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analytics updated
1 parent c52cb1b commit 72f238b

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+75
-66
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2 files changed

+75
-66
lines changed

‎lib/analytics.py‎

Lines changed: 14 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -9,17 +9,26 @@ def __init__(self):
99

1010
@staticmethod
1111
def finding_address():
12-
val = get_mac()
13-
return val
12+
try:
13+
val = get_mac()
14+
return val
15+
except Exception as e:
16+
return ''
1417

1518
@staticmethod
1619
def finding_ip():
17-
val = socket.gethostbyname(socket.gethostname())
18-
return val
20+
try:
21+
val = socket.gethostbyname(socket.gethostname())
22+
return val
23+
except Exception as e:
24+
return ''
1925

2026
@staticmethod
2127
def finding_system():
22-
return platform.system()
28+
try:
29+
return platform.system()
30+
except Exception as e:
31+
return ''
2332

2433
def __setitem__(self, key, val):
2534
self.dict[key] = val

‎lib/dashboard.py‎

Lines changed: 61 additions & 61 deletions
Original file line numberDiff line numberDiff line change
@@ -224,11 +224,10 @@ def dash(self, df, mode):
224224
dbc.Col(dbc.NavItem(dbc.NavLink("Distributions", href="/apps/distribution")),
225225
style={'width': "150px", 'fontSize': '10px'}),
226226
dbc.Col(dbc.NavItem(dbc.NavLink("Cohort Analysis", href="/apps/cohort")),
227-
style={'width': "150px", 'fontSize': '10px'})
227+
style={'width': "150px", 'fontSize': '10px'})
228228

229229
],
230230

231-
232231
no_gutters=True,
233232
className="ml-auto flex-nowrap mt-3 mt-md-0",
234233
align="center"
@@ -284,43 +283,49 @@ def display_page(pathname):
284283
else:
285284
return welcome_message
286285

287-
288286
welcome_message = html.Div(
289287
[
290288
html.Div([
291289
html.H3("Welcome to ExplainX.ai Explainable AI Dashboard"),
292290
html.H4("Start explaining your model by exploring one of the following options.")
293-
], style={'margin-left':"20px"}),
291+
], style={'margin-left': "20px"}),
294292
html.Div([
295293
html.Div([
296-
html.Img(src='https://lh3.googleusercontent.com/uNkpoLQRIza6SSDk9fQed6bu6c1Q9zDkDjZqkRtF3cU97Smf2rS0soKo2ZQm32gJe8FyLYvNRUYJ-hqM7zs4esIAFchdPmgC4sHgbpxTKkGjm4dRK-NagI56K8vnXg8FH4s_Jct2RaQ', className = "global_explanation_image"),
294+
html.Img(
295+
src='https://lh3.googleusercontent.com/uNkpoLQRIza6SSDk9fQed6bu6c1Q9zDkDjZqkRtF3cU97Smf2rS0soKo2ZQm32gJe8FyLYvNRUYJ-hqM7zs4esIAFchdPmgC4sHgbpxTKkGjm4dRK-NagI56K8vnXg8FH4s_Jct2RaQ',
296+
className="global_explanation_image"),
297297

298298
dcc.Link("Global Explanation", href="/apps/global_explanation", className="link")
299-
], className ="welcome_box", id="global_explanation_deets"),
300-
299+
], className="welcome_box", id="global_explanation_deets"),
301300

302301
html.Div([
303-
html.Img(src='https://lh3.googleusercontent.com/LpM-N2QavBVxlMW6vKm5fmT5Qe3mYtI2q2OQc5kgZfW4kKOFlyidgrwT5C9zB3XHZncHvlGcFl82Si7bMDQN_PtLf4PThqdEUs1UwoUPeNHs0VYY6ICKlHi44ppZLZIMQvaWI4bMqm0', className = "global_explanation_image"),
302+
html.Img(
303+
src='https://lh3.googleusercontent.com/LpM-N2QavBVxlMW6vKm5fmT5Qe3mYtI2q2OQc5kgZfW4kKOFlyidgrwT5C9zB3XHZncHvlGcFl82Si7bMDQN_PtLf4PThqdEUs1UwoUPeNHs0VYY6ICKlHi44ppZLZIMQvaWI4bMqm0',
304+
className="global_explanation_image"),
304305

305306
dcc.Link("Local Level Explanation", href="/apps/local_explanation", className="link")
306307

