correct idf generation for shared walls
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bb121512c3
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@ -56,13 +56,18 @@ class GeometryHelper:
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'urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH': 'epsg:25832'
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}
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@staticmethod
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def factor():
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return 2.0
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def __init__(self, delta=0, area_delta=0):
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self._delta = delta
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self._area_delta = area_delta
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@staticmethod
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def coordinate_to_map_point(coordinate, city):
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return MapPoint(((city.upper_corner[0] - coordinate[0]) * 0.5), ((city.upper_corner[1] - coordinate[1]) * 0.5))
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def coordinate_to_map_point( coordinate, city):
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factor = GeometryHelper.factor()
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return MapPoint(((city.upper_corner[0] - coordinate[0]) * factor), ((city.upper_corner[1] - coordinate[1]) * factor))
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@staticmethod
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def city_mapping(city, building_names=None, plot=False):
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@ -76,8 +81,9 @@ class GeometryHelper:
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lines_information = {}
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if building_names is None:
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building_names = [b.name for b in city.buildings]
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x = int((city.upper_corner[0] - city.lower_corner[0]) * 0.5) + 1
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y = int((city.upper_corner[1] - city.lower_corner[1]) * 0.5) + 1
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factor = GeometryHelper.factor()
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x = int((city.upper_corner[0] - city.lower_corner[0]) * factor) + 1
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y = int((city.upper_corner[1] - city.lower_corner[1]) * factor) + 1
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city_map = [['' for _ in range(y + 1)] for _ in range(x + 1)]
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map_info = [[{} for _ in range(y + 1)] for _ in range(x + 1)]
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img = Image.new('RGB', (x + 1, y + 1), "black") # create a new black image
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@ -97,8 +103,8 @@ class GeometryHelper:
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distance = int(GeometryHelper.distance_between_points(coordinate, next_coordinate))
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if distance == 0:
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continue
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delta_x = (coordinate[0] - next_coordinate[0]) / (distance / 0.5)
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delta_y = (coordinate[1] - next_coordinate[1]) / (distance / 0.5)
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delta_x = (coordinate[0] - next_coordinate[0]) / (distance / factor)
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delta_y = (coordinate[1] - next_coordinate[1]) / (distance / factor)
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for k in range(0, distance):
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x = MapPoint(point.x + (delta_x * k), point.y + (delta_y * k)).x
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y = MapPoint(point.x + (delta_x * k), point.y + (delta_y * k)).y
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@ -176,10 +182,11 @@ class GeometryHelper:
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@staticmethod
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def fast_city_mapping(city, building_names=None):
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lines_information = {}
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factor = GeometryHelper.factor()
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if building_names is None:
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building_names = [b.name for b in city.buildings]
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x = int((city.upper_corner[0] - city.lower_corner[0]) * 0.5) + 1
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y = int((city.upper_corner[1] - city.lower_corner[1]) * 0.5) + 1
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x = int((city.upper_corner[0] - city.lower_corner[0]) * factor) + 1
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y = int((city.upper_corner[1] - city.lower_corner[1]) * factor) + 1
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city_map = [['' for _ in range(y + 1)] for _ in range(x + 1)]
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for building_name in building_names:
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building = city.city_object(building_name)
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@ -195,8 +202,8 @@ class GeometryHelper:
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distance = int(GeometryHelper.distance_between_points(coordinate, next_coordinate))
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if distance == 0:
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continue
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delta_x = (coordinate[0] - next_coordinate[0]) / (distance / 0.5)
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delta_y = (coordinate[1] - next_coordinate[1]) / (distance / 0.5)
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delta_x = (coordinate[0] - next_coordinate[0]) / (distance / factor)
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delta_y = (coordinate[1] - next_coordinate[1]) / (distance / factor)
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for k in range(0, distance):
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x = MapPoint(point.x + (delta_x * k), point.y + (delta_y * k)).x
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y = MapPoint(point.x + (delta_x * k), point.y + (delta_y * k)).y
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@ -181,11 +181,10 @@ class TestGeometryFactory(TestCase):
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"""
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Test neighbours map creation
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"""
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file = 'extractedFINAL2.geojson'
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file_path = (self._example_path / file).resolve()
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file_path = (self._example_path / 'Citylayers_neighbours.geojson').resolve()
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city = GeometryFactory('geojson',
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path=file_path,
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height_field='citygml_me',
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height_field='heightmax',
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year_of_construction_field='ANNEE_CONS',
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name_field='OBJECTID_12',
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function_field='CODE_UTILI',
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@ -194,7 +193,14 @@ class TestGeometryFactory(TestCase):
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UsageFactory('nrcan', city).enrich()
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info_lod1 = GeometryHelper.city_mapping(city, plot=True)
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print('info', info_lod1)
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EnergyBuildingsExportsFactory('idf', city, self._output_path).export()
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for building in city.buildings:
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print(building.name)
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ns = ''
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for n in building.neighbours:
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ns = f'{ns} {n.name}'
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for surface in n.surfaces:
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print('shared', surface.percentage_shared)
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print('\t', ns)
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# EnergyBuildingsExportsFactory('idf', city, self._output_path).export()
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