do not use Store

apps/app_estimateOP.py

@@ -20,7 +20,6 @@ NCLICKED = 0
 layout = dbc.Container(
     id="container-results",
     children=[
-        dcc.Store(id='memory-op'),
         dbc.Row([
             dbc.Col(
                 id="upload-col",
@@ -87,23 +86,25 @@ layout = dbc.Container(
                                 html.Div(
                                     id='output-data-op',
                                     children=[
-                                        dash_table.DataTable(
-                                            id="datatable-op",
-                                            sort_action="native",
-                                            sort_mode="multi",
-                                            filter_action='native',
-                                            page_size=5,
-                                            export_columns='all',
-                                            export_format="xlsx",
-                                            style_cell={
-                                                'overflow': 'hidden',
-                                                'textOverflow': 'ellipsis',
-                                                'maxWidth': 0,
-                                                },
-                                            ),
+                                        dcc.Loading(
+                                            dash_table.DataTable(
+                                                id="datatable-op",
+                                                sort_action="native",
+                                                sort_mode="multi",
+                                                filter_action='native',
+                                                page_size=5,
+                                                export_columns='all',
+                                                export_format="xlsx",
+                                                style_cell={
+                                                    'overflow': 'hidden',
+                                                    'textOverflow': 'ellipsis',
+                                                    'maxWidth': 0,
+                                                    },
+                                                ),
+                                            )
                                         ]
                                     ),
-                                className='col-9'
+                                className='col-10'
                                 ),
                             ],
                         className="justify-content-center"
@@ -196,25 +197,6 @@ def update_output(content, name, clicked):
         )
     return (data, columns, flash)
 
-@app.callback(Output('memory-op', 'data'),
-        [
-            Input('datatable', 'derived_virtual_data'),
-            Input('option-OPtype', 'value'),
-        ])
-def update_storage(dfpm, OPtype):
-    if dfpm is None or len(dfpm) == 0:
-        raise PreventUpdate
-
-    dfpm = pd.DataFrame(dfpm)
-    dfpm["Date"] = pd.to_datetime(dfpm["Date"])
-
-    dfop = pyOPestimator.get_op_from_pm10(dfpm, OPtype)
-    factors = list(dfop.drop(["Date", "month", "PM10", "totalOP"], axis=1).columns)
-
-    # dfop = dfop.melt(id_vars=["Date", "totalOP", "month", "PM10"], var_name="Factor",
-    #           value_name="OP")
-    return dfop.to_dict('record')
-
 @app.callback(Output('graph-abs', 'figure'),
     [
         Input('datatable', 'derived_virtual_data'),
@@ -275,14 +257,21 @@ def update_graph(dfpm, OPtype, temporality):
     Output('datatable-op', 'columns')
     ],
     [
-        Input('memory-op', 'data')
+        Input('datatable', 'derived_virtual_data'),
+        Input('option-OPtype', 'value'),
         ],
-    [
-        State('option-OPtype', 'value'),
-    ]
     )
-def add_op_to_datatable(dfop, OPtype):
-    df = pd.DataFrame(dfop)
+def add_op_to_datatable(dfpm, OPtype):
+    if dfpm is None or len(dfpm) == 0:
+        raise PreventUpdate
+
+    dfpm = pd.DataFrame(dfpm)
+    dfpm["Date"] = pd.to_datetime(dfpm["Date"])
+
+    dfop = pyOPestimator.get_op_from_pm10(dfpm, OPtype)
+    factors = list(dfop.drop(["Date", "month", "PM10", "totalOP"], axis=1).columns)
+
+    df = dfop.copy()
     df["Date"] = pd.to_datetime(df["Date"])
     df["total_{}".format(OPtype)] = df["totalOP"]
     df.drop("totalOP", axis=1, inplace=True)