def _randomSemanticClass(): randID = random.randint(0, 100) possibleTypes = ( semantics.Discrete(f"Button {randID}"), semantics.LCDDisplay(f"LCD {randID}"), semantics.ContinuousDial(f"ContinuousDial {randID}",0,180,7,11), ) return random.choice(possibleTypes)
def create_voltmeter(pixels, range_d=(-30, 30), val_d=(0, 15)): r = SC.ContinuousDial('voltmeter', range_d[0], range_d[1], val_d[0], val_d[1]) r.measure_func = lambda so: B3.voltmeter.get_voltmeter_angle(so.np) return r
def create_dial(pixels, typeof_dial='cont'): range_d, val_d = dial_dic[typeof_dial] r = SC.ContinuousDial(typeof_dial + ' dial', range_d[0], range_d[1], val_d[0], val_d[1]) r.measure_func = lambda so: B3.dial.get_angle(so.np) return r
msg['From'] = "*****@*****.**" msg['To'] = to sendEmail(msg) if __name__ == "__main__": #from DataCollation.SemanticOutputMap import _randomSemanticClass as randSemantic test = Sem.Discrete("Fan Oven Status") test.value = True # print(test.meaning, test.value) # print(test._valueMap) Switchvalue = Sem.Discrete("Oven Power", { 0: "left", 1: "middle", 2: "right" }) Switchvalue.value = 1 #print(Switchvalue.meaning, Switchvalue.value) Needle_test = Sem.ContinuousDial("Voltage", 20, -20, 40, 0) Needle_test.value = 10 #print(Needle_test.meaning, Needle_test.value) Example_semanticmap = {"ID1": Needle_test, "ID2": test, "ID3": Switchvalue} Example_conditionsmap = {"ID1": [5, 25], "ID2": "On", "ID3": "middle"} dispatchFaultMessage(Example_conditionsmap, Example_semanticmap, "*****@*****.**")
# -*- coding: utf-8 -*- from E3.Fault_Conditions import ConditionCheck import DataCollation.Semantic_Class as sem from Email import dispatchFaultMessage from UserInput import ConditionMapCreator import pandas as pd example_button = sem.Discrete("BOILER ON") example_button.value = True example_three_state = sem.Discrete("BOILER MODE", { -45: "LEFT", 0: "MIDDLE", 45: "RIGHT" }) example_three_state.value = 20 example_needle = sem.ContinuousDial("HEAT GAUGE", -30, 30, 0, 20) example_needle.value = -29 example_semantic_map = { 1: example_button, 2: example_three_state, 3: example_needle } file = pd.read_csv( r"C:\Users\Tomos\Documents\Programming, Projects\Python\IfM Hackathon\conditions.csv" ) ConditionMaps = ConditionMapCreator(example_semantic_map, file) testmap = ConditionMaps[1] ConditionCheck(testmap, example_semantic_map)