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Contract Parser — T4.1 (Người C)
Parses contract documents (PDF, DOCX, TXT) to Markdown using MinerU CLI,
with PII detection and redaction for Vietnamese contracts.
Usage:
from contract import ContractParser
parser = ContractParser()
contract = parser.parse("path/to/contract.pdf")
print(contract.redacted_text)
"""
from __future__ import annotations
import os
import base64
import subprocess
import tempfile
import uuid
from datetime import date
from pathlib import Path
from typing import Optional
from src.config import CONTRACT_OCR_MAX_PAGES, CONTRACT_OCR_MIN_TEXT_CHARS, OPENAI_OCR_MODEL
from .models import Contract, ParseError
from .pii import detect_pii, redact_pii
SUPPORTED_FORMATS = {".pdf", ".docx", ".txt", ".md"}
_VIETNAMESE_CHARS = set("ăâđêôơưĂÂĐÊÔƠƯáàảãạấầẩẫậắằẳẵặéèẻẽẹếềểễệíìỉĩịóòỏõọốồổỗộớờởỡợúùủũụứừửữựýỳỷỹỵ")
_MOJIBAKE_MARKERS = ("Ã", "Ä", "Å", "Æ", "Ç", "È", "É", "Ê", "Ë", "Ð", "Ñ", "Ò", "Ó", "Ô", "Õ", "Ö", "×", "Ø", "Ù", "Ú", "á»", "áº", "Ä")
def repair_mojibake_text(text: str) -> str:
"""Repair common UTF-8-as-Latin-1 mojibake when the candidate is clearly better."""
if not text:
return text
candidates = [text]
for source_encoding in ("latin-1", "cp1252"):
try:
candidates.append(text.encode(source_encoding).decode("utf-8"))
except (UnicodeEncodeError, UnicodeDecodeError):
continue
return max(candidates, key=_text_quality_score)
def _text_quality_score(text: str) -> int:
score = 0
score += sum(3 for ch in text if ch in _VIETNAMESE_CHARS)
score -= sum(2 for marker in _MOJIBAKE_MARKERS for _ in range(text.count(marker)))
score -= text.count("\ufffd") * 5
return score
class ContractParser:
"""
Parse contract documents to Markdown with PII redaction.
Uses MinerU CLI for document parsing (PDF/DOCX/TXT → Markdown).
Automatically detects and redacts Vietnamese PII.
"""
def __init__(
self,
output_dir: Optional[str] = None,
lang: str = "ch", # MinerU uses "ch" for Chinese/Vietnamese OCR
backend: str = "pipeline",
) -> None:
"""
Initialize ContractParser.
Args:
output_dir: Temporary output directory for MinerU (auto-created if None)
lang: OCR language code for MinerU
backend: MinerU backend ("pipeline" for CPU, "vlm-auto-engine" for GPU)
"""
self._output_dir = output_dir
self._lang = lang
self._backend = backend
def parse(
self,
file_path: str,
do_redact_pii: bool = True,
) -> Contract:
"""
Parse a contract document.
Args:
file_path: Path to PDF, DOCX, or TXT file
do_redact_pii: Whether to detect and redact PII (default: True)
Returns:
Contract object with raw_text, redacted_text, and pii_map
Raises:
ParseError: If parsing fails
"""
path = Path(file_path)
# Validate file exists
if not path.exists():
raise ParseError(
f"File not found: {file_path}",
file_path=file_path,
error_type="unknown",
)
# Validate format
suffix = path.suffix.lower()
if suffix not in SUPPORTED_FORMATS:
raise ParseError(
f"Unsupported format: {suffix}. Supported: {SUPPORTED_FORMATS}",
file_path=file_path,
error_type="unsupported",
)
# Parse based on format
if suffix in {".txt", ".md"}:
raw_text = self._read_txt(path)
elif suffix == ".pdf":
raw_text = self._read_pdf_text_or_ocr(path)
else:
# Parse with MinerU for PDF/DOCX
try:
raw_text = self._run_mineru(path)
except ParseError:
raise
except Exception as e:
raise ParseError(
f"MinerU parsing failed: {str(e)}",
file_path=file_path,
error_type="unknown",
original_exception=e,
)
raw_text = self._normalize_text(raw_text)
# PII detection and redaction
pii_matches = detect_pii(raw_text) if do_redact_pii else []
redacted_text, pii_map = redact_pii(raw_text, pii_matches) if do_redact_pii else (raw_text, {})
return Contract(
id=str(uuid.uuid4()),
raw_text=raw_text,
redacted_text=redacted_text,
source_format=suffix.lstrip("."),
upload_date=date.today(),
pii_map=pii_map,
metadata={
"file_size": path.stat().st_size,
"file_name": path.name,
},
)
def _read_txt(self, path: Path) -> str:
"""
Read TXT file directly without MinerU.
Args:
path: Path to TXT file
Returns:
Text content
Raises:
ParseError: If reading fails
"""
try:
raw_bytes = path.read_bytes()
for encoding in ("utf-8", "utf-8-sig", "cp1258", "latin-1"):
try:
return repair_mojibake_text(raw_bytes.decode(encoding))
except UnicodeDecodeError:
continue
raise UnicodeDecodeError("unknown", raw_bytes, 0, 1, "Could not decode text file")
except Exception as e:
raise ParseError(
f"Failed to read TXT file: {str(e)}",
file_path=str(path),
error_type="corrupted",
original_exception=e,
)
def _read_pdf_text_or_ocr(self, path: Path) -> str:
"""
Extract text from PDF text layer first. OCR only pages with too little text.
