f54973e583
* Added k-nn user guide and samples. Signed-off-by: dblock <[email protected]> * Added async samples. Signed-off-by: dblock <[email protected]> * Renamed Lucene Filters with Efficient Filters. Signed-off-by: dblock <[email protected]> * Fixing TOC from Lucene filters to Efficient filters Signed-off-by: Vacha Shah <[email protected]> --------- Signed-off-by: dblock <[email protected]> Signed-off-by: Vacha Shah <[email protected]> Co-authored-by: Vacha Shah <[email protected]>
94 lines
2.4 KiB
Python
Executable File
94 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python
|
|
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# The OpenSearch Contributors require contributions made to
|
|
# this file be licensed under the Apache-2.0 license or a
|
|
# compatible open source license.
|
|
|
|
import asyncio
|
|
import os
|
|
import random
|
|
|
|
from opensearchpy import AsyncOpenSearch, AsyncHttpConnection, helpers
|
|
|
|
async def main():
|
|
# connect to an instance of OpenSearch
|
|
host = os.getenv('HOST', default='localhost')
|
|
port = int(os.getenv('PORT', 9200))
|
|
auth = (
|
|
os.getenv('USERNAME', 'admin'),
|
|
os.getenv('PASSWORD', 'admin')
|
|
)
|
|
|
|
client = AsyncOpenSearch(
|
|
hosts = [{'host': host, 'port': port}],
|
|
http_auth = auth,
|
|
use_ssl = True,
|
|
verify_certs = False,
|
|
connection_class=AsyncHttpConnection,
|
|
ssl_show_warn = False
|
|
)
|
|
|
|
# check whether an index exists
|
|
index_name = "my-index"
|
|
dimensions = 5
|
|
|
|
if not await client.indices.exists(index_name):
|
|
await client.indices.create(index_name,
|
|
body={
|
|
"settings":{
|
|
"index.knn": True
|
|
},
|
|
"mappings":{
|
|
"properties": {
|
|
"values": {
|
|
"type": "knn_vector",
|
|
"dimension": dimensions
|
|
},
|
|
}
|
|
}
|
|
}
|
|
)
|
|
|
|
# index data
|
|
vectors = []
|
|
for i in range(10):
|
|
vec = []
|
|
for j in range(dimensions):
|
|
vec.append(round(random.uniform(0, 1), 2))
|
|
|
|
vectors.append({
|
|
"_index": index_name,
|
|
"_id": i,
|
|
"values": vec,
|
|
})
|
|
|
|
# bulk index
|
|
await helpers.async_bulk(client, vectors)
|
|
|
|
await client.indices.refresh(index=index_name)
|
|
|
|
# search
|
|
vec = []
|
|
for j in range(dimensions):
|
|
vec.append(round(random.uniform(0, 1), 2))
|
|
print(f"Searching for {vec} ...")
|
|
|
|
search_query = {"query": {"knn": {"values": {"vector": vec, "k": 3}}}}
|
|
results = await client.search(index=index_name, body=search_query)
|
|
for hit in results["hits"]["hits"]:
|
|
print(hit)
|
|
|
|
# delete index
|
|
await client.indices.delete(index=index_name)
|
|
|
|
await client.close()
|
|
|
|
if __name__ == "__main__":
|
|
loop = asyncio.new_event_loop()
|
|
asyncio.set_event_loop(loop)
|
|
loop.run_until_complete(main())
|
|
loop.close()
|
|
|