f7539c184f
* organized analytics practice session repo * refactor target generation for grammar error activities * improve grammar error target generation * more improvements to target generation
45 lines
1.7 KiB
Dart
45 lines
1.7 KiB
Dart
import 'package:fluffychat/pangea/analytics_misc/construct_practice_extension.dart';
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import 'package:fluffychat/pangea/analytics_misc/construct_use_model.dart';
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import 'package:fluffychat/pangea/analytics_practice/analytics_practice_constants.dart';
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import 'package:fluffychat/pangea/analytics_practice/analytics_practice_session_model.dart';
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import 'package:fluffychat/pangea/practice_activities/activity_type_enum.dart';
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import 'package:fluffychat/pangea/practice_activities/practice_target.dart';
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class VocabMeaningTargetGenerator {
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static ActivityTypeEnum activityType = ActivityTypeEnum.lemmaMeaning;
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static Future<List<AnalyticsActivityTarget>> get(
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List<ConstructUses> constructs,
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) async {
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// Score and sort by priority (highest first). Uses shared scorer for
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// consistent prioritization with message practice.
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final sortedConstructs = constructs.practiceSort(activityType);
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final Set<String> seenLemmas = {};
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final targets = <AnalyticsActivityTarget>[];
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for (final construct in sortedConstructs) {
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if (seenLemmas.contains(construct.lemma)) continue;
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seenLemmas.add(construct.lemma);
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if (!construct.cappedUses.any(
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(u) => u.metadata.eventId != null && u.metadata.roomId != null,
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)) {
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// Skip if no uses have eventId + roomId, so example message can be fetched.
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continue;
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}
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targets.add(
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AnalyticsActivityTarget(
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target: PracticeTarget(
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tokens: [construct.id.asToken],
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activityType: activityType,
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),
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),
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);
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if (targets.length >= AnalyticsPracticeConstants.targetsToGenerate) {
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break;
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}
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}
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return targets;
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}
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}
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