updated csv file download handler

src/dataloaderservices/csv_templates/variable_and_method_template_compact.txt

@@ -1 +1 @@
-"# VariableCode: {variable_code} | VariableName: {v.variable_name} | ValueType: {v.variable_type_id} | DataType: {v.variable_type} | GeneralCategory: {r.result_type_id} | SampleMedium: {r.sampled_medium} | VariableUnitsName: {u.unit_name} | VariableUnitsType: {u.unit_type_id} | VariableUnitsAbbreviation: {u.unit_abbreviation} | NoDataValue: {v.no_data_value} | TimeSupport: {r.timeseriesresult.intended_time_spacing} | TimeSupportUnitsAbbreviation: {r.timeseriesresult.intended_time_spacing} | TimeSupportUnitsName: {r.timeseriesresult.intended_time_spacing_unit} | TimeSupportUnitsType: {r.timeseriesresult.intended_time_spacing_unit_id} | MethodDescription: {r.feature_action.action.method.method_description} | MethodLink: {r.feature_action.action.method.method_link}"
+"# VariableCode: {variable_code} | VariableName: {v.variable_name} | ValueType: {v.variable_type_id} | DataType: {v.variable_type} | GeneralCategory: {r.result_type_id} | SampleMedium: {r.sampled_medium} | VariableUnitsName: {u.unit_name} | VariableUnitsType: {u.unit_type_id} | VariableUnitsAbbreviation: {u.unit_abbreviation} | NoDataValue: {v.no_data_value} | TimeSupport: {r.timeseriesresult.intended_time_spacing} | TimeSupportUnitsAbbreviation: {r.timeseriesresult.intended_time_spacing} | TimeSupportUnitsName: {r.timeseriesresult.intended_time_spacing_unit} | TimeSupportUnitsType: {r.timeseriesresult.intended_time_spacing_unit_id} | MethodDescription: {r.feature_action.action.method.method_description} | MethodLink: {r.feature_action.action.method.method_link} | VerticalOffset: {s.height} | SensorNotes: {s.sensor_notes}"

src/dataloaderservices/views.py

@@ -500,6 +500,9 @@ def generate_metadata(time_series_results, request=None):  # type: (QuerySet, an
                 # column names can be distinguished easily.
                 tsr = time_series_results_as_list[i]
 
+                sensor = SiteSensor.objects.select_related('registration').filter(
+                    result_id=tsr.result.result_id).first()
+
                 # Why use `varcodes[i]` instead of simply `tsr.result.variable`? Because
                 # there is a possibility of having duplicate variable codes, and
                 # `varcodes` is passed into `CSVDataApi.clean_variable_codes(*arg)`
@@ -508,7 +511,8 @@ def generate_metadata(time_series_results, request=None):  # type: (QuerySet, an
                     variable_code=varcodes[i],
                     r=tsr.result,
                     v=tsr.result.variable,
-                    u=tsr.result.unit
+                    u=tsr.result.unit,
+                    s=sensor
                 )
 
         metadata += "#\n"
@@ -517,6 +521,7 @@ def generate_metadata(time_series_results, request=None):  # type: (QuerySet, an
             # If there's only one timeseriesresult, add the variable and unit information block.
             # When there are multiple timeseriesresults, this part of the CSV becomes cluttered
             # and unreadable.
+            tsr = time_series_results.first()
             metadata += CSVDataApi.read_file('variable_and_unit_information.txt').format(
                 variable=tsr.result.variable,
                 unit=tsr.result.unit,