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chore: import upstream snapshot with attribution
2026-07-13 12:24:24 +08:00

210 lines
6.7 KiB
Python

"""DashScope rerank provider — URL/body shape, results parsing, retries."""
from __future__ import annotations
import json
from collections.abc import Callable
import httpx
import pytest
from everos.component.rerank import DashScopeRerankProvider, RerankError
def _patch_httpx(
monkeypatch: pytest.MonkeyPatch,
handler: Callable[[httpx.Request], httpx.Response],
) -> None:
transport = httpx.MockTransport(handler)
import everos.component.rerank.dashscope_provider as mod
real_cls = httpx.AsyncClient
def factory(*args: object, **kwargs: object) -> httpx.AsyncClient:
kwargs["transport"] = transport
return real_cls(*args, **kwargs) # type: ignore[arg-type]
monkeypatch.setattr(mod.httpx, "AsyncClient", factory)
def _ok_response(items: list[dict[str, float | int]]) -> httpx.Response:
return httpx.Response(200, json={"output": {"results": items}})
def test_only_gte_rerank_v2_is_supported() -> None:
with pytest.raises(ValueError, match="gte-rerank-v2 only"):
DashScopeRerankProvider(
model="qwen3-rerank",
api_key="k",
base_url="https://dashscope.aliyuncs.com",
)
async def test_empty_documents_short_circuits(monkeypatch: pytest.MonkeyPatch) -> None:
calls = 0
def handler(_req: httpx.Request) -> httpx.Response:
nonlocal calls
calls += 1
return _ok_response([])
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2", api_key="k", base_url="https://dashscope.aliyuncs.com"
)
assert await p.rerank("q", []) == []
assert calls == 0
async def test_url_body_and_sort_desc(monkeypatch: pytest.MonkeyPatch) -> None:
seen_urls: list[str] = []
seen_bodies: list[dict[str, object]] = []
def handler(req: httpx.Request) -> httpx.Response:
seen_urls.append(str(req.url))
seen_bodies.append(json.loads(req.content))
return _ok_response(
[
{"index": 0, "relevance_score": 0.1},
{"index": 1, "relevance_score": 0.9},
{"index": 2, "relevance_score": 0.5},
]
)
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2",
api_key="k",
base_url="https://dashscope.aliyuncs.com/",
)
results = await p.rerank("q", ["a", "b", "c"])
# Trailing slash stripped, native service path appended.
assert seen_urls == [
"https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank"
]
# Nested input/parameters body shape.
body = seen_bodies[0]
assert body["model"] == "gte-rerank-v2"
assert body["input"] == {"query": "q", "documents": ["a", "b", "c"]}
assert body["parameters"]["top_n"] == 3
assert [r.index for r in results] == [1, 2, 0]
async def test_auth_header_always_present(monkeypatch: pytest.MonkeyPatch) -> None:
seen_headers: list[dict[str, str]] = []
def handler(req: httpx.Request) -> httpx.Response:
seen_headers.append(dict(req.headers))
return _ok_response([{"index": 0, "relevance_score": 0.5}])
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2",
api_key="sk-abc",
base_url="https://dashscope.aliyuncs.com",
)
await p.rerank("q", ["a"])
assert seen_headers[0].get("authorization") == "Bearer sk-abc"
async def test_batching_offsets_indices(monkeypatch: pytest.MonkeyPatch) -> None:
"""With batch_size=2 and 3 docs, the second batch's result index 0 becomes 2."""
def handler(req: httpx.Request) -> httpx.Response:
body = json.loads(req.content)
docs = body["input"]["documents"]
return _ok_response(
[{"index": i, "relevance_score": float(i)} for i in range(len(docs))]
)
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2",
api_key="k",
base_url="https://dashscope.aliyuncs.com",
batch_size=2,
)
results = await p.rerank("q", ["a", "b", "c"])
assert sorted(r.index for r in results) == [0, 1, 2]
async def test_4xx_raises_immediately(monkeypatch: pytest.MonkeyPatch) -> None:
state = {"calls": 0}
def handler(_req: httpx.Request) -> httpx.Response:
state["calls"] += 1
return httpx.Response(401, text="unauthorized")
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2",
api_key="bad",
base_url="https://dashscope.aliyuncs.com",
max_retries=3,
)
with pytest.raises(RerankError, match="HTTP 401"):
await p.rerank("q", ["a"])
assert state["calls"] == 1
async def test_5xx_retries(monkeypatch: pytest.MonkeyPatch) -> None:
state = {"calls": 0}
def handler(_req: httpx.Request) -> httpx.Response:
state["calls"] += 1
if state["calls"] < 2:
return httpx.Response(503, text="unavailable")
return _ok_response([{"index": 0, "relevance_score": 0.42}])
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2",
api_key="k",
base_url="https://dashscope.aliyuncs.com",
max_retries=3,
)
results = await p.rerank("q", ["a"])
assert state["calls"] == 2
assert results[0].score == pytest.approx(0.42)
async def test_transport_error_exhausts(monkeypatch: pytest.MonkeyPatch) -> None:
def handler(_req: httpx.Request) -> httpx.Response:
raise httpx.ReadTimeout("timeout")
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2",
api_key="k",
base_url="https://dashscope.aliyuncs.com",
max_retries=1,
)
with pytest.raises(RerankError, match="transport failure"):
await p.rerank("q", ["a"])
async def test_malformed_results_missing_output(
monkeypatch: pytest.MonkeyPatch,
) -> None:
def handler(_req: httpx.Request) -> httpx.Response:
return httpx.Response(200, json={"usage": {}})
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2", api_key="k", base_url="https://dashscope.aliyuncs.com"
)
with pytest.raises(RerankError, match="missing results"):
await p.rerank("q", ["a"])
async def test_malformed_result_entry(monkeypatch: pytest.MonkeyPatch) -> None:
def handler(_req: httpx.Request) -> httpx.Response:
return httpx.Response(200, json={"output": {"results": [{"index": 0}]}})
_patch_httpx(monkeypatch, handler)
p = DashScopeRerankProvider(
model="gte-rerank-v2", api_key="k", base_url="https://dashscope.aliyuncs.com"
)
with pytest.raises(RerankError, match="malformed rerank result"):
await p.rerank("q", ["a"])