import 'dart:convert'; import 'package:fluffychat/pangea/config/environment.dart'; import 'package:fluffychat/pangea/controllers/language_detection_controller.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'; import '../network/urls.dart'; class IgcRepo { static Future getIGC( String? accessToken, { required IGCRequestBody igcRequest, }) async { final Requests req = Requests( accessToken: accessToken, choreoApiKey: Environment.choreoApiKey, ); final Response res = await req.post( url: PApiUrls.igcLite, body: igcRequest.toJson(), ); final Map json = jsonDecode(utf8.decode(res.bodyBytes).toString()); final IGCTextData response = IGCTextData.fromJson(json); return response; } static Future getMockData() async { await Future.delayed(const Duration(seconds: 2)); final IGCTextData igcTextData = IGCTextData( detections: LanguageDetectionResponse( detections: [LanguageDetection(langCode: "en", confidence: 0.99)], fullText: "This be a sample text", ), tokens: [ PangeaToken( text: PangeaTokenText(content: "This", offset: 0, length: 4), lemma: Lemma(form: "This", text: "this", saveVocab: true), pos: "DET", morph: {}, ), PangeaToken( text: PangeaTokenText(content: "be", offset: 5, length: 2), lemma: Lemma(form: "be", text: "be", saveVocab: true), pos: "VERB", morph: {}, ), PangeaToken( text: PangeaTokenText(content: "a", offset: 8, length: 1), lemma: Lemma(form: "a", text: "a", saveVocab: true), pos: "DET", morph: {}, ), PangeaToken( text: PangeaTokenText(content: "sample", offset: 10, length: 6), lemma: Lemma(form: "sample", text: "sample", saveVocab: true), pos: "NOUN", morph: {}, ), PangeaToken( text: PangeaTokenText(content: "text", offset: 17, length: 4), lemma: Lemma(form: "text", text: "text", saveVocab: true), pos: "NOUN", morph: {}, ), ], matches: [ PangeaMatch( match: spanDataRepomockSpan, status: PangeaMatchStatus.open, ), ], originalInput: "This be a sample text", fullTextCorrection: "This is a sample text", userL1: "es", userL2: "en", enableIT: true, enableIGC: true, ); return igcTextData; } } /// Previous text/audio message sent in chat /// Contain message content, sender, and timestamp class PreviousMessage { String content; String sender; DateTime timestamp; PreviousMessage({ required this.content, required this.sender, required this.timestamp, }); factory PreviousMessage.fromJson(Map json) => PreviousMessage( content: json[ModelKey.prevContent] ?? "", sender: json[ModelKey.prevSender] ?? "", timestamp: json[ModelKey.prevTimestamp] == null ? DateTime.now() : DateTime.parse(json[ModelKey.prevTimestamp]), ); Map toJson() => { ModelKey.prevContent: content, ModelKey.prevSender: sender, ModelKey.prevTimestamp: timestamp.toIso8601String(), }; } class IGCRequestBody { String fullText; String userL1; String userL2; bool enableIT; bool enableIGC; String userId; List prevMessages; IGCRequestBody({ required this.fullText, required this.userL1, required this.userL2, required this.enableIGC, required this.enableIT, required this.userId, required this.prevMessages, }); Map toJson() => { ModelKey.fullText: fullText, ModelKey.userL1: userL1, ModelKey.userL2: userL2, "enable_it": enableIT, "enable_igc": enableIGC, ModelKey.userId: userId, ModelKey.prevMessages: jsonEncode(prevMessages.map((x) => x.toJson()).toList()), }; }