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
def _clean_up_indexers(endpoint, api_key):
from azure.search.documents.indexes import SearchIndexerClient
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
for indexer in client.get_indexers():
client.delete_indexer(indexer)
for datasource in client.get_data_source_connection_names():
client.delete_data_source_connection(datasource)
for skillset in client.get_skillset_names():
client.delete_skillset(skillset)
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)
