Tracker Routes Refactoring
The tracker API routes have been refactored from a single monolithic file into smaller, more manageable modules for better maintainability and code organization.
Background
The original app/api/routes/trackers.py file had grown to over 700 lines and contained multiple distinct areas of functionality, making it difficult to maintain and edit. This refactoring splits the functionality into logical modules while maintaining full backward compatibility.
File Structure
The tracker routes are now organized in app/api/routes/trackers/ with the following structure:
__init__.py
- Main router that combines all tracker endpoints
- Imports functions from individual modules and registers them with the router
- Maintains backward compatibility with the original API structure
listing.py
- Purpose: Main tracker listing and search functionality
- Endpoints:
GET /- List trackers with filtering, pagination, and sorting- Supports filters: id, production_run_id, status, name
- Includes caching and performance tracking
- Optional latest location inclusion
crud.py
- Purpose: Core CRUD (Create, Read, Update, Delete) operations
- Endpoints:
POST /- Create new trackerGET /{tracker_id}- Get tracker by ID (full details)PUT /{tracker_id}- Update trackerDELETE /{tracker_id}- Delete tracker- Features: Client filtering, permission checks, cache invalidation
location_history.py
- Purpose: Location history operations for trackers
- Endpoints:
GET /{tracker_id}/location-history- Get paginated location history- Features: Date filtering, coordinate processing, pagination
status.py
- Purpose: Status-related operations
- Endpoints:
GET /status-counts- Get tracker counts by statusGET /{tracker_id}/status-history- Get status history for a trackerPOST /{tracker_id}/status- Create new status entry- Features: Status enumeration, client filtering, cache invalidation
csv_import.py
- Purpose: CSV import functionality
- Endpoints:
POST /import-csv- Import trackers from CSV file- Features:
- Flexible column name matching (case-insensitive)
- Duplicate detection
- Error handling and rollback
- Temporary file management
Benefits of Refactoring
- Maintainability: Each file focuses on a specific area of functionality
- Readability: Smaller files (80-180 lines vs 700+ lines) are easier to understand and navigate
- Testing: Individual modules can be tested in isolation
- Collaboration: Multiple developers can work on different aspects without conflicts
- Code Organization: Related functionality is grouped together
- Reduced Merge Conflicts: Changes to different functional areas are less likely to conflict
Backward Compatibility
The refactoring maintains full backward compatibility:
- All existing API endpoints work exactly as before
- Response formats are unchanged
- Import paths remain the same (
from app.api.routes import trackers) - All route decorators and response models are preserved
- Client filtering and permission checks remain intact
- Caching behavior is unchanged
File Size Comparison
| Module | Lines | Purpose |
|---|---|---|
Original trackers.py |
700+ | All tracker functionality |
listing.py |
~170 | Listing and search |
crud.py |
~180 | CRUD operations |
location_history.py |
~80 | Location history |
status.py |
~100 | Status operations |
csv_import.py |
~170 | CSV import |
__init__.py |
~45 | Router combination |
Migration Notes
- No changes required for existing API clients
- The original file has been backed up as
trackers_backup.py - All functionality has been preserved and tested
- Import statements continue to work as before
Future Considerations
This modular structure makes it easier to:
- Add new tracker-related functionality
- Implement feature-specific optimizations
- Write focused unit tests
- Onboard new developers to specific areas
- Maintain and debug individual features