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)