also provide plotting panels completely in German

src/pages/dashboard.py

@@ -116,7 +116,7 @@ first_day_of_week = [0, 1]
 min_date_allowed = "2017-02-20"
 max_date_allowed = "2018-08-09"
 initial_visible_month = "2017-02-01"
-forecast_length_label = ["forecast length:", "Vorhersagedauer:"]
+forecast_length_label = ["forecast length", "Vorhersagedauer"]
 region_label = ["region:", "Region:"]
 forecast_length_options = [["4 days", "3 days", "2 days", "1 day"],
                            ["4 Tage", "3 Tage", "2 Tage", "1 Tag"]]
@@ -131,6 +131,11 @@ emis_scen_label = ["emission scenario:", "Emissionsszenario:"]
 help_metrics_label = ["Help on metrics", "Hilfe zu Ausgabemetriken"]
 help_emissions_label = ["Help on emission scenarios", "Hilfe zu Emissions-Szenarien"]
 map_select_label = ["Select on map", "auf Karte auswählen"]
+time_step_label = ["Time step", "Zeitschritt"]
+start_date_label = ["Start date", "Startdatum"]
+location_label = ["Location", "Ort"]
+day_label = ["day", "Tag"]
+day_plural_label = ["s", "e"]
 save_label = ["Save Results", "Ergebnisse sichern"]
 download_label = ["Download Data", "Daten herunterladen"]
 downscaling_label = ["Postprocessing with ML-Downscaling", "Postprocessing mit ML-Downscaling"]
@@ -264,7 +269,7 @@ def generate_ml_fcast_body(language_id=0):
 
 def generate_ml_fcast_output_body(language_id):
     return [
-    dbc.Row(dbc.Label("Start date: 17 June 2017, ozone, Nordrhein Westfalen")),
+    dbc.Row(dbc.Label(f"{start_date_label[language_id]}: 17 June 2017, ozone, Nordrhein Westfalen")),
     dbc.Row([
         dbc.Col(dbc.Label("station:"), width=3),
         dbc.Col(
@@ -327,7 +332,7 @@ def generate_eurad_im_body(language_id=0):
         dbc.Col(dcc.DatePickerSingle(date=dt.date.today(),
                                      display_format=date_format[language_id],
                                      first_day_of_week=first_day_of_week[language_id])),
-        dbc.Col(dbc.Label(forecast_length_label[language_id])),
+        dbc.Col(dbc.Label(f"{forecast_length_label[language_id]}:")),
         dbc.Col(dcc.Dropdown(value=forecast_length_options[language_id][0], options=forecast_length_options[language_id]))
     ], class_name="row mt-3"),
     dbc.Row([
@@ -370,23 +375,23 @@ def generate_eurad_im_output_body(language_id, context):
         # TODO: Zeit in Stunden seit Start
 
     start_date = pd.to_datetime(timestep_list[0]).strftime("%d %B %Y")
-    fc_lenght = (len(timestep_list)-1) // 24
-    fc_lenght_str = "{} day{}".format(fc_lenght, "s" if fc_lenght > 1 else "")
+    fc_length = (len(timestep_list)-1) // 24
+    fc_length_str = "{} {}{}".format(fc_length, day_label[language_id], day_plural_label[language_id] if fc_length > 1 else "")
 
     variables_list = info.get_available_variables(infile)
 
     stations_list = info.get_available_stations()
     stations_list = sorted(stations_list)
     return [
-    dbc.Row([dbc.Label("Start date: {}, forecast length: {}".format(start_date, fc_lenght_str))]),
+    dbc.Row([dbc.Label(f"{start_date_label[language_id]}: {start_date}, {forecast_length_label[language_id]}: {fc_length_str}")]),
     dbc.Row([
-        dbc.Col(dbc.Label("Time step:"), width=3),
+        dbc.Col(dbc.Label(f"{time_step_label[language_id]}"), width=3),
         dbc.Col(dcc.Dropdown(value=timestep_strings[0], options=timestep_strings, id='time-step-dropdown-{}'.format(context)), width=3)
     ], class_name="row mt-3"),
     dbc.Row([
         dbc.Col(dbc.Label("Variable:"), width=3),
         dbc.Col(dcc.Dropdown(value=variables_list[0], options=variables_list, id='variable-dropdown-{}'.format(context)), width=3),
-        dbc.Col(dbc.Label("Location:"), width=3),
+        dbc.Col(dbc.Label(f"{location_label[language_id]}:"), width=3),
         dbc.Col(dcc.Dropdown(value=stations_list[0], options=stations_list, id='station-dropdown-{}'.format(context)), width=3)
     ], class_name="row mt-3"),
     dbc.Row([
@@ -399,7 +404,7 @@ def generate_eurad_im_output_body(language_id, context):
     dbc.Row([
         dbc.Col(html.Br(), width=12),
         dbc.Col([
-            dbc.Checkbox(label=f"{show_downscaling_label[language_id]}", value=1)
+            dbc.Checkbox(label=f"{show_downscaling_label[language_id]}", value=0)
         ], style={"display": "flex"}),
     ], class_name="row mt-3f"),
 ]
@@ -465,7 +470,7 @@ def generate_eurad_scen_body(language_id):
         dbc.Col(dcc.DatePickerSingle(date=dt.date.today(),
                                      display_format=date_format[language_id],
                                      first_day_of_week=first_day_of_week[language_id])),
-        dbc.Col(dbc.Label(f"{forecast_length_label[language_id]}")),
+        dbc.Col(dbc.Label(f"{forecast_length_label[language_id]}:")),
         dbc.Col(dcc.Dropdown(value=forecast_length_options[language_id][0], options=forecast_length_options[language_id]))
     ], class_name="row mt-3"),
     dbc.Row([