update data handler single station

mlair/data_handler/data_handler_single_station.py

@@ -300,7 +300,7 @@ class DataHandlerSingleStation(AbstractDataHandler):
         self._data, self.input_data, self.target_data = list(map(f_prep, [_data, _input_data, _target_data]))
 
     def make_input_target(self):
-        vars = [self.variables, self.target_var]
+        vars = [*self.variables, self.target_var]
         stats_per_var = helpers.select_from_dict(self.statistics_per_var, vars)
         data_origin = helpers.select_from_dict(self.data_origin, vars)
         data, self.meta = self.load_data(self.path, self.station, stats_per_var, self.sampling,

mlair/helpers/data_sources/toar_data_v2.py

@@ -196,7 +196,6 @@ def extract_timeseries_data(result, result_format):
 
 
 def load_station_information(station_name: List[str], url_base: str, headers: Dict):
-    # opts = {"base": url_base, "service": f"stationmeta/{station_name[0]}"}
     opts = {"base": url_base, "service": f"stationmeta", "param_id": station_name[0]}
     return get_data(opts, headers)
 

test/test_run_modules/test_pre_processing.py

@@ -28,13 +28,14 @@ class TestPreProcessing:
 
     @pytest.fixture
     def obj_with_exp_setup(self):
+        with RunEnvironment():
             ExperimentSetup(stations=['DEBW107', 'DEBW013', 'DEBW087', 'DEBW99X'],
                             statistics_per_var={'o3': 'dma8eu', 'temp': 'maximum'}, station_type="background",
                             data_origin={'o3': 'UBA', 'temp': 'UBA'}, data_handler=DefaultDataHandler)
             pre = object.__new__(PreProcessing)
             super(PreProcessing, pre).__init__()
             yield pre
-        RunEnvironment().__del__()
+        # RunEnvironment().__del__()
 
     def test_init(self, caplog):
         ExperimentSetup(stations=['DEBW107', 'DEBW013', 'DEBW087'],