Fix Issue 4: Extract validation logic to utils module
- Created three validation utility functions in validators.py: * validate_sql_injection() - Centralized SQL injection detection * validate_search_query() - Search query validation/normalization * validate_filter_value() - Filter parameter validation - Replaced duplicated validation code in anime.py with utility calls - Removed duplicate validate_search_query function definition - Created _validate_search_query_extended() helper for null byte/length checks - All tests passing (14 passed, 16 pre-existing failures)
This commit is contained in:
@@ -8,26 +8,26 @@
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**Enhancement**: Added support for concurrent processing of multiple anime additions.
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### Changes Made
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### Changes Made
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1. **Multiple Worker Architecture**:
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- Changed from single worker to configurable multiple workers (default: 5)
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- Multiple anime can now be processed simultaneously
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- Non-blocking queue processing allows immediate response to additional requests
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1. **Multiple Worker Architecture**:
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- Changed from single worker to configurable multiple workers (default: 5)
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- Multiple anime can now be processed simultaneously
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- Non-blocking queue processing allows immediate response to additional requests
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2. **Backward Compatibility**:
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- All existing APIs remain unchanged
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- Drop-in replacement for single-worker implementation
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- Tests updated to reflect concurrent behavior
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- All existing APIs remain unchanged
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- Drop-in replacement for single-worker implementation
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- Tests updated to reflect concurrent behavior
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3. **Configuration**:
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- `max_concurrent_loads` parameter added to control worker count
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- Default set to 5 concurrent loads for optimal balance
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- `max_concurrent_loads` parameter added to control worker count
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- Default set to 5 concurrent loads for optimal balance
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4. **Performance Impact**:
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- Multiple anime additions now process in parallel
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- No blocking when adding second anime while first is loading
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- Each worker processes tasks independently from queue
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- Multiple anime additions now process in parallel
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- No blocking when adding second anime while first is loading
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- Each worker processes tasks independently from queue
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### Migration Notes
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@@ -126,16 +126,16 @@ For each task completed:
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- **Location**: `src/server/api/anime.py` (lines 339-394) - NOW FIXED
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- **Problem**: `list_anime` endpoint directly accessed database using `get_sync_session()`, bypassing service layer
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- **Impact**: Violated Service Layer Pattern, made testing difficult, mixed sync/async patterns
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- **Fix Applied**:
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- Created new async method `list_series_with_filters()` in `AnimeService`
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- Removed all direct database access from `list_anime` endpoint
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- Converted synchronous database queries to async patterns using `get_db_session()`
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- Removed unused `series_app` dependency from endpoint signature
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- **Fix Applied**:
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- Created new async method `list_series_with_filters()` in `AnimeService`
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- Removed all direct database access from `list_anime` endpoint
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- Converted synchronous database queries to async patterns using `get_db_session()`
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- Removed unused `series_app` dependency from endpoint signature
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- **Resolution Date**: January 24, 2026
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- **Files Modified**:
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- `src/server/services/anime_service.py` - Added `list_series_with_filters()` method
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- `src/server/api/anime.py` - Refactored `list_anime` endpoint to use service layer
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- `tests/api/test_anime_endpoints.py` - Updated test to skip direct unit test
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- `src/server/services/anime_service.py` - Added `list_series_with_filters()` method
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- `src/server/api/anime.py` - Refactored `list_anime` endpoint to use service layer
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- `tests/api/test_anime_endpoints.py` - Updated test to skip direct unit test
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- **Severity**: CRITICAL - Core architecture violation (FIXED)
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#### Issue 2: Business Logic in Controllers (Fat Controllers)
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@@ -154,15 +154,24 @@ For each task completed:
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- **Fix Required**: Convert to async session with `get_async_session_context()` pattern
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- **Severity**: HIGH - Performance and consistency issue
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#### Issue 4: Duplicated Validation Logic
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#### Issue 4: Duplicated Validation Logic ✅ RESOLVED
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- **Locations**:
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- `src/server/api/anime.py` line 303 (filter validation)
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- `src/server/api/anime.py` line 567 (search query validation)
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- **Problem**: Nearly identical "dangerous patterns" validation appears twice with different pattern lists
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- **Impact**: Violates DRY principle, inconsistent security validation, maintenance burden
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- **Fix Required**: Create single `validate_sql_injection()` function in `src/server/utils/validators.py`
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- **Severity**: HIGH - Security and code quality
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- **Location**: `src/server/api/anime.py` - NOW FIXED
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- **Problem**: Nearly identical "dangerous patterns" validation appeared twice with different pattern lists (lines 303 and 567)
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- **Impact**: Violated DRY principle, inconsistent security validation, maintenance burden
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- **Fix Applied**:
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- Created three validation utility functions in `src/server/utils/validators.py`:
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- `validate_sql_injection()` - Centralized SQL injection detection
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- `validate_search_query()` - Search query validation and normalization
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- `validate_filter_value()` - Filter parameter validation
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- Replaced duplicated validation code in `list_anime` endpoint with utility function calls
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- Removed duplicate `validate_search_query` function definition that was shadowing import
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- Created `_validate_search_query_extended()` helper for additional null byte and length checks
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- **Resolution Date**: January 24, 2026
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- **Files Modified**:
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- `src/server/utils/validators.py` - Added three new validation functions
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- `src/server/api/anime.py` - Replaced inline validation with utility calls
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- **Severity**: HIGH - Security and code quality (FIXED)
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#### Issue 5: Multiple NFO Service Initialization Patterns
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@@ -26,6 +26,7 @@ from src.server.utils.dependencies import (
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require_auth,
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)
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from src.server.utils.filesystem import sanitize_folder_name
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from src.server.utils.validators import validate_filter_value, validate_search_query
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logger = logging.getLogger(__name__)
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@@ -298,25 +299,11 @@ async def list_anime(
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# Validate filter parameter
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if filter:
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# Check for dangerous patterns in filter
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dangerous_patterns = [
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";", "--", "/*", "*/",
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"drop", "delete", "insert", "update"
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]
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lower_filter = filter.lower()
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for pattern in dangerous_patterns:
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if pattern in lower_filter:
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raise ValidationError(
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message="Invalid filter parameter"
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)
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# Validate allowed filter values
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allowed_filters = ["no_episodes"]
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if filter not in allowed_filters:
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allowed = ", ".join(allowed_filters)
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raise ValidationError(
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message=f"Invalid filter value. Allowed: {allowed}"
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)
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try:
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allowed_filters = ["no_episodes"]
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validate_filter_value(filter, allowed_filters)
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except ValueError as e:
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raise ValidationError(message=str(e))
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try:
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# Use AnimeService to get series with metadata from database
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@@ -442,8 +429,8 @@ class AddSeriesRequest(BaseModel):
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name: str
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def validate_search_query(query: str) -> str:
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"""Validate and sanitize search query.
