added imports to only when they are used (small imports), dataframe comparison underway

Signed-off-by: Dipti <dipti.dhond@candelatech.com>

py-json/LANforge/lfcli_base.py

@@ -16,9 +16,7 @@ from LANforge import LFRequest
 import LANforge.LFRequest
 import csv
 import pandas as pd
-import tables
-import pyarrow as pa
-#import xlsxwriter
+
 
 class LFCliBase:
 
@@ -611,8 +609,10 @@ class LFCliBase:
      #takes any dataframe and returns the specified file extension of it
     def df_to_file(self, output_f=None,dataframe=None, save_path=None):
         if output_f.lower() == 'hdf': 
+            import tables
             dataframe.to_hdf(save_path.replace('csv','h5',1), 'table', append=True)
         if output_f.lower() == 'parquet':
+            import pyarrow as pa
             dataframe.to_parquet(save_path.replace('csv','parquet',1), engine='pyarrow')
         if output_f.lower() == 'png':
             fig = dataframe.plot().get_figure()
@@ -635,6 +635,23 @@ class LFCliBase:
         
    
     def compare_two_df(self,dataframe_one=None,dataframe_two=None):
+        pd.set_option("display.max_rows", None, "display.max_columns", None)
+        #get all of common columns besides Timestamp, Timestamp milliseconds 
+        common_cols = set(dataframe_one.columns).intersection(set(dataframe_two.columns))
+        if common_cols is not None:
+            cols_to_remove=['Timestamp milliseconds epoch','Timestamp','LANforge GUI Build: 5.4.3']
+            #drop unwanted cols from df
+            dataframe_one = dataframe_one.drop(list(cols_to_remove), axis=1)
+            dataframe_two = dataframe_two.drop(list(cols_to_remove), axis=1)
+            #for time elapsed section and endpoint name combo
+            #
+            print(dataframe_one)
+            print(dataframe_two)
+    
+        
+        #take those columns and separate those columns from others in DF.
+
+
         pass    
         #return compared_df
 

py-json/realm.py

@@ -1299,7 +1299,6 @@ class L3CXProfile(LFCliBase):
                                     for key in port_mgr_values_dict.keys():
                                         renamed_port_cols['port mgr - ' +key]=port_mgr_values_dict[key]
                                     merge.update(renamed_port_cols)
-                print(header_row[3:-3])
                 for name in header_row[3:-3]:
                     temp_list.append(merge[name])
                 csvwriter.writerow(temp_list)
@@ -1323,6 +1322,7 @@ class L3CXProfile(LFCliBase):
         #comparison to last report / report inputted
         if compared_report is not None:
             compared_df = self.compare_two_df(dataframe_one=self.file_to_df(report_file), dataframe_two=self.file_to_df(compared_report))
+            exit(1)
             #append compared df to created one
             if output_format.lower() != 'csv':
                 self.df_to_file(dataframe=pd.read_csv(report_file), output_f=output_format, save_path=report_file)

py-scripts/test_ipv4_variable_time.py

@@ -314,8 +314,10 @@ python3 ./test_ipv4_variable_time.py
         compared_report_format=args.compared_report.split('.')[-1]
         #if compared_report_format not in ['csv', 'json', 'dta', 'pkl','html','xlsx','parquet','h5']:
         if compared_report_format != 'csv':
-            ValueError("Cannot process this file type. Please select a different file and re-run script.")
+            print(ValueError("Cannot process this file type. Please select a different file and re-run script."))
             exit(1)
+        else:
+            compared_rept=args.compared_report
             
     station_list = LFUtils.portNameSeries(prefix_="sta", start_id_=0, end_id_=num_sta - 1, padding_number_=10000,
                                           radio=args.radio)