"""
try:
import fitz # PyMuPDF
except Exception as e:
raise ParseError(
"PyMuPDF is required for PDF parsing. Install pymupdf.",
file_path=str(path),
error_type="unsupported",
original_exception=e,
)
try:
doc = fitz.open(path)
except Exception as e:
raise ParseError(
f"Failed to open PDF: {str(e)}",
file_path=str(path),
error_type="corrupted",
original_exception=e,
)
parts: list[str] = []
try:
for page_index, page in enumerate(doc):
text = page.get_text("text").strip()
if len(text) >= CONTRACT_OCR_MIN_TEXT_CHARS:
parts.append(text)
continue
if page_index >= CONTRACT_OCR_MAX_PAGES:
parts.append(text)
continue
png_bytes = self._render_pdf_page_png(page)
parts.append(self._ocr_image_with_openai(png_bytes, page_index + 1))
finally:
doc.close()
return "\n\n".join(part for part in parts if part.strip())
def _render_pdf_page_png(self, page) -> bytes:
import fitz
matrix = fitz.Matrix(2, 2)
pix = page.get_pixmap(matrix=matrix, alpha=False)
return pix.tobytes("png")
def _ocr_image_with_openai(self, image_bytes: bytes, page_number: int) -> str:
api_key = os.getenv("OPENAI_API_KEY", "")
if not api_key:
raise ParseError(
"OPENAI_API_KEY is required for OCR fallback",
error_type="ocr_failure",
)
from openai import OpenAI
image_b64 = base64.b64encode(image_bytes).decode("ascii")
base_url = (os.getenv("OPENAI_BASE_URL") or "").strip() or "https://api.openai.com/v1"
client = OpenAI(api_key=api_key, base_url=base_url)
response = client.chat.completions.create(
model=OPENAI_OCR_MODEL,
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": (
"OCR trang hợp đồng này sang Markdown/plain text tiếng Việt. "
"Giữ thứ tự điều khoản, số điều, khoản, điểm. "
"Chỉ trả về nội dung OCR, không giải thích."
),
},
{
"type": "image_url",
"image_url": {"url": f"data:image/png;base64,{image_b64}"},
},
],
}
],
temperature=0,
)
content = response.choices[0].message.content or ""
return f"\n\n<!-- OCR page {page_number} -->\n{content.strip()}"
def _normalize_text(self, text: str) -> str:
lines = [line.rstrip() for line in (text or "").replace("\r\n", "\n").replace("\r", "\n").split("\n")]
normalized = "\n".join(lines)
while "\n\n\n" in normalized:
normalized = normalized.replace("\n\n\n", "\n\n")
return normalized.strip()
def _run_mineru(self, path: Path) -> str:
"""
Run MinerU CLI to parse document to Markdown.
Args:
path: Path to document
Returns:
Markdown text output
Raises:
ParseError: If MinerU fails
"""
with tempfile.TemporaryDirectory() as tmpdir:
cmd = [
"mineru",
"--path", str(path),
"--output", tmpdir,
"--lang", self._lang,
"--backend", self._backend,
]
try:
result = subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=300, # 5 minute timeout
)
except subprocess.TimeoutExpired:
raise ParseError(
"MinerU parsing timed out (5 minutes)",
file_path=str(path),
error_type="ocr_failure",
)
except Exception as e:
raise ParseError(
f"Failed to run MinerU: {str(e)}",
file_path=str(path),
error_type="unknown",
original_exception=e,
)
if result.returncode != 0:
error_msg = result.stderr.strip() or "MinerU exited with non-zero code"
raise ParseError(
f"MinerU error: {error_msg}",
file_path=str(path),
error_type="ocr_failure",
)
# Read output Markdown
md_content = self._read_mineru_output(tmpdir, path)
return md_content
def _read_mineru_output(self, tmpdir: str, path: Path) -> str:
"""
Read MinerU output Markdown from temp directory.
MinerU outputs to: {tmpdir}/{filename_without_ext}/{filename}.md
Args:
tmpdir: Temporary directory used by MinerU
path: Original file path
Returns:
Markdown content
Raises:
ParseError: If output not found
"""
# MinerU creates a subdirectory with the filename (without extension)
stem = path.stem
output_dir = os.path.join(tmpdir, stem)
if not os.path.exists(output_dir):
# Try listing what's in tmpdir
contents = os.listdir(tmpdir)
if contents:
output_dir = os.path.join(tmpdir, contents[0])
else:
raise ParseError(
"MinerU produced no output",
file_path=str(path),
error_type="ocr_failure",
)
# Find .md file
md_files = [f for f in os.listdir(output_dir) if f.endswith(".md")]
if not md_files:
# Try .txt file as fallback
txt_files = [f for f in os.listdir(output_dir) if f.endswith(".txt")]
if txt_files:
with open(os.path.join(output_dir, txt_files[0]), "r", encoding="utf-8") as f:
return repair_mojibake_text(f.read())
raise ParseError(
"No Markdown output found from MinerU",
file_path=str(path),
error_type="ocr_failure",
)
# Read the first .md file
md_path = os.path.join(output_dir, md_files[0])
with open(md_path, "r", encoding="utf-8") as f:
return repair_mojibake_text(f.read())
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