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- adds filterable label selectors on resources Closes #864 Signed-off-by: Derek Carr <decarr@redhat.com>
611 lines
19 KiB
Python
611 lines
19 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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from __future__ import annotations
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import base64
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import json
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import os
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import pathlib
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import sys
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import time
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from dataclasses import dataclass
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from typing import TYPE_CHECKING
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from urllib.parse import urlparse
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import grpc
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from ._proto import (
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inference_pb2,
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inference_pb2_grpc,
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openshell_pb2,
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openshell_pb2_grpc,
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)
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if TYPE_CHECKING:
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import builtins
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from collections.abc import Callable, Iterator, Mapping, Sequence
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@dataclass(frozen=True)
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class TlsConfig:
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ca_path: pathlib.Path
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cert_path: pathlib.Path
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key_path: pathlib.Path
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@dataclass(frozen=True)
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class SandboxRef:
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id: str
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name: str
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phase: int
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@dataclass(frozen=True)
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class ExecChunk:
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stream: str
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data: bytes
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@dataclass(frozen=True)
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class ExecResult:
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exit_code: int
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stdout: str
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stderr: str
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class SandboxError(RuntimeError):
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pass
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class SandboxSession:
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def __init__(self, client: SandboxClient, sandbox: SandboxRef) -> None:
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self._client = client
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self.sandbox = sandbox
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@property
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def id(self) -> str:
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return self.sandbox.id
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def exec(
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self,
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command: Sequence[str],
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*,
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stream_output: bool = False,
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workdir: str | None = None,
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env: Mapping[str, str] | None = None,
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stdin: bytes | None = None,
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timeout_seconds: int | None = None,
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) -> ExecResult:
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return self._client.exec(
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self.sandbox.id,
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command,
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stream_output=stream_output,
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workdir=workdir,
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env=env,
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stdin=stdin,
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timeout_seconds=timeout_seconds,
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)
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def exec_python(
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self,
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function: Callable[..., object],
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*,
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args: Sequence[object] = (),
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kwargs: Mapping[str, object] | None = None,
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stream_output: bool = False,
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workdir: str | None = None,
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env: Mapping[str, str] | None = None,
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timeout_seconds: int | None = None,
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) -> ExecResult:
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return self._client.exec_python(
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self.sandbox.id,
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function,
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args=args,
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kwargs=kwargs,
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stream_output=stream_output,
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workdir=workdir,
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env=env,
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timeout_seconds=timeout_seconds,
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)
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def delete(self) -> bool:
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return self._client.delete(self.sandbox.name)
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class SandboxClient:
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"""gRPC client for sandbox CRUD and command execution."""
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def __init__(
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self,
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endpoint: str,
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*,
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tls: TlsConfig | None = None,
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timeout: float = 30.0,
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cluster_name: str | None = None,
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) -> None:
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self._endpoint = endpoint
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self._timeout = timeout
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self._cluster_name = cluster_name
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if tls is None:
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self._channel = grpc.insecure_channel(endpoint)
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else:
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credentials = grpc.ssl_channel_credentials(
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root_certificates=tls.ca_path.read_bytes(),
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private_key=tls.key_path.read_bytes(),
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certificate_chain=tls.cert_path.read_bytes(),
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)
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self._channel = grpc.secure_channel(endpoint, credentials)
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self._stub = openshell_pb2_grpc.OpenShellStub(self._channel)
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@classmethod
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def from_active_cluster(
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cls,
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*,
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cluster: str | None = None,
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timeout: float = 30.0,
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) -> SandboxClient:
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cluster_name = cluster or _resolve_active_cluster()
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metadata_path = (
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_xdg_config_home()
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/ "openshell"
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/ "gateways"
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/ cluster_name
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/ "metadata.json"
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)
