feat: implement base architecture and core repositories for weapon tracking and target analysis functionality

lib/features/analysis/analysis_provider.dart

@@ -7,9 +7,9 @@ library;
 
 import 'dart:io';
 import 'dart:ui' as ui;
-import 'package:flutter/foundation.dart';
+import 'package:flutter/material.dart';
 import 'package:uuid/uuid.dart';
-import '../../data/models/session.dart';
+import '../../data/models/target_analysis.dart';
 import '../../data/models/shot.dart';
 import '../../data/models/target_type.dart';
 import '../../data/repositories/session_repository.dart';
@@ -120,6 +120,7 @@ class AnalysisProvider extends ChangeNotifier {
     String imagePath,
     TargetType targetType, {
     bool autoAnalyze = true,
+    Offset? manualCenter,
   }) async {
     _state = AnalysisState.loading;
     _imagePath = imagePath;
@@ -138,8 +139,8 @@ class AnalysisProvider extends ChangeNotifier {
 
       if (!autoAnalyze) {
         // Just setup default values without running detection
-        _targetCenterX = 0.5;
-        _targetCenterY = 0.5;
+        _targetCenterX = manualCenter?.dx ?? 0.5;
+        _targetCenterY = manualCenter?.dy ?? 0.5;
         _targetRadius = 0.4;
         _targetInnerRadius = 0.04;
 
@@ -173,7 +174,7 @@ class AnalysisProvider extends ChangeNotifier {
           x: impact.x,
           y: impact.y,
           score: impact.suggestedScore,
-          sessionId: '', // Will be set when saving
+          analysisId: '', // Will be set when saving
         );
       }).toList();
 
@@ -195,7 +196,7 @@ class AnalysisProvider extends ChangeNotifier {
   /// Add a manual shot
   void addShot(double x, double y) {
     final score = _calculateShotScore(x, y);
-    final shot = Shot(id: _uuid.v4(), x: x, y: y, score: score, sessionId: '');
+    final shot = Shot(id: _uuid.v4(), x: x, y: y, score: score, analysisId: '');
 
     _shots.add(shot);
     _recalculateScores();
@@ -275,7 +276,7 @@ class AnalysisProvider extends ChangeNotifier {
         x: impact.x,
         y: impact.y,
         score: score,
-        sessionId: '',
+        analysisId: '',
       );
       _shots.add(shot);
     }
@@ -288,14 +289,6 @@ class AnalysisProvider extends ChangeNotifier {
   }
 
   /// Auto-detect impacts using OpenCV (Hough Circles + Contours)
-  ///
-  /// NOTE: OpenCV est actuellement désactivé sur Windows en raison de problèmes
-  /// de compilation. Cette méthode retourne 0 (aucun impact détecté).
-  /// Utiliser autoDetectImpacts() à la place.
-  ///
-  /// Utilise les algorithmes OpenCV pour une détection plus robuste:
-  /// - Transformation de Hough pour détecter les cercles
-  /// - Analyse de contours avec filtrage par circularité
   Future<int> autoDetectImpactsWithOpenCV({
     double cannyThreshold1 = 50,
     double cannyThreshold2 = 150,
@@ -352,7 +345,7 @@ class AnalysisProvider extends ChangeNotifier {
         x: impact.x,
         y: impact.y,
         score: score,
-        sessionId: '',
+        analysisId: '',
       );
       _shots.add(shot);
     }
@@ -404,7 +397,7 @@ class AnalysisProvider extends ChangeNotifier {
         x: impact.x,
         y: impact.y,
         score: score,
-        sessionId: '',
+        analysisId: '',
       );
       _shots.add(shot);
     }
@@ -419,7 +412,7 @@ class AnalysisProvider extends ChangeNotifier {
   /// Add a reference impact for calibrated detection
   void addReferenceImpact(double x, double y) {
     final score = _calculateShotScore(x, y);
-    final shot = Shot(id: _uuid.v4(), x: x, y: y, score: score, sessionId: '');
+    final shot = Shot(id: _uuid.v4(), x: x, y: y, score: score, analysisId: '');
     _referenceImpacts.add(shot);
     notifyListeners();
   }
@@ -489,7 +482,7 @@ class AnalysisProvider extends ChangeNotifier {
         x: impact.x,
         y: impact.y,
         score: score,
-        sessionId: '',
+        analysisId: '',
       );
       _shots.add(shot);
     }
@@ -563,7 +556,7 @@ class AnalysisProvider extends ChangeNotifier {
       }
       return false;
     } catch (e) {
-      print('Auto-calibration error: $e');
+      debugPrint('Auto-calibration error: $e');
       return false;
     }
   }
@@ -608,7 +601,6 @@ class AnalysisProvider extends ChangeNotifier {
     }
   }
 
