- Pass pets list to dashboard template (Critical 3)
- Sanitize upload filenames with werkzeug secure_filename (Important 6)
- Validate image extension against allowlist (Important 7)
- 404 check for pet existence in upload and update endpoints (Important 8)
- Save uploads to training/{pet_name}/ not training/{pet_id}/ (Important 11)
- Wire /train to PetTrainer with background thread (Important 12)
- Wire /api/training-status to stored trainer status (Important 13)
- Implement /api/highlights from sightings + wildlife queries (Important 14)
- Cap limit param at 500 on sightings and wildlife endpoints (Important 15)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace the flat pet/detected handler with context-aware classification:
unknown animals (no pet_id) → UNKNOWN_ANIMAL/WARNING, known pets in
exterior/transition zones → PET_ESCAPE/ALERT, known pets indoors →
PET_DETECTED/INFO. Adds four new unit tests covering all three paths.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements all /pets/* routes (register, status, sightings, wildlife,
unlabeled crops, label, upload, update, delete, train, training-status,
highlights), registers the blueprint in app.py, adds a placeholder
dashboard template, and covers the API with 11 passing unit tests.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
18 tasks covering: YOLOv8 detector, pet ID classifier, wildlife threat
classification, crop management, alert integration, web UI, and training.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Covers pet detection (YOLOv8), pet ID classifier, wildlife threat
tiers, zone-based alerting, training UI, and pet dashboard.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Task 4 — Alert Profiles: presence-aware + time-of-day alert routing.
Profiles match household state (EMPTY/KIDS_HOME/ADULTS_HOME/ALL_HOME)
and time windows (sleep hours). Per-detection-type rules control
push/record/quiet behavior with role-based recipients (all vs adults).
Task 5 — Recording Timeline: canvas-based 24h timeline per camera
with color-coded segments (person=red, vehicle=blue, motion=gray).
Click-to-play, date picker, detection type filters, hour markers.
Timeline API endpoint returns segments for a camera+date.
All 5 daily-use feature tasks complete. 140 tests passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
5-task plan covering presence detection, person/vehicle AI detection,
smart alert profiles, recording timeline UI, and health monitoring.
Tasks 1-3 parallelizable, 4 depends on 1+2, 5 depends on 2.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Spec covers 5 feature areas for making Vigilar a system a household
relies on daily: multi-person presence detection, MobileNet person +
vehicle detection with driveway fencing, smart alert profiles with
presence/time awareness, recording timeline UI, and health monitoring
with auto-prune and daily digest.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