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metadata = json.loads(metadata_path.read_text())
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parsed = urlparse(metadata["gateway_endpoint"])
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host = parsed.hostname or "127.0.0.1"
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port = parsed.port or (443 if parsed.scheme == "https" else 80)
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endpoint = f"{host}:{port}"
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if parsed.scheme == "https":
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mtls_dir = (
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_xdg_config_home() / "openshell" / "gateways" / cluster_name / "mtls"
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)
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tls = TlsConfig(
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ca_path=mtls_dir / "ca.crt",
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cert_path=mtls_dir / "tls.crt",
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key_path=mtls_dir / "tls.key",
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)
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return cls(endpoint, tls=tls, timeout=timeout, cluster_name=cluster_name)
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return cls(endpoint, timeout=timeout, cluster_name=cluster_name)
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def close(self) -> None:
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self._channel.close()
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def __enter__(self) -> SandboxClient:
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return self
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def __exit__(self, *args: object) -> None:
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self.close()
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def health(self) -> openshell_pb2.HealthResponse:
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return self._stub.Health(openshell_pb2.HealthRequest(), timeout=self._timeout)
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def create(
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self,
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*,
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spec: openshell_pb2.SandboxSpec | None = None,
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) -> SandboxRef:
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request_spec = spec if spec is not None else _default_spec()
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response = self._stub.CreateSandbox(
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openshell_pb2.CreateSandboxRequest(spec=request_spec),
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timeout=self._timeout,
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)
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sandbox_ref = _sandbox_ref(response.sandbox)
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if sandbox_ref.id == "":
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raise SandboxError("CreateSandbox returned empty sandbox id")
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return sandbox_ref
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def create_session(
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self,
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*,
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spec: openshell_pb2.SandboxSpec | None = None,
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) -> SandboxSession:
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return SandboxSession(self, self.create(spec=spec))
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def get(self, sandbox_name: str) -> SandboxRef:
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response = self._stub.GetSandbox(
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openshell_pb2.GetSandboxRequest(name=sandbox_name),
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timeout=self._timeout,
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)
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return _sandbox_ref(response.sandbox)
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def get_session(self, sandbox_name: str) -> SandboxSession:
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return SandboxSession(self, self.get(sandbox_name))
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def list(self, *, limit: int = 100, offset: int = 0) -> builtins.list[SandboxRef]:
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response = self._stub.ListSandboxes(
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openshell_pb2.ListSandboxesRequest(limit=limit, offset=offset),
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timeout=self._timeout,
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)
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return [_sandbox_ref(item) for item in response.sandboxes]
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def list_ids(self, *, limit: int = 100, offset: int = 0) -> builtins.list[str]:
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return [item.id for item in self.list(limit=limit, offset=offset)]
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def delete(self, sandbox_name: str) -> bool:
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response = self._stub.DeleteSandbox(
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openshell_pb2.DeleteSandboxRequest(name=sandbox_name),
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timeout=self._timeout,
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)
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return bool(response.deleted)
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def wait_deleted(self, sandbox_name: str, *, timeout_seconds: float = 60.0) -> None:
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deadline = time.time() + timeout_seconds
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while time.time() < deadline:
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try:
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self.get(sandbox_name)
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except grpc.RpcError as exc:
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if (
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isinstance(exc, grpc.Call)
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and exc.code() == grpc.StatusCode.NOT_FOUND
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):
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return
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raise
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time.sleep(1)
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raise SandboxError(f"sandbox {sandbox_name} was not deleted within timeout")
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def wait_ready(
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self, sandbox_name: str, *, timeout_seconds: float = 300.0
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) -> SandboxRef:
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deadline = time.time() + timeout_seconds
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while time.time() < deadline:
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sandbox = self.get(sandbox_name)
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if sandbox.phase == openshell_pb2.SANDBOX_PHASE_READY:
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return sandbox
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if sandbox.phase == openshell_pb2.SANDBOX_PHASE_ERROR:
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raise SandboxError(f"sandbox {sandbox_name} entered error phase")
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time.sleep(1)
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raise SandboxError(f"sandbox {sandbox_name} was not ready within timeout")
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def exec_stream(
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self,
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sandbox_id: str,
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command: Sequence[str],
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*,
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workdir: str | None = None,
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env: Mapping[str, str] | None = None,
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stdin: bytes | None = None,
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timeout_seconds: int | None = None,
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) -> Iterator[ExecChunk | ExecResult]:
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if not command:
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raise SandboxError("command must not be empty")
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request = openshell_pb2.ExecSandboxRequest(
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sandbox_id=sandbox_id,
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command=list(command),
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workdir=workdir or "",
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environment=dict(env or {}),
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timeout_seconds=timeout_seconds or 0,
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stdin=stdin or b"",
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)
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# Use whichever is larger: the default client timeout or the command
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# timeout plus headroom for SSH setup / teardown overhead.
