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fix: deduplicate evidence refs in trend summaries

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Backend: assemble_trend_with_evidence now deduplicates document IDs
via dict.fromkeys() (the rollup code already did this, but the base
assembly didn't — same doc could appear multiple times from different
intelligence extractions).

Frontend: Trends.tsx deduplicates via Set before rendering as a safety
net for existing data already stored with duplicates.
This commit is contained in:
Celes Renata
2026-04-17 07:25:32 +00:00
parent d243142705
commit 5efccb1e03
2 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files
frontend/src/pages/Trends.tsx
+2 -2
View File
@@ -103,10 +103,10 @@ function TrendCard({ trend, onClick }: { trend: TrendSummary; onClick: () => voi
)} )}
{expanded && ( {expanded && (
<div className="mt-2 space-y-1 text-xs"> <div className="mt-2 space-y-1 text-xs">
{trend.top_supporting_evidence?.map((e, i) => ( {[...new Set(trend.top_supporting_evidence ?? [])].map((e, i) => (
<EvidenceRef key={i} id={e} direction="supporting" /> <EvidenceRef key={i} id={e} direction="supporting" />
))} ))}
{trend.top_opposing_evidence?.map((e, i) => ( {[...new Set(trend.top_opposing_evidence ?? [])].map((e, i) => (
<EvidenceRef key={i} id={e} direction="opposing" /> <EvidenceRef key={i} id={e} direction="opposing" />
))} ))}
</div> </div>
services/aggregation/worker.py
+2 -2
View File
@@ -687,8 +687,8 @@ def assemble_trend_with_evidence(
config = EvidenceRankConfig(max_refs=max_evidence) config = EvidenceRankConfig(max_refs=max_evidence)
supporting_ranked, opposing_ranked = rank_evidence_detailed(signals, config) supporting_ranked, opposing_ranked = rank_evidence_detailed(signals, config)
supporting = [r.document_id for r in supporting_ranked] supporting = list(dict.fromkeys(r.document_id for r in supporting_ranked))
opposing = [r.document_id for r in opposing_ranked] opposing = list(dict.fromkeys(r.document_id for r in opposing_ranked))
catalysts, risks = extract_catalysts_and_risks(impacts, signals) catalysts, risks = extract_catalysts_and_risks(impacts, signals)