# yaml-language-server: $schema=https://cubeship.dev/schema/template/v1.json
version: 1
name: 'Immich'
# The first release whose instances create a managed Postgres with
# extensions. Before it, the database would come up without pgvector and
# VectorChord, and Immich fails on its first search.
minCubeship: "0.9.0"
project: immich

inputs:
  - key: domain
    type: domain
    label: Where Immich answers

databases:
  - key: db
    name: immich-db
    engine: postgres
    version: "17"
    database: immich
    # Immich stores its embeddings as pgvector columns and indexes them
    # with VectorChord. Cubeship adds pgvector for you; both are named
    # here so the template says what it needs.
    extensions:
      - pgvector
      - vectorchord

  - key: redis
    name: immich-redis
    engine: redis
    version: "7.4"

apps:
  - key: ml
    name: machine-learning
    image: ghcr.io/immich-app/immich-machine-learning
    tag: v3.2.0
    port: 3003
    health: /ping
    # The models it downloads on first use.
    volumes:
      - path: /cache
    limits: { cpu: 2, memory: 2Gi }

  - key: server
    name: immich
    image: ghcr.io/immich-app/immich-server
    tag: v3.2.0
    port: 2283
    health: /api/server/ping
    domains:
      - host: ${input.domain}
    volumes:
      - path: /data
    limits: { cpu: 2, memory: 2Gi }
    env:
      # Named rather than attached: Immich reads DB_* and REDIS_HOSTNAME,
      # and an attachment writes DATABASE_* and REDIS_HOST.
      DB_HOSTNAME: ${db.db.host}
      DB_PORT: ${db.db.port}
      DB_USERNAME: ${db.db.user}
      DB_PASSWORD: ${db.db.password}
      DB_DATABASE_NAME: ${db.db.name}
      # Which extension holds the embeddings. Immich checks it at
      # startup, and the default is not this one.
      DB_VECTOR_EXTENSION: vectorchord
      REDIS_HOSTNAME: ${db.redis.host}
      REDIS_PORT: ${db.redis.port}
      REDIS_PASSWORD: ${db.redis.password}
      IMMICH_MACHINE_LEARNING_URL: http://${app.ml.internal}:${app.ml.port}