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grpc_deadline = self._timeout
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if timeout_seconds and timeout_seconds + 10 > grpc_deadline:
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grpc_deadline = timeout_seconds + 10
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stream = self._stub.ExecSandbox(request, timeout=grpc_deadline)
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stdout_parts: list[bytes] = []
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stderr_parts: list[bytes] = []
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exit_code: int | None = None
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for event in stream:
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payload = event.WhichOneof("payload")
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if payload == "stdout":
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data = bytes(event.stdout.data)
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stdout_parts.append(data)
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yield ExecChunk(stream="stdout", data=data)
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elif payload == "stderr":
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data = bytes(event.stderr.data)
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stderr_parts.append(data)
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yield ExecChunk(stream="stderr", data=data)
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elif payload == "exit":
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exit_code = int(event.exit.exit_code)
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if exit_code is None:
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raise SandboxError("ExecSandbox stream ended without an exit event")
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yield ExecResult(
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exit_code=exit_code,
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stdout=b"".join(stdout_parts).decode("utf-8", errors="replace"),
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stderr=b"".join(stderr_parts).decode("utf-8", errors="replace"),
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)
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def exec(
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self,
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sandbox_id: str,
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command: Sequence[str],
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*,
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stream_output: bool = False,
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workdir: str | None = None,
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env: Mapping[str, str] | None = None,
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stdin: bytes | None = None,
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timeout_seconds: int | None = None,
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) -> ExecResult:
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result: ExecResult | None = None
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for item in self.exec_stream(
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sandbox_id,
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command,
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workdir=workdir,
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env=env,
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stdin=stdin,
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timeout_seconds=timeout_seconds,
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):
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if stream_output and isinstance(item, ExecChunk):
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if item.stream == "stdout":
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sys.stdout.buffer.write(item.data)
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sys.stdout.flush()
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else:
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sys.stderr.buffer.write(item.data)
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sys.stderr.flush()
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if isinstance(item, ExecResult):
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result = item
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if result is None:
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raise SandboxError("ExecSandbox did not return a result")
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return result
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def exec_python(
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self,
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sandbox_id: str,
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function: Callable[..., object],
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*,
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args: Sequence[object] = (),
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kwargs: Mapping[str, object] | None = None,
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stream_output: bool = False,
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workdir: str | None = None,
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env: Mapping[str, str] | None = None,
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timeout_seconds: int | None = None,
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) -> ExecResult:
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exec_env = dict(env or {})
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exec_env["OPENSHELL_PYFUNC_B64"] = _serialize_python_callable(
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function,
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args=args,
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kwargs=kwargs,
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)
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return self.exec(
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sandbox_id,
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[_SANDBOX_PYTHON_BIN, "-c", _PYTHON_CLOUDPICKLE_BOOTSTRAP],
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stream_output=stream_output,
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workdir=workdir,
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env=exec_env,
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timeout_seconds=timeout_seconds,
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)
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@dataclass(frozen=True)
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class ClusterInferenceConfig:
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provider_name: str
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model_id: str
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version: int
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class InferenceRouteClient:
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"""gRPC client for cluster-level inference configuration."""
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def __init__(self, channel: grpc.Channel, *, timeout: float = 30.0) -> None:
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self._stub = inference_pb2_grpc.InferenceStub(channel)
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self._timeout = timeout
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@classmethod
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def from_sandbox_client(cls, client: SandboxClient) -> InferenceRouteClient:
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return cls(client._channel, timeout=client._timeout)
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def set_cluster(
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self,
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*,
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provider_name: str,
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model_id: str,
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no_verify: bool = False,
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) -> ClusterInferenceConfig:
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response = self._stub.SetClusterInference(
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inference_pb2.SetClusterInferenceRequest(
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provider_name=provider_name,
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model_id=model_id,
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no_verify=no_verify,
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),
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timeout=self._timeout,
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)
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return ClusterInferenceConfig(
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provider_name=response.provider_name,
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model_id=response.model_id,
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version=response.version,
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)
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def get_cluster(self) -> ClusterInferenceConfig:
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response = self._stub.GetClusterInference(
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inference_pb2.GetClusterInferenceRequest(),
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timeout=self._timeout,
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)
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return ClusterInferenceConfig(
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provider_name=response.provider_name,
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model_id=response.model_id,
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version=response.version,
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)
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class Sandbox:
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"""Context-managed sandbox session bound to one sandbox id."""
