# simulate different request coming into the system
from WebServer import WebServer, Request, Action
configMap = {"numberToServe": 10, "data_dir": "DATA"}
server = WebServer(configMap)
server.start(
) # load all the data in the database, start the first model training
# now experiment
reqX1 = Request(userId='X1')
req1 = Request(userId=1)
print(reqX1)
print(req1)
recX1 = server.renderRec(reqX1) # output recommendations
print(recX1)
rec1 = server.renderRec(req1) # output recommendations
print(rec1)
# now we start an action
action1 = Action(1, 255, 5) # user 1 rated item 255 as score 5
print(server.getFromInventory(255)) # find out the name of item 255
server.getAction(action1) # feed the action to the server
rec1_afteraction = server.renderRec(
req1) # get recommendation after the system knows about the action
print(rec1_afteraction)
actionX1 = Action('X1', 123,
5) # anonymous user's action won't be saved in database
