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# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import json
from os.path import dirname, join, realpath
import pytest
from devtools_testutils import AzureMgmtTestCase
from search_service_preparer import SearchServicePreparer, SearchResourceGroupPreparer
from azure_devtools.scenario_tests import ReplayableTest
from azure.core import MatchConditions
from azure.core.credentials import AzureKeyCredential
from azure.core.exceptions import HttpResponseError
from azure.search.documents.indexes.models import(
SearchIndexerDataSourceConnection,
SearchIndexerDataContainer,
)
from azure.search.documents.indexes import SearchIndexerClient
CWD = dirname(realpath(__file__))
SCHEMA = open(join(CWD, "hotel_schema.json")).read()
try:
BATCH = json.load(open(join(CWD, "hotel_small.json")))
except UnicodeDecodeError:
BATCH = json.load(open(join(CWD, "hotel_small.json"), encoding='utf-8'))
TIME_TO_SLEEP = 5
CONNECTION_STRING = 'DefaultEndpointsProtocol=https;AccountName=storagename;AccountKey=NzhL3hKZbJBuJ2484dPTR+xF30kYaWSSCbs2BzLgVVI1woqeST/1IgqaLm6QAOTxtGvxctSNbIR/1hW8yH+bJg==;EndpointSuffix=core.windows.net'
class SearchDataSourcesClientTest(AzureMgmtTestCase):
FILTER_HEADERS = ReplayableTest.FILTER_HEADERS + ['api-key']
def _create_data_source_connection(self, name="sample-datasource"):
container = SearchIndexerDataContainer(name='searchcontainer')
data_source_connection = SearchIndexerDataSourceConnection(
name=name,
type="azureblob",
connection_string=CONNECTION_STRING,
container=container
)
return data_source_connection
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_create_datasource(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
data_source_connection = self._create_data_source_connection()
result = client.create_data_source_connection(data_source_connection)
assert result.name == "sample-datasource"
assert result.type == "azureblob"
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_delete_datasource(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
data_source_connection = self._create_data_source_connection()
result = client.create_data_source_connection(data_source_connection)
assert len(client.get_data_source_connections()) == 1
client.delete_data_source_connection("sample-datasource")
assert len(client.get_data_source_connections()) == 0
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_get_datasource(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
data_source_connection = self._create_data_source_connection()
created = client.create_data_source_connection(data_source_connection)
result = client.get_data_source_connection("sample-datasource")
assert result.name == "sample-datasource"
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_list_datasource(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
data_source_connection1 = self._create_data_source_connection()
data_source_connection2 = self._create_data_source_connection(name="another-sample")
created1 = client.create_data_source_connection(data_source_connection1)
created2 = client.create_data_source_connection(data_source_connection2)
result = client.get_data_source_connections()
assert isinstance(result, list)
assert set(x.name for x in result) == {"sample-datasource", "another-sample"}
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_create_or_update_datasource(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
data_source_connection = self._create_data_source_connection()
created = client.create_data_source_connection(data_source_connection)
assert len(client.get_data_source_connections()) == 1
data_source_connection.description = "updated"
client.create_or_update_data_source_connection(data_source_connection)
assert len(client.get_data_source_connections()) == 1
result = client.get_data_source_connection("sample-datasource")
assert result.name == "sample-datasource"
assert result.description == "updated"
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_create_or_update_datasource_if_unchanged(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
data_source_connection = self._create_data_source_connection()
created = client.create_data_source_connection(data_source_connection)
etag = created.e_tag
# Now update the data source connection
data_source_connection.description = "updated"
client.create_or_update_data_source_connection(data_source_connection)
# prepare data source connection
data_source_connection.e_tag = etag # reset to the original data source connection
data_source_connection.description = "changed"
with pytest.raises(HttpResponseError):
client.create_or_update_data_source_connection(data_source_connection, match_condition=MatchConditions.IfNotModified)
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_delete_datasource_if_unchanged(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
data_source_connection = self._create_data_source_connection()
created = client.create_data_source_connection(data_source_connection)
etag = created.e_tag
# Now update the data source connection
data_source_connection.description = "updated"
client.create_or_update_data_source_connection(data_source_connection)
# prepare data source connection
data_source_connection.e_tag = etag # reset to the original data source connection
with pytest.raises(HttpResponseError):
client.delete_data_source_connection(data_source_connection, match_condition=MatchConditions.IfNotModified)
assert len(client.get_data_source_connections()) == 1
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_delete_datasource_string_if_unchanged(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
data_source_connection = self._create_data_source_connection()
created = client.create_data_source_connection(data_source_connection)
etag = created.e_tag
# Now update the data source connection
data_source_connection.description = "updated"
client.create_or_update_data_source_connection(data_source_connection)
# prepare data source connection
data_source_connection.e_tag = etag # reset to the original data source connection
with pytest.raises(ValueError):
client.delete_data_source_connection(data_source_connection.name, match_condition=MatchConditions.IfNotModified)
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