Backend Error 400 - python API - way to avoid?
Hi, I got always the same problem running a python script.
My RIC list is split into subsequences to allow the run.
How can I overcome this issue?
Best Answer
-
@ilaria.leoni2 Thanks for your question and sorry to hear about your issue. So I cannot see the size of the field list (val_items) that you are using - but in general the guidance for per API call limits is given in this document. Generally you should try to code defensively in a try-except type structure where you can capture errors and try to re-present the failing API calls. Also consider the timing of the calls - around market opens is when loads on services are highest and can result in such errors.
instruments = ['CAD=','US2YT=RR','CA2YT=RR']
s = '2012-01-06'
e = '2023-03-01'
inv = 'daily'
data1 = pd.DataFrame()
for i in instruments:
succeed = False
while succeed == False:
try:
df1 = ek.get_timeseries(i, # RICs
fields=['CLOSE'], # fields to be retrieved
start_date=s, # start time
end_date=e, # end time
interval=inv)
df1.rename(columns = {'CLOSE': i}, inplace = True)
if len(data1):
data1 = pd.concat([data1, df1], axis=1)
else:
data1 = df1
succeed = True
except:
time.sleep(0.2)
else:
break
else:
var = "p"
data1This is an example to show you how it might be implemented - you can swap the API call out with your one. I hope this can help.
1
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