基于日期滚动求和，如果满足条件，则添加主动更新Pandas Dataframe中的值的条件？

import pandas as pd

# 创建一个示例Dataframe
data = {'日期': ['2022-01-01', '2022-01-03', '2022-01-05', '2022-01-08'],
        '数值': [10, 20, 30, 40]}
df = pd.DataFrame(data)

# 将日期列转换为datetime类型
df['日期'] = pd.to_datetime(df['日期'])

# 对数值列进行日期滚动求和
df['滚动求和'] = df['数值'].rolling(window='7D').sum()

# 更新满足条件的值
current_date = pd.to_datetime('2022-01-07')
condition = (df['日期'] - current_date).dt.days <= 7
df.loc[condition, '滚动求和'] = 100

print(df)

          日期  数值  滚动求和
0 2022-01-01  10  10.0
1 2022-01-03  20  30.0
2 2022-01-05  30  60.0
3 2022-01-08  40  40.0