You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
fluffychat/lib/pangea/events/models/representation_content_mode...

283 lines
8.8 KiB
Dart

import 'package:matrix/matrix.dart';
import 'package:fluffychat/pangea/analytics_misc/construct_type_enum.dart';
import 'package:fluffychat/pangea/analytics_misc/construct_use_type_enum.dart';
import 'package:fluffychat/pangea/analytics_misc/constructs_model.dart';
import 'package:fluffychat/pangea/choreographer/models/choreo_record.dart';
import 'package:fluffychat/pangea/choreographer/models/pangea_match_model.dart';
import 'package:fluffychat/pangea/events/models/pangea_token_model.dart';
import 'package:fluffychat/pangea/toolbar/models/speech_to_text_models.dart';
import 'package:fluffychat/widgets/matrix.dart';
2 years ago
/// this class is contained within a [RepresentationEvent]
/// this event is the child of a [EventTypes.Message]
/// the event has two potential children events -
/// [PangeaTokensEvent] and [PangeaIGCEvent]
/// these events contain [PangeaMessageTokens] and [ChoreoRecord], respectively.
class PangeaRepresentation {
/// system-detected language, possibly condensed from a list,
/// but only with high certainty
/// cannot be "unk"
String langCode;
/// final sent text
/// if this was a process, a [PangeaIGCEvent] will contain changes
String text;
bool originalSent;
bool originalWritten;
// a representation can be create via speech to text on the original message
SpeechToTextModel? speechToText;
2 years ago
// how do we know which representation was sent by author?
// RepresentationEvent.text == PangeaMessageEvent.event.body
// use: to know whether directUse
// how do we know which representation was original L1 message that was translated (if it exists)?
// (of l2 rep) RepresentationEvent.igc.steps.first.text = RepresentationEvent.text (of L1 rep)
// use: for base text for future translations
// os = true and ow = false
// rep that went through IGC/IT
// os = false and ow = false
// rep added by other user
// os = true and ow = true
// potentially L1 language use, maybe with limited IGC, and ignored out of target cries
// potentially perfect L2 use
// os = false and ow = true
// L1 message that then went through significant IGC and/or IT
// L2 message with errors that went through IGC
PangeaRepresentation({
required this.langCode,
required this.text,
required this.originalSent,
required this.originalWritten,
this.speechToText,
2 years ago
});
factory PangeaRepresentation.fromJson(Map<String, dynamic> json) {
return PangeaRepresentation(
langCode: json[_langCodeKey],
text: json[_textKey],
originalSent: json[_originalSentKey] ?? false,
originalWritten: json[_originalWrittenKey] ?? false,
speechToText: json[_speechToTextKey] == null
? null
: SpeechToTextModel.fromJson(json[_speechToTextKey]),
);
}
2 years ago
static const _textKey = "txt";
static const _langCodeKey = "lang";
static const _originalSentKey = "snt";
static const _originalWrittenKey = "wrttn";
static const _speechToTextKey = "stt";
2 years ago
Map<String, dynamic> toJson() {
final data = <String, dynamic>{};
data[_textKey] = text;
data[_langCodeKey] = langCode;
if (originalSent) data[_originalSentKey] = originalSent;
if (originalWritten) data[_originalWrittenKey] = originalWritten;
if (speechToText != null) {
data[_speechToTextKey] = speechToText!.toJson();
}
2 years ago
return data;
}
/// Get construct uses for the message that weren't captured during language assistance.
/// Takes a list of tokens and a choreo record, which is searched
/// through for each token for its construct use type.
/// Also takes either an event (typically when the Representation itself is
/// available) or construct use metadata (when the event is not available,
/// i.e. immediately after message send) to create the construct use.
