I have to limit my API request to 10 calls per minute, how can I modify the for loops to accomplish this?
I am trying to add in time.sleep(8)
in the for observation
loop without any luck... Any ideas?
import arrow # learn more: https://python.org/pypi/arrow
from WunderWeather import weather # learn more: https://python.org/pypi/WunderWeather
import time
api_key = ''
extractor = weather.Extract(api_key)
zip = '53711'
# get 20170101 00:00
begin_date = arrow.get("2017","YYYY")
# get 20171231 23:00
end_date = arrow.get("2018","YYYY").shift(hours=-1)
for date in arrow.Arrow.range('hour',begin_date,end_date):
# get date object for feature
# http://wunderweather.readthedocs.io/en/latest/WunderWeather.html#WunderWeather.weather.Extract.date
date_weather = extractor.date(zip,date.format('YYYYMMDD'))
# use shortcut to get observations and data
# http://wunderweather.readthedocs.io/en/latest/WunderWeather.html#WunderWeather.date.Observation
for observation in date_weather.observations:
time.sleep(8)
print("Date:",observation.date_pretty)
print("Temp:",observation.temp_f)
A possible explanation of why you are still exceeding the API limit might have to do with the line on which you are adding the time wait. If the API response you are getting contains no observations, the inner loop won't execute. So first I would try to move the time wait in the outer loop right after the API call.
You might also consider using something like loopingCall from twisted to schedule your task to run every X seconds http://twistedmatrix.com/documents/9.0.0/core/howto/time.html