import os import gradio as gr from anthropic import Anthropic from datetime import datetime, timedelta from collections import deque import random import logging import tempfile from pathlib import Path # Set up logging logging.basicConfig( level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s' ) logger = logging.getLogger(__name__) # Initialize Anthropic client anthropic = Anthropic( api_key=os.environ.get('ANTHROPIC_API_KEY') ) # Request tracking MAX_REQUESTS_PER_DAY = 25 request_history = deque(maxlen=1000) def get_difficulty_parameters(difficulty_level): """Return specific parameters and constraints based on difficulty level""" parameters = { 1: { # Very Easy "description": "very easy, suitable for beginners", "constraints": [ "Use only basic concepts and straightforward calculations", "Break complex problems into smaller, guided steps", "Provide hints within the question when needed", "Use simple numbers and avoid complex algebraic expressions" ], "example_style": "Similar to standard homework problems", "model": "claude-3-sonnet-20240229" }, 2: { # Easy "description": "easy, but requiring some thought", "constraints": [ "Use basic concepts with minor complications", "Include two-step problems", "Minimal guidance provided", "Use moderately complex numbers or expressions" ], "example_style": "Similar to quiz questions", "model": "claude-3-sonnet-20240229" }, 3: { # Intermediate "description": "intermediate difficulty, testing deeper understanding", "constraints": [ "Combine 2-3 related concepts", "Include some non-obvious solution paths", "Require multi-step reasoning", "Use moderate algebraic complexity" ], "example_style": "Similar to midterm exam questions", "model": "claude-3-sonnet-20240229" }, 4: { # Difficult "description": "challenging, requiring strong mathematical maturity", "constraints": [ "Combine multiple concepts creatively", "Require insight and deep understanding", "Include non-standard approaches", "Use sophisticated mathematical reasoning" ], "example_style": "Similar to final exam questions", "model": "claude-3-opus-20240229" }, 5: { # Very Difficult "description": "very challenging, testing mastery and creativity at a graduate level", "constraints": [ "Create novel applications of theoretical concepts", "Require graduate-level mathematical reasoning", "Combine multiple advanced topics in unexpected ways", "Demand creative problem-solving approaches", "Include rigorous proof construction", "Require synthesis across mathematical domains", "Test deep theoretical understanding" ], "example_style": "Similar to graduate qualifying exams or advanced competition problems", "model": "claude-3-opus-20240229" } } return parameters.get(difficulty_level) def create_latex_document(content, questions_only=False): """Create a complete LaTeX document""" try: latex_header = r"""\documentclass{article} \usepackage{amsmath,amssymb} \usepackage[margin=1in]{geometry} \begin{document} \title{Mathematics Question} \maketitle """ latex_footer = r"\end{document}" if questions_only: # Modified to handle single question processed_content = content.split('Solution:')[0] content = processed_content full_document = f"{latex_header}\n{content}\n{latex_footer}" logger.debug(f"Created {'questions-only' if questions_only else 'full'} LaTeX document") return full_document except Exception as e: logger.error(f"Error creating LaTeX document: {str(e)}") raise def save_to_temp_file(content, filename): """Save content to a temporary file and return the path""" try: temp_dir = Path(tempfile.gettempdir()) / "math_test_files" temp_dir.mkdir(exist_ok=True) file_path = temp_dir / filename file_path.write_text(content, encoding='utf-8') logger.debug(f"Saved content to temporary file: {file_path}") return str(file_path) except Exception as e: logger.error(f"Error saving temporary file: {str(e)}") raise def generate_question(subject, difficulty, question_type): """Generate a single math question""" try: if not os.environ.get('ANTHROPIC_API_KEY'): logger.error("Anthropic API key not found") return "Error: Anthropic API key not configured", None, None logger.debug(f"Generating {question_type} question for subject: {subject} at difficulty level: {difficulty}") # Check rate limit now = datetime.now() while request_history and (now - request_history[0]) > timedelta(days=1): request_history.popleft() if len(request_history) >= MAX_REQUESTS_PER_DAY: return "Daily request limit reached. Please try again tomorrow.", None, None request_history.append(now) topics = { "Single Variable Calculus": ["limits", "derivatives", "integrals", "series", "applications"], "Multivariable