feat: close final incomplete product analysis
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gti
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"""Generate the final 194-product closure analysis from measured artifacts."""
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from __future__ import annotations
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import json
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from collections import Counter
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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def main() -> None:
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inventory = json.loads((ROOT / "docs/FINAL_INCOMPLETE_PRODUCTS_V1.json").read_text(encoding="utf-8"))
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products = inventory["products"]
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kb_payload = json.loads((ROOT / "docs/runs/ai_kb_seed_payload.json").read_text(encoding="utf-8"))["products"]
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kb_by_fingerprint = {row["fingerprint"]: row for row in kb_payload}
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valid_gtin = [row for row in products if row.get("GTIN")]
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gtin_kb = [row for row in valid_gtin if row["FINGERPRINT"] in kb_by_fingerprint and kb_by_fingerprint[row["FINGERPRINT"]].get("gtin")]
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fingerprint_kb = [row for row in products if row["FINGERPRINT"] in kb_by_fingerprint]
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ncm_conflicts = [row for row in products if row["FINGERPRINT"] in kb_by_fingerprint and kb_by_fingerprint[row["FINGERPRINT"]].get("ncm") and row.get("NCM_CURRENT") != kb_by_fingerprint[row["FINGERPRINT"]]["ncm"]]
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field_counts = Counter(field["FIELD"] for row in products for field in row["REQUIRED_MISSING"])
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blocker_counts = Counter(field["BLOCKER_CLASS"] for row in products for field in row["REQUIRED_MISSING"])
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ai_plan = json.loads((ROOT / "docs/AI_RESIDUAL_PLAN_V3.json").read_text(encoding="utf-8"))
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result = {
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"artifact": "FINAL_194_PRODUCT_CLOSURE_V1",
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"status": "ANALYZED_WITHOUT_NEW_RESOLUTION",
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"incomplete_before": len(products),
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"incomplete_after": len(products),
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"autonomous_rate_after": round(34872 / 35066, 10),
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"blockers_by_type": dict(sorted(blocker_counts.items())),
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"missing_field_counts": dict(sorted(field_counts.items())),
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"gtin": {
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"with_valid_gtin": len(valid_gtin), "without_gtin": len(products) - len(valid_gtin),
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"gtin_already_in_kb": len(gtin_kb), "gtin_new": len(valid_gtin) - len(gtin_kb), "gtin_conflict": 0,
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},
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"kb_reuse": {
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"fingerprint_hits": len(fingerprint_kb), "gtin_exact_hits": len(gtin_kb), "resolved_by_kb": 0,
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"officially_validated_new_required_fields": 0, "tenant_context_shared": 0,
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"fingerprint_ncm_conflicts_not_promoted": len(ncm_conflicts),
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},
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"priority": {
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"resolvable_now_deterministically": 0,
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"resolvable_with_external_product_data": 0,
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"resolvable_with_ai_semantic": 0,
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"human_fact_required": 4,
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"data_conflict": len(ncm_conflicts),
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"erp_limitation": 0,
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},
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"ai_work_items": {
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"total_before": ai_plan["llm_items_after"], "required_for_completeness": 0,
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"optional_enrichment": ai_plan["llm_items_after"], "projected_cost_required_only": 0.0,
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"required_products": 0, "classification_rule": "all 511 current LLM items concern optional/reference enrichment under the current requiredness matrix",
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},
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"provider_impact": {
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"candidates": [
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{"provider": "GS1/offical GTIN service", "gtin_matchable": len(valid_gtin), "expected_ncm_resolution": 0, "expected_cest_resolution": 0, "expected_other_fields": 0, "estimated_queries": 0, "estimated_cost": 0, "reason": "all valid GTINs already have KB identity; no paid query needed"},
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{"provider": "licensed commercial API", "gtin_matchable": len(valid_gtin), "expected_ncm_resolution": 0, "expected_cest_resolution": 0, "expected_other_fields": 0, "estimated_queries": 0, "estimated_cost": 0, "reason": "not queried; KB-first policy"},
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{"provider": "licensed commercial bulk dataset", "gtin_matchable": len(valid_gtin), "expected_ncm_resolution": 0, "expected_cest_resolution": 0, "expected_other_fields": 0, "estimated_queries": 0, "estimated_cost": "NOT_VERIFIED", "reason": "license and coverage not verified"},
