gti
d21a9d1140
git-subtree-dir: fiscal git-subtree-mainline:d95165fc8fgit-subtree-split:102ba84500
175 lines
8.3 KiB
Python
175 lines
8.3 KiB
Python
"""Reference Data Registry (Missão 5, Fase 1): the NEW admin-approved ingestion workflow, separate
|
|
from central/app/datasets/service.py's existing auto-activate methods (untouched, still used by the
|
|
9 pre-existing dataset kinds). A dataset registered here lands as DRAFT and only becomes VIGENTE
|
|
(superseding the previous VIGENTE of the same kind) after an explicit ADMIN approval of the diff -
|
|
"Nenhuma versão de dataset vira 'vigente' sem aprovação ADMIN do diff" (mission rule).
|
|
"""
|
|
from __future__ import annotations
|
|
|
|
from datetime import datetime, timezone
|
|
|
|
from sqlalchemy import select, update
|
|
|
|
from .models import Dataset
|
|
|
|
STATUSES = ("DRAFT", "APPROVED", "VIGENTE", "ACTIVE", "OBSOLETO", "SUPERSEDED", "REJECTED")
|
|
VIGENTE_STATUSES = ("VIGENTE", "ACTIVE")
|
|
|
|
|
|
class RegistryError(Exception):
|
|
pass
|
|
|
|
|
|
def register_draft(session, *, kind: str, provider: str, source_url: str, sha256: str, version_label: str,
|
|
act: str = "", valid_from: str | None = None, valid_to: str | None = None, record_count: int = 0,
|
|
parse_errors: dict | None = None, licence_terms: str | None = None, raw_file_path: str | None = None,
|
|
file_size_bytes: int | None = None, submitted_by: str | None = None) -> Dataset:
|
|
"""Registers a new dataset submission as DRAFT. If this exact (provider, sha256) already exists
|
|
under ANY status, returns it unchanged (idempotent re-submission of an unchanged official file -
|
|
e.g. re-downloading the same official NCM table produces byte-identical content) instead of
|
|
creating a duplicate row (the (provider, sha256) constraint would refuse it anyway)."""
|
|
existing = session.scalar(select(Dataset).where(Dataset.provider == provider, Dataset.sha256 == sha256))
|
|
if existing:
|
|
return existing
|
|
dataset = Dataset(kind=kind, provider=provider, sha256=sha256, version_label=version_label, act=act, source_url=source_url,
|
|
downloaded_at=datetime.now(timezone.utc), status="DRAFT", record_count=record_count, licence_terms=licence_terms,
|
|
valid_from=valid_from, valid_to=valid_to, file_size_bytes=file_size_bytes, raw_file_path=raw_file_path,
|
|
parse_errors=parse_errors or {}, submitted_by=submitted_by)
|
|
session.add(dataset)
|
|
session.commit()
|
|
return dataset
|
|
|
|
|
|
def diff_against_vigente(session, dataset: Dataset) -> dict:
|
|
"""A summary an ADMIN reviews before approving: what the current VIGENTE of the same kind looks
|
|
like vs this DRAFT - never the row-by-row content (that lives in the kind-specific entry tables),
|
|
just the registry-level facts that matter for an approval decision."""
|
|
current = session.scalar(select(Dataset).where(Dataset.kind == dataset.kind, Dataset.status.in_(VIGENTE_STATUSES)).order_by(Dataset.id.desc()))
|
|
return {
|
|
"kind": dataset.kind,
|
|
"draft": {"id": dataset.id, "version_label": dataset.version_label, "sha256": dataset.sha256, "record_count": dataset.record_count,
|
|
"valid_from": dataset.valid_from, "valid_to": dataset.valid_to, "parse_errors": dataset.parse_errors},
|
|
"current_vigente": None if current is None else {"id": current.id, "version_label": current.version_label, "sha256": current.sha256,
|
|
"record_count": current.record_count, "valid_from": current.valid_from, "valid_to": current.valid_to},
|
|
"record_count_delta": None if current is None else dataset.record_count - current.record_count,
|
|
"is_first_version": current is None,
|
|
"sha256_unchanged": current is not None and current.sha256 == dataset.sha256,
|
|
}
|
|
|
|
|
|
KNOWN_SAMPLES_BY_KIND = {
|
|
"NCM": [
|
|
("01012100", "Reprodutores de raça pura (cavalos)"),
|
|
("02071400", "Carnes e miudezas de aves (desdobrado/histórico)"),
|
|
("22021000", "Águas minerais adicionadas de açúcar/aromatizantes"),
|
|
("84713012", "Máquinas automáticas para processamento de dados"),
|
|
("10061092", "Arroz com casca, não parboilizado"),
|
|
],
|
|
"TIPI_IPI": [
|
|
("22021000", "Refrigerantes / águas gaseificadas"),
|
|
("84713012", "Notebooks / computadores portáteis"),
|
|
("21069090", "Preparações alimentícias diversas"),
|
|
("02071400", "Carnes de frango congeladas"),
|
|
("22030000", "Cervejas de malte"),
|
|
],
|
|
"CEST": [
|
|
("01.001.00", "Autopeças - Motores e peças"),
|
|
("03.021.03", "Cervejas e chopes"),
|
|
("17.001.00", "Produtos alimentícios - Carnes"),
|
|
("28.001.00", "Venda porta a porta"),
|
|
("10.001.00", "Materiais de construção"),
|
|
],
|
|
"CFOP": [
|
|
("5102", "Venda de mercadoria de terceiros"),
|
|
("5405", "Venda de mercadoria com ST retido"),
|
|
("1102", "Compra para comercialização"),
|
|
("1403", "Compra para comercialização com ST"),
|
|
("5929", "Lançamento relativo a Cupom Fiscal"),
|
|
],
|
|
"NFE_MOC_TABLES": [
|
|
("ORIGEM 0", "Nacional"),
|
|
("CST_ICMS 00", "Tributada integralmente"),
|
|
("CSOSN 102", "Tributada Simples sem crédito"),
|
|
("CST_PIS 01", "Operação tributável alíquota básica"),
|
|
("CST_IPI 50", "Saída tributada"),
|
|
],
|
|
}
|
|
|
|
|
|
def technical_checklist(session, dataset: Dataset) -> dict:
|
|
"""Checklist técnico objetivo para o operador aprovar sem exigir interpretação fiscal."""
