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Hi Guoying,thank you for the quick response. I now tried using size 10 and now it seems working. Do you any advice for gathering the data in the best way possible?Thank you in advance.Francesco
Francesco BeghiniLaboratory of Computational MetagenomicsUniversity of Trento
On Wed, May 2, 2018 at 11:58 AM, G Qi <guoy...@gmail.com> wrote:
Hello there.Currently we don't limit the requests but your particular query is causing our server very high CPU usage and that is why some of your requests failed.Could you please limit your request under 20 each time to see works or not? Don't continue to try if not working. We are working a best way for you to get your data.Thank you very much!Guoying
On Wednesday, 2 May 2018 08:38:20 UTC+1, francesc...@unitn.it wrote:Hi everyone,I'm trying to retrieve UniParc entries by UniParc Proteomes ID using Python, requests and asyncio. For example, when retrieving entries from UPID UP000025660, I can make only 33 requests (size 100), and when I try to make the 34th request, I get a HTTP 500 Server Error. Is there any kind of limitation of requests per minute?The code I use is the following: https://pastebin.com/Wx1u1hb8Thanks
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