"""Qdrant 向量知识库模块 (M6)。

公共 API:
    - VectorStore: Qdrant 封装（init / upsert / query / info / count）
    - SearchFilter / SearchResult / CollectionInfo: 数据模型
    - make_qdrant_client: 工厂（内存/本地文件/远程 HTTP）
    - ingest_all_embeddings / search_news / get_collection_info: 管道
"""

from vectorstore.client import (
    DEFAULT_COLLECTION,
    DEFAULT_VECTOR_DIM,
    VectorStore,
    make_qdrant_client,
)
from vectorstore.models import CollectionInfo, SearchFilter, SearchResult
from vectorstore.pipeline import (
    get_collection_info,
    ingest_all_embeddings,
    search_news,
)

__all__ = [
    # 客户端
    "DEFAULT_COLLECTION",
    "DEFAULT_VECTOR_DIM",
    "VectorStore",
    "make_qdrant_client",
    # 模型
    "CollectionInfo",
    "SearchFilter",
    "SearchResult",
    # 管道
    "get_collection_info",
    "ingest_all_embeddings",
    "search_news",
]