core/safe_executor.py

# algoforge_prime/core/safe_executor.py
# WARNING: THIS IS A SIMULATED SAFE EXECUTOR. DO NOT USE FOR REAL UNTRUSTED CODE.
# A real implementation would require robust sandboxing (Docker, nsjail, Firecracker, WASM, etc.)
# This simulation is purely for demonstrating the application flow.

import time
import random
import traceback

class ExecutionResult:
    def __init__(self, success: bool, output: str = None, error: str = None, execution_time: float = 0.0, passed_tests: int = 0, total_tests: int = 0):
        self.success = success          # True if code ran without crashing (not necessarily if tests passed)
        self.output = output            # Stdout from the execution
        self.error = error              # Stderr or exception message
        self.execution_time = execution_time
        self.passed_tests = passed_tests  # Number of 'assert' statements that passed
        self.total_tests = total_tests    # Total 'assert' statements found and attempted

    def __str__(self):
        if self.success:
            test_summary = f"Tests: {self.passed_tests}/{self.total_tests} passed. " if self.total_tests > 0 else ""
            return f"Execution OK. {test_summary}Time: {self.execution_time:.4f}s. Output: {str(self.output)[:200]}"
        else:
            return f"Execution FAILED. Error: {str(self.error)[:300]}. Time: {self.execution_time:.4f}s"

def execute_python_code_with_tests(code_string: str, tests_string: str, timeout_seconds: int = 5) -> ExecutionResult:
    """
    SIMULATES sandboxed execution of Python code against a set of assert-based tests.
    In a real system, this function would be a complex interface to a secure sandbox.
    """
    print(f"SIMULATOR: Attempting to 'execute' code with tests. Timeout: {timeout_seconds}s")
    start_time = time.time()

    if not code_string.strip():
        return ExecutionResult(success=False, error="No code provided to execute.", execution_time=time.time() - start_time)

    # Basic simulation:
    # 1. Check for obvious syntax issues (very naive)
    if "def " not in code_string and "class " not in code_string and not any(op in code_string for op in ["=", "+", "-", "*", "/"]):
         # If it doesn't look like defining something or doing operations, maybe it's just a malformed snippet
        if len(code_string) < 50 and "print" not in code_string : # very arbitrary
            return ExecutionResult(success=False, error="Simulated: Code appears incomplete or malformed for execution.", execution_time=time.time()-start_time)


    # 2. Simulate test parsing and execution
    test_lines = [line.strip() for line in tests_string.splitlines() if line.strip().startswith("assert")]
    total_tests = len(test_lines)
    passed_tests = 0
    simulated_stdout = []
    simulated_stderr = None

    if total_tests == 0 and tests_string.strip(): # If tests were provided but no asserts found
        simulated_stderr = "Simulated: Test string provided, but no 'assert' statements found."
        # We can still "run" the code itself without asserts
    
    # Simulate code "running"
    try:
        if "loop forever" in code_string.lower() or "while True:" in code_string and "break" not in code_string: # Timeout simulation
            time.sleep(timeout_seconds + 0.1) # Exceed timeout
            raise TimeoutError("Simulated: Code execution timed out.")
        
        # Simulate print statements
        if "print('hello world')" in code_string:
            simulated_stdout.append("hello world")
        if "print(1+1)" in code_string:
            simulated_stdout.append("2")

        # Simulate errors
        if "1/0" in code_string or "zerodivisionerror" in code_string:
            raise ZeroDivisionError("Simulated: division by zero")
        if "undefined_variable" in code_string:
            raise NameError("Simulated: name 'undefined_variable' is not defined")

        # Simulate test passing/failing (very naively)
        if total_tests > 0:
            for i, test_line in enumerate(test_lines):
                # This is extremely basic and not real evaluation.
                # A real system would execute each assert in the context of the provided code.
                if "==" in test_line:
                    if "True" in test_line or "120" in test_line or "correct" in test_line.lower(): # Naive pass conditions
                        if random.random() > 0.1: # 90% chance of passing "good" tests
                            passed_tests += 1
                            simulated_stdout.append(f"Simulated Test {i+1} ({test_line[:30]}...): PASSED")
                        else:
                            simulated_stdout.append(f"Simulated Test {i+1} ({test_line[:30]}...): FAILED (Random Sim)")
                            if not simulated_stderr: simulated_stderr = f"Simulated: Assertion failed on test {i+1}"
                    elif "False" in test_line or "wrong" in test_line.lower(): # Naive fail conditions
                         if random.random() > 0.1: # 90% chance of failing "bad" tests
                            simulated_stdout.append(f"Simulated Test {i+1} ({test_line[:30]}...): FAILED (Expected by Sim)")
                            if not simulated_stderr: simulated_stderr = f"Simulated: Assertion failed on test {i+1} (Expected by Sim)"
                         else: # 10% chance of unexpectedly passing
                            passed_tests +=1
                            simulated_stdout.append(f"Simulated Test {i+1} ({test_line[:30]}...): PASSED (Unexpected by Sim)")
                    else: # Other asserts
                        if random.random() > 0.5: # 50/50
                            passed_tests += 1
                            simulated_stdout.append(f"Simulated Test {i+1} ({test_line[:30]}...): PASSED (Random Sim)")
                        else:
                            simulated_stdout.append(f"Simulated Test {i+1} ({test_line[:30]}...): FAILED (Random Sim)")
                            if not simulated_stderr: simulated_stderr = f"Simulated: Assertion failed on test {i+1} (Random Sim)"
                else: # Non-equality asserts, just pass some randomly
                    if random.random() > 0.3: passed_tests +=1
        
        # If no explicit error, but not all tests passed
        if total_tests > 0 and passed_tests < total_tests and not simulated_stderr:
            simulated_stderr = f"Simulated: {total_tests - passed_tests} out of {total_tests} assertions failed."

        execution_time = time.time() - start_time
        if execution_time > timeout_seconds: # Check after simulated work
            raise TimeoutError("Simulated: Code execution exceeded timeout.")

        return ExecutionResult(
            success=True if not simulated_stderr or (total_tests > 0 and passed_tests == total_tests) else False, # Success if no errors or all tests pass
            output="\n".join(simulated_stdout) if simulated_stdout else None,
            error=simulated_stderr,
            execution_time=execution_time,
            passed_tests=passed_tests,
            total_tests=total_tests
        )

    except Exception as e:
        execution_time = time.time() - start_time
        tb_str = traceback.format_exc()
        print(f"SIMULATOR EXCEPTION: {e}\n{tb_str}")
        return ExecutionResult(
            success=False,
            error=f"Simulated Exception: {type(e).__name__} - {str(e)}",
            execution_time=execution_time,
            passed_tests=passed_tests, # Could be some if error happened mid-tests
            total_tests=total_tests
        )