feat: add migrations, test scripts, and utility tools
- Add database migrations (006-028) for face recognition, identity, file_uuid - Add test scripts for ASR, face, search, processing - Add portal frontend (Tauri) - Add config, benchmark, and monitoring utilities - Add model checkpoints and pretrained model references
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config/production.toml
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123
config/production.toml
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# Momentry Core Production Configuration
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# Version: 1.0.0
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# Effective: 2025-03-27
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[server]
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host = "0.0.0.0"
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port = 3002
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workers = 4
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log_level = "info"
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max_connections = 1000
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keep_alive = 75
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[database]
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url = "postgres://accusys@localhost:5432/momentry"
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pool_size = 20
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idle_timeout = 300
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max_lifetime = 1800
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[redis]
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url = "redis://:accusys@localhost:6379"
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prefix = "momentry:"
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pool_size = 50
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connection_timeout = 5
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read_timeout = 3
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write_timeout = 3
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[storage]
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output_dir = "/Users/accusys/momentry/output"
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backup_dir = "/Users/accusys/momentry/backup"
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max_file_size = "10GB"
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[processors]
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asr_timeout = 7200 # 2 hours for long videos
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ocr_timeout = 3600 # 1 hour
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yolo_timeout = 14400 # 4 hours
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face_timeout = 3600 # 1 hour
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pose_timeout = 7200 # 2 hours
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asrx_timeout = 10800 # 3 hours for speaker diarization
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cut_timeout = 7200 # 2 hours for scene detection
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caption_timeout = 3600 # 1 hour for captioning
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story_timeout = 3600 # 1 hour for story generation
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default_timeout = 7200
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max_concurrent = 2 # Limit to prevent overload
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[asr]
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model_size = "medium"
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device = "cpu"
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language = "auto"
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task = "transcribe"
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beam_size = 5
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best_of = 5
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[ocr]
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languages = "en"
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confidence = 0.7
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gpu = false
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model_path = "~/.EasyOCR/model"
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[yolo]
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model_size = "yolov8n.pt"
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confidence = 0.25
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iou = 0.45
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gpu = false
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auto_save_interval = 30
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auto_save_frames = 300
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classes = "" # empty = all classes
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[face]
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method = "haar"
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confidence = 0.5
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min_size = 30
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max_size = 300
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scale_factor = 1.1
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min_neighbors = 3
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gpu = false
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gpu_backend = "cpu" # cpu, cuda, mps, rocm
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enable_mps = false
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[pose]
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model_size = "yolov8n-pose.pt"
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confidence = 0.25
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iou = 0.45
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gpu = false
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keypoint_confidence = 0.5
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max_persons = 10
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[asrx]
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model_size = "medium"
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device = "cpu"
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language = "en"
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batch_size = 16
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diarization = true
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min_speakers = 1
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max_speakers = 10
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[cut]
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method = "content"
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threshold = 27.0
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min_scene_length = 0.5
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show_progress = true
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[caption]
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model = "gpt-4"
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max_tokens = 1000
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temperature = 0.7
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[story]
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model = "gpt-4"
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max_tokens = 2000
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temperature = 0.8
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[audit]
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enabled = true
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log_file = "/Users/accusys/momentry/logs/audit.log"
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retention_days = 90
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[monitoring]
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enabled = true
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metrics_port = 9090
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health_check_interval = 30
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alert_threshold_cpu = 80
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alert_threshold_memory = 85
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alert_threshold_disk = 90
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