Update app.py

app.py

@@ -59,19 +59,6 @@ with tab1:
     # Retrieving model
     building_hist_model = get_building_model()    
     
-    # Loading the feature view with latest data for building
-    #building_new_fv = fs.get_feature_view(
-    #    name = 'building_new_fv',
-    #    version = 1)
-
-    # Function to loading the feature view with latest data for building as a dataset
-    #@st.cache_data()
-    #def retrieve_building(feature_view=building_new_fv):
-    #    building_new_fv = feature_view.get_batch_data()
-    #    return building_new_fv
-
-    # Retrieving building data
-    #building_new = retrieve_building()
 
     # Loading the feature group with latest data for building
     api_building_newest_fg = fs.get_feature_group(name = 'api_building_newest', version = 1)
@@ -93,28 +80,25 @@ with tab1:
     building_new = building_new.set_index(['time'])
     st.dataframe(building_new[['prediction']].tail(5)) 
 
-    # .style.applymap(color_prediction, subset=['prediction'])
-    
-    # Loading the feature view with latest data for bikelane
-    #bikelane_new_fv = fs.get_feature_view(
-    #    name = 'bikelane_new_fv',
-    #    version = 1)
+    # Loading the feature group with latest data for bikelane
+    api_bikelane_newest_fg = fs.get_feature_group(name = 'api_bikelane_newest', version = 1)
 
-    # Function to loading the feature view with latest data for bikelane as a dataset
-    #@st.cache_data()
-    #def retrieve_bikelane(feature_view=bikelane_new_fv):
-    #    bikelane_new_fv = feature_view.get_batch_data()
-    #    return bikelane_new_fv
-
-    # Retrieving bikelane data
-    #bikelane_new = retrieve_bikelane()
+    # Function to loading the feature group with latest data for building as a dataset
+    @st.cache_data()
+    def retrieve_bikelane(feature_group=api_bikelane_newest_fg):
+        api_bikelane_newest_fg = feature_group.select(["time", "x", "y", "z"])
+        df_bikelane = api_bikelane_newest_fg.read()
+        return df_bikelane
 
-    #st.markdown('Parking Space near Bikelane:')
-    #bikelane_most_recent_prediction = bikelane_new[['x', 'y', 'z']]
-    #bikelane_most_recent_prediction = bikelane_hist_model.predict(bikelane_most_recent_prediction)
-    #bikelane_new['prediction'] = bikelane_most_recent_prediction
-    #bikelane_new = bikelane_new.set_index(['time'])
-    #st.dataframe(bikelane_new[['prediction']].tail(5).style.applymap(color_prediction, subset=['prediction']))
+    # Retrieving building data
+    bikelane_new = retrieve_bikelane()
+    
+    st.markdown('Parking Space near Bikelane:')
+    bikelane_most_recent_prediction = bikelane_new[['x', 'y', 'z']]
+    bikelane_most_recent_prediction = bikelane_hist_model.predict(bikelane_most_recent_prediction)
+    bikelane_new['prediction'] = bikelane_most_recent_prediction
+    bikelane_new = bikelane_new.set_index(['time'])
+    st.dataframe(bikelane_new[['prediction']].tail(5)) 
 
     if st.button("Update status"):
         st.rerun()
@@ -167,4 +151,41 @@ with tab4:
 
     # Confusion Matrix
     st.subheader("Confusion Matrix")
-    st.markdown('In this confusion matrix...')
+    st.markdown('In this confusion matrix...')
+
+    # Loading the feature view with latest data for building
+    #building_new_fv = fs.get_feature_view(
+    #    name = 'building_new_fv',
+    #    version = 1)
+
+    # Function to loading the feature view with latest data for building as a dataset
+    #@st.cache_data()
+    #def retrieve_building(feature_view=building_new_fv):
+    #    building_new_fv = feature_view.get_batch_data()
+    #    return building_new_fv
+
+    # Retrieving building data
+    #building_new = retrieve_building()
+
+    # .style.applymap(color_prediction, subset=['prediction'])
+    
+    # Loading the feature view with latest data for bikelane
+    #bikelane_new_fv = fs.get_feature_view(
+    #    name = 'bikelane_new_fv',
+    #    version = 1)
+
+    # Function to loading the feature view with latest data for bikelane as a dataset
+    #@st.cache_data()
+    #def retrieve_bikelane(feature_view=bikelane_new_fv):
+    #    bikelane_new_fv = feature_view.get_batch_data()
+    #    return bikelane_new_fv
+
+    # Retrieving bikelane data
+    #bikelane_new = retrieve_bikelane()
+
+    #st.markdown('Parking Space near Bikelane:')
+    #bikelane_most_recent_prediction = bikelane_new[['x', 'y', 'z']]
+    #bikelane_most_recent_prediction = bikelane_hist_model.predict(bikelane_most_recent_prediction)
+    #bikelane_new['prediction'] = bikelane_most_recent_prediction
+    #bikelane_new = bikelane_new.set_index(['time'])
+    #st.dataframe(bikelane_new[['prediction']].tail(5).style.applymap(color_prediction, subset=['prediction']))