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group_fqcd_jr/tests/unit/infrastructure/test_milvus_profile_projection.py
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张胜宇 9675df8453 chore(sync): zsy_developcc 全量同步至 qyqy_develop(W26 口径)
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"""`MilvusProfileProjection` 的定向测试。
前 4 个用例移植自同事 `ZSY_develop` 的
`tests/unit/infrastructure/test_milvus_profile_projection.py`;
后 4 个覆盖本仓对其做的**两处契约放宽**(`customer_id` 兼容字符串、
不可投影键跳过而非整批失败)与脱敏,这些是移植时必须钉住的差异点。
"""
from uuid import uuid4
import pytest
from app.core.errors import RecoverableAgentError
from app.infrastructure.milvus_profile_projection import MilvusProfileProjection
class FakeMilvus:
def __init__(self, existing: list[dict[str, object]] | None = None) -> None:
self.existing = existing or []
self.queries: list[dict[str, object]] = []
self.upserts: list[dict[str, object]] = []
async def query(self, **kwargs: object) -> list[dict[str, object]]:
self.queries.append(kwargs)
return self.existing
async def upsert(self, **kwargs: object) -> None:
self.upserts.append(kwargs)
def payload() -> dict[str, object]:
return {
"customer_id": 7,
"profile_version": 1,
"memory_sources": [{
"memory_uuid": str(uuid4()),
"memory_key": "preference:risk_level",
"content": "稳健型",
"memory_type": "preference",
"confidence": 0.9,
"version": 2,
"valid_until": None,
}],
}
def _source(data: dict[str, object]) -> dict[str, object]:
sources = data["memory_sources"]
assert isinstance(sources, list)
source = sources[0]
assert isinstance(source, dict)
return source
@pytest.mark.asyncio
async def test_upsert_writes_schema_fields_and_vector() -> None:
client = FakeMilvus()
projection = MilvusProfileProjection(client, _embed)
await projection.upsert(payload())
assert len(client.upserts) == 1
row = client.upserts[0]["data"][0]
assert row["customer_id"] == 7
assert row["status"] == "active"
assert len(row["embedding"]) == 1024
@pytest.mark.asyncio
async def test_lower_memory_version_is_not_overwritten() -> None:
data = payload()
memory_uuid = _source(data)["memory_uuid"]
client = FakeMilvus(existing=[{
"memory_uuid": memory_uuid, "customer_id": 7, "version": 3,
}])
await MilvusProfileProjection(client, _embed).upsert(data)
assert client.upserts == []
@pytest.mark.asyncio
async def test_embedding_dimension_is_enforced() -> None:
with pytest.raises(RecoverableAgentError, match="维度"):
await MilvusProfileProjection(client=FakeMilvus(), embed=_embed_short).upsert(
payload()
)
@pytest.mark.asyncio
async def test_non_uuid_memory_id_is_rejected() -> None:
data = payload()
_source(data)["memory_uuid"] = "unsafe\" or true"
with pytest.raises(ValueError, match="memory_uuid"):
await MilvusProfileProjection(FakeMilvus(), _embed).upsert(data)
# --- 本仓放宽的契约(移植差异点) -------------------------------------------
@pytest.mark.asyncio
async def test_string_customer_id_is_accepted() -> None:
"""本仓三处生产者写的都是 `str(customer_id)`;不接受字符串则事件必然全部失败。"""
data = payload()
data["customer_id"] = "9102"
client = FakeMilvus()
await MilvusProfileProjection(client, _embed).upsert(data)
assert client.upserts[0]["data"][0]["customer_id"] == 9102
@pytest.mark.asyncio
async def test_non_numeric_customer_id_is_rejected() -> None:
"""放宽不等于不校验:uuid 之类的非数字串必须拒绝,不能当成客户号写进向量库。"""
data = payload()
data["customer_id"] = "957c0552-7fa2-4f2a-924d-d2d2e133b245"
with pytest.raises(ValueError, match="customer_id"):
await MilvusProfileProjection(FakeMilvus(), _embed).upsert(data)
@pytest.mark.asyncio
async def test_version_key_fallback_is_supported() -> None:
"""本仓生产端 payload 用 `version`;适配器契约用 `profile_version`。两个都要认。"""
data = payload()
del data["profile_version"]
data["version"] = 5
client = FakeMilvus()
await MilvusProfileProjection(client, _embed).upsert(data)
assert len(client.upserts) == 1
@pytest.mark.asyncio
async def test_non_projectable_memory_key_is_skipped_not_fatal() -> None:
"""`constraint:*` / `profile:*` 不在可投影前缀内。
关键:一条不可投影的键**不得**毒死同一客户其余可投影记忆。
"""
data = payload()
good = _source(data)
data["memory_sources"] = [
{
"memory_uuid": str(uuid4()),
"memory_key": "constraint:liquidity",
"content": "半年内需要流动性",
"memory_type": "constraint",
"confidence": 0.8,
"version": 1,
"valid_until": None,
},
good,
]
client = FakeMilvus()
await MilvusProfileProjection(client, _embed).upsert(data)
assert len(client.upserts) == 1
rows = client.upserts[0]["data"]
assert [row["memory_key"] for row in rows] == ["preference:risk_level"]
@pytest.mark.asyncio
async def test_all_keys_non_projectable_writes_nothing() -> None:
"""全部不可投影时不写 Milvus,但也不报错(不是失败,是无需投影)。"""
data = payload()
_source(data)["memory_key"] = "profile:occupation"
client = FakeMilvus()
await MilvusProfileProjection(client, _embed).upsert(data)
assert client.upserts == []
@pytest.mark.asyncio
async def test_sensitive_credentials_are_sanitized_before_write() -> None:
"""落外部存储前必须脱敏:手机号不得原样写进向量库。"""
data = payload()
_source(data)["content"] = "我的手机号是 13800138000,稳健型"
client = FakeMilvus()
await MilvusProfileProjection(client, _embed).upsert(data)
content = client.upserts[0]["data"][0]["content"]
assert "13800138000" not in content
assert "[手机号已隐藏]" in content
def _vector(size: int = 1024) -> list[float]:
return [0.0] * size
async def _embed(_: str) -> list[float]:
return _vector()
async def _embed_short(_: str) -> list[float]:
return _vector(3)