pyAnsys_DPF_callback_1.py

@app.callback(
    Output(f'{APP_ID}_example_tf_dropdown', 'options'),
    Output(f'{APP_ID}_example_tf_dropdown', 'value'),
    Output(f'{APP_ID}_example_result_dropdown','options'),
    Output(f'{APP_ID}_example_result_dropdown','value'),
    Input(f'{APP_ID}_example_dropdown', 'value')
)
def dash_vtk_update_result_options(example_name):
    ctx = dash.callback_context
    if not ctx.triggered:
        raise PreventUpdate

    model = dpf.Model(EXAMPLE_MAP[example_name])
    result_info = model.metadata.result_info
    res_options = [{'label': res.name, 'value': res.name} for res in result_info.available_results]

    tf = model.metadata.time_freq_support.time_frequencies.data
    tf_options = [{'label': tfi, 'value': i} for i, tfi in enumerate(tf)]

    return tf_options, len(tf)-1, res_options, result_info.available_results[0].name


@app.callback(
    Output(f'{APP_ID}_example_comp_dropdown','options'),
    Output(f'{APP_ID}_example_comp_dropdown','value'),
    Output(f'{APP_ID}_example_comp_dropdown','disabled'),
    Input(f'{APP_ID}_example_result_dropdown','value'),
    State(f'{APP_ID}_example_dropdown', 'value')
)
def dash_vtk_update_comp_options(res_name, example_name):
    ctx = dash.callback_context
    if not ctx.triggered:
        raise PreventUpdate
    
    model = dpf.Model(EXAMPLE_MAP[example_name])
    result_info = model.metadata.result_info
    res = next((r for r in result_info.available_results if r.name == res_name), None)
    if res is not None:
        if res.n_components == 1:
            comp_options = [{'label': 0, 'value': 0}]
            comp_value = 0
            comp_disabled = True
        else:
            comp_options = [{'label': i, 'value': i} for i in range(res.n_components)]
            comp_value = 0
            comp_disabled = False
        return comp_options, comp_value, comp_disabled
    else:
        raise PreventUpdate