def test_simpleAgent(agentType, expected_monitor_results):
#start agent network server
agentNetwork = AgentNetwork(dashboard_modules=False)
#init agents by adding into the agent network
simple_agent = agentNetwork.add_agent(agentType=agentType)
monitor_agent_1 = agentNetwork.add_agent(agentType=MonitorAgent)
#shorten n wait loop time
simple_agent.init_agent_loop(0.01)
#connect agents
agentNetwork.bind_agents(simple_agent, monitor_agent_1)
# set all agents states to "Running"
agentNetwork.set_running_state()
time.sleep(test_timeout)
# test to see if monitor agents have received the correct data
assert str(
monitor_agent_1.get_attr('memory')) == str(expected_monitor_results)
# shutdown agent network
agentNetwork.shutdown()
time.sleep(3)
def test_remove_agent():
#start agent network server
agentNetwork = AgentNetwork(dashboard_modules=False)
#init agents by adding into the agent network
dummy_agent1 = agentNetwork.add_agent(agentType=AgentMET4FOF)
dummy_agent2 = agentNetwork.add_agent(agentType=AgentMET4FOF)
dummy_agent3 = agentNetwork.add_agent(agentType=AgentMET4FOF)
dummy_agent4 = agentNetwork.add_agent(agentType=AgentMET4FOF)
agentNetwork.bind_agents(dummy_agent1, dummy_agent2)
agentNetwork.bind_agents(dummy_agent1, dummy_agent3)
agentNetwork.bind_agents(dummy_agent1, dummy_agent4)
agentNetwork.bind_agents(dummy_agent4, dummy_agent2)
agentNetwork.bind_agents(dummy_agent3, dummy_agent4)
agentNetwork.bind_agents(dummy_agent2, dummy_agent4)
agentNetwork.remove_agent(dummy_agent1)
agentNetwork.remove_agent(dummy_agent2)
agentNetwork.remove_agent(dummy_agent3)
agentNetwork.remove_agent(dummy_agent4)
time.sleep(2)
assert len(agentNetwork.agents()) == 0
agentNetwork.shutdown()
def test_send_plot():
# start agent network server
agentNetwork = AgentNetwork(dashboard_modules=False)
# init agents
gen_agent = agentNetwork.add_agent(agentType=GeneratorAgent)
monitor_agent = agentNetwork.add_agent(agentType=MonitorAgent)
agentNetwork.bind_agents(gen_agent, monitor_agent)
gen_agent.dummy_send_graph()
time.sleep(3)
assert monitor_agent.get_attr('plots')['GeneratorAgent_1']
agentNetwork.shutdown()
def test_zema_emc_lda_agents():
np.random.seed(100)
#start agent network server
agentNetwork = AgentNetwork(dashboard_modules=False)
#init agents by adding into the agent network
datastream_agent = agentNetwork.add_agent(agentType=DataStreamAgent)
train_test_split_agent = agentNetwork.add_agent(
agentType=TrainTestSplitAgent)
fft_bfc_agent = agentNetwork.add_agent(agentType=FFT_BFCAgent)
pearson_fs_agent = agentNetwork.add_agent(
agentType=Pearson_FeatureSelectionAgent)
lda_agent = agentNetwork.add_agent(agentType=LDA_Agent)
evaluator_agent = agentNetwork.add_agent(agentType=EvaluatorAgent)
monitor_agent = agentNetwork.add_agent(agentType=MonitorAgent)
#init parameters
datastream_agent.init_parameters(ZEMA_DataStream())
train_test_split_agent.init_parameters(train_ratio=0.8)
#bind agents
agentNetwork.bind_agents(datastream_agent, train_test_split_agent)
agentNetwork.bind_agents(train_test_split_agent, fft_bfc_agent)
agentNetwork.bind_agents(fft_bfc_agent, pearson_fs_agent)
agentNetwork.bind_agents(pearson_fs_agent, lda_agent)
agentNetwork.bind_agents(lda_agent, evaluator_agent)
#bind to monitor agents
agentNetwork.bind_agents(fft_bfc_agent, monitor_agent)
agentNetwork.bind_agents(pearson_fs_agent, monitor_agent)
agentNetwork.bind_agents(lda_agent, monitor_agent)
agentNetwork.bind_agents(evaluator_agent, monitor_agent)
#trigger datastream to send all at once
datastream_agent.send_all_sample()
time.sleep(timeout_wait)
assert lda_agent.get_attr('lda_test_score') == 0.8204924543288324
agentNetwork.shutdown()