Update app.py

app.py

@@ -82,6 +82,9 @@ def generate_mock_historical_data(num_teams, num_conferences, num_inter_games, s
 
 # Team Workload Analysis
 def team_workload_analysis(schedule_df):
+    if schedule_df is None:
+        return
+    else
     """Generate a bar chart showing the number of matches each team has per week."""
     schedule_df['Week'] = schedule_df['Date'].dt.isocalendar().week
     team_counts = schedule_df.groupby(['Week', 'Team 1']).size().unstack().fillna(0)
@@ -97,6 +100,9 @@ def team_workload_analysis(schedule_df):
 
 # Match Distribution
 def match_distribution(schedule_df):
+    if schedule_df is None:
+        return
+    else
     """Generate a histogram showing match distribution across months."""
     schedule_df['Month'] = schedule_df['Date'].dt.month_name()
     month_order = ['November', 'December', 'January', 'February', 'March']
@@ -112,6 +118,9 @@ def match_distribution(schedule_df):
 
 # Inter-Conference Match Analysis
 def inter_conference_analysis(schedule_df):
+    if schedule_df is None:
+        return
+    else
     """Generate a heatmap showing inter-conference match frequencies."""
     # Extract the conference from the team names
     schedule_df['Conference 1'] = schedule_df['Team 1'].str[0]
@@ -143,6 +152,9 @@ def inter_conference_analysis(schedule_df):
 
 # Commissioner Analytics
 def commissioner_analytics(schedule_df, commissioners):
+    if schedule_df is None:
+        return
+    else
     """Generate a bar chart showing matches overseen by each commissioner."""
     # Assuming each commissioner oversees a specific conference
     comm_dict = {f"Conference {chr(65+i)}": comm for i, comm in enumerate(commissioners)}
@@ -221,6 +233,11 @@ st.header("Analytics & Comparisons")
 analytics_option = st.selectbox("Choose an analysis type:", ["Team Workload Analysis", "Match Distribution", "Inter-Conference Match Analysis", "Commissioner Analytics"])
 st.session_state.historical_data['Date'] = pd.to_datetime(st.session_state.historical_data['Date'])
 
+if st.session_state.schedule_df is not None:
+    # Call the analytics functions here
+
+
+
 if analytics_option == "Team Workload Analysis":
     st.subheader("Historical Data")
     st.pyplot(team_workload_analysis(st.session_state.historical_data))
@@ -244,5 +261,7 @@ elif analytics_option == "Commissioner Analytics":
     st.pyplot(commissioner_analytics(st.session_state.historical_data, commissioners))
     st.subheader("Current Data")
     st.pyplot(commissioner_analytics(st.session_state.schedule_df, commissioners))
+else:
+    st.warning("Please generate the schedule first before viewing analytics.")
 
 # Export functionality can be added later