n+1 in yaml to accumulate integers.

modified:   ../app.py
	new file:   activity20-n-plus-1.yaml
	modified:   guarded_ai.py

research/guarded_ai.py

@@ -6,11 +6,13 @@ from openai import OpenAI
 
 client = OpenAI()
 
+
 # Load the YAML activity file
 def load_yaml_activity(file_path):
     with open(file_path, "r") as file:
         return yaml.safe_load(file)
 
+
 # Categorize the user's response using gpt-4o-mini
 def categorize_response(question, response, buckets, tokens_for_ai):
     bucket_list = ", ".join(buckets)
@@ -39,6 +41,7 @@ def categorize_response(question, response, buckets, tokens_for_ai):
     except Exception as e:
         return f"Error: {e}"
 
+
 # Generate AI feedback using gpt-4o-mini
 def generate_ai_feedback(category, question, user_response, tokens_for_ai):
     messages = [
@@ -61,8 +64,11 @@ def generate_ai_feedback(category, question, user_response, tokens_for_ai):
     except Exception as e:
         return f"Error: {e}"
 
+
 # Provide feedback based on the category
-def provide_feedback(transition, category, question, user_response, user_language, tokens_for_ai):
+def provide_feedback(
+    transition, category, question, user_response, user_language, tokens_for_ai
+):
     feedback = ""
     if "ai_feedback" in transition:
         tokens_for_ai += f" Provide the feedback in {user_language}. {transition['ai_feedback'].get('tokens_for_ai', '')}."
@@ -73,6 +79,7 @@ def provide_feedback(transition, category, question, user_response, user_languag
 
     return feedback
 
+
 def get_next_section_and_step(activity_content, current_section_id, current_step_id):
     for section in activity_content["sections"]:
         if section["section_id"] == current_section_id:
@@ -95,6 +102,7 @@ def get_next_section_and_step(activity_content, current_section_id, current_step
                             )
     return None, None
 
+
 def translate_text(text, target_language):
     # Guard clause for default language
     if target_language.lower() == "english":
@@ -120,6 +128,7 @@ def translate_text(text, target_language):
     except Exception as e:
         return f"Error: {e}"
 
+
 def simulate_activity(yaml_file_path):
     yaml_content = load_yaml_activity(yaml_file_path)
     max_attempts = yaml_content.get("default_max_attempts_per_step", 3)
@@ -200,7 +209,12 @@ def simulate_activity(yaml_file_path):
                 print(translated_transition_content)
 
             feedback = provide_feedback(
-                transition, category, question, user_response, user_language, step["tokens_for_ai"]
+                transition,
+                category,
+                question,
+                user_response,
+                user_language,
+                step["tokens_for_ai"],
             )
             print(f"\nFeedback: {feedback}")
 
@@ -212,6 +226,8 @@ def simulate_activity(yaml_file_path):
                 for key, value in transition["metadata_add"].items():
                     if value == "the-users-response":
                         value = user_response
+                    elif value == "n+1":
+                        value = metadata.get(key, 0) + 1
                     metadata[key] = value
 
             if "metadata_tmp_add" in transition:
@@ -228,9 +244,7 @@ def simulate_activity(yaml_file_path):
 
             # Handle metadata_random
             if "metadata_random" in transition:
-                random_key = random.choice(
-                    list(transition["metadata_random"].keys())
-                )
+                random_key = random.choice(list(transition["metadata_random"].keys()))
                 random_value = transition["metadata_random"][random_key]
                 metadata[random_key] = random_value
 
@@ -273,6 +287,7 @@ def simulate_activity(yaml_file_path):
                 yaml_content, current_section_id, current_step_id
             )
 
+
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="Simulate an activity.")
     parser.add_argument(