config: {e}"
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) from e
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```
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**Status**: ✅ Excellent separation of validation and service errors
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---
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### Health Check Endpoints (`/health`)
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**File**: `src/server/api/health.py`
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#### ✅ Error Handling Strengths
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- **Graceful degradation** - returns partial health status even if some checks fail
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- **Detailed error logging** for diagnostic purposes
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- **Structured health responses** with status indicators
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- **No exceptions thrown to client** - health checks always return 200
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```python
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async def check_database_health(db: AsyncSession) -> DatabaseHealth:
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"""Check database connection and performance."""
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try:
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import time
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start_time = time.time()
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await db.execute(text("SELECT 1"))
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connection_time = (time.time() - start_time) * 1000
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return DatabaseHealth(
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status="healthy",
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connection_time_ms=connection_time,
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message="Database connection successful",
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)
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except Exception as e:
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logger.error(f"Database health check failed: {e}")
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return DatabaseHealth(
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status="unhealthy",
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connection_time_ms=0,
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message=f"Database connection failed: {str(e)}",
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)
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```
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**Status**: ✅ Excellent resilience for monitoring endpoints
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---
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### WebSocket Endpoints (`/ws`)
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**File**: `src/server/api/websocket.py`
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#### ✅ Error Handling Strengths
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- **Connection error handling** with proper disconnect cleanup
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- **Message parsing errors** sent back to client
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- **Structured error messages** via WebSocket protocol
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- **Comprehensive logging** for debugging
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```python
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@router.websocket("/connect")
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async def websocket_endpoint(
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websocket: WebSocket,
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ws_service: WebSocketService = Depends(get_websocket_service),
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user_id: Optional[str] = Depends(get_current_user_optional),
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):
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"""WebSocket endpoint for client connections."""
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connection_id = str(uuid.uuid4())
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try:
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await ws_service.connect(websocket, connection_id, user_id=user_id)
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# ... connection handling
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while True:
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try:
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data = await websocket.receive_json()
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try:
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client_msg = ClientMessage(**data)
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except Exception as e:
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logger.warning(
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"Invalid client message format",
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connection_id=connection_id,
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error=str(e),
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)
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await ws_service.send_error(
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connection_id,
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"Invalid message format",
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"INVALID_MESSAGE",
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)
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continue
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# ... message handling
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except WebSocketDisconnect:
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logger.info("Client disconnected", connection_id=connection_id)
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break
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except Exception as e:
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logger.error(
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"Error processing WebSocket message",
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connection_id=connection_id,
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error=str(e),
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)
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await ws_service.send_error(
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connection_id,
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"Internal server error",
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"INTERNAL_ERROR",
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)
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finally:
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await ws_service.disconnect(connection_id)
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logger.info("WebSocket connection closed", connection_id=connection_id)
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```
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**Status**: ✅ Excellent WebSocket error handling with proper cleanup
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---
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### Analytics Endpoints (`/api/analytics`)
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**File**: `src/server/api/analytics.py`
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#### ⚠️ Error Handling Observations
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- ✅ Pydantic models for response validation
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- ⚠️ **Missing explicit error handling** in some endpoints
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- ⚠️ Database session handling could be improved
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#### Recommendation
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Add try-catch blocks to all analytics endpoints:
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```python
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@router.get("/downloads", response_model=DownloadStatsResponse)
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async def get_download_statistics(
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days: int = 30,
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db: AsyncSession = None,
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) -> DownloadStatsResponse:
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"""Get download statistics for specified period."""
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try:
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if db is None:
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db = await get_db().__anext__()
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service = get_analytics_service()
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stats = await service.get_download_stats(db, days=days)
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return DownloadStatsResponse(
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total_downloads=stats.total_downloads,
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successful_downloads=stats.successful_downloads,
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# ... rest of response
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)
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except Exception as e:
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logger.error(f"Failed to get download statistics: {e}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to retrieve download statistics: {str(e)}",
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) from e
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```
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**Status**: ⚠️ Needs enhancement
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---
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### Backup Endpoints (`/api/backup`)
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**File**: `src/server/api/backup.py`
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|
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#### ✅ Error Handling Strengths
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|
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- **Custom exception handling** in create_backup endpoint
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- **ValueError handling** for invalid backup types
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- **Comprehensive logging** for all operations
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#### ⚠️ Observations
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Some endpoints may not have explicit error handling:
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|
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```python
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@router.post("/create", response_model=BackupResponse)
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async def create_backup(
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request: BackupCreateRequest,
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backup_service: BackupService = Depends(get_backup_service_dep),
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) -> BackupResponse:
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"""Create a new backup."""
