milvus.py 1.6 KB

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  1. """Milvus 向量数据库后端 —— 基于 pymilvus
  2. 状态:未实现。init() 会抛出 NotImplementedError。
  3. """
  4. import logging
  5. from typing import Any, Optional
  6. from supply.infra.database.ports import VectorBackend
  7. logger = logging.getLogger(__name__)
  8. class MilvusBackend(VectorBackend):
  9. """Milvus 向量数据库异步后端"""
  10. def __init__(self, name: str, config: Any):
  11. super().__init__(name, config)
  12. self._client = None
  13. # ==================== 生命周期 ====================
  14. async def init(self) -> None:
  15. raise NotImplementedError(
  16. "MilvusBackend 尚未实现。需要安装 pymilvus 并完成连接初始化逻辑。"
  17. )
  18. async def close(self) -> None:
  19. if self._client is not None:
  20. self._client = None
  21. self._initialized = False
  22. async def health(self) -> bool:
  23. return False
  24. # ==================== 向量操作 ====================
  25. async def insert(
  26. self,
  27. collection: str,
  28. vectors: list[list[float]],
  29. metadata: Optional[list[dict]] = None,
  30. ) -> list[int]:
  31. raise NotImplementedError("MilvusBackend 尚未实现")
  32. async def search(
  33. self,
  34. collection: str,
  35. query_vectors: list[list[float]],
  36. top_k: int = 10,
  37. filter_expr: Optional[str] = None,
  38. ) -> list[list[dict]]:
  39. raise NotImplementedError("MilvusBackend 尚未实现")
  40. async def delete(
  41. self,
  42. collection: str,
  43. ids: list[int],
  44. ) -> int:
  45. raise NotImplementedError("MilvusBackend 尚未实现")