Update all imports from src.etl to src.preprocess

config_page.py

@@ -695,7 +695,7 @@ def save_configuration():
     # Get available demand dates from data to determine the actual date range
     try:
         sys.path.append('src')
-        import src.etl.extract as extract
+        import src.preprocess.extract as extract
         import pandas as pd
         from datetime import datetime
         
@@ -950,7 +950,7 @@ def display_user_friendly_summary(config):
     st.subheader("📊 Demand Data Preview")
     try:
         sys.path.append('src')
-        import src.etl.extract as extract
+        import src.preprocess.extract as extract
         from datetime import datetime
         
         # Get demand data for the configured start date
@@ -1038,8 +1038,8 @@ def clear_all_cache_and_results():
     
     # 2. Force reload all related modules to clear any module-level caches
     modules_to_reload = [
-        'src.etl.extract',
-        'src.etl.transform',
+        'src.preprocess.extract',
+        'src.preprocess.transform',
         'src.config.optimization_config',
         'src.models.optimizer_real'
     ]
@@ -1064,7 +1064,7 @@ def clear_all_cache_and_results():
         planning_days = 5
     
     sys.path.append('src')
-    import src.etl.extract as extract
+    import src.preprocess.extract as extract
     extract.set_global_dates(st.session_state.start_date, calculated_end_date)
     st.write(f"📅 Updated global dates: {st.session_state.start_date} to {calculated_end_date} ({planning_days} days)")
     

src/config/optimization_config.py

@@ -1,8 +1,8 @@
 import pandas as pd
-import src.etl.transform as transformed_data
+import src.preprocess.transform as transformed_data
 import datetime
 from datetime import timedelta
-import src.etl.extract as extract
+import src.preprocess.extract as extract
 from src.config.constants import ShiftType, LineType, KitLevel, DefaultConfig
 
 # Re-import all the packages

src/demand_filtering.py

@@ -11,7 +11,7 @@ The filtered data is used by the optimization system.
 
 import pandas as pd
 from typing import Dict, List, Tuple
-from src.etl import extract
+from src.preprocess import extract
 
 
 class DemandFilter:

src/preprocess/transform.py

@@ -1,5 +1,5 @@
 import pandas as pd
-import src.etl.extract as ex
+import src.preprocess.extract as ex
 
 
 def get_product_list():