# VideoDetect Configuration
# All values can be overridden by environment variables (e.g., VD_SAMPLING_INTERVAL_SECONDS)

# -----------------------------------------------------
# Frame Sampling
# -----------------------------------------------------
sampling:
  interval_seconds: 30
  override_per_job: true
  quality: 2  # JPEG quality (1-31, lower=better quality)
  format: jpeg

# -----------------------------------------------------
# Confidence Thresholds
# -----------------------------------------------------
thresholds:
  T_high: 0.75  # C >= T_high → MATCH
  T_low: 0.45   # T_low <= C < T_high → REVIEW; C < T_low → SKIP

# -----------------------------------------------------
# GPU Configuration
# -----------------------------------------------------
gpu:
  max_memory_gb: 18
  batch_size: auto  # auto-tune based on available VRAM
  device: cuda

# -----------------------------------------------------
# Storage Paths
# -----------------------------------------------------
storage:
  scratch_path: /scratch
  input_path: /data/input
  output_path: /data/output
  models_path: /models
  training_path: /data/training

# -----------------------------------------------------
# Database
# -----------------------------------------------------
database:
  host: mariadb
  port: 3306
  name: videodetect
  user: videodetect
  password: videodetect123
  pool_size: 20
  pool_min: 5
  pool_recycle: 3600

# -----------------------------------------------------
# Logging
# -----------------------------------------------------
logging:
  format: json
  level: INFO
  rotation_max_bytes: 104857600  # 100MB
  rotation_backup_count: 10

# -----------------------------------------------------
# Model Configuration
# -----------------------------------------------------
model:
  face_detector: yolo8n
  face_detector_path: /models/face_detector/face_detector.trt
  classifier: mobilenetv3-small
  classifier_path: /models/classifier/classifier.trt
  input_size: 224

# -----------------------------------------------------
# Directory Scanner
# -----------------------------------------------------
scanner:
  scan_interval_seconds: 60
  walker_threads: 8
  ffprobe_timeout_seconds: 10
  hash_algorithm: sha256
  hash_chunk_size_mb: 1

# -----------------------------------------------------
# Codec Validation
# -----------------------------------------------------
codec:
  whitelist:
    - avc1      # H.264
    - hevc      # H.265
    - vp8
    - vp9
    - av01      # AV1
    - mjpeg
    - mp4v
  default_status_on_error: UNSCANNABLE

# -----------------------------------------------------
# Processing Queue
# -----------------------------------------------------
queue:
  priority: modification_time  # newest first
  max_concurrent_per_gpu: 1
  lock_timeout_seconds: 300

# -----------------------------------------------------
# Face Detection
# -----------------------------------------------------
face_detection:
  model: yolo8n
  model_path: /models/face_detector/face_detector.trt
  input_size: 640
  confidence_threshold: 0.25
  iou_threshold: 0.45
  max_faces_per_frame: 10
  max_faces_per_video: 100

# -----------------------------------------------------
# Batching
# -----------------------------------------------------
batching:
  max_batch_size: 16
  batch_timeout_ms: 100
  vram_target_gb: 16
  vram_reduce_threshold_gb: 16
  vram_increase_threshold_gb: 10

# -----------------------------------------------------
# Classification
# -----------------------------------------------------
classifier:
  model: mobilenetv3-small
  model_path: /models/classifier/classifier.trt
  input_size: 224
  temperature: 1.0  # calibration temperature
  default_strategy: max  # max, weighted_mean, top_k_mean

# -----------------------------------------------------
# Confidence Aggregation
# -----------------------------------------------------
aggregation:
  strategy: max
  alpha: 1.0   # for weighted_mean
  beta: 0.1    # for weighted_mean
  top_k: 3     # for top_k_mean

# -----------------------------------------------------
# Routing
# -----------------------------------------------------
routing:
  T_high: 0.75
  T_low: 0.45
  no_faces_decision: SKIP

# -----------------------------------------------------
# Results Persistence
# -----------------------------------------------------
results:
  persist_before_cleanup: true
  transaction_safe: true
  state_guard: true  # only update PROCESSING → COMPLETED

# -----------------------------------------------------
# Data Export
# -----------------------------------------------------
export:
  format: parquet  # parquet, jsonl, or both
  output_path: /data/output
  compression: snappy
  batch_size: 100  # export after N videos
  include_frame_confidences: true

# -----------------------------------------------------
# Review UI
# -----------------------------------------------------
review_ui:
  host: "0.0.0.0"
  port: 5000
  per_page: 20
  top_k_frames: 5
  export_path: /data/output/reviews
  auth_enabled: false
  ssl_enabled: false

# -----------------------------------------------------
# Active Learning
# -----------------------------------------------------
active_learning:
  enabled: true
  min_annotated_samples: 100
  seed: 42  # RNG seed for deterministic train/val splits and training
  training:
    epochs: 20
    batch_size: 32
    learning_rate: 0.001
    weight_decay: 0.01
    early_stopping_patience: 5
    lr_scheduler: ReduceLROnPlateau
    lr_factor: 0.5
    lr_patience: 3
  validation:
    val_split: 0.2
    min_f1_improvement: 0.02
    max_ece: 0.08
  deployment:
    auto_deploy: true
    hot_reload: true
    rollback_enabled: true
  augmentation:
    horizontal_flip: true
    color_jitter: true
    affine: true
    affine_degrees: 10
    affine_scale: 0.1

# -----------------------------------------------------
# Monitoring
# -----------------------------------------------------
monitoring:
  prometheus:
    enabled: true
    port: 9090
    metrics_path: /metrics
  grafana:
    enabled: true
    port: 3000
  alerts:
    confidence_drift_threshold: 0.10
    review_queue_max_size: 1000
    review_queue_max_age_hours: 24
    throughput_min_videos_per_hour: 20
    throughput_min_duration_hours: 1
    error_rate_threshold: 0.05
    error_rate_window_hours: 1
  drift_detection:
    enabled: true
    schedule: "0 2 * * 0"  # cron: Sundays at 2 AM
    baseline_source: db
  health_check:
    port: 8080
  crash_recovery:
    lock_timeout_minutes: 5
    auto_requeue: true
  retry:
    max_attempts: 3
    initial_delay: 1.0
    backoff_factor: 2.0
    retryable_errors:
      - timeout
      - gpu_oom
      - file_lock
    non_retryable_errors:
      - codec_unsupported
      - file_corrupt
      - invalid_path