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Do you have any plan to support native async features of Python for the client?
e.g. something in the lines of:
importasyncioimportrandomfromrecombee_api_client.api_clientimportAsyncRecombeeClient, Regionfromrecombee_api_client.exceptionsimportAPIExceptionfromrecombee_api_client.api_requestsimport*asyncdefmain():
client=AsyncRecombeeClient('--my-database-id--', '--db-private-token--', region=Region.US_WEST)
#Generate some random purchases of items by usersPROBABILITY_PURCHASED=0.1NUM=100purchase_requests= []
foruser_idin ["user-%s"%iforiinrange(NUM) ]:
foritem_idin ["item-%s"%iforiinrange(NUM) ]:
ifrandom.random() <PROBABILITY_PURCHASED:
request=AddPurchase(user_id, item_id, cascade_create=True)
purchase_requests.append(request)
try:
# Send the data to Recombee, use Batch for faster processing of larger dataprint('Send purchases')
awaitclient.send(Batch(purchase_requests))
# Get recommendations for user 'user-25'response=awaitclient.send(RecommendItemsToUser('user-25', 5))
print("Recommended items: %s"%response)
# User scrolled down - get next 3 recommended itemsresponse=awaitclient.send(RecommendNextItems(response['recommId'], 3))
print("Next recommended items: %s"%response)
exceptAPIExceptionase:
print(e)
asyncio.run(main())
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