update api

update sql
better typing
2024-03-24 02:56:49 -04:00 · 2024-03-24 02:50:08 -04:00 · 2024-03-24 02:49:56 -04:00 · 2024-03-24 02:31:03 -04:00 · 2024-03-24 02:28:40 -04:00 · 2024-03-24 02:16:09 -04:00
250 changed files with 4251 additions and 5427 deletions
@@ -131,10 +131,6 @@ If you feel like this is the right cause and the app is something you are seeing

 ## Star History

-<a href="https://star-history.com/#immich-app/immich&Date">
- <picture>
-   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=immich-app/immich&type=Date&theme=dark" />
-   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=immich-app/immich&type=Date" />
-   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=immich-app/immich&type=Date" width="100%" />
- </picture>
+<a href="https://star-history.com/#immich-app/immich">
+  <img src="https://api.star-history.com/svg?repos=immich-app/immich&type=Date" alt="Star History Chart" width="100%" />
 </a>
@@ -1,12 +1,12 @@
 {
  "name": "@immich/cli",
-  "version": "2.2.0",
+  "version": "2.1.0",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@immich/cli",
-      "version": "2.2.0",
+      "version": "2.1.0",
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
        "lodash-es": "^4.17.21"
@@ -47,7 +47,7 @@
    },
    "../open-api/typescript-sdk": {
      "name": "@immich/sdk",
-      "version": "1.100.0",
+      "version": "1.99.0",
      "dev": true,
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
@@ -300,9 +300,9 @@
      "dev": true
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@@ -316,9 +316,9 @@
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@@ -332,9 +332,9 @@
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@@ -348,9 +348,9 @@
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@@ -364,9 +364,9 @@
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+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.19.12.tgz",
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@@ -380,9 +380,9 @@
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@@ -396,9 +396,9 @@
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@@ -412,9 +412,9 @@
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+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.19.12.tgz",
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@@ -428,9 +428,9 @@
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-      "integrity": "sha512-VhLPeR8HTMPccbuWWcEUD1Az68TqaTYyj6nfE4QByZIQEQVWBB8vup8PpR7y1QHL3CpcF6xd5WVBU/+SBEvGTg==",
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+      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.19.12.tgz",
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@@ -444,9 +444,9 @@
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@@ -460,9 +460,9 @@
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@@ -476,9 +476,9 @@
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@@ -492,9 +492,9 @@
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@@ -508,9 +508,9 @@
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@@ -524,9 +524,9 @@
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@@ -540,9 +540,9 @@
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@@ -556,9 +556,9 @@
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@@ -572,9 +572,9 @@
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    "node_modules/escalade": {
@@ -2859,14 +2858,14 @@
      }
    },
    "node_modules/istanbul-lib-source-maps": {
-      "version": "5.0.4",
-      "resolved": "https://registry.npmjs.org/istanbul-lib-source-maps/-/istanbul-lib-source-maps-5.0.4.tgz",
-      "integrity": "sha512-wHOoEsNJTVltaJp8eVkm8w+GVkVNHT2YDYo53YdzQEL2gWm1hBX5cGFR9hQJtuGLebidVX7et3+dmDZrmclduw==",
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/istanbul-lib-source-maps/-/istanbul-lib-source-maps-4.0.1.tgz",
+      "integrity": "sha512-n3s8EwkdFIJCG3BPKBYvskgXGoy88ARzvegkitk60NxRdwltLOTaH7CUiMRXvwYorl0Q712iEjcWB+fK/MrWVw==",
      "dev": true,
      "dependencies": {
-        "@jridgewell/trace-mapping": "^0.3.23",
        "debug": "^4.1.1",
-        "istanbul-lib-coverage": "^3.0.0"
+        "istanbul-lib-coverage": "^3.0.0",
+        "source-map": "^0.6.1"
      },
      "engines": {
        "node": ">=10"
@@ -3489,9 +3488,9 @@
      }
    },
    "node_modules/postcss": {
-      "version": "8.4.38",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.38.tgz",
-      "integrity": "sha512-Wglpdk03BSfXkHoQa3b/oulrotAkwrlLDRSOb9D0bN86FdRyE9lppSp33aHNPgBa0JKCoB+drFLZkQoRRYae5A==",
+      "version": "8.4.35",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.35.tgz",
+      "integrity": "sha512-u5U8qYpBCpN13BsiEB0CbR1Hhh4Gc0zLFuedrHJKMctHCHAGrMdG0PRM/KErzAL3CU6/eckEtmHNB3x6e3c0vA==",
      "dev": true,
      "funding": [
        {
@@ -3510,7 +3509,7 @@
      "dependencies": {
        "nanoid": "^3.3.7",
        "picocolors": "^1.0.0",
-        "source-map-js": "^1.2.0"
+        "source-map-js": "^1.0.2"
      },
      "engines": {
        "node": "^10 || ^12 || >=14"
@@ -3988,10 +3987,19 @@
        "node": ">=8"
      }
    },
+    "node_modules/source-map": {
+      "version": "0.6.1",
+      "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
+      "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
+      "dev": true,
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
    "node_modules/source-map-js": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.0.tgz",
-      "integrity": "sha512-itJW8lvSA0TXEphiRoawsCksnlf8SyvmFzIhltqAHluXd88pkCd+cXJVHTDwdCr0IzwptSm035IHQktUu1QUMg==",
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.0.2.tgz",
+      "integrity": "sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==",
      "dev": true,
      "engines": {
        "node": ">=0.10.0"
@@ -4368,9 +4376,9 @@
      }
    },
    "node_modules/typescript": {
-      "version": "5.4.3",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.3.tgz",
-      "integrity": "sha512-KrPd3PKaCLr78MalgiwJnA25Nm8HAmdwN3mYUYZgG/wizIo9EainNVQI9/yDavtVFRN2h3k8uf3GLHuhDMgEHg==",
+      "version": "5.4.2",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.2.tgz",
+      "integrity": "sha512-+2/g0Fds1ERlP6JsakQQDXjZdZMM+rqpamFZJEKh4kwTIn3iDkgKtby0CeNd5ATNZ4Ry1ax15TMx0W2V+miizQ==",
      "dev": true,
      "bin": {
        "tsc": "bin/tsc",
@@ -4456,14 +4464,14 @@
      }
    },
    "node_modules/vite": {
-      "version": "5.2.3",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-5.2.3.tgz",
-      "integrity": "sha512-+i1oagbvkVIhEy9TnEV+fgXsng13nZM90JQbrcPrf6DvW2mXARlz+DK7DLiDP+qeKoD1FCVx/1SpFL1CLq9Mhw==",
+      "version": "5.1.6",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-5.1.6.tgz",
+      "integrity": "sha512-yYIAZs9nVfRJ/AiOLCA91zzhjsHUgMjB+EigzFb6W2XTLO8JixBCKCjvhKZaye+NKYHCrkv3Oh50dH9EdLU2RA==",
      "dev": true,
      "dependencies": {
-        "esbuild": "^0.20.1",
-        "postcss": "^8.4.36",
-        "rollup": "^4.13.0"
+        "esbuild": "^0.19.3",
+        "postcss": "^8.4.35",
+        "rollup": "^4.2.0"
      },
      "bin": {
        "vite": "bin/vite.js"
@@ -4511,9 +4519,9 @@
      }
    },
    "node_modules/vite-node": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-1.4.0.tgz",
-      "integrity": "sha512-VZDAseqjrHgNd4Kh8icYHWzTKSCZMhia7GyHfhtzLW33fZlG9SwsB6CEhgyVOWkJfJ2pFLrp/Gj1FSfAiqH9Lw==",
+      "version": "1.3.1",
+      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-1.3.1.tgz",
+      "integrity": "sha512-azbRrqRxlWTJEVbzInZCTchx0X69M/XPTCz4H+TLvlTcR/xH/3hkRqhOakT41fMJCMzXTu4UvegkZiEoJAWvng==",
      "dev": true,
      "dependencies": {
        "cac": "^6.7.14",
@@ -4552,16 +4560,16 @@
      }
    },
    "node_modules/vitest": {
-      "version": "1.4.0",
-      "resolved": "https://registry.npmjs.org/vitest/-/vitest-1.4.0.tgz",
-      "integrity": "sha512-gujzn0g7fmwf83/WzrDTnncZt2UiXP41mHuFYFrdwaLRVQ6JYQEiME2IfEjU3vcFL3VKa75XhI3lFgn+hfVsQw==",
+      "version": "1.3.1",
+      "resolved": "https://registry.npmjs.org/vitest/-/vitest-1.3.1.tgz",
+      "integrity": "sha512-/1QJqXs8YbCrfv/GPQ05wAZf2eakUPLPa18vkJAKE7RXOKfVHqMZZ1WlTjiwl6Gcn65M5vpNUB6EFLnEdRdEXQ==",
      "dev": true,
      "dependencies": {
-        "@vitest/expect": "1.4.0",
-        "@vitest/runner": "1.4.0",
-        "@vitest/snapshot": "1.4.0",
-        "@vitest/spy": "1.4.0",
-        "@vitest/utils": "1.4.0",
+        "@vitest/expect": "1.3.1",
+        "@vitest/runner": "1.3.1",
+        "@vitest/snapshot": "1.3.1",
+        "@vitest/spy": "1.3.1",
+        "@vitest/utils": "1.3.1",
        "acorn-walk": "^8.3.2",
        "chai": "^4.3.10",
        "debug": "^4.3.4",
@@ -4575,7 +4583,7 @@
        "tinybench": "^2.5.1",
        "tinypool": "^0.8.2",
        "vite": "^5.0.0",
-        "vite-node": "1.4.0",
+        "vite-node": "1.3.1",
        "why-is-node-running": "^2.2.2"
      },
      "bin": {
@@ -4590,8 +4598,8 @@
      "peerDependencies": {
        "@edge-runtime/vm": "*",
        "@types/node": "^18.0.0 || >=20.0.0",
-        "@vitest/browser": "1.4.0",
-        "@vitest/ui": "1.4.0",
+        "@vitest/browser": "1.3.1",
+        "@vitest/ui": "1.3.1",
        "happy-dom": "*",
        "jsdom": "*"
      },
@@ -1,6 +1,6 @@
 {
  "name": "@immich/cli",
-  "version": "2.2.0",
+  "version": "2.1.0",
  "description": "Command Line Interface (CLI) for Immich",
  "type": "module",
  "exports": "./dist/index.js",
@@ -1,24 +1,15 @@
-import { getAssetStatistics, getMyUserInfo, getServerVersion, getSupportedMediaTypes } from '@immich/sdk';
+import { getAssetStatistics, getServerVersion, getSupportedMediaTypes } from '@immich/sdk';
 import { BaseOptions, authenticate } from 'src/utils';

 export const serverInfo = async (options: BaseOptions) => {
-  const { url } = await authenticate(options);
+  await authenticate(options);

-  const [versionInfo, mediaTypes, stats, userInfo] = await Promise.all([
-    getServerVersion(),
-    getSupportedMediaTypes(),
-    getAssetStatistics({}),
-    getMyUserInfo(),
-  ]);
+  const versionInfo = await getServerVersion();
+  const mediaTypes = await getSupportedMediaTypes();
+  const stats = await getAssetStatistics({});

-  console.log(`Server Info (via ${userInfo.email})`);
-  console.log(`  Url: ${url}`);
-  console.log(`  Version: ${versionInfo.major}.${versionInfo.minor}.${versionInfo.patch}`);
-  console.log(`  Formats:`);
-  console.log(`    Images: ${mediaTypes.image.map((extension) => extension.replace('.', ''))}`);
-  console.log(`    Videos: ${mediaTypes.video.map((extension) => extension.replace('.', ''))}`);
-  console.log(`  Statistics:`);
-  console.log(`    Images: ${stats.images}`);
-  console.log(`    Videos: ${stats.videos}`);
-  console.log(`    Total: ${stats.total}`);
+  console.log(`Server Version: ${versionInfo.major}.${versionInfo.minor}.${versionInfo.patch}`);
+  console.log(`Image Types: ${mediaTypes.image.map((extension) => extension.replace('.', ''))}`);
+  console.log(`Video Types: ${mediaTypes.video.map((extension) => extension.replace('.', ''))}`);
+  console.log(`Statistics:\n  Images: ${stats.images}\n  Videos: ${stats.videos}\n  Total: ${stats.total}`);
 };
@@ -15,25 +15,21 @@ export interface BaseOptions {
 export type AuthDto = { url: string; key: string };
 type OldAuthDto = { instanceUrl: string; apiKey: string };

-export const authenticate = async (options: BaseOptions): Promise<AuthDto> => {
+export const authenticate = async (options: BaseOptions): Promise<void> => {
  const { configDirectory: configDir, url, key } = options;

  // provided in command
  if (url && key) {
-    return connect(url, key);
+    await connect(url, key);
+    return;
  }

  // fallback to auth file
  const config = await readAuthFile(configDir);
-  const auth = await connect(config.url, config.key);
-  if (auth.url !== config.url) {
-    await writeAuthFile(configDir, auth);
-  }
-
-  return auth;
+  await connect(config.url, config.key);
 };

-export const connect = async (url: string, key: string) => {
+export const connect = async (url: string, key: string): Promise<void> => {
  const wellKnownUrl = new URL('.well-known/immich', url);
  try {
    const wellKnown = await fetch(wellKnownUrl).then((response) => response.json());
@@ -54,8 +50,6 @@ export const connect = async (url: string, key: string) => {
    logError(error, 'Failed to connect to server');
    process.exit(1);
  }
-
-  return { url, key };
 };

 export const logError = (error: unknown, message: string) => {
@@ -2,6 +2,8 @@
 # - https://immich.app/docs/developer/setup
 # - https://immich.app/docs/developer/troubleshooting

+version: '3.8'
+
 name: immich-dev

 x-server-build: &server-common
@@ -1,3 +1,5 @@
+version: '3.8'
+
 name: immich-prod

 x-server-build: &server-common
@@ -1,3 +1,5 @@
+version: '3.8'
+
 #
 # WARNING: Make sure to use the docker-compose.yml of the current release:
 #
@@ -20,7 +20,7 @@ The recommended way to backup and restore the Immich database is to use the `pg_
 <Tabs>
  <TabItem value="Linux system based Backup" label="Linux system based Backup" default>

-```bash title='Backup'
+```bash title='Bash'
 docker exec -t immich_postgres pg_dumpall -c -U postgres | gzip > "/path/to/backup/dump.sql.gz"
 ```

@@ -1,54 +0,0 @@
-# Preparing a pre-existing Postgres server
-
-While not officially recommended, it is possible to run Immich using a pre-existing Postgres server. To use this setup, you should have a baseline level of familiarity with Postgres and the Linux command line. If you do not have these, we recommend using the default setup with a dedicated Postgres container.
-
-By default, Immich expects superuser permission on the Postgres database and requires certain extensions to be installed. This guide outlines the steps required to prepare a pre-existing Postgres server to be used by Immich.
-
-:::tip
-Running with a pre-existing Postgres server can unlock powerful administrative features, including logical replication, data page checksums, and streaming write-ahead log backups using programs like pgBackRest or Barman.
-:::
-
-## Prerequisites
-
-You must install pgvecto.rs using their [instructions](https://docs.pgvecto.rs/getting-started/installation.html). After installation, add `shared_preload_libraries = 'vectors.so'` to your `postgresql.conf`. If you already have some `shared_preload_libraries` set, you can separate each extension with a comma. For example, `shared_preload_libraries = 'pg_stat_statements, vectors.so'`.
-
-:::note
-Make sure the installed version of pgvecto.rs is compatible with your version of Immich. For example, if your Immich version uses the dedicated database image `tensorchord/pgvecto-rs:pg14-v0.2.1`, you must install pgvecto.rs `>= 0.2.1, < 0.3.0`.
-:::
-
-## Specifying the connection URL
-
-You can connect to your pre-existing Postgres server by setting the `DB_URL` environment variable in the `.env` file.
-
-```
-DB_URL='postgresql://immichdbusername:immichdbpassword@postgreshost:postgresport/immichdatabasename'
-
-# require a SSL connection to Postgres
-# DB_URL='postgresql://immichdbusername:immichdbpassword@postgreshost:postgresport/immichdatabasename?sslmode=require'
-
-# require a SSL connection, but don't enforce checking the certificate name
-# DB_URL='postgresql://immichdbusername:immichdbpassword@postgreshost:postgresport/immichdatabasename?sslmode=require&sslmode=no-verify'
-```
-
-## Without superuser permissions
-
-### Initial installation
-
-Immich can run without superuser permissions by following the below instructions at the `psql` prompt to prepare the database.
-
-```sql title="Set up Postgres for Immich"
-CREATE DATABASE <immichdatabasename>;
-\c <immichdatabasename>
-BEGIN;
-ALTER DATABASE <immichdatabasename> OWNER TO <immichdbusername>;
-CREATE EXTENSION vectors;
-CREATE EXTENSION earthdistance CASCADE;
-ALTER DATABASE <immichdatabasename> SET search_path TO "$user", public, vectors;
-GRANT USAGE ON SCHEMA vectors TO <immichdbusername>;
-GRANT SELECT ON TABLE pg_vector_index_stat to <immichdbusername>;
-COMMIT;
-```
-
-### Updating pgvecto.rs
-
-When installing a new version of pgvecto.rs, you will need to manually update the extension by connecting to the Immich database and running `ALTER EXTENSION vectors UPDATE;`.
@@ -1,41 +1,29 @@
 # Reverse Proxy

-Users can deploy a custom reverse proxy that forwards requests to Immich. This way, the reverse proxy can handle TLS termination, load balancing, or other advanced features. All reverse proxies between Immich and the user must forward all headers and set the `Host`, `X-Real-IP`, `X-Forwarded-Proto` and `X-Forwarded-For` headers to their appropriate values. Additionally, your reverse proxy should allow for big enough uploads. By following these practices, you ensure that all custom reverse proxies are fully compatible with Immich.
-
-:::note
-The Repair page can take a long time to load. To avoid server timeouts or errors, we recommend specifying a timeout of at least 10 minutes on your proxy server.
-:::
+Users can deploy a custom reverse proxy that forwards requests to Immich. This way, the reverse proxy can handle TLS termination, load balancing, or other advanced features. All reverse proxies between Immich and the user must forward all headers and set the `Host`, `X-Forwarded-Host`, `X-Forwarded-Proto` and `X-Forwarded-For` headers to their appropriate values. Additionally, your reverse proxy should allow for big enough uploads. By following these practices, you ensure that all custom reverse proxies are fully compatible with Immich.

 ### Nginx example config

-Below is an example config for nginx. Make sure to set `public_url` to the front-facing URL of your instance, and `backend_url` to the path of the Immich server.
+Below is an example config for nginx. Make sure to include `client_max_body_size 50000M;` also in a `http` block in `/etc/nginx/nginx.conf`.

 ```nginx
 server {
-    server_name <public_url>;
+    server_name <snip>

-    # allow large file uploads
    client_max_body_size 50000M;

-    # Set headers
-    proxy_set_header Host              $http_host;
-    proxy_set_header X-Real-IP         $remote_addr;
-    proxy_set_header X-Forwarded-For   $proxy_add_x_forwarded_for;
-    proxy_set_header X-Forwarded-Proto $scheme;
-
-    # enable websockets: http://nginx.org/en/docs/http/websocket.html
-    proxy_http_version 1.1;
-    proxy_set_header   Upgrade    $http_upgrade;
-    proxy_set_header   Connection "upgrade";
-    proxy_redirect     off;
-
-    # set timeout
-    proxy_read_timeout 600s;
-    proxy_send_timeout 600s;
-    send_timeout       600s;
-
    location / {
-        proxy_pass http://<backend_url>:2283;
+        proxy_pass http://<snip>:2283;
+        proxy_set_header Host              $http_host;
+        proxy_set_header X-Real-IP         $remote_addr;
+        proxy_set_header X-Forwarded-For   $proxy_add_x_forwarded_for;
+        proxy_set_header X-Forwarded-Proto $scheme;
+
+        # http://nginx.org/en/docs/http/websocket.html
+        proxy_http_version 1.1;
+        proxy_set_header   Upgrade    $http_upgrade;
+        proxy_set_header   Connection "upgrade";
+        proxy_redirect off;
    }
 }
 ```
@@ -54,13 +42,15 @@ immich.example.org {

 Below is an example config for Apache2 site configuration.

-```ApacheConf
+```
 <VirtualHost *:80>
   ServerName <snip>
   ProxyRequests Off
-   # set timeout in seconds
   ProxyPass / http://127.0.0.1:2283/ timeout=600 upgrade=websocket
   ProxyPassReverse / http://127.0.0.1:2283/
   ProxyPreserveHost On
+
 </VirtualHost>
 ```
+
+**timeout:** is measured in seconds, and it is particularly useful when long operations are triggered (i.e. Repair), so the server doesn't return an error.
@@ -6,7 +6,7 @@ Immich can ingest XMP sidecars on file upload (via the CLI) as well as detect ne

 XMP sidecars are external XML files that contain metadata related to media files. Many applications read and write these files either exclusively or in addition to the metadata written to image files. They can be a powerful tool for editing and storing metadata of a media file without modifying the media file itself. When Immich receives or detects an XMP sidecar for a media file, it will attempt to extract the metadata from both the sidecar as well as the media file. It will prioritize the metadata for fields in the sidecar but will fall back and use the metadata in the media file if necessary.

-When importing files via the CLI bulk uploader or parsing photo metadata for external libraries, Immich will automatically detect XMP sidecar files as files that exist next to the original media file. Immich will look files that have the same name as the photo, but with the `.xmp` file extension. The same name can either include the photo's file extension or without the photo's file extension. For example, for a photo named `PXL_20230401_203352928.MP.jpg`, Immich will look for an XMP file named either `PXL_20230401_203352928.MP.jpg.xmp` or `PXL_20230401_203352928.MP.xmp`. If both `PXL_20230401_203352928.MP.jpg.xmp` and `PXL_20230401_203352928.MP.xmp` are present, Immich will prefer `PXL_20230401_203352928.MP.jpg.xmp`.
+When importing files via the CLI bulk uploader, Immich will automatically detect XMP sidecar files as files that exist next to the original media file and have the exact same name with an additional `.xmp` file extension (i.e., `PXL_20230401_203352928.MP.jpg` and `PXL_20230401_203352928.MP.jpg.xmp`).

 There are 2 administrator jobs associated with sidecar files: `SYNC` and `DISCOVER`. The sync job will re-scan all media with existing sidecar files and queue them for a metadata refresh. This is a great use case when third-party applications are used to modify the metadata of media. The discover job will attempt to scan the filesystem for new sidecar files for all media that does not currently have a sidecar file associated with it.

@@ -45,7 +45,7 @@ SELECT * FROM "assets" JOIN "exif" ON "assets"."id" = "exif"."assetId" WHERE "ex
 ```

 ```sql title="Without thumbnails"
-SELECT * FROM "assets" WHERE "assets"."resizePath" IS NULL OR "assets"."webpPath" IS NULL;
+SELECT * FROM "assets" WHERE "assets"."previewPath" IS NULL OR "assets"."thumbnailPath" IS NULL;
 ```

 ```sql title="By type"
@@ -56,4 +56,4 @@ A remote reverse proxy like [Cloudflare](https://www.cloudflare.com/learning/cdn
 ### Cons

 - Complex configuration
- Depending on your configuration, both the Immich web interface and API may be exposed to the internet. Immich is under very active development and the existence of severe security vulnerabilities cannot be ruled out.
+- Depending on your configuration, both the Immich web interface and API may be exposed to the internet. Immich is under very active developement and the existence of severe security vulnerabilities cannot be ruled out.
@@ -115,8 +115,10 @@ The default configuration looks like this:
    "template": "{{y}}/{{y}}-{{MM}}-{{dd}}/{{filename}}"
  },
  "thumbnail": {
-    "webpSize": 250,
-    "jpegSize": 1440,
+    "thumbnailFormat": "webp",
+    "thumbnailSize": 250,
+    "previewFormat": "jpeg",
+    "previewSize": 1440,
    "quality": 80,
    "colorspace": "p3"
  },
@@ -21,7 +21,7 @@ cd ./immich-app
 Download [`docker-compose.yml`][compose-file] and [`example.env`][env-file], either by running the following commands:

 ```bash title="Get docker-compose.yml file"
-wget -O docker-compose.yml https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
+wget https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
 ```

 ```bash title="Get .env file"
@@ -29,11 +29,11 @@ wget -O .env https://github.com/immich-app/immich/releases/latest/download/examp
 ```

 ```bash title="(Optional) Get hwaccel.transcoding.yml file"
-wget -O hwaccel.transcoding.yml https://github.com/immich-app/immich/releases/latest/download/hwaccel.transcoding.yml
+wget https://github.com/immich-app/immich/releases/latest/download/hwaccel.transcoding.yml
 ```

 ```bash title="(Optional) Get hwaccel.ml.yml file"
-wget -O hwaccel.ml.yml https://github.com/immich-app/immich/releases/latest/download/hwaccel.ml.yml
+wget https://github.com/immich-app/immich/releases/latest/download/hwaccel.ml.yml
 ```

 or by downloading from your browser and moving the files to the directory that you created.
@@ -41,9 +41,11 @@ These environment variables are used by the `docker-compose.yml` file and do **N
 | `IMMICH_REVERSE_GEOCODING_ROOT` | Path of reverse geocoding dump directory     | `/usr/src/resources` | microservices                                |

 :::tip
-`TZ` should be set to a `TZ identifier` from [this list](https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List). For example, `TZ="Etc/UTC"`.

-`TZ` is only used by `exiftool`, which is present in the microservices container, as a fallback in case the timezone cannot be determined from the image metadata.
+`TZ` is only used by the `exiftool` as a fallback in case the timezone cannot be determined from the image metadata.
+
+`exiftool` is only present in the microservices container.
+
 :::

 ## Ports
@@ -4264,9 +4264,9 @@
      }
    },
    "node_modules/autoprefixer": {
-      "version": "10.4.19",
-      "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.19.tgz",
-      "integrity": "sha512-BaENR2+zBZ8xXhM4pUaKUxlVdxZ0EZhjvbopwnXmxRUfqDmwSpC2lAi/QXvx7NRdPCo1WKEcEF6mV64si1z4Ew==",
+      "version": "10.4.18",
+      "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.18.tgz",
+      "integrity": "sha512-1DKbDfsr6KUElM6wg+0zRNkB/Q7WcKYAaK+pzXn+Xqmszm/5Xa9coeNdtP88Vi+dPzZnMjhge8GIV49ZQkDa+g==",
      "funding": [
        {
          "type": "opencollective",
@@ -4283,7 +4283,7 @@
      ],
      "dependencies": {
        "browserslist": "^4.23.0",
-        "caniuse-lite": "^1.0.30001599",
+        "caniuse-lite": "^1.0.30001591",
        "fraction.js": "^4.3.7",
        "normalize-range": "^0.1.2",
        "picocolors": "^1.0.0",
@@ -4728,9 +4728,9 @@
      }
    },
    "node_modules/caniuse-lite": {
-      "version": "1.0.30001600",
-      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001600.tgz",
-      "integrity": "sha512-+2S9/2JFhYmYaDpZvo0lKkfvuKIglrx68MwOBqMGHhQsNkLjB5xtc/TGoEPs+MxjSyN/72qer2g97nzR641mOQ==",
+      "version": "1.0.30001597",
+      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001597.tgz",
+      "integrity": "sha512-7LjJvmQU6Sj7bL0j5b5WY/3n7utXUJvAe1lxhsHDbLmwX9mdL86Yjtr+5SRCyf8qME4M7pU2hswj0FpyBVCv9w==",
      "funding": [
        {
          "type": "opencollective",
@@ -12691,9 +12691,9 @@
      }
    },
    "node_modules/postcss": {
-      "version": "8.4.38",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.38.tgz",
-      "integrity": "sha512-Wglpdk03BSfXkHoQa3b/oulrotAkwrlLDRSOb9D0bN86FdRyE9lppSp33aHNPgBa0JKCoB+drFLZkQoRRYae5A==",
+      "version": "8.4.35",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.35.tgz",
+      "integrity": "sha512-u5U8qYpBCpN13BsiEB0CbR1Hhh4Gc0zLFuedrHJKMctHCHAGrMdG0PRM/KErzAL3CU6/eckEtmHNB3x6e3c0vA==",
      "funding": [
        {
          "type": "opencollective",
@@ -12711,7 +12711,7 @@
      "dependencies": {
        "nanoid": "^3.3.7",
        "picocolors": "^1.0.0",
-        "source-map-js": "^1.2.0"
+        "source-map-js": "^1.0.2"
      },
      "engines": {
        "node": "^10 || ^12 || >=14"
@@ -15295,9 +15295,9 @@
      }
    },
    "node_modules/source-map-js": {
-      "version": "1.2.0",
-      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.0.tgz",
-      "integrity": "sha512-itJW8lvSA0TXEphiRoawsCksnlf8SyvmFzIhltqAHluXd88pkCd+cXJVHTDwdCr0IzwptSm035IHQktUu1QUMg==",
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.0.2.tgz",
+      "integrity": "sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==",
      "engines": {
        "node": ">=0.10.0"
      }
@@ -16141,9 +16141,9 @@
      }
    },
    "node_modules/typescript": {
-      "version": "5.4.3",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.3.tgz",
-      "integrity": "sha512-KrPd3PKaCLr78MalgiwJnA25Nm8HAmdwN3mYUYZgG/wizIo9EainNVQI9/yDavtVFRN2h3k8uf3GLHuhDMgEHg==",
+      "version": "5.4.2",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.2.tgz",
+      "integrity": "sha512-+2/g0Fds1ERlP6JsakQQDXjZdZMM+rqpamFZJEKh4kwTIn3iDkgKtby0CeNd5ATNZ4Ry1ax15TMx0W2V+miizQ==",
      "bin": {
        "tsc": "bin/tsc",
        "tsserver": "bin/tsserver"
@@ -1,12 +1,12 @@
 {
  "name": "immich-e2e",
-  "version": "1.100.0",
+  "version": "1.99.0",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "immich-e2e",
-      "version": "1.100.0",
+      "version": "1.99.0",
      "license": "GNU Affero General Public License version 3",
      "devDependencies": {
        "@immich/cli": "file:../cli",
@@ -38,7 +38,7 @@
    },
    "../cli": {
      "name": "@immich/cli",
-      "version": "2.2.0",
+      "version": "2.1.0",
      "dev": true,
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
@@ -80,7 +80,7 @@
    },
    "../open-api/typescript-sdk": {
      "name": "@immich/sdk",
-      "version": "1.100.0",
+      "version": "1.99.0",
      "dev": true,
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
@@ -1158,9 +1158,9 @@
      "dev": true
    },
    "node_modules/@types/node": {
-      "version": "20.11.30",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.30.tgz",
-      "integrity": "sha512-dHM6ZxwlmuZaRmUPfv1p+KrdD1Dci04FbdEm/9wEMouFqxYoFl5aMkt0VMAUtYRQDyYvD41WJLukhq/ha3YuTw==",
+      "version": "20.11.28",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.28.tgz",
+      "integrity": "sha512-M/GPWVS2wLkSkNHVeLkrF2fD5Lx5UC4PxA0uZcKc6QqbIQUJyW1jVjueJYi1z8n0I5PxYrtpnPnWglE+y9A0KA==",
      "dev": true,
      "dependencies": {
        "undici-types": "~5.26.4"
@@ -1173,9 +1173,9 @@
      "dev": true
    },
    "node_modules/@types/pg": {
-      "version": "8.11.4",
-      "resolved": "https://registry.npmjs.org/@types/pg/-/pg-8.11.4.tgz",
-      "integrity": "sha512-yw3Bwbda6vO+NvI1Ue/YKOwtl31AYvvd/e73O3V4ZkNzuGpTDndLSyc0dQRB2xrQqDePd20pEGIfqSp/GH3pRw==",
+      "version": "8.11.2",
+      "resolved": "https://registry.npmjs.org/@types/pg/-/pg-8.11.2.tgz",
+      "integrity": "sha512-G2Mjygf2jFMU/9hCaTYxJrwdObdcnuQde1gndooZSOHsNSaCehAuwc7EIuSA34Do8Jx2yZ19KtvW8P0j4EuUXw==",
      "dev": true,
      "dependencies": {
        "@types/node": "*",
@@ -1277,16 +1277,16 @@
      }
    },
    "node_modules/@typescript-eslint/eslint-plugin": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-7.3.1.tgz",
-      "integrity": "sha512-STEDMVQGww5lhCuNXVSQfbfuNII5E08QWkvAw5Qwf+bj2WT+JkG1uc+5/vXA3AOYMDHVOSpL+9rcbEUiHIm2dw==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-7.2.0.tgz",
+      "integrity": "sha512-mdekAHOqS9UjlmyF/LSs6AIEvfceV749GFxoBAjwAv0nkevfKHWQFDMcBZWUiIC5ft6ePWivXoS36aKQ0Cy3sw==",
      "dev": true,
      "dependencies": {
        "@eslint-community/regexpp": "^4.5.1",
-        "@typescript-eslint/scope-manager": "7.3.1",
-        "@typescript-eslint/type-utils": "7.3.1",
-        "@typescript-eslint/utils": "7.3.1",
-        "@typescript-eslint/visitor-keys": "7.3.1",
+        "@typescript-eslint/scope-manager": "7.2.0",
+        "@typescript-eslint/type-utils": "7.2.0",
+        "@typescript-eslint/utils": "7.2.0",
+        "@typescript-eslint/visitor-keys": "7.2.0",
        "debug": "^4.3.4",
        "graphemer": "^1.4.0",
        "ignore": "^5.2.4",
@@ -1295,7 +1295,7 @@
        "ts-api-utils": "^1.0.1"
      },
      "engines": {
-        "node": "^18.18.0 || >=20.0.0"
+        "node": "^16.0.0 || >=18.0.0"
      },
      "funding": {
        "type": "opencollective",
@@ -1312,19 +1312,19 @@
      }
    },
    "node_modules/@typescript-eslint/parser": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/parser/-/parser-7.3.1.tgz",
-      "integrity": "sha512-Rq49+pq7viTRCH48XAbTA+wdLRrB/3sRq4Lpk0oGDm0VmnjBrAOVXH/Laalmwsv2VpekiEfVFwJYVk6/e8uvQw==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/parser/-/parser-7.2.0.tgz",
+      "integrity": "sha512-5FKsVcHTk6TafQKQbuIVkXq58Fnbkd2wDL4LB7AURN7RUOu1utVP+G8+6u3ZhEroW3DF6hyo3ZEXxgKgp4KeCg==",
      "dev": true,
      "dependencies": {
-        "@typescript-eslint/scope-manager": "7.3.1",
-        "@typescript-eslint/types": "7.3.1",
-        "@typescript-eslint/typescript-estree": "7.3.1",
-        "@typescript-eslint/visitor-keys": "7.3.1",
+        "@typescript-eslint/scope-manager": "7.2.0",
+        "@typescript-eslint/types": "7.2.0",
+        "@typescript-eslint/typescript-estree": "7.2.0",
+        "@typescript-eslint/visitor-keys": "7.2.0",
        "debug": "^4.3.4"
      },
      "engines": {
-        "node": "^18.18.0 || >=20.0.0"
+        "node": "^16.0.0 || >=18.0.0"
      },
      "funding": {
        "type": "opencollective",
@@ -1340,16 +1340,16 @@
      }
    },
    "node_modules/@typescript-eslint/scope-manager": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-7.3.1.tgz",
-      "integrity": "sha512-fVS6fPxldsKY2nFvyT7IP78UO1/I2huG+AYu5AMjCT9wtl6JFiDnsv4uad4jQ0GTFzcUV5HShVeN96/17bTBag==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-7.2.0.tgz",
+      "integrity": "sha512-Qh976RbQM/fYtjx9hs4XkayYujB/aPwglw2choHmf3zBjB4qOywWSdt9+KLRdHubGcoSwBnXUH2sR3hkyaERRg==",
      "dev": true,
      "dependencies": {
-        "@typescript-eslint/types": "7.3.1",
-        "@typescript-eslint/visitor-keys": "7.3.1"
+        "@typescript-eslint/types": "7.2.0",
+        "@typescript-eslint/visitor-keys": "7.2.0"
      },
      "engines": {
-        "node": "^18.18.0 || >=20.0.0"
+        "node": "^16.0.0 || >=18.0.0"
      },
      "funding": {
        "type": "opencollective",
@@ -1357,18 +1357,18 @@
      }
    },
    "node_modules/@typescript-eslint/type-utils": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-7.3.1.tgz",
-      "integrity": "sha512-iFhaysxFsMDQlzJn+vr3OrxN8NmdQkHks4WaqD4QBnt5hsq234wcYdyQ9uquzJJIDAj5W4wQne3yEsYA6OmXGw==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-7.2.0.tgz",
+      "integrity": "sha512-xHi51adBHo9O9330J8GQYQwrKBqbIPJGZZVQTHHmy200hvkLZFWJIFtAG/7IYTWUyun6DE6w5InDReePJYJlJA==",
      "dev": true,
      "dependencies": {
-        "@typescript-eslint/typescript-estree": "7.3.1",
-        "@typescript-eslint/utils": "7.3.1",
+        "@typescript-eslint/typescript-estree": "7.2.0",
+        "@typescript-eslint/utils": "7.2.0",
        "debug": "^4.3.4",
        "ts-api-utils": "^1.0.1"
      },
      "engines": {
-        "node": "^18.18.0 || >=20.0.0"
+        "node": "^16.0.0 || >=18.0.0"
      },
      "funding": {
        "type": "opencollective",
@@ -1384,12 +1384,12 @@
      }
    },
    "node_modules/@typescript-eslint/types": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/types/-/types-7.3.1.tgz",
-      "integrity": "sha512-2tUf3uWggBDl4S4183nivWQ2HqceOZh1U4hhu4p1tPiIJoRRXrab7Y+Y0p+dozYwZVvLPRI6r5wKe9kToF9FIw==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/types/-/types-7.2.0.tgz",
+      "integrity": "sha512-XFtUHPI/abFhm4cbCDc5Ykc8npOKBSJePY3a3s+lwumt7XWJuzP5cZcfZ610MIPHjQjNsOLlYK8ASPaNG8UiyA==",
      "dev": true,
      "engines": {
-        "node": "^18.18.0 || >=20.0.0"
+        "node": "^16.0.0 || >=18.0.0"
      },
      "funding": {
        "type": "opencollective",
@@ -1397,13 +1397,13 @@
      }
    },
    "node_modules/@typescript-eslint/typescript-estree": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-7.3.1.tgz",
-      "integrity": "sha512-tLpuqM46LVkduWP7JO7yVoWshpJuJzxDOPYIVWUUZbW+4dBpgGeUdl/fQkhuV0A8eGnphYw3pp8d2EnvPOfxmQ==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-7.2.0.tgz",
+      "integrity": "sha512-cyxS5WQQCoBwSakpMrvMXuMDEbhOo9bNHHrNcEWis6XHx6KF518tkF1wBvKIn/tpq5ZpUYK7Bdklu8qY0MsFIA==",
      "dev": true,
      "dependencies": {
-        "@typescript-eslint/types": "7.3.1",
-        "@typescript-eslint/visitor-keys": "7.3.1",
+        "@typescript-eslint/types": "7.2.0",
+        "@typescript-eslint/visitor-keys": "7.2.0",
        "debug": "^4.3.4",
        "globby": "^11.1.0",
        "is-glob": "^4.0.3",
@@ -1412,7 +1412,7 @@
        "ts-api-utils": "^1.0.1"
      },
      "engines": {
-        "node": "^18.18.0 || >=20.0.0"
+        "node": "^16.0.0 || >=18.0.0"
      },
      "funding": {
        "type": "opencollective",
@@ -1449,21 +1449,21 @@
      }
    },
    "node_modules/@typescript-eslint/utils": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-7.3.1.tgz",
-      "integrity": "sha512-jIERm/6bYQ9HkynYlNZvXpzmXWZGhMbrOvq3jJzOSOlKXsVjrrolzWBjDW6/TvT5Q3WqaN4EkmcfdQwi9tDjBQ==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-7.2.0.tgz",
+      "integrity": "sha512-YfHpnMAGb1Eekpm3XRK8hcMwGLGsnT6L+7b2XyRv6ouDuJU1tZir1GS2i0+VXRatMwSI1/UfcyPe53ADkU+IuA==",
      "dev": true,
      "dependencies": {
        "@eslint-community/eslint-utils": "^4.4.0",
        "@types/json-schema": "^7.0.12",
        "@types/semver": "^7.5.0",
-        "@typescript-eslint/scope-manager": "7.3.1",
-        "@typescript-eslint/types": "7.3.1",
-        "@typescript-eslint/typescript-estree": "7.3.1",
+        "@typescript-eslint/scope-manager": "7.2.0",
+        "@typescript-eslint/types": "7.2.0",
+        "@typescript-eslint/typescript-estree": "7.2.0",
        "semver": "^7.5.4"
      },
      "engines": {
-        "node": "^18.18.0 || >=20.0.0"
+        "node": "^16.0.0 || >=18.0.0"
      },
      "funding": {
        "type": "opencollective",
@@ -1474,16 +1474,16 @@
      }
    },
    "node_modules/@typescript-eslint/visitor-keys": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-7.3.1.tgz",
-      "integrity": "sha512-9RMXwQF8knsZvfv9tdi+4D/j7dMG28X/wMJ8Jj6eOHyHWwDW4ngQJcqEczSsqIKKjFiLFr40Mnr7a5ulDD3vmw==",
+      "version": "7.2.0",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-7.2.0.tgz",
+      "integrity": "sha512-c6EIQRHhcpl6+tO8EMR+kjkkV+ugUNXOmeASA1rlzkd8EPIriavpWoiEz1HR/VLhbVIdhqnV6E7JZm00cBDx2A==",
      "dev": true,
      "dependencies": {
-        "@typescript-eslint/types": "7.3.1",
+        "@typescript-eslint/types": "7.2.0",
        "eslint-visitor-keys": "^3.4.1"
      },
      "engines": {
-        "node": "^18.18.0 || >=20.0.0"
+        "node": "^16.0.0 || >=18.0.0"
      },
      "funding": {
        "type": "opencollective",
@@ -4790,9 +4790,9 @@
      }
    },
    "node_modules/typescript": {
-      "version": "5.4.3",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.3.tgz",
-      "integrity": "sha512-KrPd3PKaCLr78MalgiwJnA25Nm8HAmdwN3mYUYZgG/wizIo9EainNVQI9/yDavtVFRN2h3k8uf3GLHuhDMgEHg==",
+      "version": "5.4.2",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.2.tgz",
+      "integrity": "sha512-+2/g0Fds1ERlP6JsakQQDXjZdZMM+rqpamFZJEKh4kwTIn3iDkgKtby0CeNd5ATNZ4Ry1ax15TMx0W2V+miizQ==",
      "dev": true,
      "bin": {
        "tsc": "bin/tsc",
@@ -1,6 +1,6 @@
 {
  "name": "immich-e2e",
-  "version": "1.100.0",
+  "version": "1.99.0",
  "description": "",
  "main": "index.js",
  "type": "module",
@@ -5,6 +5,7 @@ import {
  LibraryResponseDto,
  LoginResponseDto,
  SharedLinkType,
+  TimeBucketSize,
  getAllLibraries,
  getAssetInfo,
  updateAssets,
@@ -941,6 +942,146 @@ describe('/asset', () => {
    });
  });

