counts_as_attempt implemented and we caught up guarded_ai to have

metadata

	modified:   app.py
	modified:   research/guarded_ai.py
This commit is contained in:
Russell Ballestrini 2024-08-08 08:59:20 -04:00
parent b0fa97ffc3
commit 3b542285f6
2 changed files with 110 additions and 84 deletions

99
app.py
View file

@ -444,7 +444,8 @@ def handle_message(data):
chat_gpt,
data["username"],
room.name,
model_name="gpt-4o",
# model_name="gpt-4o",
model_name="gpt-4o-2024-08-06",
)
if "gpt-mini" in data["message"]:
@ -1983,6 +1984,24 @@ def handle_activity_response(room_name, user_response, username):
step["tokens_for_ai"],
)
transition = step["transitions"].get(category, None)
if transition is None:
# Emit an error message and return early
socketio.emit(
"message",
{
"id": None,
"username": "System",
"content": f"Error: Unrecognized category '{category}'. Please try again.",
},
room=room_name,
)
return
next_section_and_step = transition.get("next_section_and_step", None)
counts_as_attempt = transition.get("counts_as_attempt", True)
# Emit the category to the frontend
socketio.emit(
"message",
@ -1995,12 +2014,10 @@ def handle_activity_response(room_name, user_response, username):
)
# Check metadata conditions for the current step
if "metadata_conditions" in step["transitions"][category]:
if "metadata_conditions" in transition:
conditions_met = all(
activity_state.dict_metadata.get(key) == value
for key, value in step["transitions"][category][
"metadata_conditions"
].items()
for key, value in transition["metadata_conditions"].items()
)
if not conditions_met:
# Emit a message indicating the conditions are not met
@ -2041,27 +2058,23 @@ def handle_activity_response(room_name, user_response, username):
new_metadata = {}
# Update metadata based on user actions
if "metadata_add" in step["transitions"][category]:
for key, value in step["transitions"][category][
"metadata_add"
].items():
if "metadata_add" in transition:
for key, value in transition["metadata_add"].items():
if value == "the-users-response":
value = user_response
new_metadata[key] = value
activity_state.add_metadata(key, value)
if "metadata_remove" in step["transitions"][category]:
for key in step["transitions"][category]["metadata_remove"]:
if "metadata_remove" in transition:
for key in transition["metadata_remove"]:
activity_state.remove_metadata(key)
# Handle metadata_random
if "metadata_random" in step["transitions"][category]:
if "metadata_random" in transition:
random_key = random.choice(
list(step["transitions"][category]["metadata_random"].keys())
list(transition["metadata_random"].keys())
)
random_value = step["transitions"][category]["metadata_random"][
random_key
]
random_value = transition["metadata_random"][random_key]
new_metadata[random_key] = random_value
activity_state.add_metadata(random_key, random_value)
@ -2070,12 +2083,11 @@ def handle_activity_response(room_name, user_response, username):
db.session.commit()
# Provide feedback based on the category
feedback, next_section_and_step = provide_feedback(
activity_content,
section["section_id"],
step["step_id"],
feedback = provide_feedback(
transition,
category,
step["question"],
step["tokens_for_ai"],
user_response,
username,
activity_state.json_metadata,
@ -2101,10 +2113,8 @@ def handle_activity_response(room_name, user_response, username):
)
# Emit the transition content blocks if they exist
if "content_blocks" in step["transitions"][category]:
transition_content = "\n\n".join(
step["transitions"][category]["content_blocks"]
)
if "content_blocks" in transition:
transition_content = "\n\n".join(transition["content_blocks"])
new_message = Message(
username="System", content=transition_content, room_id=room.id
)
@ -2166,9 +2176,10 @@ def handle_activity_response(room_name, user_response, username):
)
else:
# the user response is any bucket other than correct.
activity_state.attempts += 1
db.session.add(activity_state)
db.session.commit()
if counts_as_attempt:
activity_state.attempts += 1
db.session.add(activity_state)
db.session.commit()
# Emit the question again
question_content = f"Question: {step['question']}"
@ -2401,42 +2412,30 @@ def generate_ai_feedback(
def provide_feedback(
yaml_content,
section_id,
step_id,
transition,
category,
question,
user_response,
tokens_for_ai,
username,
json_metadata,
json_new_metadata,
):
section = next(
(s for s in yaml_content["sections"] if s["section_id"] == section_id), None
)
if not section:
return "Section not found.", None
step = next((s for s in section["steps"] if s["step_id"] == step_id), None)
if not step:
return "Step not found.", None
transition = step["transitions"].get(category, None)
if not transition:
return "Category not found.", None
feedback = ""
if "ai_feedback" in transition:
tokens_for_ai = (
step["tokens_for_ai"] + " " + transition["ai_feedback"]["tokens_for_ai"]
)
tokens_for_ai += " " + transition["ai_feedback"]["tokens_for_ai"]
ai_feedback = generate_ai_feedback(
category, question, user_response, tokens_for_ai, username, json_metadata, json_new_metadata,
category,
question,
user_response,
tokens_for_ai,
username,
json_metadata,
json_new_metadata,
)
feedback += f"\n\nAI Feedback: {ai_feedback}"
next_section_and_step = transition.get("next_section_and_step", None)
return feedback, next_section_and_step
return feedback
if __name__ == "__main__":