chore: curate monthly assessment evidence and scripts

2026-08-25 12:26:35 +08:00
parent 2956496fb0
commit 52dde9195a
117 changed files with 10743 additions and 179 deletions
@@ -0,0 +1,275 @@
+#!/usr/bin/env python3
+"""Process May intervention: replace mileage with GPS, add TBOX/test columns."""
+import os, shutil, openpyxl, pymysql, warnings
+from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
+from openpyxl.utils import get_column_letter
+from datetime import datetime, date, timedelta
+from collections import defaultdict
+
+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'
+OUT = SRC  # overwrite
+
+# ── Step 1: Backup ──
+if not os.path.exists(BAK):
+    shutil.copy2(SRC, BAK)
+    print(f"✅ Backup: {BAK}")
+else:
+    print(f"跳过备份（已存在）")
+
+# ── Step 2: Load intervention plates ──
+wb_i = openpyxl.load_workbook('标黄为5月干预车辆.xlsx')
+ws_i = wb_i['Sheet1']
+yellow_plates = set()
+for row in ws_i.iter_rows(min_row=2, values_only=False):
+    cell = row[0]
+    fill = cell.fill
+    is_yellow = (fill and fill.patternType == 'solid' and fill.start_color
+                 and fill.start_color.rgb and 'FFFF00' in str(fill.start_color.rgb))
+    if is_yellow:
+        p = str(cell.value).strip() if cell.value else ''
+        if p:
+            yellow_plates.add(p)
+wb_i.close()
+print(f"干预车辆: {len(yellow_plates)}")
+
+# ── Step 3: Read source records ──
+wb_s = openpyxl.load_workbook(SRC, data_only=True)
+ws_s = wb_s['业务考核视图']
+src_h = [c.value for c in next(ws_s.iter_rows(min_row=1, max_row=1))]
+rows_raw = list(ws_s.iter_rows(min_row=2, values_only=True))
+wb_s.close()
+
+records = []
+for row in rows_raw:
+    if not row[0]:
+        continue
+    records.append(dict(zip(src_h, row)))
+print(f"源数据: {len(records)} 条")
+
+# ── Step 4: GPS from DB ──
+print("查询数据库...")
+conn = pymysql.connect(host='101.133.130.65', user='root', password='ln123!@#',
+                       database='hydrogen_energy', charset='utf8mb4')
+cur = conn.cursor()
+cur.execute("SELECT plate_number, dates, total_mileage FROM ln_vehicle_g7_mileage WHERE dates >= '2026-05-01' AND dates <= '2026-06-08'")
+db_rows = cur.fetchall()
+conn.close()
+
+# Group: plate -> {date: mileage}
+pmap = defaultdict(lambda: defaultdict(int))
+for p, d, m in db_rows:
+    dd = d if isinstance(d, date) else (d.date() if isinstance(d, datetime) else date.fromisoformat(str(d)[:10]))
+    pmap[p][dd] = m or 0
+
+print(f"DB plates loaded: {len(pmap)}")
+
+# Compute GPS km per plate per考核期
+def get_gps_km(plate, start_v, end_v):
+    """GPS里程(km) = sum of daily total_mileage / 100000"""
+    if plate not in pmap:
+        return 0.0
+
+    # Parse dates
+    if isinstance(start_v, datetime):
+        sd = start_v.date()
+    elif isinstance(start_v, date):
+        sd = start_v
+    else:
+        return 0.0
+
+    if isinstance(end_v, datetime):
+        ed = end_v.date()
+    elif isinstance(end_v, date):
+        ed = end_v
+    else:
+        return 0.0
+
+    total = 0
+    d = sd
+    daily = pmap[plate]
+    while d <= ed:
+        total += daily.get(d, 0)
+        d += timedelta(days=1)
+    return total / 100000.0
+
+# Build plate -> gps for intervention vehicles
+plate_gps = {}
+for rec in records:
+    p = str(rec['车牌号']).strip()
+    if p not in yellow_plates:
+        continue
+    if p in plate_gps:
