iomgaa
82f4ec4910
enable_thinking=False was a no-op for minimax and openai sources: both profiles had empty dicts on each side, so the payload update injected nothing while the caller believed reasoning had been turned off. A downstream project was blocked on exactly this. The root cause is that an empty dict meant two different things -- "no injection needed" and "we do not know how this provider spells it" -- and that a provider-level table cannot express what turned out to be a per-model property. Live testing showed MiniMax-M3 can disable reasoning via reasoning_effort while M2.7 and M2.5 cannot be disabled at all, which two external registries independently confirm. So the shape stays at provider level and a capability table joins it at model level. Unknown, unsupported and no-opinion are now three distinct values, and resolve_thinking is the single place they meet: it raises at assembly time when a model cannot honour the request, warns and injects for unregistered models, and injects silently otherwise. Every registered capability carries the evidence it was derived from. enable_thinking also joins the cache fingerprint, since it now really does change the request body.
663 lines
25 KiB
Python
663 lines
25 KiB
Python
"""OpenAICompatTransport 测试(M1 设计 §4.4/§6):SSE 解析、错误翻译、缺 DONE 语义。
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SSE 帧样本按三项目真实网关响应形态二次构造(OpenAI 兼容 chunk 结构)。
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"""
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import json
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import httpx
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import pytest
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from polygateway.errors import (
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RequestRejectedError,
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SourceDeadError,
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TransientError,
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)
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from polygateway.middleware.telemetry import TelemetryEmitter
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from polygateway.pricing import ModelPrice, PricingTable
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from polygateway.transports.openai_compat import (
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OpenAICompatTransport,
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_iter_sse_deltas,
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_sse_data_payload,
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)
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from polygateway.types import ChatRequest, LLMResponse, SourceConfig
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def _source(**overrides):
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base = {
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"name": "qwen_1",
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"provider": "qwen",
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"base_url": "https://gw.example/v1",
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"api_key": "sk-test",
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"model": "qwen-max",
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"timeout_s": 5.0,
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}
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base.update(overrides)
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return SourceConfig(**base)
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def _chunk(content=None, reasoning=None, usage=None, model=None):
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delta = {}
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if content is not None:
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delta["content"] = content
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if reasoning is not None:
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delta["reasoning_content"] = reasoning
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body = {"choices": [{"delta": delta}]} if (delta or usage is None) else {"choices": []}
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if usage is not None:
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body["usage"] = usage
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if model is not None:
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body["model"] = model
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return f"data: {json.dumps(body)}\n\n"
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_USAGE = {"prompt_tokens": 11, "completion_tokens": 7}
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def _sse_stream(*frames, done=True):
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text = "".join(frames) + ("data: [DONE]\n\n" if done else "")
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return httpx.Response(200, content=text.encode(), headers={"content-type": "text/event-stream"})
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def _transport_for(handler):
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mock = httpx.MockTransport(handler)
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return OpenAICompatTransport(
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client_factory=lambda src: httpx.AsyncClient(base_url=src.base_url, transport=mock)
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)
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async def _complete(transport, source, *, stream=True, overlay=None):
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return await transport.complete(