307308
], className="welcome_box", id="local_explanation_deets"),
308309

309310
html.Div([
310-
html.Img(src='https://lh6.googleusercontent.com/GXnNtGlqQcsRXugwwlZ31SwrJda4Z1WVyIi5i13vZImrUY6YgIZvM81d7zrBOh8n2jK_Lqj3BB5IqS4dU5l680-rZuu40bMXa-EAd8ag3WDIU2SNYieg0DH3e_FwUq5f2-y-X_POE-k', className = "global_explanation_image"),
311+
html.Img(
312+
src='https://lh6.googleusercontent.com/GXnNtGlqQcsRXugwwlZ31SwrJda4Z1WVyIi5i13vZImrUY6YgIZvM81d7zrBOh8n2jK_Lqj3BB5IqS4dU5l680-rZuu40bMXa-EAd8ag3WDIU2SNYieg0DH3e_FwUq5f2-y-X_POE-k',
313+
className="global_explanation_image"),
311314

312-
dcc.Link("Feature Interactions", href="/apps/feature_interaction", className="link" )
315+
dcc.Link("Feature Interactions", href="/apps/feature_interaction", className="link")
313316

314317
], className="welcome_box", id="feature_interaction_deets"),
315318

316319
html.Div([
317-
html.Img(src='https://uploads-ssl.webflow.com/5edc18e72f7ba21e1ed2efae/5f519fd99580494301e67b7b_pipeline.png', className = "global_explanation_image"),
320+
html.Img(
321+
src='https://uploads-ssl.webflow.com/5edc18e72f7ba21e1ed2efae/5f519fd99580494301e67b7b_pipeline.png',
322+
className="global_explanation_image"),
318323

319324
dcc.Link("Cohort Analysis", href="/apps/cohort", className="link")
320325

321326
], className="welcome_box", id="cohort_analysis_deets")
322327
], className="main_welcome_div"),
323-
328+
324329
]
325330

326331
)
@@ -335,8 +340,8 @@ def display_page(pathname):
335340
"Analyze using SQL",
336341
id="collapse-button-2",
337342
color="link",
338-
style={'fontSize': '10px', 'margin-top':'0px'}), style={"margin-top":"0px"}),
339-
style={"height":"50px"}),
343+
style={'fontSize': '10px', 'margin-top': '0px'}), style={"margin-top": "0px"}),
344+
style={"height": "50px"}),
340345
dbc.Collapse(html.Div([
341346
html.Div(dcc.Input(
342347
id='input-on-submit',
@@ -366,8 +371,8 @@ def display_page(pathname):
366371
"View Your Data",
367372
id="collapse-button",
368373
color="link",
369-
style={'fontSize': '10px'}), style={"margin-top":"0px"}),
370-
style={"height":"50px"}),
374+
style={'fontSize': '10px'}), style={"margin-top": "0px"}),
375+
style={"height": "50px"}),
371376
dbc.Collapse(html.Div([
372377
html.H4('',
373378
style=style1),
@@ -463,42 +468,39 @@ def toggle_collapse(n, is_open):
463468
return not is_open
464469
return is_open
465470

466-
#Cohort Analysis - Callbacks
471+
# Cohort Analysis - Callbacks
467472
@app.callback(
468-
Output("modal", "is_open"),
469-
[Input("open", "n_clicks"), Input("close", "n_clicks")],
470-
[State("modal", "is_open")],
471-
prevent_initial_call=True)
473+
Output("modal", "is_open"),
474+
[Input("open", "n_clicks"), Input("close", "n_clicks")],
475+
[State("modal", "is_open")],
476+
prevent_initial_call=True)
472477
def toggle_modal(n1, n2, is_open):
473478
if n1 or n2:
474479
return not is_open
475480
return is_open
476481

