Soulter
78 lines
1.8 KiB
Python
78 lines
1.8 KiB
Python
import abc
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from dataclasses import dataclass
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@dataclass
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class Result:
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similarity: float
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data: dict
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class BaseVecDB:
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async def initialize(self):
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"""
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初始化向量数据库
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"""
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pass
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@abc.abstractmethod
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async def insert(
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self, content: str, metadata: dict | None = None, id: str | None = None
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) -> int:
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"""
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插入一条文本和其对应向量，自动生成 ID 并保持一致性。
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"""
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...
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@abc.abstractmethod
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async def insert_batch(
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self,
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contents: list[str],
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metadatas: list[dict] | None = None,
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ids: list[str] | None = None,
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batch_size: int = 32,
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tasks_limit: int = 3,
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max_retries: int = 3,
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progress_callback=None,
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) -> int:
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"""
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批量插入文本和其对应向量，自动生成 ID 并保持一致性。
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Args:
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progress_callback: 进度回调函数，接收参数 (current, total)
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"""
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...
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@abc.abstractmethod
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async def retrieve(
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self,
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query: str,
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top_k: int = 5,
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fetch_k: int = 20,
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rerank: bool = False,
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metadata_filters: dict | None = None,
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) -> list[Result]:
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"""
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搜索最相似的文档。
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Args:
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query (str): 查询文本
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top_k (int): 返回的最相似文档的数量
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Returns:
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List[Result]: 查询结果
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"""
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...
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@abc.abstractmethod
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async def delete(self, doc_id: str) -> bool:
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"""
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删除指定文档。
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Args:
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doc_id (str): 要删除的文档 ID
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Returns:
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bool: 删除是否成功
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"""
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...
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@abc.abstractmethod
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async def close(self): ...
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