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def __init__(
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self,
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*,
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cluster: str | None = None,
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sandbox: str | SandboxRef | None = None,
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delete_on_exit: bool = True,
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spec: openshell_pb2.SandboxSpec | None = None,
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timeout: float = 30.0,
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ready_timeout_seconds: float = 120.0,
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) -> None:
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self._cluster = cluster
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self._sandbox_input = sandbox
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self._delete_on_exit = delete_on_exit
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self._spec = spec
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self._timeout = timeout
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self._ready_timeout_seconds = ready_timeout_seconds
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self._client: SandboxClient | None = None
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self._session: SandboxSession | None = None
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@property
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def id(self) -> str:
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if self._session is None:
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raise SandboxError("sandbox context has not been entered")
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return self._session.id
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@property
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def sandbox(self) -> SandboxRef:
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if self._session is None:
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raise SandboxError("sandbox context has not been entered")
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return self._session.sandbox
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def __enter__(self) -> Sandbox:
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client = SandboxClient.from_active_cluster(
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cluster=self._cluster,
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timeout=self._timeout,
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)
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self._client = client
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if self._sandbox_input is None:
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self._session = client.create_session(spec=self._spec)
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elif isinstance(self._sandbox_input, SandboxRef):
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self._session = SandboxSession(client, self._sandbox_input)
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else:
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self._session = client.get_session(self._sandbox_input)
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ready = client.wait_ready(
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self._session.sandbox.name,
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timeout_seconds=self._ready_timeout_seconds,
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)
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self._session = SandboxSession(client, ready)
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return self
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def __exit__(self, *args: object) -> None:
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try:
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if (
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self._delete_on_exit
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and self._session is not None
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and self._client is not None
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):
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try:
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deleted = self._session.delete()
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if deleted:
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self._client.wait_deleted(self._session.sandbox.name)
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except grpc.RpcError as exc:
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if (
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not isinstance(exc, grpc.Call)
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or exc.code() != grpc.StatusCode.NOT_FOUND
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):
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raise
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finally:
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if self._client is not None:
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self._client.close()
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self._session = None
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self._client = None
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def exec(
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self,
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command: Sequence[str],
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*,
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stream_output: bool = False,
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workdir: str | None = None,
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env: Mapping[str, str] | None = None,
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stdin: bytes | None = None,
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timeout_seconds: int | None = None,
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) -> ExecResult:
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if self._session is None:
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raise SandboxError("sandbox context has not been entered")
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return self._session.exec(
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command,
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stream_output=stream_output,
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workdir=workdir,
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env=env,
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stdin=stdin,
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timeout_seconds=timeout_seconds,
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)
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|
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def exec_python(
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self,
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function: Callable[..., object],
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*,
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args: Sequence[object] = (),
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kwargs: Mapping[str, object] | None = None,
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stream_output: bool = False,
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workdir: str | None = None,
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env: Mapping[str, str] | None = None,
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timeout_seconds: int | None = None,
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) -> ExecResult:
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if self._session is None:
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raise SandboxError("sandbox context has not been entered")
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|
return self._session.exec_python(
|
|
function,
|
|
args=args,
|
|
kwargs=kwargs,
|
|
stream_output=stream_output,
|
|
workdir=workdir,
|
|
env=env,
|
|
timeout_seconds=timeout_seconds,
|
|
)
|
|
|
|
|
|
_PYTHON_CLOUDPICKLE_BOOTSTRAP = (
|
|
"import base64,cloudpickle,os;"
|
|
"payload=base64.b64decode(os.environ['OPENSHELL_PYFUNC_B64']);"
|
|
"func,args,kwargs=cloudpickle.loads(payload);"
|
|
"result=func(*args,**kwargs);"
|
|
"print(result) if result is not None else None"
|
|
)
|
|
|
|
_SANDBOX_PYTHON_BIN = "python"
|
|
|
|
|
|
def _serialize_python_callable(
|
|
function: Callable[..., object],
|
|
*,
|
|
args: Sequence[object],
|
|
kwargs: Mapping[str, object] | None,
|
|
) -> str:
|
|
try:
|
|
import cloudpickle
|
|
except ImportError as exc: # pragma: no cover - import error path
|
|
raise SandboxError("cloudpickle is required for exec_python") from exc
|
|
|
|
payload = cloudpickle.dumps((function, tuple(args), dict(kwargs or {})))
|
|
return base64.b64encode(payload).decode("ascii")
|
|
|
|
|
|
def _sandbox_ref(sandbox: openshell_pb2.Sandbox) -> SandboxRef:
|
|
return SandboxRef(
|
|
id=sandbox.metadata.id if sandbox.metadata else "",
|
|
name=sandbox.metadata.name if sandbox.metadata else "",
|
|
phase=sandbox.phase,
|
|
)
|
|
|
|
|
|
def _default_spec() -> openshell_pb2.SandboxSpec:
|
|
# Omit the policy field so the sandbox container discovers its policy
|
|
# from /etc/openshell/policy.yaml (baked into the image at build time).
|
|
# This avoids duplicating policy defaults between the SDK and the
|
|
# container image and ensures sandboxes get the full dev-sandbox-policy
|
|
# (including network_policies) out of the box.
|
|
return openshell_pb2.SandboxSpec()
|
|
|
|
|
|
def _xdg_config_home() -> pathlib.Path:
|
|
configured = os.environ.get("XDG_CONFIG_HOME")
|
|
if configured:
|
|
return pathlib.Path(configured)
|
|
return pathlib.Path.home() / ".config"
|
|
|
|
|
|
def _resolve_active_cluster() -> str:
|
|
env_gateway = os.environ.get("OPENSHELL_GATEWAY")
|
|
if env_gateway:
|
|
return env_gateway
|
|
active_file = _xdg_config_home() / "openshell" / "active_gateway"
|
|
value = active_file.read_text().strip()
|
|
if value == "":
|
|
raise SandboxError("no active gateway configured")
|
|
return value
|