modif

lib/modele/api/request_api.dart

@@ -285,7 +285,11 @@ class RequestApi implements IDataStrategy {
   @override
   Future<Tuple2> getModeleAI(String token, String category) async {
     try {
-      final response = await http.post(Uri.parse('$urlApi/user/IA/$category'));
+      final response = await http.post(Uri.parse('$urlApi/user/ai/$category'),
+          headers: <String, String>{'Authorization': token});
+
+      print(response.statusCode);
+      print(response.body);
 
       if (response.statusCode == 200) {
         Map<String, dynamic> json = jsonDecode(response.body);

lib/modele/utile/home_view/home_view_util.dart

@@ -21,8 +21,14 @@ class HomeViewUtil {
 
     List<FlSpot> bpmSecondes2 = List.from(bpmSecondes);
 
-    return DataHomeView(normaliserPremierElement(bpmSecondes), normaliserPremierElement(normaliserDeuxiemeElement(bpmSecondes2)),
+    print('DEBUG');
-         normaliserPremierElement(normaliserDeuxiemeElement(vitesseSecondes)), normaliserPremierElement(altitudeSeconde));
+    print(bpmSecondes.length);
+
+    return DataHomeView(
+        normaliserPremierElement(bpmSecondes),
+        normaliserPremierElement(normaliserDeuxiemeElement(bpmSecondes2)),
+        normaliserPremierElement(normaliserDeuxiemeElement(vitesseSecondes)),
+        normaliserPremierElement(altitudeSeconde));
   }
 
   List<FlSpot> normaliserDeuxiemeElement(List<FlSpot> liste) {
@@ -41,21 +47,21 @@ class HomeViewUtil {
     }
     return liste;
   }
+
   List<FlSpot> normaliserPremierElement(List<FlSpot> liste) {
-  // Trouver le plus grand élément dans le premier élément de chaque FlSpot
+    // Trouver le plus grand élément dans le premier élément de chaque FlSpot
-  double maxElement = 0.0;
+    double maxElement = 0.0;
-  for (var spot in liste) {
+    for (var spot in liste) {
-    if (spot.x > maxElement) {
+      if (spot.x > maxElement) {
-      maxElement = spot.x;
+        maxElement = spot.x;
+      }
     }
+    // Calculer le facteur de normalisation
+    double normalisationFactor = maxElement != 0.0 ? 100 / maxElement : 1.0;
+    // Mettre à jour tous les premiers éléments de la liste
+    for (int i = 0; i < liste.length; i++) {
+      liste[i] = FlSpot(liste[i].x * normalisationFactor, liste[i].y);
+    }
+    return liste;
   }
-  // Calculer le facteur de normalisation
-  double normalisationFactor = maxElement != 0.0 ? 100 / maxElement : 1.0;
-  // Mettre à jour tous les premiers éléments de la liste
-  for (int i = 0; i < liste.length; i++) {
-    liste[i] = FlSpot(liste[i].x * normalisationFactor, liste[i].y);
-  }
-  return liste;
-}
-
 }

lib/modele/utile/list_activity/list_activity_utile.dart

@@ -5,7 +5,6 @@ import 'package:smartfit_app_mobile/modele/activity_saver.dart';
 import 'package:smartfit_app_mobile/modele/helper.dart';
 import 'dart:convert';
 import 'dart:io';
-import 'dart:typed_data';
 import 'package:csv/csv.dart';
 import 'package:flutter/material.dart';
 import 'package:provider/provider.dart';
@@ -91,6 +90,9 @@ class ListActivityUtile {
     String csvString = const ListToCsvConverter().convert(resultData.item2);
     Uint8List byteCSV = Uint8List.fromList(utf8.encode(csvString));
 
+    File x = await File("${await _managerFile.localPath}\\what")
+        .writeAsString(csvString);
+
     Tuple2<bool, String> result = await api.uploadFileByte(
         token,
         byteCSV,

lib/view/home/mobile/mobile_homeview.dart

@@ -29,6 +29,7 @@ class _MobileHomeView extends State<MobileHomeView> {
         context.watch<User>().managerSelectedActivity;
 
     data = HomeViewUtil().initData(context);
+
     // -- BPM -- //
     data.maxBPM =
         managerSelectedActivity.activitySelected.first.activityInfo.bpmMax;
@@ -36,7 +37,6 @@ class _MobileHomeView extends State<MobileHomeView> {
         managerSelectedActivity.activitySelected.first.activityInfo.bpmMin;
     int avgBpm =
         managerSelectedActivity.activitySelected.first.activityInfo.bpmAvg;
-
     // -- Altitude -- //
     double minAltitude =
         managerSelectedActivity.activitySelected.first.activityInfo.altitudeMin;
@@ -48,12 +48,12 @@ class _MobileHomeView extends State<MobileHomeView> {
     double maxSpeed = managerSelectedActivity.getMaxSpeedAllActivitySelected();
     double avgSpeed = managerSelectedActivity.getAvgSpeedAllActivitySelected();
     double minSpeed = managerSelectedActivity.getMinSpeedAllActivitySelected();
-
     data.maxSpeed = maxSpeed;
     data.time = context
         .watch<User>()
         .managerSelectedActivity
         .getTimeAllActivitySelected();
+
     return Scaffold(
       backgroundColor: TColor.white,
       body: SingleChildScrollView(

lib/view/home/prediction_view.dart

@@ -50,21 +50,23 @@ class _PredictionState extends State<Prediction> {
 
     void prediction() async {
       InfoMessage tmp = InfoMessage();
-      setState(() {
+
-        print("lol");
+      /*
-        lastWorkoutArr[0]["Value"] = "null";
+      if (selectedCategory != _managerFile.marche ||
-      });
+          selectedCategory != _managerFile.velo) return;*/
+
+      print("Start");
       Tuple2<bool, ActivityInfo> resultat =
           await Provider.of<User>(context, listen: false)
               .predictActivity(DateTime.now(), selectedCategory, tmp);
       if (!resultat.item1) return;
       setState(() {
-        lastWorkoutArr[0]["Value"] =
+        lastWorkoutArr[0]["value"] =
             resultat.item2.timeOfActivity.toStringAsFixed(2);
-        lastWorkoutArr[1]["Value"] = resultat.item2.bpmAvg.toStringAsFixed(2);
+        lastWorkoutArr[1]["value"] = resultat.item2.bpmAvg.toStringAsFixed(2);
-        lastWorkoutArr[2]["Value"] =
+        lastWorkoutArr[2]["value"] =
             resultat.item2.vitesseAvg.toStringAsFixed(2);
-        lastWorkoutArr[3]["Value"] = resultat.item2.distance.toStringAsFixed(2);
+        lastWorkoutArr[3]["value"] = resultat.item2.distance.toStringAsFixed(2);
       });
     }