Update app.py

app.py

@@ -57,14 +57,17 @@ def analyze_sterilization(data):
         is_nutabreizh = 'NutaBreizh' in product
         required_temp = 108 if is_nutabreizh else 103
         
-        # Count minutes at required temperature
-        minutes_at_temp = len(group[group['Temp. à coeur'] >= required_temp])
+        # Filter rows where core temperature is above or equal to the required temperature
+        above_required_temp = group[group['Temp. à coeur'] >= required_temp]
+        
+        # Calculate the duration (in minutes) at the required temperature
+        minutes_at_temp = len(above_required_temp)
         
         # Calculate max temperatures
         max_temp_sterilisateur = group['Temp. du stérilisateur'].max()
         max_temp_coeur = group['Temp. à coeur'].max()
         
-        # Determine if criteria met
+        # Determine if criteria met (at least 30 minutes at required temperature)
         criteria_met = minutes_at_temp >= 30
         
         results.append({
@@ -97,6 +100,16 @@ def main():
         st.subheader("Résultats de l'analyse")
         st.dataframe(results_df)
         
+        # Check if all criteria are met
+        if not results_df['Criteres_Respectes'].all():
+            st.warning("Attention : Certains produits n'ont pas respecté les critères de stérilisation.")
+        
+        # Display failed products
+        failed_products = results_df[results_df['Criteres_Respectes'] == False]
+        if not failed_products.empty:
+            st.subheader("Produits n'ayant pas respecté les critères")
+            st.dataframe(failed_products)
+        
         # Create visualization
         if not results_df.empty:
             fig = px.scatter(results_df,