- Implement EmergencyService for handling emergency contacts per trip. - Create GuestFlagService to manage guest mode flags for trips. - Introduce NotificationService with local notification capabilities. - Add OfflineFlagService for managing offline caching flags. - Develop PackingService for shared packing lists per trip. - Implement ReminderService for managing reminders/to-dos per trip. - Create SosService for dispatching SOS events to a backend. - Add StorageService with album image upload functionality. - Implement TransportService for managing transport segments per trip. - Create TripChecklistService for storing and retrieving trip checklists. - Add TripDocumentService for persisting trip documents metadata. test: Add unit tests for new services - Implement tests for AlbumService, BudgetService, EmergencyService, GuestFlagService, PackingService, ReminderService, SosService, TransportService, TripChecklistService, and TripDocumentService. - Ensure tests cover adding, loading, deleting, and handling corrupted payloads for each service.
60 lines
1.9 KiB
Dart
60 lines
1.9 KiB
Dart
import 'dart:convert';
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import 'package:http/http.dart' as http;
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/// Provides AI-powered activity suggestions using an external endpoint.
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///
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/// The endpoint is expected to accept POST JSON:
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/// { "city": "...", "interests": ["food","art"], "budget": "low|mid|high" }
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/// and return { "suggestions": [ { "title": "...", "detail": "..." }, ... ] }
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///
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/// This class is a thin client and can be wired to a custom backend that
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/// proxies LLM calls (to avoid shipping secrets in the app).
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class AiActivityService {
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/// Base URL of the AI suggestion endpoint.
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final String baseUrl;
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/// Optional API key if your backend requires it.
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final String? apiKey;
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/// Creates an AI activity service client.
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const AiActivityService({required this.baseUrl, this.apiKey});
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/// Fetches suggestions for the given [city] with optional [interests] and [budget].
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///
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/// Returns a list of string suggestions. In case of error, returns an empty list
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/// to keep the UI responsive.
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Future<List<String>> fetchSuggestions({
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required String city,
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List<String> interests = const [],
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String budget = 'mid',
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}) async {
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final uri = Uri.parse('$baseUrl/ai/suggestions');
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try {
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final response = await http.post(
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uri,
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headers: {
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'Content-Type': 'application/json',
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if (apiKey != null) 'Authorization': 'Bearer $apiKey',
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},
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body: json.encode({
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'city': city,
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'interests': interests,
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'budget': budget,
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}),
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);
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if (response.statusCode == 200) {
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final data = json.decode(response.body) as Map<String, dynamic>;
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final list = (data['suggestions'] as List<dynamic>? ?? [])
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.cast<Map<String, dynamic>>();
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return list
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.map((item) => item['title'] as String? ?? 'Suggestion')
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.toList();
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}
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return const [];
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} catch (_) {
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return const [];
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}
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}
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}
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