cim converter: Avoid huge logging output when ignore_erros = True

CHANGELOG.rst

@@ -13,6 +13,7 @@ Change Log
 - [CHANGED] updated upload_release.py to install the uploadad package and print the version
 - [CHANGED] updated MANIFEST.in to exclude the ci files from the wheel distribution
 - [CHANGED] cim data structure method in cim converter changed to blueprint approach
+- [CHANGED] cim converter: Avoid huge logging output when ignore_erros = True
 - [FIXED] massive performance drag in large grids due to initializing Ybus for FACTS with np.zeros instead of using sparse matrix initialization
 - [FIXED] further futurewarnings and deprecation warnings
 

pandapower/converter/cim/cim2pp/converter_classes/connectivitynodes/connectivityNodesCim16.py

@@ -211,10 +211,8 @@ def _prepare_connectivity_nodes_cim16(self) -> Tuple[pd.DataFrame, pd.DataFrame]
         if 'TopologicalNode_2' in connectivity_nodes.columns:
             connectivity_nodes['TopologicalNode'].fillna(connectivity_nodes['TopologicalNode_2'], inplace=True)
             connectivity_nodes = connectivity_nodes.drop(columns=['TopologicalNode_2'])
-        if connectivity_nodes.index.size != connectivity_nodes_size:
-            connectivity_nodes.drop(columns=['TopologicalNode_2'], inplace=True)
         if connectivity_nodes.index.size != connectivity_nodes_size and not self.cimConverter.kwargs.get(
-                'ignore_errors', False):
+                'ignore_errors', True):
             self.logger.warning("There is a problem at the busses!")
             self.cimConverter.report_container.add_log(Report(
                 level=LogLevel.WARNING, code=ReportCode.WARNING_CONVERTING,
@@ -237,19 +235,8 @@ def _prepare_connectivity_nodes_cim16(self) -> Tuple[pd.DataFrame, pd.DataFrame]
         bb = bb.drop_duplicates(subset=['rdfId'], keep='first')
         connectivity_nodes = pd.merge(connectivity_nodes, bb, how='left', on='rdfId')
 
-        connectivity_nodes = connectivity_nodes.rename(columns={'rdfId': sc['o_id'], 'TopologicalNode': sc['ct'], 'nominalVoltage': 'vn_kv',
-                                           'name_substation': 'zone'})
-            connectivity_nodes.drop_duplicates(subset=['rdfId'], keep='first', inplace=True)
-        # add the busbars
-        bb = self.cimConverter.cim['eq']['BusbarSection'][['rdfId', 'name']]
-        bb.rename(columns={'rdfId': 'busbar_id', 'name': 'busbar_name'}, inplace=True)
-        bb = pd.merge(bb, self.cimConverter.cim['eq']['Terminal'][['ConnectivityNode', 'ConductingEquipment']].rename(
-            columns={'ConnectivityNode': 'rdfId', 'ConductingEquipment': 'busbar_id'}), how='left', on='busbar_id')
-        bb.drop_duplicates(subset=['rdfId'], keep='first', inplace=True)
-        connectivity_nodes = pd.merge(connectivity_nodes, bb, how='left', on='rdfId')
-
-        connectivity_nodes.rename(columns={'rdfId': sc['o_id'], 'TopologicalNode': sc['ct'], 'nominalVoltage': 'vn_kv',
-                                           'name_substation': 'zone'}, inplace=True)
+        connectivity_nodes = connectivity_nodes.rename(columns={'rdfId': sc['o_id'], 'TopologicalNode': sc['ct'],
+                                                                'nominalVoltage': 'vn_kv', 'name_substation': 'zone'})
         connectivity_nodes['in_service'] = True
         connectivity_nodes['type'] = 'b'
         return connectivity_nodes, eqssh_terminals

pandapower/converter/cim/cim_tools.py

@@ -64,8 +64,8 @@ def extend_pp_net_cim(net: pandapowerNet, override: bool = True) -> pandapowerNe
     fill_dict['gen'][np_float_type] = \
         ['min_p_mw', 'max_p_mw', 'min_q_mvar', 'max_q_mvar', 'vn_kv', 'rdss_ohm', 'xdss_pu', 'cos_phi', 'pg_percent']
     fill_dict['sgen'] = dict()
-    fill_dict['sgen'][np_str_type] = [sc['t'], 'description']
-    fill_dict['sgen'][np_float_type] = ['k', 'rx', 'vn_kv', 'rdss_ohm', 'xdss_pu', 'lrc_pu', 'generator_type']
+    fill_dict['sgen'][np_str_type] = [sc['t'], 'description', 'generator_type']
+    fill_dict['sgen'][np_float_type] = ['k', 'rx', 'vn_kv', 'rdss_ohm', 'xdss_pu', 'lrc_pu']
     fill_dict['motor'] = dict()
     fill_dict['motor'][np_str_type] = [sc['t'], 'description']
     fill_dict['storage'] = dict()