import gradio as gr
import os
import re
import markdown
from openai import OpenAI
import time

# Function to generate math solution using the Phi-4-reasoning-plus model
def generate_math_solution(api_key, problem_text, history=None):
    if not api_key.strip():
        return "Please enter your OpenRouter API key.", history
    
    if not problem_text.strip():
        return "Please enter a math problem.", history
    
    try:
        client = OpenAI(
            base_url="https://openrouter.ai/api/v1",
            api_key=api_key,
        )
        
        messages = [
            {"role": "system", "content": 
             """You are an expert math tutor who explains concepts clearly and thoroughly.
             Analyze the given math problem and provide a detailed step-by-step solution.
             For each step:
             1. Show the mathematical operation
             2. Explain why this step is necessary
             3. Connect it to relevant mathematical concepts
             
             Format your response with clear section headers using markdown.
             Begin with an "Initial Analysis" section, follow with numbered steps,
             and conclude with a "Final Answer" section."""},
        ]
        
        # Add conversation history if it exists
        if history:
            for exchange in history:
                messages.append({"role": "user", "content": exchange[0]})
                if exchange[1]:  # Check if there's a response
                    messages.append({"role": "assistant", "content": exchange[1]})
        
        # Add the current problem
        messages.append({"role": "user", "content": f"Solve this math problem step-by-step: {problem_text}"})
        
        # Create the completion
        completion = client.chat.completions.create(
            model="microsoft/phi-4-reasoning-plus:free",
            messages=messages,
            extra_headers={
                "HTTP-Referer": "https://advancedmathtutor.edu",
                "X-Title": "Advanced Math Tutor",
            }
        )
        
        solution = completion.choices[0].message.content
        
        # Update history
        if history is None:
            history = []
        history.append((problem_text, solution))
        
        return solution, history
        
    except Exception as e:
        error_message = f"Error: {str(e)}"
        return error_message, history

# Function to generate practice problems
def generate_practice_problem(api_key, topic, difficulty, history=None):
    if not api_key.strip():
        return "Please enter your OpenRouter API key.", history
    
    if not topic.strip():
        return "Please specify a math topic.", history
    
    try:
        client = OpenAI(
            base_url="https://openrouter.ai/api/v1",
            api_key=api_key,
        )
        
        prompt = f"""Generate a {difficulty} level math problem related to {topic}.
        The problem should be challenging but solvable, and relevant to a student studying {topic}.
        Only provide the problem statement, not the solution."""
        
        completion = client.chat.completions.create(
            model="microsoft/phi-4-reasoning-plus:free",
            messages=[
                {"role": "system", "content": "You are an expert math teacher who creates engaging practice problems."},
                {"role": "user", "content": prompt}
            ],
            extra_headers={
                "HTTP-Referer": "https://advancedmathtutor.edu",
                "X-Title": "Advanced Math Tutor",
            }
        )
        
        practice_problem = completion.choices[0].message.content
        
        return practice_problem, history
        
    except Exception as e:
        error_message = f"Error: {str(e)}"
        return error_message, history

# Function to verify API key format
def validate_api_key(api_key):
    # This is a simple check - OpenRouter keys typically start with "sk-or-"
    if api_key.startswith("sk-or-") and len(api_key) > 20:
        return True
    return False

# Function to process LaTeX in the solution
def process_solution(solution):
    # Replace $...$ with $$...$$ for better rendering in Gradio markdown
    solution = re.sub(r'(?<!\$)\$(?!\$)(.+?)(?<!\$)\$(?!\$)', r'$$\1$$', solution)
    return solution

# Define the Gradio interface
def create_demo():
    with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo:
        gr.Markdown("# 📚 Advanced Math Tutor")
        gr.Markdown("""
        This application uses Microsoft's Phi-4-reasoning-plus model to provide step-by-step solutions 
        to math problems. Enter your math problem, and get a detailed explanation with clear reasoning steps.
        """)
        
