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JARVIS/backend/app/agents/tools/sandbox_executor.py

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"""
Sandbox Executor - 沙盒执行器
在高风险任务在隔离的临时目录中执行
"""
import asyncio
import os
import shutil
import tempfile
from dataclasses import dataclass, field
from pathlib import Path
from typing import AsyncGenerator
from app.agents.tools.ai_adapter import AICLIAdapter, CodeExecutionResult
@dataclass
class SandboxEnvironment:
"""沙盒环境"""
workspace_path: Path
session_id: str
@staticmethod
async def create(prefix: str = "jarvis_code_") -> "SandboxEnvironment":
"""创建新的沙盒环境"""
temp_dir = tempfile.mkdtemp(prefix=prefix)
session_id = Path(temp_dir).name
return SandboxEnvironment(
workspace_path=Path(temp_dir),
session_id=session_id,
)
async def cleanup(self) -> None:
"""清理沙盒环境"""
if self.workspace_path.exists():
shutil.rmtree(self.workspace_path)
def list_created_files(self) -> list[str]:
"""列出沙盒中创建的文件"""
if not self.workspace_path.exists():
return []
files = []
for root, dirs, filenames in os.walk(self.workspace_path):
for filename in filenames:
full_path = os.path.join(root, filename)
rel_path = os.path.relpath(full_path, self.workspace_path)
files.append(rel_path)
return files
@dataclass
class ExecutionResult:
"""执行结果"""
success: bool
exit_code: int
stdout: str
stderr: str
files_created: list[str] = field(default_factory=list)
class SandboxExecutor:
"""沙盒执行器"""
def __init__(self, adapter: AICLIAdapter, timeout: int = 300):
self.adapter = adapter
self.timeout = timeout
self._sessions: dict[str, SandboxEnvironment] = {}
async def execute(
self,
prompt: str,
session_id: str | None = None,
) -> AsyncGenerator[str, None]:
"""
执行代码任务yield 实时输出
Args:
prompt: 任务描述
session_id: 会话 ID可选用于复用沙盒
Yields:
str: 实时输出
"""
# 1. 创建或复用沙盒环境
if session_id and session_id in self._sessions:
env = self._sessions[session_id]
else:
env = await SandboxEnvironment.create()
self._sessions[env.session_id] = env
session_id = env.session_id
# 2. 构建命令
cmd = self.adapter.build_command(prompt, env.workspace_path)
# 3. 异步执行,实时 yield 输出
process = await asyncio.create_subprocess_exec(
*cmd,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
cwd=str(env.workspace_path),
env={**os.environ, "TERM": "xterm-256color"},
)
# 4. 实时读取输出
stdout_lines = []
stderr_lines = []
while True:
try:
line_bytes = await asyncio.wait_for(
process.stdout.readline(),
timeout=self.timeout,
)
if not line_bytes:
break
line = line_bytes.decode("utf-8", errors="replace")
stdout_lines.append(line)
yield line
except asyncio.TimeoutError:
process.kill()
yield f"\n[ERROR] Execution timed out after {self.timeout}s\n"
break
# 5. 读取 stderr
stderr_bytes = await process.communicate()
if stderr_bytes[1]:
stderr = stderr_bytes[1].decode("utf-8", errors="replace")
stderr_lines.append(stderr)
yield f"\n[STDERR]\n{stderr}\n"
# 6. 返回结果(通过 yield 完成标记)
result = ExecutionResult(
success=process.returncode == 0,
exit_code=process.returncode or 0,
stdout="".join(stdout_lines),
stderr="".join(stderr_lines),
files_created=env.list_created_files(),
)
yield f"\n[EXIT_CODE] {result.exit_code}\n"
yield f"\n[COMPLETE] success={result.success}\n"
async def get_result(
self,
prompt: str,
session_id: str | None = None,
) -> ExecutionResult:
"""同步执行并返回完整结果"""
output_parts = []
async for line in self.execute(prompt, session_id):
output_parts.append(line)
# 解析最后的结果
# 实际使用中可能需要更复杂的结果收集
return ExecutionResult(
success="[COMPLETE] success=True" in "".join(output_parts),
exit_code=0,
stdout="".join(output_parts),
stderr="",
files_created=[],
)
async def cleanup_session(self, session_id: str) -> bool:
"""清理指定会话"""
if session_id in self._sessions:
await self._sessions[session_id].cleanup()
del self._sessions[session_id]
return True
return False
def get_session(self, session_id: str) -> SandboxEnvironment | None:
"""获取会话环境"""
return self._sessions.get(session_id)