477482
@app.callback(
478-
[Output("cohort-metrics-div", "children"),
479-
Output("cohort-details", "children"),
480-
Output("cohort-graph", "children")],
481-
[Input("add-cohort","n_clicks"),
482-
Input("remove-cohort","n_clicks"),
483-
Input("x-axis","value")],
484-
[State("demo-dropdown","value"),
485-
State("demo-operators", "value"),
486-
State("demo-values", "value")])
483+
[Output("cohort-metrics-div", "children"),
484+
Output("cohort-details", "children"),
485+
Output("cohort-graph", "children")],
486+
[Input("add-cohort", "n_clicks"),
487+
Input("remove-cohort", "n_clicks"),
488+
Input("x-axis", "value")],
489+
[State("demo-dropdown", "value"),
490+
State("demo-operators", "value"),
491+
State("demo-values", "value")])
487492
def cohort_metrics_details(add_cohort, remove_cohort, x_axis, var_name, operator, value):
488493
changed_id = [p['prop_id'] for p in dash.callback_context.triggered][0]
489494
if 'remove-cohort' in changed_id:
490495
ca.remove_cohort()
491496
fig = ca.cohort_graph(x_axis)
492-
return ca.cohort_metrics_details(), ca.cohort_details(), dcc.Graph(figure=fig),
497+
return ca.cohort_metrics_details(), ca.cohort_details(), dcc.Graph(figure=fig),
493498
else:
494-
ca.add_cohort_metrics(df, var_name, operator,value, self.param["is_classification"])
499+
ca.add_cohort_metrics(df, var_name, operator, value, self.param["is_classification"])
495500
cohort = ca.add_cohort(df, x_axis, var_name, operator, value)
496501
fig = ca.cohort_graph(x_axis)
497502
return ca.cohort_metrics_details(), ca.cohort_details(), dcc.Graph(figure=fig)
498503

499-
500-
501-
502504
# SQL - Data Input Callback
503505
@app.callback(
504506
dash.dependencies.Output('sql-query-button', 'children'),
@@ -507,7 +509,6 @@ def cohort_metrics_details(add_cohort, remove_cohort, x_axis, var_name, operator
507509
def update_output(n_clicks, value):
508510
sql_query = f'{value}'
509511
return sql_query
510-
511512

512513
# What-If Form CallBack
513514
@app.callback(
@@ -555,25 +556,22 @@ def update_impact_graph(*values):
555556
df.columns = self.param["columns"]
556557
array = self.calculate_prediction_shap(df)
557558

558-
#Y_Pred
559-
#Probability_
559+
# Y_Pred
560+
# Probability_
560561
if self.param["is_classification"]:
561-
y_and_prob=[]
562+
y_and_prob = []
562563
y_and_prob.append(int(array["y_prediction"]))
563-
y_and_prob.append(round(float(array["Probability_"+str(int(array["y_prediction"])) ]),2))
564+
y_and_prob.append(round(float(array["Probability_" + str(int(array["y_prediction"]))]), 2))
564565
else:
565566
y_and_prob = []
566-
y_and_prob.append(round(float(array["y_prediction"]),2))
567+
y_and_prob.append(round(float(array["y_prediction"]), 2))
567568

568569
# figure, dat = g.feature_impact_old(array)
569570
figure, dat = g.local_feature_impact_graph(array)
570571
message = self.insights.insight_2_local_feature_impact(dat, y_and_prob)
571572

572-
573-
574573
return figure, message[0], message[1], message[2], message[3]
575574

576-
577575
# Prototypical Analysis
578576
"""
579577
Change this. Take input from what-if from
@@ -606,7 +604,7 @@ def update_table(*values):
606604
sample_row = sample_row.to_frame()
607605
sample_row.rename(columns={sample_row.columns[0]: "orig"}, inplace=True)
608606
sample_row.reset_index(inplace=True)
609-
#print(sample_row.columns)
607+
# print(sample_row.columns)
610608
dat = pd.merge(dat, sample_row, on=['index'], how='left')
611609
dat['orig'] = dat['orig'].astype(float)
612610
for i in list(dat.columns):
@@ -638,7 +636,7 @@ def update_graphs(sql_query, value):
638636
graph_type = "feature_importance"
639637
dff = self.caching_data_manager(df, sql_query, graph_type, g.feature_importance)
640638
message = self.insights.insight_1_feature_imp(dff)
641-
figure = g.global_feature_importance_graph(dff, self.param["is_classification"])
639+
figure = g.global_feature_importance_graph(dff, self.param["is_classification"])
642640
return figure, message[0]
643641

