gti
d21a9d1140
git-subtree-dir: fiscal git-subtree-mainline:d95165fc8fgit-subtree-split:102ba84500
239 lines
10 KiB
Python
239 lines
10 KiB
Python
"""Extract small national fiscal code domains (Origem da Mercadoria, CST ICMS,
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CSOSN, CST PIS, CST COFINS) directly from the official Receita Federal /
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ENCAT "MOC — Anexo I, Leiaute e Regras de Validação da NF-e e da NFC-e"
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technical manual (the same document, and the same domain values, referenced
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by the SPED Guia Prático EFD-Contribuições for CST PIS/COFINS — see
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docs/SOURCE_REGISTRY_V1.md).
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These domains have no separate machine-readable spreadsheet published; the
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manual's own field-level text is the authoritative enumeration. Every entry
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keeps its source_section (page number) so provenance is auditable back to
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the exact page of the exact PDF (identified by sha256).
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Never invents a description: where the source only gives a combined phrase
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for several codes together (e.g. CST ICMS 40/41/50, or CSOSN 102/103/300/400),
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that is what gets stored — split further only where the document itself
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states the individual mapping elsewhere (quoted in comments below).
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"""
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import re
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from dataclasses import dataclass, field
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from hashlib import sha256
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from pathlib import Path
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@dataclass(frozen=True)
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class CodeEntry:
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domain: str
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code: str
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description: str
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source_section: str
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metadata: dict = field(default_factory=dict)
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@dataclass(frozen=True)
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class MocTablesPayload:
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sha256: str
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entries: tuple # tuple[CodeEntry, ...]
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parser_version: str = "moc7-tables-v1"
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def _page_texts(pdf_bytes: bytes) -> list[str]:
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import pdfplumber
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from io import BytesIO
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with pdfplumber.open(BytesIO(pdf_bytes)) as pdf:
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return [page.extract_text() or "" for page in pdf.pages]
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def _joined(pages: list[str]) -> str:
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return "\n".join(f"@@PAGE{i + 1}@@\n{text}" for i, text in enumerate(pages))
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def _page_of(full_text: str, index: int) -> int:
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marker = full_text.rfind("@@PAGE", 0, index)
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if marker == -1:
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return 0
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end = full_text.find("@@", marker + 2)
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return int(full_text[marker + 6:end])
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def _extract_origem(full_text: str) -> list[CodeEntry]:
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match = re.search(
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r"Origem da mercadoria E N02 N 1-1 1 (.+?)167 N12",
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full_text,
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re.S,
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)
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if not match:
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raise ValueError("ORIGEM field text not found in MOC source")
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block = " ".join(match.group(1).split())
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page = _page_of(full_text, match.start())
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entries = []
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for item in re.finditer(r"(\d)\s*-\s*(.+?)(?=[;.]\s*\d\s*-|[;.]\s*$|\Z)", block):
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code, desc = item.group(1), item.group(2).strip().rstrip(";.").strip()
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entries.append(CodeEntry("ORIGEM_MERCADORIA", code, desc, f"MOC7 p.{page}"))
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if len(entries) < 9:
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raise ValueError(f"expected 9 ORIGEM codes (0-8), found {len(entries)}")
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return entries
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def _extract_cst_icms(full_text: str) -> list[CodeEntry]:
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entries = {}
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for m in re.finditer(r"Grupo Tributa..o (?:do )?ICMS\s*=\s*([\d, ]+?)\s*CG\s*N01\s*1-1\s*([^\n]+)", full_text):
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codes_raw, desc = m.group(1), m.group(2).strip()
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page = _page_of(full_text, m.start())
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codes = [c.strip() for c in codes_raw.replace(" e ", ",").split(",") if c.strip()]
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if len(codes) == 1:
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entries.setdefault(codes[0], CodeEntry("CST_ICMS", codes[0], desc, f"MOC7 p.{page}"))
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else:
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# Combined group (40, 41, 50 = "Isenta, Não tributada ou Suspensão"),
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# split 1:1 only because the source lists both in the same left-to-right order.
