AmirReza Jamali
50e4f43738
Implement company AI onboarding/recommendation models, services, repository, and tender UI integration with supporting tests. Co-authored-by: Cursor <cursoragent@cursor.com>
25 lines
858 B
Dart
25 lines
858 B
Dart
// ignore_for_file: invalid_annotation_target
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import 'package:freezed_annotation/freezed_annotation.dart';
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part 'recommendation_item.freezed.dart';
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part 'recommendation_item.g.dart';
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/// A single AI tender recommendation returned by `POST /api/v1/recommend`.
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///
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/// [tenderId] is the backend tender id used with
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/// `GET /api/v1/tenders/details/:id`. [rank] is a display order string where
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/// `1` is the best match. All fields are nullable to stay resilient to partial
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/// API payloads.
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@freezed
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abstract class RecommendationItem with _$RecommendationItem {
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const factory RecommendationItem({
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required String? rank,
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@JsonKey(name: 'tender_id') required String? tenderId,
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required String? analysis,
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}) = _RecommendationItem;
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factory RecommendationItem.fromJson(Map<String, dynamic> json) =>
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_$RecommendationItemFromJson(json);
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}
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