644642
# Global Feature Impact
@@ -661,7 +659,7 @@ def update_graphs(sql_query, value):
661659
@app.callback(
662660
Output('indicator-graphic', 'figure'),
663661
[Input('xaxis-column', 'value'),
664-
# Input('yaxis-column', 'value'),
662+
# Input('yaxis-column', 'value'),
665663
Input('third-axis', 'value'),
666664
Input('sql-query-button', 'children')])
667665
def update_graph(xaxis_column_name, third_axis_name, sql_query):
@@ -675,7 +673,7 @@ def update_graph(xaxis_column_name, third_axis_name, sql_query):
675673
graph_type = 'pdp'
676674
df3 = self.caching_data_manager(df, sql_query, graph_type, g.partial_dependence_plot)
677675
print(df3)
678-
fig = g.pdp_plot(df3, df3[xaxis_column_name], df3[xaxis_column_name+"_impact"], df3[third_axis_name])
676+
fig = g.pdp_plot(df3, df3[xaxis_column_name], df3[xaxis_column_name + "_impact"], df3[third_axis_name])
679677
return fig
680678

681679
# Summary Plot
@@ -684,7 +682,6 @@ def update_graph(xaxis_column_name, third_axis_name, sql_query):
684682
[Input('sql-query-button', 'children'),
685683
Input('xaxis-column-test', 'value')])
686684
def update_graph2(sql_query, value):
687-
688685

689686
g = plotly_graphs()
690687
graph_type = 'summary_plot'
@@ -710,48 +707,52 @@ def update_graph2(xaxis_column_name, plot_type, sql_query):
710707
num_variables.append(i)
711708

712709
if plot_type == "Histogram":
713-
710+
714711
return px.histogram(df3, x=xaxis_column_name, marginal="box", template="plotly_white")
715712
else:
716713
for i in cat_variables:
717714
return px.violin(df3, x=xaxis_column_name, box=True, points='all', template="plotly_white")
718715
else:
719716
return px.violin(df3, y=xaxis_column_name, box=True, points='all', template="plotly_white")
720717

721-
722718
# Port Finder
723719
port = 8080
724-
debug_value= False
725-
720+
debug_value = False
726721

727722
if mode == "inline":
728723
try:
729724
app.run_server(mode="inline", port=port, debug=debug_value, dev_tools_ui=debug_value,
730-
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging = True, dev_tools_hot_reload=True)
725+
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging=True,
726+
dev_tools_hot_reload=True)
731727
except:
732728
port = self.find_free_port()
733729
app.run_server(mode="inline", port=port, debug=debug_value, dev_tools_ui=debug_value,
734-
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging = True, dev_tools_hot_reload=True)
730+
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging=True,
731+
dev_tools_hot_reload=True)
735732
else:
736733
try:
737734
app.run_server(host='0.0.0.0', port=port, debug=debug_value, dev_tools_ui=debug_value,
738-
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging = True, dev_tools_hot_reload=True)
735+
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging=True,
736+
dev_tools_hot_reload=True)
739737
except:
740738
# try different ip in case 0.0.0.0 does not work
741739
try:
742740
try:
743741
port = self.find_free_port()
744742
app.run_server(host='0.0.0.0', port=port, debug=debug_value, dev_tools_ui=debug_value,
745-
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging = True, dev_tools_hot_reload=True)
743+
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging=True,
744+
dev_tools_hot_reload=True)
746745
except:
747746
port = self.find_free_port()
748747
app.run_server(host='0.0.0.0', port=port, debug=debug_value, dev_tools_ui=debug_value,
749-
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging = True, dev_tools_hot_reload=True)
748+
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging=True,
749+
dev_tools_hot_reload=True)
750750
except:
751751
try:
752752
port = self.find_free_port()
753753
app.run_server(host='127.0.0.1', port=port, debug=debug_value, dev_tools_ui=debug_value,
754-
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging = True, dev_tools_hot_reload=True)
754+
dev_tools_props_check=debug_value, dev_tools_silence_routes_logging=True,
755+
dev_tools_hot_reload=True)
755756
except:
756757
print("Please restart Jupyter Notebook or Python IDE.")
757758
return False
@@ -812,7 +813,7 @@ def calculate_prediction_shap(self, df):
812813
# prediction col
813814
df_final["y_prediction"] = prediction_col
814815

815-
if is_classification==True:
816+
if is_classification == True:
816817

817818
# find and add probabilities in the dataset.
818819
prediction_col_prob = self.param["model"].predict_proba(df.to_numpy())
@@ -821,7 +822,6 @@ def calculate_prediction_shap(self, df):
821822
for c in pd_prediction_col_prob.columns:
822823
df_final["Probability_" + str(c)] = list(pd_prediction_col_prob[c])
823824

824-
825825
return df_final
826826

827827
def calculate_prediction(self, df):

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