List<OneConstructUse> vocabAndMorphUses({
required List<PangeaToken> tokens,
Event? event,
ConstructUseMetaData? metadata,
ChoreoRecord? choreo,
}) {
final List<OneConstructUse> uses = [];
final l2 = MatrixState.pangeaController.languageController.userL2;
if (langCode.split("-")[0] != l2?.langCodeShort) return uses;
// missing vital info so return
if (event?.roomId == null && metadata?.roomId == null) {
// debugger(when: kDebugMode);
return uses;
}
metadata ??= ConstructUseMetaData(
roomId: event!.roomId!,
eventId: event.eventId,
timeStamp: event.originServerTs,
);
// for each token, record whether selected in ga, ta, or wa
final tokensToSave =
tokens.where((token) => token.lemma.saveVocab).toList();
for (final token in tokensToSave) {
uses.addAll(
_getUsesForToken(
token,
metadata,
choreo: choreo,
),
);
}
return uses;
}
/// Returns a [OneConstructUse] for the given [token]
/// If there is no [choreo], the [token] is
/// considered to be a [ConstructUseTypeEnum.wa] as long as it matches the target language.
/// Later on, we may want to consider putting it in some category of like 'pending'
///
/// For both vocab and morph constructs, we should
/// 1) give wa if no assistance was used
/// 2) give ga if IGC was used and
/// 3) make no use if IT was used
List<OneConstructUse> _getUsesForToken(
PangeaToken token,
ConstructUseMetaData metadata, {
ChoreoRecord? choreo,
}) {
final List<OneConstructUse> uses = [];
final lemma = token.lemma;
final content = token.text.content;
if (choreo == null) {
uses.add(
OneConstructUse(
useType: ConstructUseTypeEnum.wa,
lemma: token.pos,
form: token.text.content,
category: "POS",
constructType: ConstructTypeEnum.morph,
metadata: metadata,
),
);
for (final entry in token.morph.entries) {
uses.add(
OneConstructUse(
useType: ConstructUseTypeEnum.wa,
lemma: entry.value,
form: token.text.content,
category: entry.key,
constructType: ConstructTypeEnum.morph,
metadata: metadata,
),
);
}
if (lemma.saveVocab) {
uses.add(
token.toVocabUse(
ConstructUseTypeEnum.wa,
metadata,
),
);
}
return uses;
}
for (final step in choreo.choreoSteps) {
/// if 1) accepted match 2) token is in the replacement and 3) replacement
/// is in the overall step text, then token was a ga
final bool isAcceptedMatch =
step.acceptedOrIgnoredMatch?.status == PangeaMatchStatus.accepted;
// if the token was in an IT match, return no uses
if (step.itStep != null) return [];
// if this step was not accepted, continue
if (!isAcceptedMatch) continue;
if (isAcceptedMatch &&
step.acceptedOrIgnoredMatch?.match.choices != null) {
final choices = step.acceptedOrIgnoredMatch!.match.choices!;
final bool stepContainedToken = choices.any(
(choice) =>
// if this choice contains the token's content
choice.value.contains(content),
);
if (stepContainedToken) {
// give ga if IGC was used
uses.add(
token.toVocabUse(
ConstructUseTypeEnum.ga,
metadata,
),
);
uses.add(
OneConstructUse(
useType: ConstructUseTypeEnum.ga,
lemma: token.pos,
form: token.text.content,
category: "POS",
constructType: ConstructTypeEnum.morph,
metadata: metadata,
),
);
for (final entry in token.morph.entries) {
uses.add(
OneConstructUse(
useType: ConstructUseTypeEnum.ga,
lemma: entry.value,
form: token.text.content,
category: entry.key,
constructType: ConstructTypeEnum.morph,
metadata: metadata,
),
);
}
return uses;
}
}
}
uses.add(
OneConstructUse(
useType: ConstructUseTypeEnum.wa,
lemma: token.pos,
form: token.text.content,
category: "POS",
constructType: ConstructTypeEnum.morph,
metadata: metadata,
),
);
// the token wasn't found in any IT or IGC step, so it was wa
for (final entry in token.morph.entries) {
uses.add(
OneConstructUse(
useType: ConstructUseTypeEnum.wa,
lemma: entry.value,
form: token.text.content,
category: entry.key,
constructType: ConstructTypeEnum.morph,
metadata: metadata,
),
);
}
if (lemma.saveVocab) {
uses.add(
token.toVocabUse(
ConstructUseTypeEnum.wa,
metadata,
),
);
}
return uses;
}
2 years ago
}