def process(self, currentTimeStep, currentTopics, currentUsers, **conf):
if not currentTopics: Topic.addNewTopics(currentTopics, conf.get('noOfTopics', 5000))
random.shuffle(currentUsers)
for user in currentUsers:
message = self.messageSelectionMethod(currentTimeStep, user, currentTopics, **conf)
if message:
topic = message.topic
topic.countDistribution[currentTimeStep]+=1
topic.totalCount+=1
self.topicToMessagesMap[topic.id].append(message)
self.totalMessages+=1
if message.payLoad.isSpam: self.messagesWithSpamPayload+=1
self.topicsDistributionInTheTimeSet[topic.id]+=1
def run(model, numberOfTimeSteps=100, addUsersMethod=User.addNormalUsers, noOfUsers=10000, analysisMethods = [], **conf):
currentTopics, currentUsers = [], []
addUsersMethod(currentUsers, noOfUsers, **conf)
random.shuffle(currentUsers)
conf['spamDectectionMethod'] = SpamDetectionModel.filterMethod
analysis = []
for method, frequency in analysisMethods: analysis.append(FixedIntervalMethod(method, frequency))
for currentTimeStep in range(numberOfTimeSteps):
print currentTimeStep
Topic.incrementTopicAge(currentTopics)
model.process(currentTimeStep, currentTopics, currentUsers, **conf)
for method in analysis: method.call(currentTimeStep, iterationData=(currentTimeStep, model, currentTopics, currentUsers, False, conf))
currentTimeStep+=1
for method in analysis: method.call(currentTimeStep, iterationData=(currentTimeStep, model, currentTopics, currentUsers, True, conf))
def test_generate(self):
topics = []
Topic.addNewTopics(topics, 2)
Topic.addNewTopics(topics, 5)
self.assertEqual(7, len(topics))
for i in range(7): self.assertEqual(i, topics[i].id)