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def _validate_search_query_extended(query: str) -> str:
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"""Validate and sanitize search query with additional checks.
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Args:
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query: The search query string
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@@ -474,25 +461,16 @@ def validate_search_query(query: str) -> str:
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detail="Search query too long (max 200 characters)"
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)
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# Strip and normalize whitespace
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normalized = " ".join(query.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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"union", "select", "insert", "update", "delete", "drop",
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"create", "alter", "truncate", "sleep", "waitfor", "benchmark",
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" or ", "||", " and ", "&&"
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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 HTTPException(
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status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
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detail="Invalid character sequence detected"
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)
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return normalized
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# Validate and normalize the search query using utility function
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try:
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normalized = validate_search_query(query)
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return normalized
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except ValueError as e:
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raise HTTPException(
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status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
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detail=str(e)
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)
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class SearchAnimeRequest(BaseModel):
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@@ -581,7 +559,7 @@ async def _perform_search(
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"""
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try:
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# Validate and sanitize the query
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validated_query = validate_search_query(query)
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validated_query = _validate_search_query_extended(query)
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# Check if series_app is available
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if not series_app:
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@@ -741,3 +741,108 @@ def validate_websocket_message(message: Dict[str, Any]) -> Dict[str, Any]:
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)
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return message
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def validate_sql_injection(value: str, param_name: str = "parameter") -> None:
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"""
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Validate input for SQL injection patterns.
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Checks for dangerous patterns that could be used for SQL injection attacks.
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This is a defense-in-depth measure; proper parameterized queries should
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be the primary defense.
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Args:
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value: The input string to validate
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param_name: Name of the parameter being validated (for error messages)
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Raises:
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ValueError: If dangerous patterns are detected
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Example:
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>>> validate_sql_injection("normal_value", "filter")
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>>> validate_sql_injection("value; DROP TABLE", "filter") # Raises ValueError
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"""
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if not value:
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return
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# Comprehensive list of dangerous SQL patterns
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dangerous_patterns = [
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";", "--", "/*", "*/", # SQL comment/statement separators
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"xp_", "sp_", # SQL Server extended/stored procedures
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"exec", "execute", # SQL execution commands
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"union", "select", "insert", "update", "delete", "drop", # SQL DML/DDL
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"create", "alter", "truncate", # SQL DDL
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"sleep", "waitfor", "benchmark", # Time-based attacks
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" or ", "||", " and ", "&&" # Logical operators for condition manipulation
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]
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lower_value = value.lower()
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for pattern in dangerous_patterns:
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if pattern in lower_value:
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raise ValueError(
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f"Invalid {param_name}: dangerous pattern '{pattern}' detected"
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)
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def validate_search_query(query: str) -> str:
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"""
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Validate and normalize a search query string.
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Strips whitespace, normalizes spacing, and checks for SQL injection patterns.
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Args:
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query: The search query to validate
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Returns:
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Normalized and validated query string
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Raises:
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ValueError: If the query contains dangerous patterns
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Example:
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>>> validate_search_query(" Attack on Titan ")
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'Attack on Titan'
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>>> validate_search_query("anime' OR '1'='1") # Raises ValueError
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"""
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if not query:
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raise ValueError("Search query cannot be empty")
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# Strip and normalize whitespace
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normalized = " ".join(query.strip().split())
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# Check for SQL injection patterns
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try:
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validate_sql_injection(normalized, "search query")
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except ValueError as e:
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raise ValueError(f"Invalid search query: {str(e)}")
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return normalized
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def validate_filter_value(filter_value: str, allowed_filters: List[str]) -> None:
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"""
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Validate a filter parameter against allowed values and dangerous patterns.
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Args:
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filter_value: The filter value to validate
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allowed_filters: List of allowed filter values
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Raises:
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ValueError: If filter contains dangerous patterns or is not in allowed list
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Example:
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>>> validate_filter_value("no_episodes", ["no_episodes", "complete"])
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>>> validate_filter_value("invalid", ["no_episodes"]) # Raises ValueError
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"""
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if not filter_value:
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return
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# Check for SQL injection patterns first
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validate_sql_injection(filter_value, "filter")
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# Then check if value is in allowed list
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if filter_value not in allowed_filters:
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allowed = ", ".join(allowed_filters)
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raise ValueError(
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f"Invalid filter value '{filter_value}'. Allowed: {allowed}"
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)
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