Skip to content

Commit

Permalink
Added Exceptional handling for parameter definition
Browse files Browse the repository at this point in the history
  • Loading branch information
@Simardeep27
Simardeep27 committed Jul 22, 2021
1 parent 908a4ad commit e8c455d
Show file tree
Hide file tree
Showing 2 changed files with 90 additions and 55 deletions.
2 changes: 1 addition & 1 deletion .idea/workspace.xml
View file

Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.

143 changes: 89 additions & 54 deletions apps/Analytical.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -157,7 +157,7 @@
dbc.Row(
[
dbc.Col(
dbc.Button('Set basis', id='basis_button', n_clicks=0, className='ip_buttons',color='primary',disabled=True),
dbc.Button('Set basis', id='basis_button', n_clicks=0, className='ip_buttons',color='primary',disabled=False),
width=2),
dbc.Col(
dbc.Input(bs_size="sm", id='op_box', type="number", value='', placeholder='Cardinality...', className='ip_field',disabled=True),
Expand Down Expand Up @@ -294,7 +294,8 @@

right_side = dbc.Spinner(
[
dcc.Graph(id='plot_poly_3D', style={'width': 'inherit','height':'60vh'}, figure=polyfig3D)
dcc.Graph(id='plot_poly_3D', style={'width': 'inherit','height':'60vh'}, figure=polyfig3D),
dbc.Alert(id='plot_poly_info',color='primary',is_open=False)
], color='primary',type='grow',show_initially=False
)

Expand Down Expand Up @@ -458,8 +459,8 @@ def addInputs(n_clicks, children):
[
dbc.Label('Plot PDF'),
dbc.Checklist(
options=[{"value": "val_{}".format(n_clicks)}],
switch=True, value=[0], id={"type": "radio_pdf","index": n_clicks}
options=[{"value": "val_{}".format(n_clicks),'disabled':True}],
switch=True, value=[0], id={"type": "radio_pdf","index": n_clicks},
)
]
)
Expand All @@ -485,17 +486,18 @@ def addInputs(n_clicks, children):
###################################################################
# Callback for disabling Cardinality Check button
###################################################################
# @app.callback(
# Output('basis_button','disabled'),
# [
# Input('AP_button','n_clicks'),
# ]
# )
# def CheckifAPClicked(n_clicks):
# if n_clicks>0:
# return False
# else:
# return True
@app.callback(
Output('basis_button','disabled'),
[
Input('AP_button','n_clicks'),
]
)
def CheckifAPClicked(n_clicks):
changed_id = [p['prop_id'] for p in dash.callback_context.triggered][0]
if 'AP_button' in changed_id:
return False
else:
return True

###################################################################
# Callback for disabling Compute Uncertainty button
Expand All @@ -504,14 +506,24 @@ def addInputs(n_clicks, children):
Output('CU_button','disabled'),
[
Input('basis_button','n_clicks'),
Input('input_func','value')
Input('input_func','value'),
Input('AP_button','n_clicks')
],
)
def CheckifCCClickd(n_clicks,input_val):
if n_clicks>0 and input_val is not None:
return False
else:
def CheckifCCClickd(n_clicks,input_val,ap):
changed_id = [p['prop_id'] for p in dash.callback_context.triggered][0]
print('id',changed_id)
if 'AP_button' in changed_id:
return True
else:
changed_id = [p['prop_id'] for p in dash.callback_context.triggered][0]
if 'basis_button' or 'input_func' in changed_id:
if n_clicks>0 and input_val is not None:
return False
else:
return True
else:
return True

###################################################################
# Callback to map input boxes to distributions
Expand Down Expand Up @@ -549,50 +561,62 @@ def UpdateInputField(value):
@app.callback(
ServersideOutput('ParamsObject', 'data'),
Output('ndims','data'),
Output('basis_button','disabled'),
[
Input({'type': 'params', 'index': dash.dependencies.ALL}, 'value'),
Input({'type': 'params_2', 'index': dash.dependencies.ALL}, 'value'),
Input({'type': 'drop-1', 'index': dash.dependencies.ALL}, 'value'),
Input({'type': 'max_val', 'index': dash.dependencies.ALL}, 'value'),
Input({'type': 'min_val', 'index': dash.dependencies.ALL}, 'value'),
Input({'type': 'order', 'index': dash.dependencies.ALL}, 'value'),
Input('basis_button','n_clicks'),
],
prevent_intial_call=True
)
def ParamListUpload(shape_parameter_A, shape_parameter_B, distribution, max_val, min_val, order):
def ParamListUpload(shape_parameter_A, shape_parameter_B, distribution, max_val, min_val, order,basis_click):
i = len(distribution)
# input_list=['shape_parameter_A','shape_parameter_B','distribution','max_val','min_val','order']
param_list = []
if i > 0:
# ctx = dash.callback_context
# id = ctx.triggered[0]['prop_id'].split('.')[0]
# idx = ast.literal_eval(id)['type']
# if idx in input_list:
# print(idx)
for j in range(i):
if distribution[j] in MEAN_VAR_DIST:
param = eq.Parameter(distribution=distribution[j], shape_parameter_A=shape_parameter_A[j]
changed_id = [p['prop_id'] for p in dash.callback_context.triggered][0]
if 'basis_button' in changed_id:
if i > 0:
for j in range(i):
if distribution[j] in MEAN_VAR_DIST:
if (shape_parameter_A[j] and shape_parameter_B[j] and order[j]) is None:
return None,None
if order[j]<0:
return None,None
else:
param = eq.Parameter(distribution=distribution[j], shape_parameter_A=shape_parameter_A[j]
, shape_parameter_B=shape_parameter_B[j], lower=min_val[j],
upper=max_val[j],
order=order[j])

elif distribution[j] in ALL_4:
param = eq.Parameter(distribution=distribution[j], shape_parameter_A=shape_parameter_A[j]
elif distribution[j] in ALL_4:
if (shape_parameter_A[j] and shape_parameter_B[j] and min_val[j] and max_val[j] and order[j]) is None:
return None,None
elif min_val[j]>max_val[j]:
return None,None
else:
param = eq.Parameter(distribution=distribution[j], shape_parameter_A=shape_parameter_A[j]
, shape_parameter_B=shape_parameter_B[j], lower=min_val[j], upper=max_val[j],
order=order[j])


elif distribution[j] in SHAPE_PARAM_DIST:
param = eq.Parameter(distribution=distribution[j], shape_parameter_A=shape_parameter_A[j],
elif distribution[j] in SHAPE_PARAM_DIST:
if (shape_parameter_A[j] and order[j]) is None:
return None,None
else:
param = eq.Parameter(distribution=distribution[j], shape_parameter_A=shape_parameter_A[j],
order=order[j])

elif distribution[j] in LOWER_UPPER_DIST:
param = eq.Parameter(distribution=distribution[j], lower=min_val[j], upper=max_val[j], order=order[j])
elif distribution[j] in LOWER_UPPER_DIST:
if (min_val[j] and max_val[j] and order[j]) is None:
return None,None
else:
param = eq.Parameter(distribution=distribution[j], lower=min_val[j], upper=max_val[j], order=order[j])

# print(param)
param_list.append(param)
return param_list,len(param_list),False
param_list.append(param)
return param_list,len(param_list)
else:
raise PreventUpdate



Expand Down Expand Up @@ -763,16 +787,19 @@ def SetBasis(param_obj,n_clicks,basis_select, q_val, levels, growth_rule):
# Compute subspace (if button has just been pressed)
changed_id = [p['prop_id'] for p in dash.callback_context.triggered][0]
if 'basis_button' in changed_id:
if basis_select is None:
return 'Error...',None,True,'No basis value selected'
elif basis_select=='sparse-grid' and (levels or growth_rule) is None:
if param_obj is not None:
if basis_select is None:
return 'Error...',None,True,'No basis value selected'
elif basis_select=='sparse-grid' and (levels or growth_rule) is None:
return 'ERROR...',None,True,'Enter the required values'
else:
basis_ord=[]
for elem in param_obj:
basis_ord.append(elem.order)
mybasis = Set_Basis(basis_val=basis_select, order=basis_ord, level=levels, q_val=q_val, growth_rule=growth_rule)
return mybasis.get_cardinality(), mybasis, False, None
else:
basis_ord=[]
for elem in param_obj:
basis_ord.append(elem.order)
mybasis = Set_Basis(basis_val=basis_select, order=basis_ord, level=levels, q_val=q_val, growth_rule=growth_rule)
return mybasis.get_cardinality(), mybasis, False, None
return 'ERROR...',None,True,'Incorrect parameter values'
else:
raise PreventUpdate

Expand All @@ -788,7 +815,7 @@ def SetBasis(param_obj,n_clicks,basis_select, q_val, levels, growth_rule):
)
def PlotBasis(params, mybasis, method, ndims):
changed_id = [p['prop_id'] for p in dash.callback_context.triggered][0]
if 'BasisObject' in changed_id:
if 'ParamsObject' in changed_id:
if mybasis is not None:
# Fit a poly just to get points (this isn't used elsewhere)
mypoly = Set_Polynomial(params, mybasis, method)
Expand Down Expand Up @@ -1032,6 +1059,8 @@ def Plot_Sobol(mypoly, order, ndims, fig):
@app.callback(
Output('plot_poly_3D', 'figure'),
Output('plot_poly_3D','style'),
Output('plot_poly_info','is_open'),
Output('plot_poly_info','children'),
Input('PolyObject', 'data'),
Trigger('CU_button', 'n_clicks'),
Input('ndims','data'),
Expand Down Expand Up @@ -1061,7 +1090,7 @@ def Plot_poly_3D(mypoly, ndims,fig):
fig.data = fig.data[0:2]
fig.plotly_restyle({'x': S1, 'y': S2, 'z': PolyDiscreet}, 0)
fig.plotly_restyle({'x': DOE[:, 0], 'y': DOE[:, 1], 'z': y_true}, 1)
return fig,default
return fig,default,False,None
elif ndims==1:
layout = {"xaxis": {"title": r'$x_1$'}, "yaxis": {"title": r'$f(x_1)$'},
'margin': {'t': 0, 'r': 0, 'l': 0, 'b': 60},
Expand Down Expand Up @@ -1090,10 +1119,16 @@ def Plot_poly_3D(mypoly, ndims,fig):
line=dict(color='rgb(0,0,0)', width=1))))
fig.add_trace(go.Scatter(x=S1,y=PolyDiscreet,mode='lines',name='Polynomial approx.',line_color='rgb(178,34,34)'))

return fig,default
return fig,default,False,None

else:
return fig,hide
added_text='''
The Polyfit Plot exists for only **1D** and **2D** Polynomials, as we move to higher dimensions,
visualisation of data becomes computationally expensive and hence, we stick to 2D or 3D plots
'''
added_text = dcc.Markdown(convert_latex(added_text), dangerously_allow_html=True,
style={'text-align': 'justify'})
return fig,hide,True,added_text
else:
raise PreventUpdate
else:
Expand Down

0 comments on commit e8c455d

Please sign in to comment.