Update script_for_automation.py

script_for_automation.py

@@ -341,7 +341,8 @@ def generate_markdown_output(df):
 
     # Iterate over rows to create the first table (recipe_id to prompting_strategy)
     for _, row in df.iterrows():
-        markdown += 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"
+        # Ensure all fields have a consistent length (pad with empty string if None)
+        markdown += f"| {str(row['Recipe_ID']).ljust(10)} | {str(row['Testing_Strategy_Text']).ljust(20)} | {str(row['Schema_Processing_Model']).ljust(25)} | {str(row['Pre_Processing_Strategy']).ljust(23)} | {str(row['Pre_Processing_Text']).ljust(20)} | {str(row['Pre_Processing_Model']).ljust(20)} | {str(row['Prompting_Strategy']).ljust(25)} |\n"
 
     # Separate section for Prompts
     markdown += "\n### Prompts\n"
@@ -350,7 +351,8 @@ def generate_markdown_output(df):
 
     # Iterate over rows to create the second table (plantings_and_fields_prompt, interactions_prompt, treatments_prompt)
     for _, row in df.iterrows():
-        markdown += f"| {row['Plantings_and_Fields_Prompt']} | {row['Interactions_Prompt']} | {row['Treatments_Prompt']} |\n"
+        # Ensure all fields are of consistent length
+        markdown += f"| {str(row['Plantings_and_Fields_Prompt']).ljust(30)} | {str(row['Interactions_Prompt']).ljust(20)} | {str(row['Treatments_Prompt']).ljust(20)} |\n"
 
     # Separate section for Input Transcript
     markdown += "\n### Input Transcript\n"
@@ -368,7 +370,7 @@ def generate_markdown_output(df):
 
     # Iterate over rows to create the comparison table
     for _, row in df.iterrows():
-        markdown += f"| {row['Recipe_ID']} | {row['Gold_Standard_Key_Values']} | {row['Machine_Generated_Key_Values']} |\n"
+        markdown += f"| {str(row['Recipe_ID']).ljust(10)} | {str(row['Gold_Standard_Key_Values']).ljust(25)} | {str(row['Machine_Generated_Key_Values']).ljust(25)} |\n"
 
     # Display differences in a readable format
     markdown += "\n### Differences\n"
@@ -386,7 +388,7 @@ def generate_markdown_output(df):
                     for path, change in diff['values_changed'].items():
                         # Ensure we have both 'old_value' and 'new_value'
                         if 'old_value' in change and 'new_value' in change:
-                            markdown += f"| {path} | {change['old_value']} -> {change['new_value']} |\n"
+                            markdown += f"| {str(path).ljust(20)} | {str(change['old_value']).ljust(20)} -> {str(change['new_value']).ljust(20)} |\n"
                         else:
                             print(f"Skipping change at {path} due to missing old or new value")
                 else:
@@ -401,7 +403,7 @@ def generate_markdown_output(df):
 
     # Add the side-by-side YAML comparison
     for _, row in df.iterrows():
-        markdown += f"| ```yaml\n{row['Gold_Standard_YAML']}\n``` | ```yaml\n{row['Machine_Generated_YAML']}\n``` |\n"
+        markdown += f"| ```yaml\n{str(row['Gold_Standard_YAML']).ljust(50)}\n``` | ```yaml\n{str(row['Machine_Generated_YAML']).ljust(50)}\n``` |\n"
 
     return markdown