+        continue
+    km = get_gps_km(p, rec.get('考核开始日期'), rec.get('考核结束日期'))
+    plate_gps[p] = round(km, 2)
+
+print(f"GPS数据获取: {len(plate_gps)}/{len(yellow_plates)}")
+gps_zero = sum(1 for v in plate_gps.values() if v == 0)
+print(f"GPS=0: {gps_zero} 辆")
+
+# ── Step 5: Generate new workbook ──
+YELLOW = PatternFill('solid', fgColor='FFFF00')
+RED = PatternFill('solid', fgColor='FF0000')
+REDF = Font(color='FFFFFF', bold=True)
+HFILL = PatternFill('solid', fgColor='4472C4')
+HFONT = Font(bold=True, color='FFFFFF', size=10)
+BORD = Border(Side('thin','B4B4B4'), Side('thin','B4B4B4'), Side('thin','B4B4B4'), Side('thin','B4B4B4'))
+CC = Alignment(horizontal='center', vertical='center', wrap_text=True)
+NFONT = Font(size=10)
+
+wb = openpyxl.Workbook()
+ws = wb.active
+ws.title = '业务考核视图'
+
+# New header layout:
+# 车牌号(0) 考核年份(1) 考核月份(2) 部门名称(3) 销售经理(4) 客户名称(5) 合同编号(6) 项目名称(7)
+# 考核目标ID(8) 考核目标(9) 考核开始日期(10) 考核结束日期(11) 考核天数(12) 应考核里程(13)
+# 原TBOX里程(14) 实际行驶里程=GPS(15) 测试里程(16) 完成率(17) 是否达标(18) 考核状态(19) ...
+# Column map: src_col -> dst_col (0-indexed)
+# 0-13 stay same, 14(old actual) -> split into 14(TBOX) 15(new actual) 16(test), 15(old rate) -> 17, 16(old pass)->18, 17(status)->19, 18-20 -> 20-22
+
+new_h = ['车牌号', '考核年份', '考核月份', '部门名称', '销售经理', '客户名称',
+         '合同编号', '项目名称', '考核目标ID', '考核目标', '考核开始日期',
+         '考核结束日期', '考核天数', '应考核里程(km)',
+         '原TBOX里程(km)', '实际行驶里程(km)', '测试里程(km)',
+         '完成率(%)', '是否达标', '考核状态',
+         '交车日期', '预计还车日期', '实际还车日期']
+
+for ci, h in enumerate(new_h):
+    c = ci + 1
+    cell = ws.cell(row=1, column=c, value=h)
+    cell.fill = HFILL
+    cell.font = HFONT
+    cell.alignment = CC
+    cell.border = BORD
+
+# Write data
+for ri, rec in enumerate(records):
+    r = ri + 2
+    plate = str(rec['车牌号']).strip()
+    is_intv = plate in yellow_plates
+
+    # Columns 0-13: copy directly (0-indexed in src_h)
+    for si in range(14):  # 车牌号 ~ 应考核里程(km)
+        val = rec.get(src_h[si])
+        if val is not None:
+            ws.cell(row=r, column=si + 1, value=val)
+        ws.cell(row=r, column=si + 1).border = BORD
+        ws.cell(row=r, column=si + 1).alignment = CC
+        ws.cell(row=r, column=si + 1).font = NFONT
+
+    # Column 14 (0-indexed): 原TBOX里程(km) - old actual mileage
+    tbox = float(rec.get('实际行驶里程(km)', 0) or 0)
+    ws.cell(row=r, column=15, value=tbox).border = BORD
+    ws.cell(row=r, column=15).alignment = CC
+    ws.cell(row=r, column=15).font = NFONT
+
+    # Column 15 (0-indexed:16): 实际行驶里程(km) - GPS for intv, TBOX for others
+    target_km = float(rec.get('应考核里程(km)', 0) or 0)
+    if is_intv:
+        new_actual = plate_gps.get(plate, 0)
+    else:
+        new_actual = tbox
+
+    cell_actual = ws.cell(row=r, column=16, value=new_actual)
+    cell_actual.border = BORD
+    cell_actual.alignment = CC
+    cell_actual.font = NFONT
+
+    # Column 16 (0-indexed:17): 测试里程(km) = TBOX - GPS
+    test_km = round(tbox - new_actual, 2) if is_intv else 0
+    ws.cell(row=r, column=17, value=test_km).border = BORD
+    ws.cell(row=r, column=17).alignment = CC
+    ws.cell(row=r, column=17).font = NFONT
+
+    # Column 17 (0-indexed:18): 完成率(%)
+    rate = round(new_actual / target_km * 100, 2) if target_km > 0 else 0
+    ws.cell(row=r, column=18, value=rate).border = BORD