        # Main tabs
        with gr.Tabs():
            with gr.TabItem("Problem Solver"):
                with gr.Row():
                    with gr.Column(scale=1):
                        api_key_input = gr.Textbox(
                            label="OpenRouter API Key", 
                            placeholder="Enter your OpenRouter API key (starts with sk-or-)",
                            type="password"
                        )
                        problem_input = gr.Textbox(
                            label="Math Problem", 
                            placeholder="Enter your math problem here...",
                            lines=5
                        )
                        with gr.Row():
                            submit_btn = gr.Button("Solve Problem", variant="primary")
                            clear_btn = gr.Button("Clear")
                    
                with gr.Column(scale=2):
                    solution_output = gr.Markdown(label="Solution")
                
                # Store conversation history (invisible to user)
                conversation_history = gr.State(value=None)
                
                # Button actions
                submit_btn.click(
                    fn=generate_math_solution,
                    inputs=[api_key_input, problem_input, conversation_history],
                    outputs=[solution_output, conversation_history]
                )
                
                clear_btn.click(
                    fn=lambda: ("", None),
                    inputs=[],
                    outputs=[solution_output, conversation_history]
                )
            
            with gr.TabItem("Practice Problems"):
                with gr.Row():
                    with gr.Column(scale=1):
                        practice_api_key = gr.Textbox(
                            label="OpenRouter API Key", 
                            placeholder="Enter your OpenRouter API key (starts with sk-or-)",
                            type="password"
                        )
                        topic_input = gr.Textbox(
                            label="Math Topic", 
                            placeholder="e.g., Algebra, Calculus, Geometry...",
                        )
                        difficulty_input = gr.Dropdown(
                            label="Difficulty Level",
                            choices=["Easy", "Medium", "Hard", "Challenge"],
                            value="Medium"
                        )
                        generate_btn = gr.Button("Generate Practice Problem", variant="primary")
                    
                with gr.Column(scale=2):
                    practice_problem_output = gr.Markdown(label="Practice Problem")
                    solve_practice_btn = gr.Button("Solve This Practice Problem")
                
                # Store practice problem history
                practice_history = gr.State(value=None)
                
                # Button actions for practice problems
                generate_btn.click(
                    fn=generate_practice_problem,
                    inputs=[practice_api_key, topic_input, difficulty_input, practice_history],
                    outputs=[practice_problem_output, practice_history]
                )
                
                # Button to transfer practice problem to solver
                solve_practice_btn.click(
                    fn=lambda problem: problem,
                    inputs=[practice_problem_output],
                    outputs=[problem_input],
                    _js="() => {document.querySelector('button[id^=\"tabitem\"]').click();}"
                )
            
            with gr.TabItem("Help"):
                gr.Markdown("""
                ## How to Use the Advanced Math Tutor
                
                ### Getting Started
                1. You'll need an API key from OpenRouter to use this app
                2. Sign up at [OpenRouter](https://openrouter.ai/) to get your API key
                3. Enter your API key in the designated field
                
                ### Solving Math Problems
                - Type or paste your math problem in the input field
                - Click "Solve Problem" to get a detailed step-by-step solution
                - The solution will include explanations for each step
                
                ### Practice Problems
                - Go to the Practice Problems tab
                - Enter a math topic (e.g., "Integration", "Linear Equations")
                - Select a difficulty level
                - Click "Generate Practice Problem" to get a new problem
                - Use "Solve This Practice Problem" to transfer it to the solver
                
                ### Tips for Best Results
                - Be specific in your problem description
                - Include all necessary information
                - For complex equations, use clear notation
                
                ### Example Problems
                Try these example problems:
                - Solve the quadratic equation: 3x² + 5x - 2 = 0
                - Find the derivative of f(x) = x³ln(x)
                - Calculate the area of a circle with radius 5 cm
                """)
        
        # Footer
        gr.Markdown("""
        ---
        ### About
        This application uses Microsoft's Phi-4-reasoning-plus model via OpenRouter to generate step-by-step solutions. 
        Your API key is required but not stored permanently.
        """)
    
    return demo

# Launch the app
if __name__ == "__main__":
    demo = create_demo()
    demo.launch()