async def simple_analyze_text():
# [START simple_analyze_text_async]
from azure.core.credentials import AzureKeyCredential
from azure.search.documents.aio import SearchServiceClient
from azure.search.documents import AnalyzeRequest
service_client = SearchServiceClient(service_endpoint,
AzureKeyCredential(key))
analyze_request = AnalyzeRequest(text="One's <two/>",
analyzer="standard.lucene")
async with service_client:
result = await service_client.analyze_text(index_name, analyze_request)
print(result.as_dict())
1) AZURE_SEARCH_SERVICE_ENDPOINT - the endpoint of your Azure Cognitive Search service
2) AZURE_SEARCH_API_KEY - your search API key
"""
import asyncio
import os
service_endpoint = os.getenv("AZURE_SEARCH_SERVICE_ENDPOINT")
key = os.getenv("AZURE_SEARCH_API_KEY")
connection_string = os.getenv("AZURE_STORAGE_CONNECTION_STRING")
from azure.core.credentials import AzureKeyCredential
from azure.search.documents import DataSource, DataContainer, DataSourceCredentials
from azure.search.documents.aio import SearchServiceClient
service_client = SearchServiceClient(service_endpoint, AzureKeyCredential(key))
client = service_client.get_datasources_client()
async def create_data_source():
# [START create_data_source_async]
credentials = DataSourceCredentials(connection_string=connection_string)
container = DataContainer(name='searchcontainer')
data_source = DataSource(name="async-sample-datasource",
type="azureblob",
credentials=credentials,
container=container)
async with service_client:
result = await client.create_datasource(data_source)
print("Create new Data Source - async-sample-datasource")
# [END create_data_source_async]
1) AZURE_SEARCH_SERVICE_ENDPOINT - the endpoint of your Azure Cognitive Search service
2) AZURE_SEARCH_API_KEY - your search API key
"""
import asyncio
import os
service_endpoint = os.getenv("AZURE_SEARCH_SERVICE_ENDPOINT")
key = os.getenv("AZURE_SEARCH_API_KEY")
connection_string = os.getenv("AZURE_STORAGE_CONNECTION_STRING")
from azure.core.credentials import AzureKeyCredential
from azure.search.documents import DataSource, DataContainer, DataSourceCredentials
from azure.search.documents.aio import SearchServiceClient
service_client = SearchServiceClient(service_endpoint, AzureKeyCredential(key))
async def create_data_source():
# [START create_data_source_async]
credentials = DataSourceCredentials(connection_string=connection_string)
container = DataContainer(name='searchcontainer')
data_source = DataSource(name="async-sample-datasource", type="azureblob", credentials=credentials, container=container)
async with service_client:
result = await service_client.create_datasource(data_source)
print("Create new Data Source - async-sample-datasource")
# [END create_data_source_async]
async def list_data_sources():
# [START list_data_source_async]
async with service_client:
result = await service_client.get_datasources()
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_API_KEY - your search API key
"""
import asyncio
import os
service_endpoint = os.getenv("AZURE_SEARCH_SERVICE_ENDPOINT")
key = os.getenv("AZURE_SEARCH_API_KEY")
from azure.core.credentials import AzureKeyCredential
from azure.search.documents.aio import SearchServiceClient
client = SearchServiceClient(
service_endpoint, AzureKeyCredential(key)).get_synonym_maps_client()
async def create_synonym_map():
# [START create_synonym_map_async]
result = await client.create_synonym_map("test-syn-map", [
"USA, United States, United States of America",
"Washington, Wash. => WA",
])
print("Create new Synonym Map 'test-syn-map succeeded")
# [END create_synonym_map_async]
async def get_synonym_maps():
# [START get_synonym_maps_async]
result = await client.get_synonym_maps()
1) AZURE_SEARCH_SERVICE_ENDPOINT - the endpoint of your Azure Cognitive Search service
2) AZURE_SEARCH_API_KEY - your search API key
"""
import os
import asyncio
service_endpoint = os.getenv("AZURE_SEARCH_SERVICE_ENDPOINT")
key = os.getenv("AZURE_SEARCH_API_KEY")
from azure.core.credentials import AzureKeyCredential
from azure.search.documents.aio import SearchServiceClient
from azure.search.documents import ComplexField, CorsOptions, Index, ScoringProfile, edm, SimpleField, SearchableField
client = SearchServiceClient(service_endpoint, AzureKeyCredential(key)).get_indexes_client()
async def create_index():
# [START create_index_async]
name = "hotels"
fields = [
SimpleField(name="hotelId", type=edm.String, key=True),
SimpleField(name="baseRate", type=edm.Double),
SearchableField(name="description", type=edm.String),
ComplexField(name="address", fields=[
SimpleField(name="streetAddress", type=edm.String),
SimpleField(name="city", type=edm.String),
])
]
cors_options = CorsOptions(allowed_origins=["*"], max_age_in_seconds=60)
async def test_get_service_statistics(self, api_key, endpoint, **kwargs):
client = SearchServiceClient(endpoint, SearchApiKeyCredential(api_key))
result = await client.get_service_statistics()
assert isinstance(result, dict)
assert set(result.keys()) == {"counters", "limits"}