|
|
diff = diff_against_vigente(session, dataset)
|
|
expected_rows = {
|
|
"NCM": 15000,
|
|
"TIPI_IPI": 10000,
|
|
"CEST": 1000,
|
|
"BA_ST_MVA": 700,
|
|
"NFE_MOC_TABLES": 100,
|
|
"CFOP": 500,
|
|
"FCP": 27,
|
|
"ANP": 150,
|
|
"NCM_UTRIB": 10000,
|
|
}.get(dataset.kind, 1)
|
|
|
|
lines_ok = dataset.record_count >= expected_rows
|
|
samples = KNOWN_SAMPLES_BY_KIND.get(dataset.kind, [("Amostra 1", "Registro conhecido"), ("Amostra 2", "Registro conhecido")])[:5]
|
|
|
|
return {
|
|
"official_source": {
|
|
"provider": dataset.provider,
|
|
"url": dataset.source_url,
|
|
"act": dataset.act or "Ato normativo oficial",
|
|
"passed": bool(dataset.provider and dataset.source_url),
|
|
},
|
|
"integrity": {
|
|
"sha256": dataset.sha256,
|
|
"file_size_bytes": dataset.file_size_bytes,
|
|
"passed": len(dataset.sha256 or "") == 64,
|
|
},
|
|
"volume": {
|
|
"record_count": dataset.record_count,
|
|
"expected_minimum": expected_rows,
|
|
"passed": lines_ok,
|
|
},
|
|
"samples": samples,
|
|
"diff": diff,
|
|
"no_parse_errors": not bool(dataset.parse_errors),
|
|
"ready_to_approve": lines_ok and len(dataset.sha256 or "") == 64 and not bool(dataset.parse_errors),
|
|
}
|
|
|
|
|
|
def approve_draft(session, dataset_id: int, *, admin_name: str) -> Dataset:
|
|
"""DRAFT -> VIGENTE, superseding the previous VIGENTE of the same kind (OBSOLETO, never deleted).
|
|
Refuses a dataset that isn't DRAFT, and refuses a dataset with recorded parse errors (must be
|
|
re-submitted clean - an ADMIN cannot approve past a known parsing problem)."""
|
|
dataset = session.get(Dataset, dataset_id)
|
|
if dataset is None:
|
|
raise RegistryError("dataset not found")
|
|
if dataset.status != "DRAFT":
|
|
raise RegistryError(f"only a DRAFT dataset can be approved (current status: {dataset.status})")
|
|
if dataset.parse_errors:
|
|
raise RegistryError("dataset has recorded parse errors - re-submit a clean version")
|
|
session.execute(update(Dataset).where(Dataset.kind == dataset.kind, Dataset.status.in_(VIGENTE_STATUSES)).values(status="OBSOLETO"))
|
|
dataset.status = "VIGENTE"
|
|
dataset.approved_by = admin_name
|
|
dataset.approved_at = datetime.now(timezone.utc)
|
|
session.commit()
|
|
return dataset
|
|
|
|
|
|
def reject_draft(session, dataset_id: int, *, admin_name: str) -> Dataset:
|
|
dataset = session.get(Dataset, dataset_id)
|
|
if dataset is None:
|
|
raise RegistryError("dataset not found")
|
|
if dataset.status != "DRAFT":
|
|
raise RegistryError(f"only a DRAFT dataset can be rejected (current status: {dataset.status})")
|
|
dataset.status = "REJECTED"
|
|
dataset.approved_by = admin_name
|
|
dataset.approved_at = datetime.now(timezone.utc)
|
|
session.commit()
|
|
return dataset
|
|
|
|
|
|
def list_registry(session) -> list[Dataset]:
|
|
return list(session.scalars(select(Dataset).where(Dataset.status.in_(STATUSES)).order_by(Dataset.kind, Dataset.downloaded_at.desc())))
|