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immich/docker/docker-compose.dev.yml

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# See:
# - https://immich.app/docs/developer/setup
# - https://immich.app/docs/developer/troubleshooting
version: '3.8'
name: immich-dev
x-server-build: &server-common
image: immich-server-dev:latest
build:
context: ../
dockerfile: server/Dockerfile
target: dev
restart: always
volumes:
- ../server:/usr/src/app
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- ../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
services:
immich-server:
container_name: immich_server
command: ['/usr/src/app/bin/immich-dev', 'immich']
<<: *server-common
ports:
- 3001:3001
- 9230:9230
depends_on:
- redis
- database
WIP refactor container and queuing system (#206) * refactor microservices to machine-learning * Update tGithub issue template with correct task syntax * Added microservices container * Communicate between service based on queue system * added dependency * Fixed problem with having to import BullQueue into the individual service * Added todo * refactor server into monorepo with microservices * refactor database and entity to library * added simple migration * Move migrations and database config to library * Migration works in library * Cosmetic change in logging message * added user dto * Fixed issue with testing not able to find the shared library * Clean up library mapping path * Added webp generator to microservices * Update Github Action build latest * Fixed issue NPM cannot install due to conflict witl Bull Queue * format project with prettier * Modified docker-compose file * Add GH Action for Staging build: * Fixed GH action job name * Modified GH Action to only build & push latest when pushing to main * Added Test 2e2 Github Action * Added Test 2e2 Github Action * Implemented microservice to extract exif * Added cronjob to scan and generate webp thumbnail at midnight * Refactor to ireduce hit time to database when running microservices * Added error handling to asset services that handle read file from disk * Added video transcoding queue to process one video at a time * Fixed loading spinner on web while loading covering the info panel * Add mechanism to show new release announcement to web and mobile app (#209) * Added changelog page * Fixed issues based on PR comments * Fixed issue with video transcoding run on the server * Change entry point content for backward combatibility when starting up server * Added announcement box * Added error handling to failed silently when the app version checking is not able to make the request to GITHUB * Added new version announcement overlay * Update message * Added messages * Added logic to check and show announcement * Add method to handle saving new version * Added button to dimiss the acknowledge message * Up version for deployment to the app store
2022-06-11 23:12:06 +02:00
immich-microservices:
container_name: immich_microservices
command: ['/usr/src/app/bin/immich-dev', 'microservices']
<<: *server-common
# extends:
# file: hwaccel.transcoding.yml
# service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
ports:
- 9231:9230
depends_on:
- database
- immich-server
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
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- ../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@sha256:3fcb624d83a9c478357f16dc173c58ded325ccc5fd2a4375f3916c04cc579f70
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}
volumes:
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- ${UPLOAD_LOCATION}/postgres:/var/lib/postgresql/data
ports:
- 5432:5432
# 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: