adding all-in-one function that make one dictionary holds all information of the grid(so far)

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 0.02631092071533203s
+INFO:cimpy.cimimport:Created totally 275 CIM objects in 0.022135496139526367s
 
 

examples/quickstart/run_nv_powerflow.py

@@ -31,7 +31,7 @@ system.load_cim_data(res['topology'], base_apparent_power)
 # Execute power flow analysis
 results_pf, num_iter = nv_powerflow.solve(system)
 
-a = export.PPexporter(system)
+a = export.CIMtoDataFrame(system)
 b = a.parseNode()
 c = a.parseBranch()
 d = a.createLoads()
@@ -40,6 +40,8 @@ e = a.createGens()
 f,g = a.makeConnectivity(b,c)
 h = a.interpretConnectivity(g) #now we can make n-different connection matrix
 
+q = a.makeOneDict()
+
 # Print node voltages
 print("Powerflow converged in " + str(num_iter) + " iterations.\n")
 print("Results: \n")

pyvolt/export.py

@@ -26,14 +26,35 @@ class Exporter():
         return self.__class__.__name__
     
     
-class PPexporter(Exporter):
+class CIMtoDataFrame(Exporter):
     def __init__(self, system):
         self.node = system.nodes
         self.branch = system.branches
         self.Ymatrix = np.zeros([], dtype=complex)
         
-    def makeDataFrame(self, data):
-        pass
+    def makeOneDict(self):
+        """
+        this function is all-in-one function that create nested dictonary of all functions below, so user can have one dictionary with all components
+        """
+        node = self.parseNode()
+        branch = self.parseBranch()
+        loads = self.createLoads()
+        gens = self.createGens()
+
+        df_connectivity,matrix_connectivity = self.makeConnectivity(node,branch)
+        sub_connectivity = self.interpretConnectivity(matrix_connectivity) #now we can make n-different connection matrix
+        
+        whole_thing = dict()
+        
+        whole_thing['bus'] = node
+        whole_thing['branch'] = branch
+        whole_thing['load'] = loads
+        whole_thing['gen'] = gens
+        whole_thing['con']=dict()
+        whole_thing['con']['total_con'] = df_connectivity
+        whole_thing['con']['grp_con'] = sub_connectivity
+        
+        return whole_thing
     
     
     def parseNode(self):
@@ -207,3 +228,9 @@ class PPexporter(Exporter):
                 
                 sub_connectivity[k] = df_local
         return sub_connectivity
+    
+class DataFrameToJson(Exporter):
+    def __init__(self, dataframe):
+        self.node = dataframe.nodes
+        self.branch = dataframe.branches
+        self.Ymatrix = np.zeros([], dtype=complex)
\ No newline at end of file