def testAccuracyRlai(self):
#Test if hour when max people in room is 7pm ie 19hr for 14 feb 2019
r = Reinforcement('2019-02-14.csv', True)
sen_files = r.get_sensor_original_file()
r.parse_file(sen_files)
out = r.q_learning()
self.assertEqual(out, "19")
def testCalcPeakTimeMethod(self):
r = Reinforcement('2019-02-14.csv', True)
sen_files = r.get_sensor_original_file()
r.parse_file(sen_files)
time = r.calc_peak_time(r.humiditydict['2019-02-14.csv'])
expectedDate = datetime(2019, 2, 14, 19, 47, 1)
self.assertEqual(time, expectedDate)
def update_humidity_graph(selcted_date):
file_name = file_download_csv(selcted_date)
df = pd.read_csv(file_name, sep=',', parse_dates=['Time'])
df = df.sort_values(by='Time')
r = Reinforcement(file_name, False)
sen_files = r.get_sensor_original_file()
r.parse_file(sen_files)
out = r.q_learning()
time = selcted_date + " " + str(out) + ":00:00"
qdate = datetime.strptime(time, "%Y-%m-%d %H:%M:%S")
endtime = selcted_date + " " + str(int(out) + 1) + ":00:00"
endtime = datetime.strptime(endtime, "%Y-%m-%d %H:%M:%S")
df1 = df[(df.Time > qdate) & (df.Time < endtime)]
return {
'data': [{
'x': df.Time,
'y': df.Humidity,
'name': 'Humidity',
'scatter': {
'width': 1
}
}, {
'x': df1.Time,
'y': df1.Humidity,
'name': 'Max people',
'scatter': {
'width': 1
}
}],
'layout': {
'title': 'Humidity',
'xaxis': {
'title': 'Time'
},
'yaxis': {
'title': 'Humidity'
}
}
}
def update_temp_graph(selcted_date, tab):
file_name = file_download_csv(selcted_date)
df = pd.read_csv(file_name, sep=',', parse_dates=['Time'])
df = df.sort_values(by='Time')
r = Reinforcement(file_name, True)
sen_files = r.get_sensor_original_file()
result = r.parse_file(sen_files)
if result:
out = r.q_learning()
time = selcted_date + " " + str(out) + ":00:00"
qdate = datetime.strptime(time, "%Y-%m-%d %H:%M:%S")
endtime = selcted_date + " " + str(int(out) + 1) + ":00:00"
endtime = datetime.strptime(endtime, "%Y-%m-%d %H:%M:%S")
df1 = df[(df.Time > qdate) & (df.Time < endtime)]
if tab == 'tab-1':
return html.Div([
dcc.Graph(id='graph-1-tabs',
figure={
'data': [{
'x': df.Time,
'y': df.Temperature,
'scatter': {
'width': 1,
'shape': 'spline'
}
}],
'layout': {
'xaxis': {
'title': 'Time'
},
'yaxis': {
'title': 'Temperature'
}
}
})
])
elif tab == 'tab-2':
return html.Div([
dcc.Graph(id='graph-2-tabs',
figure={
'data': [{
'x': df.Time,
'y': df.Humidity,
'name': 'Humidity',
'scatter': {
'width': 1
}
}, {
'x': df1.Time,
'y': df1.Humidity,
'name': 'Max people',
'scatter': {
'width': 1
}
}],
'layout': {
'xaxis': {
'title': 'Time'
},
'yaxis': {
'title': 'Humidity'
}
}
})
])
elif tab == 'tab-3':
return html.Div([
dcc.Graph(id='graph-1-tabs',
figure={
'data': [{
'x': df.Time,
'y': df.Pressure,
'line': {
'width': 1,
'shape': 'spline'
}
}],
'layout': {
'xaxis': {
'title': 'Time'
},
'yaxis': {
'title': 'Pressure'
}
}
})
])
def testValidFile(self):
#Test if valid file is read and return
r = Reinforcement("2019-02-14.csv", False)
result = r.get_sensor_original_file()
self.assertEqual("2019-02-14.csv", result.name)
def testInvalidFile(self):
#Test if system exit with code 1 on invalid file name
with self.assertRaises(SystemExit) as context:
r = Reinforcement("Badfile123.txt", False)
r.get_sensor_original_file()
self.assertEqual(context.exception.code, 1)
def testDataPresent(self):
#Test if data present for selected date
r = Reinforcement('2019-02-14.csv', False)
sen_files = r.get_sensor_original_file()
result = r.parse_file(sen_files)
self.assertEqual(result, True)