+  describe('GET /asset/time-buckets', () => {
+    it('should require authentication', async () => {
+      const { status, body } = await request(app).get('/asset/time-buckets').query({ size: TimeBucketSize.Month });
+      expect(status).toBe(401);
+      expect(body).toEqual(errorDto.unauthorized);
+    });
+
+    it('should get time buckets by month', async () => {
+      const { status, body } = await request(app)
+        .get('/asset/time-buckets')
+        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
+        .query({ size: TimeBucketSize.Month });
+
+      expect(status).toBe(200);
+      expect(body).toEqual(
+        expect.arrayContaining([
+          { count: 3, timeBucket: '1970-02-01T00:00:00.000Z' },
+          { count: 1, timeBucket: '1970-01-01T00:00:00.000Z' },
+        ]),
+      );
+    });
+
+    it('should not allow access for unrelated shared links', async () => {
+      const sharedLink = await utils.createSharedLink(user1.accessToken, {
+        type: SharedLinkType.Individual,
+        assetIds: user1Assets.map(({ id }) => id),
+      });
+
+      const { status, body } = await request(app)
+        .get('/asset/time-buckets')
+        .query({ key: sharedLink.key, size: TimeBucketSize.Month });
+
+      expect(status).toBe(400);
+      expect(body).toEqual(errorDto.noPermission);
+    });
+
+    it('should get time buckets by day', async () => {
+      const { status, body } = await request(app)
+        .get('/asset/time-buckets')
+        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
+        .query({ size: TimeBucketSize.Day });
+
+      expect(status).toBe(200);
+      expect(body).toEqual([
+        { count: 2, timeBucket: '1970-02-11T00:00:00.000Z' },
+        { count: 1, timeBucket: '1970-02-10T00:00:00.000Z' },
+        { count: 1, timeBucket: '1970-01-01T00:00:00.000Z' },
+      ]);
+    });
+  });
+
+  describe('GET /asset/time-bucket', () => {
+    it('should require authentication', async () => {
+      const { status, body } = await request(app).get('/asset/time-bucket').query({
+        size: TimeBucketSize.Month,
+        timeBucket: '1900-01-01T00:00:00.000Z',
+      });
+
+      expect(status).toBe(401);
+      expect(body).toEqual(errorDto.unauthorized);
+    });
+
+    it('should handle 5 digit years', async () => {
+      const { status, body } = await request(app)
+        .get('/asset/time-bucket')
+        .query({ size: TimeBucketSize.Month, timeBucket: '+012345-01-01T00:00:00.000Z' })
+        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`);
+
+      expect(status).toBe(200);
+      expect(body).toEqual([]);
+    });
+
+    // TODO enable date string validation while still accepting 5 digit years
+    // it('should fail if time bucket is invalid', async () => {
+    //   const { status, body } = await request(app)
+    //     .get('/asset/time-bucket')
+    //     .set('Authorization', `Bearer ${user1.accessToken}`)
+    //     .query({ size: TimeBucketSize.Month, timeBucket: 'foo' });
+
+    //   expect(status).toBe(400);
+    //   expect(body).toEqual(errorDto.badRequest);
+    // });
+
+    it('should return time bucket', async () => {
+      const { status, body } = await request(app)
+        .get('/asset/time-bucket')
+        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
+        .query({ size: TimeBucketSize.Month, timeBucket: '1970-02-10T00:00:00.000Z' });
+
+      expect(status).toBe(200);
+      expect(body).toEqual([]);
+    });
+
+    it('should return error if time bucket is requested with partners asset and archived', async () => {
+      const req1 = await request(app)
+        .get('/asset/time-buckets')
+        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
+        .query({ size: TimeBucketSize.Month, withPartners: true, isArchived: true });
+
+      expect(req1.status).toBe(400);
+      expect(req1.body).toEqual(errorDto.badRequest());
+
+      const req2 = await request(app)
+        .get('/asset/time-buckets')
+        .set('Authorization', `Bearer ${user1.accessToken}`)
+        .query({ size: TimeBucketSize.Month, withPartners: true, isArchived: undefined });
+
+      expect(req2.status).toBe(400);
+      expect(req2.body).toEqual(errorDto.badRequest());
+    });
+
+    it('should return error if time bucket is requested with partners asset and favorite', async () => {
+      const req1 = await request(app)
+        .get('/asset/time-buckets')
+        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
+        .query({ size: TimeBucketSize.Month, withPartners: true, isFavorite: true });
+
+      expect(req1.status).toBe(400);
+      expect(req1.body).toEqual(errorDto.badRequest());
+
+      const req2 = await request(app)
+        .get('/asset/time-buckets')
+        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
+        .query({ size: TimeBucketSize.Month, withPartners: true, isFavorite: false });
+
+      expect(req2.status).toBe(400);
+      expect(req2.body).toEqual(errorDto.badRequest());
+    });
+
+    it('should return error if time bucket is requested with partners asset and trash', async () => {
+      const req = await request(app)
+        .get('/asset/time-buckets')
+        .set('Authorization', `Bearer ${user1.accessToken}`)
+        .query({ size: TimeBucketSize.Month, withPartners: true, isTrashed: true });
+
+      expect(req.status).toBe(400);
+      expect(req.body).toEqual(errorDto.badRequest());
+    });
+  });
+
  describe('GET /asset', () => {
    it('should return stack data', async () => {
      const { status, body } = await request(app).get('/asset').set('Authorization', `Bearer ${stackUser.accessToken}`);
@@ -1,4 +1,4 @@
-import { AssetFileUploadResponseDto, LoginResponseDto, deleteAssets, updateAsset } from '@immich/sdk';
+import { AssetFileUploadResponseDto, LoginResponseDto, deleteAssets } from '@immich/sdk';
 import { DateTime } from 'luxon';
 import { readFile } from 'node:fs/promises';
 import { join } from 'node:path';
@@ -7,6 +7,7 @@ import { errorDto } from 'src/responses';
 import { app, asBearerAuth, testAssetDir, utils } from 'src/utils';
 import request from 'supertest';
 import { afterAll, beforeAll, describe, expect, it } from 'vitest';
+
 const today = DateTime.now();

 describe('/search', () => {
@@ -18,7 +19,7 @@ describe('/search', () => {
  let assetCyclamen: AssetFileUploadResponseDto;
  let assetNotocactus: AssetFileUploadResponseDto;
  let assetSilver: AssetFileUploadResponseDto;
-  let assetDensity: AssetFileUploadResponseDto;
+  // let assetDensity: AssetFileUploadResponseDto;
  // let assetPhiladelphia: AssetFileUploadResponseDto;
  // let assetOrychophragmus: AssetFileUploadResponseDto;
  // let assetRidge: AssetFileUploadResponseDto;
@@ -78,37 +79,6 @@ describe('/search', () => {
      await utils.waitForWebsocketEvent({ event: 'assetUpload', id: asset.id });
    }

-    // note: the coordinates here are not the actual coordinates of the images and are random for most of them
-    const cities = [
-      { latitude: 48.853_41, longitude: 2.3488 }, // paris
-      { latitude: 63.0695, longitude: -151.0074 }, // denali
-      { latitude: 52.524_37, longitude: 13.410_53 }, // berlin
-      { latitude: 1.314_663_1, longitude: 103.845_409_3 }, // singapore
-      { latitude: 41.013_84, longitude: 28.949_66 }, // istanbul
-      { latitude: 5.556_02, longitude: -0.1969 }, // accra
-      { latitude: 37.544_270_6, longitude: -4.727_752_8 }, // andalusia
-      { latitude: 23.133_02, longitude: -82.383_04 }, // havana
-      { latitude: 41.694_11, longitude: 44.833_68 }, // tbilisi
-      { latitude: 31.222_22, longitude: 121.458_06 }, // shanghai
-      { latitude: 47.040_57, longitude: 9.068_04 }, // glarus
-      { latitude: 38.9711, longitude: -109.7137 }, // thompson springs
-      { latitude: 40.714_27, longitude: -74.005_97 }, // new york
-      { latitude: 32.771_52, longitude: -89.116_73 }, // philadelphia
-      { latitude: 31.634_16, longitude: -7.999_94 }, // marrakesh
-      { latitude: 38.523_735_4, longitude: -78.488_619_4 }, // tanners ridge
-      { latitude: 59.938_63, longitude: 30.314_13 }, // st. petersburg
-      { latitude: 35.6895, longitude: 139.691_71 }, // tokyo
-    ];
-
-    const updates = assets.map((asset, i) =>
-      updateAsset({ id: asset.id, updateAssetDto: cities[i] }, { headers: asBearerAuth(admin.accessToken) }),
-    );
-
-    await Promise.all(updates);
-    for (const asset of assets) {
-      await utils.waitForWebsocketEvent({ event: 'assetUpdate', id: asset.id });
-    }
-
    [
      assetFalcon,
      assetDenali,
@@ -122,7 +92,7 @@ describe('/search', () => {
      assetOneJpg5,
      assetGlarus,
      assetSprings,
-      assetDensity,
+      // assetDensity,
      // assetPhiladelphia,
      // assetOrychophragmus,
      // assetRidge,
@@ -136,7 +106,7 @@ describe('/search', () => {
  });

  afterAll(async () => {
-    utils.disconnectWebsocket(websocket);
+    await utils.disconnectWebsocket(websocket);
  });

  describe('POST /search/metadata', () => {
@@ -328,15 +298,15 @@ describe('/search', () => {
      },
      {
        should: 'should search by city',
-        deferred: () => ({ dto: { city: 'Accra' }, assets: [assetHeic] }),
+        deferred: () => ({ dto: { city: 'Ralston' }, assets: [assetHeic] }),
      },
      {
        should: 'should search by state',
-        deferred: () => ({ dto: { state: 'New York' }, assets: [assetDensity] }),
+        deferred: () => ({ dto: { state: 'Douglas County, Nebraska' }, assets: [assetHeic] }),
      },
      {
        should: 'should search by country',
-        deferred: () => ({ dto: { country: 'France' }, assets: [assetFalcon] }),
+        deferred: () => ({ dto: { country: 'United States of America' }, assets: [assetHeic] }),
      },
      {
        should: 'should search by make',
@@ -400,44 +370,13 @@ describe('/search', () => {
      expect(body).toEqual(errorDto.unauthorized);
    });

-    it('should get relevant places', async () => {
-      const name = 'Paris';
-
+    it('should get places', async () => {
      const { status, body } = await request(app)
-        .get(`/search/places?name=${name}`)
+        .get('/search/places?name=Paris')
        .set('Authorization', `Bearer ${admin.accessToken}`);
-
      expect(status).toBe(200);
      expect(Array.isArray(body)).toBe(true);
-      if (Array.isArray(body)) {
-        expect(body.length).toBeGreaterThan(10);
-        expect(body[0].name).toEqual(name);
-        expect(body[0].admin2name).toEqual(name);
-      }
-    });
-  });
-
-  describe('GET /search/cities', () => {
-    it('should require authentication', async () => {
-      const { status, body } = await request(app).get('/search/cities');
-      expect(status).toBe(401);
-      expect(body).toEqual(errorDto.unauthorized);
-    });
-
-    it('should get all cities', async () => {
-      const { status, body } = await request(app)
-        .get('/search/cities')
-        .set('Authorization', `Bearer ${admin.accessToken}`);
-
-      expect(status).toBe(200);
-      expect(Array.isArray(body)).toBe(true);
-      if (Array.isArray(body)) {
-        expect(body.length).toBeGreaterThan(10);
-        const assetsWithCity = body.filter((asset) => !!asset.exifInfo?.city);
-        expect(assetsWithCity.length).toEqual(body.length);
-        const cities = new Set(assetsWithCity.map((asset) => asset.exifInfo.city));
-        expect(cities.size).toEqual(body.length);
-      }
+      expect(body.length).toBeGreaterThan(10);
    });
  });

@@ -452,21 +391,7 @@ describe('/search', () => {
      const { status, body } = await request(app)
        .get('/search/suggestions?type=country')
        .set('Authorization', `Bearer ${admin.accessToken}`);
-      expect(body).toEqual([
-        'Cuba',
-        'France',
-        'Georgia',
-        'Germany',
-        'Ghana',
-        'Japan',
-        'Morocco',
-        "People's Republic of China",
-        'Russian Federation',
-        'Singapore',
-        'Spain',
-        'Switzerland',
-        'United States of America',
-      ]);
+      expect(body).toEqual(['United States of America']);
      expect(status).toBe(200);
    });

@@ -474,23 +399,7 @@ describe('/search', () => {
      const { status, body } = await request(app)
        .get('/search/suggestions?type=state')
        .set('Authorization', `Bearer ${admin.accessToken}`);
-      expect(body).toEqual([
-        'Accra, Greater Accra',
-        'Berlin',
-        'Glarus, Glarus',
-        'Havana',
-        'Marrakech, Marrakesh-Safi',
-        'Mesa County, Colorado',
-        'Neshoba County, Mississippi',
-        'New York',
-        'Page County, Virginia',
-        'Paris, Île-de-France',
-        'Province of Córdoba, Andalusia',
-        'Shanghai Municipality, Shanghai',
-        'St.-Petersburg',
-        'Tbilisi',
-        'Tokyo',
-      ]);
+      expect(body).toEqual(['Douglas County, Nebraska', 'Mesa County, Colorado']);
      expect(status).toBe(200);
    });

@@ -498,24 +407,7 @@ describe('/search', () => {
      const { status, body } = await request(app)
        .get('/search/suggestions?type=city')
        .set('Authorization', `Bearer ${admin.accessToken}`);
-      expect(body).toEqual([
-        'Accra',
-        'Berlin',
-        'Glarus',
-        'Havana',
-        'Marrakesh',
-        'Montalbán de Córdoba',
-        'New York City',
-        'Palisade',
-        'Paris',
-        'Philadelphia',
-        'Saint Petersburg',
-        'Shanghai',
-        'Singapore',
-        'Stanley',
-        'Tbilisi',
-        'Tokyo',
-      ]);
+      expect(body).toEqual(['Palisade', 'Ralston']);
      expect(status).toBe(200);
    });

@@ -1,4 +1,4 @@
-import { AssetFileUploadResponseDto, LoginResponseDto, SharedLinkType, getConfig } from '@immich/sdk';
+import { LoginResponseDto, getConfig } from '@immich/sdk';
 import { createUserDto } from 'src/fixtures';
 import { errorDto } from 'src/responses';
 import { app, asBearerAuth, utils } from 'src/utils';
@@ -10,14 +10,11 @@ const getSystemConfig = (accessToken: string) => getConfig({ headers: asBearerAu
 describe('/system-config', () => {
  let admin: LoginResponseDto;
  let nonAdmin: LoginResponseDto;
-  let asset: AssetFileUploadResponseDto;

  beforeAll(async () => {
    await utils.resetDatabase();
    admin = await utils.adminSetup();
    nonAdmin = await utils.userSetup(admin.accessToken, createUserDto.user1);
-
-    asset = await utils.createAsset(admin.accessToken);
  });

  describe('GET /system-config/map/style.json', () => {
@@ -27,19 +24,6 @@ describe('/system-config', () => {
      expect(body).toEqual(errorDto.unauthorized);
    });

-    it('should allow shared link access', async () => {
-      const sharedLink = await utils.createSharedLink(admin.accessToken, {
-        type: SharedLinkType.Individual,
-        assetIds: [asset.id],
-      });
-      const { status, body } = await request(app)
-        .get(`/system-config/map/style.json?key=${sharedLink.key}`)
-        .query({ theme: 'dark' });
-
-      expect(status).toBe(200);
-      expect(body).toEqual(expect.objectContaining({ id: 'immich-map-dark' }));
-    });
-
    it('should throw an error if a theme is not light or dark', async () => {
      for (const theme of ['dark1', true, 123, '', null, undefined]) {
        const { status, body } = await request(app)
@@ -1,193 +0,0 @@
-import { AssetFileUploadResponseDto, LoginResponseDto, SharedLinkType, TimeBucketSize } from '@immich/sdk';
-import { DateTime } from 'luxon';
-import { createUserDto } from 'src/fixtures';
-import { errorDto } from 'src/responses';
-import { app, utils } from 'src/utils';
-import request from 'supertest';
-import { beforeAll, describe, expect, it } from 'vitest';
-
-// TODO this should probably be a test util function
-const today = DateTime.fromObject({
-  year: 2023,
-  month: 11,
-  day: 3,
-}) as DateTime<true>;
-const yesterday = today.minus({ days: 1 });
-
-describe('/timeline', () => {
-  let admin: LoginResponseDto;
-  let user: LoginResponseDto;
-  let timeBucketUser: LoginResponseDto;
-
-  let userAssets: AssetFileUploadResponseDto[];
-
-  beforeAll(async () => {
-    await utils.resetDatabase();
-    admin = await utils.adminSetup({ onboarding: false });
-    [user, timeBucketUser] = await Promise.all([
-      utils.userSetup(admin.accessToken, createUserDto.create('1')),
-      utils.userSetup(admin.accessToken, createUserDto.create('time-bucket')),
-    ]);
-
-    userAssets = await Promise.all([
-      utils.createAsset(user.accessToken),
-      utils.createAsset(user.accessToken),
-      utils.createAsset(user.accessToken, {
-        isFavorite: true,
-        isReadOnly: true,
-        fileCreatedAt: yesterday.toISO(),
-        fileModifiedAt: yesterday.toISO(),
-        assetData: { filename: 'example.mp4' },
-      }),
-      utils.createAsset(user.accessToken),
-      utils.createAsset(user.accessToken),
-    ]);
-
-    await Promise.all([
-      utils.createAsset(timeBucketUser.accessToken, { fileCreatedAt: new Date('1970-01-01').toISOString() }),
-      utils.createAsset(timeBucketUser.accessToken, { fileCreatedAt: new Date('1970-02-10').toISOString() }),
-      utils.createAsset(timeBucketUser.accessToken, { fileCreatedAt: new Date('1970-02-11').toISOString() }),
-      utils.createAsset(timeBucketUser.accessToken, { fileCreatedAt: new Date('1970-02-11').toISOString() }),
-    ]);
-  });
-
-  describe('GET /timeline/buckets', () => {
-    it('should require authentication', async () => {
-      const { status, body } = await request(app).get('/timeline/buckets').query({ size: TimeBucketSize.Month });
-      expect(status).toBe(401);
-      expect(body).toEqual(errorDto.unauthorized);
-    });
-
-    it('should get time buckets by month', async () => {
-      const { status, body } = await request(app)
-        .get('/timeline/buckets')
-        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
-        .query({ size: TimeBucketSize.Month });
-
-      expect(status).toBe(200);
-      expect(body).toEqual(
-        expect.arrayContaining([
-          { count: 3, timeBucket: '1970-02-01T00:00:00.000Z' },
-          { count: 1, timeBucket: '1970-01-01T00:00:00.000Z' },
-        ]),
-      );
-    });
-
-    it('should not allow access for unrelated shared links', async () => {
-      const sharedLink = await utils.createSharedLink(user.accessToken, {
-        type: SharedLinkType.Individual,
-        assetIds: userAssets.map(({ id }) => id),
-      });
-
-      const { status, body } = await request(app)
-        .get('/timeline/buckets')
-        .query({ key: sharedLink.key, size: TimeBucketSize.Month });
-
-      expect(status).toBe(400);
-      expect(body).toEqual(errorDto.noPermission);
-    });
-
-    it('should get time buckets by day', async () => {
-      const { status, body } = await request(app)
-        .get('/timeline/buckets')
-        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
-        .query({ size: TimeBucketSize.Day });
-
-      expect(status).toBe(200);
-      expect(body).toEqual([
-        { count: 2, timeBucket: '1970-02-11T00:00:00.000Z' },
-        { count: 1, timeBucket: '1970-02-10T00:00:00.000Z' },
-        { count: 1, timeBucket: '1970-01-01T00:00:00.000Z' },
-      ]);
-    });
-
-    it('should return error if time bucket is requested with partners asset and archived', async () => {
-      const req1 = await request(app)
-        .get('/timeline/buckets')
-        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
-        .query({ size: TimeBucketSize.Month, withPartners: true, isArchived: true });
-
-      expect(req1.status).toBe(400);
-      expect(req1.body).toEqual(errorDto.badRequest());
-
-      const req2 = await request(app)
-        .get('/timeline/buckets')
-        .set('Authorization', `Bearer ${user.accessToken}`)
-        .query({ size: TimeBucketSize.Month, withPartners: true, isArchived: undefined });
-
-      expect(req2.status).toBe(400);
-      expect(req2.body).toEqual(errorDto.badRequest());
-    });
-
-    it('should return error if time bucket is requested with partners asset and favorite', async () => {
-      const req1 = await request(app)
-        .get('/timeline/buckets')
-        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
-        .query({ size: TimeBucketSize.Month, withPartners: true, isFavorite: true });
-
-      expect(req1.status).toBe(400);
-      expect(req1.body).toEqual(errorDto.badRequest());
-
-      const req2 = await request(app)
-        .get('/timeline/buckets')
-        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
-        .query({ size: TimeBucketSize.Month, withPartners: true, isFavorite: false });
-
-      expect(req2.status).toBe(400);
-      expect(req2.body).toEqual(errorDto.badRequest());
-    });
-
-    it('should return error if time bucket is requested with partners asset and trash', async () => {
-      const req = await request(app)
-        .get('/timeline/buckets')
-        .set('Authorization', `Bearer ${user.accessToken}`)
-        .query({ size: TimeBucketSize.Month, withPartners: true, isTrashed: true });
-
-      expect(req.status).toBe(400);
-      expect(req.body).toEqual(errorDto.badRequest());
-    });
-  });
-
-  describe('GET /timeline/bucket', () => {
-    it('should require authentication', async () => {
-      const { status, body } = await request(app).get('/timeline/bucket').query({
-        size: TimeBucketSize.Month,
-        timeBucket: '1900-01-01T00:00:00.000Z',
-      });
-
-      expect(status).toBe(401);
-      expect(body).toEqual(errorDto.unauthorized);
-    });
-
-    it('should handle 5 digit years', async () => {
-      const { status, body } = await request(app)
-        .get('/timeline/bucket')
-        .query({ size: TimeBucketSize.Month, timeBucket: '+012345-01-01T00:00:00.000Z' })
-        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`);
-
-      expect(status).toBe(200);
-      expect(body).toEqual([]);
-    });
-
-    // TODO enable date string validation while still accepting 5 digit years
-    // it('should fail if time bucket is invalid', async () => {
-    //   const { status, body } = await request(app)
-    //     .get('/timeline/bucket')
-    //     .set('Authorization', `Bearer ${user.accessToken}`)
-    //     .query({ size: TimeBucketSize.Month, timeBucket: 'foo' });
-
-    //   expect(status).toBe(400);
-    //   expect(body).toEqual(errorDto.badRequest);
-    // });
-
-    it('should return time bucket', async () => {
-      const { status, body } = await request(app)
-        .get('/timeline/bucket')
-        .set('Authorization', `Bearer ${timeBucketUser.accessToken}`)
-        .query({ size: TimeBucketSize.Month, timeBucket: '1970-02-10T00:00:00.000Z' });
-
-      expect(status).toBe(200);
-      expect(body).toEqual([]);
-    });
-  });
-});
@@ -11,16 +11,13 @@ describe(`immich server-info`, () => {
  it('should return the server info', async () => {
    const { stderr, stdout, exitCode } = await immichCli(['server-info']);
    expect(stdout.split('\n')).toEqual([
-      expect.stringContaining('Server Info (via admin@immich.cloud'),
-      '  Url: http://127.0.0.1:2283/api',
-      expect.stringContaining('Version:'),
-      '  Formats:',
-      expect.stringContaining('Images:'),
-      expect.stringContaining('Videos:'),
-      '  Statistics:',
-      '    Images: 0',
-      '    Videos: 0',
-      '    Total: 0',
+      expect.stringContaining('Server Version:'),
+      expect.stringContaining('Image Types:'),
+      expect.stringContaining('Video Types:'),
+      'Statistics:',
+      '  Images: 0',
+      '  Videos: 0',
+      '  Total: 0',
    ]);
    expect(stderr).toBe('');
    expect(exitCode).toBe(0);
@@ -39,7 +39,7 @@ import { makeRandomImage } from 'src/generators';
 import request from 'supertest';

 type CliResponse = { stdout: string; stderr: string; exitCode: number | null };
-type EventType = 'assetUpload' | 'assetUpdate' | 'assetDelete' | 'userDelete';
+type EventType = 'assetUpload' | 'assetDelete' | 'userDelete';
 type WaitOptions = { event: EventType; id?: string; total?: number; timeout?: number };
 type AdminSetupOptions = { onboarding?: boolean };
 type AssetData = { bytes?: Buffer; filename: string };
@@ -82,7 +82,6 @@ let client: pg.Client | null = null;

 const events: Record<EventType, Set<string>> = {
  assetUpload: new Set<string>(),
-  assetUpdate: new Set<string>(),
  assetDelete: new Set<string>(),
  userDelete: new Set<string>(),
 };
@@ -186,7 +185,6 @@ export const utils = {
      websocket
        .on('connect', () => resolve(websocket))
        .on('on_upload_success', (data: AssetResponseDto) => onEvent({ event: 'assetUpload', id: data.id }))
-        .on('on_asset_update', (data: AssetResponseDto) => onEvent({ event: 'assetUpdate', id: data.id }))
        .on('on_asset_delete', (assetId: string) => onEvent({ event: 'assetDelete', id: assetId }))
        .on('on_user_delete', (userId: string) => onEvent({ event: 'userDelete', id: userId }))
        .connect();
@@ -1,6 +1,6 @@
 ARG DEVICE=cpu

-FROM python:3.11-bookworm@sha256:e2ed446c899827ed992f8a5a8875fa0853fcab32581e61418b650322061aa3c4 as builder-cpu
+FROM python:3.11-bookworm@sha256:991e20a11120277e977cadbc104e7a9b196a68a346597879821b19034285a403 as builder-cpu

