jeremy
dddc6734d0
Splits the single main.py into config/database/models/routes/vision/recognition/ ollama_client/cleanup modules, adds a web UI, and introduces clip-service for CLIP (ViT-L-14) embeddings. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
"""Centralized configuration for frigate-notify v2."""
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import os
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class Config:
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"""Application configuration read from environment variables."""
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# MQTT
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MQTT_HOST: str = os.environ.get("MQTT_HOST", "192.168.86.192")
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MQTT_PORT: int = int(os.environ.get("MQTT_PORT", "1883"))
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# Frigate
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FRIGATE_URL: str = os.environ.get("FRIGATE_URL", "http://192.168.86.192:5000")
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# Matrix
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MATRIX_HOMESERVER: str = os.environ.get(
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"MATRIX_HOMESERVER", "http://192.168.86.192:8008"
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)
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MATRIX_ACCESS_TOKEN: str = os.environ.get("MATRIX_ACCESS_TOKEN", "")
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MATRIX_ROOM_ID: str = os.environ.get("MATRIX_ROOM_ID", "")
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# Vision - CLIP service
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CLIP_SERVICE_URL: str = os.environ.get(
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"CLIP_SERVICE_URL", "http://192.168.86.150:5200"
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)
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# Vision - Ollama
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OLLAMA_URL: str = os.environ.get("OLLAMA_URL", "http://192.168.86.150:11434")
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OLLAMA_MODEL: str = os.environ.get("OLLAMA_MODEL", "llava:13b")
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# Recognition thresholds
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RECOGNITION_THRESHOLD_HIGH: float = float(
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os.environ.get("RECOGNITION_THRESHOLD_HIGH", "0.85")
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)
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RECOGNITION_THRESHOLD_LOW: float = float(
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os.environ.get("RECOGNITION_THRESHOLD_LOW", "0.60")
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)
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# Filtering
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ALLOWED_LABELS: set = set(
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os.environ.get("ALLOWED_LABELS", "person,car,dog,cat,bird").split(",")
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)
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MIN_SCORE: float = float(os.environ.get("MIN_SCORE", "0.7"))
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RATE_LIMIT_SECONDS: int = int(os.environ.get("RATE_LIMIT_SECONDS", "60"))
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DEDUP_WINDOW_SECONDS: int = int(os.environ.get("DEDUP_WINDOW_SECONDS", "30"))
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# Server
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SERVER_HOST: str = os.environ.get("SERVER_HOST", "0.0.0.0")
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SERVER_PORT: int = int(os.environ.get("SERVER_PORT", "5199"))
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# Database
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DB_PATH: str = os.environ.get("DB_PATH", "/data/frigate-notify.db")
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config = Config()
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