limits_decorator = RateLimitDecorator(calls=15, period=FIFTEEN_MINUTES) call_api = limits_decorator(call_api) limits_decorator 是RateLimitDecorator 类的一个实例,但由于RateLimitDecorator 实现了__call__方法,所以类的实例也是callable 的,因此limits_decorator(call_api) 等价于limits_decorator.call(call_ap...
limits_decorator=RateLimitDecorator(calls=15,period=FIFTEEN_MINUTES)call_api=limits_decorator(call_api) limits_decorator 是RateLimitDecorator 类的一个实例,但由于RateLimitDecorator 实现了__call__方法,所以类的实例也是callable 的,因此limits_decorator(call_api) 等价于limits_decorator.call(call_api), 这...
我有同样的问题,我有一堆调用相同 API 的不同函数,我想在全球范围内进行速率限制。我最终做的是创建一个启用了速率限制的空函数。 PS: 我使用在这里找到的不同速率限制库: https ://pypi.org/project/ratelimit/ from ratelimit import limits, sleep_and_retry # 30 calls per minute CALLS = 30 RATE_LI...
from ratelimit import limits, sleep_and_retry ## Rate limit to help with overcalling ## pokemon api is 100 calls per 60 seconds max @sleep_and_retry @limits(calls=100, period=60) def call_api (url) : response = req.get(url) if response.status_code == 404 : return 'Not Found' ...
pipinstallratelimit 1. 4. 使用ratelimit库的例子 下面是一个使用ratelimit库的简单示例: fromratelimitimportlimits,sleep_and_retryimportrequests# 定义每分钟最多允许10个请求ONE_MINUTE=60MAX_CALLS=10@sleep_and_retry@limits(calls=MAX_CALLS,period=ONE_MINUTE)defcall_api():response=requests.get("print...
importccxt# 初始化交易所客户端(以币安为例)exchange = ccxt.binance({'apiKey':'YOUR_API_KEY','secret':'YOUR_API_SECRET','enableRateLimit':True,# 关键:防止API请求超限'options': {'adjustForTimeDifference':True# 自动校准时区} })# 获取市场数据markets = exchange.load_markets() ...
Requests rate limit exceeded, please try again later. 调用接口频率过高,已超出语音合成大模型的并发限制,详情请参见限流。 如需提升并发额度,请通过提交阿里云工单或加入开发者群进行申请。 InvalidApiKey Invalid API-key provided. API Key无效。 检查并确认API Key(在获取API Key的操作指引中可查看)是否正确,...
Be aware of the restrictions before enabling any automation that makes frequent calls. import tinytuya # Connect to Tuya Cloud # c = tinytuya.Cloud() # uses tinytuya.json c = tinytuya.Cloud( apiRegion="us", apiKey="xxxxxxxxxxxxxxxxxxxx", apiSecret="xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx", api...
Twitter API calls return decoded JSON. This is converted into a bunch of Python lists, dicts, ints, and strings. For example: x=twitter.statuses.home_timeline()# The first 'tweet' in the timelinex[0]# The screen name of the user who wrote the first 'tweet'x[0]['user']['screen_...
When calling an API, you can configure user-defined headers to meet specific needs. The SDK will automatically calculate the signature for the specified headers if needed