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try:
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backup_info = None
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|
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if request.backup_type == "config":
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backup_info = backup_service.backup_configuration(
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request.description or ""
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)
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elif request.backup_type == "database":
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backup_info = backup_service.backup_database(
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request.description or ""
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)
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elif request.backup_type == "full":
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backup_info = backup_service.backup_full(
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request.description or ""
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)
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else:
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raise ValueError(f"Invalid backup type: {request.backup_type}")
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# ... rest of logic
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except ValueError as e:
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raise HTTPException(
|
|
status_code=status.HTTP_400_BAD_REQUEST,
|
|
detail=str(e),
|
|
) from e
|
|
except Exception as e:
|
|
logger.error(f"Backup creation failed: {e}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=f"Failed to create backup: {str(e)}",
|
|
) from e
|
|
```
|
|
|
|
**Status**: ✅ Good error handling with minor improvements possible
|
|
|
|
---
|
|
|
|
### Maintenance Endpoints (`/api/maintenance`)
|
|
|
|
**File**: `src/server/api/maintenance.py`
|
|
|
|
#### ✅ Error Handling Strengths
|
|
|
|
- **Comprehensive try-catch blocks** in all endpoints
|
|
- **Detailed error logging** for troubleshooting
|
|
- **Proper HTTP status codes** (500 for failures)
|
|
- **Graceful degradation** where possible
|
|
|
|
```python
|
|
@router.post("/cleanup")
|
|
async def cleanup_temporary_files(
|
|
max_age_days: int = 30,
|
|
system_utils=Depends(get_system_utils),
|
|
) -> Dict[str, Any]:
|
|
"""Clean up temporary and old files."""
|
|
try:
|
|
deleted_logs = system_utils.cleanup_directory(
|
|
"logs", "*.log", max_age_days
|
|
)
|
|
deleted_temp = system_utils.cleanup_directory(
|
|
"Temp", "*", max_age_days
|
|
)
|
|
deleted_dirs = system_utils.cleanup_empty_directories("logs")
|
|
|
|
return {
|
|
"success": True,
|
|
"deleted_logs": deleted_logs,
|
|
"deleted_temp_files": deleted_temp,
|
|
"deleted_empty_dirs": deleted_dirs,
|
|
"total_deleted": deleted_logs + deleted_temp + deleted_dirs,
|
|
}
|
|
except Exception as e:
|
|
logger.error(f"Cleanup failed: {e}")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
```
|
|
|
|
**Status**: ✅ Excellent error handling
|
|
|
|
---
|
|
|
|
## Response Format Consistency
|
|
|
|
### Current Response Formats
|
|
|
|
The API uses **multiple response formats** depending on the endpoint:
|
|
|
|
#### Format 1: Success/Data Pattern (Most Common)
|
|
|
|
```json
|
|
{
|
|
"success": true,
|
|
"data": { ... },
|
|
"message": "Optional message"
|
|
}
|
|
```
|
|
|
|
#### Format 2: Status/Message Pattern
|
|
|
|
```json
|
|
{
|
|
"status": "ok",
|
|
"message": "Operation completed"
|
|
}
|
|
```
|
|
|
|
#### Format 3: Direct Data Return
|
|
|
|
```json
|
|
{
|
|
"field1": "value1",
|
|
"field2": "value2"
|
|
}
|
|
```
|
|
|
|
#### Format 4: Error Response (Standardized)
|
|
|
|
```json
|
|
{
|
|
"success": false,
|
|
"error": "ERROR_CODE",
|
|
"message": "Human-readable message",
|
|
"details": { ... },
|
|
"request_id": "uuid"
|
|
}
|
|
```
|
|
|
|
### ⚠️ Consistency Recommendation
|
|
|
|
While error responses are highly consistent (Format 4), **success responses vary** between formats 1, 2, and 3.
|
|
|
|
#### Recommended Standard Format
|
|
|
|
```json
|
|
// Success
|
|
{
|
|
"success": true,
|
|
"data": { ... },
|
|
"message": "Optional success message"
|
|
}
|
|
|
|
// Error
|
|
{
|
|
"success": false,
|
|
"error": "ERROR_CODE",
|
|
"message": "Error description",
|
|
"details": { ... },
|
|
"request_id": "uuid"
