* fix: emit granular IGC/IT use types instead of collapsed ga/ta * formatting * fix linter issues with deprecated use types * fix: don't add match viewing update to choreo record, don't flatten token IGC uses into a single type * break vocabAndMorphUses down into smaller functions * filter viewed choreo steps when getting uses from choreo --------- Co-authored-by: ggurdin <ggurdin@gmail.com>
304 lines
9.5 KiB
Dart
304 lines
9.5 KiB
Dart
import 'package:matrix/matrix.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/choreo_record_model.dart';
|
|
import 'package:fluffychat/pangea/choreographer/completed_it_step_model.dart';
|
|
import 'package:fluffychat/pangea/choreographer/igc/pangea_match_model.dart';
|
|
import 'package:fluffychat/pangea/choreographer/igc/pangea_match_status_enum.dart';
|
|
import 'package:fluffychat/pangea/choreographer/igc/span_choice_type_enum.dart';
|
|
import 'package:fluffychat/pangea/events/models/pangea_token_model.dart';
|
|
import 'package:fluffychat/pangea/speech_to_text/speech_to_text_response_model.dart';
|
|
import 'package:fluffychat/widgets/matrix.dart';
|
|
|
|
/// 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 [ChoreoRecordModel], 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
|
|
SpeechToTextResponseModel? speechToText;
|
|
|
|
// 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,
|
|
});
|
|
|
|
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
|
|
: SpeechToTextResponseModel.fromJson(json[_speechToTextKey]),
|
|
);
|
|
}
|
|
|
|
static const _textKey = "txt";
|
|
static const _langCodeKey = "lang";
|
|
static const _originalSentKey = "snt";
|
|
static const _originalWrittenKey = "wrttn";
|
|
static const _speechToTextKey = "stt";
|
|
|
|
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();
|
|
}
|
|
return data;
|
|
}
|
|
|
|
bool get langCodeMatchesL2 =>
|
|
langCode.split("-").first ==
|
|
MatrixState.pangeaController.userController.userL2?.langCodeShort;
|
|
|
|
/// 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,
|
|
ChoreoRecordModel? choreo,
|
|
}) {
|
|
// missing vital info so return
|
|
if (event?.roomId == null && metadata?.roomId == null) {
|
|
// debugger(when: kDebugMode);
|
|
return [];
|
|
}
|
|
|
|
metadata ??= ConstructUseMetaData(
|
|
roomId: event!.roomId!,
|
|
eventId: event.eventId,
|
|
timeStamp: event.originServerTs,
|
|
);
|
|
|
|
final tokensToSave = _filterTokensToSave(tokens, choreo);
|
|
|
|
final List<OneConstructUse> uses = [];
|
|
if (choreo == null || choreo.choreoSteps.isEmpty) {
|
|
for (final token in tokensToSave) {
|
|
uses.addAll(
|
|
token.allUses(
|
|
ConstructUseTypeEnum.wa,
|
|
metadata,
|
|
ConstructUseTypeEnum.wa.pointValue,
|
|
),
|
|
);
|
|
}
|
|
return uses;
|
|
}
|
|
|
|
for (final token in tokensToSave) {
|
|
final step = _getStepForToken(token, choreo);
|
|
uses.addAll(_getUsesForToken(token, metadata, step));
|
|
}
|
|
|
|
return uses;
|
|
}
|
|
|
|
List<PangeaToken> _filterTokensToSave(
|
|
List<PangeaToken> tokens,
|
|
ChoreoRecordModel? choreo,
|
|
) {
|
|
final List<PangeaToken> tokensToSave = tokens
|
|
.where((token) => token.lemma.saveVocab)
|
|
.toList();
|
|
|
|
final pastedStrings = choreo?.pastedStrings ?? <String>{};
|
|
|
|
return tokensToSave
|
|
.where(
|
|
(token) => !pastedStrings.any(
|
|
(pasted) =>
|
|
pasted.toLowerCase().contains(token.text.content.toLowerCase()),
|
|
),
|
|
)
|
|
.toList();
|
|
}
|
|
|
|
ChoreoRecordStepModel? _getStepForToken(
|
|
PangeaToken token,
|
|
ChoreoRecordModel choreo,
|
|
) {
|
|
ChoreoRecordStepModel? tokenStep;
|
|
for (final step in choreo.choreoSteps) {
|
|
