fluffychat/lib/pangea/analytics_misc/example_message_util.dart

91 lines
2.6 KiB
Dart

import 'package:flutter/material.dart';
import 'package:collection/collection.dart';
import 'package:matrix/matrix.dart';
import 'package:fluffychat/pangea/analytics_misc/client_analytics_extension.dart';
import 'package:fluffychat/pangea/analytics_misc/construct_use_model.dart';
import 'package:fluffychat/pangea/events/event_wrappers/pangea_message_event.dart';
import 'package:fluffychat/pangea/events/models/pangea_token_model.dart';
class ExampleMessageUtil {
static Future<List<InlineSpan>?> getExampleMessage(
ConstructUses construct,
Client client, {
String? form,
}) async {
for (final use in construct.cappedUses) {
if (form != null && use.form != form) continue;
final event = await client.getEventByConstructUse(use);
if (event == null) continue;
final spans = _buildExampleMessage(use.form, event);
if (spans != null) return spans;
}
return null;
}
static Future<List<List<InlineSpan>>> getExampleMessages(
ConstructUses construct,
Client client,
int maxMessages,
) async {
final List<List<InlineSpan>> allSpans = [];
for (final use in construct.cappedUses) {
if (allSpans.length >= maxMessages) break;
final event = await client.getEventByConstructUse(use);
if (event == null) continue;
final spans = _buildExampleMessage(use.form, event);
if (spans != null) {
allSpans.add(spans);
}
}
return allSpans;
}
static List<InlineSpan>? _buildExampleMessage(
String? form,
PangeaMessageEvent messageEvent,
) {
PangeaToken? token;
String? text;
if (messageEvent.isAudioMessage) {
final stt = messageEvent.getSpeechToTextLocal();
if (stt == null) return null;
final tokens = stt.transcript.sttTokens.map((t) => t.token).toList();
token = tokens.firstWhereOrNull(
(token) => token.text.content == form,
);
text = stt.transcript.text;
} else {
final tokens = messageEvent.messageDisplayRepresentation?.tokens;
if (tokens == null || tokens.isEmpty) return null;
token = tokens.firstWhereOrNull(
(token) => token.text.content == form,
);
text = messageEvent.messageDisplayText;
}
if (token == null) return null;
final before = text.characters.take(token.text.offset).toString();
final after = text.characters
.skip(token.text.offset + token.text.content.characters.length)
.toString();
return [
TextSpan(text: before),
TextSpan(
text: token.text.content,
style: const TextStyle(
fontWeight: FontWeight.bold,
),
),
TextSpan(text: after),
];
}
}