mirror of
https://github.com/NVIDIA/OpenShell.git
synced 2026-10-17 05:31:16 +08:00
Extend python/openshell/ with the verbs needed to express the multi-agent-notepad flow entirely in Python: - ProviderClient (create/get/list/delete); credentials_from_env resolves env var names to mirror the CLI's --credential flag. - policy_from_yaml() loads the CLI's YAML format into a SandboxPolicy proto. Lazy-imports PyYAML, added to runtime deps. - SandboxClient.upload() gzip-tars the source and pipes the tarball over ExecSandbox(stdin=...) to 'tar xzf -'. No paramiko dependency. - SandboxClient.create() gains friendly kwargs (name, image, providers, policy, environment, gpu, labels) alongside the existing spec= path. architecture/python-sdk.md documents the design principle (mirror CLI verbs, not raw protos), the public surface, and what's out of scope (image build, gateway bootstrap, draft policy, port-forward, RelayStream). examples/multi-agent-notepad/notebook.ipynb is a Python equivalent of demo.sh: env validation, policy render, provider creation, parallel worker sandboxes via ThreadPoolExecutor, synthesis sandbox, cleanup. 13 new unit tests; all 23 sandbox tests pass; ruff/ty/markdownlint clean.
811 lines
25 KiB
Python
811 lines
25 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 io
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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 tarfile
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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 google.protobuf import json_format
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from ._proto import (
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datamodel_pb2,
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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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sandbox_pb2,
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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 ProviderRef:
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id: str
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name: str
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type: str
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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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self._providers: ProviderClient | None = None
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@property
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def providers(self) -> ProviderClient:
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if self._providers is None:
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self._providers = ProviderClient(self._stub, timeout=self._timeout)
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return self._providers
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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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name: str | None = None,
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image: str | None = None,
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providers: Sequence[str] | None = None,
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policy: sandbox_pb2.SandboxPolicy | None = None,
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environment: Mapping[str, str] | None = None,
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gpu: bool = False,
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labels: Mapping[str, str] | None = None,
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) -> SandboxRef:
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kwargs_used = (
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image is not None
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or providers is not None
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or policy is not None
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or environment is not None
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or gpu
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)
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if spec is not None and kwargs_used:
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raise SandboxError(
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"create() accepts either spec= or the convenience kwargs "
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"(image, providers, policy, environment, gpu), not both"
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)
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if spec is not None:
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request_spec = spec
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elif kwargs_used:
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request_spec = openshell_pb2.SandboxSpec(
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environment=dict(environment or {}),
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providers=list(providers or []),
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gpu=gpu,
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)
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if image is not None:
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request_spec.template.image = image
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if policy is not None:
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request_spec.policy.CopyFrom(policy)
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else:
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request_spec = _default_spec()
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request = openshell_pb2.CreateSandboxRequest(
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spec=request_spec,
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name=name or "",
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labels=dict(labels or {}),
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)
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response = self._stub.CreateSandbox(request, timeout=self._timeout)
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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 upload(
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self,
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sandbox_id: str,
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src: str | pathlib.Path,
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dst: str,
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*,
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timeout_seconds: int | None = None,
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) -> None:
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src_path = pathlib.Path(src)
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if not src_path.exists():
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raise SandboxError(f"upload source does not exist: {src_path}")
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buffer = io.BytesIO()
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with tarfile.open(fileobj=buffer, mode="w:gz") as tar:
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tar.add(str(src_path), arcname=src_path.name)
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tarball = buffer.getvalue()
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# Stream the tarball over ExecSandbox stdin instead of using the
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# gateway SSH tunnel; sufficient for notebook-sized payloads and
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# avoids an SSH client dependency.
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quoted_dst = "'" + dst.replace("'", "'\\''") + "'"
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result = self.exec(
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sandbox_id,
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["sh", "-c", f"mkdir -p {quoted_dst} && tar xzf - -C {quoted_dst}"],
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stdin=tarball,
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timeout_seconds=timeout_seconds,
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)
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if result.exit_code != 0:
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raise SandboxError(
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f"upload to {dst} failed (exit {result.exit_code}): "
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f"{result.stderr.strip() or result.stdout.strip()}"
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)
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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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|
|
|
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class ProviderClient:
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"""gRPC client for provider CRUD."""