|
|
}
|
|
```
|
|
|
|
**Action Item**: Consider standardizing all success responses to Format 1 for consistency with error responses.
|
|
|
|
---
|
|
|
|
## Logging Standards
|
|
|
|
### Current Logging Implementation
|
|
|
|
#### ✅ Strengths
|
|
|
|
1. **Structured logging** with `structlog` in WebSocket module
|
|
2. **Appropriate log levels**: INFO, WARNING, ERROR
|
|
3. **Contextual information** in log messages
|
|
4. **Extra fields** for better filtering
|
|
|
|
#### ⚠️ Areas for Improvement
|
|
|
|
1. **Inconsistent logging libraries**: Some modules use `logging`, others use `structlog`
|
|
2. **Missing request IDs** in some log messages
|
|
3. **Incomplete correlation** between logs and errors
|
|
|
|
### Recommended Logging Pattern
|
|
|
|
```python
|
|
import structlog
|
|
|
|
logger = structlog.get_logger(__name__)
|
|
|
|
@router.post("/endpoint")
|
|
async def endpoint(request: Request, data: RequestModel):
|
|
request_id = str(uuid.uuid4())
|
|
request.state.request_id = request_id
|
|
|
|
logger.info(
|
|
"Processing request",
|
|
request_id=request_id,
|
|
endpoint="/endpoint",
|
|
method="POST",
|
|
user_id=getattr(request.state, "user_id", None),
|
|
)
|
|
|
|
try:
|
|
# ... processing logic
|
|
|
|
logger.info(
|
|
"Request completed successfully",
|
|
request_id=request_id,
|
|
duration_ms=elapsed_time,
|
|
)
|
|
|
|
return {"success": True, "data": result}
|
|
|
|
except Exception as e:
|
|
logger.error(
|
|
"Request failed",
|
|
request_id=request_id,
|
|
error=str(e),
|
|
error_type=type(e).__name__,
|
|
exc_info=True,
|
|
)
|
|
raise
|
|
```
|
|
|
|
---
|
|
|
|
## Validation Summary
|
|
|
|
### ✅ Excellent Implementation
|
|
|
|
| Category | Status | Notes |
|
|
| ------------------------ | ------------ | ------------------------------------------- |
|
|
| Exception Hierarchy | ✅ Excellent | Well-structured, comprehensive |
|
|
| Global Error Handlers | ✅ Excellent | Registered for all exception types |
|
|
| Authentication Endpoints | ✅ Good | Proper status codes, could add more logging |
|
|
| Anime Endpoints | ✅ Excellent | Input validation, security checks |
|
|
| Download Endpoints | ✅ Excellent | Comprehensive error handling |
|
|
| Config Endpoints | ✅ Excellent | Service-specific exceptions |
|
|
| Health Endpoints | ✅ Excellent | Graceful degradation |
|
|
| WebSocket Endpoints | ✅ Excellent | Proper cleanup, structured errors |
|
|
| Maintenance Endpoints | ✅ Excellent | Comprehensive try-catch blocks |
|
|
|
|
### ⚠️ Needs Enhancement
|
|
|
|
| Category | Status | Issue | Priority |
|
|
| --------------------------- | ----------- | ------------------------------------------- | -------- |
|
|
| Analytics Endpoints | ⚠️ Fair | Missing error handling in some methods | Medium |
|
|
| Backup Endpoints | ⚠️ Good | Could use more comprehensive error handling | Low |
|
|
| Response Format Consistency | ⚠️ Moderate | Multiple success response formats | Medium |
|
|
| Logging Consistency | ⚠️ Moderate | Mixed use of logging vs structlog | Low |
|
|
| Request ID Tracking | ⚠️ Missing | Not consistently implemented | Medium |
|
|
|
|
---
|
|
|
|
## Recommendations
|
|
|
|
### Priority 1: Critical (Implement Soon)
|
|
|
|
1. **Add comprehensive error handling to analytics endpoints**
|
|
|
|
- Wrap all database operations in try-catch
|
|
- Return meaningful error messages
|
|
- Log all failures with context
|
|
|
|
2. **Implement request ID tracking**
|
|
|
|
- Generate unique request ID for each API call
|
|
- Include in all log messages
|
|
- Return in error responses
|
|
- Enable distributed tracing
|
|
|
|
3. **Standardize success response format**
|
|
- Use consistent `{success, data, message}` format
|
|
- Update all endpoints to use standard format
|
|
- Update frontend to expect standard format
|
|
|
|
### Priority 2: Important (Implement This Quarter)
|
|
|
|
4. **Migrate to structured logging everywhere**
|
|
|
|
- Replace all `logging` with `structlog`
|
|
- Add structured fields to all log messages
|
|
- Include request context in all logs
|
|
|
|
5. **Add error rate monitoring**
|
|
|
|
- Track error rates by endpoint
|
|
- Alert on unusual error patterns
|
|
- Dashboard for error trends
|
|
|
|
6. **Enhance error messages**
|
|
- More descriptive error messages for users
|
|
- Technical details only in `details` field
|
|
- Actionable guidance where possible
|
|
|
|
### Priority 3: Nice to Have (Future Enhancement)
|
|
|
|
7. **Implement retry logic for transient failures**
|
|
|
|
- Automatic retries for database operations
|
|
- Exponential backoff for external APIs
|
|
- Circuit breaker pattern for providers
|
|
|
|
8. **Add error aggregation and reporting**
|
|
|
|
- Centralized error tracking (e.g., Sentry)
|
|
- Error grouping and deduplication
|
|
- Automatic issue creation for critical errors
|
|
|
|
9. **Create error documentation**
|
|
- Comprehensive error code reference
|
|
- Troubleshooting guide for common errors
|
|
- Examples of error responses
|
|
|
|
---
|
|
|
|
## Conclusion
|
|
|
|
The Aniworld API demonstrates **strong error handling practices** with:
|
|
|
|
✅ Well-designed exception hierarchy
|
|
✅ Comprehensive middleware error handling
|
|
✅ Proper HTTP status code usage
|
|
✅ Input validation and sanitization
|
|
✅ Defensive programming throughout
|
|
|
|
With the recommended enhancements, particularly around analytics endpoints, response format standardization, and request ID tracking, the error handling implementation will be **world-class**.
|
|
|
|
---
|
|
|
|
**Report Author**: AI Agent
|
|
**Last Updated**: October 23, 2025
|
|
**Version**: 1.0
|