feat: sync full workspace including web modules, docs, and configurations to Gitea
Optimized the root .gitignore to exclude virtual environments, node modules, and temp folders to ensure clean and lightweight version tracking. Co-authored-by: Cursor <cursoragent@cursor.com>
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王冕
255
scripts/fill_license_excel_from_images.py
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255
scripts/fill_license_excel_from_images.py
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#!/usr/bin/env python3
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"""从桌面「车辆行驶证」图片 OCR 提取字段，写入证照信息导入模板（仅填 A–E 列）。"""
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import re
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import calendar
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import shutil
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import sys
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from collections import Counter
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from datetime import date
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from pathlib import Path
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from typing import List, Optional, Tuple
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import openpyxl
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from rapidocr_onnxruntime import RapidOCR
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IMG_DIR = Path("/Users/sylvawong/Desktop/车辆行驶证")
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TEMPLATE = Path("/Users/sylvawong/Desktop/证照信息导入模板-1776082388558.xlsx")
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OUT = Path("/Users/sylvawong/Desktop/证照信息导入模板-OCR导入结果.xlsx")
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TODAY = date.today()
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PLATE_CHARS = r"京津沪渝冀晋蒙辽吉黑苏浙皖闽赣鲁豫鄂湘粤桂琼川贵云藏陕甘青宁新"
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PLATE_RE = re.compile(
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rf"[{PLATE_CHARS}][A-Z0-9·]{{4,12}}(?:挂)?"
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)
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# 标准 VIN 不含 I、O、Q；OCR 常误识，放宽为 17 位大写字母数字
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VIN_RE = re.compile(r"[A-Z0-9]{17}")
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VIN_BODY = set("ABCDEFGHJKLMNPRSTUVWXYZ0123456789")
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def normalize_stem(stem: str) -> str:
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s = re.sub(r"\s+\d+$", "", stem).strip()
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s = re.sub(r"行驶证年审.*$", "", s).strip()
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return s
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def end_of_month(y: int, m: int) -> date:
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return date(y, m, calendar.monthrange(y, m)[1])
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def parse_inspection_dates(text: str) -> List[date]:
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out: List[date] = []
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pat1 = re.compile(
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r"检验有效期[至到]\s*(\d{4})\s*年\s*(\d{1,2})\s*月(?:\s*(\d{1,2})\s*日)?"
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)
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for m in pat1.finditer(text):
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y, mo = int(m.group(1)), int(m.group(2))
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if not (2000 <= y <= 2040 and 1 <= mo <= 12):
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continue
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d = int(m.group(3)) if m.group(3) else None
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if d and 1 <= d <= 31:
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try:
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out.append(date(y, mo, d))
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except ValueError:
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out.append(end_of_month(y, mo))
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else:
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out.append(end_of_month(y, mo))
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pat2 = re.compile(r"检验有效期[至到]\s*(\d{4})\s*年(?!\s*\d{1,2}\s*月)")
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for m in pat2.finditer(text):
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y = int(m.group(1))
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if 2000 <= y <= 2040:
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out.append(end_of_month(y, 12))
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return out
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def extract_plate_ocr(text: str, filename_plate: Optional[str]) -> Optional[str]:
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hits = PLATE_RE.findall(text)
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# 去掉明显非号牌片段
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bad = {"中华人民共和国", "中国人民共和国"}
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hits = [h for h in hits if h not in bad and len(h) <= 12]
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if not hits:
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return filename_plate
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cnt = Counter(hits)
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if filename_plate and filename_plate in cnt:
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return filename_plate
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return cnt.most_common(1)[0][0]
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def _vin_from_l_window(window: str) -> Optional[str]:
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"""OCR 常把代号与型号粘在一起，用 L 起算滑动取 17 位合法车架字符。"""
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for i, ch in enumerate(window):
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if ch != "L":
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continue
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chunk = window[i : i + 17]
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if len(chunk) < 17:
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continue
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if not all(c in VIN_BODY for c in chunk):
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continue
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if re.search(r"\d", chunk) and re.search(r"[A-Z]", chunk):
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return chunk
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return None
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def extract_vin(text: str) -> Optional[str]:
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compact = re.sub(r"[\s\r\n ]+", "", text)
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idx = compact.find("车辆识别代号")
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if idx < 0:
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idx = compact.find("VIN")
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if idx >= 0:
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window = compact[idx : idx + 260]
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v = _vin_from_l_window(window)
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if v:
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return v
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for m in VIN_RE.finditer(window):
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s = m.group(0)
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if re.search(r"\d", s) and re.search(r"[A-Z]", s) and s[0] == "L":
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return s
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for m in VIN_RE.finditer(window):
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s = m.group(0)
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if re.search(r"\d", s) and re.search(r"[A-Z]", s):
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return s
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v = _vin_from_l_window(compact)
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if v:
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return v
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candidates = []
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for m in VIN_RE.finditer(compact):
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s = m.group(0)
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if not (re.search(r"\d", s) and re.search(r"[A-Z]", s)):
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continue
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if s[0] == "L" and all(c in VIN_BODY for c in s):
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candidates.append(s)
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return candidates[0] if candidates else None
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def extract_register_date(text: str) -> Optional[date]:
