Hello dear Dash friends,
I have a very long callback function (about 1500 lines 
).
First I open a database connection, I do a lot of calculations with the data from the database and display the results in cascaded if-loops.
Results are some indicators and a graph.
It used to work very well but since I started to use dash data table to display the indicators, I have some strange errors in some specific cases. I am trying to isolate the source of the error but with no success so far.
I wonder if it can be a bug from dash data tables.
The rationale behind using dash datable in my case is to have a customizable and compact way to display data.
This is how I used to display the indicators in the if loop:
html.H4(variable1), html.P(text1), html.H4(variable2), html.P(text2), html.H4(variable3), html.P(text3), html.H4(variable4), html.P(text4), html.H4(variable5), html.P(text5), html.H4(variable6), html.P(text6), html.H4(f"{variable7}/{variable8}"), html.P(text7),
This is how I do it know with the dash data tables:
First, before the if loops, creating the data frame I will use to fill the dash data tables
d1 = {"text": [variable1]} df1 = pd.DataFrame(data=d1) d2 = {"some text here": [variable1], "some text here": [variable2]} df2 = pd.DataFrame(data=d2) d3 = {"some text here": [variable1], "some text here": [variable3], '''some text here''': [variable4], } df3 = pd.DataFrame(data=d3) d4 = {"some text here": [variable1], "some text here": [variable2], "some text here": [variable3], '''some text here''': [variable4], } df4 = pd.DataFrame(data=d4) d5 = {"some text here": [variable1, "", "", "some text here", variable5], "some text here": [variable2, "", "", "some text here", variable6], ''some text here'': [variable3, "", "", "some text here", variable7], "": [ "", "", "", "some text here", variable8], } df5 = pd.DataFrame(data=d5) d6 = {"some text here": [variable1, "", "", "some text here", variable5], "some text here": [variable2, "", "", "some text here", variable6], "some text here": [variable3, "", "", "some text here", variable7], ''some text here'': [variable4, "", "", "some text here", variable8], } df6 = pd.DataFrame(data=d6)
And then in the if loops, creating the corresponding dash data table, for example for the data frame 1:
dash_table.DataTable( id='table', data=df1.to_dict('records'), columns=[{"name": j, "id": j} for j in df1.columns], style_as_list_view=True, style_cell={ 'backgroundColor': 'white', 'whiteSpace': 'normal', 'height': 'auto', 'width': 'auto', # 'lineHeight': '15px', 'font-family': 'lora', 'font-size': '95%', 'padding': '15px', 'textAlign': 'center', 'border': '1px solid white' }, # style_data_conditional=[ # { # 'if': { # 'row_index': 0, # 'column_id': "Débit 'ICOS' (m3/H)", # }, # 'backgroundColor': 'green', # 'color': 'white' # }, #] ),
This issue seems to be only for data frame 5 and data frame 6. In the data used for the data frames, I tried replacing the empty texts “” by some random text “allo” and replacing all texts by variables but the issue persists.
Here is the error I have now:
But sometimes the error below also appears (that looks like this one Pattern-Matching Callbacks doesn't work for dash-table):
ANY HELP?
