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* feat: add OCR functionality and related configurations * chore: update labeler configuration for machine learning files * feat(i18n): enhance OCR model descriptions and add orientation classification and unwarping features * chore: update Dockerfile to include ccache for improved build performance * feat(ocr): enhance OCR model configuration with orientation classification and unwarping options, update PaddleOCR integration, and improve response structure * refactor(ocr): remove OCR_CLEANUP job from enum and type definitions * refactor(ocr): remove obsolete OCR entity and migration files, and update asset job status and schema to accommodate new OCR table structure * refactor(ocr): update OCR schema and response structure to use individual coordinates instead of bounding box, and adjust related service and repository files * feat: enhance OCR configuration and functionality - Updated OCR settings to include minimum detection box score, minimum detection score, and minimum recognition score. - Refactored PaddleOCRecognizer to utilize new scoring parameters. - Introduced new database tables for asset OCR data and search functionality. - Modified related services and repositories to support the new OCR features. - Updated translations for improved clarity in settings UI. * sql changes * use rapidocr * change dto * update web * update lock * update api * store positions as normalized floats * match column order in db * update admin ui settings descriptions fix max resolution key set min threshold to 0.1 fix bind * apply config correctly, adjust defaults * unnecessary model type * unnecessary sources * fix(ocr): switch RapidOCR lang type from LangDet to LangRec * fix(ocr): expose lang_type (LangRec.CH) and font_path on OcrOptions for RapidOCR * fix(ocr): make OCR text search case- and accent-insensitive using ILIKE + unaccent * fix(ocr): add OCR search fields * fix: Add OCR database migration and update ML prediction logic. * trigrams are already case insensitive * add tests * format * update migrations * wrong uuid function * linting * maybe fix medium tests * formatting * fix weblate check * openapi * sql * minor fixes * maybe fix medium tests part 2 * passing medium tests * format web * readd sql * format dart * disabled in e2e * chore: translation ordering --------- Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
137 lines
4.0 KiB
Dart
Generated
137 lines
4.0 KiB
Dart
Generated
//
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// AUTO-GENERATED FILE, DO NOT MODIFY!
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//
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// @dart=2.18
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// ignore_for_file: unused_element, unused_import
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// ignore_for_file: always_put_required_named_parameters_first
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// ignore_for_file: constant_identifier_names
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// ignore_for_file: lines_longer_than_80_chars
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part of openapi.api;
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class OcrConfig {
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/// Returns a new [OcrConfig] instance.
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OcrConfig({
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required this.enabled,
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required this.maxResolution,
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required this.minDetectionScore,
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required this.minRecognitionScore,
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required this.modelName,
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});
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bool enabled;
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/// Minimum value: 1
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int maxResolution;
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/// Minimum value: 0.1
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/// Maximum value: 1
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double minDetectionScore;
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/// Minimum value: 0.1
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/// Maximum value: 1
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double minRecognitionScore;
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String modelName;
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@override
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bool operator ==(Object other) => identical(this, other) || other is OcrConfig &&
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other.enabled == enabled &&
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other.maxResolution == maxResolution &&
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other.minDetectionScore == minDetectionScore &&
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other.minRecognitionScore == minRecognitionScore &&
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other.modelName == modelName;
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@override
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int get hashCode =>
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// ignore: unnecessary_parenthesis
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(enabled.hashCode) +
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(maxResolution.hashCode) +
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(minDetectionScore.hashCode) +
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(minRecognitionScore.hashCode) +
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(modelName.hashCode);
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@override
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String toString() => 'OcrConfig[enabled=$enabled, maxResolution=$maxResolution, minDetectionScore=$minDetectionScore, minRecognitionScore=$minRecognitionScore, modelName=$modelName]';
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Map<String, dynamic> toJson() {
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final json = <String, dynamic>{};
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json[r'enabled'] = this.enabled;
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json[r'maxResolution'] = this.maxResolution;
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json[r'minDetectionScore'] = this.minDetectionScore;
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json[r'minRecognitionScore'] = this.minRecognitionScore;
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json[r'modelName'] = this.modelName;
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return json;
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}
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/// Returns a new [OcrConfig] instance and imports its values from
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/// [value] if it's a [Map], null otherwise.
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// ignore: prefer_constructors_over_static_methods
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static OcrConfig? fromJson(dynamic value) {
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upgradeDto(value, "OcrConfig");
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if (value is Map) {
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final json = value.cast<String, dynamic>();
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return OcrConfig(
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enabled: mapValueOfType<bool>(json, r'enabled')!,
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maxResolution: mapValueOfType<int>(json, r'maxResolution')!,
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minDetectionScore: (mapValueOfType<num>(json, r'minDetectionScore')!).toDouble(),
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minRecognitionScore: (mapValueOfType<num>(json, r'minRecognitionScore')!).toDouble(),
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modelName: mapValueOfType<String>(json, r'modelName')!,
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);
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}
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return null;
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}
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static List<OcrConfig> listFromJson(dynamic json, {bool growable = false,}) {
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final result = <OcrConfig>[];
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if (json is List && json.isNotEmpty) {
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for (final row in json) {
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final value = OcrConfig.fromJson(row);
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if (value != null) {
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result.add(value);
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}
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}
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}
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return result.toList(growable: growable);
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}
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static Map<String, OcrConfig> mapFromJson(dynamic json) {
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final map = <String, OcrConfig>{};
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if (json is Map && json.isNotEmpty) {
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json = json.cast<String, dynamic>(); // ignore: parameter_assignments
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for (final entry in json.entries) {
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final value = OcrConfig.fromJson(entry.value);
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if (value != null) {
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map[entry.key] = value;
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}
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}
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}
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return map;
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}
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// maps a json object with a list of OcrConfig-objects as value to a dart map
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static Map<String, List<OcrConfig>> mapListFromJson(dynamic json, {bool growable = false,}) {
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final map = <String, List<OcrConfig>>{};
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if (json is Map && json.isNotEmpty) {
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// ignore: parameter_assignments
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json = json.cast<String, dynamic>();
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for (final entry in json.entries) {
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map[entry.key] = OcrConfig.listFromJson(entry.value, growable: growable,);
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}
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}
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return map;
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}
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/// The list of required keys that must be present in a JSON.
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static const requiredKeys = <String>{
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'enabled',
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'maxResolution',
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'minDetectionScore',
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'minRecognitionScore',
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'modelName',
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};
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}
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