Calculus": ["partial derivatives", "multiple integrals", "vector fields", "optimization"], "Linear Algebra": ["matrices", "vector spaces", "eigenvalues", "linear transformations"], "Differential Equations": ["first order equations", "second order equations", "systems", "stability analysis"], "Real Analysis": ["sequences", "series", "continuity", "differentiation", "integration"], "Complex Analysis": ["complex functions", "analyticity", "contour integration", "residues"], "Abstract Algebra": ["groups", "rings", "fields", "homomorphisms"], "Probability Theory": ["probability spaces", "random variables", "distributions", "limit theorems"], "Numerical Analysis": ["approximation", "interpolation", "numerical integration", "error analysis"], "Topology": ["metric spaces", "continuity", "compactness", "connectedness"] } selected_topic = random.choice(topics.get(subject, ["general"])) logger.debug(f"Selected topic: {selected_topic}") difficulty_params = get_difficulty_parameters(difficulty) if question_type == "application": application_addition = """ The application question MUST: - Present a real-world scenario or practical problem - Require modeling the situation mathematically - Connect abstract mathematical concepts to concrete situations - Include realistic context and data - Require students to: 1. Identify relevant mathematical concepts 2. Translate the practical problem into mathematical terms 3. Solve using appropriate mathematical techniques 4. Interpret the results in the context of the original problem Example contexts might include: - Physics applications (motion, forces, work) - Engineering scenarios (optimization, rates of change) - Economics problems (cost optimization, growth models) - Biological systems (population growth, reaction rates) - Business applications (profit maximization, inventory management) - Social science applications (demographic models, social network analysis) - Data science applications (regression, statistical analysis) """ if difficulty == 5: system_prompt = f"""You are an expert mathematics professor creating a graduate-level exam question. STRICT REQUIREMENTS: 1. Write exactly 1 graduate-level application question on {subject} covering {selected_topic}. 2. Advanced Difficulty Requirements: This question must be suitable for PhD qualifying exams or advanced competitions. MUST include: - Novel applications of theoretical concepts to complex real-world scenarios - Graduate-level mathematical reasoning in practical contexts - Sophisticated modeling of real situations - Creative problem-solving approaches - Multiple stages of mathematical modeling and analysis Follow these specific constraints: {chr(10).join(f' - {c}' for c in difficulty_params['constraints'])} {application_addition} 3. Style Reference: Question should be {difficulty_params['example_style']} 4. The question MUST: - Bridge multiple mathematical domains - Require deep theoretical understanding - Test mastery of advanced concepts - Demand innovative solution approaches 5. For LaTeX formatting: - Use $ for inline math - Use $$ on separate lines for equations and solutions - Put each solution step on its own line in $$ $$ - DO NOT use \\begin{{aligned}} or similar environments 6. Include a detailed solution with thorough explanations of: - How to model the situation - Why specific mathematical techniques were chosen - How to interpret the results 7. Maintain clear, precise formatting""" else: system_prompt = f"""You are an expert mathematics professor creating a {difficulty_params['description']} exam question. STRICT REQUIREMENTS: 1. Write exactly 1 application question on {subject} covering {selected_topic}. 2. Difficulty Level Guidelines: {difficulty_params['description'].upper()} Follow these specific constraints: {chr(10).join(f' - {c}' for c in difficulty_params['constraints'])} {application_addition} 3. Style Reference: Question should be {difficulty_params['example_style']} 4. For LaTeX formatting: - Use $ for inline math - Use $$ on separate lines for equations and solutions - Put each solution step on its own line in $$ $$ - DO NOT use \\begin{{aligned}} or similar environments 5. Include a detailed solution that explains: - How to model the situation - Why specific mathematical techniques were chosen - How to interpret the results 6. Maintain clear formatting""" else: # Standard prompts for computation and proof questions if difficulty == 5: system_prompt = f"""You are an expert mathematics professor creating a graduate-level exam question. STRICT REQUIREMENTS: 1. Write exactly 1 graduate-level {question_type} question on {subject} covering {selected_topic}. 