mirror of
https://github.com/nickyeoman/docker-compose-cookbooks.git
synced 2026-09-04 02:46:23 +00:00
66 lines
2.6 KiB
YAML
66 lines
2.6 KiB
YAML
services:
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immich-server:
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image: ${IMMICH_IMAGE}
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# extends:
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# file: hwaccel.transcoding.yml
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# service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
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volumes:
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# Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
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- ${VOL_PATH:-./data}/immich-upload:/usr/src/app/upload
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- ${VOL_PATH:-./data}/immich-import:/import
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- /etc/localtime:/etc/localtime:ro
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environment:
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- REDIS_HOSTNAME=${IMMICH_REDIS_HOSTNAME:-immich-redis}
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- DB_HOSTNAME=${IMMICH_DB_HOSTNAME:-immich-postgres}
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- DB_PASSWORD=${IMMICH_DB_PASSWORD:-postgres}
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- DB_USERNAME=${IMMICH_DB_USERNAME:-postgres}
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- DB_DATABASE_NAME=${IMMICH_DB_DATABASE_NAME:-immich}
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healthcheck:
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disable: false
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ports:
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- "8000:2283"
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immich-machine-learning:
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# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
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# Example tag: ${IMMICH_VERSION:-release}-cuda
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image: ghcr.io/immich-app/immich-machine-learning:release
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# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
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# file: hwaccel.ml.yml
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# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
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volumes:
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- ${VOL_PATH:-./data}/model-cache:/cache
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healthcheck:
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disable: false
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immich-redis:
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image: ${REDIS_IMAGE}
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healthcheck:
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test: redis-cli ping || exit 1
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immich-postgres:
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image: ${POSTGRES_IMAGE}
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environment:
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POSTGRES_PASSWORD: ${IMMICH_DB_PASSWORD:-postgrespass}
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POSTGRES_USER: ${IMMICH_DB_USERNAME:-postgres}
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POSTGRES_DB: ${IMMICH_DB_DATABASE_NAME:-immich}
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POSTGRES_INITDB_ARGS: '--data-checksums'
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volumes:
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- ${VOL_PATH:-./data}/immich-postgres:/var/lib/postgresql/data
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healthcheck:
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test: >-
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pg_isready --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" || exit 1;
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Chksum="$$(psql --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" --tuples-only --no-align
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--command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')";
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echo "checksum failure count is $$Chksum";
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[ "$$Chksum" = '0' ] || exit 1
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interval: 5m
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start_period: 5m
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command: >-
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postgres
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-c shared_preload_libraries=vectors.so
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-c 'search_path="$$user", public, vectors'
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-c logging_collector=on
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-c max_wal_size=2GB
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-c shared_buffers=512MB
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-c wal_compression=on
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