 FROM openvino/ubuntu22_runtime:2023.3.0@sha256:176646df619032ea6c10faf842867119c393e7497b7f88b5e307e932a0fd5aa8 as builder-openvino
 USER root
@@ -36,7 +36,7 @@ RUN python3 -m venv /opt/venv
 COPY poetry.lock pyproject.toml ./
 RUN poetry install --sync --no-interaction --no-ansi --no-root --with ${DEVICE} --without dev

-FROM python:3.11-slim-bookworm@sha256:90f8795536170fd08236d2ceb74fe7065dbf74f738d8b84bfbf263656654dc9b as prod-cpu
+FROM python:3.11-slim-bookworm@sha256:a2eb07f336e4f194358382611b4fea136c632b40baa6314cb27a366deeaf0144 as prod-cpu

 FROM openvino/ubuntu22_runtime:2023.3.0@sha256:176646df619032ea6c10faf842867119c393e7497b7f88b5e307e932a0fd5aa8 as prod-openvino
 USER root
@@ -12,6 +12,8 @@ from rich.logging import RichHandler
 from uvicorn import Server
 from uvicorn.workers import UvicornWorker

+from .schemas import ModelType
+

 class PreloadModelData(BaseModel):
    clip: str | None
@@ -19,7 +21,7 @@ class PreloadModelData(BaseModel):


 class Settings(BaseSettings):
-    cache_folder: Path = Path("/cache")
+    cache_folder: str = "/cache"
    model_ttl: int = 300
    model_ttl_poll_s: int = 10
    host: str = "0.0.0.0"
@@ -53,6 +55,14 @@ def clean_name(model_name: str) -> str:
    return model_name.split("/")[-1].translate(_clean_name)


+def get_cache_dir(model_name: str, model_type: ModelType) -> Path:
+    return Path(settings.cache_folder) / model_type.value / clean_name(model_name)
+
+
+def get_hf_model_name(model_name: str) -> str:
+    return f"immich-app/{clean_name(model_name)}"
+
+
 LOG_LEVELS: dict[str, int] = {
    "critical": logging.ERROR,
    "error": logging.ERROR,
@@ -6,21 +6,22 @@ import threading
 import time
 from concurrent.futures import ThreadPoolExecutor
 from contextlib import asynccontextmanager
-from functools import partial
 from typing import Any, AsyncGenerator, Callable, Iterator
+from zipfile import BadZipFile

 import orjson
 from fastapi import Depends, FastAPI, Form, HTTPException, UploadFile
 from fastapi.responses import ORJSONResponse
+from onnxruntime.capi.onnxruntime_pybind11_state import InvalidProtobuf, NoSuchFile
 from starlette.formparsers import MultiPartParser

+from app.models.base import InferenceModel
+
 from .config import PreloadModelData, log, settings
 from .models.cache import ModelCache
 from .schemas import (
    MessageResponse,
-    ModelTask,
    ModelType,
-    Predictor,
    TextResponse,
 )

@@ -62,21 +63,12 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
        gc.collect()


-async def preload_models(preload: PreloadModelData) -> None:
-    log.info(f"Preloading models: {preload}")
-    if preload.clip is not None:
-        model = await model_cache.get(preload.clip, ModelType.TEXTUAL, ModelTask.SEARCH)
-        await load(model)
-
-        model = await model_cache.get(preload.clip, ModelType.VISUAL, ModelTask.SEARCH)
-        await load(model)
-
-    if preload.facial_recognition is not None:
-        model = await model_cache.get(preload.facial_recognition, ModelType.DETECTION, ModelTask.FACIAL_RECOGNITION)
-        await load(model)
-
-        model = await model_cache.get(preload.facial_recognition, ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION)
-        await load(model)
+async def preload_models(preload_models: PreloadModelData) -> None:
+    log.info(f"Preloading models: {preload_models}")
+    if preload_models.clip is not None:
+        await load(await model_cache.get(preload_models.clip, ModelType.CLIP))
+    if preload_models.facial_recognition is not None:
+        await load(await model_cache.get(preload_models.facial_recognition, ModelType.FACIAL_RECOGNITION))


 def update_state() -> Iterator[None]:
@@ -106,7 +98,6 @@ def ping() -> str:
 async def predict(
    model_name: str = Form(alias="modelName"),
    model_type: ModelType = Form(alias="modelType"),
-    model_task: ModelTask = Form(alias="modelTask"),
    options: str = Form(default="{}"),
    text: str | None = Form(default=None),
    image: UploadFile | None = None,
@@ -122,30 +113,39 @@ async def predict(
    except orjson.JSONDecodeError:
        raise HTTPException(400, f"Invalid options JSON: {options}")

-    model = await model_cache.get(model_name, model_type, model_task, ttl=settings.model_ttl, **kwargs)
-    model = await load(model)
-    outputs = await run(model.predict, inputs, **kwargs)
+    model = await load(await model_cache.get(model_name, model_type, ttl=settings.model_ttl, **kwargs))
+    model.configure(**kwargs)
+    outputs = await run(model.predict, inputs)
    return ORJSONResponse(outputs)


-async def run(func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
+async def run(func: Callable[..., Any], inputs: Any) -> Any:
    if thread_pool is None:
-        return func(*args, **kwargs)
-    partial_func = partial(func, *args, **kwargs)
-    return await asyncio.get_running_loop().run_in_executor(thread_pool, partial_func)
+        return func(inputs)
+    return await asyncio.get_running_loop().run_in_executor(thread_pool, func, inputs)


-async def load(model: Predictor) -> Predictor:
+async def load(model: InferenceModel) -> InferenceModel:
    if model.loaded:
        return model

-    def _load(model: Predictor) -> Predictor:
+    def _load(model: InferenceModel) -> None:
        with lock:
            model.load()
-        return model

-    await run(_load, model)
-    return model
+    try:
+        await run(_load, model)
+        return model
+    except (OSError, InvalidProtobuf, BadZipFile, NoSuchFile):
+        log.warning(
+            (
+                f"Failed to load {model.model_type.replace('_', ' ')} model '{model.model_name}'."
+                "Clearing cache and retrying."
+            )
+        )
+        model.clear_cache()
+        await run(_load, model)
+        return model


 async def idle_shutdown_task() -> None:
@@ -1,31 +1,24 @@
 from typing import Any

-from app.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
-from app.models.clip.visual import OpenClipVisualEncoder
-from app.schemas import ModelSource, ModelTask, ModelType, Predictor
+from app.schemas import ModelType

-from .constants import get_model_source
-from .facial_recognition.detection import FaceDetector
-from .facial_recognition.recognition import FaceRecognizer
+from .base import InferenceModel
+from .clip import MCLIPEncoder, OpenCLIPEncoder
+from .constants import is_insightface, is_mclip, is_openclip
+from .facial_recognition import FaceRecognizer


-def from_model_type(model_name: str, model_type: ModelType, model_task: ModelTask, **model_kwargs: Any) -> Predictor:
-    source = get_model_source(model_name)
-    match source, model_type, model_task:
-        case ModelSource.OPENCLIP | ModelSource.MCLIP, ModelType.VISUAL, ModelTask.SEARCH:
-            return OpenClipVisualEncoder(model_name, **model_kwargs)
-
-        case ModelSource.OPENCLIP, ModelType.TEXTUAL, ModelTask.SEARCH:
-            return OpenClipTextualEncoder(model_name, **model_kwargs)
-
-        case ModelSource.MCLIP, ModelType.TEXTUAL, ModelTask.SEARCH:
-            return MClipTextualEncoder(model_name, **model_kwargs)
-
-        case ModelSource.INSIGHTFACE, ModelType.DETECTION, ModelTask.FACIAL_RECOGNITION:
-            return FaceDetector(model_name, **model_kwargs)
-
-        case ModelSource.INSIGHTFACE, ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION:
-            return FaceRecognizer(model_name, **model_kwargs)
-
+def from_model_type(model_type: ModelType, model_name: str, **model_kwargs: Any) -> InferenceModel:
+    match model_type:
+        case ModelType.CLIP:
+            if is_openclip(model_name):
+                return OpenCLIPEncoder(model_name, **model_kwargs)
+            elif is_mclip(model_name):
+                return MCLIPEncoder(model_name, **model_kwargs)
+        case ModelType.FACIAL_RECOGNITION:
+            if is_insightface(model_name):
+                return FaceRecognizer(model_name, **model_kwargs)
        case _:
-            raise ValueError(f"Unknown model combination: {source}, {model_type}, {model_task}")
+            raise ValueError(f"Unknown model type {model_type}")
+
+    raise ValueError(f"Unknown {model_type} model {model_name}")
@@ -3,24 +3,21 @@ from __future__ import annotations
 from abc import ABC, abstractmethod
 from pathlib import Path
 from shutil import rmtree
-from typing import Any, ClassVar
-from zipfile import BadZipFile
+from typing import Any

 import onnxruntime as ort
-from onnxruntime.capi.onnxruntime_pybind11_state import InvalidProtobuf, NoSuchFile
 from huggingface_hub import snapshot_download

 import ann.ann
 from app.models.constants import SUPPORTED_PROVIDERS

-from ..config import clean_name, log, settings
-from ..schemas import ModelFormat, ModelSession, ModelTask, ModelType
+from ..config import get_cache_dir, get_hf_model_name, log, settings
+from ..schemas import ModelRuntime, ModelType
 from .ann import AnnSession


 class InferenceModel(ABC):
-    _model_task: ClassVar[ModelTask]
-    _model_type: ClassVar[ModelType]
+    _model_type: ModelType

    def __init__(
        self,
@@ -29,16 +26,16 @@ class InferenceModel(ABC):
        providers: list[str] | None = None,
        provider_options: list[dict[str, Any]] | None = None,
        sess_options: ort.SessionOptions | None = None,
-        preferred_format: ModelFormat | None = None,
+        preferred_runtime: ModelRuntime | None = None,
        **model_kwargs: Any,
    ) -> None:
        self.loaded = False
-        self.model_name = clean_name(model_name)
+        self.model_name = model_name
        self.cache_dir = Path(cache_dir) if cache_dir is not None else self.cache_dir_default
        self.providers = providers if providers is not None else self.providers_default
        self.provider_options = provider_options if provider_options is not None else self.provider_options_default
        self.sess_options = sess_options if sess_options is not None else self.sess_options_default
-        self.preferred_runtime = preferred_format if preferred_format is not None else self.preferred_runtime_default
+        self.preferred_runtime = preferred_runtime if preferred_runtime is not None else self.preferred_runtime_default

    def download(self) -> None:
        if not self.cached:
@@ -50,47 +47,35 @@ class InferenceModel(ABC):
    def load(self) -> None:
        if self.loaded:
            return
-
-        try:
-            self.download()
-            log.info(f"Loading {self.model_type.replace('-', ' ')} model '{self.model_name}' to memory")
-            self.session = self._load()
-        except (OSError, InvalidProtobuf, BadZipFile, NoSuchFile):
-            log.warning(
-                (
-                    f"Failed to load {self.model_type.replace('_', ' ')} model '{self.model_name}'."
-                    "Clearing cache and retrying."
-                )
-            )
-            self.clear_cache()
-            self.download()
-            self.session = self._load()
+        self.download()
+        log.info(f"Loading {self.model_type.replace('-', ' ')} model '{self.model_name}' to memory")
+        self._load()
        self.loaded = True

    def predict(self, inputs: Any, **model_kwargs: Any) -> Any:
        self.load()
        if model_kwargs:
            self.configure(**model_kwargs)
-        return self._predict(inputs, **model_kwargs)
+        return self._predict(inputs)

    @abstractmethod
-    def _predict(self, inputs: Any, **model_kwargs: Any) -> Any: ...
+    def _predict(self, inputs: Any) -> Any: ...

-    def configure(self, **kwargs: Any) -> None:
+    def configure(self, **model_kwargs: Any) -> None:
        pass

    def _download(self) -> None:
-        ignore_patterns = [] if self.preferred_runtime == ModelFormat.ARMNN else ["*.armnn"]
+        ignore_patterns = [] if self.preferred_runtime == ModelRuntime.ARMNN else ["*.armnn"]
        snapshot_download(
-            f"immich-app/{clean_name(self.model_name)}",
+            get_hf_model_name(self.model_name),
            cache_dir=self.cache_dir,
            local_dir=self.cache_dir,
            local_dir_use_symlinks=False,
            ignore_patterns=ignore_patterns,
        )

-    def _load(self) -> ModelSession:
-        return self._make_session(self.model_path)
+    @abstractmethod
+    def _load(self) -> None: ...

    def clear_cache(self) -> None:
        if not self.cache_dir.exists():
@@ -114,7 +99,7 @@ class InferenceModel(ABC):
            self.cache_dir.unlink()
        self.cache_dir.mkdir(parents=True, exist_ok=True)

-    def _make_session(self, model_path: Path) -> ModelSession:
+    def _make_session(self, model_path: Path) -> AnnSession | ort.InferenceSession:
        if not model_path.is_file():
            onnx_path = model_path.with_suffix(".onnx")
            if not onnx_path.is_file():
@@ -139,14 +124,6 @@ class InferenceModel(ABC):
                raise ValueError(f"Unsupported model file type: {model_path.suffix}")
        return session

-    @property
-    def model_path(self) -> Path:
-        return self.cache_dir / self.model_type.value / f"model.{self.preferred_runtime}"
-
-    @property
-    def model_task(self) -> ModelTask:
-        return self._model_task
-
    @property
    def model_type(self) -> ModelType:
        return self._model_type
@@ -161,11 +138,11 @@ class InferenceModel(ABC):

    @property
    def cache_dir_default(self) -> Path:
-        return settings.cache_folder / self.model_task.value / self.model_name
+        return get_cache_dir(self.model_name, self.model_type)

    @property
    def cached(self) -> bool:
-        return self.model_path.is_file()
+        return self.cache_dir.is_dir() and any(self.cache_dir.iterdir())

    @property
    def providers(self) -> list[str]:
@@ -249,14 +226,14 @@ class InferenceModel(ABC):
        return sess_options

    @property
-    def preferred_runtime(self) -> ModelFormat:
+    def preferred_runtime(self) -> ModelRuntime:
        return self._preferred_runtime

    @preferred_runtime.setter
-    def preferred_runtime(self, preferred_runtime: ModelFormat) -> None:
+    def preferred_runtime(self, preferred_runtime: ModelRuntime) -> None:
        log.debug(f"Setting preferred runtime to {preferred_runtime}")
        self._preferred_runtime = preferred_runtime

    @property
-    def preferred_runtime_default(self) -> ModelFormat:
-        return ModelFormat.ARMNN if ann.ann.is_available and settings.ann else ModelFormat.ONNX
+    def preferred_runtime_default(self) -> ModelRuntime:
+        return ModelRuntime.ARMNN if ann.ann.is_available and settings.ann else ModelRuntime.ONNX
@@ -5,9 +5,9 @@ from aiocache.lock import OptimisticLock
 from aiocache.plugins import TimingPlugin

 from app.models import from_model_type
-from app.models.facial_recognition.pipeline import FacialRecognitionPipeline

-from ..schemas import ModelTask, ModelType, Predictor, has_profiling
+from ..schemas import ModelType, has_profiling
+from .base import InferenceModel


 class ModelCache:
@@ -31,13 +31,11 @@ class ModelCache:
        if profiling:
            plugins.append(TimingPlugin())

-        self.should_revalidate = revalidate
+        self.revalidate_enable = revalidate

        self.cache = SimpleMemoryCache(timeout=timeout, plugins=plugins, namespace=None)

-    async def get(
-        self, model_name: str, model_type: ModelType, model_task: ModelTask, **model_kwargs: Any
-    ) -> Predictor:
+    async def get(self, model_name: str, model_type: ModelType, **model_kwargs: Any) -> InferenceModel:
        """
        Args:
            model_name: Name of model in the model hub used for the task.
@@ -47,38 +45,17 @@ class ModelCache:
            model: The requested model.
        """

-        key = f"{model_name}{model_type.value}{model_task.value}"
+        key = f"{model_name}{model_type.value}{model_kwargs.get('mode', '')}"

        async with OptimisticLock(self.cache, key) as lock:
-            model: Predictor | None = await self.cache.get(key)
+            model: InferenceModel | None = await self.cache.get(key)
            if model is None:
-                if model_type == ModelType.PIPELINE:
-                    model = await self._get_pipeline(model_name, model_task, **model_kwargs)
-                else:
-                    model = from_model_type(model_name, model_type, model_task, **model_kwargs)
+                model = from_model_type(model_type, model_name, **model_kwargs)
                await lock.cas(model, ttl=model_kwargs.get("ttl", None))
-            elif self.should_revalidate:
+            elif self.revalidate_enable:
                await self.revalidate(key, model_kwargs.get("ttl", None))
        return model

-    async def _get_pipeline(self, model_name: str, model_task: ModelTask, **model_kwargs: Any) -> Predictor:
-        """
-        Args:
-            model_name: Name of model in the model hub used for the task.
-            model_type: Model type or task, which determines which model zoo is used.
-
-        Returns:
-            model: The requested model.
-        """
-        match model_task:
-            case ModelTask.FACIAL_RECOGNITION:
-                det_model: Any = await self.get(model_name, ModelType.DETECTION, model_task, **model_kwargs)
-                rec_model: Any = await self.get(model_name, ModelType.RECOGNITION, model_task, **model_kwargs)
-                return FacialRecognitionPipeline(det_model, rec_model)
-
-            case _:
-                raise ValueError(f"Unknown model task: {model_task}")
-
    async def get_profiling(self) -> dict[str, float] | None:
        if not has_profiling(self.cache):
            return None
@@ -0,0 +1,189 @@
+import json
+from abc import abstractmethod
+from functools import cached_property
+from io import BytesIO
+from pathlib import Path
+from typing import Any, Literal
+
+import numpy as np
+from numpy.typing import NDArray
+from PIL import Image
+from tokenizers import Encoding, Tokenizer
+
+from app.config import clean_name, log
+from app.models.transforms import crop, get_pil_resampling, normalize, resize, to_numpy
+from app.schemas import ModelType
+
+from .base import InferenceModel
+
+
+class BaseCLIPEncoder(InferenceModel):
+    _model_type = ModelType.CLIP
+
+    def __init__(
+        self,
+        model_name: str,
+        cache_dir: Path | str | None = None,
+        mode: Literal["text", "vision"] | None = None,
+        **model_kwargs: Any,
+    ) -> None:
+        self.mode = mode
+        super().__init__(model_name, cache_dir, **model_kwargs)
+
+    def _load(self) -> None:
+        if self.mode == "text" or self.mode is None:
+            log.debug(f"Loading clip text model '{self.model_name}'")
+            self.text_model = self._make_session(self.textual_path)
+            log.debug(f"Loaded clip text model '{self.model_name}'")
+
+        if self.mode == "vision" or self.mode is None:
+            log.debug(f"Loading clip vision model '{self.model_name}'")
+            self.vision_model = self._make_session(self.visual_path)
+            log.debug(f"Loaded clip vision model '{self.model_name}'")
+
+    def _predict(self, image_or_text: Image.Image | str) -> NDArray[np.float32]:
+        if isinstance(image_or_text, bytes):
+            image_or_text = Image.open(BytesIO(image_or_text))
+
+        match image_or_text:
+            case Image.Image():
+                if self.mode == "text":
+                    raise TypeError("Cannot encode image as text-only model")
+                outputs: NDArray[np.float32] = self.vision_model.run(None, self.transform(image_or_text))[0][0]
+            case str():
+                if self.mode == "vision":
+                    raise TypeError("Cannot encode text as vision-only model")
+                outputs = self.text_model.run(None, self.tokenize(image_or_text))[0][0]
+            case _:
+                raise TypeError(f"Expected Image or str, but got: {type(image_or_text)}")
+
+        return outputs
+
+    @abstractmethod
+    def tokenize(self, text: str) -> dict[str, NDArray[np.int32]]:
+        pass
+
+    @abstractmethod
+    def transform(self, image: Image.Image) -> dict[str, NDArray[np.float32]]:
+        pass
+
+    @property
+    def textual_dir(self) -> Path:
+        return self.cache_dir / "textual"
+
+    @property
+    def visual_dir(self) -> Path:
+        return self.cache_dir / "visual"
+
+    @property
+    def model_cfg_path(self) -> Path:
+        return self.cache_dir / "config.json"
+
+    @property
+    def textual_path(self) -> Path:
+        return self.textual_dir / f"model.{self.preferred_runtime}"
+
+    @property
+    def visual_path(self) -> Path:
+        return self.visual_dir / f"model.{self.preferred_runtime}"
+
+    @property
+    def tokenizer_file_path(self) -> Path:
+        return self.textual_dir / "tokenizer.json"
+
+    @property
+    def tokenizer_cfg_path(self) -> Path:
+        return self.textual_dir / "tokenizer_config.json"
+
+    @property
+    def preprocess_cfg_path(self) -> Path:
+        return self.visual_dir / "preprocess_cfg.json"
+
+    @property
+    def cached(self) -> bool:
+        return self.textual_path.is_file() and self.visual_path.is_file()
+
+    @cached_property
+    def model_cfg(self) -> dict[str, Any]:
+        log.debug(f"Loading model config for CLIP model '{self.model_name}'")
+        model_cfg: dict[str, Any] = json.load(self.model_cfg_path.open())
+        log.debug(f"Loaded model config for CLIP model '{self.model_name}'")
+        return model_cfg
+
+    @cached_property
+    def tokenizer_file(self) -> dict[str, Any]:
+        log.debug(f"Loading tokenizer file for CLIP model '{self.model_name}'")
+        tokenizer_file: dict[str, Any] = json.load(self.tokenizer_file_path.open())
+        log.debug(f"Loaded tokenizer file for CLIP model '{self.model_name}'")
+        return tokenizer_file
+
+    @cached_property
+    def tokenizer_cfg(self) -> dict[str, Any]:
+        log.debug(f"Loading tokenizer config for CLIP model '{self.model_name}'")
+        tokenizer_cfg: dict[str, Any] = json.load(self.tokenizer_cfg_path.open())
+        log.debug(f"Loaded tokenizer config for CLIP model '{self.model_name}'")
+        return tokenizer_cfg
+
+    @cached_property
+    def preprocess_cfg(self) -> dict[str, Any]:
+        log.debug(f"Loading visual preprocessing config for CLIP model '{self.model_name}'")
+        preprocess_cfg: dict[str, Any] = json.load(self.preprocess_cfg_path.open())
+        log.debug(f"Loaded visual preprocessing config for CLIP model '{self.model_name}'")
+        return preprocess_cfg
+
+
+class OpenCLIPEncoder(BaseCLIPEncoder):
+    def __init__(
+        self,
+        model_name: str,
+        cache_dir: Path | str | None = None,
+        mode: Literal["text", "vision"] | None = None,
+        **model_kwargs: Any,
+    ) -> None:
+        super().__init__(clean_name(model_name), cache_dir, mode, **model_kwargs)
+
+    def _load(self) -> None:
+        super()._load()
+        self._load_tokenizer()
+
+        size: list[int] | int = self.preprocess_cfg["size"]
+        self.size = size[0] if isinstance(size, list) else size
+
+        self.resampling = get_pil_resampling(self.preprocess_cfg["interpolation"])
+        self.mean = np.array(self.preprocess_cfg["mean"], dtype=np.float32)
+        self.std = np.array(self.preprocess_cfg["std"], dtype=np.float32)
+
+    def _load_tokenizer(self) -> Tokenizer:
+        log.debug(f"Loading tokenizer for CLIP model '{self.model_name}'")
+
+        text_cfg: dict[str, Any] = self.model_cfg["text_cfg"]
+        context_length: int = text_cfg.get("context_length", 77)
+        pad_token: str = self.tokenizer_cfg["pad_token"]
+
+        self.tokenizer: Tokenizer = Tokenizer.from_file(self.tokenizer_file_path.as_posix())
+
+        pad_id: int = self.tokenizer.token_to_id(pad_token)
+        self.tokenizer.enable_padding(length=context_length, pad_token=pad_token, pad_id=pad_id)
+        self.tokenizer.enable_truncation(max_length=context_length)
+
+        log.debug(f"Loaded tokenizer for CLIP model '{self.model_name}'")
+
+    def tokenize(self, text: str) -> dict[str, NDArray[np.int32]]:
+        tokens: Encoding = self.tokenizer.encode(text)
+        return {"text": np.array([tokens.ids], dtype=np.int32)}
+
+    def transform(self, image: Image.Image) -> dict[str, NDArray[np.float32]]:
+        image = resize(image, self.size)
+        image = crop(image, self.size)
+        image_np = to_numpy(image)
+        image_np = normalize(image_np, self.mean, self.std)
+        return {"image": np.expand_dims(image_np.transpose(2, 0, 1), 0)}
+
+
+class MCLIPEncoder(OpenCLIPEncoder):
+    def tokenize(self, text: str) -> dict[str, NDArray[np.int32]]:
+        tokens: Encoding = self.tokenizer.encode(text)
+        return {
+            "input_ids": np.array([tokens.ids], dtype=np.int32),
+            "attention_mask": np.array([tokens.attention_mask], dtype=np.int32),
+        }
@@ -1,111 +0,0 @@
-import json
-from abc import abstractmethod
-from functools import cached_property
-from pathlib import Path
-from typing import Any
-
-import numpy as np
-from numpy.typing import NDArray
-from tokenizers import Encoding, Tokenizer
-
-from app.config import log
-from app.schemas import ModelSession, ModelTask, ModelType
-
-from app.models.base import InferenceModel
-
-
-class BaseCLIPTextualEncoder(InferenceModel):
-    _model_task = ModelTask.SEARCH
-    _model_type = ModelType.TEXTUAL
-
-    def _predict(self, inputs: str, **kwargs: Any) -> NDArray[np.float32]:
-        res: NDArray[np.float32] = self.session.run(None, self.tokenize(inputs))[0][0]
-        return res
-
-    def _load(self) -> ModelSession:
-        log.debug(f"Loading tokenizer for CLIP model '{self.model_name}'")
-        self.tokenizer = self._load_tokenizer()
-        log.debug(f"Loaded tokenizer for CLIP model '{self.model_name}'")
-
-        return super()._load()
-
-    @abstractmethod
-    def _load_tokenizer(self) -> Tokenizer:
-        pass
-
-    @abstractmethod
-    def tokenize(self, text: str) -> dict[str, NDArray[np.int32]]:
-        pass
-
-    @property
-    def model_dir(self) -> Path:
-        return self.cache_dir / "textual"
-
-    @property
-    def model_cfg_path(self) -> Path:
-        return self.cache_dir / "config.json"
-
-    @property
-    def model_path(self) -> Path:
-        return self.model_dir / f"model.{self.preferred_runtime}"
-
-    @property
-    def tokenizer_file_path(self) -> Path:
-        return self.model_dir / "tokenizer.json"
-
-    @property
-    def tokenizer_cfg_path(self) -> Path:
-        return self.model_dir / "tokenizer_config.json"
-
-    @property
-    def cached(self) -> bool:
-        return self.model_path.is_file()
-
-    @cached_property
-    def model_cfg(self) -> dict[str, Any]:
-        log.debug(f"Loading model config for CLIP model '{self.model_name}'")
-        model_cfg: dict[str, Any] = json.load(self.model_cfg_path.open())
-        log.debug(f"Loaded model config for CLIP model '{self.model_name}'")
-        return model_cfg
-
-    @cached_property
-    def tokenizer_file(self) -> dict[str, Any]:
-        log.debug(f"Loading tokenizer file for CLIP model '{self.model_name}'")
-        tokenizer_file: dict[str, Any] = json.load(self.tokenizer_file_path.open())
-        log.debug(f"Loaded tokenizer file for CLIP model '{self.model_name}'")
-        return tokenizer_file
-
-    @cached_property
-    def tokenizer_cfg(self) -> dict[str, Any]:
-        log.debug(f"Loading tokenizer config for CLIP model '{self.model_name}'")
-        tokenizer_cfg: dict[str, Any] = json.load(self.tokenizer_cfg_path.open())
-        log.debug(f"Loaded tokenizer config for CLIP model '{self.model_name}'")
-        return tokenizer_cfg
-
-
-class OpenClipTextualEncoder(BaseCLIPTextualEncoder):
-    def _load_tokenizer(self) -> Tokenizer:
-        text_cfg: dict[str, Any] = self.model_cfg["text_cfg"]
-        context_length: int = text_cfg.get("context_length", 77)
-        pad_token: str = self.tokenizer_cfg["pad_token"]
-
-        tokenizer: Tokenizer = Tokenizer.from_file(self.tokenizer_file_path.as_posix())
-
-        pad_id: int = tokenizer.token_to_id(pad_token)
-        tokenizer.enable_padding(length=context_length, pad_token=pad_token, pad_id=pad_id)
-        tokenizer.enable_truncation(max_length=context_length)
-
-        return tokenizer
-
-    def tokenize(self, text: str) -> dict[str, NDArray[np.int32]]:
-        tokens: Encoding = self.tokenizer.encode(text)
-        return {"text": np.array([tokens.ids], dtype=np.int32)}
-
-
-class MClipTextualEncoder(OpenClipTextualEncoder):
-    def tokenize(self, text: str) -> dict[str, NDArray[np.int32]]:
-        tokens: Encoding = self.tokenizer.encode(text)
-        return {
-            "input_ids": np.array([tokens.ids], dtype=np.int32),
-            "attention_mask": np.array([tokens.attention_mask], dtype=np.int32),
-        }
@@ -1,84 +0,0 @@
-import json
-from abc import abstractmethod
-from functools import cached_property
-from io import BytesIO
-from pathlib import Path
-from typing import Any
-
-import numpy as np
-from numpy.typing import NDArray
-from PIL import Image
-
-from app.config import log
-from app.models.transforms import crop_pil, get_pil_resampling, normalize, resize_pil, to_numpy
-from app.schemas import ModelSession, ModelTask, ModelType
-
-from app.models.base import InferenceModel
-
-
-class BaseCLIPVisualEncoder(InferenceModel):
-    _model_task = ModelTask.SEARCH
-    _model_type = ModelType.VISUAL
-
-    def _predict(self, inputs: Image.Image | bytes, **kwargs: Any) -> NDArray[np.float32]:
-        if isinstance(inputs, bytes):
-            inputs = Image.open(BytesIO(inputs))
-        res: NDArray[np.float32] = self.session.run(None, self.transform(inputs))[0][0]
-        return res
-
-    @abstractmethod
-    def transform(self, image: Image.Image) -> dict[str, NDArray[np.float32]]:
-        pass
-
-    @property
-    def model_dir(self) -> Path:
-        return self.cache_dir / "visual"
-
-    @property
-    def model_cfg_path(self) -> Path:
-        return self.cache_dir / "config.json"
-
-    @property
-    def model_path(self) -> Path:
-        return self.model_dir / f"model.{self.preferred_runtime}"
-
-    @property
-    def preprocess_cfg_path(self) -> Path:
-        return self.model_dir / "preprocess_cfg.json"
-
-    @property
-    def cached(self) -> bool:
-        return self.model_path.is_file()
-
-    @cached_property
-    def model_cfg(self) -> dict[str, Any]:
-        log.debug(f"Loading model config for CLIP model '{self.model_name}'")
-        model_cfg: dict[str, Any] = json.load(self.model_cfg_path.open())
-        log.debug(f"Loaded model config for CLIP model '{self.model_name}'")
-        return model_cfg
-
-    @cached_property
-    def preprocess_cfg(self) -> dict[str, Any]:
-        log.debug(f"Loading visual preprocessing config for CLIP model '{self.model_name}'")
-        preprocess_cfg: dict[str, Any] = json.load(self.preprocess_cfg_path.open())
-        log.debug(f"Loaded visual preprocessing config for CLIP model '{self.model_name}'")
-        return preprocess_cfg
-
-
-class OpenClipVisualEncoder(BaseCLIPVisualEncoder):
-    def _load(self) -> ModelSession:
-        size: list[int] | int = self.preprocess_cfg["size"]
-        self.size = size[0] if isinstance(size, list) else size
-
-        self.resampling = get_pil_resampling(self.preprocess_cfg["interpolation"])
-        self.mean = np.array(self.preprocess_cfg["mean"], dtype=np.float32)
-        self.std = np.array(self.preprocess_cfg["std"], dtype=np.float32)
-
-        return super()._load()
-
-    def transform(self, image: Image.Image) -> dict[str, NDArray[np.float32]]:
-        image = resize_pil(image, self.size)
-        image = crop_pil(image, self.size)
-        image_np = to_numpy(image)
-        image_np = normalize(image_np, self.mean, self.std)
-        return {"image": np.expand_dims(image_np.transpose(2, 0, 1), 0)}
@@ -1,5 +1,4 @@
 from app.config import clean_name
-from app.schemas import ModelSource

 _OPENCLIP_MODELS = {
    "RN50__openai",
@@ -55,16 +54,13 @@ _INSIGHTFACE_MODELS = {
 SUPPORTED_PROVIDERS = ["CUDAExecutionProvider", "OpenVINOExecutionProvider", "CPUExecutionProvider"]


-def get_model_source(model_name: str) -> ModelSource | None:
-    cleaned_name = clean_name(model_name)
+def is_openclip(model_name: str) -> bool:
+    return clean_name(model_name) in _OPENCLIP_MODELS

-    if cleaned_name in _INSIGHTFACE_MODELS:
-        return ModelSource.INSIGHTFACE

-    if cleaned_name in _MCLIP_MODELS:
-        return ModelSource.MCLIP
+def is_mclip(model_name: str) -> bool:
+    return clean_name(model_name) in _MCLIP_MODELS