+    ws.cell(row=r, column=18).alignment = CC
+    ws.cell(row=r, column=18).font = NFONT
+
+    # Column 18 (0-indexed:19): 是否达标
+    new_pass = '达标' if new_actual >= target_km and target_km > 0 else '未达标'
+    ws.cell(row=r, column=19, value=new_pass).border = BORD
+    ws.cell(row=r, column=19).alignment = CC
+    ws.cell(row=r, column=19).font = NFONT
+
+    # Column 19 (0-indexed:20): 考核状态
+    val = rec.get('考核状态')
+    ws.cell(row=r, column=20, value=val if val else '进行中').border = BORD
+    ws.cell(row=r, column=20).alignment = CC
+    ws.cell(row=r, column=20).font = NFONT
+
+    # Columns 20-22 (0-indexed): 交车日期, 预计还车日期, 实际还车日期
+    for si in range(18, 21):
+        val = rec.get(src_h[si])
+        if val is not None:
+            ws.cell(row=r, column=si + 1 + 5, value=val)  # +5 offset for new cols
+        else:
+            ws.cell(row=r, column=si + 1 + 5, value='')
+        ws.cell(row=r, column=si + 1 + 5).border = BORD
+        ws.cell(row=r, column=si + 1 + 5).alignment = CC
+        ws.cell(row=r, column=si + 1 + 5).font = NFONT
+
+    # ── Formatting: yellow for intervention, red for GPS=0 ──
+    if is_intv:
+        for c in range(1, len(new_h) + 1):
+            cell = ws.cell(row=r, column=c)
+            # Don't override red cells
+            existing_fill = cell.fill
+            is_red = (existing_fill.patternType == 'solid' and
+                      existing_fill.start_color and
+                      existing_fill.start_color.rgb and
+                      'FF0000' in str(existing_fill.start_color.rgb))
+            if not is_red:
+                cell.fill = YELLOW
+            else:
+                # Red stays, but also yellow background? No, red means GPS=0, keep it
+                pass
+
+        # Red highlight for GPS=0
+        if plate_gps.get(plate, 0) == 0:
+            ws.cell(row=r, column=16).fill = RED  # 实际行驶里程 column
+            ws.cell(row=r, column=16).font = REDF
+
+# Column widths
+widths = [12, 8, 8, 12, 10, 26, 18, 22, 10, 22, 13, 13, 10, 14, 16, 16, 14, 12, 10, 8, 12, 12, 12]
+for i, w in enumerate(widths):
+    ws.column_dimensions[get_column_letter(i+1)].width = w
+
+# ── Save ──
+wb.save(OUT)
+print(f"\n✅ 已保存: {OUT} ({len(records)} rows, {len(new_h)} cols)")
+
+# ── Stats ──
+old_p = sum(1 for r in records if str(r.get('是否达标','')).strip() == '达标')
+new_p = 0
+flip_down = []
+flip_up = []
+for rec in records:
+    p = str(rec['车牌号']).strip()
+    tgt = float(rec.get('应考核里程(km)', 0) or 0)
+    old_status = str(rec.get('是否达标','')).strip()
+    if p in yellow_plates:
+        actual = plate_gps.get(p, 0)
+    else:
+        actual = float(rec.get('实际行驶里程(km)', 0) or 0)
+    n = '达标' if actual >= tgt and tgt > 0 else '未达标'
+    if n == '达标':
+        new_p += 1
+    if old_status == '达标' and n == '未达标':
+        flip_down.append((p, float(rec.get('实际行驶里程(km)',0) or 0), actual, tgt))
+    elif old_status == '未达标' and n == '达标':
+        flip_up.append((p, float(rec.get('实际行驶里程(km)',0) or 0), actual, tgt))
+
+print(f"达标变化: {old_p} -> {new_p} ({new_p - old_p:+d})")
+print(f"达→未达标: {len(flip_down)} 辆")
+for p, tb, gp, tg in flip_down[:10]:
+    print(f"  {p} TBOX={tb:.1f} GPS={gp:.2f} 目标={tg:.0f}")
+print(f"未→达标: {len(flip_up)} 辆")
+for p, tb, gp, tg in flip_up[:10]:
+    print(f"  {p} TBOX={tb:.1f} GPS={gp:.2f} 目标={tg:.0f}")