记录Immich搭建的过程

最近有时间，通过windows的wsl2，docker搭建了一个immich服务。

1. 前提是已经搭建好portainer，不用它也可以

2. docker-compose.yml

#
# WARNING: Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.
#

name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.nju.edu.cn/immich-app/immich-server:${IMMICH_VERSION:-release}
    # extends:
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      # 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
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
    ports:
      - '2283:2283'
    depends_on:
      - redis
      - database
    restart: always
    healthcheck:
      disable: false

  immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.nju.edu.cn/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
    #   file: hwaccel.ml.yml
    #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - /app/immich/modelCache:/cache
    restart: always
    healthcheck:
      disable: false
  
  redis:
    container_name: immich_redis
    image: docker.io/redis:6.2-alpine@sha256:eaba718fecd1196d88533de7ba49bf903ad33664a92debb24660a922ecd9cac8
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always

  database:
    container_name: immich_postgres
    image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
    volumes:
      # Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    healthcheck:
      test: pg_isready --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' || exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
      interval: 5m
      start_period: 5m
    command:
      [
        'postgres',
        '-c',
        'shared_preload_libraries=vectors.so',
        '-c',
        'search_path="$$user", public, vectors',
        '-c',
        'logging_collector=on',
        '-c',
        'max_wal_size=2GB',
        '-c',
        'shared_buffers=512MB',
        '-c',
        'wal_compression=on',
      ]
    restart: always

volumes:
  model-cache:

　　example.env

# You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables

# The location where your uploaded files are stored
UPLOAD_LOCATION=/app/immich/photo
# The location where your database files are stored
DB_DATA_LOCATION=/app/immich/db

# To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
# TZ=Etc/UTC

# The Immich version to use. You can pin this to a specific version like "v1.71.0"
IMMICH_VERSION=release

# Connection secret for postgres. You should change it to a random password
# Please use only the characters `A-Za-z0-9`, without special characters or spaces
DB_PASSWORD=postgres

# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich

　　3. 启动的时候发现pull很慢，后改了下docker的镜像源，换成阿里云的镜像源快了很多：容器镜像服务 ACR 控制台

root@DESKTOP-LNDS6FH:~# cat /etc/docker/daemon.json
{
  "registry-mirrors": [
          "https://***.mirror.aliyuncs.com",
    "https://docker.1ms.run",
    "https://docker.domys.cc",
    "https://docker.imgdb.de",
    "https://docker-0.unsee.tech",
    "https://docker.hlmirror.com",
    "https://cjie.eu.org",
    "https://docker.m.daocloud.io",
    "https://hub.rat.dev",
    "https://docker.1panel.live",
    "https://docker.rainbond.cc"
  ]
}

　　4. 启动完之后，有个人工智能识图的，由于目前没有这个需求，暂时不管

　　5. 下载手机APP，https://github.com/immich-app/immich/releases ，app-arm64的版本

　　6. 安装完之后，需要添加服务器地址

　　7. 配置windows宿主机到wsl2的映射：

　　　　7.1 进入wsl2的ubuntu，输入 ip addr show eth0 | grep 'inet ' | awk '{print $2}' | cut -d/ -f1命令，得到wsl2的IP地址

　　　　7.2 在windows，以管理员模式打开powershell，把宿主机的2283端口映射到wsl2的2283端口，输入： netsh interface portproxy add v4tov4 listenaddress=0.0.0.0 listenport=2283 connectaddress=wsl2的ip地址 connectport=2283  ，通过 netsh interface portproxy show all显示所有的映射情况，

　　　　7.3 在windows系统配置防火墙，增加入站规则，开放2283端口

　　8. 查找主机的IP：ipconfig | findstr "IPv4" ，192的那个

　　9. 手机immich输入http://主机ip:2283 ，顺利进入app登录页面