Add export_csv()

And export dataframes to CSV

csvprocess.py

@@ -159,6 +159,18 @@ def get_range_date(attr):
 
     return date[1], date[2]
 
+def export_csv(dataframe, path):
+    logger.debug('export csv from panda dataframe')
+    try:
+        dataframe.to_csv(path ,header = False, index= False)
+    except Exception as e:
+        logger.error(
+                'Erro when exporting Dataframe to csvfile {}. \n{}'.format(
+                    path,
+                    e)
+                )
+        sys.exit(1)
+
 if __name__ == '__main__':
     args = parse_args()
     
@@ -291,6 +303,7 @@ if __name__ == '__main__':
                 temp['date_fin'].append(end)
                 temp['valeur'].append(value)
 
+    consolidated_stats = pd.DataFrame.from_dict(temp)
     t.stop()
 
     t.start('Process_town')
@@ -304,6 +317,17 @@ if __name__ == '__main__':
     t.stop()
     logger.debug(towns)
 
+    # Export all dataframes to csv
+    t.start('Export_CSV')
+    export_csv(towns, args.export + '/commune.csv')
+    export_csv(departments, args.export + '/departement.csv')
+    export_csv(states, args.export + '/region.csv')
+    export_csv(dep_capitals, args.export + '/cheflieudepartement.csv')
+    export_csv(states_capitals, args.export + '/cheflieuregion.csv')
+    export_csv(indicators, args.export + '/indicateur.csv')
+    export_csv(consolidated_stats, args.export + '/statistiques.csv')
+    t.stop()
+
     t.get_total_time()
 
     sys.exit()