Files
frigate-notify/docker-compose.yml
pluto f5f688277f feat: integrate recognition engine into MQTT event pipeline
- Recognition pipeline runs between snapshot fetch and notification
- Checks recognition_enabled setting before running CLIP matching
- Known objects with quiet/suppress action skip Matrix notifications
- Vision description uses configurable backend (haiku/ollama/both)
- docker-compose.yml adds CLIP/Ollama env vars and data volume

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 17:23:54 -06:00

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1.0 KiB
YAML
Executable File

services:
frigate-notify:
build:
context: .
dockerfile: Dockerfile
container_name: frigate-notify
restart: unless-stopped
network_mode: host
environment:
- TZ=America/Chicago
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
- MATRIX_ACCESS_TOKEN=${MATRIX_ACCESS_TOKEN}
- MATRIX_ROOM_ID=${MATRIX_ROOM_ID}
- FRIGATE_URL=http://192.168.86.192:5000
- MQTT_HOST=192.168.86.192
- MQTT_PORT=1883
- MATRIX_HOMESERVER=http://192.168.86.192:8008
- CLIP_SERVICE_URL=http://192.168.86.196:5200
- OLLAMA_URL=http://192.168.86.196:11434
- OLLAMA_MODEL=llava:13b
- DB_PATH=/data/frigate-notify.db
volumes:
- /mnt/docker-data/configs/frigate-notify:/data
mem_limit: 256M
memswap_limit: 256M
healthcheck:
test: ["CMD-SHELL", "curl -sf http://localhost:5199/health || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
logging:
driver: "json-file"
options:
max-size: "50m"
max-file: "3"