增加 start_time 参数的问题

Question

我在增加 start_time 变量中的时间时遇到问题。 我试图拥有它，所以每次循环它都会增加 5 秒。 我想如果我将它转换为时间戳并将 5000 添加到它，然后转换回 iso 就可以了，但它不会出现错误：

File "snaps.py", line 36, in <module>
    stamp += 5000
TypeError: unsupported operand type(s) for +=: 'datetime.datetime' and 'int'

导入请求 import json import pandas as pd import os import dateutil.parser import time

instrument = ('btc-usd')
exchange = ('cbse')  
start_time = '2021-01-26T00:00:00Z'
stamp = dateutil.parser.parse(start_time)
d_range = 'Jan-14-16' 
page_size = '1'

url = f'https://us.market-api.kaiko.io/v2/data/order_book_snapshots.v1/exchanges/{exchange}/spot/{instrument}/snapshots/depth'
params = { 'page_size': page_size, 'start_time': start_time }
KEY = 'xxx'
headers = {
    "X-Api-Key": KEY,
    "Accept": "application/json",
    "Accept-Encoding": "gzip"
}

csv_file = f"Snapshot-{start_time}.csv"
snapshot = 0

while(snapshot <= 100):
    res = requests.get(url, params=params, headers=headers)
    j_data = res.json()
    parse_data = j_data['data']  
   
    # create dataframe
    df = pd.DataFrame.from_dict(pd.json_normalize(parse_data), orient='columns')
    #df.insert(1, 'time', pd.to_datetime(df.timestamp.astype(int),unit='ms'))    
    snapshot += 1
    stamp += 5000
    start_time= datetime.datetime.fromtimestamp(stamp).isoformat()
    #that means file already exists need to append
    if(csv_file in os.listdir()): 
        csv_string = df.to_csv(index=False, encoding='utf-8', header=False)
        with open(csv_file, 'a') as f:
            f.write(csv_string)
    #that means writing file for the first time        
    else: 
        csv_string = df.to_csv(index=False, encoding='utf-8')
        with open(csv_file, 'w') as f:
            f.write(csv_string)