language detection updates

lib/pangea/constants/model_keys.dart

@@ -54,6 +54,7 @@ class ModelKey {
   static const String offset = "offset";
   static const String length = "length";
   static const String langCode = 'lang_code';
+  static const String confidence = 'confidence';
   // some old analytics rooms have langCode instead of lang_code in the room creation content
   static const String oldLangCode = 'langCode';
   static const String wordLang = "word_lang";

lib/pangea/controllers/language_detection_controller.dart

@@ -3,6 +3,7 @@ import 'dart:convert';
 
 import 'package:fluffychat/pangea/config/environment.dart';
 import 'package:fluffychat/pangea/controllers/pangea_controller.dart';
+import 'package:fluffychat/pangea/models/language_detection_model.dart';
 import 'package:fluffychat/pangea/network/urls.dart';
 import 'package:http/http.dart' as http;
 
@@ -48,7 +49,7 @@ class LanguageDetectionRequest {
 }
 
 class LanguageDetectionResponse {
-  List<Map<String, dynamic>> detections;
+  List<LanguageDetection> detections;
   String fullText;
 
   LanguageDetectionResponse({
@@ -58,7 +59,11 @@ class LanguageDetectionResponse {
 
   factory LanguageDetectionResponse.fromJson(Map<String, dynamic> json) {
     return LanguageDetectionResponse(
-      detections: List<Map<String, dynamic>>.from(json['detections']),
+      detections: List<LanguageDetection>.from(
+        json['detections'].map(
+          (e) => LanguageDetection.fromJson(e),
+        ),
+      ),
       fullText: json['full_text'],
     );
   }
@@ -69,6 +74,18 @@ class LanguageDetectionResponse {
       'full_text': fullText,
     };
   }
+
+  LanguageDetection? get _bestDetection {
+    detections.sort((a, b) => b.confidence.compareTo(a.confidence));
+    return detections.isNotEmpty ? detections.first : null;
+  }
+
+  final double _confidenceThreshold = 0.95;
+
+  LanguageDetection? get thresholdedDetection =>
+      (_bestDetection?.confidence ?? 0) >= _confidenceThreshold
+          ? _bestDetection!
+          : null;
 }
 
 class _LanguageDetectionCacheItem {
@@ -103,6 +120,19 @@ class LanguageDetectionController {
     _cacheClearTimer?.cancel();
   }
 
+  Future<LanguageDetectionResponse> detectLanguage(
+    String fullText,
+    String? userL2,
+    String? userL1,
+  ) async {
+    final LanguageDetectionRequest params = LanguageDetectionRequest(
+      fullText: fullText,
+      userL1: userL1,
+      userL2: userL2,
+    );
+    return get(params);
+  }
+
   Future<LanguageDetectionResponse> get(
     LanguageDetectionRequest params,
   ) async {

lib/pangea/models/language_detection_model.dart

@@ -1,19 +1,23 @@
+import 'package:fluffychat/pangea/constants/model_keys.dart';
+
 class LanguageDetection {
   String langCode;
+  double confidence;
 
   LanguageDetection({
     required this.langCode,
+    required this.confidence,
   });
 
   factory LanguageDetection.fromJson(Map<String, dynamic> json) {
     return LanguageDetection(
-      langCode: json[_langCodeKey],
+      langCode: json[ModelKey.langCode],
+      confidence: json[ModelKey.confidence],
     );
   }
 
-  static const _langCodeKey = "lang_code";
-
   Map<String, dynamic> toJson() => {
-        _langCodeKey: langCode,
+        ModelKey.langCode: langCode,
+        ModelKey.confidence: confidence,
       };
 }

lib/pangea/repo/igc_repo.dart

@@ -1,13 +1,13 @@
 import 'dart:convert';
 
-import 'package:http/http.dart';
-
 import 'package:fluffychat/pangea/config/environment.dart';
 import 'package:fluffychat/pangea/models/language_detection_model.dart';
 import 'package:fluffychat/pangea/models/lemma.dart';
 import 'package:fluffychat/pangea/models/pangea_match_model.dart';
 import 'package:fluffychat/pangea/models/pangea_token_model.dart';
 import 'package:fluffychat/pangea/repo/span_data_repo.dart';
+import 'package:http/http.dart';
+
 import '../constants/model_keys.dart';
 import '../models/igc_text_data_model.dart';
 import '../network/requests.dart';
@@ -39,7 +39,7 @@ class IgcRepo {
     await Future.delayed(const Duration(seconds: 2));
 
     final IGCTextData igcTextData = IGCTextData(
-      detections: [LanguageDetection(langCode: "en")],
+      detections: [LanguageDetection(langCode: "en", confidence: 0.99)],
       tokens: [
         PangeaToken(
           text: PangeaTokenText(content: "This", offset: 0, length: 4),