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# pylint: disable=line-too-long,useless-suppression
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
Given an AIProjectClient, this sample demonstrates how to use the asynchronous
`.indexes` methods to upload a file, create Indexes that reference those files,
list Indexes and delete Indexes.
USAGE:
python sample_indexes_async.py
Before running the sample:
pip install azure-ai-projects azure-identity aiohttp python-dotenv
Set these environment variables with your own values:
1) AZURE_AI_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
Azure AI Foundry project.
2) INDEX_NAME - Optional. The name of the Index to create and use in this sample.
3) INDEX_VERSION - Optional. The version of the Index to create and use in this sample.
4) AI_SEARCH_CONNECTION_NAME - Optional. The name of an existing AI Search connection to use in this sample.
5) AI_SEARCH_INDEX_NAME - Optional. The name of the AI Search index to use in this sample.
"""
import asyncio
import os
from dotenv import load_dotenv
from azure.identity.aio import DefaultAzureCredential
from azure.ai.projects.aio import AIProjectClient
from azure.ai.projects.models import AzureAISearchIndex
load_dotenv()
async def main() -> None:
endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
index_name = os.environ.get("INDEX_NAME", "index-test")
index_version = os.environ.get("INDEX_VERSION", "1.0")
ai_search_connection_name = os.environ.get("AI_SEARCH_CONNECTION_NAME", "my-ai-search-connection-name")
ai_search_index_name = os.environ.get("AI_SEARCH_INDEX_NAME", "my-ai-search-index-name")
async with DefaultAzureCredential() as credential:
async with AIProjectClient(endpoint=endpoint, credential=credential) as project_client:
print(
f"Create Index `{index_name}` with version `{index_version}`, referencing an existing AI Search resource:"
)
index = await project_client.indexes.create_or_update(
name=index_name,
version=index_version,
index=AzureAISearchIndex(connection_name=ai_search_connection_name, index_name=ai_search_index_name),
)
print(index)
print(f"Get Index `{index_name}` version `{index_version}`:")
index = await project_client.indexes.get(name=index_name, version=index_version)
print(index)
print("List latest versions of all Indexes:")
async for index in project_client.indexes.list():
print(index)
print(f"Listing all versions of the Index named `{index_name}`:")
async for index in project_client.indexes.list_versions(name=index_name):
print(index)
print(f"Delete Index`{index_name}` version `{index_version}`:")
await project_client.indexes.delete(name=index_name, version=index_version)
if __name__ == "__main__":
asyncio.run(main())
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