feat(server): e2e for missing jobs

e2e/docker-compose.yml

@@ -33,6 +33,28 @@ services:
     ports:
       - 2285:2285
 
+  immich-machine-learning:
+    container_name: immich-e2e-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
+    depends_on:
+      - database
+    restart: unless-stopped
+    healthcheck:
+      disable: false
+
   redis:
     image: redis:6.2-alpine@sha256:905c4ee67b8e0aa955331960d2aa745781e6bd89afc44a8584bfd13bc890f0ae
 
@@ -45,3 +67,6 @@ services:
       POSTGRES_DB: immich
     ports:
       - 5435:5432
+
+volumes:
+  model-cache:

e2e/src/api/specs/asset.e2e-spec.ts

@@ -4,7 +4,6 @@ import {
   AssetResponseDto,
   AssetTypeEnum,
   getAssetInfo,
-  getConfig,
   getMyUser,
   LoginResponseDto,
   SharedLinkType,
@@ -45,8 +44,6 @@ const locationAssetFilepath = `${testAssetDir}/metadata/gps-position/thompson-sp
 const ratingAssetFilepath = `${testAssetDir}/metadata/rating/mongolels.jpg`;
 const facesAssetFilepath = `${testAssetDir}/metadata/faces/portrait.jpg`;
 
-const getSystemConfig = (accessToken: string) => getConfig({ headers: asBearerAuth(accessToken) });
-
 const readTags = async (bytes: Buffer, filename: string) => {
   const filepath = join(tempDir, filename);
   await writeFile(filepath, bytes);
@@ -228,7 +225,7 @@ describe('/asset', () => {
     });
 
     it('should get the asset faces', async () => {
-      const config = await getSystemConfig(admin.accessToken);
+      const config = await utils.getSystemConfig(admin.accessToken);
       config.metadata.faces.import = true;
       await updateConfig({ systemConfigDto: config }, { headers: asBearerAuth(admin.accessToken) });