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| import os | |
| import io | |
| import sys | |
| import uuid | |
| import base64 | |
| import traceback | |
| import contextlib | |
| import tempfile | |
| import subprocess | |
| import sqlite3 | |
| from typing import Dict, List, Any, Optional, Union | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| from PIL import Image | |
| from langchain_core.tools import tool | |
| class CodeInterpreter: | |
| def __init__(self, allowed_modules=None, max_execution_time=30, working_directory=None): | |
| """Initialize the code interpreter with safety measures.""" | |
| self.allowed_modules = allowed_modules or ["numpy", "pandas", "matplotlib", "scipy", "sklearn", "math", "random", "statistics", "datetime", "collections", | |
| "itertools", "functools", "operator", "re", "json", "sympy", "networkx", "nltk", "PIL", "pytesseract", "cmath", "uuid", "tempfile", "requests", "urllib"] | |
| self.max_execution_time = max_execution_time | |
| self.working_directory = working_directory or os.path.join(os.getcwd()) | |
| if not os.path.exists(self.working_directory): | |
| os.makedirs(self.working_directory) | |
| self.globals = {"__builtins__": __builtins__, "np": np, "pd": pd, "plt": plt, "Image": Image} | |
| self.temp_sqlite_db = os.path.join(tempfile.gettempdir(), "code_exec.db") | |
| def execute_code(self, code: str, language: str = "python") -> Dict[str, Any]: | |
| """Execute the provided code in the selected programming language.""" | |
| language = language.lower() | |
| execution_id = str(uuid.uuid4()) | |
| result = {"execution_id": execution_id, "status": "error", "stdout": "", "stderr": "", "result": None, "plots": [], "dataframes": []} | |
| try: | |
| if language == "python": | |
| return self._execute_python(code, execution_id) | |
| elif language == "bash": | |
| return self._execute_bash(code, execution_id) | |
| elif language == "sql": | |
| return self._execute_sql(code, execution_id) | |
| elif language == "c": | |
| return self._execute_c(code, execution_id) | |
| elif language == "java": | |
| return self._execute_java(code, execution_id) | |
| else: | |
| result["stderr"] = f"Unsupported language: {language}" | |
| except Exception as e: | |
| result["stderr"] = str(e) | |
| return result | |
| def _execute_python(self, code: str, execution_id: str) -> dict: | |
| output_buffer = io.StringIO() | |
| error_buffer = io.StringIO() | |
| result = {"execution_id": execution_id, "status": "error", "stdout": "", "stderr": "", "result": None, "plots": [], "dataframes": []} | |
| try: | |
| exec_dir = os.path.join(self.working_directory, execution_id) | |
| os.makedirs(exec_dir, exist_ok=True) | |
| plt.switch_backend('Agg') | |
| with contextlib.redirect_stdout(output_buffer), contextlib.redirect_stderr(error_buffer): | |
| exec_result = exec(code, self.globals) | |
| if plt.get_fignums(): | |
| for i, fig_num in enumerate(plt.get_fignums()): | |
| fig = plt.figure(fig_num) | |
| img_path = os.path.join(exec_dir, f"plot_{i}.png") | |
| fig.savefig(img_path) | |
| with open(img_path, "rb") as img_file: | |
| img_data = base64.b64encode(img_file.read()).decode('utf-8') | |
| result["plots"].append({"figure_number": fig_num, "data": img_data}) | |
| for var_name, var_value in self.globals.items(): | |
| if isinstance(var_value, pd.DataFrame) and len(var_value) > 0: | |
| result["dataframes"].append({"name": var_name, "head": var_value.head().to_dict(), "shape": var_value.shape, "dtypes": str(var_value.dtypes)}) | |
| result["status"] = "success" | |
| result["stdout"] = output_buffer.getvalue() | |
| result["result"] = exec_result | |
| except Exception as e: | |
| result["status"] = "error" | |
| result["stderr"] = f"{error_buffer.getvalue()}\n{traceback.format_exc()}" | |
| return result | |
| def _execute_bash(self, code: str, execution_id: str) -> dict: | |
| try: | |
| completed = subprocess.run(code, shell=True, capture_output=True, text=True, timeout=self.max_execution_time) | |
| return {"execution_id": execution_id, "status": "success" if completed.returncode == 0 else "error", "stdout": completed.stdout, "stderr": completed.stderr, "result": None, "plots": [], "dataframes": []} | |
| except subprocess.TimeoutExpired: | |
| return {"execution_id": execution_id, "status": "error", "stdout": "", "stderr": "Execution timed out.", "result": None, "plots": [], "dataframes": []} | |
| def _execute_sql(self, code: str, execution_id: str) -> dict: | |
| result = {"execution_id": execution_id, "status": "error", "stdout": "", "stderr": "", "result": None, "plots": [], "dataframes": []} | |
| try: | |
| conn = sqlite3.connect(self.temp_sqlite_db) | |
| cur = conn.cursor() | |
| cur.execute(code) | |
| if code.strip().lower().startswith("select"): | |