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parts = [p.strip() for p in re.split(r",| ou ", desc.replace("Tributação ", "").strip()) if p.strip()]
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for code, part in zip(codes, parts if len(parts) == len(codes) else [desc] * len(codes)):
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entries.setdefault(code, CodeEntry("CST_ICMS", code, part, f"MOC7 p.{page}", {"combined_source_phrase": desc}))
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if len(entries) < 11:
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raise ValueError(f"expected at least 11 CST_ICMS codes, found {len(entries)}: {sorted(entries)}")
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return list(entries.values())
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def _extract_csosn(full_text: str) -> list[CodeEntry]:
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entries = {}
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for m in re.finditer(r"Simples Nacional e CSOSN\s*=\s*([\d, ou]+?)\s*CG\s*N\w+\s*1-1\s*([^\n]+(?:\n(?!\d+ N\w+)[^\n]+)?)", full_text):
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codes_raw, desc = m.group(1), " ".join(m.group(2).split())
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page = _page_of(full_text, m.start())
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codes = [c.strip() for c in re.split(r",| ou ", codes_raw) if c.strip()]
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for code in codes:
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entries.setdefault(code, CodeEntry("CSOSN", code, desc, f"MOC7 p.{page}", {"combined_source_phrase": desc} if len(codes) > 1 else {}))
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# The document additionally disambiguates 103/300/400 individually in an
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# exception clause elsewhere; prefer that more specific wording when found.
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specific = re.search(
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r"CST=40-Isenta ou CSOSN=103-(\w+)\), imunes ou n.o tributadas \(CST=41-\s*N.o tributada, ou CSOSN=300-(\w+), ou CSOSN=400-(N.o tributada pelo\s*Simples Nacional)",
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full_text,
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)
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if specific:
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page = _page_of(full_text, specific.start())
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entries["103"] = CodeEntry("CSOSN", "103", specific.group(1), f"MOC7 p.{page}")
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entries["300"] = CodeEntry("CSOSN", "300", specific.group(2), f"MOC7 p.{page}")
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entries["400"] = CodeEntry("CSOSN", "400", " ".join(specific.group(3).split()), f"MOC7 p.{page}")
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if len(entries) < 10:
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raise ValueError(f"expected at least 10 CSOSN codes, found {len(entries)}: {sorted(entries)}")
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return list(entries.values())
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# Codes confirmed identical, character-for-character, between the CST PIS (Q06)
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# and CST COFINS (S06) field definitions in this document, but that fall on a
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# page boundary the automated block-scanner below misses. Quoted directly from
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# the source text (see central/tests for the page numbers).
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_CST_PIS_COFINS_PATCH = {
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"01": "Operação Tributável (base de cálculo = valor da operação alíquota normal (cumulativo/não cumulativo))",
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"03": "Operação Tributável (base de cálculo = quantidade vendida x alíquota por unidade de produto)",
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"04": "Operação Tributável (tributação monofásica (alíquota zero))",
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"49": "Outras Operações de Saída",
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}
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def _extract_cst_pis_cofins(full_text: str, tax_label: str, domain: str) -> list[CodeEntry]:
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entries = {}
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pattern = re.compile(r"C.digo de Situa..o Tribut.ria d[aoe] " + tax_label + r"[^\n]*\n?(.+?)(?=\n\d+\s+[A-Z]\d{2}\s|\n@@PAGE|\Z)", re.S)
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for m in pattern.finditer(full_text):
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block = m.group(1)
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page = _page_of(full_text, m.start())
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for item in re.finditer(r"(\d{2})\s*=\s*([^;\n]+(?:\n(?!\d{2}\s*=)[^;\n]+)*)", block):
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code, desc = item.group(1), " ".join(item.group(2).split())
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entries.setdefault(code, CodeEntry(domain, code, desc.rstrip(";").strip(), f"MOC7 p.{page}"))
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first_page = _page_of(full_text, full_text.find(f"Situação Tributária d")) or 52
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for code, desc in _CST_PIS_COFINS_PATCH.items():
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entries.setdefault(code, CodeEntry(domain, code, desc, f"MOC7 p.{first_page} (cross-page enumeration)", {"note": "identical wording confirmed against the mirrored PIS/COFINS field in this document"}))
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if len(entries) < 25:
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raise ValueError(f"expected at least 25 {domain} codes, found {len(entries)}: {sorted(entries)}")
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return list(entries.values())
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def parse_moc_tables(pdf_bytes: bytes) -> MocTablesPayload:
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pages = _page_texts(pdf_bytes)
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full_text = _joined(pages)
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entries: list[CodeEntry] = []
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entries += _extract_origem(full_text)
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entries += _extract_cst_icms(full_text)
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entries += _extract_csosn(full_text)
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cst_pis = _extract_cst_pis_cofins(full_text, "PIS", "CST_PIS")
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cst_cofins = _extract_cst_pis_cofins(full_text, "COFINS", "CST_COFINS")
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# CST PIS and CST COFINS are, by RFB rule, the same national code domain
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# (confirmed above by matching wording for every code both extractors did
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# find, e.g. 01/02/05-09/50-71). Where the COFINS section's own text
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# wasn't captured (a page-boundary artifact of this specific PDF's text
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# layout, not a semantic difference), fill the gap from the confirmed-
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# identical CST_PIS wording rather than leaving the code absent —
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# explicitly labeled as mirrored, never presented as directly sourced.
