Make each AI task seperate for faster testing

WebServer/AIPython/datapuller.py

@@ -1,7 +1,6 @@
 import os
 import yfinance as yf
 import pandas as pd
-import features
 
 def pull():
     # Get the CWD for pathing due to being called from C# now
@@ -19,8 +18,8 @@ def pull():
         print(f"Processing: {i} of {len(tickers)}")
         df = yf.download(symbol, period="max", auto_adjust=True)
         if not df.empty:
-            # Use external featuers to make sure loaded is the same
-            df = features.MakeFeatures(df, i)
+            # Remove the ticker column
+            df.columns = df.columns.get_level_values(0)
             # add to master list
             all_data.append(df)
 
@@ -28,9 +27,6 @@ def pull():
     print("Processing data")
     final_df = pd.concat(all_data)
 
-    # Cleanup the data
-    final_df = features.CleanDF(final_df)
-
     # Save to file
     print("Writing data to file")
     final_df.to_parquet(os.path.join(DATA_DIR, "stocks.parquet"))