File size: 12,617 Bytes
f64893d 702bd40 f64893d d349090 f64893d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 |
# ========================== #
# 📦 Imports and Setup
# ========================== #
import os
import io
import sys
import uuid
import base64
import traceback
import contextlib
import tempfile
import subprocess
import sqlite3
import logging
from typing import Dict, Any
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from PIL import Image
from langchain_core.tools import tool
# ========================== #
# 📋 Logging Setup
# ========================== #
def setup_logger(log_file="execution.log"):
logger = logging.getLogger("CodeInterpreter")
logger.setLevel(logging.INFO)
if not logger.handlers:
handler = logging.FileHandler(log_file)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
return logger
logger = setup_logger()
# =================================================================== #
# Code interpreter tools for languages like Python, Java, C++, SQL and C
# =================================================================== #
class Code_Interpreter:
def __init__ (
self,
allowed_modules = None,
max_execution_time = 30,
working_directory = None
):
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]:
"""Dispatch execution to the appropriate language handler."""
lang = langauge.lower()
execution_id = str(uuid.uuid4())
logger.info(f"[{execution_id}] Executing code in language: {lang}")
result = {
"execution_id": execution_id,
"status": "error",
"stdout": "",
"stderr": "",
"result": None,
"plots": [],
"dataframes": []
}
try:
if lang == "python":
if any(x in code for x in ["os.remove", "shutil.rmtree", "open('/etc", "__import__"]):
raise ValueError("Unsafe code detected.")
return self._execute_python(code, execution_id)
elif lang == "java":
return self._execute_java(code, execution_id)
elif lang == "c":
return self._execute_c(code, execution_id)
elif lang == "sql":
return self._execute_sql(code, execution_id)
elif lang == "bash":
return self._execute_bash(code, execution_id)
except Exception as e:
result["stderr"] = str(e)
logger.error(f"[{execution_id}] Execution error: {e}", exc_info=True)
return result
def _execute_python(self, code: str, execution_id: str) -> dict:
"""Execute Python code safely with stdout/stderr capture and plot handling."""
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)
# Capture plots
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})
# Capture dataframes
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
logger.info(f"[{execution_id}] Python code executed successfully.")
except Exception as e:
result["status"] = "error"
result["stderr"] = error_buffer.getvalue() + "\n" + traceback.format_exc()
logger.error(f"[{execution_id}] Python execution failed: {e}", exc_info=True)
return result
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": []
}
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_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 = [desc[0] for desc 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)
logger.error(f"[{execution_id}] SQL execution failed: {e}", exc_info=True)
finally:
conn.close()
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": []
}
# ================================== #
# LangChain tool
# ================================== #
interpreter = Code_Interpreter()
@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
"""
result = interpreter.execute_code(code, 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("dataframes"):
for df in result["dataframes"]:
preview = pd.DataFrame(df["head"])
response.append(f"\n**DataFrame `{df['name']}` (Shape: {df['shape']})**\n```\n{preview}\n```")
if result.get("plots"):
response.append(f"\n🖼️ {len(result['plots'])} plot(s) generated (encoded)")
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) |