Delete code_interpreter.py

code_interpreter.py

@@ -1,281 +0,0 @@
-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"
-        ]
-        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": []
-            }