Integrate LeaderboardService into SkillTreeViewModel

This commit integrates the `LeaderboardService` into `SkillTreeViewModel` to enable benchmark report submissions to the leaderboard. A `BenchmarkRun` object is created from the evaluation response and submitted using the `submitReport` method from `LeaderboardService`.

frontend/lib/main.dart

@@ -1,4 +1,4 @@
-import 'package:auto_gpt_flutter_client/services/auth_service.dart';
+import 'package:auto_gpt_flutter_client/services/leaderboard_service.dart';
 import 'package:auto_gpt_flutter_client/views/auth/firebase_auth_view.dart';
 import 'package:flutter/material.dart';
 import 'views/main_layout.dart';
@@ -47,9 +47,13 @@ void main() async {
               TaskService(restApiUtility),
         ),
         ProxyProvider<RestApiUtility, BenchmarkService>(
-          update: (context, restApiUtility, taskService) =>
+          update: (context, restApiUtility, benchmarkService) =>
               BenchmarkService(restApiUtility),
         ),
+        ProxyProvider<RestApiUtility, LeaderboardService>(
+          update: (context, restApiUtility, leaderboardService) =>
+              LeaderboardService(restApiUtility),
+        ),
         ChangeNotifierProxyProvider<RestApiUtility, ApiSettingsViewModel>(
           create: (context) => ApiSettingsViewModel(
               Provider.of<RestApiUtility>(context, listen: false)),
@@ -90,7 +94,8 @@ class MyApp extends StatelessWidget {
                         Provider.of<TaskService>(context, listen: false))),
                 ChangeNotifierProvider(
                   create: (context) => SkillTreeViewModel(
-                      Provider.of<BenchmarkService>(context, listen: false)),
+                      Provider.of<BenchmarkService>(context, listen: false),
+                      Provider.of<LeaderboardService>(context, listen: false)),
                 ),
               ],
               child: MainLayout(),

frontend/lib/viewmodels/skill_tree_viewmodel.dart

@@ -1,4 +1,5 @@
 import 'dart:convert';
+import 'package:auto_gpt_flutter_client/models/benchmark/benchmark_run.dart';
 import 'package:auto_gpt_flutter_client/models/benchmark/benchmark_step_request_body.dart';
 import 'package:auto_gpt_flutter_client/models/benchmark/benchmark_task_request_body.dart';
 import 'package:auto_gpt_flutter_client/models/benchmark/benchmark_task_status.dart';
@@ -8,6 +9,7 @@ import 'package:auto_gpt_flutter_client/models/step.dart';
 import 'package:auto_gpt_flutter_client/models/task.dart';
 import 'package:auto_gpt_flutter_client/models/test_suite.dart';
 import 'package:auto_gpt_flutter_client/services/benchmark_service.dart';
+import 'package:auto_gpt_flutter_client/services/leaderboard_service.dart';
 import 'package:auto_gpt_flutter_client/viewmodels/chat_viewmodel.dart';
 import 'package:auto_gpt_flutter_client/viewmodels/task_viewmodel.dart';
 import 'package:collection/collection.dart';
@@ -19,6 +21,8 @@ class SkillTreeViewModel extends ChangeNotifier {
   // TODO: Potentially move to task queue view model when we create one
   final BenchmarkService benchmarkService;
   // TODO: Potentially move to task queue view model when we create one
+  final LeaderboardService leaderboardService;
+  // TODO: Potentially move to task queue view model when we create one
   bool isBenchmarkRunning = false;
   // TODO: Potentially move to task queue view model when we create one
   Map<SkillTreeNode, BenchmarkTaskStatus> benchmarkStatusMap = {};
@@ -37,7 +41,7 @@ class SkillTreeViewModel extends ChangeNotifier {
   final Graph graph = Graph()..isTree = true;
   BuchheimWalkerConfiguration builder = BuchheimWalkerConfiguration();
 
-  SkillTreeViewModel(this.benchmarkService);
+  SkillTreeViewModel(this.benchmarkService, this.leaderboardService);
 
   Future<void> initializeSkillTree() async {
     try {
@@ -206,6 +210,13 @@ class SkillTreeViewModel extends ChangeNotifier {
             await benchmarkService.triggerEvaluation(task.id);
         print("Evaluation response: $evaluationResponse");
 
+        // Decode the evaluationResponse into a BenchmarkRun object
+        BenchmarkRun benchmarkRun = BenchmarkRun.fromJson(evaluationResponse);
+
+        // TODO: We should only trigger this if the user has designated they want to submit
+        // Submit the BenchmarkRun object to the leaderboard
+        await leaderboardService.submitReport(benchmarkRun);
+
         // Update the benchmarkStatusList based on the evaluation response
         bool successStatus = evaluationResponse['metrics']['success'];
         benchmarkStatusMap[node] = successStatus