tm_app/lib/view_models/ai_recommendations_view_model.dart

import 'package:flutter/foundation.dart';
import 'package:tm_app/core/network/app_exceptions.dart';
import 'package:tm_app/core/utils/result.dart';
import 'package:tm_app/data/repositories/company_ai_repository.dart';
import 'package:tm_app/data/repositories/home_repository.dart';
import 'package:tm_app/data/services/model/recommend_response/recommend_response.dart';
import 'package:tm_app/data/services/model/recommendation_item/recommendation_item.dart';
import 'package:tm_app/data/services/model/recommended_tenders_response/recommended_tenders_response.dart';
import 'package:tm_app/data/services/model/tender_data/tender_data.dart';

/// Drives the "Recommended" (AI) tab in the tenders section.
///
/// Calls `POST /api/v1/recommend`. When the AI service is unavailable (503) it
/// falls back to the legacy CPV/keyword list (`GET /api/v1/tenders/recommend`),
/// and when the AI returns no results shortly after onboarding it surfaces a
/// "still learning" hint instead of an empty error.
class AiRecommendationsViewModel with ChangeNotifier {
  AiRecommendationsViewModel({
    required CompanyAiRepository companyAiRepository,
    required HomeRepository homeRepository,
  }) : _companyAiRepository = companyAiRepository,
       _homeRepository = homeRepository;

  final CompanyAiRepository _companyAiRepository;
  final HomeRepository _homeRepository;

  /// How long after onboarding an empty result is treated as "still learning".
  static const Duration _stillLearningWindow = Duration(minutes: 30);
  static const int _fallbackPageSize = 20;

  bool _isLoading = false;
  String? _errorMessage;
  List<RecommendationItem> _items = const [];
  List<TenderData> _fallbackTenders = const [];
  bool _usingFallback = false;
  bool _stillLearning = false;
  bool _hasLoaded = false;

  bool get isLoading => _isLoading;
  String? get errorMessage => _errorMessage;
  List<RecommendationItem> get items => _items;
  List<TenderData> get fallbackTenders => _fallbackTenders;
  bool get usingFallback => _usingFallback;
  bool get stillLearning => _stillLearning;

  /// True once a load has completed (used to distinguish "no results" from
  /// "not loaded yet").
  bool get hasLoaded => _hasLoaded;

  /// True when there is nothing to show and we're not loading or erroring.
  bool get isEmpty =>
      !_isLoading &&
      _errorMessage == null &&
      _items.isEmpty &&
      _fallbackTenders.isEmpty;

  /// Loads recommendations if they haven't been loaded yet this session.
  Future<void> loadIfNeeded() async {
    if (_hasLoaded || _isLoading) {
      return;
    }
    await loadRecommendations();
  }

  /// Loads AI recommendations, applying the 503 fallback and empty-state logic.
  Future<void> loadRecommendations() async {
    _isLoading = true;
    _errorMessage = null;
    _usingFallback = false;
    _stillLearning = false;
    notifyListeners();

    final result = await _companyAiRepository.getRecommendations();

    switch (result) {
      case Ok<RecommendResponse>():
        _items = result.value.data ?? const [];
        _fallbackTenders = const [];
        if (_items.isEmpty) {
          _stillLearning = _onboardingWasRecent();
        }
      case Error<RecommendResponse>():
        await _handleError(result.error);
    }

    _isLoading = false;
    _hasLoaded = true;
    notifyListeners();
  }

  /// Pull-to-refresh: always re-fetches.
  Future<void> refresh() => loadRecommendations();

  Future<void> _handleError(Exception error) async {
    // 503 means the AI service isn't configured/available — fall back to the
    // legacy recommend list rather than showing an error.
    if (error is AppException && error.statusCode == 503) {
      await _loadFallback();
      return;
    }
    _items = const [];
    _fallbackTenders = const [];
    _errorMessage = error.toString();
  }

  Future<void> _loadFallback() async {
    final result = await _homeRepository.getHomeRecommendedTenders(
      limit: _fallbackPageSize,
      offset: 0,
    );

    switch (result) {
      case Ok<RecommendedTendersResponse>():
        _items = const [];
        _fallbackTenders =
            result.value.data?.tenders.whereType<TenderData>().toList() ??
            const [];
        _usingFallback = true;
      case Error<RecommendedTendersResponse>():
        _errorMessage = result.error.toString();
    }
  }

  bool _onboardingWasRecent() {
    final startedAt = _companyAiRepository.lastOnboardingStartedAt();
    if (startedAt == null) {
      return false;
    }
    final elapsed = DateTime.now().millisecondsSinceEpoch - startedAt;
    return elapsed >= 0 && elapsed <= _stillLearningWindow.inMilliseconds;
  }
}