Correct errors in simplified radiosity algorithm export

city_model_structure/attributes/surface.py

@@ -19,6 +19,7 @@ class Surface:
     self._type = surface_type
     self._swr = swr
     self._name = None
+    self._id = None
     self._azimuth = None
     self._inclination = None
     self._area_above_ground = None
@@ -39,7 +40,7 @@ class Surface:
     :return: str
     """
     if self._name is None:
-      self._name = uuid.uuid4()
+      self._name = str(uuid.uuid4())
     return self._name
 
   @property
@@ -48,7 +49,11 @@ class Surface:
     Surface id
     :return str
     """
-    return str(self.name)[:8]
+    if self._id is None:
+      self._id = self.name.replace('-', '').replace('a', '').replace('b', '').replace('c', '').replace('d', '')
+      self._id = self._id.replace('e', '').replace('f', '')
+      print(self._id)
+    return self._id
 
   @property
   def swr(self):

exports/formats/simplified_radiosity_algorithm.py

@@ -41,7 +41,6 @@ class SimplifiedRadiosityAlgorithm:
           '@ShortWaveReflectance': f'{surface.swr}'
         }
         for point_index, point in enumerate(surface.perimeter_polygon.points):
-          # todo: check corrected points
           point = self._correct_point(point)
           surface_dict[f'V{point_index}'] = {
             '@x': f'{point[0]}',

requirements.txt

@@ -9,3 +9,6 @@ geomeppy~=0.11.8
 open3d~=0.12.0
 pathlib~=1.0.1
 PyWavefront~=1.3.3
+xlrd~=2.0.1
+openpyxl~=3.0.7
+networkx~=2.5.1

tests/test_exports.py

@@ -38,9 +38,10 @@ class TestExports(TestCase):
       cli = 'C:\\Users\\Pilar\\PycharmProjects\\monthlyenergybalance\\tests_data\\weather\\inseldb_Summerland.cli'
       self._city_gml.climate_file = Path(cli)
       self._city_gml.climate_reference_city = 'Summerland'
+      dummy_measures = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
       for building in self._city_gml.buildings:
-        building.heating['month'] = pd.DataFrame({'INSEL': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]})
-        building.cooling['month'] = pd.DataFrame({'INSEL': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]})
+        building.heating['month'] = pd.DataFrame({'INSEL': dummy_measures})
+        building.cooling['month'] = pd.DataFrame({'INSEL': dummy_measures})
         building.heating['year'] = pd.DataFrame({'INSEL': [0.0]})
         building.cooling['year'] = pd.DataFrame({'INSEL': [0.0]})
     return self._city_gml