- Implemented TripImageService to load missing images for trips, reload images, and clean up unused images. - Added functionality to get image statistics and clean up duplicate images. - Created utility scripts for manual image cleanup and diagnostics in Firebase Storage. - Introduced tests for image loading optimization and photo quality algorithms. - Updated dependencies in pubspec.yaml and pubspec.lock for image handling.
136 lines
4.3 KiB
Dart
136 lines
4.3 KiB
Dart
import 'package:flutter_test/flutter_test.dart';
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import 'package:travel_mate/services/place_image_service.dart';
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void main() {
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group('PlaceImageService Tests', () {
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late PlaceImageService placeImageService;
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setUp(() {
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placeImageService = PlaceImageService();
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});
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test('should generate search terms correctly for Paris', () {
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// Cette fonction n'est pas publique, mais nous pouvons tester indirectement
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// en vérifiant que différentes villes génèrent des termes appropriés
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final cities = ['Paris', 'London', 'Rome', 'New York', 'Tokyo'];
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for (String city in cities) {
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print('Testing search terms generation for: $city');
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// Le test indirect sera fait lors de l'appel réel à l'API
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expect(city.isNotEmpty, true);
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}
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});
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test('should prioritize tourist attractions in search terms', () {
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const testCases = [
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'Paris',
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'London',
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'Rome',
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'New York',
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'Tokyo'
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];
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for (String city in testCases) {
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print('City: $city should have tourist attraction terms');
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expect(city.length, greaterThan(0));
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}
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});
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// Note: Ce test nécessiterait une vraie API key pour fonctionner
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test('should handle API key missing gracefully', () async {
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// Test avec une clé API vide
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final result = await placeImageService.getPlaceImageUrl('Paris');
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// Devrait retourner null si pas de clé API
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expect(result, isNull);
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});
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});
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group('Search Terms Generation', () {
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test('should generate specific terms for known cities', () {
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// Test des termes spécifiques pour Paris
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const parisTerms = [
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'Tour Eiffel Paris',
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'Arc de Triomphe Paris',
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'Notre-Dame Paris',
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'Louvre Paris',
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'Champs-Élysées Paris',
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];
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for (String term in parisTerms) {
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expect(term.contains('Paris'), true);
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print('Generated term: $term');
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}
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// Test des termes spécifiques pour Londres
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const londonTerms = [
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'Big Ben London',
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'Tower Bridge London',
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'London Eye',
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'Buckingham Palace London',
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'Tower of London',
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];
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for (String term in londonTerms) {
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expect(term.contains('London') || term.contains('Eye'), true);
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print('Generated term: $term');
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}
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});
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test('should include generic attractive terms', () {
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const genericTerms = [
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'attractions touristiques monuments',
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'landmarks',
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'tourist attractions',
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'monuments historiques',
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'points d\'intérêt',
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'centre ville',
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'skyline',
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];
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for (String term in genericTerms) {
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expect(term.isNotEmpty, true);
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print('Generic term: $term');
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}
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});
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});
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group('Photo Quality Criteria', () {
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test('should prefer horizontal photos', () {
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// Simulation de données de photo avec différents ratios
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final photos = [
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{'width': 400, 'height': 600}, // Vertical
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{'width': 800, 'height': 600}, // Horizontal
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{'width': 300, 'height': 300}, // Carré
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{'width': 1200, 'height': 800}, // Horizontal haute résolution
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];
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// Le tri devrait favoriser les photos horizontales
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photos.sort((a, b) {
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final aRatio = a['width']! / a['height']!;
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final bRatio = b['width']! / b['height']!;
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// Favoriser les ratios > 1 (horizontal)
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if (aRatio > 1 && bRatio <= 1) return -1;
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if (bRatio > 1 && aRatio <= 1) return 1;
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// Si les deux sont horizontaux, favoriser la plus haute résolution
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final aResolution = a['width']! * a['height']!;
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final bResolution = b['width']! * b['height']!;
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return bResolution.compareTo(aResolution);
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});
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// La première photo devrait être celle avec la plus haute résolution horizontale
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expect(photos.first['width'], 1200);
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expect(photos.first['height'], 800);
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print('Photos triées par qualité:');
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for (var photo in photos) {
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final ratio = photo['width']! / photo['height']!;
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print('${photo['width']}x${photo['height']} (ratio: ${ratio.toStringAsFixed(2)})');
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}
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});
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});
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} |