mirror of
https://github.com/immich-app/immich.git
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a097e903c9
* wip * span class decorator fix typing * improvements * noisy postgres logs formatting * add source * strict string comparison Co-authored-by: Daniel Dietzler <36593685+danieldietzler@users.noreply.github.com> * remove debug code * execution time histogram * remove prometheus stuff remove prometheus data * disable by default disable nestjs-otel stuff by default update imports * re-add postgres instrumentation formatting formatting * refactor: execution time histogram * decorator alias * formatting * keep original method order in filesystem repo * linting * enable otel sdk in e2e * actually enable otel sdk in e2e * share exclude paths * formatting * fix rebase * more buckets * add example setup * add envs fix actual fix * linting * update comments * update docker env * use more specific env --------- Co-authored-by: Daniel Dietzler <36593685+danieldietzler@users.noreply.github.com> Co-authored-by: Jason Rasmussen <jrasm91@gmail.com>
100 lines
2.6 KiB
YAML
100 lines
2.6 KiB
YAML
version: '3.8'
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name: immich-prod
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x-server-build: &server-common
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image: immich-server:latest
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build:
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context: ../
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dockerfile: server/Dockerfile
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volumes:
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- ${UPLOAD_LOCATION}/photos:/usr/src/app/upload
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- /etc/localtime:/etc/localtime:ro
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env_file:
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- .env
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restart: always
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services:
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immich-server:
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container_name: immich_server
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command: ['start.sh', 'immich']
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<<: *server-common
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ports:
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- 2283:3001
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depends_on:
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- redis
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- database
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immich-microservices:
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container_name: immich_microservices
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command: ['start.sh', 'microservices']
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<<: *server-common
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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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depends_on:
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- redis
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- database
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- immich-server
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immich-machine-learning:
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container_name: immich_machine_learning
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image: immich-machine-learning:latest
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# extends:
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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
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build:
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context: ../machine-learning
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dockerfile: Dockerfile
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args:
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- DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
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volumes:
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- model-cache:/cache
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env_file:
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- .env
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restart: always
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redis:
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container_name: immich_redis
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image: redis:6.2-alpine@sha256:51d6c56749a4243096327e3fb964a48ed92254357108449cb6e23999c37773c5
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restart: always
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database:
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container_name: immich_postgres
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image: tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
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env_file:
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- .env
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environment:
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POSTGRES_PASSWORD: ${DB_PASSWORD}
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POSTGRES_USER: ${DB_USERNAME}
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POSTGRES_DB: ${DB_DATABASE_NAME}
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volumes:
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- ${UPLOAD_LOCATION}/postgres:/var/lib/postgresql/data
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ports:
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- 5432:5432
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# set IMMICH_METRICS=true in .env to enable metrics
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immich-prometheus:
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container_name: immich_prometheus
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ports:
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- 9090:9090
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image: prom/prometheus
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volumes:
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- ./prometheus.yml:/etc/prometheus/prometheus.yml
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- prometheus-data:/prometheus
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# first login uses admin/admin
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# add data source for http://immich-prometheus:9090 to get started
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immich-grafana:
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container_name: immich_grafana
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command: ['./run.sh', '-disable-reporting']
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ports:
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- 3000:3000
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image: grafana/grafana:10.3.3-ubuntu
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volumes:
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- grafana-data:/var/lib/grafana
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volumes:
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model-cache:
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prometheus-data:
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grafana-data:
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