f7539c184f
* organized analytics practice session repo * refactor target generation for grammar error activities * improve grammar error target generation * more improvements to target generation
98 lines
3.5 KiB
Dart
98 lines
3.5 KiB
Dart
import 'package:flutter/material.dart';
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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_misc/example_message_util.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/constructs/construct_form.dart';
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import 'package:fluffychat/pangea/events/models/pangea_token_model.dart';
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import 'package:fluffychat/pangea/events/models/pangea_token_text_model.dart';
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import 'package:fluffychat/pangea/lemmas/lemma.dart';
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import 'package:fluffychat/pangea/morphs/morph_features_enum.dart';
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import 'package:fluffychat/pangea/morphs/morph_repo.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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import 'package:fluffychat/widgets/matrix.dart';
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class GrammarMatchTargetGenerator {
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static ActivityTypeEnum activityType = ActivityTypeEnum.grammarCategory;
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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> seenForms = {};
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final morphInfoResult = await MorphsRepo.get(
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MatrixState.pangeaController.userController.userL2,
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);
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// Build list of features with multiple tags (valid for practice)
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final List<String> validFeatures = morphInfoResult.features
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.where((f) => f.tags.length > 1)
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.map((f) => f.feature)
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.toList();
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final targets = <AnalyticsActivityTarget>[];
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for (final construct in sortedConstructs) {
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if (targets.length >= AnalyticsPracticeConstants.targetsToGenerate) {
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break;
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}
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final feature = MorphFeaturesEnumExtension.fromString(construct.category);
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// Only include features that are in the valid list (have multiple tags)
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if (feature == MorphFeaturesEnum.Unknown ||
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(validFeatures.isNotEmpty && !validFeatures.contains(feature.name))) {
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continue;
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}
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List<InlineSpan>? exampleMessage;
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final constructForms = construct.cappedUses
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.where((u) => u.form != null)
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.map((u) => ConstructForm(form: u.form!, cId: construct.id))
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.toSet();
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for (final form in constructForms) {
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if (targets.length >= AnalyticsPracticeConstants.targetsToGenerate) {
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break;
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}
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if (seenForms.contains(form.form)) continue;
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seenForms.add(form.form);
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exampleMessage = await ExampleMessageUtil.getExampleMessage(
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construct,
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form: form.form,
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);
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if (exampleMessage == null) continue;
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final token = PangeaToken(
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lemma: Lemma(text: form.form, saveVocab: true, form: form.form),
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text: PangeaTokenText.fromString(form.form),
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pos: 'other',
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morph: {feature: form.cId.lemma},
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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: [token],
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activityType: activityType,
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morphFeature: feature,
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),
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exampleMessage: ExampleMessageInfo(exampleMessage: exampleMessage),
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),
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);
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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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