mirror of
https://github.com/fawney19/Aether.git
synced 2026-09-03 01:40:21 +08:00
8f26e1a31f
- 删除 aether-hub、aether-proxy 独立项目及其 Dockerfile/配置 - 删除 crates/aether-executor 和 crates/aether-gateway 全部模块 - 新增 apps/ 目录作为应用入口 - 将 hub 概念重构为 gateway tunnel transport - 将 executor 重构为 execution runtime - 新增 tunnel.rs 合约定义和 testkit tunnel/execution_runtime 模块 - 更新 Python 服务层和测试适配新架构命名
761 lines
25 KiB
Python
761 lines
25 KiB
Python
from __future__ import annotations
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from collections.abc import AsyncGenerator
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from types import SimpleNamespace
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from typing import Any
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import httpx
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import pytest
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import src.api.handlers.base.chat_handler_base as chatmod
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import src.services.proxy_node.resolver as proxymod
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from src.api.handlers.base.chat_handler_base import ChatHandlerBase
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from src.api.handlers.base.stream_context import StreamContext
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from src.core.exceptions import ProviderNotAvailableException
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from src.services.request.execution_runtime_client import (
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ExecutionRuntimeClientError,
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ExecutionRuntimeStreamResult,
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)
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class _DummyAuthInfo:
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auth_header = "authorization"
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auth_value = "Bearer test"
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decrypted_auth_config = None
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def as_tuple(self) -> tuple[str, str]:
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return self.auth_header, self.auth_value
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class _PassBuilder:
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def build(self, request_body: dict[str, Any], *args: Any, **kwargs: Any) -> Any:
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return request_body, {"content-type": "application/json"}
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class _DummyStreamResponseCtx:
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def __init__(self) -> None:
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self.closed = False
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async def __aexit__(self, exc_type: object, exc: object, tb: object) -> None:
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self.closed = True
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class _FakeStreamProcessor:
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def __init__(self) -> None:
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self.prefetched_chunks: list[bytes] | None = None
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self.response_ctx: _DummyStreamResponseCtx | None = None
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async def prefetch_and_check_error(
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self,
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byte_iterator: Any,
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provider: Any,
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endpoint: Any,
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ctx: Any,
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max_prefetch_lines: int = 5,
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max_prefetch_bytes: int = 65536,
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) -> list[bytes]:
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del provider, endpoint, ctx, max_prefetch_lines, max_prefetch_bytes
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first = await anext(byte_iterator)
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self.prefetched_chunks = [first]
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return self.prefetched_chunks
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async def create_response_stream(
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self,
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ctx: Any,
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byte_iterator: Any,
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response_ctx: _DummyStreamResponseCtx,
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prefetched_chunks: list[bytes] | None = None,
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*,
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start_time: float | None = None,
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) -> AsyncGenerator[bytes]:
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del ctx, start_time
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self.response_ctx = response_ctx
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try:
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for chunk in prefetched_chunks or []:
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yield chunk
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async for chunk in byte_iterator:
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yield chunk
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finally:
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await response_ctx.__aexit__(None, None, None)
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class _FakeParser:
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def is_error_response(self, response_json: dict[str, Any]) -> bool:
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del response_json
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return False
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class _FakeInternalUsage:
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input_tokens = 3
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output_tokens = 5
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cache_read_tokens = 1
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cache_write_tokens = 0
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class _FakeInternalResponse:
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def __init__(self) -> None:
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self.id = "resp-sync"
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self.model = ""
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self.usage = _FakeInternalUsage()
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class _FakeSourceNormalizer:
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def response_to_internal(self, response_json: dict[str, Any]) -> _FakeInternalResponse:
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assert response_json == {"id": "sync-1", "message": "hello"}
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return _FakeInternalResponse()
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class _FakeTargetNormalizer:
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def stream_event_from_internal(
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self,
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event: dict[str, Any],
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state: Any,
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) -> list[dict[str, Any]]:
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assert event == {"kind": "chunk"}
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assert getattr(state, "message_id", "") == "resp-sync"
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return [{"delta": "hello"}]
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class _FakeRegistry:
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def get_normalizer(self, format_id: str) -> Any:
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if format_id == "provider:test":
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return _FakeSourceNormalizer()
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if format_id == "openai:chat":
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return _FakeTargetNormalizer()
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raise AssertionError(f"unexpected format: {format_id}")
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class _DummyChatHandler(ChatHandlerBase):
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FORMAT_ID = "openai:chat"
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def __init__(self) -> None:
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self.request_id = "req-test"
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self.api_key = SimpleNamespace(id="user-key-1")
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self._request_builder = _PassBuilder()
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self.allowed_api_formats = ["openai:chat"]
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self.api_family = None
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self.endpoint_kind = None
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self.start_time = 0.0
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async def _convert_request(self, request: Any) -> Any:
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return request
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def _extract_usage(self, response: dict) -> dict[str, int]:
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return {}
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async def _get_mapped_model(
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self,
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source_model: str,
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provider_id: str,
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api_format: str | None = None,
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) -> str | None:
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del source_model, provider_id, api_format
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return None
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def apply_mapped_model(self, request_body: dict[str, Any], mapped_model: str) -> dict[str, Any]:
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out = dict(request_body)
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out["model"] = mapped_model
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return out
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def prepare_provider_request_body(self, request_body: dict[str, Any]) -> dict[str, Any]:
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return dict(request_body)
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def finalize_provider_request(
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self,
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request_body: dict[str, Any],
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*,
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mapped_model: str | None,
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provider_api_format: str | None,
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) -> dict[str, Any]:
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del mapped_model, provider_api_format
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return dict(request_body)
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def get_model_for_url(
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self,
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request_body: dict[str, Any],
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mapped_model: str | None,
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) -> str | None:
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return mapped_model or str(request_body.get("model") or "")
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def _patch_stream_setup(
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monkeypatch: pytest.MonkeyPatch,
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*,
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proxy_info: dict[str, Any] | None = None,
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delegate_config: dict[str, Any] | None = None,
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) -> None:
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async def _fake_get_provider_auth(endpoint: Any, key: Any) -> _DummyAuthInfo:
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del endpoint, key
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return _DummyAuthInfo()
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async def _fake_resolve_proxy_info(proxy_config: Any) -> Any:
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del proxy_config
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return proxy_info
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async def _fake_resolve_delegate(proxy_config: Any) -> Any:
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del proxy_config
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return delegate_config
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async def _fake_get_system_proxy() -> None:
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return None
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monkeypatch.setattr(chatmod, "get_provider_auth", _fake_get_provider_auth)
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monkeypatch.setattr(
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chatmod,
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"get_provider_behavior",
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lambda **kwargs: SimpleNamespace(
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envelope=None,
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same_format_variant=None,
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cross_format_variant=None,
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),
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)
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monkeypatch.setattr(chatmod, "build_provider_url", lambda *args, **kwargs: "https://upstream.test/v1/chat/completions")
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monkeypatch.setattr(chatmod, "get_upstream_stream_policy", lambda *args, **kwargs: None)
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monkeypatch.setattr(
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chatmod,
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"resolve_upstream_is_stream",
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lambda *, client_is_stream, policy: client_is_stream,
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)
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monkeypatch.setattr(chatmod, "enforce_stream_mode_for_upstream", lambda *args, **kwargs: None)
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monkeypatch.setattr(
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chatmod,
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"maybe_patch_request_with_prompt_cache_key",
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lambda request_body, **kwargs: request_body,
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)
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monkeypatch.setattr(proxymod, "resolve_effective_proxy", lambda provider_proxy, key_proxy=None: None)
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monkeypatch.setattr(proxymod, "resolve_proxy_info_async", _fake_resolve_proxy_info)
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monkeypatch.setattr(proxymod, "get_proxy_label", lambda proxy_info: "direct")
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monkeypatch.setattr(proxymod, "resolve_delegate_config_async", _fake_resolve_delegate)
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monkeypatch.setattr(proxymod, "get_system_proxy_config_async", _fake_get_system_proxy)
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monkeypatch.setattr(proxymod, "build_proxy_url_async", _fake_get_system_proxy)
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async def _iter_chunks(chunks: list[bytes]) -> AsyncGenerator[bytes]:
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for chunk in chunks:
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yield chunk
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@pytest.mark.asyncio
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async def test_execute_stream_request_uses_rust_executor_when_available(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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_patch_stream_setup(monkeypatch)
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monkeypatch.setattr(chatmod.config, "executor_backend", "rust")
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handler = _DummyChatHandler()
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stream_processor = _FakeStreamProcessor()
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ctx = StreamContext(model="gpt-test", api_format="openai:chat")
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ctx.client_api_format = "openai:chat"
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provider = SimpleNamespace(
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name="provider",
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id="provider-1",
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provider_type="",
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proxy=None,
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request_timeout=None,
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)
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endpoint = SimpleNamespace(id="endpoint-1", api_format="openai:chat", base_url="https://x")
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key = SimpleNamespace(id="key-1", proxy=None)
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candidate = SimpleNamespace(
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request_candidate_id="cand-1",
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mapping_matched_model=None,
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needs_conversion=False,
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output_limit=None,
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)
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dummy_ctx = _DummyStreamResponseCtx()
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async def _fake_execute_stream(self: object, plan: object) -> ExecutionRuntimeStreamResult:
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assert getattr(plan, "stream") is True
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return ExecutionRuntimeStreamResult(
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status_code=200,
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headers={"content-type": "text/event-stream", "x-upstream-test": "true"},
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byte_iterator=_iter_chunks(
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[
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b"data: {\"id\":\"chunk-1\"}\n\n",
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b"data: [DONE]\n\n",
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]
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),
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response_ctx=dummy_ctx,
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)
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monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_stream", _fake_execute_stream)
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stream = await handler._execute_stream_request(
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ctx,
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stream_processor,
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provider,
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endpoint,
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key,
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{"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
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{},
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candidate=candidate,
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)
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received = [chunk async for chunk in stream]
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assert received == [
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b"data: {\"id\":\"chunk-1\"}\n\n",
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b"data: [DONE]\n\n",
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]
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assert ctx.status_code == 200
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assert ctx.response_headers["x-upstream-test"] == "true"
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assert stream_processor.prefetched_chunks == [b"data: {\"id\":\"chunk-1\"}\n\n"]
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assert dummy_ctx.closed is True
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@pytest.mark.asyncio
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async def test_execute_stream_request_uses_rust_sync_executor_for_non_stream_upstream(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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_patch_stream_setup(monkeypatch)
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monkeypatch.setattr(chatmod.config, "executor_backend", "rust")
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handler = _DummyChatHandler()
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stream_processor = _FakeStreamProcessor()
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stream_processor.on_streaming_start = None
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ctx = StreamContext(model="gpt-test", api_format="openai:chat")
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ctx.client_api_format = "openai:chat"
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provider = SimpleNamespace(
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name="provider",
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id="provider-1",
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provider_type="",
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proxy=None,
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request_timeout=None,
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)
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endpoint = SimpleNamespace(id="endpoint-1", api_format="openai:chat", base_url="https://x")
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key = SimpleNamespace(id="key-1", proxy=None)
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candidate = SimpleNamespace(
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request_candidate_id="cand-1",
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mapping_matched_model=None,
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needs_conversion=False,
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output_limit=None,
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)
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async def _fake_prepare_provider_request(self: object, **kwargs: Any) -> object:
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del self, kwargs
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return chatmod.ProviderRequestResult(
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request_body={"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
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url_model="gpt-test",
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mapped_model=None,
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envelope=None,
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extra_headers={},
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upstream_is_stream=False,
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needs_conversion=False,
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provider_api_format="provider:test",
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client_api_format="openai:chat",
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auth_info=_DummyAuthInfo(),
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tls_profile=None,
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)
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async def _fake_execute_sync_json(self: object, plan: object) -> object:
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del self
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assert getattr(plan, "stream") is False
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return SimpleNamespace(
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status_code=200,
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response_json={"id": "sync-1", "message": "hello"},
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response_body_bytes=None,
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headers={"content-type": "application/json"},
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)
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async def _should_not_call_stream(self: object, plan: object) -> ExecutionRuntimeStreamResult:
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del self, plan
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raise AssertionError("stream executor should not be used")
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async def _should_not_get_http_client(*args: Any, **kwargs: Any) -> object:
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raise AssertionError("python upstream client should not be used")
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monkeypatch.setattr(
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_DummyChatHandler,
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"_prepare_provider_request",
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_fake_prepare_provider_request,
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)
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monkeypatch.setattr(chatmod, "get_format_converter_registry", lambda: _FakeRegistry())
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monkeypatch.setattr(
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chatmod,
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"iter_internal_response_as_stream_events",
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lambda internal_resp: [{"kind": "chunk"}],
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)
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monkeypatch.setattr(chatmod, "get_parser_for_format", lambda _format: _FakeParser())
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monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_sync_json", _fake_execute_sync_json)
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monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_stream", _should_not_call_stream)
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monkeypatch.setattr(
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"src.clients.http_client.HTTPClientPool.get_upstream_client",
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_should_not_get_http_client,
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)
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stream = await handler._execute_stream_request(
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ctx,
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stream_processor,
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provider,
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endpoint,
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key,
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{"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
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{},
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candidate=candidate,
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)
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received = [chunk async for chunk in stream]
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assert received == [
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b'data: {"delta": "hello"}\n\n',
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b"data: [DONE]\n\n",
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]
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assert ctx.status_code == 200
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assert ctx.input_tokens == 3
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assert ctx.output_tokens == 5
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assert ctx.cached_tokens == 1
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@pytest.mark.asyncio
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async def test_execute_stream_request_accepts_async_generator_stream_processor(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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_patch_stream_setup(monkeypatch)
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monkeypatch.setattr(chatmod.config, "executor_backend", "rust")
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handler = _DummyChatHandler()
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stream_processor = _FakeStreamProcessor()
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ctx = StreamContext(model="gpt-test", api_format="openai:chat")
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ctx.client_api_format = "openai:chat"
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provider = SimpleNamespace(name="provider", id="provider-1", provider_type="", proxy=None)
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endpoint = SimpleNamespace(id="endpoint-1", api_format="openai:chat", base_url="https://x")
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key = SimpleNamespace(id="key-1", proxy=None)
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candidate = SimpleNamespace(
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request_candidate_id="cand-1",
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mapping_matched_model=None,
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needs_conversion=False,
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output_limit=None,
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)
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dummy_ctx = _DummyStreamResponseCtx()
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async def _fake_execute_stream(self: object, plan: object) -> ExecutionRuntimeStreamResult:
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assert getattr(plan, "stream") is True
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return ExecutionRuntimeStreamResult(
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status_code=200,
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headers={"content-type": "text/event-stream"},
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byte_iterator=_iter_chunks(
