python-3.x - 如何模拟 aws 时间流以在 python 上进行单元测试？

Question

我在网上找到了一个测试 aws timestream 服务的示例；当我尝试启动测试时，我得到一个 NoRegionError

#test_timestream.py

import logging
from datetime import datetime
import pandas as pd 
import awswrangler as wr
import logging
from datetime import datetime
import pandas as pd
import awswrangler as wr

logging.getLogger("awswrangler").setLevel(logging.DEBUG)

def test_basic_scenario(timestream_database_and_table):
    name = timestream_database_and_table
    df = pd.DataFrame(
       {
        "time": [datetime.now(), datetime.now(), datetime.now()],
        "dim0": ["foo", "boo", "bar"],
        "dim1": [1, 2, 3],
        "measure": [1.0, 1.1, 1.2],
       }
   )
   rejected_records = wr.timestream.write(
        df=df,
        database=name,
        table=name,
        time_col="time",
        measure_col="measure",
        dimensions_cols=["dim0", "dim1"],
   )
   assert len(rejected_records) == 0
   df = wr.timestream.query(
        f"""
          SELECT
             1 as col_int,
             try_cast(now() as time) as col_time,
             TRUE as col_bool,
             current_date as col_date,
             'foo' as col_str,
             measure_value::double,
             measure_name,
             time
             FROM "{name}"."{name}"
             ORDER BY time
             DESC LIMIT 10
        """
   )
   assert df.shape == (3, 8)

错误 在此处输入图像描述

如何解决问题？因为即使是“moto”库也不提供 aws 服务的模拟？