Update app.py

app.py

@@ -105,6 +105,8 @@ transport_distance = st.sidebar.number_input("Transport Distance (km)", min_valu
 
 # Function to calculate footprints
 def calculate_footprints(weight, composition, lifecycle_inputs):
+    st.write("Inputs to calculate_footprints:", weight, composition, lifecycle_inputs)  # Log inputs for debugging
+
     # Initialize footprints
     water_footprint = 0
     energy_footprint = 0
@@ -114,28 +116,36 @@ def calculate_footprints(weight, composition, lifecycle_inputs):
     for fiber, percentage in composition.items():
         if fiber in fiber_impact_data:
             data = fiber_impact_data[fiber]
+            st.write(f"Processing {fiber} with percentage {percentage}%")  # Debugging
             fraction = percentage / 100
             water_footprint += data["Water"] * weight * fraction
             energy_footprint += data["Energy"] * weight * fraction
             carbon_footprint += data["Carbon"] * weight * fraction
 
+    st.write("Footprints after fiber contributions:", water_footprint, energy_footprint, carbon_footprint)  # Debug
+
     # Transportation impacts
     transport_factor = {
         "Plane": 1.102,
         "Ship": 0.011,
         "Train": 0.05,
         "Truck": 0.25,
-    }[lifecycle_inputs["transport_mode"]]
-    
+    }.get(lifecycle_inputs["transport_mode"], 0)
     transport_emissions = transport_factor * lifecycle_inputs["transport_distance"] * weight
     carbon_footprint += transport_emissions
 
+    st.write("Carbon footprint after transport:", carbon_footprint)  # Debug
+
     # Washing and drying impacts
     washing_energy = {"Cold": 0.02, "30°C": 0.1, "40°C": 0.2, "60°C": 0.5}
     dryer_energy = 0.5 if lifecycle_inputs["use_dryer"] else 0
-    carbon_footprint += (washing_energy[lifecycle_inputs["washing_temperature"]] * lifecycle_inputs["washing_cycles"] * 0.05)
+    carbon_footprint += (
+        washing_energy[lifecycle_inputs["washing_temperature"]] * lifecycle_inputs["washing_cycles"] * 0.05
+    )
     energy_footprint += dryer_energy * lifecycle_inputs["washing_cycles"]
 
+    st.write("Final footprints:", water_footprint, energy_footprint, carbon_footprint)  # Debug
+
     return water_footprint, energy_footprint, carbon_footprint
 
 # User inputs as a dictionary
@@ -157,27 +167,30 @@ composition = {
 }
 
 # Run Calculations
-if fiber_impact_data and total_percentage == 100:
-    water_fp, energy_fp, carbon_fp = calculate_footprints(product_weight, composition, user_inputs)
+try:
+    if fiber_impact_data and total_percentage == 100:
+        water_fp, energy_fp, carbon_fp = calculate_footprints(product_weight, composition, user_inputs)
 
-    # Display results
-    st.subheader("Calculated Results")
-    st.markdown(f"""
+        # Display results
+        st.subheader("Calculated Results")
+        st.markdown(f"""
         - **Water Footprint**: {water_fp:.2f} liters  
         - **Energy Footprint**: {energy_fp:.2f} MJ  
         - **Carbon Footprint**: {carbon_fp:.2f} kgCO2e  
-    """)
-
-    # 3D Visualization
-    fig = go.Figure()
-    fig.add_trace(go.Bar(
-        x=["Water Footprint", "Energy Footprint", "Carbon Footprint"],
-        y=[water_fp, energy_fp, carbon_fp],
-        text=[f"{water_fp:.2f} L", f"{energy_fp:.2f} MJ", f"{carbon_fp:.2f} kgCO2e"],
-        textposition='auto',
-        marker=dict(color=["blue", "orange", "green"])
-    ))
-    fig.update_layout(title="Footprint Breakdown", xaxis_title="Footprint Type", yaxis_title="Value")
-    st.plotly_chart(fig)
-else:
-    st.error("Ensure dataset is loaded and composition sums to 100%.")
+        """)
+
+        # Visualization
+        fig = go.Figure()
+        fig.add_trace(go.Bar(
+            x=["Water Footprint", "Energy Footprint", "Carbon Footprint"],
+            y=[water_fp, energy_fp, carbon_fp],
+            text=[f"{water_fp:.2f} L", f"{energy_fp:.2f} MJ", f"{carbon_fp:.2f} kgCO2e"],
+            textposition="auto",
+            marker=dict(color=["blue", "orange", "green"])
+        ))
+        fig.update_layout(title="Footprint Breakdown", xaxis_title="Footprint Type", yaxis_title="Value")
+        st.plotly_chart(fig)
+    else:
+        st.error("Ensure dataset is loaded and the composition sums to 100%.")
+except Exception as e:
+    st.error(f"An error occurred during calculations: {e}")