feat(ml)!: customizable ML settings (#3891)

* consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2025-07-13 20:38:46 +02:00 · 2023-08-29 09:58:00 -04:00 · 2023-08-29 09:58:00 -04:00 · bcc36d14a1
commit bcc36d14a1
parent 22f5e05060
56 changed files with 2324 additions and 655 deletions
--- a/mobile/openapi/lib/model/recognition_config.dart
+++ b/mobile/openapi/lib/model/recognition_config.dart
@ -0,0 +1,139 @@
+//
+// 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 RecognitionConfig {
+  /// Returns a new [RecognitionConfig] instance.
+  RecognitionConfig({
+    required this.enabled,
+    required this.maxDistance,
+    required this.minScore,
+    required this.modelName,
+    this.modelType,
+  });
+
+  bool enabled;
+
+  int maxDistance;
+
+  int minScore;
+
+  String modelName;
+
+  ///
+  /// 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.
+  ///
+  ModelType? modelType;
+
+  @override
+  bool operator ==(Object other) => identical(this, other) || other is RecognitionConfig &&
+     other.enabled == enabled &&
+     other.maxDistance == maxDistance &&
+     other.minScore == minScore &&
+     other.modelName == modelName &&
+     other.modelType == modelType;
+
+  @override
+  int get hashCode =>
+    // ignore: unnecessary_parenthesis
+    (enabled.hashCode) +
+    (maxDistance.hashCode) +
+    (minScore.hashCode) +
+    (modelName.hashCode) +
+    (modelType == null ? 0 : modelType!.hashCode);
+
+  @override
+  String toString() => 'RecognitionConfig[enabled=$enabled, maxDistance=$maxDistance, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
+
+  Map<String, dynamic> toJson() {
+    final json = <String, dynamic>{};
+      json[r'enabled'] = this.enabled;
+      json[r'maxDistance'] = this.maxDistance;
+      json[r'minScore'] = this.minScore;
+      json[r'modelName'] = this.modelName;
+    if (this.modelType != null) {
+      json[r'modelType'] = this.modelType;
+    } else {
+    //  json[r'modelType'] = null;
+    }
+    return json;
+  }
+
+  /// Returns a new [RecognitionConfig] instance and imports its values from
+  /// [value] if it's a [Map], null otherwise.
+  // ignore: prefer_constructors_over_static_methods
+  static RecognitionConfig? fromJson(dynamic value) {
+    if (value is Map) {
+      final json = value.cast<String, dynamic>();
+
+      return RecognitionConfig(
+        enabled: mapValueOfType<bool>(json, r'enabled')!,
+        maxDistance: mapValueOfType<int>(json, r'maxDistance')!,
+        minScore: mapValueOfType<int>(json, r'minScore')!,
+        modelName: mapValueOfType<String>(json, r'modelName')!,
+        modelType: ModelType.fromJson(json[r'modelType']),
+      );
+    }
+    return null;
+  }
+
+  static List<RecognitionConfig> listFromJson(dynamic json, {bool growable = false,}) {
+    final result = <RecognitionConfig>[];
+    if (json is List && json.isNotEmpty) {
+      for (final row in json) {
+        final value = RecognitionConfig.fromJson(row);
+        if (value != null) {
+          result.add(value);
+        }
+      }
+    }
+    return result.toList(growable: growable);
+  }
+
+  static Map<String, RecognitionConfig> mapFromJson(dynamic json) {
+    final map = <String, RecognitionConfig>{};
+    if (json is Map && json.isNotEmpty) {
+      json = json.cast<String, dynamic>(); // ignore: parameter_assignments
+      for (final entry in json.entries) {
+        final value = RecognitionConfig.fromJson(entry.value);
+        if (value != null) {
+          map[entry.key] = value;
+        }
+      }
+    }
+    return map;
+  }
+
+  // maps a json object with a list of RecognitionConfig-objects as value to a dart map
+  static Map<String, List<RecognitionConfig>> mapListFromJson(dynamic json, {bool growable = false,}) {
+    final map = <String, List<RecognitionConfig>>{};
+    if (json is Map && json.isNotEmpty) {
+      // ignore: parameter_assignments
+      json = json.cast<String, dynamic>();
+      for (final entry in json.entries) {
+        map[entry.key] = RecognitionConfig.listFromJson(entry.value, growable: growable,);
+      }
+    }
+    return map;
+  }
+
+  /// The list of required keys that must be present in a JSON.
+  static const requiredKeys = <String>{
+    'enabled',
+    'maxDistance',
+    'minScore',
+    'modelName',
+  };
+}
+