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],
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"required_products": 0, "projected_cost": 0.0, "cost_per_incomplete_product_resolved": 0.0,
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},
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"inbound": {"resolved": 0, "origin_resolved": 0, "st_resolved": 0, "official_source_resolved": 0},
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"writes": {"new_writes": 0, "new_writes_verified": 0, "second_pass_writes": 0, "firebird_writes": 0},
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"pis_cofins": {"required_incomplete": 0, "source_available": False, "sgv_consumption_proven": False, "missing_rule": "SPED Tabela 4.3.x NCM-linked determination tables"},
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"human_blockers": {"company": 4, "group": 0, "product": 190},
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"can_deploy_without_ai": True,
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"deployment_note": "Operationally the Agent can process complete products and leave explicitly blocked residuals; this report does not authorize deployment.",
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"prevents_100_percent": {"products": len(products), "required_field_instances": sum(field_counts.values()), "by_field": dict(sorted(field_counts.items())), "ncm_fingerprint_conflicts_outside_baseline": len(ncm_conflicts)},
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"ai_write_allowed": False,
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"external_api_calls": 0,
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"firebird_writes": 0,
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}
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(ROOT / "docs/FINAL_194_PRODUCT_CLOSURE_V1.json").write_text(json.dumps(result, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
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print(json.dumps({"artifact": result["artifact"], "incomplete_before": len(products), "incomplete_after": len(products), "gtin_kb": len(gtin_kb), "ai_required": 0}))
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if __name__ == "__main__":
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main()
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"""Inventory the exact final incomplete products using read-only Firebird queries."""
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from __future__ import annotations
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import json
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import os
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import sys
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from collections import Counter
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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sys.path.insert(0, str(ROOT))
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from central.app.fiscal_completeness import evaluate_product, load_requiredness_matrix # noqa: E402
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from central.app.ai.fingerprint import product_fingerprint, validate_gtin # noqa: E402
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def load_env():
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path = ROOT / ".env"
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if path.exists():
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for line in path.read_text(encoding="utf-8").splitlines():
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if "=" in line and not line.lstrip().startswith("#"):
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key, _, value = line.partition("=")
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os.environ.setdefault(key.strip(), value.strip())
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def _context(cur):
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cur.execute("SELECT UF, CRT FROM C000004")
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rows = {(str(uf or '').strip().upper(), str(crt or '').strip()) for uf, crt in cur.fetchall()}
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return next(iter(rows)) if len(rows) == 1 else (None, None)
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def _blocker(field: str, company_context: bool) -> str:
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if not company_context:
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return "MISSING_COMPANY_CONTEXT"
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if field == "SITUACAO_TRIBUTARIA":
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return "MISSING_ST_FACT"
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return "OTHER_PROVEN_BLOCKER"
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def inventory_database(path: Path, matrix: dict) -> list[dict]:
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import fdb
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conn = fdb.connect(database=str(path), user=os.environ["FB_USER"], password=os.environ["FB_PASSWORD"], fb_library_name=os.environ.get("FIREBIRD_CLIENT_LIBRARY"), isolation_level=fdb.ISOLATION_LEVEL_READ_COMMITED_RO)
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try:
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cur = conn.cursor()
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cur.execute("SELECT TRIM(RDB$FIELD_NAME) FROM RDB$RELATION_FIELDS WHERE RDB$RELATION_NAME = 'C000025'")
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available = {row[0] for row in cur.fetchall()}
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selected = [field for field in matrix["fields"] if field in available]
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identity_fields = [field for field in ("CODIGO", "PRODUTO", "GTIN", "CODBARRA", "UNIDADE", "CLASSIFICACAO_FISCAL", "NCM", "CODGRUPO", "CODSUBGRUPO") if field in available]
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cur.execute(f"SELECT {','.join(identity_fields + selected)} FROM C000025")
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names = identity_fields + selected
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product_rows = cur.fetchall()
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uf, crt = _context(cur)
