chore: curate monthly assessment evidence and scripts
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kkfluous
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from collections import defaultdict
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from datetime import datetime
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from pathlib import Path
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from zipfile import ZipFile
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from xml.etree import ElementTree as ET
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import re
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from openpyxl import Workbook, load_workbook
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from openpyxl.styles import Alignment, Border, Font, PatternFill, Side
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from openpyxl.utils import get_column_letter
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BASE = Path("/Users/kkfluous/Downloads")
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ASSESSMENT = BASE / "7月核算结果/租赁任务考核_2026年7月.xlsx"
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PLATFORM_DIR = BASE / "广州新能源平台_纯氢纯电里程_2026年7月_按日"
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GPS_FILES = [
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BASE / "里程统计[天][2026-07-01至2026-07-31].xlsx",
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BASE / "里程统计[天][2026-07-01至2026-07-31] (1).xlsx",
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]
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OUTPUT = BASE / "7月核算结果/7月考核车辆多源里程汇总.xlsx"
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NS = "{http://schemas.openxmlformats.org/spreadsheetml/2006/main}"
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def normalize_plate(value):
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return re.sub(r"\s+", "", str(value or "")).upper()
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def parse_gps_file(path):
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result = {}
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with ZipFile(path) as zf:
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root = ET.fromstring(zf.read("xl/worksheets/sheet1.xml"))
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for row in root.findall(f".//{NS}row"):
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if int(row.get("r")) < 4:
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continue
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values = {}
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for cell in row.findall(f"{NS}c"):
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col = re.match(r"[A-Z]+", cell.get("r")).group()
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if cell.get("t") == "inlineStr":
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values[col] = "".join(t.text or "" for t in cell.findall(f".//{NS}t"))
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else:
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node = cell.find(f"{NS}v")
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values[col] = node.text if node is not None else None
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plate = normalize_plate(values.get("H"))
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date_text = str(values.get("O") or "").strip()
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if not plate or plate == "合计" or not re.fullmatch(r"2026-07-\d{2}", date_text):
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continue
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result[(plate, datetime.strptime(date_text, "%Y-%m-%d").date())] = float(values.get("P") or 0)
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return result
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platform = defaultdict(lambda: [0.0, 0.0])
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platform_presence = set()
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for path in sorted(PLATFORM_DIR.glob("2026-07-??_纯氢纯电里程.xlsx")):
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wb = load_workbook(path, read_only=True, data_only=True)
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ws = wb.active
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for row in ws.iter_rows(min_row=2, values_only=True):
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plate = normalize_plate(row[5])
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date_match = re.search(r"2026-07-\d{2}", str(row[6] or ""))
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if not plate or not date_match:
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continue
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date = datetime.strptime(date_match.group(), "%Y-%m-%d").date()
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electric = float(row[7] or 0)
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hydrogen = float(row[8] or 0)
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platform[(plate, date)][0] += hydrogen
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platform[(plate, date)][1] += electric
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platform_presence.add((plate, date))
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wb.close()
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gps = {}
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for path in GPS_FILES:
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incoming = parse_gps_file(path)
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overlap = set(gps) & set(incoming)
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if overlap:
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raise RuntimeError(f"GPS来源存在重复车辆日期：{sorted(overlap)[:5]}")
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gps.update(incoming)
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source_wb = load_workbook(ASSESSMENT, read_only=True, data_only=True)
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source_ws = source_wb["业务考核视图"]
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headers = [c.value for c in source_ws[1]]
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idx = {name: i for i, name in enumerate(headers)}
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records = []
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for row in source_ws.iter_rows(min_row=2, values_only=True):
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plate = normalize_plate(row[idx["车牌号"]])
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if not plate:
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continue
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start = row[idx["考核开始日期"]].date()
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end = row[idx["考核结束日期"]].date()
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dates = [(start.fromordinal(start.toordinal() + i)) for i in range((end - start).days + 1)]
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p_dates = [d for d in dates if (plate, d) in platform_presence]
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if p_dates:
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hydrogen = sum(platform[(plate, d)][0] for d in p_dates)
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electric = sum(platform[(plate, d)][1] for d in p_dates)
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else:
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hydrogen = electric = None
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test_mileage = row[idx["测试里程(km)"]]
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is_test = isinstance(test_mileage, (int, float)) and test_mileage > 0
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g_dates = [d for d in dates if (plate, d) in gps]
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gps_total = sum(gps[(plate, d)] for d in g_dates) if g_dates else None
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# 7月最终考核源表的“实际行驶里程”已按原处理链路写入测试车辆GPS里程：
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# 优先智能管车日报，缺失时用两份GPS日明细补充。补充明细未命中时，
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# 必须从最终源表回填，不能误标为“无来源”。
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if gps_total is None and is_test:
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gps_total = row[idx["实际行驶里程(km)"]]
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records.append({
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"plate": plate,
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"customer": row[idx["客户名称"]] or "",
