Update script_for_automation.py

script_for_automation.py

@@ -373,13 +373,32 @@ def generate_markdown_output(df):
         recipe_table += f"| {row['Recipe_ID']} | {row['Testing_Strategy_Text']} | {row['Schema_Processing_Model']} | {row['Pre_Processing_Strategy']} | {row['Pre_Processing_Text']} | {row['Pre_Processing_Model']} | {row['Prompting_Strategy']} |\n"
     markdown += recipe_table + "\n"
 
-    # 3. Differences
+     # 3. Differences
     markdown += "\n## Differences\n"
     for _, row in df.iterrows():
         markdown += f"\n### Recipe ID: {row['Recipe_ID']}\n"
         differences = row['Differences']
+        
+        # Loop through all differences and display them
         for key, diff in differences.items():
-            markdown += f"#### {key.capitalize()}\n```\n{json.dumps(diff, indent=2)}\n```\n"
+            markdown += f"#### {key.capitalize()}\n"
+            
+            # If diff is a string, check if it's a JSON-like string
+            if isinstance(diff, str):
+                try:
+                    # Check if it's a valid JSON string by trying to load it
+                    parsed_json = json.loads(diff)
+                    # If successful, pretty print it as JSON
+                    markdown += f"```\n{json.dumps(parsed_json, indent=2)}\n```\n"
+                except json.JSONDecodeError:
+                    # If it's not valid JSON, just output the string as it is
+                    markdown += f"{diff}\n"
+            elif isinstance(diff, (dict, list)):
+                # If diff is already a dict or list, just pretty-print it
+                markdown += f"```\n{json.dumps(diff, indent=2)}\n```\n"
+            else:
+                # For other types, convert them into string format
+                markdown += f"{custom_serializer(diff)}\n"
 
     # 4. Prompts
     markdown += "\n## Prompts\n"