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[
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b"data: {\"id\":\"chunk-1\"}\n\n",
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b"data: [DONE]\n\n",
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]
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),
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response_ctx=dummy_ctx,
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)
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monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_stream", _fake_execute_stream)
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stream = await handler._execute_stream_request(
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ctx,
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stream_processor,
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provider,
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endpoint,
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key,
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{"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
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{},
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candidate=candidate,
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)
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received = [chunk async for chunk in stream]
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assert received == [
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b"data: {\"id\":\"chunk-1\"}\n\n",
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b"data: [DONE]\n\n",
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]
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assert dummy_ctx.closed is True
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@pytest.mark.asyncio
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async def test_execute_stream_request_allows_tunnel_delegate_for_rust(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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_patch_stream_setup(
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monkeypatch,
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proxy_info={"node_id": "node-1", "node_name": "relay-node", "mode": "tunnel"},
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delegate_config={"tunnel": True, "node_id": "node-1"},
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)
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monkeypatch.setattr(chatmod.config, "executor_backend", "rust")
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handler = _DummyChatHandler()
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stream_processor = _FakeStreamProcessor()
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ctx = StreamContext(model="gpt-test", api_format="openai:chat")
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ctx.client_api_format = "openai:chat"
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provider = SimpleNamespace(
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name="provider",
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id="provider-1",
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provider_type="",
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proxy={"enabled": True, "node_id": "node-1"},
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)
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endpoint = SimpleNamespace(id="endpoint-1", api_format="openai:chat", base_url="https://x")
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key = SimpleNamespace(id="key-1", proxy=None)
|
|
candidate = SimpleNamespace(
|
|
request_candidate_id="cand-1",
|
|
mapping_matched_model=None,
|
|
needs_conversion=False,
|
|
output_limit=None,
|
|
)
|
|
|
|
dummy_ctx = _DummyStreamResponseCtx()
|
|
|
|
async def _fake_execute_stream(self: object, plan: object) -> ExecutionRuntimeStreamResult:
|
|
assert getattr(plan, "proxy") is not None
|
|
assert getattr(plan.proxy, "mode") == "tunnel"
|
|
assert getattr(plan.proxy, "node_id") == "node-1"
|
|
return ExecutionRuntimeStreamResult(
|
|
status_code=200,
|
|
headers={"content-type": "text/event-stream"},
|
|
byte_iterator=_iter_chunks([b"data: [DONE]\n\n"]),
|
|
response_ctx=dummy_ctx,
|
|
)
|
|
|
|
monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_stream", _fake_execute_stream)
|
|
|
|
stream = await handler._execute_stream_request(
|
|
ctx,
|
|
stream_processor,
|
|
provider,
|
|
endpoint,
|
|
key,
|
|
{"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
|
|
{},
|
|
candidate=candidate,
|
|
)
|
|
|
|
received = [chunk async for chunk in stream]
|
|
|
|
assert received == [b"data: [DONE]\n\n"]
|
|
assert dummy_ctx.closed is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_execute_stream_request_allows_tls_profile_for_rust(
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
) -> None:
|
|
_patch_stream_setup(monkeypatch)
|
|
monkeypatch.setattr(chatmod.config, "executor_backend", "rust")
|
|
|
|
handler = _DummyChatHandler()
|
|
stream_processor = _FakeStreamProcessor()
|
|
ctx = StreamContext(model="gpt-test", api_format="openai:chat")
|
|
ctx.client_api_format = "openai:chat"
|
|
|
|
provider = SimpleNamespace(name="provider", id="provider-1", provider_type="", proxy=None)
|
|
endpoint = SimpleNamespace(id="endpoint-1", api_format="openai:chat", base_url="https://x")
|
|
key = SimpleNamespace(id="key-1", proxy=None)
|
|
candidate = SimpleNamespace(
|
|
request_candidate_id="cand-1",
|
|
mapping_matched_model=None,
|
|
needs_conversion=False,
|
|
output_limit=None,
|
|
)
|
|
|
|
dummy_ctx = _DummyStreamResponseCtx()
|
|
|
|
async def _fake_prepare_provider_request(self: object, **kwargs: Any) -> object:
|
|
del self, kwargs
|
|
return chatmod.ProviderRequestResult(
|
|
request_body={"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
|
|
url_model="gpt-test",
|
|
mapped_model=None,
|
|
envelope=None,
|
|
extra_headers={},
|
|
upstream_is_stream=True,
|
|
needs_conversion=False,
|
|
provider_api_format="openai:chat",
|
|
client_api_format="openai:chat",
|
|
auth_info=_DummyAuthInfo(),
|
|
tls_profile="claude_code_nodejs",
|
|
)
|
|
|
|
monkeypatch.setattr(
|
|
_DummyChatHandler,
|
|
"_prepare_provider_request",
|
|
_fake_prepare_provider_request,
|
|
)
|
|
|
|
