# Mulita configuration file
#
# Source roots and discard handling are owned by the database — manage them
# from the UI (left sidebar → "+ Add Source Folder") or via the API. Only
# operational tuning lives here.

thumbnails:
  small: 240      # px, longest edge
  medium: 640
  large: 1280
  quality: 85     # JPEG/WebP quality
  format: webp    # output format for thumbs

scanner:
  watch: true     # use watchfiles inotify
  initial_scan_on_start: true
  batch_size: 100
  concurrent_workers: 4

performance:
  max_concurrent_thumbnails: 10
  cache_ttl: 3600
  db_pool_size: 20
  db_pool_recycle: 3600

# AI vision pipeline — embedding, OCR, object detection, face recognition.
# Runs on the dedicated `vision` Celery queue (PR4+). Set enabled: false
# to disable all vision processing.
vision:
  enabled: true
  backend: onnx            # "onnx" (CPU) | "rocm" (future GPU)
  models_dir: /data/models
  embedder:
    name: openclip_vitb32
    batch_size: 8
  ocr:
    enabled: true
    languages: [en]
    min_confidence: 0.5
  detector:
    enabled: true
    min_confidence: 0.35
    max_detections: 50
  faces:
    enabled: true
    min_face_size: 40
    recognition_threshold: 0.7
    cluster_eps: 0.35
  worker_concurrency: 2