fix: Parse wheat varieties from newODK2

coordinator/ProcessorSurveysnewODK2.py

@@ -94,7 +94,9 @@ def get_newODK2_form_as_csv(form_credentials: dict, jobPath: str, config: dict,
             'site_information/area_unit' : 'None',
             'site_information/field_area' : 'None',
             'site_information/field_area_in_ha' : 'site_information-field_area',
-            #'site_information/variety_eth' : 'site_information-variety',
+            'site_information/variety_eth' : 'site_information/variety_eth',
+            'site_information/variety_name' : 'site_information/variety_name',
+            'site_information/variety_other' : 'site_information/variety_other',
             'site_information/survey_site_other' : 'None',
             'major_observed_diseases' : 'None',
             'SR/SR_incidence' : ('parse_cases',(('name_out','stem_rust-stemrust_incidence'),('cases', cases_incident),('fillna','none'))),
@@ -209,6 +211,19 @@ def get_newODK2_form_as_csv(form_credentials: dict, jobPath: str, config: dict,
 
         dataframe_processed = parse_columns(dataframe_raw,column_parser_dict)
 
+        # Handle the different columns that may containt the variety name
+        coln1 = 'site_information/variety_eth'
+        coln2 = 'site_information/variety_name'
+        coln3 = 'site_information/variety_other'
+        dataframe_processed['site_information-variety'] = dataframe_processed.loc[na_vars,coln1]
+        na_vars = dataframe_processed['site_information-variety'].isna()
+        dataframe_processed.loc[na_vars,'site_information-variety'] = dataframe_processed.loc[na_vars,coln2]
+        na_vars = dataframe_processed['site_information-variety'].isna()
+        dataframe_processed.loc[na_vars,'site_information-variety'] = dataframe_processed.loc[na_vars,coln3]
+        del dataframe_processed[coln1]
+        del dataframe_processed[coln2]
+        del dataframe_processed[coln3]
+
         logger.debug('Saving processed csv file')
 
         dataframe_processed.to_csv(csv_processed_path,index=False,quoting=csv.QUOTE_MINIMAL)