Merge fx-1-auto-map-pk
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@@ -602,7 +602,13 @@ def _refresh_ai_rows(ctx: ExamContext, template_id: str, rows: Dict[str, List[Di
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for table in ("exam_response_areas", "exam_boundaries", "exam_template_layout", "exam_questions"):
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sb.table(table).delete().eq("template_id", template_id).eq("source", "ai").eq("confirmed", False).execute()
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for table, key in (("exam_questions", "questions"), ("exam_response_areas", "response_areas"), ("exam_boundaries", "boundaries"), ("exam_template_layout", "layout")):
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payload = _dedupe_rows_by_id(rows.get(key) or [])
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# A row that survived the delete above is confirmed-AI or manual — the teacher's curated version.
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# AI ids are a deterministic uuid5 of (template_id, semantic key), so a re-run re-emits the SAME id
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# for a confirmed ghost; re-inserting it would PK-collide and fail the whole batch. Skip those ids so
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# confirmed work is preserved and the insert is safe (fixes the re-map-after-confirm collision).
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kept = sb.table(table).select("id").eq("template_id", template_id).execute()
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kept_ids = {str(r["id"]) for r in (getattr(kept, "data", None) or []) if isinstance(r, dict) and r.get("id")}
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payload = [r for r in _dedupe_rows_by_id(rows.get(key) or []) if str(r.get("id")) not in kept_ids]
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if payload:
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sb.table(table).insert(payload).execute()
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