-    if cleaned_name in _OPENCLIP_MODELS:
-        return ModelSource.OPENCLIP

-    return None
+def is_insightface(model_name: str) -> bool:
+    return clean_name(model_name) in _INSIGHTFACE_MODELS
@@ -0,0 +1,90 @@
+from pathlib import Path
+from typing import Any
+
+import cv2
+import numpy as np
+from insightface.model_zoo import ArcFaceONNX, RetinaFace
+from insightface.utils.face_align import norm_crop
+from numpy.typing import NDArray
+
+from app.config import clean_name
+from app.schemas import Face, ModelType, is_ndarray
+
+from .base import InferenceModel
+
+
+class FaceRecognizer(InferenceModel):
+    _model_type = ModelType.FACIAL_RECOGNITION
+
+    def __init__(
+        self,
+        model_name: str,
+        min_score: float = 0.7,
+        cache_dir: Path | str | None = None,
+        **model_kwargs: Any,
+    ) -> None:
+        self.min_score = model_kwargs.pop("minScore", min_score)
+        super().__init__(clean_name(model_name), cache_dir, **model_kwargs)
+
+    def _load(self) -> None:
+        self.det_model = RetinaFace(session=self._make_session(self.det_file))
+        self.rec_model = ArcFaceONNX(
+            self.rec_file.with_suffix(".onnx").as_posix(),
+            session=self._make_session(self.rec_file),
+        )
+
+        self.det_model.prepare(
+            ctx_id=0,
+            det_thresh=self.min_score,
+            input_size=(640, 640),
+        )
+        self.rec_model.prepare(ctx_id=0)
+
+    def _predict(self, image: NDArray[np.uint8] | bytes) -> list[Face]:
+        if isinstance(image, bytes):
+            decoded_image = cv2.imdecode(np.frombuffer(image, np.uint8), cv2.IMREAD_COLOR)
+        else:
+            decoded_image = image
+        assert is_ndarray(decoded_image, np.uint8)
+        bboxes, kpss = self.det_model.detect(decoded_image)
+        if bboxes.size == 0:
+            return []
+        assert is_ndarray(kpss, np.float32)
+
+        scores = bboxes[:, 4].tolist()
+        bboxes = bboxes[:, :4].round().tolist()
+
+        results = []
+        height, width, _ = decoded_image.shape
+        for (x1, y1, x2, y2), score, kps in zip(bboxes, scores, kpss):
+            cropped_img = norm_crop(decoded_image, kps)
+            embedding: NDArray[np.float32] = self.rec_model.get_feat(cropped_img)[0]
+            face: Face = {
+                "imageWidth": width,
+                "imageHeight": height,
+                "boundingBox": {
+                    "x1": x1,
+                    "y1": y1,
+                    "x2": x2,
+                    "y2": y2,
+                },
+                "score": score,
+                "embedding": embedding,
+            }
+            results.append(face)
+        return results
+
+    @property
+    def cached(self) -> bool:
+        return self.det_file.is_file() and self.rec_file.is_file()
+
+    @property
+    def det_file(self) -> Path:
+        return self.cache_dir / "detection" / f"model.{self.preferred_runtime}"
+
+    @property
+    def rec_file(self) -> Path:
+        return self.cache_dir / "recognition" / f"model.{self.preferred_runtime}"
+
+    def configure(self, **model_kwargs: Any) -> None:
+        self.det_model.det_thresh = model_kwargs.pop("minScore", self.det_model.det_thresh)
@@ -1,60 +0,0 @@
-from pathlib import Path
-from typing import Any
-
-import cv2
-import numpy as np
-from insightface.model_zoo import RetinaFace
-from numpy.typing import NDArray
-
-from app.schemas import DetectedFace, ModelSession, ModelTask, ModelType, is_ndarray
-
-from app.models.base import InferenceModel
-
-
-class FaceDetector(InferenceModel):
-    _model_task = ModelTask.FACIAL_RECOGNITION
-    _model_type = ModelType.DETECTION
-
-    def __init__(
-        self,
-        model_name: str,
-        min_score: float = 0.7,
-        cache_dir: Path | str | None = None,
-        **model_kwargs: Any,
-    ) -> None:
-        self.min_score = model_kwargs.pop("minScore", min_score)
-        super().__init__(model_name, cache_dir, **model_kwargs)
-
-    def _load(self) -> ModelSession:
-        session = self._make_session(self.model_path)
-        self.det_model = RetinaFace(session=session)
-        self.det_model.prepare(ctx_id=0, det_thresh=self.min_score, input_size=(640, 640))
-
-        return session
-
-    def _predict(self, inputs: NDArray[np.uint8] | bytes, **kwargs: Any) -> list[DetectedFace]:
-        if isinstance(inputs, bytes):
-            decoded_image = cv2.imdecode(np.frombuffer(inputs, np.uint8), cv2.IMREAD_COLOR)
-        else:
-            decoded_image = inputs
-        assert is_ndarray(decoded_image, np.uint8)
-
-        bboxes, landmarks = self.det_model.detect(decoded_image)
-        assert is_ndarray(bboxes, np.float32)
-        assert is_ndarray(landmarks, np.float32)
-
-        if bboxes.size == 0:
-            return []
-
-        scores: list[float] = bboxes[:, 4].tolist()
-        bboxes_list: list[list[int]] = bboxes[:, :4].round().tolist()
-
-        results: list[DetectedFace] = [
-            {"box": {"x1": x1, "y1": y1, "x2": x2, "y2": y2}, "score": score, "landmarks": face_landmarks}
-            for (x1, y1, x2, y2), score, face_landmarks in zip(bboxes_list, scores, landmarks)
-        ]
-
-        return results
-
-    def configure(self, **kwargs: Any) -> None:
-        self.det_model.det_thresh = kwargs.pop("minScore", self.det_model.det_thresh)
@@ -1,31 +0,0 @@
-from typing import Any
-import cv2
-import numpy as np
-from numpy.typing import NDArray
-
-from app.models.facial_recognition.detection import FaceDetector
-from app.models.facial_recognition.recognition import FaceRecognizer
-from app.schemas import RecognizedFace, is_ndarray
-
-
-class FacialRecognitionPipeline:
-    def __init__(self, det_model: FaceDetector, rec_model: FaceRecognizer) -> None:
-        self.det_model = det_model
-        self.rec_model = rec_model
-        self.loaded = False
-
-    def load(self) -> None:
-        self.det_model.load()
-        self.rec_model.load()
-        self.loaded = True
-
-    def predict(self, inputs: NDArray[np.uint8] | bytes, **kwargs: Any) -> list[RecognizedFace]:
-        if isinstance(inputs, bytes):
-            decoded_image = cv2.imdecode(np.frombuffer(inputs, np.uint8), cv2.IMREAD_COLOR)
-        else:
-            decoded_image = inputs
-        assert is_ndarray(decoded_image, np.uint8)
-
-        faces = self.det_model.predict(decoded_image, **kwargs)
-        results: list[RecognizedFace] = self.rec_model.predict(decoded_image, faces=faces, **kwargs)
-        return results
@@ -1,65 +0,0 @@
-from pathlib import Path
-from typing import Any
-
-import cv2
-import numpy as np
-from insightface.model_zoo import ArcFaceONNX
-from insightface.utils.face_align import norm_crop
-from numpy.typing import NDArray
-
-from app.config import clean_name
-from app.models.transforms import crop_np, crop_bounding_box, resize_np
-from app.schemas import DetectedFace, ModelTask, RecognizedFace, ModelSession, ModelType, is_ndarray
-
-from ..base import InferenceModel
-
-
-class FaceRecognizer(InferenceModel):
-    _model_task = ModelTask.FACIAL_RECOGNITION
-    _model_type = ModelType.RECOGNITION
-
-    def __init__(
-        self,
-        model_name: str,
-        min_score: float = 0.7,
-        cache_dir: Path | str | None = None,
-        **model_kwargs: Any,
-    ) -> None:
-        self.min_score = model_kwargs.pop("minScore", min_score)
-        super().__init__(clean_name(model_name), cache_dir, **model_kwargs)
-
-    def _load(self) -> ModelSession:
-        session = self._make_session(self.model_path)
-        self.model = ArcFaceONNX(
-            self.model_path.with_suffix(".onnx").as_posix(),
-            session=session,
-        )
-        return session
-
-    # def _predict(self, img: Any, **kwargs: Any) -> Any:
-    def _predict(
-        self, inputs: NDArray[np.uint8] | bytes, faces: list[DetectedFace] = [], **kwargs: Any
-    ) -> list[RecognizedFace]:
-        if isinstance(inputs, bytes):
-            decoded_image = cv2.imdecode(np.frombuffer(inputs, np.uint8), cv2.IMREAD_COLOR)
-        else:
-            decoded_image = inputs
-        assert is_ndarray(decoded_image, np.float32)
-
-        results: list[RecognizedFace] = []
-        for detected_face in faces:
-            landmarks = detected_face.get("landmarks", None)
-            if landmarks is not None:
-                cropped_img = norm_crop(decoded_image, np.asarray(landmarks))
-            else:
-                cropped_img = crop_bounding_box(decoded_image, detected_face["box"])
-                cropped_img = crop_np(resize_np(cropped_img, 112), 112)
-            assert is_ndarray(cropped_img, np.uint8)
-
-            embedding = self.model.get_feat(cropped_img)[0]
-            assert is_ndarray(embedding, np.float32)
-
-            face: RecognizedFace = {"box": detected_face["box"], "embedding": embedding}
-            results.append(face)
-
-        return results
@@ -1,54 +1,19 @@
-import cv2
 import numpy as np
 from numpy.typing import NDArray
 from PIL import Image

-from app.schemas import BoundingBox, is_ndarray
-
 _PIL_RESAMPLING_METHODS = {resampling.name.lower(): resampling for resampling in Image.Resampling}


-def resize_pil(img: Image.Image, size: int) -> Image.Image:
+def resize(img: Image.Image, size: int) -> Image.Image:
    if img.width < img.height:
        return img.resize((size, int((img.height / img.width) * size)), resample=Image.BICUBIC)
    else:
        return img.resize((int((img.width / img.height) * size), size), resample=Image.BICUBIC)


-def resize_np(img: NDArray[np.float32], size: int) -> NDArray[np.float32]:
-    height, width = img.shape[:2]
-    if width < height:
-        res = cv2.resize(img, (size, int((height / width) * size)), interpolation=cv2.INTER_CUBIC)
-    else:
-        res = cv2.resize(img, (int((width / height) * size), size), interpolation=cv2.INTER_CUBIC)
-    assert is_ndarray(res, np.float32)
-    return res
-
-
-# ported from server
-def crop_bounding_box(image: NDArray[np.float32], bbox: BoundingBox, scale: float = 1.0) -> NDArray[np.float32]:
-    middle_x = (bbox["x1"] + bbox["x2"]) // 2
-    middle_y = (bbox["y1"] + bbox["y2"]) // 2
-
-    target_half_size = int(max((bbox["x2"] - bbox["x1"]) / 2, (bbox["y2"] - bbox["y1"]) / 2) * scale)
-
-    new_half_size = min(
-        middle_x - max(0, middle_x - target_half_size),
-        middle_y - max(0, middle_y - target_half_size),
-        min(image.shape[1] - 1, middle_x + target_half_size) - middle_x,
-        min(image.shape[0] - 1, middle_y + target_half_size) - middle_y,
-    )
-
-    left = middle_x - new_half_size
-    top = middle_y - new_half_size
-    width = int(new_half_size * 2)
-    height = int(new_half_size * 2)
-
-    return image[top : top + height, left : left + width]
-
-
 # https://stackoverflow.com/a/60883103
-def crop_pil(img: Image.Image, size: int) -> Image.Image:
+def crop(img: Image.Image, size: int) -> Image.Image:
    left = int((img.size[0] / 2) - (size / 2))
    upper = int((img.size[1] / 2) - (size / 2))
    right = left + size
@@ -57,16 +22,6 @@ def crop_pil(img: Image.Image, size: int) -> Image.Image:
    return img.crop((left, upper, right, lower))


-def crop_np(img: NDArray[np.float32], size: int) -> NDArray[np.generic]:
-    height, width = img.shape[:2]
-    left = int((width / 2) - (size / 2))
-    upper = int((height / 2) - (size / 2))
-    right = left + size
-    lower = upper + size
-
-    return img[upper:lower, left:right]
-
-
 def to_numpy(img: Image.Image) -> NDArray[np.float32]:
    return np.asarray(img.convert("RGB")).astype(np.float32) / 255.0

@@ -3,7 +3,7 @@ from typing import Any, Protocol, TypedDict, TypeGuard

 import numpy as np
 import numpy.typing as npt
-from pydantic import BaseModel, Field
+from pydantic import BaseModel


 class StrEnum(str, Enum):
@@ -28,60 +28,26 @@ class BoundingBox(TypedDict):
    y2: int


-class ModelTask(StrEnum):
-    FACIAL_RECOGNITION = "facial-recognition"
-    SEARCH = "clip"
-
-
 class ModelType(StrEnum):
-    DETECTION = "detection"
-    PIPELINE = "pipeline"
-    RECOGNITION = "recognition"
-    TEXTUAL = "textual"
-    VISUAL = "visual"
+    CLIP = "clip"
+    FACIAL_RECOGNITION = "facial-recognition"


-class ModelFormat(StrEnum):
-    ARMNN = "armnn"
+class ModelRuntime(StrEnum):
    ONNX = "onnx"
-
-
-class ModelSource(StrEnum):
-    INSIGHTFACE = "insightface"
-    MCLIP = "mclip"
-    OPENCLIP = "openclip"
-
-
-class ModelSession(Protocol):
-    def run(
-        self,
-        output_names: list[str] | None,
-        input_feed: dict[str, npt.NDArray[np.float32]] | dict[str, npt.NDArray[np.int32]],
-        run_options: Any = None,
-    ) -> list[npt.NDArray[np.float32]]: ...
-
-
-class Predictor(Protocol):
-    loaded: bool
-
-    def load(self) -> None: ...
-
-    def predict(self, inputs: Any, **model_kwargs: Any) -> Any: ...
+    ARMNN = "armnn"


 class HasProfiling(Protocol):
    profiling: dict[str, float]


-class DetectedFace(TypedDict):
-    box: BoundingBox
-    score: float
-    landmarks: npt.NDArray[np.float32] | None
-
-
-class RecognizedFace(TypedDict):
-    box: BoundingBox
+class Face(TypedDict):
+    boundingBox: BoundingBox
    embedding: npt.NDArray[np.float32]
+    imageWidth: int
+    imageHeight: int
+    score: float


 def has_profiling(obj: Any) -> TypeGuard[HasProfiling]:
@@ -17,14 +17,13 @@ from pytest import MonkeyPatch
 from pytest_mock import MockerFixture

 from app.main import load, preload_models
-from app.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder
-from app.models.clip.visual import OpenClipVisualEncoder
-from app.models.facial_recognition.recognition import FaceRecognizer

 from .config import Settings, log, settings
 from .models.base import InferenceModel
 from .models.cache import ModelCache
-from .schemas import ModelFormat, ModelTask, ModelType
+from .models.clip import MCLIPEncoder, OpenCLIPEncoder
+from .models.facial_recognition import FaceRecognizer
+from .schemas import ModelRuntime, ModelType


 class TestBase:
@@ -36,13 +35,13 @@ class TestBase:

    @pytest.mark.providers(CPU_EP)
    def test_sets_cpu_provider(self, providers: list[str]) -> None:
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

        assert encoder.providers == self.CPU_EP

    @pytest.mark.providers(CUDA_EP)
    def test_sets_cuda_provider_if_available(self, providers: list[str]) -> None:
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

        assert encoder.providers == self.CUDA_EP

@@ -51,7 +50,7 @@ class TestBase:
        mocked = mocker.patch("app.models.base.ort.capi._pybind_state")
        mocked.get_available_openvino_device_ids.return_value = ["GPU.0", "CPU"]

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

        assert encoder.providers == self.OV_EP

@@ -60,25 +59,25 @@ class TestBase:
        mocked = mocker.patch("app.models.base.ort.capi._pybind_state")
        mocked.get_available_openvino_device_ids.return_value = ["CPU"]

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

        assert encoder.providers == self.CPU_EP

    @pytest.mark.providers(CUDA_EP_OUT_OF_ORDER)
    def test_sets_providers_in_correct_order(self, providers: list[str]) -> None:
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

        assert encoder.providers == self.CUDA_EP

    @pytest.mark.providers(TRT_EP)
    def test_ignores_unsupported_providers(self, providers: list[str]) -> None:
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

        assert encoder.providers == self.CUDA_EP

    def test_sets_provider_kwarg(self) -> None:
        providers = ["CUDAExecutionProvider"]
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", providers=providers)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", providers=providers)

        assert encoder.providers == providers

@@ -86,9 +85,7 @@ class TestBase:
        mocked = mocker.patch("app.models.base.ort.capi._pybind_state")
        mocked.get_available_openvino_device_ids.return_value = ["GPU.0", "CPU"]

-        encoder = OpenClipTextualEncoder(
-            "ViT-B-32__openai", providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"]
-        )
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"])

        assert encoder.provider_options == [
            {"device_type": "GPU_FP32", "cache_dir": (encoder.cache_dir / "openvino").as_posix()},
@@ -96,7 +93,7 @@ class TestBase:
        ]

    def test_sets_provider_options_kwarg(self) -> None:
-        encoder = OpenClipTextualEncoder(
+        encoder = OpenCLIPEncoder(
            "ViT-B-32__openai",
            providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"],
            provider_options=[],
@@ -105,7 +102,7 @@ class TestBase:
        assert encoder.provider_options == []

    def test_sets_default_sess_options(self) -> None:
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

        assert encoder.sess_options.execution_mode == ort.ExecutionMode.ORT_SEQUENTIAL
        assert encoder.sess_options.inter_op_num_threads == 1
@@ -113,9 +110,7 @@ class TestBase:
        assert encoder.sess_options.enable_cpu_mem_arena is False

    def test_sets_default_sess_options_does_not_set_threads_if_non_cpu_and_default_threads(self) -> None:
-        encoder = OpenClipTextualEncoder(
-            "ViT-B-32__openai", providers=["CUDAExecutionProvider", "CPUExecutionProvider"]
-        )
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", providers=["CUDAExecutionProvider", "CPUExecutionProvider"])

        assert encoder.sess_options.inter_op_num_threads == 0
        assert encoder.sess_options.intra_op_num_threads == 0
@@ -125,16 +120,14 @@ class TestBase:
        mock_settings.model_inter_op_threads = 2
        mock_settings.model_intra_op_threads = 4

-        encoder = OpenClipTextualEncoder(
-            "ViT-B-32__openai", providers=["CUDAExecutionProvider", "CPUExecutionProvider"]
-        )
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", providers=["CUDAExecutionProvider", "CPUExecutionProvider"])

        assert encoder.sess_options.inter_op_num_threads == 2
        assert encoder.sess_options.intra_op_num_threads == 4

    def test_sets_sess_options_kwarg(self) -> None:
        sess_options = ort.SessionOptions()
-        encoder = OpenClipTextualEncoder(
+        encoder = OpenCLIPEncoder(
            "ViT-B-32__openai",
            providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"],
            provider_options=[],
@@ -144,13 +137,13 @@ class TestBase:
        assert sess_options is encoder.sess_options

    def test_sets_default_cache_dir(self) -> None:
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

        assert encoder.cache_dir == Path(settings.cache_folder) / "clip" / "ViT-B-32__openai"

    def test_sets_cache_dir_kwarg(self) -> None:
        cache_dir = Path("/test_cache")
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=cache_dir)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=cache_dir)

        assert encoder.cache_dir == cache_dir

@@ -158,29 +151,29 @@ class TestBase:
        mocker.patch.object(settings, "ann", True)
        mocker.patch("ann.ann.is_available", False)

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

-        assert encoder.preferred_runtime == ModelFormat.ONNX
+        assert encoder.preferred_runtime == ModelRuntime.ONNX

    def test_sets_default_preferred_runtime_to_armnn_if_available(self, mocker: MockerFixture) -> None:
        mocker.patch.object(settings, "ann", True)
        mocker.patch("ann.ann.is_available", True)

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")

-        assert encoder.preferred_runtime == ModelFormat.ARMNN
+        assert encoder.preferred_runtime == ModelRuntime.ARMNN

    def test_sets_preferred_runtime_kwarg(self, mocker: MockerFixture) -> None:
        mocker.patch.object(settings, "ann", False)
        mocker.patch("ann.ann.is_available", False)

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", preferred_runtime=ModelFormat.ARMNN)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", preferred_runtime=ModelRuntime.ARMNN)

-        assert encoder.preferred_runtime == ModelFormat.ARMNN
+        assert encoder.preferred_runtime == ModelRuntime.ARMNN

    def test_casts_cache_dir_string_to_path(self) -> None:
        cache_dir = "/test_cache"
-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=cache_dir)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=cache_dir)

        assert encoder.cache_dir == Path(cache_dir)

@@ -193,7 +186,7 @@ class TestBase:
        mocker.patch("app.models.base.Path", return_value=mock_cache_dir)
        info = mocker.spy(log, "info")

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir)
        encoder.clear_cache()

        mock_rmtree.assert_called_once_with(encoder.cache_dir)
@@ -208,7 +201,7 @@ class TestBase:
        mocker.patch("app.models.base.Path", return_value=mock_cache_dir)
        warning = mocker.spy(log, "warning")

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir)
        encoder.clear_cache()

        mock_rmtree.assert_not_called()
@@ -222,7 +215,7 @@ class TestBase:
        mock_cache_dir.is_dir.return_value = True
        mocker.patch("app.models.base.Path", return_value=mock_cache_dir)

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir)
        with pytest.raises(RuntimeError):
            encoder.clear_cache()

@@ -237,7 +230,7 @@ class TestBase:
        mocker.patch("app.models.base.Path", return_value=mock_cache_dir)
        warning = mocker.spy(log, "warning")

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir=mock_cache_dir)
        encoder.clear_cache()

        mock_rmtree.assert_not_called()
@@ -252,7 +245,7 @@ class TestBase:
        mock_model_path.with_suffix.return_value = mock_model_path
        mock_ann = mocker.patch("app.models.base.AnnSession")

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")
        encoder._make_session(mock_model_path)

        mock_ann.assert_called_once()
@@ -270,7 +263,7 @@ class TestBase:
        mock_ann = mocker.patch("app.models.base.AnnSession")
        mock_ort = mocker.patch("app.models.base.ort.InferenceSession")

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")
        encoder._make_session(mock_armnn_path)

        mock_ort.assert_called_once()
@@ -284,7 +277,7 @@ class TestBase:
        mock_ann = mocker.patch("app.models.base.AnnSession")
        mock_ort = mocker.patch("app.models.base.ort.InferenceSession")

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai")
        with pytest.raises(ValueError):
            encoder._make_session(mock_model_path)

@@ -294,7 +287,7 @@ class TestBase:
    def test_download(self, mocker: MockerFixture) -> None:
        mock_snapshot_download = mocker.patch("app.models.base.snapshot_download")

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir="/path/to/cache")
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir="/path/to/cache")
        encoder.download()

        mock_snapshot_download.assert_called_once_with(
@@ -308,7 +301,7 @@ class TestBase:
    def test_download_downloads_armnn_if_preferred_runtime(self, mocker: MockerFixture) -> None:
        mock_snapshot_download = mocker.patch("app.models.base.snapshot_download")

-        encoder = OpenClipTextualEncoder("ViT-B-32__openai", preferred_runtime=ModelFormat.ARMNN)
+        encoder = OpenCLIPEncoder("ViT-B-32__openai", preferred_runtime=ModelRuntime.ARMNN)
        encoder.download()

        mock_snapshot_download.assert_called_once_with(
@@ -330,18 +323,21 @@ class TestCLIP:
        mocker: MockerFixture,
        clip_model_cfg: dict[str, Any],
        clip_preprocess_cfg: Callable[[Path], dict[str, Any]],
+        clip_tokenizer_cfg: Callable[[Path], dict[str, Any]],
    ) -> None:
-        mocker.patch.object(OpenClipVisualEncoder, "download")
-        mocker.patch.object(OpenClipVisualEncoder, "model_cfg", clip_model_cfg)
-        mocker.patch.object(OpenClipVisualEncoder, "preprocess_cfg", clip_preprocess_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "download")
+        mocker.patch.object(OpenCLIPEncoder, "model_cfg", clip_model_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "preprocess_cfg", clip_preprocess_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "tokenizer_cfg", clip_tokenizer_cfg)

        mocked = mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
        mocked.run.return_value = [[self.embedding]]
        mocker.patch("app.models.clip.Tokenizer.from_file", autospec=True)

-        clip_encoder = OpenClipVisualEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="vision")
+        clip_encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="vision")
        embedding = clip_encoder.predict(pil_image)

+        assert clip_encoder.mode == "vision"
        assert isinstance(embedding, np.ndarray)
        assert embedding.shape[0] == clip_model_cfg["embed_dim"]
        assert embedding.dtype == np.float32
@@ -351,19 +347,22 @@ class TestCLIP:
        self,
        mocker: MockerFixture,
        clip_model_cfg: dict[str, Any],
+        clip_preprocess_cfg: Callable[[Path], dict[str, Any]],
        clip_tokenizer_cfg: Callable[[Path], dict[str, Any]],
    ) -> None:
-        mocker.patch.object(OpenClipTextualEncoder, "download")
-        mocker.patch.object(OpenClipTextualEncoder, "model_cfg", clip_model_cfg)
-        mocker.patch.object(OpenClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "download")
+        mocker.patch.object(OpenCLIPEncoder, "model_cfg", clip_model_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "preprocess_cfg", clip_preprocess_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "tokenizer_cfg", clip_tokenizer_cfg)

        mocked = mocker.patch.object(InferenceModel, "_make_session", autospec=True).return_value
        mocked.run.return_value = [[self.embedding]]
        mocker.patch("app.models.clip.Tokenizer.from_file", autospec=True)

-        clip_encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="text")
+        clip_encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="text")
        embedding = clip_encoder.predict("test search query")

+        assert clip_encoder.mode == "text"
        assert isinstance(embedding, np.ndarray)
        assert embedding.shape[0] == clip_model_cfg["embed_dim"]
        assert embedding.dtype == np.float32
@@ -373,16 +372,18 @@ class TestCLIP:
        self,
        mocker: MockerFixture,
        clip_model_cfg: dict[str, Any],
+        clip_preprocess_cfg: Callable[[Path], dict[str, Any]],
        clip_tokenizer_cfg: Callable[[Path], dict[str, Any]],
    ) -> None:
-        mocker.patch.object(OpenClipTextualEncoder, "download")
-        mocker.patch.object(OpenClipTextualEncoder, "model_cfg", clip_model_cfg)
-        mocker.patch.object(OpenClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "download")
+        mocker.patch.object(OpenCLIPEncoder, "model_cfg", clip_model_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "preprocess_cfg", clip_preprocess_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
        mock_tokenizer = mocker.patch("app.models.clip.Tokenizer.from_file", autospec=True).return_value
        mock_ids = [randint(0, 50000) for _ in range(77)]
        mock_tokenizer.encode.return_value = SimpleNamespace(ids=mock_ids)

-        clip_encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="text")
+        clip_encoder = OpenCLIPEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="text")
        clip_encoder._load_tokenizer()
        tokens = clip_encoder.tokenize("test search query")

@@ -396,17 +397,19 @@ class TestCLIP:
        self,
        mocker: MockerFixture,
        clip_model_cfg: dict[str, Any],
+        clip_preprocess_cfg: Callable[[Path], dict[str, Any]],
        clip_tokenizer_cfg: Callable[[Path], dict[str, Any]],
    ) -> None:
-        mocker.patch.object(MClipTextualEncoder, "download")
-        mocker.patch.object(MClipTextualEncoder, "model_cfg", clip_model_cfg)
-        mocker.patch.object(MClipTextualEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "download")
+        mocker.patch.object(OpenCLIPEncoder, "model_cfg", clip_model_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "preprocess_cfg", clip_preprocess_cfg)
+        mocker.patch.object(OpenCLIPEncoder, "tokenizer_cfg", clip_tokenizer_cfg)
        mock_tokenizer = mocker.patch("app.models.clip.Tokenizer.from_file", autospec=True).return_value
        mock_ids = [randint(0, 50000) for _ in range(77)]
        mock_attention_mask = [randint(0, 1) for _ in range(77)]
        mock_tokenizer.encode.return_value = SimpleNamespace(ids=mock_ids, attention_mask=mock_attention_mask)

-        clip_encoder = MClipTextualEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="text")
+        clip_encoder = MCLIPEncoder("ViT-B-32__openai", cache_dir="test_cache", mode="text")
        clip_encoder._load_tokenizer()
        tokens = clip_encoder.tokenize("test search query")

@@ -437,12 +440,12 @@ class TestFaceRecognition:
        score = np.array([[0.67]] * num_faces).astype(np.float32)
        kpss = np.random.rand(num_faces, 5, 2).astype(np.float32)
        det_model.detect.return_value = (np.concatenate([bbox, score], axis=-1), kpss)
-        face_recognizer.model = det_model
+        face_recognizer.det_model = det_model

        rec_model = mock.Mock()
        embedding = np.random.rand(num_faces, 512).astype(np.float32)
        rec_model.get_feat.return_value = embedding
-        face_recognizer.model = rec_model
+        face_recognizer.rec_model = rec_model

        faces = face_recognizer.predict(cv_image)

@@ -462,28 +465,24 @@ class TestFaceRecognition:
 class TestCache:
    async def test_caches(self, mock_get_model: mock.Mock) -> None:
        model_cache = ModelCache()
-        await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION)
-        await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION)
+        await model_cache.get("test_model_name", ModelType.FACIAL_RECOGNITION)
+        await model_cache.get("test_model_name", ModelType.FACIAL_RECOGNITION)
        assert len(model_cache.cache._cache) == 1
        mock_get_model.assert_called_once()

    async def test_kwargs_used(self, mock_get_model: mock.Mock) -> None:
        model_cache = ModelCache()
-        await model_cache.get(
-            "test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, cache_dir="test_cache"
-        )
-        mock_get_model.assert_called_once_with(
-            ModelTask.FACIAL_RECOGNITION, ModelType.RECOGNITION, "test_model_name", cache_dir="test_cache"
-        )
+        await model_cache.get("test_model_name", ModelType.FACIAL_RECOGNITION, cache_dir="test_cache")
+        mock_get_model.assert_called_once_with(ModelType.FACIAL_RECOGNITION, "test_model_name", cache_dir="test_cache")

    async def test_different_clip(self, mock_get_model: mock.Mock) -> None:
        model_cache = ModelCache()
-        await model_cache.get("test_image_model_name", ModelType.VISUAL, ModelTask.SEARCH)
-        await model_cache.get("test_text_model_name", ModelType.TEXTUAL, ModelTask.SEARCH)
+        await model_cache.get("test_image_model_name", ModelType.CLIP)
+        await model_cache.get("test_text_model_name", ModelType.CLIP)
        mock_get_model.assert_has_calls(
            [
-                mock.call(ModelTask.SEARCH, "test_image_model_name"),
-                mock.call(ModelTask.SEARCH, "test_text_model_name"),
+                mock.call(ModelType.CLIP, "test_image_model_name"),
+                mock.call(ModelType.CLIP, "test_text_model_name"),
            ]
        )
        assert len(model_cache.cache._cache) == 2
@@ -491,19 +490,19 @@ class TestCache:
    @mock.patch("app.models.cache.OptimisticLock", autospec=True)
    async def test_model_ttl(self, mock_lock_cls: mock.Mock, mock_get_model: mock.Mock) -> None:
        model_cache = ModelCache()
-        await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, ttl=100)
+        await model_cache.get("test_model_name", ModelType.FACIAL_RECOGNITION, ttl=100)
        mock_lock_cls.return_value.__aenter__.return_value.cas.assert_called_with(mock.ANY, ttl=100)

    @mock.patch("app.models.cache.SimpleMemoryCache.expire")
    async def test_revalidate_get(self, mock_cache_expire: mock.Mock, mock_get_model: mock.Mock) -> None:
        model_cache = ModelCache(revalidate=True)
-        await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, ttl=100)
-        await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, ttl=100)
+        await model_cache.get("test_model_name", ModelType.FACIAL_RECOGNITION, ttl=100)
+        await model_cache.get("test_model_name", ModelType.FACIAL_RECOGNITION, ttl=100)
        mock_cache_expire.assert_called_once_with(mock.ANY, 100)

    async def test_profiling(self, mock_get_model: mock.Mock) -> None:
        model_cache = ModelCache(profiling=True)
-        await model_cache.get("test_model_name", ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION, ttl=100)
+        await model_cache.get("test_model_name", ModelType.FACIAL_RECOGNITION, ttl=100)
        profiling = await model_cache.get_profiling()
        assert isinstance(profiling, dict)
        assert profiling == model_cache.cache.profiling
@@ -511,9 +510,9 @@ class TestCache:
    async def test_loads_mclip(self) -> None:
        model_cache = ModelCache()

-        model = await model_cache.get("XLM-Roberta-Large-Vit-B-32", ModelType.TEXTUAL, ModelTask.SEARCH)
+        model = await model_cache.get("XLM-Roberta-Large-Vit-B-32", ModelType.CLIP, mode="text")

-        assert isinstance(model, MClipTextualEncoder)
+        assert isinstance(model, MCLIPEncoder)
        assert model.model_name == "XLM-Roberta-Large-Vit-B-32"

    async def test_raises_exception_if_invalid_model_type(self) -> None:
@@ -521,13 +520,13 @@ class TestCache:
        model_cache = ModelCache()

        with pytest.raises(ValueError):
-            await model_cache.get("XLM-Roberta-Large-Vit-B-32", ModelType.TEXTUAL, invalid)
+            await model_cache.get("XLM-Roberta-Large-Vit-B-32", invalid, mode="text")

    async def test_raises_exception_if_unknown_model_name(self) -> None:
        model_cache = ModelCache()

        with pytest.raises(ValueError):
-            await model_cache.get("test_model_name", ModelType.TEXTUAL, ModelTask.SEARCH)
+            await model_cache.get("test_model_name", ModelType.CLIP, mode="text")

    async def test_preloads_models(self, monkeypatch: MonkeyPatch, mock_get_model: mock.Mock) -> None:
        os.environ["MACHINE_LEARNING_PRELOAD__CLIP"] = "ViT-B-32__openai"
@@ -542,12 +541,11 @@ class TestCache:
        monkeypatch.setattr("app.main.model_cache", model_cache)

        await preload_models(settings.preload)
-        assert len(model_cache.cache._cache) == 3
-        assert mock_get_model.call_count == 3
-        await model_cache.get("ViT-B-32__openai", ModelType.TEXTUAL, ModelTask.SEARCH, ttl=100)
-        await model_cache.get("ViT-B-32__openai", ModelType.VISUAL, ModelTask.SEARCH, ttl=100)
-        await model_cache.get("buffalo_s", ModelType.PIPELINE, ModelTask.FACIAL_RECOGNITION, ttl=100)
-        assert mock_get_model.call_count == 3
+        assert len(model_cache.cache._cache) == 2
+        assert mock_get_model.call_count == 2
+        await model_cache.get("ViT-B-32__openai", ModelType.CLIP, ttl=100)
+        await model_cache.get("buffalo_s", ModelType.FACIAL_RECOGNITION, ttl=100)
+        assert mock_get_model.call_count == 2


@pytest.mark.asyncio
@@ -574,8 +572,7 @@ class TestLoad:
    async def test_load_clears_cache_and_retries_if_os_error(self) -> None:
        mock_model = mock.Mock(spec=InferenceModel)
        mock_model.model_name = "test_model_name"
-        mock_model.model_type = ModelType.VISUAL
-        mock_model.model_task = ModelTask.SEARCH
+        mock_model.model_type = ModelType.CLIP
        mock_model.load.side_effect = [OSError, None]
        mock_model.loaded = False