| columns = [description[0] for description in cur.description] | |
| rows = cur.fetchall() | |
| df = pd.DataFrame(rows, columns=columns) | |
| result["dataframes"].append({"name": "query_result", "head": df.head().to_dict(), "shape": df.shape, "dtypes": str(df.dtypes)}) | |
| else: | |
| conn.commit() | |
| result["status"] = "success" | |
| result["stdout"] = "Query executed successfully." | |
| except Exception as e: | |
| result["stderr"] = str(e) | |
| finally: | |
| conn.close() | |
| return result | |
| def _execute_c(self, code: str, execution_id: str) -> dict: | |
| temp_dir = tempfile.mkdtemp() | |
| source_path = os.path.join(temp_dir, "program.c") | |
| binary_path = os.path.join(temp_dir, "program") | |
| try: | |
| with open(source_path, "w") as f: | |
| f.write(code) | |
| compile_proc = subprocess.run(["gcc", source_path, "-o", binary_path], capture_output=True, text=True, timeout=self.max_execution_time) | |
| if compile_proc.returncode != 0: | |
| return {"execution_id": execution_id, "status": "error", "stdout": compile_proc.stdout, "stderr": compile_proc.stderr, "result": None, "plots": [], "dataframes": []} | |
| run_proc = subprocess.run([binary_path], capture_output=True, text=True, timeout=self.max_execution_time) | |
| return {"execution_id": execution_id, "status": "success" if run_proc.returncode == 0 else "error", "stdout": run_proc.stdout, "stderr": run_proc.stderr, "result": None, "plots": [], "dataframes": []} | |
| except Exception as e: return {"execution_id": execution_id, "status": "error", "stdout": "", "stderr": str(e), "result": None, "plots": [], "dataframes": []} | |
| def _execute_java(self, code: str, execution_id: str) -> dict: | |
| temp_dir = tempfile.mkdtemp() | |
| source_path = os.path.join(temp_dir, "Main.java") | |
| try: | |
| with open(source_path, "w") as f: | |
| f.write(code) | |
| compile_proc = subprocess.run(["javac", source_path], capture_output=True, text=True, timeout=self.max_execution_time) | |
| if compile_proc.returncode != 0: | |
| return {"execution_id": execution_id, "status": "error", "stdout": compile_proc.stdout, "stderr": compile_proc.stderr, "result": None, "plots": [], "dataframes": []} | |
| run_proc = subprocess.run(["java", "-cp", temp_dir, "Main"], capture_output=True, text=True, timeout=self.max_execution_time) | |
| return {"execution_id": execution_id, "status": "success" if run_proc.returncode == 0 else "error", "stdout": run_proc.stdout, "stderr": run_proc.stderr, "result": None, "plots": [], "dataframes": []} | |
| except Exception as e: | |
| return {"execution_id": execution_id, "status": "error", "stdout": "", "stderr": str(e), "result": None, "plots": [], "dataframes": []} | |
| interpreter_instance = CodeInterpreter() | |
| def execute_code_multilang(code: str, language: str = "python") -> str: | |
| """Execute code in multiple languages (Python, Bash, SQL, C, Java) and return results. | |
| Args: | |
| code (str): The source code to execute. | |
| language (str): The language of the code. Supported: "python", "bash", "sql", "c", "java". | |
| Returns: | |
| A string summarizing the execution results (stdout, stderr, errors, plots, dataframes if any). | |
| """ | |
| supported_languages = ["python", "bash", "sql", "c", "java"] | |
| language = language.lower() | |
| if language not in supported_languages: | |
| return f"❌ Unsupported language: {language}. Supported languages are: {', '.join(supported_languages)}" | |
| result = interpreter_instance.execute_code(code, language=language) | |
| response = [] | |
| if result["status"] == "success": | |
| response.append(f"✅ Code executed successfully in **{language.upper()}**") | |
| if result.get("stdout"): | |
| response.append("\n**Standard Output:**\n```\n" + result["stdout"].strip() + "\n```") | |
| if result.get("stderr"): | |
| response.append( | |
| "\n**Standard Error (if any):**\n```\n" | |
| + result["stderr"].strip() + "\n```") | |
| if result.get("result") is not None: | |
| response.append( | |
| "\n**Execution Result:**\n```\n" | |
| + str(result["result"]).strip() + "\n```") | |
| if result.get("dataframes"): | |
| for df_info in result["dataframes"]: | |
| response.append(f"\n**DataFrame `{df_info['name']}` (Shape: {df_info['shape']})**") | |
| df_preview = pd.DataFrame(df_info["head"]) | |
| response.append("First 5 rows:\n```\n" + str(df_preview) + "\n```") | |
| if result.get("plots"): | |
| response.append(f"\n**Generated {len(result['plots'])} plot(s)** (Image data returned separately)") | |
| else: | |
| response.append(f"❌ Code execution failed in **{language.upper()}**") | |
| if result.get("stderr"): | |
| response.append("\n**Error Log:**\n```\n" + result["stderr"].strip() + "\n```") | |
| return "\n".join(response) |