feat: visible per-product enrichment status, flagged re-evaluation (panel/Reprocessar/Sincronizar/KB decision), operator NCM decision, deterministic name-only match, stale-write guard; 1.3.5
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@@ -84,7 +84,39 @@ def coverage_metrics(session) -> dict:
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"provider_cache_entries": session.scalar(select(func.count()).select_from(GtinLookupCache)) or 0, "provider_cache_hit_rate": round(100 * hits / (hits + misses), 1) if (hits + misses) else None}
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def kb_summary(session) -> dict:
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def _candidate_cards(session, products) -> list[dict]:
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from ..models import Dataset, KbKnowledge, NcmEntry
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out = []
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for prod in products:
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rows = list(session.scalars(select(KbKnowledge).where(KbKnowledge.kb_product_id == prod.id, KbKnowledge.knowledge_key == "ncm")))
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cands = []
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for r in rows:
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ev = r.evidence or {}
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text = session.scalar(select(NcmEntry.description).join(Dataset).where(Dataset.kind == "NCM", Dataset.status == "ACTIVE", NcmEntry.code == r.value).limit(1))
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cands.append({"ncm": r.value, "official_text": text, "status": r.status, "clients": sorted(ev.get("clients", [])), "documents": sum(int(l.get("docs", 0)) for l in (ev.get("lineages") or {}).values()),
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"providers": sorted(f for f in (ev.get("families") or {}) if f.startswith("PROVIDER:")), "attested": (ev.get("info") or {}).get("attested_by")})
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status = "VERIFIED_KB" if any(c["status"] == "VERIFIED_KB" for c in cands) else ("CONFLICT" if any(c["status"] == "CONFLICT" for c in cands) else (cands[0]["status"] if cands else "OBSERVED"))
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out.append({"gtin": (prod.gtin or "")[-13:], "gtin_key": prod.gtin, "description": (prod.normalized_description or "")[:70], "status": status, "candidates": [c for c in cands if c["status"] != "STALE" or c["attested"] is None][:4]})
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return out
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def kb_search(session, query: str, limit: int = 6) -> list[dict]:
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from ..models import KbProduct
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from . import kb as kbm
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q = (query or "").strip()
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if not q:
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return []
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digits = "".join(ch for ch in q if ch.isdigit())
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products = []
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if len(digits) >= 8 and len(digits) == len(q.replace(" ", "")):
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p = kbm.find_by_gtin(session, digits.zfill(14))
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products = [p] if p else []
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else:
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products = kbm.name_candidates(session, q)[:limit]
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return _candidate_cards(session, products)
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def kb_summary(session, query: str | None = None) -> dict:
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"""Compact Knowledge Base panel: known products, statuses of the NCM knowledge, hits today, and the latest conflicts with their evidence (no dashboard of its own)."""
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from ..models import KbKnowledge, KbProduct
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today = datetime.now(timezone.utc).strftime("%Y-%m-%d")
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@@ -102,4 +134,4 @@ def kb_summary(session) -> dict:
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"candidates": [{"ncm": i.value, "clients": sorted({c for c in (i.evidence or {}).get("clients", [])}), "documents": sum(int(l.get("docs", 0)) for l in ((i.evidence or {}).get("lineages") or {}).values()),
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"providers": sorted(f for f in ((i.evidence or {}).get("families") or {}) if f.startswith("PROVIDER:"))} for i in items]})
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return {"products": products, "verified": by.get("VERIFIED_KB", 0), "corroborated": by.get("CORROBORATED", 0) + by.get("EXTERNAL_CORROBORATED", 0), "observed": by.get("OBSERVED", 0),
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"conflicts": by.get("CONFLICT", 0), "stale": by.get("STALE", 0), "hits_today": hits, "recent_conflicts": conflicts}
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"conflicts": by.get("CONFLICT", 0), "stale": by.get("STALE", 0), "hits_today": hits, "recent_conflicts": conflicts, "search": kb_search(session, query) if query else []}
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