app.py
# Modify the generate_scoreboard function to include sorting options and count of incorrect answers
def generate_scoreboard(sort_by='date'):
try:
# Assuming you have access to the history of responses
history_data = state["responses"]
# Calculate the number of correct and incorrect answers
correct_count = sum(1 for entry in history_data if entry['feedback'].lower() == "correct")
incorrect_count = sum(1 for entry in history_data if entry['feedback'].lower() == "incorrect")
total_count = len(history_data)
# Calculate the percentage of correct answers
percentage_correct = (correct_count / total_count) * 100 if total_count > 0 else 0
# Sort the history data based on the selected criteria
if sort_by == 'correctness':
sorted_history = sorted(history_data, key=lambda x: x['feedback'], reverse=True)
elif sort_by == 'difficulty':
sorted_history = sorted(history_data, key=lambda x: len(x['question']), reverse=True) # Example: Sorting by question length
else:
sorted_history = history_data # Default: Sort by date
# Create a prompt for generating the scoreboard
prompt = f"Generate a scoreboard based on the following history:\n\nTotal Questions: {total_count}\nCorrect Answers: {correct_count}\nIncorrect Answers: {incorrect_count}\nPercentage Correct: {percentage_correct:.2f}%\n\n"
for entry in sorted_history:
prompt += f"Question: {entry['question']}\nAnswer: {entry['answer']}\nFeedback: {entry['feedback']}\n\n"
# Use the v1/chat/completions endpoint for chat models
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo", # Adjust the model as needed
messages=[{"role": "user", "content": prompt}],
max_tokens=200
)
# Extract and return the generated scoreboard
scoreboard = response.choices[0].message['content']
return scoreboard
except Exception as e:
return f"Error generating scoreboard: {str(e)}"
# Route to display the scoreboard with sorting options
@app.route('/scoreboard')
def scoreboard():
try:
# Get the sorting parameter from the request
sort_by = request.args.get('sort_by', 'date')
# Generate the scoreboard with the specified sorting option
scoreboard_data = generate_scoreboard(sort_by)
# Render the scoreboard template with the generated scoreboard data and sorting options
return render_template('scoreboard.html', scoreboard=scoreboard_data, sort_by=sort_by)
except Exception as e:
return f"Error displaying scoreboard: {str(e)}"
scoreboard.html
Scoreboard
