Phillip Tarrant
ee0c5a2c3c
Implemented APScheduler integration for background scan execution,
enabling async job processing without blocking HTTP requests.
## Changes
### Background Jobs (web/jobs/)
- scan_job.py - Execute scans in background threads
- execute_scan() with isolated database sessions
- Comprehensive error handling and logging
- Scan status lifecycle tracking
- Timing and error message storage
### Scheduler Service (web/services/scheduler_service.py)
- SchedulerService class for job management
- APScheduler BackgroundScheduler integration
- ThreadPoolExecutor for concurrent jobs (max 3 workers)
- queue_scan() - Immediate job execution
- Job monitoring: list_jobs(), get_job_status()
- Graceful shutdown handling
### Flask Integration (web/app.py)
- init_scheduler() function
- Scheduler initialization in app factory
- Stored scheduler in app context (app.scheduler)
### Database Schema (migration 003)
- Added scan timing fields:
- started_at - Scan execution start time
- completed_at - Scan execution completion time
- error_message - Error details for failed scans
### Service Layer Updates (web/services/scan_service.py)
- trigger_scan() accepts scheduler parameter
- Queues background jobs after creating scan record
- get_scan_status() includes new timing and error fields
- _save_scan_to_db() sets completed_at timestamp
### API Updates (web/api/scans.py)
- POST /api/scans passes scheduler to trigger_scan()
- Scans now execute in background automatically
### Model Updates (web/models.py)
- Added started_at, completed_at, error_message to Scan model
### Testing (tests/test_background_jobs.py)
- 13 unit tests for background job execution
- Scheduler initialization and configuration tests
- Job queuing and status tracking tests
- Scan timing field tests
- Error handling and storage tests
- Integration test for full workflow (skipped by default)
## Features
- Async scan execution without blocking HTTP requests
- Concurrent scan support (configurable max workers)
- Isolated database sessions per background thread
- Scan lifecycle tracking: created → running → completed/failed
- Error messages captured and stored in database
- Job monitoring and management capabilities
- Graceful shutdown waits for running jobs
## Implementation Notes
- Scanner runs in subprocess from background thread
- Docker provides necessary privileges (--privileged, --network host)
- Each job gets isolated SQLAlchemy session (avoid locking)
- Job IDs follow pattern: scan_{scan_id}
- Background jobs survive across requests
- Failed jobs store error messages in database
## Documentation (docs/ai/PHASE2.md)
- Updated progress: 6/14 days complete (43%)
- Marked Step 3 as complete
- Added detailed implementation notes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
7 lines
162 B
Python
7 lines
162 B
Python
"""
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Background jobs package for SneakyScanner.
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This package contains job definitions for background task execution,
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including scan jobs and scheduled tasks.
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"""
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