Update app.py

app.py

@@ -422,14 +422,13 @@ with tab5:
 
         return adjusted_sources, source_volumes
 
-    # Utility: Generate fixed-volume D source for all wells
-    def generate_fixed_d_source_instructions_for_all_wells(fixed_volume=16, volume_limit=170):
+    # Utility: Generate fixed-volume D source for only used wells
+    def generate_fixed_d_source_instructions_for_used_wells(destinations, fixed_volume=16, volume_limit=170):
         d_source_volumes = {}
         d_source_script = []
         current_d_index = 1
 
-        all_destinations = [f"{row}{col}" for row in "ABCDEFGH" for col in range(1, 13)]
-        for dest in all_destinations:
+        for dest in destinations:
             current_d_well = f"D{current_d_index}"
 
             if current_d_well not in d_source_volumes:
@@ -513,12 +512,14 @@ with tab5:
 
         robot_script_32 = []
         source_wells_32 = generate_source_wells(df_32.shape[1])
+        used_destinations = set()
 
         for i, col in enumerate(df_32.columns):
             for row_idx, sample in df_32_robot.iterrows():
                 if int(sample[col]) == 1:
                     source = source_wells_32[i]
                     dest = get_well_position(int(sample['Sample']))
+                    used_destinations.add(dest)
                     vol = round(sample['volume donors (µl)'], 2)
                     tool = 'TS_10' if vol < 10 else 'TS_50'
                     robot_script_32.append({
@@ -530,7 +531,7 @@ with tab5:
 
         robot_script_32, source_volumes_32 = track_and_replace_source(source_wells_32, robot_script_32)
 
-        d_script, d_volumes = generate_fixed_d_source_instructions_for_all_wells()
+        d_script, d_volumes = generate_fixed_d_source_instructions_for_used_wells(sorted(used_destinations))
         full_robot_script = robot_script_32 + d_script
 
         robot_script_32_df = pd.DataFrame(full_robot_script)