activate download of MLAir plots

src/pages/dashboard.py

@@ -278,10 +278,12 @@ def generate_ml_fcast_output_body(language_id, jobnr):
 ]
 
 @callback(
-     Output('image-container-ml-output', 'children'),
+    [Output('image-container-ml-output', 'children'),
+     Output("plot-info", "data", allow_duplicate=True)],
      Input('station-dropdown-ml-output', 'value'),
     [State("user-info", "data"),
-     State("job-info", "data")] 
+     State("job-info", "data")],
+    prevent_initial_call=True
 )
 def update_mlair_image(selected_station, users_dict, job_dict):
     jobid = json.loads(job_dict)["jobnr"]
@@ -290,13 +292,28 @@ def update_mlair_image(selected_station, users_dict, job_dict):
             language_id = json.loads(users_dict)["language_id"]
         except:
             language_id = 0
+
         job_props = get_db_job_entry(jobid)
+        station_code, station_label = selected_station.split(',')
+        station_code = station_code.strip()
+        plotinfo_dict = {}
+        plotinfo_dict["station"] = station_code
+        ispec = job_props['species']
+        species = guitr.species_options[0][ispec]
+        ml_species = guiconst.ml_names[species]
+        plotinfo_dict["species"] = ml_species
+        plotinfo_dict["start_date"] = job_props['start_date'][0:10]
+        forecast_length = job_props['forecast_length']
+        fc_length_str = "{}{}{}".format(forecast_length, guitr.day_label[language_id], guitr.day_plural_label[language_id] if forecast_length > 1 else "")
+        plotinfo_dict["fc_length"] = fc_length_str
+        plotinfo_json = json.dumps(plotinfo_dict)
+
         image_path = plot_ml_time_series(selected_station, language_id,
                                          ispec=job_props['species'],
                                          start_date=job_props['start_date'],
                                          forecast_length=job_props['forecast_length'])
         image = html.Img(src=image_path, className='image-fit-container')
-        return image
+        return image, plotinfo_json
     else:
         return None
 
@@ -1228,15 +1245,13 @@ def mlair_output_download(download_button, job_dict):
     prevent_initial_call=True
 )
 def mlair_plots_download(download_button, job_dict, plot_dict):
-#   jobid = json.loads(job_dict)["jobnr"]
-#   species = json.loads(job_dict)["variable"]
-#   start_date = json.loads(job_dict)["start_date"]
-#   station = json.loads(plot_dict)["station"]
+    species = json.loads(plot_dict)["species"]
+    station = json.loads(plot_dict)["station"]
+    start_date = json.loads(plot_dict)["start_date"]
+    fc_length = json.loads(plot_dict)["fc_length"]
 
     # file name according to users selection
-#   output_file_name = f"mlair_{ml_species}_{station_code}_{start_date}_{fc_length_str}.png"
-    # just to test
-    output_file_name = "mlair_O3_DENW067_2018-07-18_4Tage.png"
+    output_file_name = f"mlair_{species}_{station}_{start_date}_{fc_length}.png"
     infile = str(ASSETS_PATH.joinpath('mlair', output_file_name))
     return dcc.send_file(
         infile