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m = re.search(
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r"注册日期\s*[\n\r\s]*发证日期\s*[\n\r\s]*(\d{4})-(\d{1,2})-(\d{1,2})",
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text,
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)
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if m:
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try:
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return date(int(m.group(1)), int(m.group(2)), int(m.group(3)))
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except ValueError:
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pass
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m = re.search(
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r"(?:注册日期|RegisterDate)\D{0,120}?(\d{4})[-/.](\d{1,2})[-/.](\d{1,2})",
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text,
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re.DOTALL | re.IGNORECASE,
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)
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if m:
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try:
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return date(int(m.group(1)), int(m.group(2)), int(m.group(3)))
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except ValueError:
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pass
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m = re.search(
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r"注册日期\D{0,60}?(\d{4})[-/.年](\d{1,2})[-/.月](\d{1,2})",
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text,
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re.DOTALL,
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)
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if m:
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try:
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return date(int(m.group(1)), int(m.group(2)), int(m.group(3)))
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except ValueError:
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pass
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return None
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def extract_scrap_date(text: str) -> Optional[date]:
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patterns = [
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r"强制报废期止\s*[：:]\s*(\d{4})[-/.](\d{1,2})[-/.](\d{1,2})",
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r"强制报废期止\s*(\d{4})[-/.](\d{1,2})[-/.](\d{1,2})",
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r"强制报废期止\s*(\d{4})\s*年\s*(\d{1,2})\s*月\s*(\d{1,2})\s*日?",
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r"报废期止\s*(\d{4})\s*年\s*(\d{1,2})\s*月\s*(\d{1,2})",
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r"强制报废[^0-9]{0,20}(\d{4})\s*年\s*(\d{1,2})\s*月\s*(\d{1,2})",
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]
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for pat in patterns:
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m = re.search(pat, text)
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if m:
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try:
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return date(int(m.group(1)), int(m.group(2)), int(m.group(3)))
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except ValueError:
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continue
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return None
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def pick_largest_per_plate(folder: Path):
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groups = {}
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for p in folder.iterdir():
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if not p.is_file():
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continue
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if p.suffix.lower() not in (".jpg", ".jpeg", ".png", ".webp"):
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continue
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key = normalize_stem(p.stem)
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if not key:
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continue
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if key not in groups or p.stat().st_size > groups[key].stat().st_size:
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groups[key] = p
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return groups
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def main() -> int:
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if not IMG_DIR.is_dir():
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print("图片目录不存在:", IMG_DIR, file=sys.stderr)
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return 1
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if not TEMPLATE.is_file():
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print("模板不存在:", TEMPLATE, file=sys.stderr)
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return 1
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groups = pick_largest_per_plate(IMG_DIR)
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ocr = RapidOCR()
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rows: List[Tuple[str, Optional[str], Optional[date], Optional[date], Optional[date]]] = []
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stats = {"no_inspection": 0, "no_vin": 0, "no_register": 0, "no_scrap": 0}
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for i, (fn_plate, path) in enumerate(sorted(groups.items()), 1):
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if i % 80 == 0:
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print(f"OCR {i}/{len(groups)} …", flush=True)
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try:
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result, _ = ocr(str(path))
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except Exception as e:
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print("OCR失败", fn_plate, e, file=sys.stderr)
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continue
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text = "\n".join([t[1] for t in result]) if result else ""
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plate = extract_plate_ocr(text, fn_plate) or fn_plate
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vin = extract_vin(text)
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reg = extract_register_date(text)
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scrap = extract_scrap_date(text)
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ins_dates = parse_inspection_dates(text)
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inspection_end = max(ins_dates) if ins_dates else None
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if not inspection_end:
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stats["no_inspection"] += 1
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if not vin:
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stats["no_vin"] += 1
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if not reg:
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stats["no_register"] += 1
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if not scrap:
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stats["no_scrap"] += 1
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rows.append((plate, vin, reg, scrap, inspection_end))
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wb = openpyxl.load_workbook(TEMPLATE)
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ws = wb.active
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# 从第 2 行写入；若模板已有数据先清空旧数据区
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max_row = ws.max_row
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if max_row > 1:
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ws.delete_rows(2, max_row - 1)
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for r, (plate, vin, reg, scrap, insp) in enumerate(rows, start=2):
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ws.cell(row=r, column=1, value=plate)
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ws.cell(row=r, column=2, value=vin or "")
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ws.cell(row=r, column=3, value=reg)
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ws.cell(row=r, column=4, value=scrap)
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ws.cell(row=r, column=5, value=insp)
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wb.save(OUT)
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shutil.copy2(OUT, TEMPLATE)
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print("写入:", OUT)
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print("已同步覆盖模板:", TEMPLATE)
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print("行数(含表头):", ws.max_row)
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print("统计(空字段数):", stats)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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