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supply username to feedback routine so llm knows that context

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remove dupe content and unessasary ai_feedback from different paths.

	modified:   app.py
	modified:   research/activity15-choose-adventure.yaml
This commit is contained in:
Russell Ballestrini 2024-08-03 14:55:43 -04:00
parent 018671a8c1
commit 847f609b4a
2 changed files with 30 additions and 63 deletions
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38
app.py
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@ -2018,24 +2018,26 @@ def handle_activity_response(room_name, user_response, username):
category,
step["question"],
user_response,
username,
)
# Store and emit the feedback
new_message = Message(
username="System", content=feedback, room_id=room.id
)
db.session.add(new_message)
db.session.commit()
if feedback:
new_message = Message(
username="System", content=feedback, room_id=room.id
)
db.session.add(new_message)
db.session.commit()
socketio.emit(
"message",
{
"id": new_message.id,
"username": "System",
"content": feedback,
},
room=room_name,
)
socketio.emit(
"message",
{
"id": new_message.id,
"username": "System",
"content": feedback,
},
room=room_name,
)
# Emit the transition content blocks if they exist
if "content_blocks" in step["transitions"][category]:
@ -2325,7 +2327,7 @@ def categorize_response(question, response, buckets, tokens_for_ai):
# Generate AI feedback
def generate_ai_feedback(category, question, user_response, tokens_for_ai):
def generate_ai_feedback(category, question, user_response, tokens_for_ai, username):
openai_client, model_name = get_openai_client_and_model()
messages = [
{
@ -2334,7 +2336,7 @@ def generate_ai_feedback(category, question, user_response, tokens_for_ai):
},
{
"role": "user",
"content": f"Question: {question}\nResponse: {user_response}\nCategory: {category}",
"content": f"Username: {username}\nQuestion: {question}\nResponse: {user_response}\nCategory: {category}",
},
]
@ -2349,7 +2351,7 @@ def generate_ai_feedback(category, question, user_response, tokens_for_ai):
def provide_feedback(
yaml_content, section_id, step_id, category, question, user_response
yaml_content, section_id, step_id, category, question, user_response, username
):
section = next(
(s for s in yaml_content["sections"] if s["section_id"] == section_id), None
@ -2371,7 +2373,7 @@ def provide_feedback(
step["tokens_for_ai"] + " " + transition["ai_feedback"]["tokens_for_ai"]
)
ai_feedback = generate_ai_feedback(
category, question, user_response, tokens_for_ai
category, question, user_response, tokens_for_ai, username
)
feedback += f"\n\nAI Feedback: {ai_feedback}"