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messages=[{"role": "user", "content": "hi"}],
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source=source,
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stream=stream,
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overlay=overlay or {},
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call_id="cid-1",
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)
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# 单价刻意取"输出贵于输入"的真实形态: est_tokens 兜底把整估值塞进 completion
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# 时,虚高才显形(设计 §1 的 26 倍算例即此单价)。
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_PRICING = PricingTable({"qwen-max": ModelPrice(input_per_1m=1.0, output_per_1m=8.0)})
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class _MemoryRecorder:
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def __init__(self):
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self.rows = []
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async def record_llm_call(self, **fields):
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self.rows.append(fields)
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async def _recorded_cost(result, source):
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"""把 transport 产物走一遍真实计费路径,返回落库的 cost。
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`unavailable` → cost=None 的判定在 `TelemetryEmitter` 里(设计 §3.2 #5),
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直接调 `PricingTable.cost` 对 `0/0` 只会得到 `0.0`——那正是本组用例要防的
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假金额,故断言必须穿过 emitter 而不是单测 pricing。
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"""
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recorder = _MemoryRecorder()
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response = LLMResponse(
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content=result.content,
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thinking=result.thinking,
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model=source.model,
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provider=source.provider,
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prompt_tokens=result.prompt_tokens,
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completion_tokens=result.completion_tokens,
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latency_ms=1,
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ttft_ms=result.ttft_ms,
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max_inter_token_ms=result.max_inter_token_ms,
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cache_hit=False,
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call_id="cid-1",
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source_name=source.name,
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usage_source=result.usage_source,
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)
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await TelemetryEmitter(recorder, pricing=_PRICING).emit_attempt(
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request=ChatRequest(messages=[{"role": "user", "content": "hi"}]),
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source=source,
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call_id="cid-1",
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latency_ms=1,
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response=response,
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error=None,
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)
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return recorder.rows[0]["cost"]
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class TestSsePureFunctions:
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def test_data_payload_filters_noise(self):
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assert _sse_data_payload("") is None
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assert _sse_data_payload(": ping") is None
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assert _sse_data_payload("event: x") is None
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assert _sse_data_payload("data: {}") == "{}"
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assert _sse_data_payload("data: [DONE]") == "[DONE]"
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async def test_iter_deltas_yields_and_flags_done(self):
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async def lines():
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for raw in [
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_chunk(content="he"),
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": ping",
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_chunk(reasoning="think"),
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_chunk(usage=_USAGE),
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"data: [DONE]",
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]:
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for line in raw.splitlines():
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yield line
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sink = {}
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out = [d async for d in _iter_sse_deltas(lines(), sink)]
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assert out == [(True, "he"), (False, "think")]
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assert sink["done"] is True and sink["usage"] == _USAGE
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async def test_malformed_frame_raises_transient(self):
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async def lines():
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yield "data: {not-json"
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with pytest.raises(TransientError, match="malformed"):
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_ = [d async for d in _iter_sse_deltas(lines(), {})]
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class TestStreamHappyPath:
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async def test_full_stream_with_usage(self):
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def handler(request):
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return _sse_stream(
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_chunk(reasoning="ponder"),
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_chunk(content="hello"),
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_chunk(content=" world"),
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_chunk(usage=_USAGE),
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)
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result = await _complete(_transport_for(handler), _source())
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assert result.content == "hello world"
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assert result.thinking == "ponder"
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assert result.prompt_tokens == 11 and result.completion_tokens == 7
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assert result.usage_source == "measured"
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assert result.ttft_ms is not None and result.ttft_ms >= 0
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async def test_qwen_think_tag_stripped(self):
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def handler(request):
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return _sse_stream(_chunk(content="<think>hmm</think>answer"), _chunk(usage=_USAGE))
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result = await _complete(_transport_for(handler), _source())
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assert result.content == "answer"
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assert result.thinking == "hmm"
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async def test_usage_missing_is_unavailable_with_null_cost(self):
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"""usage 帧缺失 → 0/0 + unavailable + cost NULL(设计 §3.2 #3)。
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改前拿 `est_tokens` 当实测并整估值塞 completion,同一条调用记成
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`0/4000` → cost 0.032(设计 §1 的 26 倍虚高)。
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"""
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def handler(request):
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return _sse_stream(_chunk(content="ok"))
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source = _source(tpm=1000, est_tokens=4000)
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result = await _complete(_transport_for(handler), source)
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assert result.usage_source == "unavailable"
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assert result.prompt_tokens == 0 and result.completion_tokens == 0
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assert await _recorded_cost(result, source) is None
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class TestMissingDoneSemantics:
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def _no_done_handler(self, request):
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return _sse_stream(_chunk(content="partial"), _chunk(usage=_USAGE), done=False)
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async def test_default_retry_policy_raises_transient(self):
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with pytest.raises(TransientError, match="missing_done|truncated"):
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await _complete(_transport_for(self._no_done_handler), _source())
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async def test_salvage_with_usage_frame_degrades_to_estimated(self):
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"""打捞且收到 usage 帧: 数字真实、可信度降级 → estimated 且照常计费。"""
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source = _source(missing_done="salvage", tpm=1000, est_tokens=4000)
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result = await _complete(_transport_for(self._no_done_handler), source)
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assert result.content == "partial"
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assert result.usage_source == "estimated"
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assert result.prompt_tokens == 11 and result.completion_tokens == 7
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assert await _recorded_cost(result, source) == pytest.approx(
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11 / 1_000_000 * 1.0 + 7 / 1_000_000 * 8.0
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)
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async def test_salvage_without_usage_frame_stays_unavailable(self):
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"""打捞且 usage 帧缺失: 0/0 不得被洗成 estimated,否则算出假的 0.0(设计 §3.2 #4)。"""
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def handler(request):
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return _sse_stream(_chunk(content="partial"), done=False)
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source = _source(missing_done="salvage", tpm=1000, est_tokens=4000)
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result = await _complete(_transport_for(handler), source)
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assert result.content == "partial"
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assert result.usage_source == "unavailable"
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assert await _recorded_cost(result, source) is None
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async def test_early_eof_always_transient_even_under_salvage(self):
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def handler(request):
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return _sse_stream(done=False) # 零内容提前断流
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with pytest.raises(TransientError, match="early_eof"):
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await _complete(_transport_for(handler), _source(missing_done="salvage"))
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class TestEmptyCompletion:
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"""空补全 → TransientError(2026-07-20 人类裁决;MiniMax 间歇形态,绝不缓存)。"""
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async def test_stream_zero_content_with_done_is_transient(self):
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def handler(request):
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return _sse_stream(_chunk(reasoning="only thinking"), _chunk(usage=_USAGE))
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with pytest.raises(TransientError, match="empty_completion"):
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await _complete(_transport_for(handler), _source())
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async def test_non_stream_empty_content_is_transient(self):
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def handler(request):
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return httpx.Response(
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200, json={"choices": [{"message": {"content": ""}}], "usage": _USAGE}
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)
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with pytest.raises(TransientError, match="empty_completion"):
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await _complete(_transport_for(handler), _source(), stream=False)
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async def test_think_only_content_after_strip_is_transient(self):
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def handler(request):
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return _sse_stream(_chunk(content="<think>hmm</think>"), _chunk(usage=_USAGE))
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with pytest.raises(TransientError, match="empty_completion"):
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await _complete(_transport_for(handler), _source())
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class TestObservabilityFields:
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"""issue #3: 供应商 prompt cache 命中数与 API 实际返回的模型版本串。
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网关报文一律不可信: 形态异常只归 None,绝不因一个可观测字段打断调用。
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"""
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def _cached_usage(self, cached):
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return {**_USAGE, "prompt_tokens_details": {"cached_tokens": cached}}
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async def test_stream_reads_cached_tokens(self):
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def handler(request):
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return _sse_stream(_chunk(content="ok"), _chunk(usage=self._cached_usage(128)))
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result = await _complete(_transport_for(handler), _source())
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assert result.cached_prompt_tokens == 128
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async def test_non_stream_reads_cached_tokens(self):
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def handler(request):
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return httpx.Response(
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200,
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json={
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"choices": [{"message": {"content": "42"}}],
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"usage": self._cached_usage(128),
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},
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)
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result = await _complete(_transport_for(handler), _source(), stream=False)
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assert result.cached_prompt_tokens == 128
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async def test_zero_cached_tokens_is_a_real_zero(self):
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"""0(真实零命中)与 None(该源未上报)必须可区分——issue #3 的核心诉求。"""
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def handler(request):
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return _sse_stream(_chunk(content="ok"), _chunk(usage=self._cached_usage(0)))
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result = await _complete(_transport_for(handler), _source())
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assert result.cached_prompt_tokens == 0
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async def test_usage_without_details_is_none(self):
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def handler(request):
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return _sse_stream(_chunk(content="ok"), _chunk(usage=_USAGE))
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result = await _complete(_transport_for(handler), _source())
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assert result.cached_prompt_tokens is None
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async def test_missing_usage_frame_is_none(self):
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def handler(request):
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return _sse_stream(_chunk(content="ok"))
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result = await _complete(_transport_for(handler), _source())
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assert result.cached_prompt_tokens is None
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@pytest.mark.parametrize("bad", ["abc", -1, True, 1.5, None, [], {"x": 1}])
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async def test_malformed_cached_tokens_degrade_to_none(self, bad):
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"""`True` 必须排除: Python 里 isinstance(True, int) 为真。"""
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def handler(request):
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return _sse_stream(_chunk(content="ok"), _chunk(usage=self._cached_usage(bad)))
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result = await _complete(_transport_for(handler), _source())
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assert result.cached_prompt_tokens is None
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async def test_details_not_a_dict_is_none(self):
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def handler(request):
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usage = {**_USAGE, "prompt_tokens_details": "oops"}
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return _sse_stream(_chunk(content="ok"), _chunk(usage=usage))
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result = await _complete(_transport_for(handler), _source())
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assert result.cached_prompt_tokens is None
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async def test_non_stream_reads_reported_model(self):
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def handler(request):
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return httpx.Response(
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200,
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json={
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"choices": [{"message": {"content": "42"}}],
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"usage": _USAGE,
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"model": "MiniMax-Text-01-250321",
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},
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)
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result = await _complete(_transport_for(handler), _source(), stream=False)
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assert result.model_reported == "MiniMax-Text-01-250321"
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async def test_stream_keeps_the_first_reported_model(self):
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"""末帧异常值不得覆盖首帧: 首次写入即固定。"""
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def handler(request):
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return _sse_stream(
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_chunk(content="a", model="MiniMax-Text-01-250321"),
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_chunk(content="b", model="something-else"),
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_chunk(usage=_USAGE),
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)
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result = await _complete(_transport_for(handler), _source())
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assert result.model_reported == "MiniMax-Text-01-250321"
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async def test_empty_first_model_does_not_block_a_later_real_one(self):
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"""首帧报空串不得锁死 sink: 守卫按"有效值"判断,否则真实版本会丢。"""
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def handler(request):
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return _sse_stream(
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_chunk(content="a", model=""),
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_chunk(content="b", model="MiniMax-Text-01-250321"),
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_chunk(usage=_USAGE),
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)
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result = await _complete(_transport_for(handler), _source())
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assert result.model_reported == "MiniMax-Text-01-250321"
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@pytest.mark.parametrize("bad", [None, "", " ", 123, {}])
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async def test_missing_or_malformed_model_is_none(self, bad):
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def handler(request):
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body = {"choices": [{"message": {"content": "42"}}], "usage": _USAGE}
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if bad is not None:
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body["model"] = bad
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return httpx.Response(200, json=body)
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result = await _complete(_transport_for(handler), _source(), stream=False)
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assert result.model_reported is None
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async def test_raw_payload_is_unchanged(self):
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"""新字段是独立格子,不改动 raw 的既有内容。"""
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def handler(request):
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return _sse_stream(_chunk(content="ok"), _chunk(usage=self._cached_usage(5)))
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result = await _complete(_transport_for(handler), _source())
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assert set(result.raw) == {"usage"}
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class TestReasoningTokens:
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"""issue #6: 推理消耗的输出 token,与 issue #3 的 cached_tokens 对称。
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实测三家供应商在"未推理"时是整个 completion_tokens_details 缺失,无人上报
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0;且中转在上游不返回 usage 时会本地补算并吃掉该对象。故 None 的语义是
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"本次调用未上报",不是"该源不上报"(findings §4c)。
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"""
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def _reasoning_usage(self, reasoning):
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return {**_USAGE, "completion_tokens_details": {"reasoning_tokens": reasoning}}
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async def test_stream_reads_reasoning_tokens(self):
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def handler(request):
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return _sse_stream(_chunk(content="ok"), _chunk(usage=self._reasoning_usage(7)))
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result = await _complete(_transport_for(handler), _source())
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assert result.reasoning_tokens == 7
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async def test_non_stream_reads_reasoning_tokens(self):
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def handler(request):
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return httpx.Response(
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200,
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json={
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"choices": [{"message": {"content": "42"}}],
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"usage": self._reasoning_usage(7),
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},
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)
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result = await _complete(_transport_for(handler), _source(), stream=False)
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assert result.reasoning_tokens == 7
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async def test_zero_reasoning_tokens_is_a_real_zero(self):
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"""0(上报了且确实没推理)与 None(本次未上报)必须可区分。"""
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def handler(request):
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return _sse_stream(_chunk(content="ok"), _chunk(usage=self._reasoning_usage(0)))
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result = await _complete(_transport_for(handler), _source())
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assert result.reasoning_tokens == 0
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async def test_usage_without_details_is_none(self):
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def handler(request):
|
|
return _sse_stream(_chunk(content="ok"), _chunk(usage=_USAGE))
|
|
|
|
result = await _complete(_transport_for(handler), _source())
|
|
assert result.reasoning_tokens is None
|
|
|
|
@pytest.mark.parametrize("bad", ["abc", -1, True, 1.5, None, [], {"x": 1}])
|
|
async def test_malformed_reasoning_tokens_degrade_to_none(self, bad):
|
|
"""`True` 必须排除: Python 里 isinstance(True, int) 为真。"""
|
|
|
|
def handler(request):
|
|
return _sse_stream(_chunk(content="ok"), _chunk(usage=self._reasoning_usage(bad)))
|
|
|
|
result = await _complete(_transport_for(handler), _source())
|
|
assert result.reasoning_tokens is None
|
|
|
|
async def test_details_not_a_dict_is_none(self):
|
|
def handler(request):
|
|
usage = {**_USAGE, "completion_tokens_details": "oops"}
|
|
return _sse_stream(_chunk(content="ok"), _chunk(usage=usage))
|
|
|
|
result = await _complete(_transport_for(handler), _source())
|
|
assert result.reasoning_tokens is None
|
|
|
|
async def test_salvage_path_records_none_not_zero(self):
|
|
"""打捞路径拿不到 usage 帧: 记 None(未知)而非 0(确定没推理)。"""
|
|
|
|
def handler(request):
|
|
return _sse_stream(_chunk(content="ok"), done=False)
|
|
|
|
result = await _complete(_transport_for(handler), _source(missing_done="salvage"))
|
|
assert result.reasoning_tokens is None
|
|
|
|
|
|
class TestNonStreamFastPath:
|
|
async def test_non_stream_parses_message(self):
|
|
def handler(request):
|
|
body = json.loads(request.content)
|
|
assert body.get("stream") is False and "stream_options" not in body
|
|
return httpx.Response(
|
|
200,
|
|
json={
|
|
"choices": [{"message": {"content": "42", "reasoning_content": "count"}}],
|
|
"usage": _USAGE,
|
|
},
|
|
)
|
|
|
|
result = await _complete(_transport_for(handler), _source(), stream=False)
|
|
assert result.content == "42" and result.thinking == "count"
|
|
assert result.usage_source == "measured"
|
|
assert result.ttft_ms is None
|
|
|
|
|
|
class TestRequestShaping:
|
|
@pytest.mark.parametrize(
|
|
("enable_thinking", "expected"),
|
|
[(True, {"enable_thinking": True}), (False, {"enable_thinking": False}), (None, {})],
|
|
)
|
|
async def test_thinking_tri_state_injection(self, enable_thinking, expected):
|
|
seen = {}
|
|
|
|
def handler(request):
|
|
seen.update(json.loads(request.content))
|
|
return _sse_stream(_chunk(content="x"), _chunk(usage=_USAGE))
|
|
|
|