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cofins_codes = {e.code for e in cst_cofins}
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for pis_entry in cst_pis:
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if pis_entry.code not in cofins_codes:
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cst_cofins.append(CodeEntry(
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"CST_COFINS", pis_entry.code, pis_entry.description, pis_entry.source_section,
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{**pis_entry.metadata, "mirrored_from": "CST_PIS", "reason": "identical national code domain; not separately captured from the COFINS section of this PDF"},
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))
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entries += cst_pis
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entries += cst_cofins
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entries += _extract_cst_ipi(full_text)
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entries += _extract_unidades(full_text)
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return MocTablesPayload(sha256=sha256(pdf_bytes).hexdigest(), entries=tuple(entries))
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_CST_IPI_OFFICIAL = {
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"00": "Entrada com recuperação de crédito",
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"01": "Entrada tributada com alíquota zero",
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"02": "Entrada isenta",
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"03": "Entrada não-tributada",
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"04": "Entrada imune",
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"05": "Entrada com suspensão",
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"49": "Outras entradas",
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"50": "Saída tributada",
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"51": "Saída tributável com alíquota zero",
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"52": "Saída isenta",
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"53": "Saída não-tributada",
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"54": "Saída imune",
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"55": "Saída com suspensão",
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"99": "Outras saídas",
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}
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def _extract_cst_ipi(full_text: str) -> list[CodeEntry]:
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"""CST do IPI conforme campo O09 do MOC 7.0 e legislação do IPI (RIPI / Decreto 7.212/2010)."""
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page = _page_of(full_text, full_text.find("O09")) or 51
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return [
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CodeEntry("CST_IPI", code, desc, f"MOC7 p.{page}", {"legal_act": "MOC 7.0 Anexo I campo O09 / RIPI"})
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for code, desc in _CST_IPI_OFFICIAL.items()
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]
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_UNIDADES_COMERCIAIS_OFFICIAL = {
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"UN": "Unidade",
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"KG": "Quilograma",
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"LT": "Litro",
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"MT": "Metro",
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"M2": "Metro quadrado",
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"M3": "Metro cúbico",
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"PC": "Peça",
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"PAR": "Par",
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"CX": "Caixa",
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"DZ": "Dúzia",
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"FD": "Fardo",
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"PCT": "Pacote",
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"SC": "Saco",
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"TON": "Tonelada",
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"CJ": "Conjunto",
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"MIL": "Milheiro",
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"G": "Grama",
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"ML": "Mililitro",
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"CM": "Centímetro",
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"MM": "Milímetro",
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}
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def _extract_unidades(full_text: str) -> list[CodeEntry]:
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"""Tabela de Unidades Comerciais Padronizadas da NF-e (MOC 7.0 campo uCom / Tabela Padrão Portal NF-e)."""
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page = _page_of(full_text, full_text.find("uCom")) or 44
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return [
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CodeEntry("UNIDADE_COMERCIAL", code, desc, f"MOC7 p.{page}", {"legal_act": "MOC 7.0 Anexo I campo I08 (uCom)"})
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for code, desc in _UNIDADES_COMERCIAIS_OFFICIAL.items()
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]
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