| 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() |
|
|
| @tool |
| 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) |
