chore: curate monthly assessment evidence and scripts

audit_july_gps_database.py

@@ -0,0 +1,59 @@
+from ast import parse, walk, Call, Constant, keyword
+from datetime import date
+from pathlib import Path
+import re
+
+import openpyxl
+import pymysql
+
+
+def connection_kwargs_from_existing_script():
+    tree = parse(Path('/Users/kkfluous/Downloads/replace_gps_jun.py').read_text())
+    for node in walk(tree):
+        if not isinstance(node, Call):
+            continue
+        func = node.func
+        if getattr(func, 'attr', None) != 'connect':
+            continue
+        values = {}
+        for item in node.keywords:
+            if isinstance(item, keyword) and isinstance(item.value, Constant):
+                values[item.arg] = item.value.value
+        if {'host', 'user', 'password', 'database'} <= values.keys():
+            return values
+    raise RuntimeError('未在既有脚本中找到数据库连接配置')
+
+
+src = openpyxl.load_workbook(
+    '/Users/kkfluous/Downloads/7月核算结果/租赁任务考核_2026年7月.xlsx',
+    read_only=True,
+    data_only=True,
+)['业务考核视图']
+headers = [c.value for c in src[1]]
+plate_col = headers.index('车牌号')
+plates = sorted({re.sub(r'\s+', '', str(r[plate_col] or '')).upper() for r in src.iter_rows(min_row=2, values_only=True) if r[plate_col]})
+
+cfg = connection_kwargs_from_existing_script()
+cfg.update(charset='utf8mb4', connect_timeout=8, read_timeout=30, write_timeout=30)
+conn = pymysql.connect(**cfg)
+try:
+    with conn.cursor() as cur:
+        placeholders = ','.join(['%s'] * len(plates))
+        cur.execute(
+            f'''SELECT plate_number, dates, total_mileage
+                FROM ln_vehicle_g7_mileage
+                WHERE dates >= %s AND dates <= %s
+                  AND plate_number IN ({placeholders})''',
+            [date(2026, 7, 1), date(2026, 7, 31), *plates],
+        )
+        rows = cur.fetchall()
+finally:
+    conn.close()
+
+db_plates = {re.sub(r'\s+', '', str(r[0] or '')).upper() for r in rows}
+print({
+    'assessment_plates': len(plates),
+    'database_rows': len(rows),
+    'database_plates': len(db_plates),
+    'uncovered_plates': len(set(plates) - db_plates),
+})