Initial commit: frigate-notify application
AI-powered video alert service that bridges Frigate NVR events to Matrix. Listens to MQTT, uses Claude Haiku vision to analyze snapshots, and posts annotated alerts to a Matrix room. - app/main.py: MQTT subscriber and event orchestration loop - app/vision.py: Claude Haiku vision analysis wrapper - app/matrix_client.py: Matrix HTTP client for sending messages/images - app/requirements.txt: Python dependencies - Dockerfile: container image build definition - docker-compose.yml: deployment configuration (host network, NAS mounts) - .env.example: required environment variable template (copy to .env)
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services:
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frigate-notify:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: frigate-notify
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restart: unless-stopped
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network_mode: host
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environment:
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- TZ=America/Chicago
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- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
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- MATRIX_ACCESS_TOKEN=${MATRIX_ACCESS_TOKEN}
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- MATRIX_ROOM_ID=${MATRIX_ROOM_ID}
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- FRIGATE_URL=http://192.168.86.192:5000
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- MQTT_HOST=192.168.86.192
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- MQTT_PORT=1883
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- MATRIX_HOMESERVER=http://192.168.86.192:8008
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mem_limit: 256M
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memswap_limit: 256M
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healthcheck:
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test: ["CMD-SHELL", "curl -sf http://localhost:5199/health || exit 1"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 30s
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logging:
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driver: "json-file"
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options:
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max-size: "50m"
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max-file: "3"
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