async def _fake_execute_stream(self: object, plan: object) -> ExecutionRuntimeStreamResult:
|
|
assert getattr(plan, "tls_profile") == "claude_code_nodejs"
|
|
return ExecutionRuntimeStreamResult(
|
|
status_code=200,
|
|
headers={"content-type": "text/event-stream"},
|
|
byte_iterator=_iter_chunks([b"data: [DONE]\n\n"]),
|
|
response_ctx=dummy_ctx,
|
|
)
|
|
|
|
monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_stream", _fake_execute_stream)
|
|
|
|
stream = await handler._execute_stream_request(
|
|
ctx,
|
|
stream_processor,
|
|
provider,
|
|
endpoint,
|
|
key,
|
|
{"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
|
|
{},
|
|
candidate=candidate,
|
|
)
|
|
|
|
received = [chunk async for chunk in stream]
|
|
|
|
assert received == [b"data: [DONE]\n\n"]
|
|
assert dummy_ctx.closed is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_execute_stream_request_turns_rust_upstream_error_into_http_status_error(
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
) -> None:
|
|
_patch_stream_setup(monkeypatch)
|
|
monkeypatch.setattr(chatmod.config, "executor_backend", "rust")
|
|
|
|
handler = _DummyChatHandler()
|
|
stream_processor = _FakeStreamProcessor()
|
|
ctx = StreamContext(model="gpt-test", api_format="openai:chat")
|
|
ctx.client_api_format = "openai:chat"
|
|
|
|
provider = SimpleNamespace(name="provider", id="provider-1", provider_type="", proxy=None)
|
|
endpoint = SimpleNamespace(id="endpoint-1", api_format="openai:chat", base_url="https://x")
|
|
key = SimpleNamespace(id="key-1", proxy=None)
|
|
candidate = SimpleNamespace(
|
|
request_candidate_id="cand-1",
|
|
mapping_matched_model=None,
|
|
needs_conversion=False,
|
|
output_limit=None,
|
|
)
|
|
|
|
dummy_ctx = _DummyStreamResponseCtx()
|
|
|
|
async def _fake_execute_stream(self: object, plan: object) -> ExecutionRuntimeStreamResult:
|
|
assert getattr(plan, "stream") is True
|
|
return ExecutionRuntimeStreamResult(
|
|
status_code=429,
|
|
headers={"content-type": "application/json"},
|
|
byte_iterator=_iter_chunks([b'{"error":{"message":"slow down"}}']),
|
|
response_ctx=dummy_ctx,
|
|
)
|
|
|
|
monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_stream", _fake_execute_stream)
|
|
|
|
with pytest.raises(httpx.HTTPStatusError) as exc_info:
|
|
await handler._execute_stream_request(
|
|
ctx,
|
|
stream_processor,
|
|
provider,
|
|
endpoint,
|
|
key,
|
|
{"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
|
|
{},
|
|
candidate=candidate,
|
|
)
|
|
|
|
assert exc_info.value.response.status_code == 429
|
|
assert "slow down" in exc_info.value.upstream_response # type: ignore[attr-defined]
|
|
assert dummy_ctx.closed is True
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_execute_stream_request_raises_when_rust_unavailable(
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
) -> None:
|
|
_patch_stream_setup(monkeypatch)
|
|
monkeypatch.setattr(chatmod.config, "executor_backend", "rust")
|
|
|
|
handler = _DummyChatHandler()
|
|
ctx = StreamContext(model="gpt-test", api_format="openai:chat")
|
|
ctx.client_api_format = "openai:chat"
|
|
|
|
provider = SimpleNamespace(name="provider", id="provider-1", provider_type="", proxy=None)
|
|
endpoint = SimpleNamespace(id="endpoint-1", api_format="openai:chat", base_url="https://x")
|
|
key = SimpleNamespace(id="key-1", proxy=None)
|
|
candidate = SimpleNamespace(
|
|
request_candidate_id="cand-1",
|
|
mapping_matched_model=None,
|
|
needs_conversion=False,
|
|
output_limit=None,
|
|
)
|
|
|
|
async def _fake_execute_stream(self: object, plan: object) -> ExecutionRuntimeStreamResult:
|
|
del plan
|
|
raise ExecutionRuntimeClientError("executor down")
|
|
|
|
async def _fake_get_upstream_client(*args: Any, **kwargs: Any) -> object:
|
|
raise AssertionError("python fallback should not be used")
|
|
|
|
monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_stream", _fake_execute_stream)
|
|
monkeypatch.setattr(
|
|
"src.clients.http_client.HTTPClientPool.get_upstream_client",
|
|
_fake_get_upstream_client,
|
|
)
|
|
|
|
with pytest.raises(ProviderNotAvailableException) as exc_info:
|
|
await handler._execute_stream_request(
|
|
ctx,
|
|
object(),
|
|
provider,
|
|
endpoint,
|
|
key,
|
|
{"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
|
|
{},
|
|
candidate=candidate,
|
|
)
|
|
|
|
assert exc_info.value.message == "执行器暂时不可用，请稍后重试"
|
|
assert exc_info.value.upstream_response == "executor down"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_execute_stream_request_raises_when_remote_contract_is_ineligible(
|
|
monkeypatch: pytest.MonkeyPatch,
|
|
) -> None:
|
|
_patch_stream_setup(monkeypatch)
|
|
monkeypatch.setattr(chatmod.config, "executor_backend", "rust")
|
|
|
|
handler = _DummyChatHandler()
|
|
ctx = StreamContext(model="gpt-test", api_format="openai:chat")
|
|
ctx.client_api_format = "openai:chat"
|
|
|
|
provider = SimpleNamespace(name="provider", id="provider-1", provider_type="", proxy=None)
|
|
endpoint = SimpleNamespace(id="endpoint-1", api_format="openai:chat", base_url="https://x")
|
|
key = SimpleNamespace(id="key-1", proxy=None)
|
|
candidate = SimpleNamespace(
|
|
request_candidate_id="cand-1",
|
|
mapping_matched_model=None,
|
|
needs_conversion=False,
|
|
output_limit=None,
|
|
)
|
|
|
|
async def _should_not_call_rust(self: object, plan: object) -> ExecutionRuntimeStreamResult:
|
|
del self, plan
|
|
raise AssertionError("rust executor should not be called")
|
|
|
|
async def _fake_get_upstream_client(*args: Any, **kwargs: Any) -> object:
|
|
raise AssertionError("python fallback should not be used")
|
|
|
|
monkeypatch.setattr(chatmod, "is_remote_execution_runtime_contract_eligible", lambda plan: False)
|
|
monkeypatch.setattr(chatmod.ExecutionRuntimeClient, "execute_stream", _should_not_call_rust)
|
|
monkeypatch.setattr(
|
|
"src.clients.http_client.HTTPClientPool.get_upstream_client",
|
|
_fake_get_upstream_client,
|
|
)
|
|
|
|
with pytest.raises(ProviderNotAvailableException) as exc_info:
|
|
await handler._execute_stream_request(
|
|
ctx,
|
|
object(),
|
|
provider,
|
|
endpoint,
|
|
key,
|
|
{"model": "gpt-test", "messages": [{"role": "user", "content": "hello"}]},
|
|
{},
|
|
candidate=candidate,
|
|
)
|
|
|
|
assert exc_info.value.message == "执行器暂时不可用，请稍后重试"
|
|
assert exc_info.value.upstream_response == (
|
|
"execution contract is not eligible for rust executor"
|
|
)
|