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|
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def __init__(
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self,
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stub: openshell_pb2_grpc.OpenShellStub,
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*,
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timeout: float = 30.0,
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) -> None:
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self._stub = stub
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self._timeout = timeout
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|
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def create(
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self,
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*,
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name: str,
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provider_type: str,
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credentials: Mapping[str, str] | None = None,
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credentials_from_env: Sequence[str] | None = None,
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config: Mapping[str, str] | None = None,
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labels: Mapping[str, str] | None = None,
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) -> ProviderRef:
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creds: dict[str, str] = dict(credentials or {})
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for env_name in credentials_from_env or ():
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value = os.environ.get(env_name)
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if value is None:
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raise SandboxError(
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f"environment variable {env_name!r} is not set; "
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f"cannot resolve credential for provider {name!r}"
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)
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creds[env_name] = value
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|
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provider = datamodel_pb2.Provider(
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metadata=datamodel_pb2.ObjectMeta(
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name=name,
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labels=dict(labels or {}),
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),
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type=provider_type,
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credentials=creds,
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config=dict(config or {}),
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)
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response = self._stub.CreateProvider(
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openshell_pb2.CreateProviderRequest(provider=provider),
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timeout=self._timeout,
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)
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return _provider_ref(response.provider)
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def get(self, name: str) -> ProviderRef:
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response = self._stub.GetProvider(
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openshell_pb2.GetProviderRequest(name=name),
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timeout=self._timeout,
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)
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return _provider_ref(response.provider)
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|
|
|
def list(
|
|
self,
|
|
*,
|
|
limit: int = 100,
|
|
offset: int = 0,
|
|
) -> builtins.list[ProviderRef]:
|
|
response = self._stub.ListProviders(
|
|
openshell_pb2.ListProvidersRequest(limit=limit, offset=offset),
|
|
timeout=self._timeout,
|
|
)
|
|
return [_provider_ref(item) for item in response.providers]
|
|
|
|
def delete(self, name: str) -> bool:
|
|
response = self._stub.DeleteProvider(
|
|
openshell_pb2.DeleteProviderRequest(name=name),
|
|
timeout=self._timeout,
|
|
)
|
|
return bool(response.deleted)
|
|
|
|
|
|
@dataclass(frozen=True)
|
|
class ClusterInferenceConfig:
|
|
provider_name: str
|
|
model_id: str
|
|
version: int
|
|
|
|
|
|
class InferenceRouteClient:
|
|
"""gRPC client for cluster-level inference configuration."""
|
|
|
|
def __init__(self, channel: grpc.Channel, *, timeout: float = 30.0) -> None:
|
|
self._stub = inference_pb2_grpc.InferenceStub(channel)
|
|
self._timeout = timeout
|
|
|
|
@classmethod
|
|
def from_sandbox_client(cls, client: SandboxClient) -> InferenceRouteClient:
|
|
return cls(client._channel, timeout=client._timeout)
|
|
|
|
def set_cluster(
|
|
self,
|
|
*,
|
|
provider_name: str,
|
|
model_id: str,
|
|
no_verify: bool = False,
|
|
) -> ClusterInferenceConfig:
|
|
response = self._stub.SetClusterInference(
|
|
inference_pb2.SetClusterInferenceRequest(
|
|
provider_name=provider_name,
|
|
model_id=model_id,
|
|
no_verify=no_verify,
|
|
),
|
|
timeout=self._timeout,
|
|
)
|
|
return ClusterInferenceConfig(
|
|
provider_name=response.provider_name,
|
|
model_id=response.model_id,
|
|
version=response.version,
|
|
)
|
|
|
|
def get_cluster(self) -> ClusterInferenceConfig:
|
|
response = self._stub.GetClusterInference(
|
|
inference_pb2.GetClusterInferenceRequest(),
|
|
timeout=self._timeout,
|
|
)
|
|
return ClusterInferenceConfig(
|
|
provider_name=response.provider_name,
|
|
model_id=response.model_id,
|
|
version=response.version,
|
|
)
|
|
|
|
|
|
class Sandbox:
|
|
"""Context-managed sandbox session bound to one sandbox id."""
