83 lines
2.1 KiB
Python
83 lines
2.1 KiB
Python
"""
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GeometryFactory retrieve the specific geometric module to load the given format
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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"""
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from city_model_structure.city import City
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from imports.geometry.citygml import CityGml
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from imports.geometry.obj import Obj
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from imports.geometry.osm_subway import OsmSubway
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from imports.geometry.rhino import Rhino
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from imports.geometry.gpandas import GPandas
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import geopandas
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class GeometryFactory:
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"""
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GeometryFactory class
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"""
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def __init__(self, file_type, path, data_frame=None):
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self._file_type = '_' + file_type.lower()
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self._path = path
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self._data_frame = data_frame
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@property
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def _citygml(self) -> City:
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"""
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Enrich the city by using CityGML information as data source
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:return: City
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"""
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return CityGml(self._path).city
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@property
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def _obj(self) -> City:
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"""
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Enrich the city by using OBJ information as data source
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:return: City
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"""
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return Obj(self._path).city
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@property
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def _gpandas(self) -> City:
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"""
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Enrich the city by using GeoPandas information as data source
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:return: City
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"""
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if self._data_frame is None:
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self._data_frame = geopandas.read_file(self._path)
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print( self._data_frame )
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return GPandas(self._data_frame).city
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@property
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def _osm_subway(self) -> City:
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"""
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Enrich the city by using OpenStreetMap information as data source
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:return: City
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"""
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return OsmSubway(self._path).city
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@property
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def _rhino(self) -> City:
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"""
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Enrich the city by using Rhino information as data source
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:return: City
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"""
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return Rhino(self._path).city
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@property
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def city(self) -> City:
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"""
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Enrich the city given to the class using the class given handler
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:return: City
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"""
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return getattr(self, self._file_type, lambda: None)
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@property
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def city_debug(self) -> City:
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"""
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Enrich the city given to the class using the class given handler
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:return: City
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"""
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return GPandas(geopandas.read_file(self._path)).city
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