78 lines
1.9 KiB
Dart
78 lines
1.9 KiB
Dart
import 'dart:async';
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import 'package:lensai/features/bangs/data/models/bang_data.dart';
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import 'package:lensai/features/bangs/data/providers.dart';
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import 'package:lensai/features/bangs/domain/providers/bangs.dart';
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import 'package:lensai/features/bangs/domain/repositories/data.dart';
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import 'package:riverpod_annotation/riverpod_annotation.dart';
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part 'search.g.dart';
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@Riverpod()
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class BangSearch extends _$BangSearch {
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late StreamController<List<BangData>> _streamController;
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Future<Uri> triggerBangSearch(BangData bang, String searchQuery) async {
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final bangDataNotifier = ref.read(bangDataRepositoryProvider.notifier);
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await bangDataNotifier.increaseFrequency(bang.trigger);
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await bangDataNotifier.addSearchEntry(
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bang.trigger,
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searchQuery,
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maxEntryCount: 3,
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); //TODO: make count dynamic
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return bang.getTemplateUrl(searchQuery);
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}
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Future<void> search(String input) async {
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if (input.isNotEmpty) {
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await ref.read(bangDatabaseProvider).bangDao.queryBangs(input).get().then(
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(value) {
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if (!_streamController.isClosed) {
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_streamController.add(value);
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}
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},
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);
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}
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}
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@override
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Stream<List<BangData>> build() {
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_streamController = StreamController();
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ref.onDispose(() async {
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await _streamController.close();
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});
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return _streamController.stream;
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}
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}
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@Riverpod()
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class SeamlessBang extends _$SeamlessBang {
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bool _hasSearch = false;
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void search(String input) {
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if (input.isNotEmpty) {
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if (!_hasSearch) {
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_hasSearch = true;
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ref.invalidateSelf();
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}
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//Don't block
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unawaited(ref.read(bangSearchProvider.notifier).search(input));
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} else if (_hasSearch) {
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_hasSearch = false;
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ref.invalidateSelf();
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}
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}
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@override
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AsyncValue<List<BangData>> build() {
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return _hasSearch
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? ref.watch(bangSearchProvider)
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: ref.watch(frequentBangListProvider);
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}
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}
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