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# | |
# Pyserini: Reproducible IR research with sparse and dense representations | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# | |
import os | |
from elasticsearch import Elasticsearch | |
from elasticsearch.helpers import streaming_bulk | |
from tqdm import tqdm | |
import faiss | |
INDEX_NAME = "es-hnsw" | |
MSMARCO_PATH = '<path-to>/dindex-msmarco-passage-sbert-bf-20210313-a0fbb3/' | |
bf_index = faiss.read_index(os.path.join(MSMARCO_PATH, 'index')) | |
vectors = bf_index.reconstruct_n(0, bf_index.ntotal) | |
docids = [x.rstrip() for x in open(os.path.join(MSMARCO_PATH, 'docid')).readlines()] | |
def generate_msmarco_passage(): | |
for idx in range(len(vectors)): | |
docid = docids[idx] | |
vector = vectors[idx] | |
action = { | |
"_index": INDEX_NAME, | |
"_id": docid, | |
"text-vector": vector | |
} | |
yield action | |
client = Elasticsearch("http://localhost:9200", timeout=1000) | |
print("Indexing documents...") | |
successes = 0 | |
for ok, action in tqdm(streaming_bulk( | |
client=client, index=INDEX_NAME, actions=generate_msmarco_passage(), | |
)): | |
successes += ok | |
print(f"Indexed {successes} documents") | |