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Hi,
I get the following error while conducting a heavy loop:
The loop I am conducting looks like this:
I dívided the ~12,000 firms to groups of 500 to avoid the limit for 10,000 data points per search since I search with 17 fields/data items. How could I best implement the search to all of the 12,000 firms or fix the error occuring?
Many thanks for any advice!
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Thanks,
AHS
Hi @CodeWave
You can use try, except code block to handle error.
try: df,err = ek.get_data(...) except ek.EikonError: //do something, perhaps retry the request again after some period of time
Ok. Thanks! But what is causing the problem so I can prevent the error in the first place? Meanwhile, I will try to make a try-expect structure to handle the issue.
There are a lot of possible factors such as network, service availability on server side, etc...
So implementing try, except code block is safer.
Please also note that there is a 5-requests-per-second limitation as well, (please review the API limitation document at this URL, https://developers.refinitiv.com/eikon-apis/eikon-data-api/docs?content=49692&type=documentation_item
Hi,
Okay. Could you provide a short example or refer to a thread where there is an example provided of such a try-expect structure that works efficiently?
Many thanks.
Hi @CodeWave
Have you tried adding a sleep() between each get_data() call?
I am not an expert on the inner workings of the Eikon API, however, the trace you shared mentions server errors around when the json request is sent to the server.
No, I had not tried. Thanks for the tip! I think i will try using a try-expect structure and also use sleep between each iteration for chunked firm lists. We'll see how that works out.
