web_server.py

#!/usr/bin/env python3

"""
MIT License

Copyright (c) 2025 Lin Yang, Yichen Huang

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""

from flask import Flask, render_template, request, jsonify
from flask_socketio import SocketIO, emit
import os
import sys
import subprocess
import tempfile
import threading
import time
import json
import re
from datetime import datetime

app = Flask(__name__)
app.config['SECRET_KEY'] = 'imo-math-solver-secret-key'
socketio = SocketIO(app, cors_allowed_origins="*")

# Store active solving sessions
active_sessions = {}

AGENT_FILES = {
    'gemini': 'code/agent.py',
    'openai': 'code/agent_oai.py',
    'xai': 'code/agent_xai.py'
}

@app.route('/')
def index():
    """Serve the main frontend page."""
    return render_template('index.html')

@app.route('/api/models', methods=['GET'])
def get_models():
    """Return available API providers and their models."""
    return jsonify({
        'providers': [
            {'id': 'gemini', 'name': 'Google Gemini', 'model': 'gemini-2.5-pro'},
            {'id': 'openai', 'name': 'OpenAI', 'model': 'gpt-5-pro-2025-10-06'},
            {'id': 'xai', 'name': 'XAI', 'model': 'grok-4-0709'}
        ]
    })

@app.route('/api/solve', methods=['POST'])
def solve_problem():
    """
    API endpoint to solve a math problem.

    Expected JSON payload:
    {
        "problem": "problem statement text",
        "provider": "gemini|openai|xai",
        "max_runs": 10,
        "num_agents": 1,
        "other_prompts": ""
    }
    """
    data = request.json
    problem_text = data.get('problem', '').strip()
    provider = data.get('provider', 'gemini')
    max_runs = int(data.get('max_runs', 10))
    num_agents = int(data.get('num_agents', 1))
    other_prompts = data.get('other_prompts', '').strip()
    session_id = data.get('session_id', str(time.time()))

    if not problem_text:
        return jsonify({'error': 'Problem statement is required'}), 400

    if provider not in AGENT_FILES:
        return jsonify({'error': f'Invalid provider: {provider}'}), 400

    # Create a temporary file for the problem
    with tempfile.NamedTemporaryFile(mode='w', suffix='.txt', delete=False, encoding='utf-8') as f:
        f.write(problem_text)
        problem_file = f.name

    # Create log directory for this session
    log_dir = os.path.join('logs', f'session_{session_id}')
    os.makedirs(log_dir, exist_ok=True)

    # Store session info
    active_sessions[session_id] = {
        'problem_file': problem_file,
        'log_dir': log_dir,
        'status': 'running',
        'start_time': datetime.now().isoformat()
    }

    # Run the solver in a background thread
    def run_solver():
        try:
            if num_agents == 1:
                # Single agent mode
                agent_file = AGENT_FILES[provider]
                log_file = os.path.join(log_dir, 'solution.log')

                cmd = [
                    sys.executable, agent_file,
                    problem_file,
                    '--log', log_file,
                    '--max_runs', str(max_runs)
                ]

                if other_prompts:
                    cmd.extend(['--other_prompts', other_prompts])

                socketio.emit('status', {
                    'session_id': session_id,
                    'status': 'running',
                    'message': f'Starting {provider} agent...'
                })

                process = subprocess.Popen(
                    cmd,
                    stdout=subprocess.PIPE,
                    stderr=subprocess.PIPE,
                    text=True
                )

                # Stream output
                for line in process.stdout:
                    socketio.emit('log', {
                        'session_id': session_id,
                        'line': line.strip()
                    })

                process.wait()

                # Read the solution from log file
                solution_found = False
                solution_text = ''

                try:
                    with open(log_file, 'r', encoding='utf-8') as f:
                        log_content = f.read()
                        if "Found a correct solution in run" in log_content:
                            solution_found = True
                            solution_text = log_content
                except Exception as e:
                    socketio.emit('error', {
                        'session_id': session_id,
                        'error': f'Error reading log: {str(e)}'
                    })

                active_sessions[session_id]['status'] = 'completed'
                active_sessions[session_id]['solution_found'] = solution_found

                socketio.emit('complete', {
                    'session_id': session_id,
                    'solution_found': solution_found,
                    'solution': solution_text,
                    'log_file': log_file
                })

            else:
                # Parallel mode
                agent_file = AGENT_FILES[provider]

                cmd = [
                    sys.executable, 'code/run_parallel.py',
                    problem_file,
                    '-n', str(num_agents),
                    '-d', log_dir,
                    '-a', agent_file,
                    '-m', str(max_runs)
                ]

                if other_prompts:
                    cmd.extend(['-o', other_prompts])

                socketio.emit('status', {
                    'session_id': session_id,
                    'status': 'running',
                    'message': f'Starting {num_agents} parallel {provider} agents...'
                })

                process = subprocess.Popen(
                    cmd,
                    stdout=subprocess.PIPE,
                    stderr=subprocess.PIPE,
                    text=True,
                    cwd=os.path.dirname(os.path.abspath(__file__))
                )

                # Stream output
                for line in process.stdout:
                    socketio.emit('log', {
                        'session_id': session_id,
                        'line': line.strip()
                    })

                process.wait()

                # Check for solution in any log file
                solution_found = False
                solution_text = ''
                solution_log = None

                log_files = [f for f in os.listdir(log_dir) if f.endswith('.log')]
                for log_file_name in log_files:
                    log_path = os.path.join(log_dir, log_file_name)
                    try:
                        with open(log_path, 'r', encoding='utf-8') as f:
                            content = f.read()
                            if "Found a correct solution in run" in content:
                                solution_found = True
                                solution_text = content
                                solution_log = log_path
                                break
                    except Exception:
                        pass

                active_sessions[session_id]['status'] = 'completed'
                active_sessions[session_id]['solution_found'] = solution_found

                socketio.emit('complete', {
                    'session_id': session_id,
                    'solution_found': solution_found,
                    'solution': solution_text,
                    'log_file': solution_log or log_dir
                })

        except Exception as e:
            active_sessions[session_id]['status'] = 'error'
            socketio.emit('error', {
                'session_id': session_id,
                'error': str(e)
            })
        finally:
            # Clean up temporary problem file
            try:
                os.unlink(problem_file)
            except Exception:
                pass

    # Start solver in background thread
    thread = threading.Thread(target=run_solver)
    thread.daemon = True
    thread.start()

    return jsonify({
        'session_id': session_id,
        'status': 'started',
        'message': 'Problem solving started'
    })

@app.route('/api/session/<session_id>', methods=['GET'])
def get_session(session_id):
    """Get status of a solving session."""
    if session_id not in active_sessions:
        return jsonify({'error': 'Session not found'}), 404

    return jsonify(active_sessions[session_id])

if __name__ == '__main__':
    # Create logs directory if it doesn't exist
    os.makedirs('logs', exist_ok=True)

    print("=" * 60)
    print("IMO Math Problem Solver - Web Interface")
    print("=" * 60)
    print("Starting server on http://localhost:5000")
    print("Press Ctrl+C to stop the server")
    print("=" * 60)

    socketio.run(app, host='0.0.0.0', port=5001, debug=True, allow_unsafe_werkzeug=True)