|
|
|
|
def __init__(
|
|
self,
|
|
*,
|
|
cluster: str | None = None,
|
|
sandbox: str | SandboxRef | None = None,
|
|
delete_on_exit: bool = True,
|
|
spec: openshell_pb2.SandboxSpec | None = None,
|
|
timeout: float = 30.0,
|
|
ready_timeout_seconds: float = 120.0,
|
|
) -> None:
|
|
self._cluster = cluster
|
|
self._sandbox_input = sandbox
|
|
self._delete_on_exit = delete_on_exit
|
|
self._spec = spec
|
|
self._timeout = timeout
|
|
self._ready_timeout_seconds = ready_timeout_seconds
|
|
self._client: SandboxClient | None = None
|
|
self._session: SandboxSession | None = None
|
|
|
|
@property
|
|
def id(self) -> str:
|
|
if self._session is None:
|
|
raise SandboxError("sandbox context has not been entered")
|
|
return self._session.id
|
|
|
|
@property
|
|
def sandbox(self) -> SandboxRef:
|
|
if self._session is None:
|
|
raise SandboxError("sandbox context has not been entered")
|
|
return self._session.sandbox
|
|
|
|
def __enter__(self) -> Sandbox:
|
|
client = SandboxClient.from_active_cluster(
|
|
cluster=self._cluster,
|
|
timeout=self._timeout,
|
|
)
|
|
self._client = client
|
|
|
|
if self._sandbox_input is None:
|
|
self._session = client.create_session(spec=self._spec)
|
|
elif isinstance(self._sandbox_input, SandboxRef):
|
|
self._session = SandboxSession(client, self._sandbox_input)
|
|
else:
|
|
self._session = client.get_session(self._sandbox_input)
|
|
|
|
ready = client.wait_ready(
|
|
self._session.sandbox.name,
|
|
timeout_seconds=self._ready_timeout_seconds,
|
|
)
|
|
self._session = SandboxSession(client, ready)
|
|
|
|
return self
|
|
|
|
def __exit__(self, *args: object) -> None:
|
|
try:
|
|
if (
|
|
self._delete_on_exit
|
|
and self._session is not None
|
|
and self._client is not None
|
|
):
|
|
try:
|
|
deleted = self._session.delete()
|
|
if deleted:
|
|
self._client.wait_deleted(self._session.sandbox.name)
|
|
except grpc.RpcError as exc:
|
|
if (
|
|
not isinstance(exc, grpc.Call)
|
|
or exc.code() != grpc.StatusCode.NOT_FOUND
|
|
):
|
|
raise
|
|
finally:
|
|
if self._client is not None:
|
|
self._client.close()
|
|
self._session = None
|
|
self._client = None
|
|
|
|
def exec(
|
|
self,
|
|
command: Sequence[str],
|
|
*,
|
|
stream_output: bool = False,
|
|
workdir: str | None = None,
|
|
env: Mapping[str, str] | None = None,
|
|
stdin: bytes | None = None,
|
|
timeout_seconds: int | None = None,
|
|
) -> ExecResult:
|
|
if self._session is None:
|
|
raise SandboxError("sandbox context has not been entered")
|
|
return self._session.exec(
|
|
command,
|
|
stream_output=stream_output,
|
|
workdir=workdir,
|
|
env=env,
|
|
stdin=stdin,
|
|
timeout_seconds=timeout_seconds,
|
|
)
|
|
|
|
def exec_python(
|
|
self,
|
|
function: Callable[..., object],
|
|
*,
|
|
args: Sequence[object] = (),
|
|
kwargs: Mapping[str, object] | None = None,
|
|
stream_output: bool = False,
|
|
workdir: str | None = None,
|
|
env: Mapping[str, str] | None = None,
|
|
timeout_seconds: int | None = None,
|
|
) -> ExecResult:
|
|
if self._session is None:
|
|
raise SandboxError("sandbox context has not been entered")
|
|
return self._session.exec_python(
|
|
function,
|
|
args=args,
|
|
kwargs=kwargs,
|
|
stream_output=stream_output,
|
|
workdir=workdir,
|
|
env=env,
|
|
timeout_seconds=timeout_seconds,
|
|
)
|
|
|
|
|
|
def policy_from_yaml(
|
|
source: str | pathlib.Path,
|
|
) -> sandbox_pb2.SandboxPolicy:
|
|
try:
|
|
import yaml
|
|
except ImportError as exc:
|
|
raise SandboxError(
|
|
"policy_from_yaml requires PyYAML; install with `pip install pyyaml`"
|
|
) from exc
|
|
|
|
if isinstance(source, pathlib.Path):
|
|
text = source.read_text()
|
|
elif "\n" not in source and pathlib.Path(source).exists():
|
|
text = pathlib.Path(source).read_text()
|
|
else:
|
|
text = source
|
|
|
|
parsed = yaml.safe_load(text)
|
|
if not isinstance(parsed, dict):
|
|
raise SandboxError("policy YAML must parse to a mapping at the top level")
|
|
|
|
# CLI YAML uses `filesystem_policy`; the proto field is `filesystem`.
|
|
if "filesystem_policy" in parsed and "filesystem" not in parsed:
|
|
parsed["filesystem"] = parsed.pop("filesystem_policy")
|
|
|
|
policy = sandbox_pb2.SandboxPolicy()
|
|
json_format.ParseDict(parsed, policy, ignore_unknown_fields=False)
|
|
return policy
|
|
|
|
|
|
_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 _provider_ref(provider: datamodel_pb2.Provider) -> ProviderRef:
|
|
return ProviderRef(
|
|
id=provider.metadata.id if provider.metadata else "",
|
|
name=provider.metadata.name if provider.metadata else "",
|
|
type=provider.type,
|
|
)
|
|
|
|
|
|
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
|