03745fff89
* feat: add transcription and translation to audio practice * fix: make sure answer form matches word in audio and optimize distractor/answer selection with one pass through the list * feat: audio practice progress bar * fix: simplify audio logic
91 lines
3.4 KiB
Dart
91 lines
3.4 KiB
Dart
import 'package:fluffychat/pangea/analytics_practice/analytics_practice_session_model.dart';
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import 'package:fluffychat/pangea/events/models/pangea_token_model.dart';
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import 'package:fluffychat/pangea/practice_activities/lemma_activity_generator.dart';
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import 'package:fluffychat/pangea/practice_activities/message_activity_request.dart';
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import 'package:fluffychat/pangea/practice_activities/multiple_choice_activity_model.dart';
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import 'package:fluffychat/pangea/practice_activities/practice_activity_model.dart';
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class VocabAudioActivityGenerator {
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static Future<MessageActivityResponse> get(MessageActivityRequest req) async {
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final token = req.target.tokens.first;
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final audioExample = req.audioExampleMessage;
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// Find the matching token in the audio example message to get the correct form
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PangeaToken targetToken = token;
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if (audioExample != null) {
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final matchingToken = audioExample.tokens.firstWhere(
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(t) => t.lemma.text.toLowerCase() == token.lemma.text.toLowerCase(),
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orElse: () => token,
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);
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targetToken = matchingToken;
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}
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final Set<String> answers = {};
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final Set<String> wordsInMessage = {};
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final Set<String> lemmasInMessage = {};
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final List<PangeaToken> answerTokens = [targetToken];
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if (audioExample != null) {
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// Collect all words/lemmas in message and select additional answer words
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final List<PangeaToken> potentialAnswers = [];
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for (final t in audioExample.tokens) {
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wordsInMessage.add(t.text.content.toLowerCase());
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lemmasInMessage.add(t.lemma.text.toLowerCase());
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if (t != targetToken &&
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t.lemma.saveVocab &&
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t.text.content.trim().isNotEmpty) {
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potentialAnswers.add(t);
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}
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}
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// Shuffle and select up to 3 additional answer words
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potentialAnswers.shuffle();
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final otherAnswerTokens = potentialAnswers.take(3).toList();
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answerTokens.addAll(otherAnswerTokens);
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answers.addAll(answerTokens.map((t) => t.text.content.toLowerCase()));
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} else {
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answers.add(targetToken.text.content.toLowerCase());
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wordsInMessage.add(targetToken.text.content.toLowerCase());
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lemmasInMessage.add(targetToken.lemma.text.toLowerCase());
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}
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// Generate distractors, filtering out anything in the message (by form or lemma)
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final choices = await LemmaActivityGenerator.lemmaActivityDistractors(
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targetToken,
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maxChoices: 20,
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language: req.userL2.split('-').first,
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);
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final choicesList = choices
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.map((c) => c.lemma)
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.where(
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(lemma) =>
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!answers.contains(lemma.toLowerCase()) &&
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!wordsInMessage.contains(lemma.toLowerCase()) &&
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!lemmasInMessage.contains(lemma.toLowerCase()),
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)
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.take(4)
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.toList();
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final allChoices = [...choicesList, ...answers];
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allChoices.shuffle();
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return MessageActivityResponse(
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activity: VocabAudioPracticeActivityModel(
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tokens: answerTokens,
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langCode: req.userL2,
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multipleChoiceContent: MultipleChoiceActivity(
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choices: allChoices.toSet(),
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answers: answers,
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),
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roomId: audioExample?.roomId,
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eventId: audioExample?.eventId,
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exampleMessage:
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audioExample?.exampleMessage ??
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const ExampleMessageInfo(exampleMessage: []),
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),
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);
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}
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}
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