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"start": start,
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"end": end,
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"days": (end - start).days + 1,
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"test": "是" if is_test else "否",
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"hydrogen": hydrogen,
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"electric": electric,
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"tbox": row[idx["原TBOX里程(km)"]] if row[idx["原TBOX里程(km)"]] is not None else None,
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"gps": gps_total,
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})
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source_wb.close()
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wb = Workbook()
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ws = wb.active
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ws.title = "7月考核车辆里程汇总"
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columns = [
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"序号", "车牌", "客户", "考核开始日期", "考核结束日期", "考核天数", "是否存在测试",
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"纯氢里程(km)", "纯电里程(km)", "广州平台总里程(km)", "TBOX里程(km)", "GPS里程(km)",
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]
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ws.append(columns)
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for n, rec in enumerate(records, 1):
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row_num = ws.max_row + 1
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ws.append([
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n, rec["plate"], rec["customer"], rec["start"], rec["end"], rec["days"], rec["test"],
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rec["hydrogen"] if rec["hydrogen"] is not None else "无来源",
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rec["electric"] if rec["electric"] is not None else "无来源",
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round(rec["hydrogen"] + rec["electric"], 3) if rec["hydrogen"] is not None else "无来源",
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rec["tbox"] if rec["tbox"] is not None else "无来源",
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rec["gps"] if rec["gps"] is not None else "无来源",
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])
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ws.insert_rows(1)
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ws.merge_cells("A1:L1")
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ws["A1"] = (
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"1. 纯氢里程(km)、纯电里程(km)来源于广州平台统计，TBOX里程来源于车机上报的仪表盘里程统计，"
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"GPS里程优先按两份7月GPS日明细汇总；测试车辆未命中时，回填7月最终考核源表中已确认的GPS实际里程\n"
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"2. 广州平台总里程(km)=纯氢里程(km)+纯电里程(km)\n"
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"3. 已确认广州平台暂未接入86辆普货车数据；无对应记录统一标记为“无来源”"
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)
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header_fill = PatternFill("solid", fgColor="1F4E78")
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platform_fill = PatternFill("solid", fgColor="DDEBF7")
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tbox_fill = PatternFill("solid", fgColor="E2F0D9")
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gps_fill = PatternFill("solid", fgColor="E4DFEC")
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test_fill = PatternFill("solid", fgColor="FFF2CC")
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missing_fill = PatternFill("solid", fgColor="F2F2F2")
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thin = Side(style="thin", color="B7B7B7")
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for cell in ws[2]:
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cell.fill = header_fill
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cell.font = Font(color="FFFFFF", bold=True)
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cell.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
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cell.border = Border(bottom=Side(style="medium", color="FFFFFF"))
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for row in ws.iter_rows(min_row=3, max_row=ws.max_row):
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is_test = row[6].value == "是"
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for cell in row:
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cell.border = Border(left=thin, right=thin, top=thin, bottom=thin)
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cell.alignment = Alignment(horizontal="center", vertical="center")
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row[2].alignment = Alignment(horizontal="left", vertical="center")
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if is_test:
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for cell in row:
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cell.fill = test_fill
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else:
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for cell in row[7:10]:
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cell.fill = platform_fill
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row[10].fill = tbox_fill
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row[11].fill = gps_fill
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for cell in row[7:12]:
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if cell.value == "无来源":
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cell.fill = missing_fill
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cell.font = Font(color="7F7F7F", italic=True)
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for row in range(3, ws.max_row + 1):
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ws.cell(row, 4).number_format = "yyyy-mm-dd"
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ws.cell(row, 5).number_format = "yyyy-mm-dd"
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for col in range(8, 13):
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ws.cell(row, col).number_format = "#,##0.0"
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widths = [8, 14, 34, 15, 15, 11, 14, 17, 17, 23, 17, 17]
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for col, width in enumerate(widths, 1):
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ws.column_dimensions[get_column_letter(col)].width = width
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ws["A1"].fill = PatternFill("solid", fgColor="FFF2CC")
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ws["A1"].font = Font(color="7F6000", italic=True)
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ws["A1"].alignment = Alignment(horizontal="left", vertical="center", wrap_text=True)
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ws.row_dimensions[1].height = 58
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ws.row_dimensions[2].height = 36
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ws.freeze_panes = "A3"
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ws.auto_filter.ref = f"A2:L{ws.max_row}"
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ws.sheet_view.showGridLines = False
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ws.sheet_properties.pageSetUpPr.fitToPage = True
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ws.page_setup.orientation = "landscape"
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ws.page_setup.fitToWidth = 1
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ws.page_setup.fitToHeight = 0
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ws.print_title_rows = "1:2"
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OUTPUT.parent.mkdir(parents=True, exist_ok=True)
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wb.save(OUTPUT)
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print({
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"output": str(OUTPUT),
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"records": len(records),
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"test_records": sum(r["test"] == "是" for r in records),
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"platform_missing": sum(r["hydrogen"] is None for r in records),
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"tbox_missing": sum(r["tbox"] is None for r in records),
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"gps_missing": sum(r["gps"] is None for r in records),
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})
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