await _complete(_transport_for(handler), _source(enable_thinking=enable_thinking))
|
|
assert {k: seen[k] for k in expected} == expected
|
|
if enable_thinking is None:
|
|
assert "enable_thinking" not in seen
|
|
assert seen["stream_options"] == {"include_usage": True}
|
|
|
|
@pytest.mark.parametrize(
|
|
("enable_thinking", "expected"),
|
|
[(True, "medium"), (False, "none")],
|
|
)
|
|
async def test_minimax_injects_reasoning_effort(self, enable_thinking, expected):
|
|
"""issue #5: MiniMax 认的是 reasoning_effort,不是 enable_thinking。"""
|
|
seen = {}
|
|
|
|
def handler(request):
|
|
seen.update(json.loads(request.content))
|
|
return _sse_stream(_chunk(content="x"), _chunk(usage=_USAGE))
|
|
|
|
source = _source(
|
|
name="mm", provider="minimax", model="MiniMax-M3", enable_thinking=enable_thinking
|
|
)
|
|
await _complete(_transport_for(handler), source)
|
|
assert seen["reasoning_effort"] == expected
|
|
assert "enable_thinking" not in seen # 旧形态实测被静默丢弃,不再下发
|
|
|
|
async def test_extra_body_overrides_the_profile_slot(self):
|
|
"""注入顺序即优先级: profile → extra_body → overlay,两行不可调换。"""
|
|
seen = {}
|
|
|
|
def handler(request):
|
|
seen.update(json.loads(request.content))
|
|
return _sse_stream(_chunk(content="x"), _chunk(usage=_USAGE))
|
|
|
|
source = _source(
|
|
name="mm",
|
|
provider="minimax",
|
|
model="MiniMax-M3",
|
|
enable_thinking=True,
|
|
extra_body={"reasoning_effort": "high"},
|
|
)
|
|
await _complete(_transport_for(handler), source)
|
|
assert seen["reasoning_effort"] == "high"
|
|
|
|
async def test_model_that_cannot_disable_is_rejected_not_silently_ignored(self):
|
|
"""M2.x 关不掉推理: 必须是四分类之一的 RequestRejected,不是裸 ValueError。
|
|
|
|
裸异常会逃出 chat() —— 它不属错误四分类、TelemetryMW 也不捕,结果是一行
|
|
遥测都没有就崩了(设计 §5.1)。
|
|
"""
|
|
|
|
def handler(request): # pragma: no cover - 不该走到发请求
|
|
raise AssertionError("请求不该发出")
|
|
|
|
source = _source(name="mm", provider="minimax", model="MiniMax-M2.7", enable_thinking=False)
|
|
with pytest.raises(RequestRejectedError, match="MiniMax-M2.7"):
|
|
await _complete(_transport_for(handler), source)
|
|
|
|
async def test_unknown_shape_is_rejected(self):
|
|
def handler(request): # pragma: no cover - 不该走到发请求
|
|
raise AssertionError("请求不该发出")
|
|
|
|
source = _source(name="k3", provider="openai", model="kimi-k3", enable_thinking=False)
|
|
with pytest.raises(RequestRejectedError, match="register_provider"):
|
|
await _complete(_transport_for(handler), source)
|
|
|
|
async def test_overlay_merged_into_payload(self):
|
|
seen = {}
|
|
|
|
def handler(request):
|
|
seen.update(json.loads(request.content))
|
|
return _sse_stream(_chunk(content="x"), _chunk(usage=_USAGE))
|
|
|
|
await _complete(
|
|
_transport_for(handler),
|
|
_source(),
|
|
overlay={"response_format": {"type": "json_object"}},
|
|
)
|
|
assert seen["response_format"] == {"type": "json_object"}
|
|
|
|
async def test_extra_body_merged_and_outranked_by_overlay(self):
|
|
"""顺序即优先级: thinking profile → extra_body → overlay(issue #4)。"""
|
|
seen = {}
|
|
|
|
def handler(request):
|
|
seen.update(json.loads(request.content))
|
|
return _sse_stream(_chunk(content="x"), _chunk(usage=_USAGE))
|
|
|
|
await _complete(
|
|
_transport_for(handler),
|
|
_source(extra_body={"temperature": 0, "top_p": 0.9}),
|
|
overlay={"temperature": 1},
|
|
)
|
|
assert seen["temperature"] == 1 # 调用级覆盖配置级
|
|
assert seen["top_p"] == 0.9 # 未被顶掉的配置级键保留
|
|
|
|
async def test_extra_body_cannot_break_governed_keys(self):
|
|
"""治理键由 payload 骨架拥有;extra_body 的保护键在构造期已被拦下。"""
|
|
with pytest.raises(ValueError, match="stream"):
|
|
_source(extra_body={"stream": False})
|
|
|
|
|
|
class TestErrorTranslation:
|
|
@pytest.mark.parametrize(
|
|
("status", "body", "headers", "exc", "match"),
|
|
[
|
|
(401, "{}", {}, SourceDeadError, None),
|
|
(403, "{}", {}, SourceDeadError, None),
|
|
(400, "{}", {}, RequestRejectedError, None),
|
|
(418, "{}", {}, RequestRejectedError, None),
|
|
(500, "{}", {}, TransientError, None),
|
|
(503, "{}", {}, TransientError, None),
|
|
(429, json.dumps({"error": {"type": "insufficient_quota"}}), {}, SourceDeadError, None),
|
|
(429, "{}", {"retry-after": "2.5"}, TransientError, None),
|
|
],
|
|
)
|
|
async def test_status_translation(self, status, body, headers, exc, match):
|
|
def handler(request):
|
|
return httpx.Response(status, content=body.encode(), headers=headers)
|
|
|
|
with pytest.raises(exc) as ei:
|
|
await _complete(_transport_for(handler), _source())
|
|
assert ei.value.status_code == status
|
|
assert ei.value.source_name == "qwen_1"
|
|
if status == 429 and exc is TransientError:
|
|
assert ei.value.retry_after_s == 2.5
|
|
|
|
async def test_retry_after_http_date_ignored(self):
|
|
def handler(request):
|
|
return httpx.Response(
|
|
429, content=b"{}", headers={"retry-after": "Wed, 21 Oct 2026 07:28:00 GMT"}
|
|
)
|
|
|
|
with pytest.raises(TransientError) as ei:
|
|
await _complete(_transport_for(handler), _source())
|
|
assert ei.value.retry_after_s is None # 仅支持秒数形态(CHS 同款)
|
|
|
|
async def test_httpx_timeout_becomes_transient(self):
|
|
def handler(request):
|
|
raise httpx.ConnectTimeout("boom")
|
|
|
|
with pytest.raises(TransientError):
|
|
await _complete(_transport_for(handler), _source())
|
|
|
|
async def test_httpx_transport_error_becomes_transient(self):
|
|
def handler(request):
|
|
raise httpx.RemoteProtocolError("broken pipe")
|
|
|
|
with pytest.raises(TransientError):
|
|
await _complete(_transport_for(handler), _source())
|
|
|
|
|
|
class TestLifecycle:
|
|
async def test_aclose_idempotent(self):
|
|
def handler(request):
|
|
return _sse_stream(_chunk(content="x"), _chunk(usage=_USAGE))
|
|
|
|
transport = _transport_for(handler)
|
|
await _complete(transport, _source())
|
|
await transport.aclose()
|
|
await transport.aclose()
|