2. Advanced Difficulty Requirements: This question must be suitable for PhD qualifying exams or advanced competitions. MUST include: - Novel applications of theoretical concepts - Graduate-level mathematical reasoning - Unexpected connections between different areas of {subject} - Creative problem-solving approaches - Rigorous proof requirements where applicable Follow these specific constraints: {chr(10).join(f' - {c}' for c in difficulty_params['constraints'])} 3. Style Reference: Question should be {difficulty_params['example_style']} 4. The question MUST: - Bridge multiple mathematical domains - Require deep theoretical understanding - Test mastery of advanced concepts - Demand innovative solution approaches 5. For LaTeX formatting: - Use $ for inline math - Use $$ on separate lines for equations and solutions - Put each solution step on its own line in $$ $$ - DO NOT use \\begin{{aligned}} or similar environments 6. Include a detailed solution with thorough explanations of advanced concepts used 7. Maintain clear, precise formatting""" else: system_prompt = f"""You are an expert mathematics professor creating a {difficulty_params['description']} exam question. STRICT REQUIREMENTS: 1. Write exactly 1 {question_type} question on {subject} covering {selected_topic}. 2. Difficulty Level Guidelines: {difficulty_params['description'].upper()} Follow these specific constraints: {chr(10).join(f' - {c}' for c in difficulty_params['constraints'])} 3. Style Reference: Question should be {difficulty_params['example_style']} 4. For LaTeX formatting: - Use $ for inline math - Use $$ on separate lines for equations and solutions - Put each solution step on its own line in $$ $$ - DO NOT use \\begin{{aligned}} or similar environments 5. Include a detailed solution 6. Maintain clear formatting""" logger.debug("Sending request to Anthropic API") message = anthropic.messages.create( model=difficulty_params['model'], max_tokens=4096, temperature=0.7, messages=[{ "role": "user", "content": f"{system_prompt}\n\nWrite a question for {subject}." }] ) if not hasattr(message, 'content') or not message.content: logger.error("No content received from Anthropic API") return "Error: No content received from API", None, None response_text = message.content[0].text logger.debug("Successfully received response from Anthropic API") # Create LaTeX content questions_latex = create_latex_document(response_text, questions_only=True) full_latex = create_latex_document(response_text, questions_only=False) # Save to temporary files questions_path = save_to_temp_file(questions_latex, "question.tex") full_path = save_to_temp_file(full_latex, "full_question.tex") logger.debug("Successfully created temporary files") return response_text, questions_path, full_path except Exception as e: logger.error(f"Error generating question: {str(e)}") return f"Error: {str(e)}", None, None # Create Gradio interface with gr.Blocks() as interface: gr.Markdown("# Advanced Mathematics Question Generator") gr.Markdown("""Generates a unique university-level mathematics question with solution using Claude 3. Each question features different topics and difficulty levels. Limited to 25 requests per day.""") with gr.Row(): with gr.Column(): subject_dropdown = gr.Dropdown( choices=[ "Single Variable Calculus", "Multivariable Calculus", "Linear Algebra", "Differential Equations", "Real Analysis", "Complex Analysis", "Abstract Algebra", "Probability Theory", "Numerical Analysis", "Topology" ], label="Select Mathematics Subject", info="Choose a subject for the question" ) difficulty_slider = gr.Slider( minimum=1, maximum=5, step=1, value=3, label="Difficulty Level", info="1: Very Easy, 2: Easy, 3: Moderate, 4: Difficult, 5: Very Difficult" ) question_type = gr.Radio( choices=["computation", "proof", "application"], label="Question Type", info="Select the type of question you want", value="computation" ) generate_btn = gr.Button("Generate Question") output_text = gr.Markdown( label="Generated Question Preview", latex_delimiters=[ {"left": "$$", "right": "$$", "display": True}, {"left": "$", "right": "$", "display": False} ] ) with gr.Row(): questions_file = gr.File(label="Question Only (LaTeX)") full_file = gr.File(label="Question with Solution (LaTeX)") generate_btn.click( generate_question, inputs=[ subject_dropdown, difficulty_slider, question_type ], outputs=[output_text, questions_file, full_file] ) if __name__ == "__main__": logger.info("Starting application") interface.launch()