"""
-------------------------------------------------------------------------
This file is part of the RAGSDK project.
Copyright (c) 2025 Huawei Technologies Co.,Ltd.
RAGSDK is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
See the Mulan PSL v2 for more details.
-------------------------------------------------------------------------
"""
from typing import List, Optional, Dict
import numpy as np
from mx_rag.reranker.reranker import Reranker
from mx_rag.storage.vectorstore import VectorStore
class MockerReranker(Reranker):
def rerank(self, query: str, texts: List[str], batch_size: int = 1):
return [1] if query.lower() == texts[0].lower() else [0]
class MockerVecStorage(VectorStore):
def update(self, vec_ids: List[int], dense: Optional[np.ndarray] = None,
sparse: Optional[List[Dict[int, float]]] = None):
pass
def delete(self, ids):
pass
def search(self, embeddings, k, filter_dict=None):
pass
def add(self, embeddings, ids, document_id):
pass
def add_sparse(self, ids, sparse_embeddings):
pass
def add_dense_and_sparse(self, ids, dense_embeddings, sparse_embeddings, document_id=0):
pass
def get_ntotal(self) -> int:
return 10
def get_all_ids(self) -> List[int]:
return [0]
