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Datastream Python API - ConnectionError

I have experienced in the last couple of days a problem with the Datastream Python API. If I want to download a list of fields (for instance RIC code, ISIN code etc.) providing a list of Datastream codes in the get_data function, I get the following error message:

ConnectionError: HTTPConnectionPool(host='datastream.thomsonreuters.com', port=80): Max retries exceeded with url: /DswsClient/V1/DSService.svc/rest/Data?token=kIMfHviia3V7Lo1vpCmD7s2jg2mOrdXPg3fqa%2FSTR5KsHCzRejTR9DlSYINMSbFCmqXmAXyAD5tj%2FvbHJvf9ZZ68tK0XgAUO3jlU5%2BokNLBlohLc9yXsMt%2BSpJ1EDRXqzFDOtuNeRstnOs6%2Fl0tpQKsisnxou4GO7yQ6sWZRw0cdJyZl6P3Z%2FrTcIbMJPAChI3j61dWt%2FbmvQuTNrukMIQoUfsnThQYICbFJA%2B%2BqOB8%3D22EB4EB81E7B9909534E63CDA68E8A94D9083132&instrument=325972&datatypes=NAME%2C+RIC%2C+ISIN%2C+ESTAT&datekind=Snapshot&start=&end=&freq= (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x00000000107135C0>: Failed to establish a new connection: [WinError 10013] An attempt was made to access a socket in a way forbidden by its access permissions',))

I also tried to loop through the DS codes, such that I ask the info related to one stock per cycle, but still I sometimes get the same error, by the way totally random, in the sense that each time it stops at a different stock. I thought it was a problem related to the maximum amount of data points per request, but this randomness seems to exclude this cause.

The same code which now gives problems was perfectly working until three days ago, and I did not change anything on my side.

Could you please help me?

pythondatastream-apidsws-apiconnectionrequest
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@ET2
It seems that TR Support investigated the issue you reported, concluded that the problem you experienced stems from your code and closed the service case. I'm closing this thread as well. If you need any further assistance with this or any other issue, please start a new thread.

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@ET2
I have created a service case 06765940 on your behalf with Thomson Reuters Support. You will be contacted by TR Helpdesk to investigate and troubleshoot the issue.

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