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# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: sample_facet_query_async.py
DESCRIPTION:
This sample demonstrates how to obtain search facets on specified field in
an Azure Search index.
USAGE:
python sample_facet_query_async.py
Set the environment variables with your own values before running the sample:
1) AZURE_SEARCH_SERVICE_ENDPOINT - the endpoint of your Azure Cognitive Search service
2) AZURE_SEARCH_INDEX_NAME - the name of your search index (e.g. "hotels-sample-index")
3) AZURE_SEARCH_API_KEY - your search API key
"""
from typing import List, Dict, cast
import os
import asyncio
service_endpoint = os.environ["AZURE_SEARCH_SERVICE_ENDPOINT"]
index_name = os.environ["AZURE_SEARCH_INDEX_NAME"]
key = os.environ["AZURE_SEARCH_API_KEY"]
async def filter_query():
# [START facet_query_async]
from azure.core.credentials import AzureKeyCredential
from azure.search.documents.aio import SearchClient
search_client = SearchClient(service_endpoint, index_name, AzureKeyCredential(key))
async with search_client:
results = await search_client.search(search_text="WiFi", facets=["category,count:3", "parkingIncluded"])
facets: Dict[str, List[str]] = cast(Dict[str, List[str]], await results.get_facets())
print("Catgory facet counts for hotels:")
for facet in facets["category"]:
print(" {}".format(facet))
# [END facet_query_async]
if __name__ == "__main__":
asyncio.run(filter_query())
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