53 lines
1.6 KiB
Dart
53 lines
1.6 KiB
Dart
import 'package:fluffychat/pangea/choreographer/igc/pangea_match_model.dart';
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import 'package:fluffychat/pangea/common/constants/model_keys.dart';
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class IGCResponseModel {
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final String originalInput;
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final String? fullTextCorrection;
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final List<PangeaMatch> matches;
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final String userL1;
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final String userL2;
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final bool enableIT;
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final bool enableIGC;
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IGCResponseModel({
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required this.originalInput,
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required this.fullTextCorrection,
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required this.matches,
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required this.userL1,
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required this.userL2,
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required this.enableIT,
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required this.enableIGC,
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});
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factory IGCResponseModel.fromJson(Map<String, dynamic> json) {
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return IGCResponseModel(
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matches: json["matches"] != null
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? (json["matches"] as Iterable)
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.map<PangeaMatch>(
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(e) {
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return PangeaMatch.fromJson(e as Map<String, dynamic>);
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},
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)
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.toList()
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.cast<PangeaMatch>()
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: [],
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originalInput: json["original_input"],
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fullTextCorrection: json["full_text_correction"],
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userL1: json[ModelKey.userL1],
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userL2: json[ModelKey.userL2],
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enableIT: json["enable_it"],
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enableIGC: json["enable_igc"],
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);
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}
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Map<String, dynamic> toJson() => {
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"original_input": originalInput,
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"full_text_correction": fullTextCorrection,
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"matches": matches.map((e) => e.toJson()).toList(),
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ModelKey.userL1: userL1,
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ModelKey.userL2: userL2,
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"enable_it": enableIT,
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"enable_igc": enableIGC,
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};
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}
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