pyAnsys_MAPDL_dash_callback_1.py

@app.long_callback(
    Output(f'{APP_ID}_geom_rep_mesh', 'children'),
    Output(f'{APP_ID}_geom_rep_mesh', 'colorDataRange'),
    Output(f'{APP_ID}_results_colorbar_graph', 'figure'),
    Output(f'{APP_ID}_mem_sene_dt_div', 'children'),
    Input(f'{APP_ID}_solve_button', 'n_clicks'),
    State(f'{APP_ID}_n_panels_input', 'value'),
    State(f'{APP_ID}_w_panel_input','value'),
    State(f'{APP_ID}_h_panel_input', 'value'),
    State(f'{APP_ID}_nsm_input', 'value'),
    State(f'{APP_ID}_tfs_input', 'value'),
    State(f'{APP_ID}_k_hinge_input', 'value'),
    State(f'{APP_ID}_dx_panel_input', 'value'),
    State(f'{APP_ID}_tc_input', 'value'),
    State(f'{APP_ID}_scale_input', 'value'),
    prevent_initial_call=True,
    running=[
        (
            Output(f'{APP_ID}_solve_button', "disabled"), 
            True, 
            False
        ),
        (
            Output(f'{APP_ID}_progress_bar', "style"),
            {"visibility": "visible"},
            {"visibility": "hidden"},
        ),
    ],
    progress=[
        Output(f'{APP_ID}_progress_bar', "value"), 
        Output(f'{APP_ID}_progress_bar', "max")
    ],
)
def dash_vtk_update_grid(set_progress, n_clicks, n_panels, panel_w, panel_h, nsm_pv, tfs, k_hinge, dx_panel, tc, scale):

    if any([v is None for v in [n_clicks, n_panels, panel_w, panel_h, nsm_pv, tfs, k_hinge, dx_panel, tc, scale]]):
        raise PreventUpdate


    set_progress((str(1), str(10)))
    res, ugrid, df_sene_mem = make_pv_array(panel_w, panel_h, n_panels=n_panels, nsm_pv=nsm_pv, tc=tc, tfs=tfs, k_hinge=k_hinge, dx_panel=dx_panel, prog=set_progress)
    set_progress((str(8), str(10)))
    f0 = df_sene_mem['freq'].iloc[0]
    dof ='uZ'
    ugrid = plot_nodal_disp(ugrid, res, scale=scale, dof=dof)

    view_max = ugrid[dof].max()
    view_min = ugrid[dof].min()
    rng = [view_min, view_max]

    fig_cb = make_colorbar(f'Z Displacement (in)<Br>Freq: {f0:0.3f}', rng)

    mesh_state = to_mesh_state(ugrid, field_to_keep=dof)
    set_progress((str(9), str(10)))

    dt = dash_table.DataTable(
        data=df_sene_mem.to_dict('records'),
        sort_action='native',
        columns=[
            {'name': 'Mode', 'id': 'mode', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.decimal_integer)},
            {'name': 'Frequency (Hz)', 'id': 'freq', 'type': 'numeric', 'format': Format(precision=3, scheme=Scheme.decimal)},
            {'name': 'TX', 'id': 'TX', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
            {'name': 'TY', 'id': 'TY', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
            {'name': 'TZ', 'id': 'TZ', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
            {'name': 'RX', 'id': 'RX', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
            {'name': 'RY', 'id': 'RY', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
            {'name': 'RZ', 'id': 'RZ', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
            {'name': 'SENE Hinges', 'id': 'joint', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
            {'name': 'SENE Panels', 'id': 'shell', 'type': 'numeric', 'format': Format(precision=2, scheme=Scheme.percentage)},
        ],
        style_data_conditional=(
            data_bars(df_sene_mem, 'TX', clr='rgb(11, 94, 215)') +
            data_bars(df_sene_mem, 'TY', clr='rgb(11, 94, 215)') +
            data_bars(df_sene_mem, 'TZ', clr='rgb(11, 94, 215)') +
            data_bars(df_sene_mem, 'RX', clr='rgb(11, 94, 215)') +
            data_bars(df_sene_mem, 'RY', clr='rgb(11, 94, 215)') +
            data_bars(df_sene_mem, 'RZ', clr='rgb(11, 94, 215)') +
            data_bars(df_sene_mem, 'joint', clr='rgb(11, 94, 215)') +
            data_bars(df_sene_mem, 'shell', clr='rgb(11, 94, 215)')
        ),
    )

    set_progress((str(10), str(10)))
    return dash_vtk.Mesh(state=mesh_state), rng, fig_cb, dt