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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_batch_client_async.py
DESCRIPTION:
This sample demonstrates how to upload, merge, or delete documents using SearchIndexingBufferedSender.
USAGE:
python sample_batch_client_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
"""
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"]
from azure.core.credentials import AzureKeyCredential
from azure.search.documents.aio import SearchIndexingBufferedSender
async def sample_batching_client():
DOCUMENT = {
"category": "Hotel",
"hotelId": "1000",
"rating": 4.0,
"rooms": [],
"hotelName": "Azure Inn",
}
async with SearchIndexingBufferedSender(service_endpoint, index_name, AzureKeyCredential(key)) as batch_client:
# add upload actions
await batch_client.upload_documents(documents=[DOCUMENT])
# add merge actions
await batch_client.merge_documents(documents=[{"hotelId": "1000", "rating": 4.5}])
# add delete actions
await batch_client.delete_documents(documents=[{"hotelId": "1000"}])
async def main():
await sample_batching_client()
if __name__ == "__main__":
asyncio.run(main())
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