Files
hunjing/backend/app/ai_provider/reranker/__init__.py
T
2026-08-21 16:00:13 +08:00

136 lines
4.4 KiB
Python

"""重排序服务 — Reranker 适配器外观。
用法::
from app.ai_provider.reranker import RerankerService
service = RerankerService(manager)
result = await service.rerank("查询", ["文档1", "文档2"])
"""
from __future__ import annotations
from app.ai_provider.reranker.base import (
RerankerProtocol,
RerankerServiceError,
RerankRequest,
RerankResponse,
RerankResult,
)
from app.ai_provider.types.errors import AIProviderError
class RerankerService:
"""外观类,负责解析 Reranker 模型并委托给 ProviderManager。
接受 ProviderManager 或实现了以下接口的适配器:
- ``.model_registry`` → 具有 ``list_by_capability(capability)`` 方法
- ``.create_reranker(name)`` → 返回 RerankerProtocol 实例
"""
def __init__(self, manager) -> None:
self._manager = manager
self._adapter: RerankerProtocol | None = None
# ── Registry 兼容适配 ─────────────────────────────────────────
@property
def _registry(self):
mgr = self._manager
if hasattr(mgr, "model_registry"):
return mgr.model_registry
return mgr
@property
def _factory(self):
mgr = self._manager
if hasattr(mgr, "create_reranker"):
return mgr
return None
# ── Reranker ───────────────────────────────────────────────────
@property
def adapter(self) -> RerankerProtocol:
"""解析并缓存 Reranker 适配器。"""
if self._adapter is None:
self._adapter = self._resolve()
return self._adapter
async def rerank(
self,
query: str,
documents: list[str],
model_hint: str | None = None,
top_n: int | None = None,
) -> RerankResponse:
"""快捷方法:构造请求并调用 Reranker 适配器。"""
model = self._resolve_model_name(model_hint)
request = RerankRequest(
query=query,
documents=documents,
model=model,
top_n=top_n,
)
return await self.adapter.rerank(request)
# ── 解析 ───────────────────────────────────────────────────────
def _resolve(self) -> RerankerProtocol:
"""查找第一个活跃的 Reranker 模型并通过工厂创建。"""
models = self._list_capability_models("reranker")
if not models:
raise AIProviderError(
status_code=503,
code="reranker_no_model",
message="No reranker model configured in the model registry.",
)
factory = self._factory
if factory is None:
raise AIProviderError(
status_code=501,
code="reranker_no_factory",
message="Reranker adapter factory not available (provider manager missing create_reranker).",
)
return factory.create_reranker(models[0].name)
def _resolve_model_name(self, model_hint: str | None) -> str:
models = self._list_capability_models("reranker")
if model_hint:
return model_hint
if models:
return models[0].name
return ""
def _list_capability_models(self, tag: str):
reg = self._registry
if hasattr(reg, "list_capability_models"):
return reg.list_capability_models(tag)
if hasattr(reg, "list_by_capability"):
return reg.list_by_capability(tag)
return []
# ── 生命周期 ────────────────────────────────────────────────────
async def close(self) -> None:
if self._adapter is not None:
close = getattr(self._adapter, "close", None)
if close is not None:
await close()
async def __aenter__(self) -> RerankerService:
return self
async def __aexit__(self, *exc_info: object) -> None:
await self.close()
__all__ = [
"RerankerProtocol",
"RerankRequest",
"RerankResponse",
"RerankResult",
"RerankerService",
"RerankerServiceError",
]