adding integer and real, so real/imag value can be expressed properly as well

Signed-off-by: Taeyoung Kim <taeyoung.kim@eonerc.rwth-aachen.de>

examples/quickstart/run_nv_powerflow.log

@@ -76,6 +76,6 @@ INFO:cimpy.cimimport:CIM object Line created : 11 times
 INFO:cimpy.cimimport:CIM object SubGeographicalRegion created : 2 times
 INFO:cimpy.cimimport:CIM object BusbarSection created : 13 times
 INFO:cimpy.cimimport:CIM object TopologicalIsland created : 2 times
-INFO:cimpy.cimimport:Created totally 275 CIM objects in 0.027223825454711914s
+INFO:cimpy.cimimport:Created totally 275 CIM objects in 0.023450851440429688s
 
 

pyvolt/export.py

@@ -57,6 +57,11 @@ class CIMtoDataFrame(Exporter):
         
         return whole_thing
     
+    def makeReal(self, input):
+        return input.apply(lambda x: x.real)
+    
+    def makeInt(self, input):
+        return input.apply(lambda x: int(x.real))
     
     def parseNode(self):
         """
@@ -141,12 +146,21 @@ class CIMtoDataFrame(Exporter):
                 power_pu_imag = power_pu.imag
                 
                 
-                load_index = k
+            load_index = int(k.real)
             df.loc[k] = [
                 int(load_index), int(index), power, power_pu, power_real, power_imag, power_pu_real, power_pu_imag
             ]
+            #to make sure all the index is going to be integer
+            df["idx"] = self.makeInt(df["idx"])
+            df["bus_index"] = self.makeInt(df["bus_index"])
+            df['power_real'] = self.makeReal(df['power_real'])
+            df['power_imag'] = self.makeReal(df['power_imag'])
+            df['power_pu_real'] = self.makeReal(df['power_pu_real'])
+            df['power_pu_imag'] = self.makeReal(df['power_pu_imag'])
         return df
     
+
+    
     def createGens(self):
         """
         this function create generation dataframe from read CIM file.
@@ -174,10 +188,16 @@ class CIMtoDataFrame(Exporter):
                 power_pu_imag = power_pu.imag
                 
                 
-                load_index = k
+                load_index = k #actually gen
                 df.loc[k] = [
                     int(load_index), int(index), power, power_pu, power_real, power_imag, power_pu_real, power_pu_imag
                 ]
+            df["idx"] = self.makeInt(df["idx"])
+            df["bus_index"] = self.makeInt(df["bus_index"])
+            df['power_real'] = self.makeReal(df['power_real'])
+            df['power_imag'] = self.makeReal(df['power_imag'])
+            df['power_pu_real'] = self.makeReal(df['power_pu_real'])
+            df['power_pu_imag'] = self.makeReal(df['power_pu_imag'])
         return df
     
     
@@ -280,3 +300,38 @@ class DataFrameToJson(Exporter):
         # og_template[k]['mtPowerFlowInput']['busses'][1].keys()
         return template
     
+    #ToDo: finish this function. But seems like we need to find a way.
+    # @activePowerkW, there will be rows that loads doesn't exist, so manybe we have to reset the index of loads, or put zero.
+    # or find a way to indexinsg bus_index of loads and use row.idx of for loop to connecting value.
+    def feedDataToTemplate(self, template):
+        data = self.dict
+        
+        for k in template.keys():
+            if k == 'busses':
+                # new_keys_data = ['bus', 'load']
+                # new_data= {key: data[key] for key in new_keys_data if key in data}
+                key_mapping = {'index':'index',
+                               'type':'type',
+                               'name':'name',
+                               'activePowerkW': 'power_real', #from Load
+                               'reactivePowerkVAR' : 'power_imag',
+                               'voltageModulePu': 'voltage_pu',
+                               'nominalVoltagekV': 'base_voltage' }
+                non_mapped = {'capacityPu', 'voltageArea', 'voltagePhasePu', 'powerLine', 'voltageMaxPu', 'voltageMinPu'}
+                
+                for _, row in data['bus'].iterrows():
+                    entry = {
+                        "index": row.idx,
+                        "type": row.type,
+                        "name": row['name'],  # Using the CSV "name" field
+                        "activePowerkW": 0.0,  # Default value
+                        "reactivePowerkVAR": 0.0,  # Default value
+                        "capacityPu": 0.0,  # Default value
+                        "voltageArea": 1,   # Example default; adjust if necessary
+                        "voltageModulePu": parse_complex(row['voltage_pu']),
+                        "voltagePhasePu": 0.0,  # Default value
+                        "nominalVoltagekV": float(row['base_voltage']),
+                        "powerLine": 0,  # Default value (adjust if needed)
+                        "voltageMaxPu": 1.1,  # Default value
+                        "voltageMinPu": 0.9   # Default value
+                    }