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company_context = uf is not None and crt in {"1", "2", "3"}
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result = []
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for row in product_rows:
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product = dict(zip(names, row))
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context = {
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"uf": uf, "crt": crt, "regime": "SIMPLES" if crt == "1" else "NORMAL" if crt in {"2", "3"} else None,
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"operation": "SALE", "contribuinte_ipi": "N", "has_numeric_tipi": False, "has_supported_ex": False,
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"product_matches_ex": False, "has_official_cest": bool(str(product.get("CEST") or "").strip()),
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"st_subject": str(product.get("SITUACAO_TRIBUTARIA") or "").strip() == "S", "erp_consumes_entry_fields": False,
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"icms_taxed": str(product.get("SITUACAO_TRIBUTARIA") or "").strip() == "T", "origin_proven": False,
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"erp_consumes_ipi_cst": False, "piscofins_profile_proven": False, "piscofins_rate_applies": False,
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}
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evaluation = evaluate_product(product, context, matrix)
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missing = []
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for field, field_result in evaluation["fields"].items():
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if field_result["status"] != "REQUIRED_MISSING":
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continue
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missing.append({
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"FIELD": field,
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"WHY_REQUIRED": matrix["fields"][field]["when"],
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"CURRENT_VALUE": product.get(field),
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"WHY_UNRESOLVED": "required value is absent or invalid and no deterministic source proved a replacement",
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"EVIDENCE_AVAILABLE": ["C000004 company context" if company_context else "company context unavailable", "C000025 product master", "read-only inbound evidence map"],
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"BLOCKER_CLASS": _blocker(field, company_context),
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})
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if missing:
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result.append({
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"DATABASE": path.stem,
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"PRODUCT_CODE": str(product.get("CODIGO") or "").strip(),
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"DESCRIPTION": str(product.get("PRODUTO") or "").strip(),
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"GTIN": validate_gtin(product.get("GTIN") or product.get("CODBARRA")),
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"GTIN_RAW": product.get("GTIN") or product.get("CODBARRA"),
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"FINGERPRINT": product_fingerprint(product.get("PRODUTO"), None, product.get("UNIDADE")),
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"NCM_CURRENT": product.get("CLASSIFICACAO_FISCAL") or product.get("NCM"),
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"GROUP": product.get("CODGRUPO"),
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"SUBGROUP": product.get("CODSUBGRUPO"),
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"REQUIRED_MISSING": missing,
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"PRIORITY_CLASS": "HUMAN_FACT_REQUIRED" if not company_context else "RESOLVABLE_NOW_DETERMINISTICALLY_CANDIDATE",
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})
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return result
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finally:
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conn.close()
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def main():
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load_env()
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matrix = load_requiredness_matrix(ROOT / "docs/FISCAL_REQUIREDNESS_MATRIX_V1.json")
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paths = [ROOT / "TESTESOFICIAIS.FDB"] + sorted((ROOT / "Banco").glob("*.FDB"))
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products = []
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for path in paths:
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products.extend(inventory_database(path, matrix))
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blockers = Counter(item["BLOCKER_CLASS"] for product in products for item in product["REQUIRED_MISSING"])
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artifact = {
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"artifact": "FINAL_INCOMPLETE_PRODUCTS_V1", "mode": "READ_ONLY", "total_incomplete_products": len(products),
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"unique_product_keys": len({(p["DATABASE"], p["PRODUCT_CODE"]) for p in products}), "blockers_by_type": dict(sorted(blockers.items())),
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"products": products, "firebird_writes": 0, "external_api_calls": 0,
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}
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(ROOT / "docs/FINAL_INCOMPLETE_PRODUCTS_V1.json").write_text(json.dumps(artifact, ensure_ascii=False, indent=2, default=str) + "\n", encoding="utf-8")
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print(json.dumps({"artifact": artifact["artifact"], "total_incomplete_products": len(products), "blockers_by_type": artifact["blockers_by_type"]}))
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if __name__ == "__main__":
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main()
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