chore: curate monthly assessment evidence and scripts

_fix_source_may.py

@@ -0,0 +1,101 @@
+#!/usr/bin/env python3
+"""Fix May source: remove 4 vehicles from intervention, fix 粤A02239F GPS data."""
+import os, shutil, openpyxl, warnings
+from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
+from openpyxl.utils import get_column_letter
+warnings.filterwarnings('ignore')
+os.chdir('/Users/kkfluous/Downloads')
+
+SRC = '租赁任务考核_2026年5月.xlsx'
+BAK = '租赁任务考核_2026年5月_原版备份.xlsx'
+
+wb = openpyxl.load_workbook(SRC)
+ws = wb['业务考核视图']
+h = [c.value for c in next(ws.iter_rows(min_row=1, max_row=1))]
+print(f"Headers ({len(h)}):")
+for i, hh in enumerate(h): print(f"  [{i}] {hh}")
+
+# Column indices
+COL_PLATE = 0
+COL_ACTUAL = h.index('实际行驶里程(km)')  # GPS or仪表盘
+COL_TBOX = h.index('原TBOX里程(km)')
+COL_TEST = h.index('测试里程(km)')
+COL_RATE = h.index('完成率(%)')
+COL_PASS = h.index('是否达标')
+
+YELLOW = PatternFill('solid', fgColor='FFFF00')
+NO_FILL = PatternFill()  # default/empty
+
+# ── Fix 1: Remove 4 vehicles from intervention ──
+REMOVE = {'粤A03186F', '粤A01128F', '粤A08391F', '粤A01396F'}
+
+removed_count = 0
+for row in ws.iter_rows(min_row=2, max_row=ws.max_row):
+    plate = str(row[COL_PLATE].value or '').strip()
+    if plate not in REMOVE:
+        continue
+
+    tbox = row[COL_TBOX].value  # this is the original仪表盘里程
+    if tbox is None or float(tbox or 0) <= 0:
+        continue
+
+    original_km = float(tbox)
+    target_km = float(row[h.index('应考核里程(km)')].value or 0)
+
+    # Restore: 实际行驶里程 = original仪表盘
+    row[COL_ACTUAL].value = original_km
+    row[COL_TBOX].value = None  # clear TBOX (non-intervention)
+    row[COL_TEST].value = 0     # clear test
+
+    # Recalculate
+    rate = round(original_km / target_km * 100, 2) if target_km > 0 else 0
+    new_pass = '达标' if original_km >= target_km and target_km > 0 else '未达标'
+    row[COL_RATE].value = rate
+    row[COL_PASS].value = new_pass
+
+    # Remove yellow highlight
+    for c in range(len(h)):
+        row[c].fill = NO_FILL
+
+    removed_count += 1
+    print(f"  移除: {plate} 实际恢复={original_km} 达标={new_pass}")
+
+print(f"移除干预: {removed_count} 辆")
+
+# ── Fix 2: 粤A02239F GPS = 539.7 ──
+plate = '粤A02239F'
+for row in ws.iter_rows(min_row=2, max_row=ws.max_row):
+    p = str(row[COL_PLATE].value or '').strip()
+    if p != plate:
+        continue
+
+    tbox = float(row[COL_TBOX].value or 0)
+    gps_new = 539.7
+    target_km = float(row[h.index('应考核里程(km)')].value or 0)
+
+    row[COL_ACTUAL].value = gps_new
+    row[COL_TEST].value = round(tbox - gps_new, 2)
+    rate = round(gps_new / target_km * 100, 2) if target_km > 0 else 0
+    new_pass = '达标' if gps_new >= target_km and target_km > 0 else '未达标'
+    row[COL_RATE].value = rate
+    row[COL_PASS].value = new_pass
+
+    print(f"\n修复: {plate} GPS={gps_new} TBOX={tbox} Test={round(tbox-gps_new,2)} 达标={new_pass}")
+    break
+
+# ── Save ──
+wb.save(SRC)
+print(f"\n✅ 已保存: {SRC}")
+
+# ── Quick stats ──
+wb2 = openpyxl.load_workbook(SRC, data_only=True)
+ws2 = wb2['业务考核视图']
+h2 = [c.value for c in next(ws2.iter_rows(min_row=1, max_row=1))]
+total = 0; pass_count = 0
+for row in ws2.iter_rows(min_row=2, values_only=True):
+    if not row[0]: continue
+    r = dict(zip(h2, row))
+    total += 1
+    if r.get('是否达标') == '达标': pass_count += 1
+wb2.close()
+print(f"总记录={total} 达标={pass_count}")