Update src/ProcessOneSingleCampaign.py

src/ProcessOneSingleCampaign.py

@@ -553,21 +553,19 @@ class CampaignProcessor:
             float: The transformed previous funding goal
         """
         try:
-            # Check if value is already provided in the expected field
-            if 'previous_funding_goal' in campaign:
-                previous_goal = float(campaign.get('previous_funding_goal', 0))
-                print(f"Using provided previous_funding_goal directly: {previous_goal}")
-            else:
-                print(f"No previous_funding_goal in input data, looking for alternative field names")
-                previous_goal = 0.0
+            # Get the raw value
+            previous_goal = float(campaign.get('previous_funding_goal', 0))
+            
+            # Log the source value
+            print(f"Previous funding goal raw value: {previous_goal}")
             
-            # Apply logarithmic transformation
+            # Apply logarithmic transformation if value is positive
             if previous_goal > 0:
-                # Log1p transformation, good for general compression while preserving relative differences
                 transformed_goal = np.log1p(previous_goal)/np.log(10)
                 print(f"Applied log transformation to previous_funding_goal: {previous_goal} → {transformed_goal}")
                 return transformed_goal
             else:
+                print(f"No transformation applied to previous_funding_goal: value is {previous_goal}")
                 return 0.0
             
         except Exception as e:
@@ -589,21 +587,19 @@ class CampaignProcessor:
             float: The transformed previous pledged amount
         """
         try:
-            # Check if value is already provided in the expected field
-            if 'previous_pledged' in campaign:
-                pledged = float(campaign.get('previous_pledged', 0))
-                print(f"Using provided previous_pledged directly: {pledged}")
-            else:
-                print(f"No previous_pledged in input data, looking for alternative field names")
-                pledged = 0.0
+            # Get the raw value
+            pledged = float(campaign.get('previous_pledged', 0))
+            
+            # Log the source value
+            print(f"Previous pledged raw value: {pledged}")
             
-            # Apply logarithmic transformation
+            # Apply logarithmic transformation if value is positive
             if pledged > 0:
-                # Log1p transformation, good for general compression while preserving relative differences
                 transformed_pledge = np.log1p(pledged)/np.log(10)
                 print(f"Applied log transformation to previous_pledged: {pledged} → {transformed_pledge}")
                 return transformed_pledge
             else:
+                print(f"No transformation applied to previous_pledged: value is {pledged}")
                 return 0.0
             
         except Exception as e: