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fix: preserve rectification evidence flow

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This commit is contained in:
Jesse_Chen
2026-07-22 00:55:03 +08:00
parent b8ed740e71
commit b981c4ee31
7 changed files with 316 additions and 61 deletions
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frontend/src/app/api/birth-time-conversation/route.ts
+85 -53
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@@ -502,72 +502,104 @@ export async function buildProductionConversationalRectificationPacket(
const selectedRange = !input.preserveCandidateRange && eventScore?.winningSegment
? { startTime: eventScore.winningSegment.startTime, endTime: eventScore.winningSegment.endTime }
: baseRange;
const questionnaires: RectificationQuestionnaire[] = [];
for (const scanRange of boundedScanRanges(selectedRange)) {
const scanPoint = scanCoordinates(scanRange);
const { questionnaire } = await rectificationPacketStage("scan", () => engine.scan({
birthTime: `${input.declaredBirthInput.birthDate} ${scanPoint.centerTime}`,
uncertaintyMinutes: scanPoint.uncertaintyMinutes,
lat: latitude,
lon: longitude,
tz: place.timezoneOffset,
ayanamsa: "lahiri",
}));
questionnaires.push(questionnaire);
}
const questionnaire = await rectificationPacketStage(
"merge_scans",
() => mergeQuestionnaireScans(questionnaires, selectedRange),
);
const candidateDifferences = await rectificationPacketStage("candidate_differences", () => engine.buildDifferencePacket({
caseId: input.caseId,
asOfDate: input.asOfDate,
birthDate: input.declaredBirthInput.birthDate,
startTime: selectedRange.startTime,
endTime: selectedRange.endTime,
lat: latitude,
lon: longitude,
tz: place.timezoneOffset,
evidence: [],
events,
dismissedOpportunityIds: [],
questionFingerprints: [],
partitionFingerprints: [],
recentRanges: [],
candidateModel: null,
}));
const calculationVersion = eventScore
? `${candidateDifferences.packet.scoringVersion}+${eventScore.algorithmVersion}`
: candidateDifferences.packet.scoringVersion;
const metadata = layerMetadata(questionnaire, calculationVersion);
const timeLinkedScanSamples = await rectificationPacketStage(
"time_links",
() => sampleTimes(questionnaire),
);
const representative = eventScore?.winningSegment?.representativeTime
?? scanCoordinates(selectedRange).centerTime;
const { buildRectificationTechnicalPacket } = await import(
? eventScore.algorithmVersion
: null;
const technicalPacketModule = await import(
"../../../lib/conversational-rectification/technical-packet.ts"
);
return {
packet: await rectificationPacketStage("technical_packet", () => buildRectificationTechnicalPacket({
const buildForRange = async (
range: { readonly startTime: string; readonly endTime: string },
packetEventScore: CandidateResult | null,
) => {
const questionnaires: RectificationQuestionnaire[] = [];
for (const scanRange of boundedScanRanges(range)) {
const scanPoint = scanCoordinates(scanRange);
const { questionnaire } = await rectificationPacketStage("scan", () => engine.scan({
birthTime: `${input.declaredBirthInput.birthDate} ${scanPoint.centerTime}`,
uncertaintyMinutes: scanPoint.uncertaintyMinutes,
lat: latitude,
lon: longitude,
tz: place.timezoneOffset,
ayanamsa: "lahiri",
}));
questionnaires.push(questionnaire);
}
const questionnaire = await rectificationPacketStage(
"merge_scans",
() => mergeQuestionnaireScans(questionnaires, range),
);
const candidateDifferences = await rectificationPacketStage(
"candidate_differences",
() => engine.buildDifferencePacket({
caseId: input.caseId,
asOfDate: input.asOfDate,
birthDate: input.declaredBirthInput.birthDate,
startTime: range.startTime,
endTime: range.endTime,
lat: latitude,
lon: longitude,
tz: place.timezoneOffset,
evidence: [],
events,
dismissedOpportunityIds: [],
questionFingerprints: [],
partitionFingerprints: [],
recentRanges: [],
candidateModel: null,
}),
);
const version = calculationVersion
? `${candidateDifferences.packet.scoringVersion}+${calculationVersion}`
: candidateDifferences.packet.scoringVersion;
const metadata = layerMetadata(questionnaire, version);
const timeLinkedScanSamples = await rectificationPacketStage(
"time_links",
() => sampleTimes(questionnaire),
);
const representative = packetEventScore?.winningSegment?.representativeTime
?? scanCoordinates(range).centerTime;
return technicalPacketModule.buildRectificationTechnicalPacket({
scan: questionnaire,
candidateDifferences,
eventScore: input.preserveCandidateRange && eventScore
? { ...eventScore, confidence: "low", canApply: false, winningSegment: null }
: eventScore,
eventScore: packetEventScore,
consultation: {
source: "server_consultation_workflow",
calculationVersion,
calculationVersion: version,
availableLayers: metadata.availableLayers,
layerReferences: metadata.layerReferences,
timeLinkedScanSamples,
boundaryDistanceMinutes: boundaryDistance(selectedRange, representative),
boundaryDistanceMinutes: boundaryDistance(range, representative),
futureWindows: [],
},
})),
resultId: eventScore?.resultId ?? null,
});
};
const packetEventScore = input.preserveCandidateRange && eventScore
? { ...eventScore, confidence: "low" as const, canApply: false, winningSegment: null }
: eventScore;
try {
return {
packet: await buildForRange(selectedRange, packetEventScore),
resultId: eventScore?.resultId ?? null,
};
} catch (error) {
const selectedWasNarrowed = selectedRange.startTime !== baseRange.startTime
|| selectedRange.endTime !== baseRange.endTime;
if (!selectedWasNarrowed
|| !(error instanceof technicalPacketModule.RectificationTechnicalPacketRangeError)) {
return rectificationPacketStage("technical_packet", () => Promise.reject(error));
}
return {
packet: await rectificationPacketStage("technical_packet", () => buildForRange(
baseRange,
eventScore
? { ...eventScore, confidence: "low", canApply: false, winningSegment: null }
: null,
)),
resultId: null,
};
}
}
async function productionNarrativeGenerator(): Promise<RectificationNarrativeGenerator> {