I am using a get_timeseries() function in a loop over a long list of stocks and get different errors depending on context (I am aware of the reasons for the errors):
- No data available for the requested data range.
- Client Error: Too many requests, please try again later
Is there a way to handle these errors differently? For example, I want skip the iteration that returns "no data available" and completely stop the loop execution if "too many requests" error shows, something like this
for ticker in ticker_list: try: prices = ek.get_timeseries(ticker, interval = 'daily) except NoDataAvailableError: continue except ClientError: break
Eikon Data API raises EikonError error.
This is the sample code to catch it: (I simulated 2 cases, too many ric and invalid ric)
Under the except ek.EikonError, you can handle it according to your requirement.
To either break or continue your loop.
I am actually looking for the specific handles or codes for the errors that Eikon API throws in these two cases: (1) "no data available for the data range" (2) "too many requests", so that I can distinguish between them. The exception handles "NoDataAvailableError" and "ClientError" are just some random names I came up with as an example for illustrative purposes. I do not know what the actual Eikon error handles are for these two cases. Like the different Python build-in exceptions such as ValueError or ZeroDivisionError, that's what I am looking for.