branch backend + ajout du serveur backend, next, et sqlite

lib/services/ai_export_service.dart

@@ -0,0 +1,146 @@
+import 'dart:convert';
+import 'dart:io';
+import 'package:http/http.dart' as http;
+import 'package:device_info_plus/device_info_plus.dart';
+import 'package:crypto/crypto.dart';
+import '../data/models/shot.dart';
+import '../data/models/target_type.dart';
+import 'wallet_identity_service.dart';
+
+class AiExportService {
+  // Utilise 10.0.2.2 pour l'émulateur Android, sinon localhost.
+  // Pour un appareil physique, il faudra utiliser l'IP locale du PC (ex: 192.168.1.X).
+  static String get _defaultApiUrl {
+    if (Platform.isAndroid) {
+      return 'http://10.0.2.2:3000/api/upload';
+    }
+    return 'http://localhost:3000/api/upload';
+  }
+
+  /// Extrait les informations de l'appareil
+  Future<Map<String, dynamic>> _getDeviceInfo() async {
+    final DeviceInfoPlugin deviceInfoPlugin = DeviceInfoPlugin();
+    Map<String, dynamic> deviceData = {'model': 'Unknown', 'os': 'Unknown'};
+
+    try {
+      if (Platform.isAndroid) {
+        final androidInfo = await deviceInfoPlugin.androidInfo;
+        deviceData['model'] = '${androidInfo.brand} ${androidInfo.model}';
+        deviceData['os'] = 'Android ${androidInfo.version.release}';
+      } else if (Platform.isIOS) {
+        final iosInfo = await deviceInfoPlugin.iosInfo;
+        deviceData['model'] = iosInfo.name;
+        deviceData['os'] = '${iosInfo.systemName} ${iosInfo.systemVersion}';
+      } else if (Platform.isWindows) {
+        final windowsInfo = await deviceInfoPlugin.windowsInfo;
+        deviceData['model'] = 'Windows PC';
+        deviceData['os'] = 'Windows ${windowsInfo.majorVersion}.${windowsInfo.minorVersion}';
+      }
+    } catch (e) {
+      print('Erreur lors de la récupération des infos appareil: $e');
+    }
+
+    return deviceData;
+  }
+
+  /// Exporte l'image et les données de plotting vers le serveur
+  Future<bool> exportData({
+    required String imagePath,
+    required String sessionId,
+    required TargetType targetType,
+    required double targetCenterX,
+    required double targetCenterY,
+    required double targetRadius,
+    required List<Shot> shots,
+    String? apiUrl,
+  }) async {
+    try {
+      final url = Uri.parse(apiUrl ?? _defaultApiUrl);
+      final request = http.MultipartRequest('POST', url);
+
+      // 1. Prepare image
+      final file = File(imagePath);
+      if (!await file.exists()) {
+        throw Exception('Le fichier image n\'existe pas');
+      }
+
+      // Read image metadata (approximate dimensions since decoding image can be heavy)
+      // On the frontend we usually have aspectRatio, here we use generic values if not available.
+      final deviceData = await _getDeviceInfo();
+
+      // We approximate the target corners from center and radius
+      // radius is relative (0 to 1). We need image width/height to get pixels.
+      // But we can just pass relative corners as well, or a normalized bounding box.
+      // Let's create normalized corners (0 to 1).
+      final corners = [
+        {"norm_x": targetCenterX - targetRadius, "norm_y": targetCenterY - targetRadius},
+        {"norm_x": targetCenterX + targetRadius, "norm_y": targetCenterY - targetRadius},
+        {"norm_x": targetCenterX + targetRadius, "norm_y": targetCenterY + targetRadius},
+        {"norm_x": targetCenterX - targetRadius, "norm_y": targetCenterY + targetRadius},
+      ];
+
+      // Format the impacts
+      final formattedImpacts = shots.asMap().entries.map((entry) {
+        final index = entry.key;
+        final shot = entry.value;
+        return {
+          "id": index + 1,
+          "label": "bullet_hole",
+          "score": shot.score,
+          "coords": {
+            "norm_x": shot.x,
+            "norm_y": shot.y
+          }
+        };
+      }).toList();
+
+      // Get and hash the wallet identity
+      final walletService = WalletIdentityService();
+      final phrase = await walletService.getIdentityPhrase();
+      final phraseBytes = utf8.encode(phrase);
+      final walletHash = sha256.convert(phraseBytes).toString();
+
+      // Build JSON payload
+      final plottingJson = {
+        "session_id": sessionId,
+        "wallet_hash": walletHash,
+        "timestamp": DateTime.now().toIso8601String(),
+        "device_info": deviceData,
+        "target_metadata": {
+          "type": targetType.name,
+          "distance_meters": 25, // Default/placeholder
+          "weapon": "Unknown", // Default/placeholder
+          // The backend could extract exact width/height from the image. 
+        },
+        "plotting": {
+          "target_corners": corners,
+          "impacts": formattedImpacts
+        }
+      };
+
+      // Add fields to request
+      request.fields['plotting'] = jsonEncode(plottingJson);
+
+      // Add file
+      request.files.add(
+        await http.MultipartFile.fromPath('photo', imagePath),
+      );
+
+      // Send request
+      final response = await request.send();
+
+      if (response.statusCode == 200) {
+        final responseData = await response.stream.bytesToString();
+        print('Export réussi: $responseData');
+        return true;
+      } else {
+        final errorData = await response.stream.bytesToString();
+        print('Erreur d\'export: ${response.statusCode} - $errorData');
+        return false;
+      }
+    } catch (e) {
+      print('Exception lors de l\'export: $e');
+      return false;
+    }
+  }
+}