@@ -1,4 +1,4 @@
-FROM mambaorg/micromamba:bookworm-slim@sha256:3624db3aee11d2f3f00d25f691aaaf8834b8bc4ec1b340dcdb48ef37281ea604 as builder
+FROM mambaorg/micromamba:bookworm-slim@sha256:881dbb68d115182b2c12e7e77dc54ea5005fd4e0123ca009d822adb5b0631785 as builder

 ENV NODE_ENV=production \
  TRANSFORMERS_CACHE=/cache \
@@ -1274,13 +1274,13 @@ socks = ["socksio (==1.*)"]

 [[package]]
 name = "huggingface-hub"
-version = "0.22.2"
+version = "0.21.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.22.2-py3-none-any.whl", hash = "sha256:3429e25f38ccb834d310804a3b711e7e4953db5a9e420cc147a5e194ca90fd17"},
-    {file = "huggingface_hub-0.22.2.tar.gz", hash = "sha256:32e9a9a6843c92f253ff9ca16b9985def4d80a93fb357af5353f770ef74a81be"},
+    {file = "huggingface_hub-0.21.4-py3-none-any.whl", hash = "sha256:df37c2c37fc6c82163cdd8a67ede261687d80d1e262526d6c0ce73b6b3630a7b"},
+    {file = "huggingface_hub-0.21.4.tar.gz", hash = "sha256:e1f4968c93726565a80edf6dc309763c7b546d0cfe79aa221206034d50155531"},
 ]

 [package.dependencies]
@@ -1293,16 +1293,15 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"

 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]

@@ -1568,13 +1567,13 @@ test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]

 [[package]]
 name = "locust"
-version = "2.24.1"
+version = "2.24.0"
 description = "Developer friendly load testing framework"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "locust-2.24.1-py3-none-any.whl", hash = "sha256:7f6ed4dc289aad66c304582e6d25e4de5d7c3b175b580332442ab2be35b9d916"},
-    {file = "locust-2.24.1.tar.gz", hash = "sha256:094161d44d94839bf1120fd7898b7abb9c143833743ba7c096beb470a236b9a7"},
+    {file = "locust-2.24.0-py3-none-any.whl", hash = "sha256:1b6b878b4fd0108fec956120815e69775d2616c8f4d1e9f365c222a7a5c17d9a"},
+    {file = "locust-2.24.0.tar.gz", hash = "sha256:6cffa378d995244a7472af6be1d6139331f19aee44e907deee73e0281252804d"},
 ]

 [package.dependencies]
@@ -2496,13 +2495,13 @@ testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygm

 [[package]]
 name = "pytest-asyncio"
-version = "0.23.6"
+version = "0.23.5.post1"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-asyncio-0.23.6.tar.gz", hash = "sha256:ffe523a89c1c222598c76856e76852b787504ddb72dd5d9b6617ffa8aa2cde5f"},
-    {file = "pytest_asyncio-0.23.6-py3-none-any.whl", hash = "sha256:68516fdd1018ac57b846c9846b954f0393b26f094764a28c955eabb0536a4e8a"},
+    {file = "pytest-asyncio-0.23.5.post1.tar.gz", hash = "sha256:b9a8806bea78c21276bc34321bbf234ba1b2ea5b30d9f0ce0f2dea45e4685813"},
+    {file = "pytest_asyncio-0.23.5.post1-py3-none-any.whl", hash = "sha256:30f54d27774e79ac409778889880242b0403d09cabd65b727ce90fe92dd5d80e"},
 ]

 [package.dependencies]
@@ -2532,17 +2531,17 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale

 [[package]]
 name = "pytest-mock"
-version = "3.14.0"
+version = "3.12.0"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
-    {file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
+    {file = "pytest-mock-3.12.0.tar.gz", hash = "sha256:31a40f038c22cad32287bb43932054451ff5583ff094bca6f675df2f8bc1a6e9"},
+    {file = "pytest_mock-3.12.0-py3-none-any.whl", hash = "sha256:0972719a7263072da3a21c7f4773069bcc7486027d7e8e1f81d98a47e701bc4f"},
 ]

 [package.dependencies]
-pytest = ">=6.2.5"
+pytest = ">=5.0"

 [package.extras]
 dev = ["pre-commit", "pytest-asyncio", "tox"]
@@ -2845,28 +2844,28 @@ files = [

 [[package]]
 name = "ruff"
-version = "0.3.4"
+version = "0.3.3"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "ruff-0.3.4-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3ee7880f653cc03749a3bfea720cf2a192e4f884925b0cf7eecce82f0ce5854"},
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+    {file = "ruff-0.3.3-py3-none-win_amd64.whl", hash = "sha256:be90bcae57c24d9f9d023b12d627e958eb55f595428bafcb7fec0791ad25ddfc"},
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+    {file = "ruff-0.3.3.tar.gz", hash = "sha256:38671be06f57a2f8aba957d9f701ea889aa5736be806f18c0cd03d6ff0cbca8d"},
 ]

 [[package]]
@@ -3290,13 +3289,13 @@ zstd = ["zstandard (>=0.18.0)"]

 [[package]]
 name = "uvicorn"
-version = "0.29.0"
+version = "0.28.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "uvicorn-0.29.0-py3-none-any.whl", hash = "sha256:2c2aac7ff4f4365c206fd773a39bf4ebd1047c238f8b8268ad996829323473de"},
-    {file = "uvicorn-0.29.0.tar.gz", hash = "sha256:6a69214c0b6a087462412670b3ef21224fa48cae0e452b5883e8e8bdfdd11dd0"},
+    {file = "uvicorn-0.28.0-py3-none-any.whl", hash = "sha256:6623abbbe6176204a4226e67607b4d52cc60ff62cda0ff177613645cefa2ece1"},
+    {file = "uvicorn-0.28.0.tar.gz", hash = "sha256:cab4473b5d1eaeb5a0f6375ac4bc85007ffc75c3cc1768816d9e5d589857b067"},
 ]

 [package.dependencies]
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "machine-learning"
-version = "1.100.0"
+version = "1.99.0"
 description = ""
 authors = ["Hau Tran <alex.tran1502@gmail.com>"]
 readme = "README.md"
@@ -35,8 +35,8 @@ platform :android do
      task: 'bundle', 
      build_type: 'Release',
      properties: {
-        "android.injected.version.code" => 130,
-        "android.injected.version.name" => "1.100.0",
+        "android.injected.version.code" => 129,
+        "android.injected.version.name" => "1.99.0",
      }
    )
    upload_to_play_store(skip_upload_apk: true, skip_upload_images: true, skip_upload_screenshots: true, aab: '../build/app/outputs/bundle/release/app-release.aab')
@@ -5,17 +5,17 @@
    
    
      
-      <testcase classname="fastlane.lanes" name="0: default_platform" time="0.000235">
+      <testcase classname="fastlane.lanes" name="0: default_platform" time="0.00024">
        
      </testcase>
    
      
-      <testcase classname="fastlane.lanes" name="1: bundleRelease" time="71.774783">
+      <testcase classname="fastlane.lanes" name="1: bundleRelease" time="81.32752">
        
      </testcase>
    
      
-      <testcase classname="fastlane.lanes" name="2: upload_to_play_store" time="32.283066">
+      <testcase classname="fastlane.lanes" name="2: upload_to_play_store" time="26.041597">
        
      </testcase>
    
@@ -283,10 +283,6 @@
  "map_settings_only_show_favorites": "Show Favorite Only",
  "map_settings_theme_settings": "Map Theme",
  "map_zoom_to_see_photos": "Zoom out to see photos",
-  "memories_all_caught_up": "All caught up",
-  "memories_check_back_tomorrow": "Check back tomorrow for more memories",
-  "memories_start_over": "Start Over",
-  "memories_swipe_to_close": "Swipe up to close",
  "monthly_title_text_date_format": "MMMM y",
  "motion_photos_page_title": "Motion Photos",
  "multiselect_grid_edit_date_time_err_read_only": "Cannot edit date of read only asset(s), skipping",
@@ -486,4 +482,4 @@
  "viewer_remove_from_stack": "Remove from Stack",
  "viewer_stack_use_as_main_asset": "Use as Main Asset",
  "viewer_unstack": "Un-Stack"
-}
+}
@@ -151,7 +151,7 @@ SPEC CHECKSUMS:
  flutter_native_splash: 52501b97d1c0a5f898d687f1646226c1f93c56ef
  flutter_udid: a2482c67a61b9c806ef59dd82ed8d007f1b7ac04
  flutter_web_auth: c25208760459cec375a3c39f6a8759165ca0fa4d
-  fluttertoast: fafc4fa4d01a6a9e4f772ecd190ffa525e9e2d9c
+  fluttertoast: 31b00dabfa7fb7bacd9e7dbee580d7a2ff4bf265
  geolocator_apple: 9157311f654584b9bb72686c55fc02a97b73f461
  image_picker_ios: 99dfe1854b4fa34d0364e74a78448a0151025425
  integration_test: 13825b8a9334a850581300559b8839134b124670
@@ -175,4 +175,4 @@ SPEC CHECKSUMS:

 PODFILE CHECKSUM: 64c9b5291666c0ca3caabdfe9865c141ac40321d

-COCOAPODS: 1.12.1
+COCOAPODS: 1.15.2
@@ -383,7 +383,7 @@
 				CODE_SIGN_ENTITLEMENTS = Runner/RunnerProfile.entitlements;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 146;
+				CURRENT_PROJECT_VERSION = 145;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_BITCODE = NO;
 				INFOPLIST_FILE = Runner/Info.plist;
@@ -525,7 +525,7 @@
 				CLANG_ENABLE_MODULES = YES;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 146;
+				CURRENT_PROJECT_VERSION = 145;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_BITCODE = NO;
 				INFOPLIST_FILE = Runner/Info.plist;
@@ -553,7 +553,7 @@
 				CLANG_ENABLE_MODULES = YES;
 				CODE_SIGN_IDENTITY = "Apple Development";
 				CODE_SIGN_STYLE = Automatic;
-				CURRENT_PROJECT_VERSION = 146;
+				CURRENT_PROJECT_VERSION = 145;
 				DEVELOPMENT_TEAM = 2F67MQ8R79;
 				ENABLE_BITCODE = NO;
 				INFOPLIST_FILE = Runner/Info.plist;
@@ -55,11 +55,11 @@
 		<key>CFBundlePackageType</key>
 		<string>APPL</string>
 		<key>CFBundleShortVersionString</key>
-		<string>1.100.0</string>
+		<string>1.99.0</string>
 		<key>CFBundleSignature</key>
 		<string>????</string>
 		<key>CFBundleVersion</key>
-		<string>146</string>
+		<string>145</string>
 		<key>FLTEnableImpeller</key>
 		<true/>
 		<key>ITSAppUsesNonExemptEncryption</key>
@@ -19,7 +19,7 @@ platform :ios do
  desc "iOS Beta"
  lane :beta do
    increment_version_number(
-      version_number: "1.100.0"
+      version_number: "1.99.0"
    )
    increment_build_number(
      build_number: latest_testflight_build_number + 1,
@@ -5,32 +5,32 @@
    
    
      
-      <testcase classname="fastlane.lanes" name="0: default_platform" time="0.000226">
+      <testcase classname="fastlane.lanes" name="0: default_platform" time="0.000246">
        
      </testcase>
    
      
-      <testcase classname="fastlane.lanes" name="1: increment_version_number" time="0.183824">
+      <testcase classname="fastlane.lanes" name="1: increment_version_number" time="0.175843">
        
      </testcase>
    
      
-      <testcase classname="fastlane.lanes" name="2: latest_testflight_build_number" time="3.799845">
+      <testcase classname="fastlane.lanes" name="2: latest_testflight_build_number" time="6.871371">
        
      </testcase>
    
      
-      <testcase classname="fastlane.lanes" name="3: increment_build_number" time="0.185425">
+      <testcase classname="fastlane.lanes" name="3: increment_build_number" time="0.189451">
        
      </testcase>
    
      
-      <testcase classname="fastlane.lanes" name="4: build_app" time="111.245268">
+      <testcase classname="fastlane.lanes" name="4: build_app" time="142.078248">
        
      </testcase>
    
      
-      <testcase classname="fastlane.lanes" name="5: upload_to_testflight" time="72.572736">
+      <testcase classname="fastlane.lanes" name="5: upload_to_testflight" time="78.774821">
        
      </testcase>
    
@@ -1,4 +1,3 @@
-import 'package:easy_localization/easy_localization.dart';
 import 'package:flutter/material.dart';
 import 'package:immich_mobile/constants/immich_colors.dart';
 import 'package:immich_mobile/extensions/build_context_extensions.dart';
@@ -56,27 +55,27 @@ class _MemoryEpilogueState extends State<MemoryEpilogue>
                ),
                const SizedBox(height: 16.0),
                Text(
-                  "memories_all_caught_up",
+                  'All caught up',
                  style: Theme.of(context).textTheme.headlineMedium?.copyWith(
                        color: Colors.white,
                      ),
-                ).tr(),
+                ),
                const SizedBox(height: 16.0),
                Text(
-                  "memories_check_back_tomorrow",
+                  'Check back tomorrow for more memories',
                  style: Theme.of(context).textTheme.bodyMedium?.copyWith(
                        color: Colors.white,
                      ),
-                ).tr(),
+                ),
                const SizedBox(height: 16.0),
                TextButton(
                  onPressed: widget.onStartOver,
                  child: Text(
-                    "memories_start_over",
+                    'Start Over',
                    style: context.textTheme.displayMedium?.copyWith(
                      color: immichDarkThemePrimaryColor,
                    ),
-                  ).tr(),
+                  ),
                ),
              ],
            ),
@@ -107,11 +106,11 @@ class _MemoryEpilogueState extends State<MemoryEpilogue>
                    ),
                  ),
                  Text(
-                    "memories_swipe_to_close",
+                    'Swipe up to close',
                    style: Theme.of(context).textTheme.bodyMedium?.copyWith(
                          color: Colors.white,
                        ),
-                  ).tr(),
+                  ),
                ],
              ),
            ),
@@ -72,6 +72,7 @@ doc/FileChecksumResponseDto.md
 doc/FileReportDto.md
 doc/FileReportFixDto.md
 doc/FileReportItemDto.md
+doc/ImageFormat.md
 doc/JobApi.md
 doc/JobCommand.md
 doc/JobCommandDto.md
@@ -169,7 +170,6 @@ doc/TagTypeEnum.md
 doc/ThumbnailFormat.md
 doc/TimeBucketResponseDto.md
 doc/TimeBucketSize.md
-doc/TimelineApi.md
 doc/ToneMapping.md
 doc/TranscodeHWAccel.md
 doc/TranscodePolicy.md
@@ -212,7 +212,6 @@ lib/api/server_info_api.dart
 lib/api/shared_link_api.dart
 lib/api/system_config_api.dart
 lib/api/tag_api.dart
-lib/api/timeline_api.dart
 lib/api/trash_api.dart
 lib/api/user_api.dart
 lib/api_client.dart
@@ -284,6 +283,7 @@ lib/model/file_checksum_response_dto.dart
 lib/model/file_report_dto.dart
 lib/model/file_report_fix_dto.dart
 lib/model/file_report_item_dto.dart
+lib/model/image_format.dart
 lib/model/job_command.dart
 lib/model/job_command_dto.dart
 lib/model/job_counts_dto.dart
@@ -461,6 +461,7 @@ test/file_checksum_response_dto_test.dart
 test/file_report_dto_test.dart
 test/file_report_fix_dto_test.dart
 test/file_report_item_dto_test.dart
+test/image_format_test.dart
 test/job_api_test.dart
 test/job_command_dto_test.dart
 test/job_command_test.dart
@@ -558,7 +559,6 @@ test/tag_type_enum_test.dart
 test/thumbnail_format_test.dart
 test/time_bucket_response_dto_test.dart
 test/time_bucket_size_test.dart
-test/timeline_api_test.dart
 test/tone_mapping_test.dart
 test/transcode_hw_accel_test.dart
 test/transcode_policy_test.dart
@@ -3,7 +3,7 @@ Immich API

 This Dart package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:

- API version: 1.100.0
+- API version: 1.99.0
 - Build package: org.openapitools.codegen.languages.DartClientCodegen

 ## Requirements
@@ -105,6 +105,8 @@ Class | Method | HTTP request | Description
 *AssetApi* | [**getMapMarkers**](doc//AssetApi.md#getmapmarkers) | **GET** /asset/map-marker | 
 *AssetApi* | [**getMemoryLane**](doc//AssetApi.md#getmemorylane) | **GET** /asset/memory-lane | 
 *AssetApi* | [**getRandom**](doc//AssetApi.md#getrandom) | **GET** /asset/random | 
+*AssetApi* | [**getTimeBucket**](doc//AssetApi.md#gettimebucket) | **GET** /asset/time-bucket | 
+*AssetApi* | [**getTimeBuckets**](doc//AssetApi.md#gettimebuckets) | **GET** /asset/time-buckets | 
 *AssetApi* | [**runAssetJobs**](doc//AssetApi.md#runassetjobs) | **POST** /asset/jobs | 
 *AssetApi* | [**searchAssets**](doc//AssetApi.md#searchassets) | **GET** /assets | 
 *AssetApi* | [**serveFile**](doc//AssetApi.md#servefile) | **GET** /asset/file/{id} | 
@@ -197,8 +199,6 @@ Class | Method | HTTP request | Description
 *TagApi* | [**tagAssets**](doc//TagApi.md#tagassets) | **PUT** /tag/{id}/assets | 
 *TagApi* | [**untagAssets**](doc//TagApi.md#untagassets) | **DELETE** /tag/{id}/assets | 
 *TagApi* | [**updateTag**](doc//TagApi.md#updatetag) | **PATCH** /tag/{id} | 
-*TimelineApi* | [**getTimeBucket**](doc//TimelineApi.md#gettimebucket) | **GET** /timeline/bucket | 
-*TimelineApi* | [**getTimeBuckets**](doc//TimelineApi.md#gettimebuckets) | **GET** /timeline/buckets | 
 *TrashApi* | [**emptyTrash**](doc//TrashApi.md#emptytrash) | **POST** /trash/empty | 
 *TrashApi* | [**restoreAssets**](doc//TrashApi.md#restoreassets) | **POST** /trash/restore/assets | 
 *TrashApi* | [**restoreTrash**](doc//TrashApi.md#restoretrash) | **POST** /trash/restore | 
@@ -277,6 +277,7 @@ Class | Method | HTTP request | Description
 - [FileReportDto](doc//FileReportDto.md)
 - [FileReportFixDto](doc//FileReportFixDto.md)
 - [FileReportItemDto](doc//FileReportItemDto.md)
+ - [ImageFormat](doc//ImageFormat.md)
 - [JobCommand](doc//JobCommand.md)
 - [JobCommandDto](doc//JobCommandDto.md)
 - [JobCountsDto](doc//JobCountsDto.md)
@@ -23,6 +23,8 @@ Method | HTTP request | Description
 [**getMapMarkers**](AssetApi.md#getmapmarkers) | **GET** /asset/map-marker | 
 [**getMemoryLane**](AssetApi.md#getmemorylane) | **GET** /asset/memory-lane | 
 [**getRandom**](AssetApi.md#getrandom) | **GET** /asset/random | 
+[**getTimeBucket**](AssetApi.md#gettimebucket) | **GET** /asset/time-bucket | 
+[**getTimeBuckets**](AssetApi.md#gettimebuckets) | **GET** /asset/time-buckets | 
 [**runAssetJobs**](AssetApi.md#runassetjobs) | **POST** /asset/jobs | 
 [**searchAssets**](AssetApi.md#searchassets) | **GET** /assets | 
 [**serveFile**](AssetApi.md#servefile) | **GET** /asset/file/{id} | 
@@ -831,6 +833,158 @@ Name | Type | Description  | Notes

 [[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

+# **getTimeBucket**
+> List<AssetResponseDto> getTimeBucket(size, timeBucket, albumId, isArchived, isFavorite, isTrashed, key, order, personId, userId, withPartners, withStacked)
+
+
+
+### Example
+```dart
+import 'package:openapi/api.dart';
+// TODO Configure API key authorization: cookie
+//defaultApiClient.getAuthentication<ApiKeyAuth>('cookie').apiKey = 'YOUR_API_KEY';
+// uncomment below to setup prefix (e.g. Bearer) for API key, if needed
+//defaultApiClient.getAuthentication<ApiKeyAuth>('cookie').apiKeyPrefix = 'Bearer';
+// TODO Configure API key authorization: api_key
+//defaultApiClient.getAuthentication<ApiKeyAuth>('api_key').apiKey = 'YOUR_API_KEY';
+// uncomment below to setup prefix (e.g. Bearer) for API key, if needed
+//defaultApiClient.getAuthentication<ApiKeyAuth>('api_key').apiKeyPrefix = 'Bearer';
+// TODO Configure HTTP Bearer authorization: bearer
+// Case 1. Use String Token
+//defaultApiClient.getAuthentication<HttpBearerAuth>('bearer').setAccessToken('YOUR_ACCESS_TOKEN');
+// Case 2. Use Function which generate token.
+// String yourTokenGeneratorFunction() { ... }
+//defaultApiClient.getAuthentication<HttpBearerAuth>('bearer').setAccessToken(yourTokenGeneratorFunction);
+
+final api_instance = AssetApi();
+final size = ; // TimeBucketSize | 
+final timeBucket = timeBucket_example; // String | 
+final albumId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
+final isArchived = true; // bool | 
+final isFavorite = true; // bool | 
+final isTrashed = true; // bool | 
+final key = key_example; // String | 
+final order = ; // AssetOrder | 
+final personId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
+final userId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
+final withPartners = true; // bool | 
+final withStacked = true; // bool | 
+
+try {
+    final result = api_instance.getTimeBucket(size, timeBucket, albumId, isArchived, isFavorite, isTrashed, key, order, personId, userId, withPartners, withStacked);
+    print(result);
+} catch (e) {
+    print('Exception when calling AssetApi->getTimeBucket: $e\n');
+}
+```
+
+### Parameters
+
+Name | Type | Description  | Notes
+------------- | ------------- | ------------- | -------------
+ **size** | [**TimeBucketSize**](.md)|  | 
+ **timeBucket** | **String**|  | 
+ **albumId** | **String**|  | [optional] 
+ **isArchived** | **bool**|  | [optional] 
+ **isFavorite** | **bool**|  | [optional] 
+ **isTrashed** | **bool**|  | [optional] 
+ **key** | **String**|  | [optional] 
+ **order** | [**AssetOrder**](.md)|  | [optional] 
+ **personId** | **String**|  | [optional] 
+ **userId** | **String**|  | [optional] 
+ **withPartners** | **bool**|  | [optional] 
+ **withStacked** | **bool**|  | [optional] 
+
+### Return type
+
+[**List<AssetResponseDto>**](AssetResponseDto.md)
+
+### Authorization
+
+[cookie](../README.md#cookie), [api_key](../README.md#api_key), [bearer](../README.md#bearer)
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
+
+# **getTimeBuckets**
+> List<TimeBucketResponseDto> getTimeBuckets(size, albumId, isArchived, isFavorite, isTrashed, key, order, personId, userId, withPartners, withStacked)
+
+
+
+### Example
+```dart
+import 'package:openapi/api.dart';
+// TODO Configure API key authorization: cookie
+//defaultApiClient.getAuthentication<ApiKeyAuth>('cookie').apiKey = 'YOUR_API_KEY';
+// uncomment below to setup prefix (e.g. Bearer) for API key, if needed
+//defaultApiClient.getAuthentication<ApiKeyAuth>('cookie').apiKeyPrefix = 'Bearer';
+// TODO Configure API key authorization: api_key
+//defaultApiClient.getAuthentication<ApiKeyAuth>('api_key').apiKey = 'YOUR_API_KEY';
+// uncomment below to setup prefix (e.g. Bearer) for API key, if needed
+//defaultApiClient.getAuthentication<ApiKeyAuth>('api_key').apiKeyPrefix = 'Bearer';
+// TODO Configure HTTP Bearer authorization: bearer
+// Case 1. Use String Token
+//defaultApiClient.getAuthentication<HttpBearerAuth>('bearer').setAccessToken('YOUR_ACCESS_TOKEN');
+// Case 2. Use Function which generate token.
+// String yourTokenGeneratorFunction() { ... }
+//defaultApiClient.getAuthentication<HttpBearerAuth>('bearer').setAccessToken(yourTokenGeneratorFunction);
+
+final api_instance = AssetApi();
+final size = ; // TimeBucketSize | 
+final albumId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
+final isArchived = true; // bool | 
+final isFavorite = true; // bool | 
+final isTrashed = true; // bool | 
+final key = key_example; // String | 
+final order = ; // AssetOrder | 
+final personId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
+final userId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
+final withPartners = true; // bool | 
+final withStacked = true; // bool | 
+
+try {
+    final result = api_instance.getTimeBuckets(size, albumId, isArchived, isFavorite, isTrashed, key, order, personId, userId, withPartners, withStacked);
+    print(result);
+} catch (e) {
+    print('Exception when calling AssetApi->getTimeBuckets: $e\n');
+}
+```
+
+### Parameters
+
+Name | Type | Description  | Notes
+------------- | ------------- | ------------- | -------------
+ **size** | [**TimeBucketSize**](.md)|  | 
+ **albumId** | **String**|  | [optional] 
+ **isArchived** | **bool**|  | [optional] 
+ **isFavorite** | **bool**|  | [optional] 
+ **isTrashed** | **bool**|  | [optional] 
+ **key** | **String**|  | [optional] 
+ **order** | [**AssetOrder**](.md)|  | [optional] 
+ **personId** | **String**|  | [optional] 
+ **userId** | **String**|  | [optional] 
+ **withPartners** | **bool**|  | [optional] 
+ **withStacked** | **bool**|  | [optional] 
+
+### Return type
+
+[**List<TimeBucketResponseDto>**](TimeBucketResponseDto.md)
+
+### Authorization
+
+[cookie](../README.md#cookie), [api_key](../README.md#api_key), [bearer](../README.md#bearer)
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
+
 # **runAssetJobs**
 > runAssetJobs(assetJobsDto)

@@ -886,7 +1040,7 @@ void (empty response body)
 [[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

 # **searchAssets**
-> List<AssetResponseDto> searchAssets(checksum, city, country, createdAfter, createdBefore, deviceAssetId, deviceId, encodedVideoPath, id, isArchived, isEncoded, isExternal, isFavorite, isMotion, isNotInAlbum, isOffline, isReadOnly, isVisible, lensModel, libraryId, make, model, order, originalFileName, originalPath, page, personIds, resizePath, size, state, takenAfter, takenBefore, trashedAfter, trashedBefore, type, updatedAfter, updatedBefore, webpPath, withArchived, withDeleted, withExif, withPeople, withStacked)
+> List<AssetResponseDto> searchAssets(checksum, city, country, createdAfter, createdBefore, deviceAssetId, deviceId, encodedVideoPath, id, isArchived, isEncoded, isExternal, isFavorite, isMotion, isNotInAlbum, isOffline, isReadOnly, isVisible, lensModel, libraryId, make, model, order, originalFileName, originalPath, page, personIds, previewPath, size, state, takenAfter, takenBefore, thumbnailPath, trashedAfter, trashedBefore, type, updatedAfter, updatedBefore, withArchived, withDeleted, withExif, withPeople, withStacked)



@@ -936,17 +1090,17 @@ final originalFileName = originalFileName_example; // String |
 final originalPath = originalPath_example; // String | 
 final page = 8.14; // num | 
 final personIds = []; // List<String> | 
-final resizePath = resizePath_example; // String | 
+final previewPath = previewPath_example; // String | 
 final size = 8.14; // num | 
 final state = state_example; // String | 
 final takenAfter = 2013-10-20T19:20:30+01:00; // DateTime | 
 final takenBefore = 2013-10-20T19:20:30+01:00; // DateTime | 
+final thumbnailPath = thumbnailPath_example; // String | 
 final trashedAfter = 2013-10-20T19:20:30+01:00; // DateTime | 
 final trashedBefore = 2013-10-20T19:20:30+01:00; // DateTime | 
 final type = ; // AssetTypeEnum | 
 final updatedAfter = 2013-10-20T19:20:30+01:00; // DateTime | 
 final updatedBefore = 2013-10-20T19:20:30+01:00; // DateTime | 
-final webpPath = webpPath_example; // String | 
 final withArchived = true; // bool | 
 final withDeleted = true; // bool | 
 final withExif = true; // bool | 
@@ -954,7 +1108,7 @@ final withPeople = true; // bool |
 final withStacked = true; // bool | 

 try {
-    final result = api_instance.searchAssets(checksum, city, country, createdAfter, createdBefore, deviceAssetId, deviceId, encodedVideoPath, id, isArchived, isEncoded, isExternal, isFavorite, isMotion, isNotInAlbum, isOffline, isReadOnly, isVisible, lensModel, libraryId, make, model, order, originalFileName, originalPath, page, personIds, resizePath, size, state, takenAfter, takenBefore, trashedAfter, trashedBefore, type, updatedAfter, updatedBefore, webpPath, withArchived, withDeleted, withExif, withPeople, withStacked);
+    final result = api_instance.searchAssets(checksum, city, country, createdAfter, createdBefore, deviceAssetId, deviceId, encodedVideoPath, id, isArchived, isEncoded, isExternal, isFavorite, isMotion, isNotInAlbum, isOffline, isReadOnly, isVisible, lensModel, libraryId, make, model, order, originalFileName, originalPath, page, personIds, previewPath, size, state, takenAfter, takenBefore, thumbnailPath, trashedAfter, trashedBefore, type, updatedAfter, updatedBefore, withArchived, withDeleted, withExif, withPeople, withStacked);
    print(result);
 } catch (e) {
    print('Exception when calling AssetApi->searchAssets: $e\n');
@@ -992,17 +1146,17 @@ Name | Type | Description  | Notes
 **originalPath** | **String**|  | [optional] 
 **page** | **num**|  | [optional] 
 **personIds** | [**List<String>**](String.md)|  | [optional] [default to const []]
- **resizePath** | **String**|  | [optional] 
+ **previewPath** | **String**|  | [optional] 
 **size** | **num**|  | [optional] 
 **state** | **String**|  | [optional] 
 **takenAfter** | **DateTime**|  | [optional] 
 **takenBefore** | **DateTime**|  | [optional] 
+ **thumbnailPath** | **String**|  | [optional] 
 **trashedAfter** | **DateTime**|  | [optional] 
 **trashedBefore** | **DateTime**|  | [optional] 
 **type** | [**AssetTypeEnum**](.md)|  | [optional] 
 **updatedAfter** | **DateTime**|  | [optional] 
 **updatedBefore** | **DateTime**|  | [optional] 
- **webpPath** | **String**|  | [optional] 
 **withArchived** | **bool**|  | [optional] [default to false]
 **withDeleted** | **bool**|  | [optional] 
 **withExif** | **bool**|  | [optional] 
@@ -12,7 +12,7 @@ Name | Type | Description | Notes
 **deviceAssetId** | **String** |  | 
 **deviceId** | **String** |  | 
 **id** | **String** |  | 
-**resizePath** | **String** |  | 
+**previewPath** | **String** |  | 

 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

@@ -12,7 +12,7 @@ Name | Type | Description | Notes
 **deviceId** | **String** |  | 
 **id** | **String** |  | 
 **object** | **String** |  | 
-**resizePath** | **String** |  | 
+**previewPath** | **String** |  | 

 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

@@ -0,0 +1,14 @@
+# openapi.model.ImageFormat
+
+## Load the model package
+```dart
+import 'package:openapi/api.dart';
+```
+
+## Properties
+Name | Type | Description | Notes
+------------ | ------------- | ------------- | -------------
+
+[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
+
+
@@ -10,7 +10,6 @@ Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **assets** | [**List<AssetResponseDto>**](AssetResponseDto.md) |  | [default to const []]
 **title** | **String** |  | 
-**yearsAgo** | **int** |  | 

 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

@@ -35,17 +35,17 @@ Name | Type | Description | Notes
 **originalPath** | **String** |  | [optional] 
 **page** | **num** |  | [optional] 
 **personIds** | **List<String>** |  | [optional] [default to const []]
-**resizePath** | **String** |  | [optional] 
+**previewPath** | **String** |  | [optional] 
 **size** | **num** |  | [optional] 
 **state** | **String** |  | [optional] 
 **takenAfter** | [**DateTime**](DateTime.md) |  | [optional] 
 **takenBefore** | [**DateTime**](DateTime.md) |  | [optional] 
+**thumbnailPath** | **String** |  | [optional] 
 **trashedAfter** | [**DateTime**](DateTime.md) |  | [optional] 
 **trashedBefore** | [**DateTime**](DateTime.md) |  | [optional] 
 **type** | [**AssetTypeEnum**](AssetTypeEnum.md) |  | [optional] 
 **updatedAfter** | [**DateTime**](DateTime.md) |  | [optional] 
 **updatedBefore** | [**DateTime**](DateTime.md) |  | [optional] 
-**webpPath** | **String** |  | [optional] 
 **withArchived** | **bool** |  | [optional] [default to false]
 **withDeleted** | **bool** |  | [optional] 
 **withExif** | **bool** |  | [optional] 
@@ -119,7 +119,7 @@ This endpoint does not need any parameter.
 [[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

 # **getMapStyle**
-> Object getMapStyle(theme, key)
+> Object getMapStyle(theme)



@@ -143,10 +143,9 @@ import 'package:openapi/api.dart';

 final api_instance = SystemConfigApi();
 final theme = ; // MapTheme | 
-final key = key_example; // String | 

 try {
-    final result = api_instance.getMapStyle(theme, key);
+    final result = api_instance.getMapStyle(theme);
    print(result);
 } catch (e) {
    print('Exception when calling SystemConfigApi->getMapStyle: $e\n');
@@ -158,7 +157,6 @@ try {
 Name | Type | Description  | Notes
 ------------- | ------------- | ------------- | -------------
 **theme** | [**MapTheme**](.md)|  | 
- **key** | **String**|  | [optional] 

 ### Return type

@@ -9,6 +9,7 @@ import 'package:openapi/api.dart';
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **ffmpeg** | [**SystemConfigFFmpegDto**](SystemConfigFFmpegDto.md) |  | 
+**image** | [**SystemConfigThumbnailDto**](SystemConfigThumbnailDto.md) |  | 
 **job** | [**SystemConfigJobDto**](SystemConfigJobDto.md) |  | 
 **library_** | [**SystemConfigLibraryDto**](SystemConfigLibraryDto.md) |  | 
 **logging** | [**SystemConfigLoggingDto**](SystemConfigLoggingDto.md) |  | 
@@ -21,7 +22,6 @@ Name | Type | Description | Notes
 **server** | [**SystemConfigServerDto**](SystemConfigServerDto.md) |  | 
 **storageTemplate** | [**SystemConfigStorageTemplateDto**](SystemConfigStorageTemplateDto.md) |  | 
 **theme** | [**SystemConfigThemeDto**](SystemConfigThemeDto.md) |  | 
-**thumbnail** | [**SystemConfigThumbnailDto**](SystemConfigThumbnailDto.md) |  | 
 **trash** | [**SystemConfigTrashDto**](SystemConfigTrashDto.md) |  | 
 **user** | [**SystemConfigUserDto**](SystemConfigUserDto.md) |  | 

@@ -9,9 +9,11 @@ import 'package:openapi/api.dart';
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **colorspace** | [**Colorspace**](Colorspace.md) |  | 
-**jpegSize** | **int** |  | 
+**previewFormat** | [**ImageFormat**](ImageFormat.md) |  | 
+**previewSize** | **int** |  | 
 **quality** | **int** |  | 
-**webpSize** | **int** |  | 
+**thumbnailFormat** | [**ImageFormat**](ImageFormat.md) |  | 
+**thumbnailSize** | **int** |  | 

 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

@@ -1,167 +0,0 @@
-# openapi.api.TimelineApi
-
-## Load the API package
-```dart
-import 'package:openapi/api.dart';
-```
-
-All URIs are relative to */api*
-
-Method | HTTP request | Description
------------- | ------------- | -------------
-[**getTimeBucket**](TimelineApi.md#gettimebucket) | **GET** /timeline/bucket | 
-[**getTimeBuckets**](TimelineApi.md#gettimebuckets) | **GET** /timeline/buckets | 
-
-
-# **getTimeBucket**
-> List<AssetResponseDto> getTimeBucket(size, timeBucket, albumId, isArchived, isFavorite, isTrashed, key, order, personId, userId, withPartners, withStacked)
-
-
-
-### Example
-```dart
-import 'package:openapi/api.dart';
-// TODO Configure API key authorization: cookie
-//defaultApiClient.getAuthentication<ApiKeyAuth>('cookie').apiKey = 'YOUR_API_KEY';
-// uncomment below to setup prefix (e.g. Bearer) for API key, if needed
-//defaultApiClient.getAuthentication<ApiKeyAuth>('cookie').apiKeyPrefix = 'Bearer';
-// TODO Configure API key authorization: api_key
-//defaultApiClient.getAuthentication<ApiKeyAuth>('api_key').apiKey = 'YOUR_API_KEY';
-// uncomment below to setup prefix (e.g. Bearer) for API key, if needed
-//defaultApiClient.getAuthentication<ApiKeyAuth>('api_key').apiKeyPrefix = 'Bearer';
-// TODO Configure HTTP Bearer authorization: bearer
-// Case 1. Use String Token
-//defaultApiClient.getAuthentication<HttpBearerAuth>('bearer').setAccessToken('YOUR_ACCESS_TOKEN');
-// Case 2. Use Function which generate token.
-// String yourTokenGeneratorFunction() { ... }
-//defaultApiClient.getAuthentication<HttpBearerAuth>('bearer').setAccessToken(yourTokenGeneratorFunction);
-
-final api_instance = TimelineApi();
-final size = ; // TimeBucketSize | 
-final timeBucket = timeBucket_example; // String | 
-final albumId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
-final isArchived = true; // bool | 
-final isFavorite = true; // bool | 
-final isTrashed = true; // bool | 
-final key = key_example; // String | 
-final order = ; // AssetOrder | 
-final personId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
-final userId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
-final withPartners = true; // bool | 
-final withStacked = true; // bool | 
-
-try {
-    final result = api_instance.getTimeBucket(size, timeBucket, albumId, isArchived, isFavorite, isTrashed, key, order, personId, userId, withPartners, withStacked);
-    print(result);
-} catch (e) {
-    print('Exception when calling TimelineApi->getTimeBucket: $e\n');
-}
-```
-
-### Parameters
-
-Name | Type | Description  | Notes
------------- | ------------- | ------------- | -------------
- **size** | [**TimeBucketSize**](.md)|  | 
- **timeBucket** | **String**|  | 
- **albumId** | **String**|  | [optional] 
- **isArchived** | **bool**|  | [optional] 
- **isFavorite** | **bool**|  | [optional] 
- **isTrashed** | **bool**|  | [optional] 
- **key** | **String**|  | [optional] 
- **order** | [**AssetOrder**](.md)|  | [optional] 
- **personId** | **String**|  | [optional] 
- **userId** | **String**|  | [optional] 
- **withPartners** | **bool**|  | [optional] 
- **withStacked** | **bool**|  | [optional] 
-
-### Return type
-
-[**List<AssetResponseDto>**](AssetResponseDto.md)
-
-### Authorization
-
-[cookie](../README.md#cookie), [api_key](../README.md#api_key), [bearer](../README.md#bearer)
-
-### HTTP request headers
-
- - **Content-Type**: Not defined
- - **Accept**: application/json
-
-[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
-
-# **getTimeBuckets**
-> List<TimeBucketResponseDto> getTimeBuckets(size, albumId, isArchived, isFavorite, isTrashed, key, order, personId, userId, withPartners, withStacked)
-
-
-
-### Example
-```dart
-import 'package:openapi/api.dart';
-// TODO Configure API key authorization: cookie
-//defaultApiClient.getAuthentication<ApiKeyAuth>('cookie').apiKey = 'YOUR_API_KEY';
-// uncomment below to setup prefix (e.g. Bearer) for API key, if needed
-//defaultApiClient.getAuthentication<ApiKeyAuth>('cookie').apiKeyPrefix = 'Bearer';
-// TODO Configure API key authorization: api_key
-//defaultApiClient.getAuthentication<ApiKeyAuth>('api_key').apiKey = 'YOUR_API_KEY';
-// uncomment below to setup prefix (e.g. Bearer) for API key, if needed
-//defaultApiClient.getAuthentication<ApiKeyAuth>('api_key').apiKeyPrefix = 'Bearer';
-// TODO Configure HTTP Bearer authorization: bearer
-// Case 1. Use String Token
-//defaultApiClient.getAuthentication<HttpBearerAuth>('bearer').setAccessToken('YOUR_ACCESS_TOKEN');
-// Case 2. Use Function which generate token.
-// String yourTokenGeneratorFunction() { ... }
-//defaultApiClient.getAuthentication<HttpBearerAuth>('bearer').setAccessToken(yourTokenGeneratorFunction);
-
-final api_instance = TimelineApi();
-final size = ; // TimeBucketSize | 
-final albumId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
-final isArchived = true; // bool | 
-final isFavorite = true; // bool | 
-final isTrashed = true; // bool | 
-final key = key_example; // String | 
-final order = ; // AssetOrder | 
-final personId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
-final userId = 38400000-8cf0-11bd-b23e-10b96e4ef00d; // String | 
-final withPartners = true; // bool | 
-final withStacked = true; // bool | 
-
-try {
-    final result = api_instance.getTimeBuckets(size, albumId, isArchived, isFavorite, isTrashed, key, order, personId, userId, withPartners, withStacked);
-    print(result);
-} catch (e) {
-    print('Exception when calling TimelineApi->getTimeBuckets: $e\n');
-}
-```
-
-### Parameters
-
-Name | Type | Description  | Notes
------------- | ------------- | ------------- | -------------
- **size** | [**TimeBucketSize**](.md)|  | 
- **albumId** | **String**|  | [optional] 
- **isArchived** | **bool**|  | [optional] 
- **isFavorite** | **bool**|  | [optional] 
- **isTrashed** | **bool**|  | [optional] 
- **key** | **String**|  | [optional] 
- **order** | [**AssetOrder**](.md)|  | [optional] 
- **personId** | **String**|  | [optional] 
- **userId** | **String**|  | [optional] 
- **withPartners** | **bool**|  | [optional] 
- **withStacked** | **bool**|  | [optional] 
-
-### Return type
-
-[**List<TimeBucketResponseDto>**](TimeBucketResponseDto.md)
-
-### Authorization
-
-[cookie](../README.md#cookie), [api_key](../README.md#api_key), [bearer](../README.md#bearer)
-
-### HTTP request headers
-
- - **Content-Type**: Not defined
- - **Accept**: application/json
-
-[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
-
@@ -47,7 +47,6 @@ part 'api/server_info_api.dart';
 part 'api/shared_link_api.dart';
 part 'api/system_config_api.dart';
 part 'api/tag_api.dart';
-part 'api/timeline_api.dart';
 part 'api/trash_api.dart';
 part 'api/user_api.dart';

@@ -112,6 +111,7 @@ part 'model/file_checksum_response_dto.dart';
 part 'model/file_report_dto.dart';
 part 'model/file_report_fix_dto.dart';
 part 'model/file_report_item_dto.dart';
+part 'model/image_format.dart';
 part 'model/job_command.dart';
 part 'model/job_command_dto.dart';
 part 'model/job_counts_dto.dart';
@@ -835,6 +835,255 @@ class AssetApi {
    return null;
  }

+  /// Performs an HTTP 'GET /asset/time-bucket' operation and returns the [Response].
+  /// Parameters:
+  ///
+  /// * [TimeBucketSize] size (required):
+  ///
+  /// * [String] timeBucket (required):
+  ///
+  /// * [String] albumId:
+  ///
+  /// * [bool] isArchived:
+  ///
+  /// * [bool] isFavorite:
+  ///
+  /// * [bool] isTrashed:
+  ///
+  /// * [String] key:
+  ///
+  /// * [AssetOrder] order:
+  ///
+  /// * [String] personId:
+  ///
+  /// * [String] userId:
+  ///
+  /// * [bool] withPartners:
+  ///
+  /// * [bool] withStacked:
+  Future<Response> getTimeBucketWithHttpInfo(TimeBucketSize size, String timeBucket, { String? albumId, bool? isArchived, bool? isFavorite, bool? isTrashed, String? key, AssetOrder? order, String? personId, String? userId, bool? withPartners, bool? withStacked, }) async {
+    // ignore: prefer_const_declarations
+    final path = r'/asset/time-bucket';
+
+    // ignore: prefer_final_locals
+    Object? postBody;
+
+    final queryParams = <QueryParam>[];
+    final headerParams = <String, String>{};
+    final formParams = <String, String>{};
+
+    if (albumId != null) {
+      queryParams.addAll(_queryParams('', 'albumId', albumId));
+    }
+    if (isArchived != null) {
+      queryParams.addAll(_queryParams('', 'isArchived', isArchived));
+    }
+    if (isFavorite != null) {
+      queryParams.addAll(_queryParams('', 'isFavorite', isFavorite));
+    }
+    if (isTrashed != null) {
+      queryParams.addAll(_queryParams('', 'isTrashed', isTrashed));
+    }
+    if (key != null) {
+      queryParams.addAll(_queryParams('', 'key', key));
+    }
+    if (order != null) {
+      queryParams.addAll(_queryParams('', 'order', order));
+    }
+    if (personId != null) {
+      queryParams.addAll(_queryParams('', 'personId', personId));
+    }
+      queryParams.addAll(_queryParams('', 'size', size));
+      queryParams.addAll(_queryParams('', 'timeBucket', timeBucket));
+    if (userId != null) {
+      queryParams.addAll(_queryParams('', 'userId', userId));
+    }
+    if (withPartners != null) {
+      queryParams.addAll(_queryParams('', 'withPartners', withPartners));
+    }
+    if (withStacked != null) {
+      queryParams.addAll(_queryParams('', 'withStacked', withStacked));
+    }
+
+    const contentTypes = <String>[];
+
+
+    return apiClient.invokeAPI(
+      path,
+      'GET',
+      queryParams,
+      postBody,
+      headerParams,
+      formParams,
+      contentTypes.isEmpty ? null : contentTypes.first,
+    );
+  }
+
+  /// Parameters:
+  ///
+  /// * [TimeBucketSize] size (required):
+  ///
+  /// * [String] timeBucket (required):
+  ///
+  /// * [String] albumId:
+  ///
+  /// * [bool] isArchived:
+  ///
+  /// * [bool] isFavorite:
+  ///
+  /// * [bool] isTrashed:
+  ///
+  /// * [String] key:
+  ///
+  /// * [AssetOrder] order:
+  ///
+  /// * [String] personId:
+  ///
+  /// * [String] userId:
+  ///
+  /// * [bool] withPartners:
+  ///
+  /// * [bool] withStacked:
+  Future<List<AssetResponseDto>?> getTimeBucket(TimeBucketSize size, String timeBucket, { String? albumId, bool? isArchived, bool? isFavorite, bool? isTrashed, String? key, AssetOrder? order, String? personId, String? userId, bool? withPartners, bool? withStacked, }) async {
+    final response = await getTimeBucketWithHttpInfo(size, timeBucket,  albumId: albumId, isArchived: isArchived, isFavorite: isFavorite, isTrashed: isTrashed, key: key, order: order, personId: personId, userId: userId, withPartners: withPartners, withStacked: withStacked, );
+    if (response.statusCode >= HttpStatus.badRequest) {
+      throw ApiException(response.statusCode, await _decodeBodyBytes(response));
+    }
+    // When a remote server returns no body with a status of 204, we shall not decode it.
+    // At the time of writing this, `dart:convert` will throw an "Unexpected end of input"
+    // FormatException when trying to decode an empty string.
+    if (response.body.isNotEmpty && response.statusCode != HttpStatus.noContent) {
+      final responseBody = await _decodeBodyBytes(response);
+      return (await apiClient.deserializeAsync(responseBody, 'List<AssetResponseDto>') as List)
+        .cast<AssetResponseDto>()
+        .toList(growable: false);
+
+    }
+    return null;
+  }
+
+  /// Performs an HTTP 'GET /asset/time-buckets' operation and returns the [Response].
+  /// Parameters:
+  ///
+  /// * [TimeBucketSize] size (required):
+  ///
+  /// * [String] albumId:
+  ///
+  /// * [bool] isArchived:
+  ///
+  /// * [bool] isFavorite:
+  ///
+  /// * [bool] isTrashed:
+  ///
+  /// * [String] key:
+  ///
+  /// * [AssetOrder] order:
+  ///
+  /// * [String] personId:
+  ///
+  /// * [String] userId:
+  ///
+  /// * [bool] withPartners:
+  ///
+  /// * [bool] withStacked:
+  Future<Response> getTimeBucketsWithHttpInfo(TimeBucketSize size, { String? albumId, bool? isArchived, bool? isFavorite, bool? isTrashed, String? key, AssetOrder? order, String? personId, String? userId, bool? withPartners, bool? withStacked, }) async {
+    // ignore: prefer_const_declarations
+    final path = r'/asset/time-buckets';
+
+    // ignore: prefer_final_locals
+    Object? postBody;
+
+    final queryParams = <QueryParam>[];
+    final headerParams = <String, String>{};
+    final formParams = <String, String>{};
+
+    if (albumId != null) {
+      queryParams.addAll(_queryParams('', 'albumId', albumId));
+    }
+    if (isArchived != null) {
+      queryParams.addAll(_queryParams('', 'isArchived', isArchived));
+    }
+    if (isFavorite != null) {
+      queryParams.addAll(_queryParams('', 'isFavorite', isFavorite));
+    }
+    if (isTrashed != null) {
+      queryParams.addAll(_queryParams('', 'isTrashed', isTrashed));
+    }
+    if (key != null) {
+      queryParams.addAll(_queryParams('', 'key', key));
+    }
+    if (order != null) {
+      queryParams.addAll(_queryParams('', 'order', order));
+    }
+    if (personId != null) {
+      queryParams.addAll(_queryParams('', 'personId', personId));
+    }
+      queryParams.addAll(_queryParams('', 'size', size));
+    if (userId != null) {
+      queryParams.addAll(_queryParams('', 'userId', userId));
+    }
+    if (withPartners != null) {
+      queryParams.addAll(_queryParams('', 'withPartners', withPartners));
+    }
+    if (withStacked != null) {
+      queryParams.addAll(_queryParams('', 'withStacked', withStacked));
+    }
+
+    const contentTypes = <String>[];
+
+
+    return apiClient.invokeAPI(
+      path,
+      'GET',
+      queryParams,
+      postBody,
+      headerParams,
+      formParams,
+      contentTypes.isEmpty ? null : contentTypes.first,
+    );
+  }
+
+  /// Parameters:
+  ///
+  /// * [TimeBucketSize] size (required):
+  ///
+  /// * [String] albumId:
+  ///
+  /// * [bool] isArchived:
+  ///
+  /// * [bool] isFavorite:
+  ///
+  /// * [bool] isTrashed:
+  ///
+  /// * [String] key:
+  ///
+  /// * [AssetOrder] order:
+  ///
+  /// * [String] personId:
+  ///
+  /// * [String] userId:
+  ///
+  /// * [bool] withPartners:
+  ///
+  /// * [bool] withStacked:
+  Future<List<TimeBucketResponseDto>?> getTimeBuckets(TimeBucketSize size, { String? albumId, bool? isArchived, bool? isFavorite, bool? isTrashed, String? key, AssetOrder? order, String? personId, String? userId, bool? withPartners, bool? withStacked, }) async {
+    final response = await getTimeBucketsWithHttpInfo(size,  albumId: albumId, isArchived: isArchived, isFavorite: isFavorite, isTrashed: isTrashed, key: key, order: order, personId: personId, userId: userId, withPartners: withPartners, withStacked: withStacked, );
+    if (response.statusCode >= HttpStatus.badRequest) {
+      throw ApiException(response.statusCode, await _decodeBodyBytes(response));
+    }
+    // When a remote server returns no body with a status of 204, we shall not decode it.
+    // At the time of writing this, `dart:convert` will throw an "Unexpected end of input"
+    // FormatException when trying to decode an empty string.
+    if (response.body.isNotEmpty && response.statusCode != HttpStatus.noContent) {
+      final responseBody = await _decodeBodyBytes(response);
+      return (await apiClient.deserializeAsync(responseBody, 'List<TimeBucketResponseDto>') as List)
+        .cast<TimeBucketResponseDto>()
+        .toList(growable: false);
+
+    }
+    return null;
+  }
+
  /// Performs an HTTP 'POST /asset/jobs' operation and returns the [Response].
  /// Parameters:
  ///
@@ -931,7 +1180,7 @@ class AssetApi {
  ///
  /// * [List<String>] personIds:
  ///
-  /// * [String] resizePath:
+  /// * [String] previewPath:
  ///
  /// * [num] size:
  ///
@@ -941,6 +1190,8 @@ class AssetApi {
  ///
  /// * [DateTime] takenBefore:
  ///
+  /// * [String] thumbnailPath:
+  ///
  /// * [DateTime] trashedAfter:
  ///
  /// * [DateTime] trashedBefore:
@@ -951,8 +1202,6 @@ class AssetApi {
  ///
  /// * [DateTime] updatedBefore:
  ///
-  /// * [String] webpPath:
-  ///
  /// * [bool] withArchived:
  ///
  /// * [bool] withDeleted:
@@ -962,7 +1211,7 @@ class AssetApi {
  /// * [bool] withPeople:
  ///
  /// * [bool] withStacked:
-  Future<Response> searchAssetsWithHttpInfo({ String? checksum, String? city, String? country, DateTime? createdAfter, DateTime? createdBefore, String? deviceAssetId, String? deviceId, String? encodedVideoPath, String? id, bool? isArchived, bool? isEncoded, bool? isExternal, bool? isFavorite, bool? isMotion, bool? isNotInAlbum, bool? isOffline, bool? isReadOnly, bool? isVisible, String? lensModel, String? libraryId, String? make, String? model, AssetOrder? order, String? originalFileName, String? originalPath, num? page, List<String>? personIds, String? resizePath, num? size, String? state, DateTime? takenAfter, DateTime? takenBefore, DateTime? trashedAfter, DateTime? trashedBefore, AssetTypeEnum? type, DateTime? updatedAfter, DateTime? updatedBefore, String? webpPath, bool? withArchived, bool? withDeleted, bool? withExif, bool? withPeople, bool? withStacked, }) async {
+  Future<Response> searchAssetsWithHttpInfo({ String? checksum, String? city, String? country, DateTime? createdAfter, DateTime? createdBefore, String? deviceAssetId, String? deviceId, String? encodedVideoPath, String? id, bool? isArchived, bool? isEncoded, bool? isExternal, bool? isFavorite, bool? isMotion, bool? isNotInAlbum, bool? isOffline, bool? isReadOnly, bool? isVisible, String? lensModel, String? libraryId, String? make, String? model, AssetOrder? order, String? originalFileName, String? originalPath, num? page, List<String>? personIds, String? previewPath, num? size, String? state, DateTime? takenAfter, DateTime? takenBefore, String? thumbnailPath, DateTime? trashedAfter, DateTime? trashedBefore, AssetTypeEnum? type, DateTime? updatedAfter, DateTime? updatedBefore, bool? withArchived, bool? withDeleted, bool? withExif, bool? withPeople, bool? withStacked, }) async {
    // ignore: prefer_const_declarations
    final path = r'/assets';

@@ -1054,8 +1303,8 @@ class AssetApi {
    if (personIds != null) {
      queryParams.addAll(_queryParams('multi', 'personIds', personIds));
    }
-    if (resizePath != null) {
-      queryParams.addAll(_queryParams('', 'resizePath', resizePath));
+    if (previewPath != null) {
+      queryParams.addAll(_queryParams('', 'previewPath', previewPath));
    }
    if (size != null) {
      queryParams.addAll(_queryParams('', 'size', size));
@@ -1069,6 +1318,9 @@ class AssetApi {
    if (takenBefore != null) {
      queryParams.addAll(_queryParams('', 'takenBefore', takenBefore));
    }
+    if (thumbnailPath != null) {
+      queryParams.addAll(_queryParams('', 'thumbnailPath', thumbnailPath));
+    }
    if (trashedAfter != null) {
      queryParams.addAll(_queryParams('', 'trashedAfter', trashedAfter));
    }
@@ -1084,9 +1336,6 @@ class AssetApi {
    if (updatedBefore != null) {
      queryParams.addAll(_queryParams('', 'updatedBefore', updatedBefore));
    }
-    if (webpPath != null) {
-      queryParams.addAll(_queryParams('', 'webpPath', webpPath));
-    }
    if (withArchived != null) {
      queryParams.addAll(_queryParams('', 'withArchived', withArchived));
    }
@@ -1173,7 +1422,7 @@ class AssetApi {
  ///
  /// * [List<String>] personIds:
  ///
-  /// * [String] resizePath:
+  /// * [String] previewPath:
  ///
  /// * [num] size:
  ///
@@ -1183,6 +1432,8 @@ class AssetApi {
  ///
  /// * [DateTime] takenBefore:
  ///
+  /// * [String] thumbnailPath:
+  ///
  /// * [DateTime] trashedAfter:
  ///
  /// * [DateTime] trashedBefore:
@@ -1193,8 +1444,6 @@ class AssetApi {
  ///
  /// * [DateTime] updatedBefore:
  ///
-  /// * [String] webpPath:
-  ///
  /// * [bool] withArchived:
  ///
  /// * [bool] withDeleted:
@@ -1204,8 +1453,8 @@ class AssetApi {
  /// * [bool] withPeople:
  ///
  /// * [bool] withStacked:
-  Future<List<AssetResponseDto>?> searchAssets({ String? checksum, String? city, String? country, DateTime? createdAfter, DateTime? createdBefore, String? deviceAssetId, String? deviceId, String? encodedVideoPath, String? id, bool? isArchived, bool? isEncoded, bool? isExternal, bool? isFavorite, bool? isMotion, bool? isNotInAlbum, bool? isOffline, bool? isReadOnly, bool? isVisible, String? lensModel, String? libraryId, String? make, String? model, AssetOrder? order, String? originalFileName, String? originalPath, num? page, List<String>? personIds, String? resizePath, num? size, String? state, DateTime? takenAfter, DateTime? takenBefore, DateTime? trashedAfter, DateTime? trashedBefore, AssetTypeEnum? type, DateTime? updatedAfter, DateTime? updatedBefore, String? webpPath, bool? withArchived, bool? withDeleted, bool? withExif, bool? withPeople, bool? withStacked, }) async {
-    final response = await searchAssetsWithHttpInfo( checksum: checksum, city: city, country: country, createdAfter: createdAfter, createdBefore: createdBefore, deviceAssetId: deviceAssetId, deviceId: deviceId, encodedVideoPath: encodedVideoPath, id: id, isArchived: isArchived, isEncoded: isEncoded, isExternal: isExternal, isFavorite: isFavorite, isMotion: isMotion, isNotInAlbum: isNotInAlbum, isOffline: isOffline, isReadOnly: isReadOnly, isVisible: isVisible, lensModel: lensModel, libraryId: libraryId, make: make, model: model, order: order, originalFileName: originalFileName, originalPath: originalPath, page: page, personIds: personIds, resizePath: resizePath, size: size, state: state, takenAfter: takenAfter, takenBefore: takenBefore, trashedAfter: trashedAfter, trashedBefore: trashedBefore, type: type, updatedAfter: updatedAfter, updatedBefore: updatedBefore, webpPath: webpPath, withArchived: withArchived, withDeleted: withDeleted, withExif: withExif, withPeople: withPeople, withStacked: withStacked, );
+  Future<List<AssetResponseDto>?> searchAssets({ String? checksum, String? city, String? country, DateTime? createdAfter, DateTime? createdBefore, String? deviceAssetId, String? deviceId, String? encodedVideoPath, String? id, bool? isArchived, bool? isEncoded, bool? isExternal, bool? isFavorite, bool? isMotion, bool? isNotInAlbum, bool? isOffline, bool? isReadOnly, bool? isVisible, String? lensModel, String? libraryId, String? make, String? model, AssetOrder? order, String? originalFileName, String? originalPath, num? page, List<String>? personIds, String? previewPath, num? size, String? state, DateTime? takenAfter, DateTime? takenBefore, String? thumbnailPath, DateTime? trashedAfter, DateTime? trashedBefore, AssetTypeEnum? type, DateTime? updatedAfter, DateTime? updatedBefore, bool? withArchived, bool? withDeleted, bool? withExif, bool? withPeople, bool? withStacked, }) async {
+    final response = await searchAssetsWithHttpInfo( checksum: checksum, city: city, country: country, createdAfter: createdAfter, createdBefore: createdBefore, deviceAssetId: deviceAssetId, deviceId: deviceId, encodedVideoPath: encodedVideoPath, id: id, isArchived: isArchived, isEncoded: isEncoded, isExternal: isExternal, isFavorite: isFavorite, isMotion: isMotion, isNotInAlbum: isNotInAlbum, isOffline: isOffline, isReadOnly: isReadOnly, isVisible: isVisible, lensModel: lensModel, libraryId: libraryId, make: make, model: model, order: order, originalFileName: originalFileName, originalPath: originalPath, page: page, personIds: personIds, previewPath: previewPath, size: size, state: state, takenAfter: takenAfter, takenBefore: takenBefore, thumbnailPath: thumbnailPath, trashedAfter: trashedAfter, trashedBefore: trashedBefore, type: type, updatedAfter: updatedAfter, updatedBefore: updatedBefore, withArchived: withArchived, withDeleted: withDeleted, withExif: withExif, withPeople: withPeople, withStacked: withStacked, );
    if (response.statusCode >= HttpStatus.badRequest) {
      throw ApiException(response.statusCode, await _decodeBodyBytes(response));
    }
@@ -102,9 +102,7 @@ class SystemConfigApi {
  /// Parameters:
  ///
  /// * [MapTheme] theme (required):
-  ///
-  /// * [String] key:
-  Future<Response> getMapStyleWithHttpInfo(MapTheme theme, { String? key, }) async {
+  Future<Response> getMapStyleWithHttpInfo(MapTheme theme,) async {
    // ignore: prefer_const_declarations
    final path = r'/system-config/map/style.json';

@@ -115,9 +113,6 @@ class SystemConfigApi {
    final headerParams = <String, String>{};
    final formParams = <String, String>{};

-    if (key != null) {
-      queryParams.addAll(_queryParams('', 'key', key));
-    }
      queryParams.addAll(_queryParams('', 'theme', theme));

    const contentTypes = <String>[];
@@ -137,10 +132,8 @@ class SystemConfigApi {
  /// Parameters:
  ///
  /// * [MapTheme] theme (required):
-  ///
-  /// * [String] key:
-  Future<Object?> getMapStyle(MapTheme theme, { String? key, }) async {
-    final response = await getMapStyleWithHttpInfo(theme,  key: key, );
+  Future<Object?> getMapStyle(MapTheme theme,) async {
+    final response = await getMapStyleWithHttpInfo(theme,);
    if (response.statusCode >= HttpStatus.badRequest) {
      throw ApiException(response.statusCode, await _decodeBodyBytes(response));
    }
@@ -1,267 +0,0 @@
-//
-// AUTO-GENERATED FILE, DO NOT MODIFY!
-//
-// @dart=2.12
-
-// ignore_for_file: unused_element, unused_import
-// ignore_for_file: always_put_required_named_parameters_first
-// ignore_for_file: constant_identifier_names
-// ignore_for_file: lines_longer_than_80_chars
-
-part of openapi.api;
-
-
-class TimelineApi {
-  TimelineApi([ApiClient? apiClient]) : apiClient = apiClient ?? defaultApiClient;
-
-  final ApiClient apiClient;
-
-  /// Performs an HTTP 'GET /timeline/bucket' operation and returns the [Response].
-  /// Parameters:
-  ///
-  /// * [TimeBucketSize] size (required):
-  ///
-  /// * [String] timeBucket (required):
-  ///
-  /// * [String] albumId:
-  ///
-  /// * [bool] isArchived:
-  ///
-  /// * [bool] isFavorite:
-  ///
-  /// * [bool] isTrashed:
-  ///
-  /// * [String] key:
-  ///
-  /// * [AssetOrder] order:
-  ///
-  /// * [String] personId:
-  ///
-  /// * [String] userId:
-  ///
-  /// * [bool] withPartners:
-  ///
-  /// * [bool] withStacked:
-  Future<Response> getTimeBucketWithHttpInfo(TimeBucketSize size, String timeBucket, { String? albumId, bool? isArchived, bool? isFavorite, bool? isTrashed, String? key, AssetOrder? order, String? personId, String? userId, bool? withPartners, bool? withStacked, }) async {
-    // ignore: prefer_const_declarations
-    final path = r'/timeline/bucket';
-
-    // ignore: prefer_final_locals
-    Object? postBody;
-
-    final queryParams = <QueryParam>[];
-    final headerParams = <String, String>{};
-    final formParams = <String, String>{};
-
-    if (albumId != null) {
-      queryParams.addAll(_queryParams('', 'albumId', albumId));
-    }
-    if (isArchived != null) {
-      queryParams.addAll(_queryParams('', 'isArchived', isArchived));
-    }
-    if (isFavorite != null) {
-      queryParams.addAll(_queryParams('', 'isFavorite', isFavorite));
-    }
-    if (isTrashed != null) {
-      queryParams.addAll(_queryParams('', 'isTrashed', isTrashed));
-    }
-    if (key != null) {
-      queryParams.addAll(_queryParams('', 'key', key));
-    }
-    if (order != null) {
-      queryParams.addAll(_queryParams('', 'order', order));
-    }
-    if (personId != null) {
-      queryParams.addAll(_queryParams('', 'personId', personId));
-    }
-      queryParams.addAll(_queryParams('', 'size', size));
-      queryParams.addAll(_queryParams('', 'timeBucket', timeBucket));
-    if (userId != null) {
-      queryParams.addAll(_queryParams('', 'userId', userId));
-    }
-    if (withPartners != null) {
-      queryParams.addAll(_queryParams('', 'withPartners', withPartners));
-    }
-    if (withStacked != null) {
-      queryParams.addAll(_queryParams('', 'withStacked', withStacked));
-    }
-
-    const contentTypes = <String>[];
-
-
-    return apiClient.invokeAPI(
-      path,
-      'GET',
-      queryParams,
-      postBody,
-      headerParams,
-      formParams,
-      contentTypes.isEmpty ? null : contentTypes.first,
-    );
-  }
-
-  /// Parameters:
-  ///
-  /// * [TimeBucketSize] size (required):
-  ///
-  /// * [String] timeBucket (required):
-  ///
-  /// * [String] albumId:
-  ///
-  /// * [bool] isArchived:
-  ///
-  /// * [bool] isFavorite:
-  ///
-  /// * [bool] isTrashed:
-  ///
-  /// * [String] key:
-  ///
-  /// * [AssetOrder] order:
-  ///
-  /// * [String] personId:
-  ///
-  /// * [String] userId:
-  ///
-  /// * [bool] withPartners:
-  ///
-  /// * [bool] withStacked:
-  Future<List<AssetResponseDto>?> getTimeBucket(TimeBucketSize size, String timeBucket, { String? albumId, bool? isArchived, bool? isFavorite, bool? isTrashed, String? key, AssetOrder? order, String? personId, String? userId, bool? withPartners, bool? withStacked, }) async {
-    final response = await getTimeBucketWithHttpInfo(size, timeBucket,  albumId: albumId, isArchived: isArchived, isFavorite: isFavorite, isTrashed: isTrashed, key: key, order: order, personId: personId, userId: userId, withPartners: withPartners, withStacked: withStacked, );
-    if (response.statusCode >= HttpStatus.badRequest) {
-      throw ApiException(response.statusCode, await _decodeBodyBytes(response));
-    }
-    // When a remote server returns no body with a status of 204, we shall not decode it.
-    // At the time of writing this, `dart:convert` will throw an "Unexpected end of input"
-    // FormatException when trying to decode an empty string.
-    if (response.body.isNotEmpty && response.statusCode != HttpStatus.noContent) {
-      final responseBody = await _decodeBodyBytes(response);
-      return (await apiClient.deserializeAsync(responseBody, 'List<AssetResponseDto>') as List)
-        .cast<AssetResponseDto>()
-        .toList(growable: false);
-
-    }
-    return null;
-  }
-
-  /// Performs an HTTP 'GET /timeline/buckets' operation and returns the [Response].
-  /// Parameters:
-  ///
-  /// * [TimeBucketSize] size (required):
-  ///
-  /// * [String] albumId:
-  ///
-  /// * [bool] isArchived:
-  ///
-  /// * [bool] isFavorite:
-  ///
-  /// * [bool] isTrashed:
-  ///
-  /// * [String] key:
-  ///
-  /// * [AssetOrder] order:
-  ///
-  /// * [String] personId:
-  ///
-  /// * [String] userId:
-  ///
-  /// * [bool] withPartners:
-  ///
-  /// * [bool] withStacked:
-  Future<Response> getTimeBucketsWithHttpInfo(TimeBucketSize size, { String? albumId, bool? isArchived, bool? isFavorite, bool? isTrashed, String? key, AssetOrder? order, String? personId, String? userId, bool? withPartners, bool? withStacked, }) async {
-    // ignore: prefer_const_declarations
-    final path = r'/timeline/buckets';
-
-    // ignore: prefer_final_locals
-    Object? postBody;
-
-    final queryParams = <QueryParam>[];
-    final headerParams = <String, String>{};
-    final formParams = <String, String>{};
-
-    if (albumId != null) {
-      queryParams.addAll(_queryParams('', 'albumId', albumId));
-    }
-    if (isArchived != null) {
-      queryParams.addAll(_queryParams('', 'isArchived', isArchived));
-    }
-    if (isFavorite != null) {
-      queryParams.addAll(_queryParams('', 'isFavorite', isFavorite));
-    }
-    if (isTrashed != null) {
-      queryParams.addAll(_queryParams('', 'isTrashed', isTrashed));
-    }
-    if (key != null) {
-      queryParams.addAll(_queryParams('', 'key', key));
-    }
-    if (order != null) {
-      queryParams.addAll(_queryParams('', 'order', order));
-    }
-    if (personId != null) {
-      queryParams.addAll(_queryParams('', 'personId', personId));
-    }
-      queryParams.addAll(_queryParams('', 'size', size));
-    if (userId != null) {
-      queryParams.addAll(_queryParams('', 'userId', userId));
-    }
-    if (withPartners != null) {
-      queryParams.addAll(_queryParams('', 'withPartners', withPartners));
-    }
-    if (withStacked != null) {
-      queryParams.addAll(_queryParams('', 'withStacked', withStacked));
-    }
-
-    const contentTypes = <String>[];
-
-
-    return apiClient.invokeAPI(
-      path,
-      'GET',
-      queryParams,
-      postBody,
-      headerParams,
-      formParams,
-      contentTypes.isEmpty ? null : contentTypes.first,
-    );
-  }
-
-  /// Parameters:
-  ///
-  /// * [TimeBucketSize] size (required):
-  ///
-  /// * [String] albumId:
-  ///
-  /// * [bool] isArchived:
-  ///
-  /// * [bool] isFavorite:
-  ///
-  /// * [bool] isTrashed:
-  ///
-  /// * [String] key:
-  ///
-  /// * [AssetOrder] order:
-  ///
-  /// * [String] personId:
-  ///
-  /// * [String] userId:
-  ///
-  /// * [bool] withPartners:
-  ///
-  /// * [bool] withStacked:
-  Future<List<TimeBucketResponseDto>?> getTimeBuckets(TimeBucketSize size, { String? albumId, bool? isArchived, bool? isFavorite, bool? isTrashed, String? key, AssetOrder? order, String? personId, String? userId, bool? withPartners, bool? withStacked, }) async {
-    final response = await getTimeBucketsWithHttpInfo(size,  albumId: albumId, isArchived: isArchived, isFavorite: isFavorite, isTrashed: isTrashed, key: key, order: order, personId: personId, userId: userId, withPartners: withPartners, withStacked: withStacked, );
-    if (response.statusCode >= HttpStatus.badRequest) {
-      throw ApiException(response.statusCode, await _decodeBodyBytes(response));
-    }
-    // When a remote server returns no body with a status of 204, we shall not decode it.
-    // At the time of writing this, `dart:convert` will throw an "Unexpected end of input"
-    // FormatException when trying to decode an empty string.
-    if (response.body.isNotEmpty && response.statusCode != HttpStatus.noContent) {
-      final responseBody = await _decodeBodyBytes(response);
-      return (await apiClient.deserializeAsync(responseBody, 'List<TimeBucketResponseDto>') as List)
-        .cast<TimeBucketResponseDto>()
-        .toList(growable: false);
-
-    }
-    return null;
-  }
-}
@@ -304,6 +304,8 @@ class ApiClient {
          return FileReportFixDto.fromJson(value);
        case 'FileReportItemDto':
          return FileReportItemDto.fromJson(value);
+        case 'ImageFormat':
+          return ImageFormatTypeTransformer().decode(value);
        case 'JobCommand':
          return JobCommandTypeTransformer().decode(value);
        case 'JobCommandDto':
@@ -79,6 +79,9 @@ String parameterToString(dynamic value) {
  if (value is EntityType) {
    return EntityTypeTypeTransformer().encode(value).toString();
  }
+  if (value is ImageFormat) {
+    return ImageFormatTypeTransformer().encode(value).toString();
+  }
  if (value is JobCommand) {
    return JobCommandTypeTransformer().encode(value).toString();
  }
@@ -17,7 +17,7 @@ class CuratedLocationsResponseDto {
    required this.deviceAssetId,
    required this.deviceId,
    required this.id,
-    required this.resizePath,
+    required this.previewPath,
  });

  String city;
@@ -28,7 +28,7 @@ class CuratedLocationsResponseDto {

  String id;

-  String resizePath;
+  String previewPath;

  @override
  bool operator ==(Object other) => identical(this, other) || other is CuratedLocationsResponseDto &&
@@ -36,7 +36,7 @@ class CuratedLocationsResponseDto {
    other.deviceAssetId == deviceAssetId &&
    other.deviceId == deviceId &&
    other.id == id &&
-    other.resizePath == resizePath;
+    other.previewPath == previewPath;

  @override
  int get hashCode =>
@@ -45,10 +45,10 @@ class CuratedLocationsResponseDto {
    (deviceAssetId.hashCode) +
    (deviceId.hashCode) +
    (id.hashCode) +
-    (resizePath.hashCode);
+    (previewPath.hashCode);

  @override
-  String toString() => 'CuratedLocationsResponseDto[city=$city, deviceAssetId=$deviceAssetId, deviceId=$deviceId, id=$id, resizePath=$resizePath]';
+  String toString() => 'CuratedLocationsResponseDto[city=$city, deviceAssetId=$deviceAssetId, deviceId=$deviceId, id=$id, previewPath=$previewPath]';

  Map<String, dynamic> toJson() {
    final json = <String, dynamic>{};
@@ -56,7 +56,7 @@ class CuratedLocationsResponseDto {
      json[r'deviceAssetId'] = this.deviceAssetId;
      json[r'deviceId'] = this.deviceId;
      json[r'id'] = this.id;
-      json[r'resizePath'] = this.resizePath;
+      json[r'previewPath'] = this.previewPath;
    return json;
  }

@@ -72,7 +72,7 @@ class CuratedLocationsResponseDto {
        deviceAssetId: mapValueOfType<String>(json, r'deviceAssetId')!,
        deviceId: mapValueOfType<String>(json, r'deviceId')!,
        id: mapValueOfType<String>(json, r'id')!,
-        resizePath: mapValueOfType<String>(json, r'resizePath')!,
+        previewPath: mapValueOfType<String>(json, r'previewPath')!,
      );
    }
    return null;
@@ -124,7 +124,7 @@ class CuratedLocationsResponseDto {
    'deviceAssetId',
    'deviceId',
    'id',
-    'resizePath',
+    'previewPath',
  };
 }

@@ -17,7 +17,7 @@ class CuratedObjectsResponseDto {
    required this.deviceId,
    required this.id,
    required this.object,
-    required this.resizePath,
+    required this.previewPath,
  });

  String deviceAssetId;
@@ -28,7 +28,7 @@ class CuratedObjectsResponseDto {

  String object;

-  String resizePath;
+  String previewPath;

  @override
  bool operator ==(Object other) => identical(this, other) || other is CuratedObjectsResponseDto &&
@@ -36,7 +36,7 @@ class CuratedObjectsResponseDto {
    other.deviceId == deviceId &&
    other.id == id &&
    other.object == object &&
-    other.resizePath == resizePath;
+    other.previewPath == previewPath;

  @override
  int get hashCode =>
@@ -45,10 +45,10 @@ class CuratedObjectsResponseDto {
    (deviceId.hashCode) +
    (id.hashCode) +
    (object.hashCode) +
-    (resizePath.hashCode);
+    (previewPath.hashCode);

  @override
-  String toString() => 'CuratedObjectsResponseDto[deviceAssetId=$deviceAssetId, deviceId=$deviceId, id=$id, object=$object, resizePath=$resizePath]';
+  String toString() => 'CuratedObjectsResponseDto[deviceAssetId=$deviceAssetId, deviceId=$deviceId, id=$id, object=$object, previewPath=$previewPath]';

  Map<String, dynamic> toJson() {
    final json = <String, dynamic>{};
@@ -56,7 +56,7 @@ class CuratedObjectsResponseDto {
      json[r'deviceId'] = this.deviceId;
      json[r'id'] = this.id;
      json[r'object'] = this.object;
-      json[r'resizePath'] = this.resizePath;
+      json[r'previewPath'] = this.previewPath;
    return json;
  }

@@ -72,7 +72,7 @@ class CuratedObjectsResponseDto {
        deviceId: mapValueOfType<String>(json, r'deviceId')!,
        id: mapValueOfType<String>(json, r'id')!,
        object: mapValueOfType<String>(json, r'object')!,
-        resizePath: mapValueOfType<String>(json, r'resizePath')!,
+        previewPath: mapValueOfType<String>(json, r'previewPath')!,
      );
    }
    return null;
@@ -124,7 +124,7 @@ class CuratedObjectsResponseDto {
    'deviceId',
    'id',
    'object',
-    'resizePath',
+    'previewPath',
  };
 }

@@ -0,0 +1,85 @@
+//
+// AUTO-GENERATED FILE, DO NOT MODIFY!
+//
+// @dart=2.12
+
+// ignore_for_file: unused_element, unused_import
+// ignore_for_file: always_put_required_named_parameters_first
+// ignore_for_file: constant_identifier_names
+// ignore_for_file: lines_longer_than_80_chars
+
+part of openapi.api;
+
+
+class ImageFormat {
+  /// Instantiate a new enum with the provided [value].
+  const ImageFormat._(this.value);
+
+  /// The underlying value of this enum member.
+  final String value;
+
+  @override
+  String toString() => value;
+
+  String toJson() => value;
+
+  static const jpeg = ImageFormat._(r'jpeg');
+  static const webp = ImageFormat._(r'webp');
+
+  /// List of all possible values in this [enum][ImageFormat].
+  static const values = <ImageFormat>[
+    jpeg,
+    webp,
+  ];
+
+  static ImageFormat? fromJson(dynamic value) => ImageFormatTypeTransformer().decode(value);
+
+  static List<ImageFormat> listFromJson(dynamic json, {bool growable = false,}) {
+    final result = <ImageFormat>[];
+    if (json is List && json.isNotEmpty) {
+      for (final row in json) {
+        final value = ImageFormat.fromJson(row);
+        if (value != null) {
+          result.add(value);
+        }
+      }
+    }
+    return result.toList(growable: growable);
+  }
+}
+
+/// Transformation class that can [encode] an instance of [ImageFormat] to String,
+/// and [decode] dynamic data back to [ImageFormat].
+class ImageFormatTypeTransformer {
+  factory ImageFormatTypeTransformer() => _instance ??= const ImageFormatTypeTransformer._();
+
+  const ImageFormatTypeTransformer._();
+
+  String encode(ImageFormat data) => data.value;
+
+  /// Decodes a [dynamic value][data] to a ImageFormat.
+  ///
+  /// If [allowNull] is true and the [dynamic value][data] cannot be decoded successfully,
+  /// then null is returned. However, if [allowNull] is false and the [dynamic value][data]
+  /// cannot be decoded successfully, then an [UnimplementedError] is thrown.
+  ///
+  /// The [allowNull] is very handy when an API changes and a new enum value is added or removed,
+  /// and users are still using an old app with the old code.
+  ImageFormat? decode(dynamic data, {bool allowNull = true}) {
+    if (data != null) {
+      switch (data) {
+        case r'jpeg': return ImageFormat.jpeg;
+        case r'webp': return ImageFormat.webp;
+        default:
+          if (!allowNull) {
+            throw ArgumentError('Unknown enum value to decode: $data');
+          }
+      }
+    }
+    return null;
+  }
+
+  /// Singleton [ImageFormatTypeTransformer] instance.
+  static ImageFormatTypeTransformer? _instance;
+}
+
@@ -15,36 +15,30 @@ class MemoryLaneResponseDto {
  MemoryLaneResponseDto({
    this.assets = const [],
    required this.title,
-    required this.yearsAgo,
  });

  List<AssetResponseDto> assets;

  String title;

-  int yearsAgo;
-
  @override
  bool operator ==(Object other) => identical(this, other) || other is MemoryLaneResponseDto &&
    _deepEquality.equals(other.assets, assets) &&
-    other.title == title &&
-    other.yearsAgo == yearsAgo;
+    other.title == title;

  @override
  int get hashCode =>
    // ignore: unnecessary_parenthesis
    (assets.hashCode) +
-    (title.hashCode) +
-    (yearsAgo.hashCode);
+    (title.hashCode);

  @override
-  String toString() => 'MemoryLaneResponseDto[assets=$assets, title=$title, yearsAgo=$yearsAgo]';
+  String toString() => 'MemoryLaneResponseDto[assets=$assets, title=$title]';

  Map<String, dynamic> toJson() {
    final json = <String, dynamic>{};
      json[r'assets'] = this.assets;
      json[r'title'] = this.title;
-      json[r'yearsAgo'] = this.yearsAgo;
    return json;
  }

@@ -58,7 +52,6 @@ class MemoryLaneResponseDto {
      return MemoryLaneResponseDto(
        assets: AssetResponseDto.listFromJson(json[r'assets']),
        title: mapValueOfType<String>(json, r'title')!,
-        yearsAgo: mapValueOfType<int>(json, r'yearsAgo')!,
      );
    }
    return null;
@@ -108,7 +101,6 @@ class MemoryLaneResponseDto {
  static const requiredKeys = <String>{
    'assets',
    'title',
-    'yearsAgo',
  };
 }

@@ -40,17 +40,17 @@ class MetadataSearchDto {
    this.originalPath,
    this.page,
    this.personIds = const [],
-    this.resizePath,
+    this.previewPath,
    this.size,
    this.state,
    this.takenAfter,
    this.takenBefore,
+    this.thumbnailPath,
    this.trashedAfter,
    this.trashedBefore,
    this.type,
    this.updatedAfter,
    this.updatedBefore,
-    this.webpPath,
    this.withArchived = false,
    this.withDeleted,
    this.withExif,
@@ -274,7 +274,7 @@ class MetadataSearchDto {
  /// source code must fall back to having a nullable type.
  /// Consider adding a "default:" property in the specification file to hide this note.
  ///
-  String? resizePath;
+  String? previewPath;

  ///
  /// Please note: This property should have been non-nullable! Since the specification file
@@ -308,6 +308,14 @@ class MetadataSearchDto {
  ///
  DateTime? takenBefore;

+  ///
+  /// Please note: This property should have been non-nullable! Since the specification file
+  /// does not include a default value (using the "default:" property), however, the generated
+  /// source code must fall back to having a nullable type.
+  /// Consider adding a "default:" property in the specification file to hide this note.
+  ///
+  String? thumbnailPath;
+
  ///
  /// Please note: This property should have been non-nullable! Since the specification file
  /// does not include a default value (using the "default:" property), however, the generated
@@ -348,14 +356,6 @@ class MetadataSearchDto {
  ///
  DateTime? updatedBefore;

-  ///
-  /// Please note: This property should have been non-nullable! Since the specification file
-  /// does not include a default value (using the "default:" property), however, the generated
-  /// source code must fall back to having a nullable type.
-  /// Consider adding a "default:" property in the specification file to hide this note.
-  ///
-  String? webpPath;
-
  bool withArchived;

  ///
@@ -419,17 +419,17 @@ class MetadataSearchDto {
    other.originalPath == originalPath &&
    other.page == page &&
    _deepEquality.equals(other.personIds, personIds) &&
-    other.resizePath == resizePath &&
+    other.previewPath == previewPath &&
    other.size == size &&
    other.state == state &&
    other.takenAfter == takenAfter &&
    other.takenBefore == takenBefore &&
+    other.thumbnailPath == thumbnailPath &&
    other.trashedAfter == trashedAfter &&
    other.trashedBefore == trashedBefore &&
    other.type == type &&
    other.updatedAfter == updatedAfter &&
    other.updatedBefore == updatedBefore &&
-    other.webpPath == webpPath &&
    other.withArchived == withArchived &&
    other.withDeleted == withDeleted &&
    other.withExif == withExif &&
@@ -466,17 +466,17 @@ class MetadataSearchDto {
    (originalPath == null ? 0 : originalPath!.hashCode) +
    (page == null ? 0 : page!.hashCode) +
    (personIds.hashCode) +
-    (resizePath == null ? 0 : resizePath!.hashCode) +
+    (previewPath == null ? 0 : previewPath!.hashCode) +
    (size == null ? 0 : size!.hashCode) +
    (state == null ? 0 : state!.hashCode) +
    (takenAfter == null ? 0 : takenAfter!.hashCode) +
    (takenBefore == null ? 0 : takenBefore!.hashCode) +
+    (thumbnailPath == null ? 0 : thumbnailPath!.hashCode) +
    (trashedAfter == null ? 0 : trashedAfter!.hashCode) +
    (trashedBefore == null ? 0 : trashedBefore!.hashCode) +
    (type == null ? 0 : type!.hashCode) +
    (updatedAfter == null ? 0 : updatedAfter!.hashCode) +
    (updatedBefore == null ? 0 : updatedBefore!.hashCode) +
-    (webpPath == null ? 0 : webpPath!.hashCode) +
    (withArchived.hashCode) +
    (withDeleted == null ? 0 : withDeleted!.hashCode) +
    (withExif == null ? 0 : withExif!.hashCode) +
@@ -484,7 +484,7 @@ class MetadataSearchDto {
    (withStacked == null ? 0 : withStacked!.hashCode);

  @override
-  String toString() => 'MetadataSearchDto[checksum=$checksum, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, deviceAssetId=$deviceAssetId, deviceId=$deviceId, encodedVideoPath=$encodedVideoPath, id=$id, isArchived=$isArchived, isEncoded=$isEncoded, isExternal=$isExternal, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, isReadOnly=$isReadOnly, isVisible=$isVisible, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, order=$order, originalFileName=$originalFileName, originalPath=$originalPath, page=$page, personIds=$personIds, resizePath=$resizePath, size=$size, state=$state, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, webpPath=$webpPath, withArchived=$withArchived, withDeleted=$withDeleted, withExif=$withExif, withPeople=$withPeople, withStacked=$withStacked]';
+  String toString() => 'MetadataSearchDto[checksum=$checksum, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, deviceAssetId=$deviceAssetId, deviceId=$deviceId, encodedVideoPath=$encodedVideoPath, id=$id, isArchived=$isArchived, isEncoded=$isEncoded, isExternal=$isExternal, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, isReadOnly=$isReadOnly, isVisible=$isVisible, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, order=$order, originalFileName=$originalFileName, originalPath=$originalPath, page=$page, personIds=$personIds, previewPath=$previewPath, size=$size, state=$state, takenAfter=$takenAfter, takenBefore=$takenBefore, thumbnailPath=$thumbnailPath, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, withArchived=$withArchived, withDeleted=$withDeleted, withExif=$withExif, withPeople=$withPeople, withStacked=$withStacked]';

  Map<String, dynamic> toJson() {
    final json = <String, dynamic>{};
@@ -619,10 +619,10 @@ class MetadataSearchDto {
    //  json[r'page'] = null;
    }
      json[r'personIds'] = this.personIds;
-    if (this.resizePath != null) {
-      json[r'resizePath'] = this.resizePath;
+    if (this.previewPath != null) {
+      json[r'previewPath'] = this.previewPath;
    } else {
-    //  json[r'resizePath'] = null;
+    //  json[r'previewPath'] = null;
    }
    if (this.size != null) {
      json[r'size'] = this.size;
@@ -644,6 +644,11 @@ class MetadataSearchDto {
    } else {
    //  json[r'takenBefore'] = null;
    }
+    if (this.thumbnailPath != null) {
+      json[r'thumbnailPath'] = this.thumbnailPath;
+    } else {
+    //  json[r'thumbnailPath'] = null;
+    }
    if (this.trashedAfter != null) {
      json[r'trashedAfter'] = this.trashedAfter!.toUtc().toIso8601String();
    } else {
@@ -668,11 +673,6 @@ class MetadataSearchDto {
      json[r'updatedBefore'] = this.updatedBefore!.toUtc().toIso8601String();
    } else {
    //  json[r'updatedBefore'] = null;
-    }
-    if (this.webpPath != null) {
-      json[r'webpPath'] = this.webpPath;
-    } else {
-    //  json[r'webpPath'] = null;
    }
      json[r'withArchived'] = this.withArchived;
    if (this.withDeleted != null) {
@@ -735,17 +735,17 @@ class MetadataSearchDto {
        personIds: json[r'personIds'] is Iterable
            ? (json[r'personIds'] as Iterable).cast<String>().toList(growable: false)
            : const [],
-        resizePath: mapValueOfType<String>(json, r'resizePath'),
+        previewPath: mapValueOfType<String>(json, r'previewPath'),
        size: num.parse('${json[r'size']}'),
        state: mapValueOfType<String>(json, r'state'),
        takenAfter: mapDateTime(json, r'takenAfter', r''),
        takenBefore: mapDateTime(json, r'takenBefore', r''),
+        thumbnailPath: mapValueOfType<String>(json, r'thumbnailPath'),
        trashedAfter: mapDateTime(json, r'trashedAfter', r''),
        trashedBefore: mapDateTime(json, r'trashedBefore', r''),
        type: AssetTypeEnum.fromJson(json[r'type']),
        updatedAfter: mapDateTime(json, r'updatedAfter', r''),
        updatedBefore: mapDateTime(json, r'updatedBefore', r''),
-        webpPath: mapValueOfType<String>(json, r'webpPath'),
        withArchived: mapValueOfType<bool>(json, r'withArchived') ?? false,
        withDeleted: mapValueOfType<bool>(json, r'withDeleted'),
        withExif: mapValueOfType<bool>(json, r'withExif'),
@@ -24,8 +24,8 @@ class PathType {
  String toJson() => value;

  static const original = PathType._(r'original');
-  static const jpegThumbnail = PathType._(r'jpeg_thumbnail');
-  static const webpThumbnail = PathType._(r'webp_thumbnail');
+  static const preview = PathType._(r'preview');
+  static const thumbnail = PathType._(r'thumbnail');
  static const encodedVideo = PathType._(r'encoded_video');
  static const sidecar = PathType._(r'sidecar');
  static const face = PathType._(r'face');
@@ -34,8 +34,8 @@ class PathType {
  /// List of all possible values in this [enum][PathType].
  static const values = <PathType>[
    original,
-    jpegThumbnail,
-    webpThumbnail,
+    preview,
+    thumbnail,
    encodedVideo,
    sidecar,
    face,
@@ -79,8 +79,8 @@ class PathTypeTypeTransformer {
    if (data != null) {
      switch (data) {
        case r'original': return PathType.original;
-        case r'jpeg_thumbnail': return PathType.jpegThumbnail;
-        case r'webp_thumbnail': return PathType.webpThumbnail;
+        case r'preview': return PathType.preview;
+        case r'thumbnail': return PathType.thumbnail;
        case r'encoded_video': return PathType.encodedVideo;
        case r'sidecar': return PathType.sidecar;
        case r'face': return PathType.face;
@@ -14,6 +14,7 @@ class SystemConfigDto {
  /// Returns a new [SystemConfigDto] instance.
  SystemConfigDto({
    required this.ffmpeg,
+    required this.image,
    required this.job,
    required this.library_,
    required this.logging,
@@ -26,13 +27,14 @@ class SystemConfigDto {
    required this.server,
    required this.storageTemplate,
    required this.theme,
-    required this.thumbnail,
    required this.trash,
    required this.user,
  });

  SystemConfigFFmpegDto ffmpeg;

+  SystemConfigThumbnailDto image;
+
  SystemConfigJobDto job;

  SystemConfigLibraryDto library_;
@@ -57,8 +59,6 @@ class SystemConfigDto {

  SystemConfigThemeDto theme;

-  SystemConfigThumbnailDto thumbnail;
-
  SystemConfigTrashDto trash;

  SystemConfigUserDto user;
@@ -66,6 +66,7 @@ class SystemConfigDto {
  @override
  bool operator ==(Object other) => identical(this, other) || other is SystemConfigDto &&
    other.ffmpeg == ffmpeg &&
+    other.image == image &&
    other.job == job &&
    other.library_ == library_ &&
    other.logging == logging &&
@@ -78,7 +79,6 @@ class SystemConfigDto {
    other.server == server &&
    other.storageTemplate == storageTemplate &&
    other.theme == theme &&
-    other.thumbnail == thumbnail &&
    other.trash == trash &&
    other.user == user;

@@ -86,6 +86,7 @@ class SystemConfigDto {
  int get hashCode =>
    // ignore: unnecessary_parenthesis
    (ffmpeg.hashCode) +
+    (image.hashCode) +
    (job.hashCode) +
    (library_.hashCode) +
    (logging.hashCode) +
@@ -98,16 +99,16 @@ class SystemConfigDto {
    (server.hashCode) +
    (storageTemplate.hashCode) +
    (theme.hashCode) +
-    (thumbnail.hashCode) +
    (trash.hashCode) +
    (user.hashCode);

  @override
-  String toString() => 'SystemConfigDto[ffmpeg=$ffmpeg, job=$job, library_=$library_, logging=$logging, machineLearning=$machineLearning, map=$map, newVersionCheck=$newVersionCheck, oauth=$oauth, passwordLogin=$passwordLogin, reverseGeocoding=$reverseGeocoding, server=$server, storageTemplate=$storageTemplate, theme=$theme, thumbnail=$thumbnail, trash=$trash, user=$user]';
+  String toString() => 'SystemConfigDto[ffmpeg=$ffmpeg, image=$image, job=$job, library_=$library_, logging=$logging, machineLearning=$machineLearning, map=$map, newVersionCheck=$newVersionCheck, oauth=$oauth, passwordLogin=$passwordLogin, reverseGeocoding=$reverseGeocoding, server=$server, storageTemplate=$storageTemplate, theme=$theme, trash=$trash, user=$user]';

  Map<String, dynamic> toJson() {
    final json = <String, dynamic>{};
      json[r'ffmpeg'] = this.ffmpeg;
+      json[r'image'] = this.image;
      json[r'job'] = this.job;
      json[r'library'] = this.library_;
      json[r'logging'] = this.logging;
@@ -120,7 +121,6 @@ class SystemConfigDto {
      json[r'server'] = this.server;
      json[r'storageTemplate'] = this.storageTemplate;
      json[r'theme'] = this.theme;
-      json[r'thumbnail'] = this.thumbnail;
      json[r'trash'] = this.trash;
      json[r'user'] = this.user;
    return json;
@@ -135,6 +135,7 @@ class SystemConfigDto {

      return SystemConfigDto(
        ffmpeg: SystemConfigFFmpegDto.fromJson(json[r'ffmpeg'])!,
+        image: SystemConfigThumbnailDto.fromJson(json[r'image'])!,
        job: SystemConfigJobDto.fromJson(json[r'job'])!,
        library_: SystemConfigLibraryDto.fromJson(json[r'library'])!,
        logging: SystemConfigLoggingDto.fromJson(json[r'logging'])!,
@@ -147,7 +148,6 @@ class SystemConfigDto {
        server: SystemConfigServerDto.fromJson(json[r'server'])!,
        storageTemplate: SystemConfigStorageTemplateDto.fromJson(json[r'storageTemplate'])!,
        theme: SystemConfigThemeDto.fromJson(json[r'theme'])!,
-        thumbnail: SystemConfigThumbnailDto.fromJson(json[r'thumbnail'])!,
        trash: SystemConfigTrashDto.fromJson(json[r'trash'])!,
        user: SystemConfigUserDto.fromJson(json[r'user'])!,
      );
@@ -198,6 +198,7 @@ class SystemConfigDto {
  /// The list of required keys that must be present in a JSON.
  static const requiredKeys = <String>{
    'ffmpeg',
+    'image',
    'job',
    'library',
    'logging',
@@ -210,7 +211,6 @@ class SystemConfigDto {
    'server',
    'storageTemplate',
    'theme',
-    'thumbnail',
    'trash',
    'user',
  };
@@ -14,43 +14,55 @@ class SystemConfigThumbnailDto {
  /// Returns a new [SystemConfigThumbnailDto] instance.
  SystemConfigThumbnailDto({
    required this.colorspace,
-    required this.jpegSize,
+    required this.previewFormat,
+    required this.previewSize,
    required this.quality,
-    required this.webpSize,
+    required this.thumbnailFormat,
+    required this.thumbnailSize,
  });

  Colorspace colorspace;

-  int jpegSize;
+  ImageFormat previewFormat;
+
+  int previewSize;

  int quality;

-  int webpSize;
+  ImageFormat thumbnailFormat;
+
+  int thumbnailSize;

  @override
  bool operator ==(Object other) => identical(this, other) || other is SystemConfigThumbnailDto &&
    other.colorspace == colorspace &&
-    other.jpegSize == jpegSize &&
+    other.previewFormat == previewFormat &&
+    other.previewSize == previewSize &&
    other.quality == quality &&
-    other.webpSize == webpSize;
+    other.thumbnailFormat == thumbnailFormat &&
+    other.thumbnailSize == thumbnailSize;

  @override
  int get hashCode =>
    // ignore: unnecessary_parenthesis
    (colorspace.hashCode) +
-    (jpegSize.hashCode) +
+    (previewFormat.hashCode) +
+    (previewSize.hashCode) +
    (quality.hashCode) +
-    (webpSize.hashCode);
+    (thumbnailFormat.hashCode) +
+    (thumbnailSize.hashCode);

  @override
-  String toString() => 'SystemConfigThumbnailDto[colorspace=$colorspace, jpegSize=$jpegSize, quality=$quality, webpSize=$webpSize]';
+  String toString() => 'SystemConfigThumbnailDto[colorspace=$colorspace, previewFormat=$previewFormat, previewSize=$previewSize, quality=$quality, thumbnailFormat=$thumbnailFormat, thumbnailSize=$thumbnailSize]';

  Map<String, dynamic> toJson() {
    final json = <String, dynamic>{};
      json[r'colorspace'] = this.colorspace;
-      json[r'jpegSize'] = this.jpegSize;
+      json[r'previewFormat'] = this.previewFormat;
+      json[r'previewSize'] = this.previewSize;
      json[r'quality'] = this.quality;
-      json[r'webpSize'] = this.webpSize;
+      json[r'thumbnailFormat'] = this.thumbnailFormat;
+      json[r'thumbnailSize'] = this.thumbnailSize;
    return json;
  }

@@ -63,9 +75,11 @@ class SystemConfigThumbnailDto {

      return SystemConfigThumbnailDto(
        colorspace: Colorspace.fromJson(json[r'colorspace'])!,
-        jpegSize: mapValueOfType<int>(json, r'jpegSize')!,
+        previewFormat: ImageFormat.fromJson(json[r'previewFormat'])!,
+        previewSize: mapValueOfType<int>(json, r'previewSize')!,
        quality: mapValueOfType<int>(json, r'quality')!,
-        webpSize: mapValueOfType<int>(json, r'webpSize')!,
+        thumbnailFormat: ImageFormat.fromJson(json[r'thumbnailFormat'])!,
+        thumbnailSize: mapValueOfType<int>(json, r'thumbnailSize')!,
      );
    }
    return null;
@@ -114,9 +128,11 @@ class SystemConfigThumbnailDto {
  /// The list of required keys that must be present in a JSON.
  static const requiredKeys = <String>{
    'colorspace',
-    'jpegSize',
+    'previewFormat',
+    'previewSize',
    'quality',
-    'webpSize',
+    'thumbnailFormat',
+    'thumbnailSize',
  };
 }

@@ -23,13 +23,13 @@ class ThumbnailFormat {

  String toJson() => value;

-  static const JPEG = ThumbnailFormat._(r'JPEG');
-  static const WEBP = ThumbnailFormat._(r'WEBP');
+  static const jpeg = ThumbnailFormat._(r'jpeg');
+  static const webp = ThumbnailFormat._(r'webp');

  /// List of all possible values in this [enum][ThumbnailFormat].
  static const values = <ThumbnailFormat>[
-    JPEG,
-    WEBP,
+    jpeg,
+    webp,
  ];

  static ThumbnailFormat? fromJson(dynamic value) => ThumbnailFormatTypeTransformer().decode(value);
@@ -68,8 +68,8 @@ class ThumbnailFormatTypeTransformer {
  ThumbnailFormat? decode(dynamic data, {bool allowNull = true}) {
    if (data != null) {
      switch (data) {
-        case r'JPEG': return ThumbnailFormat.JPEG;
-        case r'WEBP': return ThumbnailFormat.WEBP;
+        case r'jpeg': return ThumbnailFormat.jpeg;
+        case r'webp': return ThumbnailFormat.webp;
        default:
          if (!allowNull) {
            throw ArgumentError('Unknown enum value to decode: $data');
@@ -95,12 +95,22 @@ void main() {
      // TODO
    });

+    //Future<List<AssetResponseDto>> getTimeBucket(TimeBucketSize size, String timeBucket, { String albumId, bool isArchived, bool isFavorite, bool isTrashed, String key, AssetOrder order, String personId, String userId, bool withPartners, bool withStacked }) async
+    test('test getTimeBucket', () async {
+      // TODO
+    });
+
+    //Future<List<TimeBucketResponseDto>> getTimeBuckets(TimeBucketSize size, { String albumId, bool isArchived, bool isFavorite, bool isTrashed, String key, AssetOrder order, String personId, String userId, bool withPartners, bool withStacked }) async
+    test('test getTimeBuckets', () async {
+      // TODO
+    });
+
    //Future runAssetJobs(AssetJobsDto assetJobsDto) async
    test('test runAssetJobs', () async {
      // TODO
    });

