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from langchain_core.tools import tool
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
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", "os", "io", "sys", "base64", "traceback", "contextlib", "sqlite3"
]
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", file_path: Optional[str] = None) -> Dict[str, Any]:
"""Execute the provided code or code from a file 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": []
}
current_code = code
if file_path:
if not os.path.exists(file_path):
result["stderr"] = f"Error: File not found at {file_path}"
return result
if not os.path.isfile(file_path):
result["stderr"] = f"Error: Path {file_path} is not a file."
return result
try:
with open(file_path, "r", encoding='utf-8') as f:
current_code = f.read()
if not current_code.strip() and code.strip(): # If file is empty but code arg has content
# This case might be ambiguous. Prioritize file content if path is given.
# If file is truly empty, and code arg was also meant to be empty, it will proceed.
# If code arg had content and file was empty, it implies user might want to run content of code arg.
# For now, if file_path is provided, its content (even if empty) takes precedence.
# If the intention is to run `code` when `file_path` is empty, the caller should not provide `file_path`.
pass # current_code is already empty string from file
elif not current_code.strip() and not code.strip():
result["stderr"] = "Error: Both provided code string and file content are empty."
return result
except Exception as e:
result["stderr"] = f"Error reading file {file_path}: {str(e)}"
return result
elif not code.strip(): # No file_path and code string is empty
result["stderr"] = "Error: No code provided either as a string or a file path."
return result
try:
if language == "python":
return self._execute_python(current_code, execution_id)
elif language == "bash":
return self._execute_bash(current_code, execution_id)
elif language == "sql":
return self._execute_sql(current_code, execution_id)
elif language == "c":
return self._execute_c(current_code, execution_id)
elif language == "java":
return self._execute_java(current_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", file_path: Optional[str] = None) -> Dict[str, Any]:
"""
Executes code in various languages (Python, Bash, SQL, C, Java) using a sandboxed interpreter.
Can execute code provided as a string or from a specified file path.
If file_path is provided, the content of the file will be executed.
If both code string and file_path are provided, the content of the file at file_path takes precedence.
Args:
code (str): The code string to execute. Ignored if file_path is provided and valid.
language (str, optional): The programming language. Defaults to "python".
Supported: "python", "bash", "sql", "c", "java".
file_path (Optional[str], optional): Absolute path to a file containing the code to execute.
If provided, its content overrides the 'code' argument.
Returns:
Dict[str, Any]: A dictionary containing execution results, including status, stdout, stderr,
plots (for Python), and dataframes (for Python and SQL).
"""
interpreter = CodeInterpreter()
return interpreter.execute_code(code=code, language=language, file_path=file_path) |