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immich/docker/docker-compose.dev.yml
renovate[bot] 5f25f28c42
chore(deps): update redis:6.2-alpine docker digest to c0634a0 (#9577)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-05-20 20:19:43 -04:00

127 lines
3.4 KiB
YAML

# See:
# - https://immich.app/docs/developer/setup
# - https://immich.app/docs/developer/troubleshooting
name: immich-dev
services:
immich-server:
container_name: immich_server
command: ['/usr/src/app/bin/immich-dev']
image: immich-server-dev:latest
build:
context: ../
dockerfile: server/Dockerfile
target: dev
restart: always
volumes:
- ../server:/usr/src/app
- ../open-api:/usr/src/open-api
- ${UPLOAD_LOCATION}/photos:/usr/src/app/upload
- ${UPLOAD_LOCATION}/photos/upload:/usr/src/app/upload/upload
- /usr/src/app/node_modules
- /etc/localtime:/etc/localtime:ro
env_file:
- .env
ulimits:
nofile:
soft: 1048576
hard: 1048576
ports:
- 3001:3001
- 9230:9230
depends_on:
- redis
- database
immich-web:
container_name: immich_web
image: immich-web-dev:latest
build:
context: ../web
command: ['/usr/src/app/bin/immich-web']
env_file:
- .env
ports:
- 2283:3000
- 24678:24678
volumes:
- ../web:/usr/src/app
- ../open-api/:/usr/src/open-api/
- /usr/src/app/node_modules
ulimits:
nofile:
soft: 1048576
hard: 1048576
restart: unless-stopped
depends_on:
- immich-server
immich-machine-learning:
container_name: immich_machine_learning
image: immich-machine-learning-dev:latest
# extends:
# file: hwaccel.ml.yml
# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
build:
context: ../machine-learning
dockerfile: Dockerfile
args:
- DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
ports:
- 3003:3003
volumes:
- ../machine-learning:/usr/src/app
- model-cache:/cache
env_file:
- .env
depends_on:
- database
restart: unless-stopped
redis:
container_name: immich_redis
image: redis:6.2-alpine@sha256:c0634a08e74a4bb576d02d1ee993dc05dba10e8b7b9492dfa28a7af100d46c01
database:
container_name: immich_postgres
image: tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
env_file:
- .env
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
volumes:
- ${UPLOAD_LOCATION}/postgres:/var/lib/postgresql/data
ports:
- 5432:5432
command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
# set IMMICH_METRICS=true in .env to enable metrics
# immich-prometheus:
# container_name: immich_prometheus
# ports:
# - 9090:9090
# image: prom/prometheus
# volumes:
# - ./prometheus.yml:/etc/prometheus/prometheus.yml
# - prometheus-data:/prometheus
# first login uses admin/admin
# add data source for http://immich-prometheus:9090 to get started
# immich-grafana:
# container_name: immich_grafana
# command: ['./run.sh', '-disable-reporting']
# ports:
# - 3000:3000
# image: grafana/grafana:10.3.3-ubuntu
# volumes:
# - grafana-data:/var/lib/grafana
volumes:
model-cache:
prometheus-data:
grafana-data: