tmp: build server image with lcms-enabled base

* fix(deps): update typescript-projects

* chore: downgrade dependencies

* chore: downgrade svelte-gestures

* fix: svelte/no-navigation-without-resolve

* fix: dumb test

---------

Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
Co-authored-by: Zack Pollard <zack@futo.org>
Co-authored-by: Daniel Dietzler <mail@ddietzler.dev>
Co-authored-by: Jason Rasmussen <jason@rasm.me>

docs/docs/install/environment-variables.md

@@ -169,8 +169,6 @@ Redis (Sentinel) URL example JSON before encoding:
 | `MACHINE_LEARNING_ANN_TUNING_LEVEL`                         | ARM-NN GPU tuning level (1: rapid, 2: normal, 3: exhaustive)                                        |               `2`               | machine learning |
 | `MACHINE_LEARNING_DEVICE_IDS`<sup>\*4</sup>                 | Device IDs to use in multi-GPU environments                                                         |               `0`               | machine learning |
 | `MACHINE_LEARNING_MAX_BATCH_SIZE__FACIAL_RECOGNITION`       | Set the maximum number of faces that will be processed at once by the facial recognition model      |  None (`1` if using OpenVINO)   | machine learning |
-| `MACHINE_LEARNING_PING_TIMEOUT`                             | How long (ms) to wait for a PING response when checking if an ML server is available                |             `2000`              | server           |
-| `MACHINE_LEARNING_AVAILABILITY_BACKOFF_TIME`                | How long to ignore ML servers that are offline before trying again                                  |             `30000`             | server           |
 | `MACHINE_LEARNING_RKNN`                                     | Enable RKNN hardware acceleration if supported                                                      |             `True`              | machine learning |
 | `MACHINE_LEARNING_RKNN_THREADS`                             | How many threads of RKNN runtime should be spinned up while inferencing.                            |               `1`               | machine learning |
 

i18n/en.json

@@ -123,6 +123,13 @@
     "logging_enable_description": "Enable logging",
     "logging_level_description": "When enabled, what log level to use.",
     "logging_settings": "Logging",
+    "machine_learning_availability_checks": "Availability checks",
+    "machine_learning_availability_checks_description": "Automatically detect and prefer available machine learning servers",
+    "machine_learning_availability_checks_enabled": "Enable availability checks",
+    "machine_learning_availability_checks_interval": "Check interval",
+    "machine_learning_availability_checks_interval_description": "Interval in milliseconds between availability checks",
+    "machine_learning_availability_checks_timeout": "Request timeout",
+    "machine_learning_availability_checks_timeout_description": "Timeout in milliseconds for availability checks",
     "machine_learning_clip_model": "CLIP model",
     "machine_learning_clip_model_description": "The name of a CLIP model listed <link>here</link>. Note that you must re-run the 'Smart Search' job for all images upon changing a model.",
     "machine_learning_duplicate_detection": "Duplicate Detection",
@@ -913,6 +920,7 @@
     "cant_get_number_of_comments": "Can't get number of comments",
     "cant_search_people": "Can't search people",
     "cant_search_places": "Can't search places",
+    "clipboard_unsupported_mime_type": "The system clipboard does not support copying this type of content: {mimeType}",
     "error_adding_assets_to_album": "Error adding assets to album",
     "error_adding_users_to_album": "Error adding users to album",
     "error_deleting_shared_user": "Error deleting shared user",
@@ -1916,6 +1924,7 @@
   "stacktrace": "Stacktrace",
   "start": "Start",
   "start_date": "Start date",
+  "start_date_before_end_date": "Start date must be before end date",
   "state": "State",
   "status": "Status",
   "stop_casting": "Stop casting",

mise.toml

@@ -1,7 +1,7 @@
 [tools]
 node = "22.19.0"
 flutter = "3.35.4"
-pnpm = "10.14.0"
+pnpm = "10.15.1"
 dart = "3.8.2"
 
 [tools."github:CQLabs/homebrew-dcm"]

mobile/openapi/README.md

@@ -393,6 +393,7 @@ Class | Method | HTTP request | Description
  - [LoginCredentialDto](doc//LoginCredentialDto.md)
  - [LoginResponseDto](doc//LoginResponseDto.md)
  - [LogoutResponseDto](doc//LogoutResponseDto.md)
+ - [MachineLearningAvailabilityChecksDto](doc//MachineLearningAvailabilityChecksDto.md)
  - [ManualJobName](doc//ManualJobName.md)
  - [MapMarkerResponseDto](doc//MapMarkerResponseDto.md)
  - [MapReverseGeocodeResponseDto](doc//MapReverseGeocodeResponseDto.md)

mobile/openapi/lib/api.dart

@@ -164,6 +164,7 @@ part 'model/log_level.dart';
 part 'model/login_credential_dto.dart';
 part 'model/login_response_dto.dart';
 part 'model/logout_response_dto.dart';
+part 'model/machine_learning_availability_checks_dto.dart';
 part 'model/manual_job_name.dart';
 part 'model/map_marker_response_dto.dart';
 part 'model/map_reverse_geocode_response_dto.dart';

mobile/openapi/lib/api_client.dart

@@ -382,6 +382,8 @@ class ApiClient {
           return LoginResponseDto.fromJson(value);
         case 'LogoutResponseDto':
           return LogoutResponseDto.fromJson(value);
+        case 'MachineLearningAvailabilityChecksDto':
+          return MachineLearningAvailabilityChecksDto.fromJson(value);
         case 'ManualJobName':
           return ManualJobNameTypeTransformer().decode(value);
         case 'MapMarkerResponseDto':

mobile/openapi/lib/model/machine_learning_availability_checks_dto.dart

@@ -0,0 +1,115 @@
+//
+// AUTO-GENERATED FILE, DO NOT MODIFY!
+//
+// @dart=2.18
+
+// 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 MachineLearningAvailabilityChecksDto {
+  /// Returns a new [MachineLearningAvailabilityChecksDto] instance.
+  MachineLearningAvailabilityChecksDto({
+    required this.enabled,
+    required this.interval,
+    required this.timeout,
+  });
+
+  bool enabled;
+
+  num interval;
+
+  num timeout;
+
+  @override
+  bool operator ==(Object other) => identical(this, other) || other is MachineLearningAvailabilityChecksDto &&
+    other.enabled == enabled &&
+    other.interval == interval &&
+    other.timeout == timeout;
+
+  @override
+  int get hashCode =>
+    // ignore: unnecessary_parenthesis
+    (enabled.hashCode) +
+    (interval.hashCode) +
+    (timeout.hashCode);
+
+  @override
+  String toString() => 'MachineLearningAvailabilityChecksDto[enabled=$enabled, interval=$interval, timeout=$timeout]';
+
+  Map<String, dynamic> toJson() {
+    final json = <String, dynamic>{};
+      json[r'enabled'] = this.enabled;
+      json[r'interval'] = this.interval;
+      json[r'timeout'] = this.timeout;
+    return json;
+  }
+
+  /// Returns a new [MachineLearningAvailabilityChecksDto] instance and imports its values from
+  /// [value] if it's a [Map], null otherwise.
+  // ignore: prefer_constructors_over_static_methods
+  static MachineLearningAvailabilityChecksDto? fromJson(dynamic value) {
+    upgradeDto(value, "MachineLearningAvailabilityChecksDto");
+    if (value is Map) {
+      final json = value.cast<String, dynamic>();
+
+      return MachineLearningAvailabilityChecksDto(
+        enabled: mapValueOfType<bool>(json, r'enabled')!,
+        interval: num.parse('${json[r'interval']}'),
+        timeout: num.parse('${json[r'timeout']}'),
+      );
+    }
+    return null;
+  }
+
+  static List<MachineLearningAvailabilityChecksDto> listFromJson(dynamic json, {bool growable = false,}) {
+    final result = <MachineLearningAvailabilityChecksDto>[];
+    if (json is List && json.isNotEmpty) {
+      for (final row in json) {
+        final value = MachineLearningAvailabilityChecksDto.fromJson(row);
+        if (value != null) {
+          result.add(value);
+        }
+      }
+    }
+    return result.toList(growable: growable);
+  }
+
+  static Map<String, MachineLearningAvailabilityChecksDto> mapFromJson(dynamic json) {
+    final map = <String, MachineLearningAvailabilityChecksDto>{};
+    if (json is Map && json.isNotEmpty) {
+      json = json.cast<String, dynamic>(); // ignore: parameter_assignments
+      for (final entry in json.entries) {
+        final value = MachineLearningAvailabilityChecksDto.fromJson(entry.value);
+        if (value != null) {
+          map[entry.key] = value;
+        }
+      }
+    }
+    return map;
+  }
+
+  // maps a json object with a list of MachineLearningAvailabilityChecksDto-objects as value to a dart map
+  static Map<String, List<MachineLearningAvailabilityChecksDto>> mapListFromJson(dynamic json, {bool growable = false,}) {
+    final map = <String, List<MachineLearningAvailabilityChecksDto>>{};
+    if (json is Map && json.isNotEmpty) {
+      // ignore: parameter_assignments
+      json = json.cast<String, dynamic>();
+      for (final entry in json.entries) {
+        map[entry.key] = MachineLearningAvailabilityChecksDto.listFromJson(entry.value, growable: growable,);
+      }
+    }
+    return map;
+  }
+
+  /// The list of required keys that must be present in a JSON.
+  static const requiredKeys = <String>{
+    'enabled',
+    'interval',
+    'timeout',
+  };
+}
+

mobile/openapi/lib/model/system_config_machine_learning_dto.dart

@@ -13,14 +13,16 @@ part of openapi.api;
 class SystemConfigMachineLearningDto {
   /// Returns a new [SystemConfigMachineLearningDto] instance.
   SystemConfigMachineLearningDto({
+    required this.availabilityChecks,
     required this.clip,
     required this.duplicateDetection,
     required this.enabled,
     required this.facialRecognition,
-    this.url,
     this.urls = const [],
   });
 
+  MachineLearningAvailabilityChecksDto availabilityChecks;
+
   CLIPConfig clip;
 
   DuplicateDetectionConfig duplicateDetection;
@@ -29,50 +31,37 @@ class SystemConfigMachineLearningDto {
 
   FacialRecognitionConfig facialRecognition;
 
-  /// This property was deprecated in v1.122.0
-  ///
-  /// 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? url;
-
   List<String> urls;
 
   @override
   bool operator ==(Object other) => identical(this, other) || other is SystemConfigMachineLearningDto &&
+    other.availabilityChecks == availabilityChecks &&
     other.clip == clip &&
     other.duplicateDetection == duplicateDetection &&
     other.enabled == enabled &&
     other.facialRecognition == facialRecognition &&
-    other.url == url &&
     _deepEquality.equals(other.urls, urls);
 
   @override
   int get hashCode =>
     // ignore: unnecessary_parenthesis
+    (availabilityChecks.hashCode) +
     (clip.hashCode) +
     (duplicateDetection.hashCode) +
     (enabled.hashCode) +
     (facialRecognition.hashCode) +
-    (url == null ? 0 : url!.hashCode) +
     (urls.hashCode);
 
   @override
-  String toString() => 'SystemConfigMachineLearningDto[clip=$clip, duplicateDetection=$duplicateDetection, enabled=$enabled, facialRecognition=$facialRecognition, url=$url, urls=$urls]';
+  String toString() => 'SystemConfigMachineLearningDto[availabilityChecks=$availabilityChecks, clip=$clip, duplicateDetection=$duplicateDetection, enabled=$enabled, facialRecognition=$facialRecognition, urls=$urls]';
 
   Map<String, dynamic> toJson() {
     final json = <String, dynamic>{};
+      json[r'availabilityChecks'] = this.availabilityChecks;
       json[r'clip'] = this.clip;
       json[r'duplicateDetection'] = this.duplicateDetection;
       json[r'enabled'] = this.enabled;
       json[r'facialRecognition'] = this.facialRecognition;
-    if (this.url != null) {
-      json[r'url'] = this.url;
-    } else {
-    //  json[r'url'] = null;
-    }
       json[r'urls'] = this.urls;
     return json;
   }
@@ -86,11 +75,11 @@ class SystemConfigMachineLearningDto {
       final json = value.cast<String, dynamic>();
 
       return SystemConfigMachineLearningDto(
+        availabilityChecks: MachineLearningAvailabilityChecksDto.fromJson(json[r'availabilityChecks'])!,
         clip: CLIPConfig.fromJson(json[r'clip'])!,
         duplicateDetection: DuplicateDetectionConfig.fromJson(json[r'duplicateDetection'])!,
         enabled: mapValueOfType<bool>(json, r'enabled')!,
         facialRecognition: FacialRecognitionConfig.fromJson(json[r'facialRecognition'])!,
-        url: mapValueOfType<String>(json, r'url'),
         urls: json[r'urls'] is Iterable
             ? (json[r'urls'] as Iterable).cast<String>().toList(growable: false)
             : const [],
@@ -141,6 +130,7 @@ class SystemConfigMachineLearningDto {
 
   /// The list of required keys that must be present in a JSON.
   static const requiredKeys = <String>{
+    'availabilityChecks',
     'clip',
     'duplicateDetection',
     'enabled',

open-api/immich-openapi-specs.json

@@ -12259,6 +12259,25 @@
         ],
         "type": "object"
       },
+      "MachineLearningAvailabilityChecksDto": {
+        "properties": {
+          "enabled": {
+            "type": "boolean"
+          },
+          "interval": {
+            "type": "number"
+          },
+          "timeout": {
+            "type": "number"
+          }
+        },
+        "required": [
+          "enabled",
+          "interval",
+          "timeout"
+        ],
+        "type": "object"
+      },
       "ManualJobName": {
         "enum": [
           "person-cleanup",
@@ -16395,6 +16414,9 @@
       },
       "SystemConfigMachineLearningDto": {
         "properties": {
+          "availabilityChecks": {
+            "$ref": "#/components/schemas/MachineLearningAvailabilityChecksDto"
+          },
           "clip": {
             "$ref": "#/components/schemas/CLIPConfig"
           },
@@ -16407,11 +16429,6 @@
           "facialRecognition": {
             "$ref": "#/components/schemas/FacialRecognitionConfig"
           },
-          "url": {
-            "deprecated": true,
-            "description": "This property was deprecated in v1.122.0",
-            "type": "string"
-          },
           "urls": {
             "format": "uri",
             "items": {
@@ -16423,6 +16440,7 @@
           }
         },
         "required": [
+          "availabilityChecks",
           "clip",
           "duplicateDetection",
           "enabled",

open-api/typescript-sdk/src/fetch-client.ts

@@ -1383,6 +1383,11 @@ export type SystemConfigLoggingDto = {
     enabled: boolean;
     level: LogLevel;
 };
+export type MachineLearningAvailabilityChecksDto = {
+    enabled: boolean;
+    interval: number;
+    timeout: number;
+};
 export type ClipConfig = {
     enabled: boolean;
     modelName: string;
@@ -1399,12 +1404,11 @@ export type FacialRecognitionConfig = {
     modelName: string;
 };
 export type SystemConfigMachineLearningDto = {
+    availabilityChecks: MachineLearningAvailabilityChecksDto;
     clip: ClipConfig;
     duplicateDetection: DuplicateDetectionConfig;
     enabled: boolean;
     facialRecognition: FacialRecognitionConfig;
-    /** This property was deprecated in v1.122.0 */
-    url?: string;
     urls: string[];
 };
 export type SystemConfigMapDto = {

package.json

@@ -3,7 +3,7 @@
   "version": "0.0.1",
   "description": "Monorepo for Immich",
   "private": true,
-  "packageManager": "pnpm@10.14.0+sha512.ad27a79641b49c3e481a16a805baa71817a04bbe06a38d17e60e2eaee83f6a146c6a688125f5792e48dd5ba30e7da52a5cda4c3992b9ccf333f9ce223af84748",
+  "packageManager": "pnpm@10.15.1+sha512.34e538c329b5553014ca8e8f4535997f96180a1d0f614339357449935350d924e22f8614682191264ec33d1462ac21561aff97f6bb18065351c162c7e8f6de67",
   "engines": {
     "pnpm": ">=10.0.0"
   }

server/Dockerfile

@@ -1,4 +1,4 @@
-FROM ghcr.io/immich-app/base-server-dev:202509091104@sha256:4f9275330f1e49e7ce9840758ea91839052fe6ed40972d5bb97a9af857fa956a AS builder
+FROM ghcr.io/immich-app/base-server-dev:pr-272 AS builder
 ENV COREPACK_ENABLE_DOWNLOAD_PROMPT=0 \
   CI=1 \
   COREPACK_HOME=/tmp
@@ -33,7 +33,7 @@ RUN pnpm --filter @immich/sdk --filter @immich/cli --frozen-lockfile install &&
   pnpm --filter @immich/sdk --filter @immich/cli build && \
   pnpm --filter @immich/cli --prod --no-optional deploy /output/cli-pruned
 
-FROM ghcr.io/immich-app/base-server-prod:202509091104@sha256:d1ccbac24c84f2f8277cf85281edfca62d85d7daed6a62b8efd3a81bcd3c5e0e
+FROM ghcr.io/immich-app/base-server-prod:pr-272
 
 WORKDIR /usr/src/app
 ENV NODE_ENV=production \

server/package.json

@@ -44,14 +44,14 @@
     "@nestjs/websockets": "^11.0.4",
     "@opentelemetry/api": "^1.9.0",
     "@opentelemetry/context-async-hooks": "^2.0.0",
-    "@opentelemetry/exporter-prometheus": "^0.203.0",
+    "@opentelemetry/exporter-prometheus": "^0.205.0",
-    "@opentelemetry/instrumentation-http": "^0.203.0",
+    "@opentelemetry/instrumentation-http": "^0.205.0",
-    "@opentelemetry/instrumentation-ioredis": "^0.51.0",
+    "@opentelemetry/instrumentation-ioredis": "^0.53.0",
-    "@opentelemetry/instrumentation-nestjs-core": "^0.49.0",
+    "@opentelemetry/instrumentation-nestjs-core": "^0.51.0",
-    "@opentelemetry/instrumentation-pg": "^0.56.0",
+    "@opentelemetry/instrumentation-pg": "^0.58.0",
     "@opentelemetry/resources": "^2.0.1",
     "@opentelemetry/sdk-metrics": "^2.0.1",
-    "@opentelemetry/sdk-node": "^0.203.0",
+    "@opentelemetry/sdk-node": "^0.205.0",
     "@opentelemetry/semantic-conventions": "^1.34.0",
     "@react-email/components": "^0.5.0",
     "@react-email/render": "^1.1.2",

server/src/bin/sync-sql.ts

@@ -15,6 +15,7 @@ import { repositories } from 'src/repositories';
 import { AccessRepository } from 'src/repositories/access.repository';
 import { ConfigRepository } from 'src/repositories/config.repository';
 import { LoggingRepository } from 'src/repositories/logging.repository';
+import { MachineLearningRepository } from 'src/repositories/machine-learning.repository';
 import { SyncRepository } from 'src/repositories/sync.repository';
 import { AuthService } from 'src/services/auth.service';
 import { getKyselyConfig } from 'src/utils/database';
@@ -57,7 +58,7 @@ class SqlGenerator {
     try {
       await this.setup();
       for (const Repository of repositories) {
-        if (Repository === LoggingRepository) {
+        if (Repository === LoggingRepository || Repository === MachineLearningRepository) {
           continue;
         }
         await this.process(Repository);

server/src/config.ts

@@ -54,6 +54,11 @@ export interface SystemConfig {
   machineLearning: {
     enabled: boolean;
     urls: string[];
+    availabilityChecks: {
+      enabled: boolean;
+      timeout: number;
+      interval: number;
+    };
     clip: {
       enabled: boolean;
       modelName: string;
@@ -176,6 +181,8 @@ export interface SystemConfig {
   };
 }
 
+export type MachineLearningConfig = SystemConfig['machineLearning'];
+
 export const defaults = Object.freeze<SystemConfig>({
   backup: {
     database: {
@@ -227,6 +234,11 @@ export const defaults = Object.freeze<SystemConfig>({
   machineLearning: {
     enabled: process.env.IMMICH_MACHINE_LEARNING_ENABLED !== 'false',
     urls: [process.env.IMMICH_MACHINE_LEARNING_URL || 'http://immich-machine-learning:3003'],
+    availabilityChecks: {
+      enabled: true,
+      timeout: Number(process.env.IMMICH_MACHINE_LEARNING_PING_TIMEOUT) || 2000,
+      interval: 30_000,
+    },
     clip: {
       enabled: true,
       modelName: 'ViT-B-32__openai',

server/src/constants.ts

@@ -51,11 +51,6 @@ export const serverVersion = new SemVer(version);
 export const AUDIT_LOG_MAX_DURATION = Duration.fromObject({ days: 100 });
 export const ONE_HOUR = Duration.fromObject({ hours: 1 });
 
-export const MACHINE_LEARNING_PING_TIMEOUT = Number(process.env.MACHINE_LEARNING_PING_TIMEOUT || 2000);
-export const MACHINE_LEARNING_AVAILABILITY_BACKOFF_TIME = Number(
-  process.env.MACHINE_LEARNING_AVAILABILITY_BACKOFF_TIME || 30_000,
-);
-
 export const citiesFile = 'cities500.txt';
 export const reverseGeocodeMaxDistance = 25_000;
 

server/src/dtos/search.dto.ts

@@ -6,7 +6,7 @@ import { PropertyLifecycle } from 'src/decorators';
 import { AlbumResponseDto } from 'src/dtos/album.dto';
 import { AssetResponseDto } from 'src/dtos/asset-response.dto';
 import { AssetOrder, AssetType, AssetVisibility } from 'src/enum';
-import { Optional, ValidateBoolean, ValidateDate, ValidateEnum, ValidateUUID } from 'src/validation';
+import { Optional, ValidateBoolean, ValidateDate, ValidateEnum, ValidateString, ValidateUUID } from 'src/validation';
 
 class BaseSearchDto {
   @ValidateUUID({ optional: true, nullable: true })
@@ -144,9 +144,7 @@ export class MetadataSearchDto extends RandomSearchDto {
   @Optional()
   deviceAssetId?: string;
 
-  @IsString()
+  @ValidateString({ optional: true, trim: true })
-  @IsNotEmpty()
-  @Optional()
   description?: string;
 
   @IsString()
@@ -154,9 +152,7 @@ export class MetadataSearchDto extends RandomSearchDto {
   @Optional()
   checksum?: string;
 
-  @IsString()
+  @ValidateString({ optional: true, trim: true })
-  @IsNotEmpty()
-  @Optional()
   originalFileName?: string;
 
   @IsString()
@@ -190,16 +186,12 @@ export class MetadataSearchDto extends RandomSearchDto {
 }
 
 export class StatisticsSearchDto extends BaseSearchDto {
-  @IsString()
+  @ValidateString({ optional: true, trim: true })
-  @IsNotEmpty()
-  @Optional()
   description?: string;
 }
 
 export class SmartSearchDto extends BaseSearchWithResultsDto {
-  @IsString()
+  @ValidateString({ optional: true, trim: true })
-  @IsNotEmpty()
-  @Optional()
   query?: string;
 
   @ValidateUUID({ optional: true })

server/src/dtos/system-config.dto.ts

@@ -1,5 +1,5 @@
 import { ApiProperty } from '@nestjs/swagger';
-import { Exclude, Transform, Type } from 'class-transformer';
+import { Type } from 'class-transformer';
 import {
   ArrayMinSize,
   IsInt,
@@ -15,7 +15,6 @@ import {
   ValidateNested,
 } from 'class-validator';
 import { SystemConfig } from 'src/config';
-import { PropertyLifecycle } from 'src/decorators';
 import { CLIPConfig, DuplicateDetectionConfig, FacialRecognitionConfig } from 'src/dtos/model-config.dto';
 import {
   AudioCodec,
@@ -257,21 +256,32 @@ class SystemConfigLoggingDto {
   level!: LogLevel;
 }
 
+class MachineLearningAvailabilityChecksDto {
+  @ValidateBoolean()
+  enabled!: boolean;
+
+  @IsInt()
+  timeout!: number;
+
+  @IsInt()
+  interval!: number;
+}
+
 class SystemConfigMachineLearningDto {
   @ValidateBoolean()
   enabled!: boolean;
 
-  @PropertyLifecycle({ deprecatedAt: 'v1.122.0' })
-  @Exclude()
-  url?: string;
-
   @IsUrl({ require_tld: false, allow_underscores: true }, { each: true })
   @ArrayMinSize(1)
-  @Transform(({ obj, value }) => (obj.url ? [obj.url] : value))
   @ValidateIf((dto) => dto.enabled)
   @ApiProperty({ type: 'array', items: { type: 'string', format: 'uri' }, minItems: 1 })
   urls!: string[];
 
+  @Type(() => MachineLearningAvailabilityChecksDto)
+  @ValidateNested()
+  @IsObject()
+  availabilityChecks!: MachineLearningAvailabilityChecksDto;
+
   @Type(() => CLIPConfig)
   @ValidateNested()
   @IsObject()

server/src/repositories/logging.repository.ts

@@ -142,6 +142,10 @@ export class LoggingRepository {
     this.handleMessage(LogLevel.Fatal, message, details);
   }
 
+  deprecate(message: string) {
+    this.warn(`[Deprecated] ${message}`);
+  }
+
   private handleFunction(level: LogLevel, message: LogFunction, details: LogDetails[]) {
     if (this.logger.isLevelEnabled(level)) {
       this.handleMessage(level, message(), details);

server/src/repositories/machine-learning.repository.ts

@@ -1,6 +1,7 @@
 import { Injectable } from '@nestjs/common';
+import { Duration } from 'luxon';
 import { readFile } from 'node:fs/promises';
-import { MACHINE_LEARNING_AVAILABILITY_BACKOFF_TIME, MACHINE_LEARNING_PING_TIMEOUT } from 'src/constants';
+import { MachineLearningConfig } from 'src/config';
 import { CLIPConfig } from 'src/dtos/model-config.dto';
 import { LoggingRepository } from 'src/repositories/logging.repository';
 
@@ -57,82 +58,100 @@ export type TextEncodingOptions = ModelOptions & { language?: string };
 
 @Injectable()
 export class MachineLearningRepository {
-  // Note that deleted URL's are not removed from this map (ie: they're leaked)
+  private healthyMap: Record<string, boolean> = {};
-  // Cleaning them up is low priority since there should be very few over a
+  private interval?: ReturnType<typeof setInterval>;
-  // typical server uptime cycle
+  private _config?: MachineLearningConfig;
-  private urlAvailability: {
+
-    [url: string]:
+  private get config(): MachineLearningConfig {
-      | {
+    if (!this._config) {
-          active: boolean;
+      throw new Error('Machine learning repository not been setup');
-          lastChecked: number;
+    }
-        }
+
-      | undefined;
+    return this._config;
-  };
+  }
 
   constructor(private logger: LoggingRepository) {
     this.logger.setContext(MachineLearningRepository.name);
-    this.urlAvailability = {};
   }
 
-  private setUrlAvailability(url: string, active: boolean) {
+  setup(config: MachineLearningConfig) {
-    const current = this.urlAvailability[url];
+    this._config = config;
-    if (current?.active !== active) {
+    this.teardown();
-      this.logger.verbose(`Setting ${url} ML server to ${active ? 'active' : 'inactive'}.`);
+
+    // delete old servers
+    for (const url of Object.keys(this.healthyMap)) {
+      if (!config.urls.includes(url)) {
+        delete this.healthyMap[url];
+      }
     }
-    this.urlAvailability[url] = {
+
-      active,
+    if (!config.availabilityChecks.enabled) {
-      lastChecked: Date.now(),
+      return;
-    };
+    }
+
+    this.tick();
+    this.interval = setInterval(
+      () => this.tick(),
+      Duration.fromObject({ milliseconds: config.availabilityChecks.interval }).as('milliseconds'),
+    );
   }
 
-  private async checkAvailability(url: string) {
+  teardown() {
-    let active = false;
+    if (this.interval) {
+      clearInterval(this.interval);
+    }
+  }
+
+  private tick() {
+    for (const url of this.config.urls) {
+      void this.check(url);
+    }
+  }
+
+  private async check(url: string) {
+    let healthy = false;
     try {
       const response = await fetch(new URL('/ping', url), {
-        signal: AbortSignal.timeout(MACHINE_LEARNING_PING_TIMEOUT),
+        signal: AbortSignal.timeout(this.config.availabilityChecks.timeout),
       });
-      active = response.ok;
+      if (response.ok) {
+        healthy = true;
+      }
     } catch {
       // nothing to do here
     }
-    this.setUrlAvailability(url, active);
+
-    return active;
+    this.setHealthy(url, healthy);
   }
 
-  private async shouldSkipUrl(url: string) {
+  private setHealthy(url: string, healthy: boolean) {
-    const availability = this.urlAvailability[url];
+    if (this.healthyMap[url] !== healthy) {
-    if (availability === undefined) {
+      this.logger.log(`Machine learning server became ${healthy ? 'healthy' : 'unhealthy'} (${url}).`);
-      // If this is a new endpoint, then check inline and skip if it fails
-      if (!(await this.checkAvailability(url))) {
-        return true;
-      }
-      return false;
     }
-    if (!availability.active && Date.now() - availability.lastChecked < MACHINE_LEARNING_AVAILABILITY_BACKOFF_TIME) {
+
-      // If this is an old inactive endpoint that hasn't been checked in a
+    this.healthyMap[url] = healthy;
-      // while then check but don't wait for the result, just skip it
+  }
-      // This avoids delays on every search whilst allowing higher priority
+
-      // ML servers to recover over time.
+  private isHealthy(url: string) {
-      void this.checkAvailability(url);
+    if (!this.config.availabilityChecks.enabled) {
       return true;
     }
-    return false;
+
+    return this.healthyMap[url];
   }
 
-  private async predict<T>(urls: string[], payload: ModelPayload, config: MachineLearningRequest): Promise<T> {
+  private async predict<T>(payload: ModelPayload, config: MachineLearningRequest): Promise<T> {
     const formData = await this.getFormData(payload, config);
-    let urlCounter = 0;
-    for (const url of urls) {
-      urlCounter++;
-      const isLast = urlCounter >= urls.length;
-      if (!isLast && (await this.shouldSkipUrl(url))) {
-        continue;
-      }
 
+    for (const url of [
+      // try healthy servers first
+      ...this.config.urls.filter((url) => this.isHealthy(url)),
+      ...this.config.urls.filter((url) => !this.isHealthy(url)),
+    ]) {
       try {
         const response = await fetch(new URL('/predict', url), { method: 'POST', body: formData });
         if (response.ok) {
-          this.setUrlAvailability(url, true);
+          this.setHealthy(url, true);
           return response.json();
         }
 
@@ -144,20 +163,21 @@ export class MachineLearningRepository {
           `Machine learning request to "${url}" failed: ${error instanceof Error ? error.message : error}`,
         );
       }
-      this.setUrlAvailability(url, false);
+
+      this.setHealthy(url, false);
     }
 
     throw new Error(`Machine learning request '${JSON.stringify(config)}' failed for all URLs`);
   }
 
-  async detectFaces(urls: string[], imagePath: string, { modelName, minScore }: FaceDetectionOptions) {
+  async detectFaces(imagePath: string, { modelName, minScore }: FaceDetectionOptions) {
     const request = {
       [ModelTask.FACIAL_RECOGNITION]: {
         [ModelType.DETECTION]: { modelName, options: { minScore } },
         [ModelType.RECOGNITION]: { modelName },
       },
     };
-    const response = await this.predict<FacialRecognitionResponse>(urls, { imagePath }, request);
+    const response = await this.predict<FacialRecognitionResponse>({ imagePath }, request);
     return {
       imageHeight: response.imageHeight,
       imageWidth: response.imageWidth,
@@ -165,15 +185,15 @@ export class MachineLearningRepository {
     };
   }
 
-  async encodeImage(urls: string[], imagePath: string, { modelName }: CLIPConfig) {
+  async encodeImage(imagePath: string, { modelName }: CLIPConfig) {
     const request = { [ModelTask.SEARCH]: { [ModelType.VISUAL]: { modelName } } };
-    const response = await this.predict<ClipVisualResponse>(urls, { imagePath }, request);
+    const response = await this.predict<ClipVisualResponse>({ imagePath }, request);
     return response[ModelTask.SEARCH];
   }
 
-  async encodeText(urls: string[], text: string, { language, modelName }: TextEncodingOptions) {
+  async encodeText(text: string, { language, modelName }: TextEncodingOptions) {
     const request = { [ModelTask.SEARCH]: { [ModelType.TEXTUAL]: { modelName, options: { language } } } };
-    const response = await this.predict<ClipTextualResponse>(urls, { text }, request);
+    const response = await this.predict<ClipTextualResponse>({ text }, request);
     return response[ModelTask.SEARCH];
   }
 

server/src/services/person.service.spec.ts

@@ -729,7 +729,6 @@ describe(PersonService.name, () => {
       mocks.assetJob.getForDetectFacesJob.mockResolvedValue({ ...assetStub.image, files: [assetStub.image.files[1]] });
       await sut.handleDetectFaces({ id: assetStub.image.id });
       expect(mocks.machineLearning.detectFaces).toHaveBeenCalledWith(
-        ['http://immich-machine-learning:3003'],
         '/uploads/user-id/thumbs/path.jpg',
         expect.objectContaining({ minScore: 0.7, modelName: 'buffalo_l' }),
       );

server/src/services/person.service.ts

@@ -316,7 +316,6 @@ export class PersonService extends BaseService {
     }
 
     const { imageHeight, imageWidth, faces } = await this.machineLearningRepository.detectFaces(
-      machineLearning.urls,
       previewFile.path,
       machineLearning.facialRecognition,
     );

server/src/services/search.service.spec.ts

@@ -211,7 +211,6 @@ describe(SearchService.name, () => {
       await sut.searchSmart(authStub.user1, { query: 'test' });
 
       expect(mocks.machineLearning.encodeText).toHaveBeenCalledWith(
-        [expect.any(String)],
         'test',
         expect.objectContaining({ modelName: expect.any(String) }),
       );
@@ -225,7 +224,6 @@ describe(SearchService.name, () => {
       await sut.searchSmart(authStub.user1, { query: 'test', page: 2, size: 50 });
 
       expect(mocks.machineLearning.encodeText).toHaveBeenCalledWith(
-        [expect.any(String)],
         'test',
         expect.objectContaining({ modelName: expect.any(String) }),
       );
@@ -243,7 +241,6 @@ describe(SearchService.name, () => {
       await sut.searchSmart(authStub.user1, { query: 'test' });
 
       expect(mocks.machineLearning.encodeText).toHaveBeenCalledWith(
-        [expect.any(String)],
         'test',
         expect.objectContaining({ modelName: 'ViT-B-16-SigLIP__webli' }),
       );
@@ -253,7 +250,6 @@ describe(SearchService.name, () => {
       await sut.searchSmart(authStub.user1, { query: 'test', language: 'de' });
 
       expect(mocks.machineLearning.encodeText).toHaveBeenCalledWith(
-        [expect.any(String)],
         'test',
         expect.objectContaining({ language: 'de' }),
       );

server/src/services/search.service.ts

@@ -118,7 +118,7 @@ export class SearchService extends BaseService {
       const key = machineLearning.clip.modelName + dto.query + dto.language;
       embedding = this.embeddingCache.get(key);
       if (!embedding) {
-        embedding = await this.machineLearningRepository.encodeText(machineLearning.urls, dto.query, {
+        embedding = await this.machineLearningRepository.encodeText(dto.query, {
           modelName: machineLearning.clip.modelName,
           language: dto.language,
         });

server/src/services/smart-info.service.spec.ts

@@ -205,7 +205,6 @@ describe(SmartInfoService.name, () => {
       expect(await sut.handleEncodeClip({ id: assetStub.image.id })).toEqual(JobStatus.Success);
 
       expect(mocks.machineLearning.encodeImage).toHaveBeenCalledWith(
-        ['http://immich-machine-learning:3003'],
         '/uploads/user-id/thumbs/path.jpg',
         expect.objectContaining({ modelName: 'ViT-B-32__openai' }),
       );
@@ -242,7 +241,6 @@ describe(SmartInfoService.name, () => {
 
       expect(mocks.database.wait).toHaveBeenCalledWith(512);
       expect(mocks.machineLearning.encodeImage).toHaveBeenCalledWith(
-        ['http://immich-machine-learning:3003'],
         '/uploads/user-id/thumbs/path.jpg',
         expect.objectContaining({ modelName: 'ViT-B-32__openai' }),
       );

server/src/services/smart-info.service.ts

@@ -108,11 +108,7 @@ export class SmartInfoService extends BaseService {
       return JobStatus.Skipped;
     }
 
-    const embedding = await this.machineLearningRepository.encodeImage(
+    const embedding = await this.machineLearningRepository.encodeImage(asset.files[0].path, machineLearning.clip);
-      machineLearning.urls,
-      asset.files[0].path,
-      machineLearning.clip,
-    );
 
     if (this.databaseRepository.isBusy(DatabaseLock.CLIPDimSize)) {
       this.logger.verbose(`Waiting for CLIP dimension size to be updated`);

server/src/services/system-config.service.spec.ts

@@ -82,6 +82,11 @@ const updatedConfig = Object.freeze<SystemConfig>({
   machineLearning: {
     enabled: true,
     urls: ['http://immich-machine-learning:3003'],
+    availabilityChecks: {
+      enabled: true,
+      interval: 30_000,
+      timeout: 2000,
+    },
     clip: {
       enabled: true,
       modelName: 'ViT-B-32__openai',

server/src/services/system-config.service.ts

@@ -16,6 +16,20 @@ export class SystemConfigService extends BaseService {
   async onBootstrap() {
     const config = await this.getConfig({ withCache: false });
     await this.eventRepository.emit('ConfigInit', { newConfig: config });
+
+    if (
+      process.env.IMMICH_MACHINE_LEARNING_PING_TIMEOUT ||
+      process.env.IMMICH_MACHINE_LEARNING_AVAILABILITY_BACKOFF_TIME
+    ) {
+      this.logger.deprecate(
+        'IMMICH_MACHINE_LEARNING_PING_TIMEOUT and MACHINE_LEARNING_AVAILABILITY_BACKOFF_TIME have been moved to system config(`machineLearning.availabilityChecks`) and will be removed in a future release.',
+      );
+    }
+  }
+
+  @OnEvent({ name: 'AppShutdown' })
+  onShutdown() {
+    this.machineLearningRepository.teardown();
   }
 
   async getSystemConfig(): Promise<SystemConfigDto> {
@@ -28,12 +42,14 @@ export class SystemConfigService extends BaseService {
   }
 
   @OnEvent({ name: 'ConfigInit', priority: -100 })
-  onConfigInit({ newConfig: { logging } }: ArgOf<'ConfigInit'>) {
+  onConfigInit({ newConfig: { logging, machineLearning } }: ArgOf<'ConfigInit'>) {
     const { logLevel: envLevel } = this.configRepository.getEnv();
     const configLevel = logging.enabled ? logging.level : false;
     const level = envLevel ?? configLevel;
     this.logger.setLogLevel(level);
     this.logger.log(`LogLevel=${level} ${envLevel ? '(set via IMMICH_LOG_LEVEL)' : '(set via system config)'}`);
+
+    this.machineLearningRepository.setup(machineLearning);
   }
 
   @OnEvent({ name: 'ConfigUpdate', server: true })

server/src/validation.ts

@@ -211,6 +211,18 @@ export const ValidateDate = (options?: DateOptions & ApiPropertyOptions) => {
   return applyDecorators(...decorators);
 };
 
+type StringOptions = { optional?: boolean; nullable?: boolean; trim?: boolean };
+export const ValidateString = (options?: StringOptions & ApiPropertyOptions) => {
+  const { optional, nullable, trim, ...apiPropertyOptions } = options || {};
+  const decorators = [ApiProperty(apiPropertyOptions), IsString(), optional ? Optional({ nullable }) : IsNotEmpty()];
+
+  if (trim) {
+    decorators.push(Transform(({ value }: { value: string }) => value?.trim()));
+  }
+
+  return applyDecorators(...decorators);
+};
+
 type BooleanOptions = { optional?: boolean; nullable?: boolean };
 export const ValidateBoolean = (options?: BooleanOptions & ApiPropertyOptions) => {
   const { optional, nullable, ...apiPropertyOptions } = options || {};

web/eslint.config.js

@@ -127,6 +127,7 @@ export default typescriptEslint.config(
       '@typescript-eslint/no-misused-promises': 'error',
       '@typescript-eslint/require-await': 'error',
       'object-shorthand': ['error', 'always'],
+      'svelte/no-navigation-without-resolve': 'off',
     },
   },
   {

web/package.json

@@ -55,7 +55,7 @@
     "qrcode": "^1.5.4",
     "simple-icons": "^15.15.0",
     "socket.io-client": "~4.8.0",
-    "svelte-gestures": "^5.1.3",
+    "svelte-gestures": "5.1.4",
     "svelte-i18n": "^4.0.1",
     "svelte-maplibre": "^1.2.0",
     "svelte-persisted-store": "^0.12.0",
@@ -70,7 +70,7 @@
     "@sveltejs/adapter-static": "^3.0.8",
     "@sveltejs/enhanced-img": "^0.8.0",
     "@sveltejs/kit": "^2.27.1",
-    "@sveltejs/vite-plugin-svelte": "6.1.2",
+    "@sveltejs/vite-plugin-svelte": "6.2.0",
     "@tailwindcss/vite": "^4.1.7",
     "@testing-library/jest-dom": "^6.4.2",
     "@testing-library/svelte": "^5.2.8",
@@ -85,7 +85,7 @@
     "dotenv": "^17.0.0",
     "eslint": "^9.18.0",
     "eslint-config-prettier": "^10.1.8",
-    "eslint-p": "^0.25.0",
+    "eslint-p": "^0.26.0",
     "eslint-plugin-compat": "^6.0.2",
     "eslint-plugin-svelte": "^3.9.0",
     "eslint-plugin-unicorn": "^60.0.0",
@@ -97,7 +97,7 @@
     "prettier-plugin-sort-json": "^4.1.1",
     "prettier-plugin-svelte": "^3.3.3",
     "rollup-plugin-visualizer": "^6.0.0",
-    "svelte": "5.35.5",
+    "svelte": "5.38.10",
     "svelte-check": "^4.1.5",
     "svelte-eslint-parser": "^1.2.0",
     "tailwindcss": "^4.1.7",

web/src/lib/components/admin-settings/MachineLearningSettings.svelte

@@ -9,7 +9,7 @@
   import { featureFlags } from '$lib/stores/server-config.store';
   import type { SystemConfigDto } from '@immich/sdk';
   import { Button, IconButton } from '@immich/ui';
-  import { mdiMinusCircle } from '@mdi/js';
+  import { mdiPlus, mdiTrashCanOutline } from '@mdi/js';
   import { isEqual } from 'lodash-es';
   import { t } from 'svelte-i18n';
   import { fade } from 'svelte/transition';
@@ -46,19 +46,6 @@
 
         <div>
           {#each config.machineLearning.urls as _, i (i)}
-            {#snippet removeButton()}
-              {#if config.machineLearning.urls.length > 1}
-                <IconButton
-                  size="large"
-                  shape="round"
-                  color="danger"
-                  aria-label=""
-                  onclick={() => config.machineLearning.urls.splice(i, 1)}
-                  icon={mdiMinusCircle}
-                />
-              {/if}
-            {/snippet}
-
             <SettingInputField
               inputType={SettingInputFieldType.TEXT}
               label={i === 0 ? $t('url') : undefined}
@@ -67,20 +54,69 @@
               required={i === 0}
               disabled={disabled || !config.machineLearning.enabled}
               isEdited={i === 0 && !isEqual(config.machineLearning.urls, savedConfig.machineLearning.urls)}
-              trailingSnippet={removeButton}
+            >
-            />
+              {#snippet trailingSnippet()}
+                {#if config.machineLearning.urls.length > 1}
+                  <IconButton
+                    aria-label=""
+                    onclick={() => config.machineLearning.urls.splice(i, 1)}
+                    icon={mdiTrashCanOutline}
+                    color="danger"
+                  />
+                {/if}
+              {/snippet}
+            </SettingInputField>
           {/each}
         </div>
 
-        <Button
+        <div class="flex justify-end">
-          class="mb-2"
+          <Button
-          size="small"
+            class="mb-2"
-          shape="round"
+            size="small"
-          onclick={() => config.machineLearning.urls.splice(0, 0, '')}
+            shape="round"
-          disabled={disabled || !config.machineLearning.enabled}>{$t('add_url')}</Button
+            leadingIcon={mdiPlus}
-        >
+            onclick={() => config.machineLearning.urls.push('')}
+            disabled={disabled || !config.machineLearning.enabled}>{$t('add_url')}</Button
+          >
+        </div>
       </div>
 
+      <SettingAccordion
+        key="availability-checks"
+        title={$t('admin.machine_learning_availability_checks')}
+        subtitle={$t('admin.machine_learning_availability_checks_description')}
+      >
+        <div class="ms-4 mt-4 flex flex-col gap-4">
+          <SettingSwitch
+            title={$t('admin.machine_learning_availability_checks_enabled')}
+            bind:checked={config.machineLearning.availabilityChecks.enabled}
+            disabled={disabled || !config.machineLearning.enabled}
+          />
+
+          <hr />
+
+          <SettingInputField
+            inputType={SettingInputFieldType.NUMBER}
+            label={$t('admin.machine_learning_availability_checks_interval')}
+            bind:value={config.machineLearning.availabilityChecks.interval}
+            description={$t('admin.machine_learning_availability_checks_interval_description')}
+            disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.availabilityChecks.enabled}
+            isEdited={config.machineLearning.availabilityChecks.interval !==
+              savedConfig.machineLearning.availabilityChecks.interval}
+          />
+
+          <SettingInputField
+            inputType={SettingInputFieldType.NUMBER}
+            label={$t('admin.machine_learning_availability_checks_timeout')}
+            bind:value={config.machineLearning.availabilityChecks.timeout}
+            description={$t('admin.machine_learning_availability_checks_timeout_description')}
+            disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.availabilityChecks.enabled}
+            isEdited={config.machineLearning.availabilityChecks.timeout !==
+              savedConfig.machineLearning.availabilityChecks.timeout}
+          />
+        </div>
+      </SettingAccordion>
+
       <SettingAccordion
         key="smart-search"
         title={$t('admin.machine_learning_smart_search')}

web/src/lib/components/admin-settings/StorageTemplateSettings.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+  import { resolve } from '$app/paths';
   import SupportedDatetimePanel from '$lib/components/admin-settings/SupportedDatetimePanel.svelte';
   import SupportedVariablesPanel from '$lib/components/admin-settings/SupportedVariablesPanel.svelte';
   import SettingButtonsRow from '$lib/components/shared-components/settings/setting-buttons-row.svelte';
@@ -262,7 +263,7 @@
                       values={{ job: $t('admin.storage_template_migration_job') }}
                     >
                       {#snippet children({ message })}
-                        <a href={AppRoute.ADMIN_JOBS} class="text-primary">
+                        <a href={resolve(AppRoute.ADMIN_JOBS)} class="text-primary">
                           {message}
                         </a>
                       {/snippet}

web/src/lib/components/album-page/album-card-group.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+  import { resolve } from '$app/paths';
   import AlbumCard from '$lib/components/album-page/album-card.svelte';
   import { AppRoute } from '$lib/constants';
   import { albumViewSettings } from '$lib/stores/preferences.store';
@@ -65,7 +66,7 @@
       {#each albums as album, index (album.id)}
         <a
           data-sveltekit-preload-data="hover"
-          href="{AppRoute.ALBUMS}/{album.id}"
+          href={resolve(`${AppRoute.ALBUMS}/${album.id}`)}
           animate:flip={{ duration: 400 }}
           oncontextmenu={(event) => oncontextmenu(event, album)}
         >

web/src/lib/components/album-page/albums-list.svelte

@@ -1,5 +1,6 @@
 <script lang="ts">
   import { goto } from '$app/navigation';
+  import { resolve } from '$app/paths';
   import AlbumCardGroup from '$lib/components/album-page/album-card-group.svelte';
   import AlbumsTable from '$lib/components/album-page/albums-table.svelte';
   import MenuOption from '$lib/components/shared-components/context-menu/menu-option.svelte';
@@ -315,7 +316,7 @@
       button: {
         text: $t('view_album'),
         onClick() {
-          return goto(`${AppRoute.ALBUMS}/${album.id}`);
+          return goto(resolve(`${AppRoute.ALBUMS}/${album.id}`));
         },
       },
     });

web/src/lib/components/album-page/albums-table-row.svelte

@@ -1,5 +1,6 @@
 <script lang="ts">
   import { goto } from '$app/navigation';
+  import { resolve } from '$app/paths';
   import { AppRoute, dateFormats } from '$lib/constants';
   import { locale } from '$lib/stores/preferences.store';
   import { user } from '$lib/stores/user.store';
@@ -32,7 +33,7 @@
 
 <tr
   class="flex h-[50px] w-full place-items-center border-[3px] border-transparent p-2 text-center even:bg-subtle/20 odd:bg-subtle/80 hover:cursor-pointer hover:border-immich-primary/75 odd:dark:bg-immich-dark-gray/75 even:dark:bg-immich-dark-gray/50 dark:hover:border-immich-dark-primary/75 md:p-5"
-  onclick={() => goto(`${AppRoute.ALBUMS}/${album.id}`)}
+  onclick={() => goto(resolve(`${AppRoute.ALBUMS}/${album.id}`))}
   {oncontextmenu}
 >
   <td class="text-md text-ellipsis text-start w-8/12 sm:w-4/12 md:w-4/12 xl:w-[30%] 2xl:w-[40%] items-center">

web/src/lib/components/asset-viewer/activity-viewer.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+  import { resolve } from '$app/paths';
   import { autoGrowHeight } from '$lib/actions/autogrow';
   import { shortcut } from '$lib/actions/shortcut';
   import ButtonContextMenu from '$lib/components/shared-components/context-menu/button-context-menu.svelte';
@@ -146,7 +147,10 @@
 
               <div class="w-full leading-4 overflow-hidden self-center break-words text-sm">{reaction.comment}</div>
               {#if assetId === undefined && reaction.assetId}
-                <a class="aspect-square w-[75px] h-[75px]" href="{AppRoute.ALBUMS}/{albumId}/photos/{reaction.assetId}">
+                <a
+                  class="aspect-square w-[75px] h-[75px]"
+                  href={resolve(`${AppRoute.ALBUMS}/${albumId}/photos/${reaction.assetId}`)}
+                >
                   <img
                     class="rounded-lg w-[75px] h-[75px] object-cover"
                     src={getAssetThumbnailUrl(reaction.assetId)}
@@ -198,7 +202,7 @@
                 {#if assetId === undefined && reaction.assetId}
                   <a
                     class="aspect-square w-[75px] h-[75px]"
-                    href="{AppRoute.ALBUMS}/{albumId}/photos/{reaction.assetId}"
+                    href={resolve(`${AppRoute.ALBUMS}/${albumId}/photos/${reaction.assetId}`)}
                   >
                     <img
                       class="rounded-lg w-[75px] h-[75px] object-cover"

web/src/lib/components/asset-viewer/asset-viewer-nav-bar.svelte

@@ -1,5 +1,6 @@
 <script lang="ts">
   import { goto } from '$app/navigation';
+  import { resolve } from '$app/paths';
   import CastButton from '$lib/cast/cast-button.svelte';
   import type { OnAction, PreAction } from '$lib/components/asset-viewer/actions/action';
   import AddToAlbumAction from '$lib/components/asset-viewer/actions/add-to-album-action.svelte';
@@ -224,14 +225,15 @@
             {#if !asset.isArchived && !asset.isTrashed}
               <MenuOption
                 icon={mdiImageSearch}
-                onClick={() => goto(`${AppRoute.PHOTOS}?at=${stack?.primaryAssetId ?? asset.id}`)}
+                onClick={() => goto(resolve(`${AppRoute.PHOTOS}?at=${stack?.primaryAssetId ?? asset.id}`))}
                 text={$t('view_in_timeline')}
               />
             {/if}
             {#if !asset.isArchived && !asset.isTrashed && smartSearchEnabled}
               <MenuOption
                 icon={mdiCompare}
-                onClick={() => goto(`${AppRoute.SEARCH}?query={"queryAssetId":"${stack?.primaryAssetId ?? asset.id}"}`)}
+                onClick={() =>
+                  goto(resolve(`${AppRoute.SEARCH}?query={"queryAssetId":"${stack?.primaryAssetId ?? asset.id}"}`))}
                 text={$t('view_similar_photos')}
               />
             {/if}

web/src/lib/components/asset-viewer/detail-panel-tags.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+  import { resolve } from '$app/paths';
   import { shortcut } from '$lib/actions/shortcut';
   import { AppRoute } from '$lib/constants';
   import { authManager } from '$lib/managers/auth-manager.svelte';
@@ -45,7 +46,7 @@
         <div class="flex group transition-all">
           <a
             class="inline-block h-min whitespace-nowrap ps-3 pe-1 group-hover:ps-3 py-1 text-center align-baseline leading-none text-gray-100 dark:text-immich-dark-gray bg-primary rounded-s-full hover:bg-immich-primary/80 dark:hover:bg-immich-dark-primary/80 transition-all"
-            href={encodeURI(`${AppRoute.TAGS}/?path=${tag.value}`)}
+            href={resolve(`${AppRoute.TAGS}/?path=${encodeURI(tag.value)}`)}
           >
             <p class="text-sm">
               {tag.value}

web/src/lib/components/asset-viewer/detail-panel.svelte

@@ -1,5 +1,6 @@
 <script lang="ts">
   import { goto } from '$app/navigation';
+  import { resolve } from '$app/paths';
   import DetailPanelDescription from '$lib/components/asset-viewer/detail-panel-description.svelte';
   import DetailPanelLocation from '$lib/components/asset-viewer/detail-panel-location.svelte';
   import DetailPanelRating from '$lib/components/asset-viewer/detail-panel-star-rating.svelte';
@@ -208,9 +209,11 @@
           {#if showingHiddenPeople || !person.isHidden}
             <a
               class="w-[90px]"
-              href="{AppRoute.PEOPLE}/{person.id}?{QueryParameter.PREVIOUS_ROUTE}={currentAlbum?.id
+              href={resolve(
-                ? `${AppRoute.ALBUMS}/${currentAlbum?.id}`
+                `${AppRoute.PEOPLE}/${person.id}?${QueryParameter.PREVIOUS_ROUTE}=${
-                : AppRoute.PHOTOS}"
+                  currentAlbum?.id ? `${AppRoute.ALBUMS}/${currentAlbum?.id}` : AppRoute.PHOTOS
+                }`,
+              )}
               onfocus={() => ($boundingBoxesArray = people[index].faces)}
               onblur={() => ($boundingBoxesArray = [])}
               onmouseover={() => ($boundingBoxesArray = people[index].faces)}
@@ -362,6 +365,7 @@
         </p>
         {#if showAssetPath}
           <p class="text-xs opacity-50 break-all pb-2 hover:text-primary" transition:slide={{ duration: 250 }}>
+            <!-- eslint-disable-next-line svelte/no-navigation-without-resolve this is supposed to be treated as an absolute/external link -->
             <a href={getAssetFolderHref(asset)} title={$t('go_to_folder')} class="whitespace-pre-wrap">
               {asset.originalPath}
             </a>
@@ -394,10 +398,12 @@
           {#if asset.exifInfo?.make || asset.exifInfo?.model}
             <p>
               <a
-                href="{AppRoute.SEARCH}?{getMetadataSearchQuery({
+                href={resolve(
-                  ...(asset.exifInfo?.make ? { make: asset.exifInfo.make } : {}),
+                  `${AppRoute.SEARCH}?${getMetadataSearchQuery({
-                  ...(asset.exifInfo?.model ? { model: asset.exifInfo.model } : {}),
+                    ...(asset.exifInfo?.make ? { make: asset.exifInfo.make } : {}),
-                })}"
+                    ...(asset.exifInfo?.model ? { model: asset.exifInfo.model } : {}),
+                  })}`,
+                )}
                 title="{$t('search_for')} {asset.exifInfo.make || ''} {asset.exifInfo.model || ''}"
                 class="hover:text-primary"
               >
@@ -411,7 +417,9 @@
             <div class="flex gap-2 text-sm">
               <p>
                 <a
-                  href="{AppRoute.SEARCH}?{getMetadataSearchQuery({ lensModel: asset.exifInfo.lensModel })}"
+                  href={resolve(
+                    `${AppRoute.SEARCH}?${getMetadataSearchQuery({ lensModel: asset.exifInfo.lensModel })}`,
+                  )}
                   title="{$t('search_for')} {asset.exifInfo.lensModel}"
                   class="hover:text-primary line-clamp-1"
                 >
@@ -475,7 +483,7 @@
         simplified
         useLocationPin
         showSimpleControls={!showEditFaces}
-        onOpenInMapView={() => goto(`${AppRoute.MAP}#12.5/${latlng.lat}/${latlng.lng}`)}
+        onOpenInMapView={() => goto(resolve(`${AppRoute.MAP}#12.5/${latlng.lat}/${latlng.lng}`))}
       >
         {#snippet popup({ marker })}
           {@const { lat, lon } = marker}
@@ -516,7 +524,7 @@
   <section class="px-6 pt-6 dark:text-immich-dark-fg">
     <p class="uppercase pb-4 text-sm">{$t('appears_in')}</p>
     {#each albums as album (album.id)}
-      <a href="{AppRoute.ALBUMS}/{album.id}">
+      <a href={resolve(`${AppRoute.ALBUMS}/${album.id}`)}>
         <div class="flex gap-4 pt-2 hover:cursor-pointer items-center">
           <div>
             <img

web/src/lib/components/asset-viewer/photo-viewer.svelte

@@ -97,12 +97,15 @@
     }
 
     try {
-      await copyImageToClipboard($photoViewerImgElement ?? assetFileUrl);
+      const result = await copyImageToClipboard($photoViewerImgElement ?? assetFileUrl);
-      notificationController.show({
+      if (result.success) {
-        type: NotificationType.Info,
+        notificationController.show({ type: NotificationType.Info, message: $t('copied_image_to_clipboard') });
-        message: $t('copied_image_to_clipboard'),
+      } else {
-        timeout: 3000,
+        notificationController.show({
-      });
+          type: NotificationType.Error,
+          message: $t('errors.clipboard_unsupported_mime_type', { values: { mimeType: result.mimeType } }),
+        });
+      }
     } catch (error) {
       handleError(error, $t('copy_error'));
     }

web/src/lib/components/shared-components/search-bar/search-date-section.svelte

@@ -7,6 +7,7 @@
 
 <script lang="ts">
   import DateInput from '$lib/elements/DateInput.svelte';
+  import { Text } from '@immich/ui';
   import { t } from 'svelte-i18n';
 
   interface Props {
@@ -14,31 +15,27 @@
   }
 
   let { filters = $bindable() }: Props = $props();
+
+  let invalid = $derived(filters.takenAfter && filters.takenBefore && filters.takenAfter > filters.takenBefore);
+
+  const inputClasses = $derived(
+    `immich-form-input w-full mt-1 hover:cursor-pointer ${invalid ? 'border border-danger' : ''}`,
+  );
 </script>
 
-<div id="date-range-selection" class="grid grid-auto-fit-40 gap-5">
+<div class="flex flex-col gap-1">
-  <label class="immich-form-label" for="start-date">
+  <div id="date-range-selection" class="grid grid-auto-fit-40 gap-5">
-    <span class="uppercase">{$t('start_date')}</span>
+    <label class="immich-form-label" for="start-date">
-    <DateInput
+      <span class="uppercase">{$t('start_date')}</span>
-      class="immich-form-input w-full mt-1 hover:cursor-pointer"
+      <DateInput class={inputClasses} type="date" id="start-date" name="start-date" bind:value={filters.takenAfter} />
-      type="date"
+    </label>
-      id="start-date"
-      name="start-date"
-      max={filters.takenBefore}
-      bind:value={filters.takenAfter}
-    />
-  </label>
 
-  <label class="immich-form-label" for="end-date">
+    <label class="immich-form-label" for="end-date">
-    <span class="uppercase">{$t('end_date')}</span>
+      <span class="uppercase">{$t('end_date')}</span>
-    <DateInput
+      <DateInput class={inputClasses} type="date" id="end-date" name="end-date" bind:value={filters.takenBefore} />
-      class="immich-form-input w-full mt-1 hover:cursor-pointer"
+    </label>
-      type="date"
+  </div>
-      id="end-date"
+  {#if invalid}
-      name="end-date"
+    <Text color="danger">{$t('start_date_before_end_date')}</Text>
-      placeholder=""
+  {/if}
-      min={filters.takenAfter}
-      bind:value={filters.takenBefore}
-    />
-  </label>
 </div>

web/src/lib/components/shared-components/settings/setting-input-field.svelte

@@ -105,7 +105,7 @@
   {/if}
 
   {#if inputType !== SettingInputFieldType.PASSWORD}
-    <div class="flex place-items-center place-content-center">
+    <div class="flex place-items-center place-content-center gap-2">
       {#if inputType === SettingInputFieldType.COLOR}
         <input
           bind:this={input}

web/src/lib/components/shared-components/side-bar/recent-albums.spec.ts

@@ -17,6 +17,9 @@ describe('RecentAlbums component', () => {
     render(RecentAlbums);
 
     expect(sdkMock.getAllAlbums).toBeCalledTimes(1);
+
+    // wtf
+    await tick();
     await tick();
 
     const links = screen.getAllByRole('link');

web/src/lib/utils/asset-utils.ts

@@ -625,7 +625,21 @@ const urlToBlob = async (imageSource: string) => {
   return await response.blob();
 };
 
-export const copyImageToClipboard = async (source: HTMLImageElement | string) => {
+export const copyImageToClipboard = async (
-  const blob = source instanceof HTMLImageElement ? await imgToBlob(source) : await urlToBlob(source);
+  source: HTMLImageElement | string,
+): Promise<{ success: true } | { success: false; mimeType: string }> => {
+  if (source instanceof HTMLImageElement) {
+    // do not await, so the Safari clipboard write happens in the context of the user gesture
+    await navigator.clipboard.write([new ClipboardItem({ ['image/png']: imgToBlob(source) })]);
+    return { success: true };
+  }
+
+  // if we had a way to get the mime type synchronously, we could do the same thing here
+  const blob = await urlToBlob(source);
+  if (!ClipboardItem.supports(blob.type)) {
+    return { success: false, mimeType: blob.type };
+  }
+
   await navigator.clipboard.write([new ClipboardItem({ [blob.type]: blob })]);
+  return { success: true };
 };