fix: add to vector db privs to allow using it. Also update app to latest version.
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3 changed files with 6 additions and 80 deletions
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@ -2,7 +2,7 @@ apiVersion: v2
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name: immich
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description: |
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High-performance self-hosted photo and video management
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appVersion: 1.100.0
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appVersion: 1.103.1
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type: application
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icon: https://avatars.githubusercontent.com/u/109746326?s=200&v=4
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version: 0.1.6
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@ -11,4 +11,8 @@ data:
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create-extensions.sql: |
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CREATE EXTENSION IF NOT EXISTS cube;
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CREATE EXTENSION IF NOT EXISTS earthdistance;
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CREATE EXTENSION IF NOT EXISTS vectors;
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CREATE EXTENSION IF NOT EXISTS vectors;
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ALTER SCHEMA vectors OWNER TO immich;
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RESET search_path;
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SET search_path TO "$user", public, vectors;
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GRANT SELECT ON TABLE pg_vector_index_stat TO immich;
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@ -1,78 +0,0 @@
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config:
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externalUrl: https://photos.example.com/
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machineLearningUrl: http://immich-machine-learning.home.svc.cluster.local:3003
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image:
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repository: ghcr.io/immich-app/immich-server
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envSecretName: immich-secret
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library:
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persistence:
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existingClaim: immich
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configuration:
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trash:
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enabled: false
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days: 30
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storageTemplate:
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enabled: true
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template: "{{y}}/{{y}}-{{MM}}-{{dd}}/{{filename}}"
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microservices:
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securityContext: {}
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resources:
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limits:
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memory: "3Gi"
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cpu: "1000m"
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requests:
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cpu: 100m
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memory: 100Mi
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server:
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securityContext: {}
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resources:
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limits:
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memory: "3Gi"
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cpu: "1000m"
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requests:
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cpu: 100m
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memory: 100Mi
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machineLearning:
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persistence:
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accessMode: ReadWriteOnce
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size: 5Gi
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image:
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repository: ghcr.io/immich-app/immich-machine-learning
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tag: v1.103.1
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securityContext: {}
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resources:
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limits:
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memory: "3Gi"
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cpu: "1000m"
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requests:
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cpu: 100m
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memory: 100Mi
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initContainers:
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dbInit:
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image:
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repository: ghcr.io/onedr0p/postgres-init
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tag: "16"
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existingSecretName: immich-postgres-init-secret
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pgvecto:
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image:
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repository: tensorchord/pgvecto-rs
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tag: "pg16-v0.2.1-rootless"
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existingSecretName: immich-postgres-init-secret
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metrics:
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enabled: true
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port: 9001
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redis:
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host: dragonfly.databases.svc.cluster.local
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port: 6397
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postgres:
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host: postgres-pgvectors-rw.databases.svc.cluster.local
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