-  /* version deux a tester*/
   /// Calcule ET applique la correction pour un feedback immédiat
   Future<void> calculateAndApplyDistortion() async {
     // 1. Calcul des paramètres (votre code actuel)
@@ -644,7 +636,6 @@ class AnalysisProvider extends ChangeNotifier {
       notifyListeners();
     }
   }
-  /* fin section deux a tester*/
 
   int _calculateShotScore(double x, double y) {
     if (_targetType == TargetType.concentric) {
@@ -697,10 +688,10 @@ class AnalysisProvider extends ChangeNotifier {
       return false;
     }
 
-    // Identifiant de session temporaire si non sauvegardée
-    final sessionId = _shots.isNotEmpty && _shots.first.sessionId.isNotEmpty
-        ? _shots.first.sessionId
-        : 'session_${DateTime.now().millisecondsSinceEpoch}';
+    // Identifiant d'analyse temporaire
+    final analysisId = _shots.isNotEmpty && _shots.first.analysisId.isNotEmpty
+        ? _shots.first.analysisId
+        : 'analysis_${DateTime.now().millisecondsSinceEpoch}';
 
     final service = AiExportService(); // Local instanciation for simplicity
     
@@ -709,7 +700,7 @@ class AnalysisProvider extends ChangeNotifier {
 
     final success = await service.exportData(
       imagePath: _imagePath!,
-      sessionId: sessionId,
+      sessionId: 'export',
       targetType: _targetType!,
       targetCenterX: _targetCenterX,
       targetCenterY: _targetCenterY,
@@ -725,16 +716,23 @@ class AnalysisProvider extends ChangeNotifier {
     return success;
   }
 
-  /// Save the session
-  Future<Session> saveSession({String? notes}) async {
+  /// Save the session (legacy standalone flow)
+  Future<TargetAnalysis> saveSession({
+    String? notes,
+    String? sessionId,
+    String? weaponName,
+    String? weaponId,
+    int? distance,
+  }) async {
     if (_imagePath == null || _targetType == null) {
       throw Exception('Cannot save: missing image or target type');
     }
 
-    final session = await _sessionRepository.createSession(
-      targetType: _targetType!,
+    final targetAnalysis = await _sessionRepository.prepareTargetAnalysis(
       imagePath: _imagePath!,
-      shots: _shots.map((s) => s.copyWith(sessionId: '')).toList(),
+      sessionId: sessionId ?? 'standalone',
+      targetType: _targetType!,
+      shots: _shots,
       totalScore: totalScore,
       groupingDiameter: _groupingResult?.diameter,
       groupingCenterX: _groupingResult?.centerX,
@@ -745,11 +743,34 @@ class AnalysisProvider extends ChangeNotifier {
       targetRadius: _targetRadius,
     );
 
-    // Update shots with session ID
-    _shots = session.shots;
-    notifyListeners();
+    if (sessionId != null && sessionId != 'standalone') {
+      final existingSession = await _sessionRepository.getSession(sessionId);
+      if (existingSession != null) {
+        await _sessionRepository.addAnalysisToSession(sessionId, targetAnalysis);
+      } else {
+        await _sessionRepository.createSession(
+          id: sessionId,
+          weapon: weaponName ?? 'Inconnue',
+          weaponId: weaponId,
+          maxShotsPerTarget: shotCount,
+          analyses: [targetAnalysis],
+          notes: notes,
+          distance: distance ?? 25,
+        );
+      }
+    } else {
+      await _sessionRepository.createSession(
+        weapon: weaponName ?? 'Inconnue',
+        weaponId: weaponId,
+        maxShotsPerTarget: shotCount,
+        analyses: [targetAnalysis],
+        notes: notes,
+        distance: distance ?? 25,
+      );
+    }
 
-    return session;
+    notifyListeners();
+    return targetAnalysis;
   }
 
   /// Reset the provider