final igcMatch = step.acceptedOrIgnoredMatch;
|
|
final itStep = step.itStep;
|
|
if (itStep == null &&
|
|
(igcMatch == null ||
|
|
igcMatch.status == PangeaMatchStatusEnum.viewed)) {
|
|
continue;
|
|
}
|
|
|
|
final choices = step.choices;
|
|
if (choices == null || choices.isEmpty) {
|
|
continue;
|
|
}
|
|
|
|
final stepContainsToken =
|
|
step.selectedChoice?.contains(token.text.content) == true;
|
|
|
|
// if the step contains the token, and the token hasn't been assigned a step
|
|
// (or the assigned step is an IGC step, but an IT step contains the token)
|
|
// then assign the token to the step
|
|
if (stepContainsToken &&
|
|
(tokenStep == null ||
|
|
(tokenStep.itStep == null && step.itStep != null))) {
|
|
tokenStep = step;
|
|
}
|
|
}
|
|
return tokenStep;
|
|
}
|
|
|
|
List<OneConstructUse> _getUsesForToken(
|
|
PangeaToken token,
|
|
ConstructUseMetaData metadata,
|
|
ChoreoRecordStepModel? tokenStep,
|
|
) {
|
|
if (tokenStep == null ||
|
|
tokenStep.acceptedOrIgnoredMatch?.status ==
|
|
PangeaMatchStatusEnum.automatic) {
|
|
// if the token wasn't found in any IT or IGC step, so it was wa
|
|
return token.allUses(
|
|
ConstructUseTypeEnum.wa,
|
|
metadata,
|
|
ConstructUseTypeEnum.wa.pointValue,
|
|
);
|
|
}
|
|
|
|
if (tokenStep.acceptedOrIgnoredMatch != null &&
|
|
tokenStep.acceptedOrIgnoredMatch?.status !=
|
|
PangeaMatchStatusEnum.accepted) {
|
|
return token.allUses(ConstructUseTypeEnum.ignIGC, metadata, 0);
|
|
}
|
|
|
|
if (tokenStep.itStep != null) {
|
|
return _getUsesForITToken(token, tokenStep.itStep!, metadata);
|
|
} else if (tokenStep.acceptedOrIgnoredMatch!.match.choices != null) {
|
|
return _getUsesForIGCToken(
|
|
token,
|
|
tokenStep.acceptedOrIgnoredMatch!,
|
|
metadata,
|
|
);
|
|
}
|
|
|
|
return [];
|
|
}
|
|
|
|
List<OneConstructUse> _getUsesForITToken(
|
|
PangeaToken token,
|
|
CompletedITStepModel itStep,
|
|
ConstructUseMetaData metadata,
|
|
) {
|
|
final selectedChoices = itStep.continuances.where(
|
|
(choice) => choice.wasClicked,
|
|
);
|
|
|
|
if (selectedChoices.isEmpty) {
|
|
return token.allUses(ConstructUseTypeEnum.ignIt, metadata, 0);
|
|
}
|
|
|
|
final numCorrectChoices = selectedChoices
|
|
.where((choice) => choice.gold)
|
|
.length;
|
|
|
|
final numIncorrectChoices = selectedChoices.length - numCorrectChoices;
|
|
return [
|
|
if (numCorrectChoices > 0)
|
|
...token.allUses(
|
|
ConstructUseTypeEnum.corIt,
|
|
metadata,
|
|
ConstructUseTypeEnum.corIt.pointValue * numCorrectChoices,
|
|
),
|
|
if (numIncorrectChoices > 0)
|
|
...token.allUses(
|
|
ConstructUseTypeEnum.incIt,
|
|
metadata,
|
|
ConstructUseTypeEnum.incIt.pointValue * numIncorrectChoices,
|
|
),
|
|
];
|
|
}
|
|
|
|
List<OneConstructUse> _getUsesForIGCToken(
|
|
PangeaToken token,
|
|
PangeaMatch match,
|
|
ConstructUseMetaData metadata,
|
|
) {
|
|
final selectedChoices = match.match.choices!.where(
|
|
(choice) => choice.selected,
|
|
);
|
|
|
|
if (selectedChoices.isEmpty) {
|
|
return token.allUses(ConstructUseTypeEnum.ignIGC, metadata, 0);
|
|
}
|
|
|
|
final numCorrectChoices = selectedChoices
|
|
.where((choice) => choice.type.isSuggestion)
|
|
.length;
|
|
|
|
final numIncorrectChoices = selectedChoices.length - numCorrectChoices;
|
|
|
|
return [
|
|
if (numCorrectChoices > 0)
|
|
...token.allUses(
|
|
ConstructUseTypeEnum.corIGC,
|
|
metadata,
|
|
ConstructUseTypeEnum.corIGC.pointValue * numCorrectChoices,
|
|
),
|
|
if (numIncorrectChoices > 0)
|
|
...token.allUses(
|
|
ConstructUseTypeEnum.incIGC,
|
|
metadata,
|
|
ConstructUseTypeEnum.incIGC.pointValue * numIncorrectChoices,
|
|
),
|
|
];
|
|
}
|
|
}
|