Files
OpenLearnX/backend/routes/coding.py
T
2025-07-26 22:27:23 +05:30

241 lines
7.6 KiB
Python

from flask import Blueprint, request, jsonify, session
from functools import wraps
import subprocess
import tempfile
import os
import time
import uuid
from datetime import datetime
import docker
import psutil
bp = Blueprint('coding', __name__)
def secure_execution_required(f):
@wraps(f)
def decorated_function(*args, **kwargs):
# Check if user is in secure coding mode
if not session.get('secure_coding_mode'):
return jsonify({"error": "Secure coding mode required"}), 403
return f(*args, **kwargs)
return decorated_function
@bp.route("/start-session", methods=["POST"])
def start_coding_session():
"""Start a secure coding session"""
try:
data = request.json
course_id = data.get('course_id')
lesson_id = data.get('lesson_id')
session_id = str(uuid.uuid4())
session['coding_session_id'] = session_id
session['secure_coding_mode'] = True
session['start_time'] = datetime.now().isoformat()
session['course_id'] = course_id
session['lesson_id'] = lesson_id
return jsonify({
"success": True,
"session_id": session_id,
"message": "Secure coding session started",
"restrictions": {
"copy_paste_disabled": True,
"browser_locked": True,
"extensions_blocked": True,
"virtual_detection": True
}
})
except Exception as e:
return jsonify({"error": str(e)}), 500
@bp.route("/execute", methods=["POST"])
@secure_execution_required
def execute_code():
"""Execute code securely in isolated environment"""
try:
data = request.json
code = data.get('code')
language = data.get('language', 'python')
test_cases = data.get('test_cases', [])
if not code:
return jsonify({"error": "No code provided"}), 400
# Log coding attempt
log_coding_attempt(session['coding_session_id'], code, language)
# Execute code in secure container
result = execute_in_container(code, language, test_cases)
return jsonify(result)
except Exception as e:
return jsonify({"error": str(e)}), 500
@bp.route("/submit-test", methods=["POST"])
@secure_execution_required
def submit_coding_test():
"""Submit coding test for evaluation"""
try:
data = request.json
code = data.get('code')
problem_id = data.get('problem_id')
# Validate against test cases
test_result = validate_test_submission(code, problem_id)
# Store submission
submission_id = store_submission(
session['coding_session_id'],
session['course_id'],
problem_id,
code,
test_result
)
return jsonify({
"success": True,
"submission_id": submission_id,
"score": test_result['score'],
"passed_tests": test_result['passed'],
"total_tests": test_result['total'],
"feedback": test_result['feedback']
})
except Exception as e:
return jsonify({"error": str(e)}), 500
def execute_in_container(code, language, test_cases):
"""Execute code in secure Docker container"""
try:
client = docker.from_env()
# Language-specific container configuration
containers = {
'python': 'python:3.9-alpine',
'java': 'openjdk:11-alpine',
'javascript': 'node:16-alpine'
}
if language not in containers:
return {"error": "Unsupported language"}
# Create temporary file
with tempfile.NamedTemporaryFile(mode='w', suffix=f'.{get_file_extension(language)}', delete=False) as f:
f.write(code)
temp_file = f.name
try:
# Run container with security restrictions
container = client.containers.run(
containers[language],
command=get_run_command(language, temp_file),
volumes={os.path.dirname(temp_file): {'bind': '/app', 'mode': 'ro'}},
working_dir='/app',
mem_limit='128m',
cpu_period=100000,
cpu_quota=50000, # 50% CPU limit
network_mode='none', # No network access
remove=True,
timeout=10, # 10 second timeout
detach=False
)
output = container.decode('utf-8')
# Run test cases if provided
test_results = []
if test_cases:
for test in test_cases:
test_result = run_test_case(code, language, test)
test_results.append(test_result)
return {
"success": True,
"output": output,
"test_results": test_results,
"execution_time": "< 10s"
}
finally:
os.unlink(temp_file)
except docker.errors.ContainerError as e:
return {"error": f"Runtime error: {e}"}
except docker.errors.ImageNotFound:
return {"error": "Language runtime not available"}
except Exception as e:
return {"error": f"Execution failed: {str(e)}"}
def get_file_extension(language):
extensions = {
'python': 'py',
'java': 'java',
'javascript': 'js'
}
return extensions.get(language, 'txt')
def get_run_command(language, filename):
commands = {
'python': f'python /app/{os.path.basename(filename)}',
'java': f'javac /app/{os.path.basename(filename)} && java -cp /app {os.path.splitext(os.path.basename(filename))[0]}',
'javascript': f'node /app/{os.path.basename(filename)}'
}
return commands.get(language)
def log_coding_attempt(session_id, code, language):
"""Log all coding attempts for monitoring"""
from pymongo import MongoClient
client = MongoClient(os.getenv('MONGODB_URI', 'mongodb://localhost:27017/'))
db = client.openlearnx
db.coding_logs.insert_one({
"session_id": session_id,
"code": code,
"language": language,
"timestamp": datetime.now(),
"ip_address": request.remote_addr,
"user_agent": request.headers.get('User-Agent')
})
def validate_test_submission(code, problem_id):
"""Validate code against predefined test cases"""
# Load test cases for the problem
test_cases = get_problem_test_cases(problem_id)
passed = 0
total = len(test_cases)
feedback = []
for i, test_case in enumerate(test_cases):
result = run_test_case(code, 'python', test_case)
if result['passed']:
passed += 1
feedback.append(f"Test {i+1}: ✅ Passed")
else:
feedback.append(f"Test {i+1}: ❌ Failed - {result['error']}")
score = (passed / total) * 100
return {
"score": score,
"passed": passed,
"total": total,
"feedback": feedback
}
def get_problem_test_cases(problem_id):
"""Get test cases for a specific problem"""
# This would load from your database
test_cases_db = {
"python-basics-1": [
{"input": "hello", "expected_output": "HELLO"},
{"input": "world", "expected_output": "WORLD"}
],
"java-oop-1": [
{"input": "5", "expected_output": "25"},
{"input": "10", "expected_output": "100"}
]
}
return test_cases_db.get(problem_id, [])