-    //Future<List<AssetResponseDto>> searchAssets({ String checksum, String city, String country, DateTime createdAfter, DateTime createdBefore, String deviceAssetId, String deviceId, String encodedVideoPath, String id, bool isArchived, bool isEncoded, bool isExternal, bool isFavorite, bool isMotion, bool isNotInAlbum, bool isOffline, bool isReadOnly, bool isVisible, String lensModel, String libraryId, String make, String model, AssetOrder order, String originalFileName, String originalPath, num page, List<String> personIds, String resizePath, num size, String state, DateTime takenAfter, DateTime takenBefore, DateTime trashedAfter, DateTime trashedBefore, AssetTypeEnum type, DateTime updatedAfter, DateTime updatedBefore, String webpPath, bool withArchived, bool withDeleted, bool withExif, bool withPeople, bool withStacked }) async
+    //Future<List<AssetResponseDto>> searchAssets({ String checksum, String city, String country, DateTime createdAfter, DateTime createdBefore, String deviceAssetId, String deviceId, String encodedVideoPath, String id, bool isArchived, bool isEncoded, bool isExternal, bool isFavorite, bool isMotion, bool isNotInAlbum, bool isOffline, bool isReadOnly, bool isVisible, String lensModel, String libraryId, String make, String model, AssetOrder order, String originalFileName, String originalPath, num page, List<String> personIds, String previewPath, num size, String state, DateTime takenAfter, DateTime takenBefore, String thumbnailPath, DateTime trashedAfter, DateTime trashedBefore, AssetTypeEnum type, DateTime updatedAfter, DateTime updatedBefore, bool withArchived, bool withDeleted, bool withExif, bool withPeople, bool withStacked }) async
    test('test searchAssets', () async {
      // TODO
    });
@@ -36,8 +36,8 @@ void main() {
      // TODO
    });

-    // String resizePath
-    test('to test the property `resizePath`', () async {
+    // String previewPath
+    test('to test the property `previewPath`', () async {
      // TODO
    });

@@ -36,8 +36,8 @@ void main() {
      // TODO
    });

-    // String resizePath
-    test('to test the property `resizePath`', () async {
+    // String previewPath
+    test('to test the property `previewPath`', () async {
      // TODO
    });

@@ -0,0 +1,21 @@
+//
+// AUTO-GENERATED FILE, DO NOT MODIFY!
+//
+// @dart=2.12
+
+// ignore_for_file: unused_element, unused_import
+// ignore_for_file: always_put_required_named_parameters_first
+// ignore_for_file: constant_identifier_names
+// ignore_for_file: lines_longer_than_80_chars
+
+import 'package:openapi/api.dart';
+import 'package:test/test.dart';
+
+// tests for ImageFormat
+void main() {
+
+  group('test ImageFormat', () {
+
+  });
+
+}
@@ -26,11 +26,6 @@ void main() {
      // TODO
    });

-    // int yearsAgo
-    test('to test the property `yearsAgo`', () async {
-      // TODO
-    });
-

  });

@@ -151,8 +151,8 @@ void main() {
      // TODO
    });

-    // String resizePath
-    test('to test the property `resizePath`', () async {
+    // String previewPath
+    test('to test the property `previewPath`', () async {
      // TODO
    });

@@ -176,6 +176,11 @@ void main() {
      // TODO
    });

+    // String thumbnailPath
+    test('to test the property `thumbnailPath`', () async {
+      // TODO
+    });
+
    // DateTime trashedAfter
    test('to test the property `trashedAfter`', () async {
      // TODO
@@ -201,11 +206,6 @@ void main() {
      // TODO
    });

-    // String webpPath
-    test('to test the property `webpPath`', () async {
-      // TODO
-    });
-
    // bool withArchived (default value: false)
    test('to test the property `withArchived`', () async {
      // TODO
@@ -27,7 +27,7 @@ void main() {
      // TODO
    });

-    //Future<Object> getMapStyle(MapTheme theme, { String key }) async
+    //Future<Object> getMapStyle(MapTheme theme) async
    test('test getMapStyle', () async {
      // TODO
    });
@@ -21,6 +21,11 @@ void main() {
      // TODO
    });

+    // SystemConfigThumbnailDto image
+    test('to test the property `image`', () async {
+      // TODO
+    });
+
    // SystemConfigJobDto job
    test('to test the property `job`', () async {
      // TODO
@@ -81,11 +86,6 @@ void main() {
      // TODO
    });

-    // SystemConfigThumbnailDto thumbnail
-    test('to test the property `thumbnail`', () async {
-      // TODO
-    });
-
    // SystemConfigTrashDto trash
    test('to test the property `trash`', () async {
      // TODO
@@ -21,8 +21,13 @@ void main() {
      // TODO
    });

-    // int jpegSize
-    test('to test the property `jpegSize`', () async {
+    // ImageFormat previewFormat
+    test('to test the property `previewFormat`', () async {
+      // TODO
+    });
+
+    // int previewSize
+    test('to test the property `previewSize`', () async {
      // TODO
    });

@@ -31,8 +36,13 @@ void main() {
      // TODO
    });

-    // int webpSize
-    test('to test the property `webpSize`', () async {
+    // ImageFormat thumbnailFormat
+    test('to test the property `thumbnailFormat`', () async {
+      // TODO
+    });
+
+    // int thumbnailSize
+    test('to test the property `thumbnailSize`', () async {
      // TODO
    });

@@ -1,31 +0,0 @@
-//
-// AUTO-GENERATED FILE, DO NOT MODIFY!
-//
-// @dart=2.12
-
-// ignore_for_file: unused_element, unused_import
-// ignore_for_file: always_put_required_named_parameters_first
-// ignore_for_file: constant_identifier_names
-// ignore_for_file: lines_longer_than_80_chars
-
-import 'package:openapi/api.dart';
-import 'package:test/test.dart';
-
-
-/// tests for TimelineApi
-void main() {
-  // final instance = TimelineApi();
-
-  group('tests for TimelineApi', () {
-    //Future<List<AssetResponseDto>> getTimeBucket(TimeBucketSize size, String timeBucket, { String albumId, bool isArchived, bool isFavorite, bool isTrashed, String key, AssetOrder order, String personId, String userId, bool withPartners, bool withStacked }) async
-    test('test getTimeBucket', () async {
-      // TODO
-    });
-
-    //Future<List<TimeBucketResponseDto>> getTimeBuckets(TimeBucketSize size, { String albumId, bool isArchived, bool isFavorite, bool isTrashed, String key, AssetOrder order, String personId, String userId, bool withPartners, bool withStacked }) async
-    test('test getTimeBuckets', () async {
-      // TODO
-    });
-
-  });
-}
@@ -2,7 +2,7 @@ name: immich_mobile
 description: Immich - selfhosted backup media file on mobile phone

 publish_to: 'none'
-version: 1.100.0+130
+version: 1.99.0+129

 environment:
  sdk: '>=3.0.0 <4.0.0'
@@ -1720,6 +1720,286 @@
        ]
      }
    },
+    "/asset/time-bucket": {
+      "get": {
+        "operationId": "getTimeBucket",
+        "parameters": [
+          {
+            "name": "albumId",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "format": "uuid",
+              "type": "string"
+            }
+          },
+          {
+            "name": "isArchived",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "isFavorite",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "isTrashed",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "key",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "order",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "$ref": "#/components/schemas/AssetOrder"
+            }
+          },
+          {
+            "name": "personId",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "format": "uuid",
+              "type": "string"
+            }
+          },
+          {
+            "name": "size",
+            "required": true,
+            "in": "query",
+            "schema": {
+              "$ref": "#/components/schemas/TimeBucketSize"
+            }
+          },
+          {
+            "name": "timeBucket",
+            "required": true,
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "userId",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "format": "uuid",
+              "type": "string"
+            }
+          },
+          {
+            "name": "withPartners",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "withStacked",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": {
+                    "$ref": "#/components/schemas/AssetResponseDto"
+                  },
+                  "type": "array"
+                }
+              }
+            },
+            "description": ""
+          }
+        },
+        "security": [
+          {
+            "bearer": []
+          },
+          {
+            "cookie": []
+          },
+          {
+            "api_key": []
+          },
+          {
+            "bearer": []
+          },
+          {
+            "cookie": []
+          },
+          {
+            "api_key": []
+          }
+        ],
+        "tags": [
+          "Asset"
+        ]
+      }
+    },
+    "/asset/time-buckets": {
+      "get": {
+        "operationId": "getTimeBuckets",
+        "parameters": [
+          {
+            "name": "albumId",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "format": "uuid",
+              "type": "string"
+            }
+          },
+          {
+            "name": "isArchived",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "isFavorite",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "isTrashed",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "key",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "order",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "$ref": "#/components/schemas/AssetOrder"
+            }
+          },
+          {
+            "name": "personId",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "format": "uuid",
+              "type": "string"
+            }
+          },
+          {
+            "name": "size",
+            "required": true,
+            "in": "query",
+            "schema": {
+              "$ref": "#/components/schemas/TimeBucketSize"
+            }
+          },
+          {
+            "name": "userId",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "format": "uuid",
+              "type": "string"
+            }
+          },
+          {
+            "name": "withPartners",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "withStacked",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "content": {
+              "application/json": {
+                "schema": {
+                  "items": {
+                    "$ref": "#/components/schemas/TimeBucketResponseDto"
+                  },
+                  "type": "array"
+                }
+              }
+            },
+            "description": ""
+          }
+        },
+        "security": [
+          {
+            "bearer": []
+          },
+          {
+            "cookie": []
+          },
+          {
+            "api_key": []
+          },
+          {
+            "bearer": []
+          },
+          {
+            "cookie": []
+          },
+          {
+            "api_key": []
+          }
+        ],
+        "tags": [
+          "Asset"
+        ]
+      }
+    },
    "/asset/upload": {
      "post": {
        "operationId": "uploadFile",
@@ -2102,7 +2382,7 @@
            }
          },
          {
-            "name": "resizePath",
+            "name": "previewPath",
            "required": false,
            "in": "query",
            "schema": {
@@ -2143,6 +2423,14 @@
              "type": "string"
            }
          },
+          {
+            "name": "thumbnailPath",
+            "required": false,
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
          {
            "name": "trashedAfter",
            "required": false,
@@ -2187,14 +2475,6 @@
              "type": "string"
            }
          },
-          {
-            "name": "webpPath",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "string"
-            }
-          },
          {
            "name": "withArchived",
            "required": false,
@@ -5348,14 +5628,6 @@
      "get": {
        "operationId": "getMapStyle",
        "parameters": [
-          {
-            "name": "key",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "string"
-            }
-          },
          {
            "name": "theme",
            "required": true,
@@ -5776,286 +6048,6 @@
        ]
      }
    },
-    "/timeline/bucket": {
-      "get": {
-        "operationId": "getTimeBucket",
-        "parameters": [
-          {
-            "name": "albumId",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "format": "uuid",
-              "type": "string"
-            }
-          },
-          {
-            "name": "isArchived",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          },
-          {
-            "name": "isFavorite",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          },
-          {
-            "name": "isTrashed",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          },
-          {
-            "name": "key",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "string"
-            }
-          },
-          {
-            "name": "order",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "$ref": "#/components/schemas/AssetOrder"
-            }
-          },
-          {
-            "name": "personId",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "format": "uuid",
-              "type": "string"
-            }
-          },
-          {
-            "name": "size",
-            "required": true,
-            "in": "query",
-            "schema": {
-              "$ref": "#/components/schemas/TimeBucketSize"
-            }
-          },
-          {
-            "name": "timeBucket",
-            "required": true,
-            "in": "query",
-            "schema": {
-              "type": "string"
-            }
-          },
-          {
-            "name": "userId",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "format": "uuid",
-              "type": "string"
-            }
-          },
-          {
-            "name": "withPartners",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          },
-          {
-            "name": "withStacked",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          }
-        ],
-        "responses": {
-          "200": {
-            "content": {
-              "application/json": {
-                "schema": {
-                  "items": {
-                    "$ref": "#/components/schemas/AssetResponseDto"
-                  },
-                  "type": "array"
-                }
-              }
-            },
-            "description": ""
-          }
-        },
-        "security": [
-          {
-            "bearer": []
-          },
-          {
-            "cookie": []
-          },
-          {
-            "api_key": []
-          },
-          {
-            "bearer": []
-          },
-          {
-            "cookie": []
-          },
-          {
-            "api_key": []
-          }
-        ],
-        "tags": [
-          "Timeline"
-        ]
-      }
-    },
-    "/timeline/buckets": {
-      "get": {
-        "operationId": "getTimeBuckets",
-        "parameters": [
-          {
-            "name": "albumId",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "format": "uuid",
-              "type": "string"
-            }
-          },
-          {
-            "name": "isArchived",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          },
-          {
-            "name": "isFavorite",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          },
-          {
-            "name": "isTrashed",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          },
-          {
-            "name": "key",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "string"
-            }
-          },
-          {
-            "name": "order",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "$ref": "#/components/schemas/AssetOrder"
-            }
-          },
-          {
-            "name": "personId",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "format": "uuid",
-              "type": "string"
-            }
-          },
-          {
-            "name": "size",
-            "required": true,
-            "in": "query",
-            "schema": {
-              "$ref": "#/components/schemas/TimeBucketSize"
-            }
-          },
-          {
-            "name": "userId",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "format": "uuid",
-              "type": "string"
-            }
-          },
-          {
-            "name": "withPartners",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          },
-          {
-            "name": "withStacked",
-            "required": false,
-            "in": "query",
-            "schema": {
-              "type": "boolean"
-            }
-          }
-        ],
-        "responses": {
-          "200": {
-            "content": {
-              "application/json": {
-                "schema": {
-                  "items": {
-                    "$ref": "#/components/schemas/TimeBucketResponseDto"
-                  },
-                  "type": "array"
-                }
-              }
-            },
-            "description": ""
-          }
-        },
-        "security": [
-          {
-            "bearer": []
-          },
-          {
-            "cookie": []
-          },
-          {
-            "api_key": []
-          },
-          {
-            "bearer": []
-          },
-          {
-            "cookie": []
-          },
-          {
-            "api_key": []
-          }
-        ],
-        "tags": [
-          "Timeline"
-        ]
-      }
-    },
    "/trash/empty": {
      "post": {
        "operationId": "emptyTrash",
@@ -6546,7 +6538,7 @@
  "info": {
    "title": "Immich",
    "description": "Immich API",
-    "version": "1.100.0",
+    "version": "1.99.0",
    "contact": {}
  },
  "tags": [],
@@ -7784,7 +7776,7 @@
          "id": {
            "type": "string"
          },
-          "resizePath": {
+          "previewPath": {
            "type": "string"
          }
        },
@@ -7793,7 +7785,7 @@
          "deviceAssetId",
          "deviceId",
          "id",
-          "resizePath"
+          "previewPath"
        ],
        "type": "object"
      },
@@ -7811,7 +7803,7 @@
          "object": {
            "type": "string"
          },
-          "resizePath": {
+          "previewPath": {
            "type": "string"
          }
        },
@@ -7820,7 +7812,7 @@
          "deviceId",
          "id",
          "object",
-          "resizePath"
+          "previewPath"
        ],
        "type": "object"
      },
@@ -8114,6 +8106,13 @@
        ],
        "type": "object"
      },
+      "ImageFormat": {
+        "enum": [
+          "jpeg",
+          "webp"
+        ],
+        "type": "string"
+      },
      "JobCommand": {
        "enum": [
          "start",
@@ -8435,17 +8434,12 @@
            "type": "array"
          },
          "title": {
-            "deprecated": true,
            "type": "string"
-          },
-          "yearsAgo": {
-            "type": "integer"
          }
        },
        "required": [
          "assets",
-          "title",
-          "yearsAgo"
+          "title"
        ],
        "type": "object"
      },
@@ -8555,7 +8549,7 @@
            },
            "type": "array"
          },
-          "resizePath": {
+          "previewPath": {
            "type": "string"
          },
          "size": {
@@ -8572,6 +8566,9 @@
            "format": "date-time",
            "type": "string"
          },
+          "thumbnailPath": {
+            "type": "string"
+          },
          "trashedAfter": {
            "format": "date-time",
            "type": "string"
@@ -8591,9 +8588,6 @@
            "format": "date-time",
            "type": "string"
          },
-          "webpPath": {
-            "type": "string"
-          },
          "withArchived": {
            "default": false,
            "type": "boolean"
@@ -8746,8 +8740,8 @@
      "PathType": {
        "enum": [
          "original",
-          "jpeg_thumbnail",
-          "webp_thumbnail",
+          "preview",
+          "thumbnail",
          "encoded_video",
          "sidecar",
          "face",
@@ -9743,6 +9737,9 @@
          "ffmpeg": {
            "$ref": "#/components/schemas/SystemConfigFFmpegDto"
          },
+          "image": {
+            "$ref": "#/components/schemas/SystemConfigThumbnailDto"
+          },
          "job": {
            "$ref": "#/components/schemas/SystemConfigJobDto"
          },
@@ -9779,9 +9776,6 @@
          "theme": {
            "$ref": "#/components/schemas/SystemConfigThemeDto"
          },
-          "thumbnail": {
-            "$ref": "#/components/schemas/SystemConfigThumbnailDto"
-          },
          "trash": {
            "$ref": "#/components/schemas/SystemConfigTrashDto"
          },
@@ -9791,6 +9785,7 @@
        },
        "required": [
          "ffmpeg",
+          "image",
          "job",
          "library",
          "logging",
@@ -9803,7 +9798,6 @@
          "server",
          "storageTemplate",
          "theme",
-          "thumbnail",
          "trash",
          "user"
        ],
@@ -10256,21 +10250,29 @@
          "colorspace": {
            "$ref": "#/components/schemas/Colorspace"
          },
-          "jpegSize": {
+          "previewFormat": {
+            "$ref": "#/components/schemas/ImageFormat"
+          },
+          "previewSize": {
            "type": "integer"
          },
          "quality": {
            "type": "integer"
          },
-          "webpSize": {
+          "thumbnailFormat": {
+            "$ref": "#/components/schemas/ImageFormat"
+          },
+          "thumbnailSize": {
            "type": "integer"
          }
        },
        "required": [
          "colorspace",
-          "jpegSize",
+          "previewFormat",
+          "previewSize",
          "quality",
-          "webpSize"
+          "thumbnailFormat",
+          "thumbnailSize"
        ],
        "type": "object"
      },
@@ -10333,8 +10335,8 @@
      },
      "ThumbnailFormat": {
        "enum": [
-          "JPEG",
-          "WEBP"
+          "jpeg",
+          "webp"
        ],
        "type": "string"
      },
@@ -1,12 +1,12 @@
 {
  "name": "@immich/sdk",
-  "version": "1.100.0",
+  "version": "1.99.0",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@immich/sdk",
-      "version": "1.100.0",
+      "version": "1.99.0",
      "license": "GNU Affero General Public License version 3",
      "dependencies": {
        "@oazapfts/runtime": "^1.0.2"
@@ -22,18 +22,18 @@
      "integrity": "sha512-V33FjR6V+AkGRWYQW3XPm5BLn2loGl2ujSeja1TzdjjEn2zjGgl3ve0dcFf/jEwPZEOqQZl6YwIgIB/clXVqWw=="
    },
    "node_modules/@types/node": {
-      "version": "20.11.30",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.30.tgz",
-      "integrity": "sha512-dHM6ZxwlmuZaRmUPfv1p+KrdD1Dci04FbdEm/9wEMouFqxYoFl5aMkt0VMAUtYRQDyYvD41WJLukhq/ha3YuTw==",
+      "version": "20.11.28",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.28.tgz",
+      "integrity": "sha512-M/GPWVS2wLkSkNHVeLkrF2fD5Lx5UC4PxA0uZcKc6QqbIQUJyW1jVjueJYi1z8n0I5PxYrtpnPnWglE+y9A0KA==",
      "dev": true,
      "dependencies": {
        "undici-types": "~5.26.4"
      }
    },
    "node_modules/typescript": {
-      "version": "5.4.3",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.3.tgz",
-      "integrity": "sha512-KrPd3PKaCLr78MalgiwJnA25Nm8HAmdwN3mYUYZgG/wizIo9EainNVQI9/yDavtVFRN2h3k8uf3GLHuhDMgEHg==",
+      "version": "5.4.2",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.2.tgz",
+      "integrity": "sha512-+2/g0Fds1ERlP6JsakQQDXjZdZMM+rqpamFZJEKh4kwTIn3iDkgKtby0CeNd5ATNZ4Ry1ax15TMx0W2V+miizQ==",
      "dev": true,
      "bin": {
        "tsc": "bin/tsc",
@@ -1,6 +1,6 @@
 {
  "name": "@immich/sdk",
-  "version": "1.100.0",
+  "version": "1.99.0",
  "description": "Auto-generated TypeScript SDK for the Immich API",
  "type": "module",
  "main": "./build/index.js",
@@ -1,6 +1,6 @@
 /**
 * Immich
- * 1.100.0
+ * 1.99.0
 * DO NOT MODIFY - This file has been generated using oazapfts.
 * See https://www.npmjs.com/package/oazapfts
 */
@@ -242,14 +242,14 @@ export type CuratedLocationsResponseDto = {
    deviceAssetId: string;
    deviceId: string;
    id: string;
-    resizePath: string;
+    previewPath: string;
 };
 export type CuratedObjectsResponseDto = {
    deviceAssetId: string;
    deviceId: string;
    id: string;
    "object": string;
-    resizePath: string;
+    previewPath: string;
 };
 export type CheckExistingAssetsDto = {
    deviceAssetIds: string[];
@@ -273,7 +273,6 @@ export type MapMarkerResponseDto = {
 export type MemoryLaneResponseDto = {
    assets: AssetResponseDto[];
    title: string;
-    yearsAgo: number;
 };
 export type UpdateStackParentDto = {
    newParentId: string;
@@ -284,6 +283,10 @@ export type AssetStatsResponseDto = {
    total: number;
    videos: number;
 };
+export type TimeBucketResponseDto = {
+    count: number;
+    timeBucket: string;
+};
 export type CreateAssetDto = {
    assetData: Blob;
    deviceAssetId: string;
@@ -640,17 +643,17 @@ export type MetadataSearchDto = {
    originalPath?: string;
    page?: number;
    personIds?: string[];
-    resizePath?: string;
+    previewPath?: string;
    size?: number;
    state?: string;
    takenAfter?: string;
    takenBefore?: string;
+    thumbnailPath?: string;
    trashedAfter?: string;
    trashedBefore?: string;
    "type"?: AssetTypeEnum;
    updatedAfter?: string;
    updatedBefore?: string;
-    webpPath?: string;
    withArchived?: boolean;
    withDeleted?: boolean;
    withExif?: boolean;
@@ -827,6 +830,14 @@ export type SystemConfigFFmpegDto = {
    transcode: TranscodePolicy;
    twoPass: boolean;
 };
+export type SystemConfigThumbnailDto = {
+    colorspace: Colorspace;
+    previewFormat: ImageFormat;
+    previewSize: number;
+    quality: number;
+    thumbnailFormat: ImageFormat;
+    thumbnailSize: number;
+};
 export type JobSettingsDto = {
    concurrency: number;
 };
@@ -919,12 +930,6 @@ export type SystemConfigStorageTemplateDto = {
 export type SystemConfigThemeDto = {
    customCss: string;
 };
-export type SystemConfigThumbnailDto = {
-    colorspace: Colorspace;
-    jpegSize: number;
-    quality: number;
-    webpSize: number;
-};
 export type SystemConfigTrashDto = {
    days: number;
    enabled: boolean;
@@ -934,6 +939,7 @@ export type SystemConfigUserDto = {
 };
 export type SystemConfigDto = {
    ffmpeg: SystemConfigFFmpegDto;
+    image: SystemConfigThumbnailDto;
    job: SystemConfigJobDto;
    library: SystemConfigLibraryDto;
    logging: SystemConfigLoggingDto;
@@ -946,7 +952,6 @@ export type SystemConfigDto = {
    server: SystemConfigServerDto;
    storageTemplate: SystemConfigStorageTemplateDto;
    theme: SystemConfigThemeDto;
-    thumbnail: SystemConfigThumbnailDto;
    trash: SystemConfigTrashDto;
    user: SystemConfigUserDto;
 };
@@ -967,10 +972,6 @@ export type CreateTagDto = {
 export type UpdateTagDto = {
    name?: string;
 };
-export type TimeBucketResponseDto = {
-    count: number;
-    timeBucket: string;
-};
 export type CreateUserDto = {
    email: string;
    memoriesEnabled?: boolean;
@@ -1456,6 +1457,72 @@ export function getAssetThumbnail({ format, id, key }: {
        ...opts
    }));
 }
+export function getTimeBucket({ albumId, isArchived, isFavorite, isTrashed, key, order, personId, size, timeBucket, userId, withPartners, withStacked }: {
+    albumId?: string;
+    isArchived?: boolean;
+    isFavorite?: boolean;
+    isTrashed?: boolean;
+    key?: string;
+    order?: AssetOrder;
+    personId?: string;
+    size: TimeBucketSize;
+    timeBucket: string;
+    userId?: string;
+    withPartners?: boolean;
+    withStacked?: boolean;
+}, opts?: Oazapfts.RequestOpts) {
+    return oazapfts.ok(oazapfts.fetchJson<{
+        status: 200;
+        data: AssetResponseDto[];
+    }>(`/asset/time-bucket${QS.query(QS.explode({
+        albumId,
+        isArchived,
+        isFavorite,
+        isTrashed,
+        key,
+        order,
+        personId,
+        size,
+        timeBucket,
+        userId,
+        withPartners,
+        withStacked
+    }))}`, {
+        ...opts
+    }));
+}
+export function getTimeBuckets({ albumId, isArchived, isFavorite, isTrashed, key, order, personId, size, userId, withPartners, withStacked }: {
+    albumId?: string;
+    isArchived?: boolean;
+    isFavorite?: boolean;
+    isTrashed?: boolean;
+    key?: string;
+    order?: AssetOrder;
+    personId?: string;
+    size: TimeBucketSize;
+    userId?: string;
+    withPartners?: boolean;
+    withStacked?: boolean;
+}, opts?: Oazapfts.RequestOpts) {
+    return oazapfts.ok(oazapfts.fetchJson<{
+        status: 200;
+        data: TimeBucketResponseDto[];
+    }>(`/asset/time-buckets${QS.query(QS.explode({
+        albumId,
+        isArchived,
+        isFavorite,
+        isTrashed,
+        key,
+        order,
+        personId,
+        size,
+        userId,
+        withPartners,
+        withStacked
+    }))}`, {
+        ...opts
+    }));
+}
 export function uploadFile({ key, createAssetDto }: {
    key?: string;
    createAssetDto: CreateAssetDto;
@@ -1497,7 +1564,7 @@ export function updateAsset({ id, updateAssetDto }: {
        body: updateAssetDto
    })));
 }
-export function searchAssets({ checksum, city, country, createdAfter, createdBefore, deviceAssetId, deviceId, encodedVideoPath, id, isArchived, isEncoded, isExternal, isFavorite, isMotion, isNotInAlbum, isOffline, isReadOnly, isVisible, lensModel, libraryId, make, model, order, originalFileName, originalPath, page, personIds, resizePath, size, state, takenAfter, takenBefore, trashedAfter, trashedBefore, $type, updatedAfter, updatedBefore, webpPath, withArchived, withDeleted, withExif, withPeople, withStacked }: {
+export function searchAssets({ checksum, city, country, createdAfter, createdBefore, deviceAssetId, deviceId, encodedVideoPath, id, isArchived, isEncoded, isExternal, isFavorite, isMotion, isNotInAlbum, isOffline, isReadOnly, isVisible, lensModel, libraryId, make, model, order, originalFileName, originalPath, page, personIds, previewPath, size, state, takenAfter, takenBefore, thumbnailPath, trashedAfter, trashedBefore, $type, updatedAfter, updatedBefore, withArchived, withDeleted, withExif, withPeople, withStacked }: {
    checksum?: string;
    city?: string;
    country?: string;
@@ -1525,17 +1592,17 @@ export function searchAssets({ checksum, city, country, createdAfter, createdBef
    originalPath?: string;
    page?: number;
    personIds?: string[];
-    resizePath?: string;
+    previewPath?: string;
    size?: number;
    state?: string;
    takenAfter?: string;
    takenBefore?: string;
+    thumbnailPath?: string;
    trashedAfter?: string;
    trashedBefore?: string;
    $type?: AssetTypeEnum;
    updatedAfter?: string;
    updatedBefore?: string;
-    webpPath?: string;
    withArchived?: boolean;
    withDeleted?: boolean;
    withExif?: boolean;
@@ -1573,17 +1640,17 @@ export function searchAssets({ checksum, city, country, createdAfter, createdBef
        originalPath,
        page,
        personIds,
-        resizePath,
+        previewPath,
        size,
        state,
        takenAfter,
        takenBefore,
+        thumbnailPath,
        trashedAfter,
        trashedBefore,
        "type": $type,
        updatedAfter,
        updatedBefore,
-        webpPath,
        withArchived,
        withDeleted,
        withExif,
@@ -2422,15 +2489,13 @@ export function getConfigDefaults(opts?: Oazapfts.RequestOpts) {
        ...opts
    }));
 }
-export function getMapStyle({ key, theme }: {
-    key?: string;
+export function getMapStyle({ theme }: {
    theme: MapTheme;
 }, opts?: Oazapfts.RequestOpts) {
    return oazapfts.ok(oazapfts.fetchJson<{
        status: 200;
        data: object;
    }>(`/system-config/map/style.json${QS.query(QS.explode({
-        key,
        theme
    }))}`, {
        ...opts
@@ -2531,72 +2596,6 @@ export function tagAssets({ id, assetIdsDto }: {
        body: assetIdsDto
    })));
 }
-export function getTimeBucket({ albumId, isArchived, isFavorite, isTrashed, key, order, personId, size, timeBucket, userId, withPartners, withStacked }: {
-    albumId?: string;
-    isArchived?: boolean;
-    isFavorite?: boolean;
-    isTrashed?: boolean;
-    key?: string;
-    order?: AssetOrder;
-    personId?: string;
-    size: TimeBucketSize;
-    timeBucket: string;
-    userId?: string;
-    withPartners?: boolean;
-    withStacked?: boolean;
-}, opts?: Oazapfts.RequestOpts) {
-    return oazapfts.ok(oazapfts.fetchJson<{
-        status: 200;
-        data: AssetResponseDto[];
-    }>(`/timeline/bucket${QS.query(QS.explode({
-        albumId,
-        isArchived,
-        isFavorite,
-        isTrashed,
-        key,
-        order,
-        personId,
-        size,
-        timeBucket,
-        userId,
-        withPartners,
-        withStacked
-    }))}`, {
-        ...opts
-    }));
-}
-export function getTimeBuckets({ albumId, isArchived, isFavorite, isTrashed, key, order, personId, size, userId, withPartners, withStacked }: {
-    albumId?: string;
-    isArchived?: boolean;
-    isFavorite?: boolean;
-    isTrashed?: boolean;
-    key?: string;
-    order?: AssetOrder;
-    personId?: string;
-    size: TimeBucketSize;
-    userId?: string;
-    withPartners?: boolean;
-    withStacked?: boolean;
-}, opts?: Oazapfts.RequestOpts) {
-    return oazapfts.ok(oazapfts.fetchJson<{
-        status: 200;
-        data: TimeBucketResponseDto[];
-    }>(`/timeline/buckets${QS.query(QS.explode({
-        albumId,
-        isArchived,
-        isFavorite,
-        isTrashed,
-        key,
-        order,
-        personId,
-        size,
-        userId,
-        withPartners,
-        withStacked
-    }))}`, {
-        ...opts
-    }));
-}
 export function emptyTrash(opts?: Oazapfts.RequestOpts) {
    return oazapfts.ok(oazapfts.fetchText("/trash/empty", {
        ...opts,
@@ -2788,8 +2787,12 @@ export enum AssetJobName {
    TranscodeVideo = "transcode-video"
 }
 export enum ThumbnailFormat {
-    Jpeg = "JPEG",
-    Webp = "WEBP"
+    Jpeg = "jpeg",
+    Webp = "webp"
+}
+export enum TimeBucketSize {
+    Day = "DAY",
+    Month = "MONTH"
 }
 export enum EntityType {
    Asset = "ASSET",
@@ -2802,8 +2805,8 @@ export enum PathEntityType {
 }
 export enum PathType {
    Original = "original",
-    JpegThumbnail = "jpeg_thumbnail",
-    WebpThumbnail = "webp_thumbnail",
+    Preview = "preview",
+    Thumbnail = "thumbnail",
    EncodedVideo = "encoded_video",
    Sidecar = "sidecar",
    Face = "face",
@@ -2885,6 +2888,14 @@ export enum TranscodePolicy {
    Required = "required",
    Disabled = "disabled"
 }
+export enum Colorspace {
+    Srgb = "srgb",
+    P3 = "p3"
+}
+export enum ImageFormat {
+    Jpeg = "jpeg",
+    Webp = "webp"
+}
 export enum LogLevel {
    Verbose = "verbose",
    Debug = "debug",
@@ -2901,15 +2912,7 @@ export enum ModelType {
    FacialRecognition = "facial-recognition",
    Clip = "clip"
 }
-export enum Colorspace {
-    Srgb = "srgb",
-    P3 = "p3"
-}
 export enum MapTheme {
    Light = "light",
    Dark = "dark"
 }
-export enum TimeBucketSize {
-    Day = "DAY",
-    Month = "MONTH"
-}
@@ -9,12 +9,12 @@
 </p>

 <p align="center">
-<img src="../design/immich-logo-stacked-light.svg" width="300" title="Iniciar sessió amb URL personalitzada">
+<img src="design/immich-logo-stacked-light.svg" width="300" title="Iniciar sessió amb URL personalitzada">
 </p>
 <h3 align="center">Immich - Solució de còpia de seguretat d'alta rendiment per a fotos i vídeos auto-allotjada</h3>
 <br/>
 <a href="https://immich.app">
-<img src="../design/immich-screenshots.png" title="Captura de pantalla principal">
+<img src="design/immich-screenshots.png" title="Captura de pantalla principal">
 </a>
 <br/>
 <p align="center">
@@ -9,12 +9,12 @@
 </p>

 <p align="center">
-<img src="../design/immich-logo-stacked-light.svg" width="300" title="Login mit eigener URL">
+<img src="design/immich-logo-stacked-light.svg" width="300" title="Login mit eigener URL">
 </p>
 <h3 align="center">Immich - Hoch performante, selbst gehostete Backup-Lösung für Fotos und Videos</h3>
 <br/>
 <a href="https://immich.app">
-<img src="../design/immich-screenshots.png" title="Haupt-Screenshot">
+<img src="design/immich-screenshots.png" title="Haupt-Screenshot">
 </a>
 <br/>
 <p align="center">
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
mertalev	bd0a8a8c73	update api	2024-03-24 02:56:49 -04:00
mertalev	9157fab650	update sql	2024-03-24 02:50:08 -04:00
mertalev	27a57a0c3a	better typing	2024-03-24 02:49:56 -04:00
mertalev	7e07b74406	replace legacy enum	2024-03-24 02:31:03 -04:00
mertalev	d451abd96c	rename to image settings	2024-03-24 02:28:40 -04:00
mertalev	a9b90787b2	update target paths, fix tests	2024-03-24 02:16:09 -04:00
mertalev	35a2aa472a	thumbnail config	2024-03-24 01:57:02 -04:00
mertalev	5a1a6493c6	rename	2024-03-24 01:52:38 -04:00