Temporary fix sensor test
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311342e17e
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@ -169,7 +169,7 @@ class City:
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self._buildings = []
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self._buildings = []
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self._buildings.append(new_city_object)
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self._buildings.append(new_city_object)
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else:
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else:
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raise NotImplementedError
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raise NotImplementedError(new_city_object.type)
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def remove_city_object(self, city_object):
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def remove_city_object(self, city_object):
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"""
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"""
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@ -39,7 +39,12 @@ class TestSensorsFactory(TestCase):
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buildings.append(Building("EV", lod, surfaces, year_of_construction, function, lower_corner))
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buildings.append(Building("EV", lod, surfaces, year_of_construction, function, lower_corner))
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buildings.append(Building("GM", lod, surfaces, year_of_construction, function, lower_corner))
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buildings.append(Building("GM", lod, surfaces, year_of_construction, function, lower_corner))
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city = City(lower_corner, upper_corner, srs_name)
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city = City(lower_corner, upper_corner, srs_name)
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city.add_city_object(CityObject("GM_MB_EV", lod, surfaces, lower_corner))
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#virtual_building = CityObject("GM_MB_EV", lod, surfaces, lower_corner)
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#virtual_building.type = 'Virtual'
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#city.add_city_object(virtual_building)
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for building in buildings:
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city.add_city_object(building)
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return city
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return city
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def test_city_with_sensors(self):
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def test_city_with_sensors(self):
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@ -47,9 +52,7 @@ class TestSensorsFactory(TestCase):
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SensorsFactory('cgf', self._city, self._end_point).enrich()
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SensorsFactory('cgf', self._city, self._end_point).enrich()
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SensorsFactory('ct', self._city, self._end_point).enrich()
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SensorsFactory('ct', self._city, self._end_point).enrich()
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for city_object in self._city.city_objects:
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for city_object in self._city.city_objects:
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print(city_object.name)
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for sensor in city_object.sensors:
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for sensor in city_object.sensors:
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print(sensor.name)
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# force update last row
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# force update last row
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update = pd.DataFrame([['2020-01-19 23:55:00', '12345.0']], columns=["Date time", "Energy consumption"])
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update = pd.DataFrame([['2020-01-19 23:55:00', '12345.0']], columns=["Date time", "Energy consumption"])
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update = update.astype({"Date time": 'datetime64', "Energy consumption": 'float64'})
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update = update.astype({"Date time": 'datetime64', "Energy consumption": 'float64'})
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