/
test_matching_engine_index.py
446 lines (372 loc) · 15.2 KB
/
test_matching_engine_index.py
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# -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import pytest
import uuid
from unittest import mock
from importlib import reload
from unittest.mock import patch
from google.api_core import operation
from google.protobuf import field_mask_pb2
from google.cloud import aiplatform
from google.cloud.aiplatform import base
from google.cloud.aiplatform import initializer
from google.cloud.aiplatform.compat.services import (
index_service_client,
)
from google.cloud.aiplatform.compat.types import (
index as gca_index,
encryption_spec as gca_encryption_spec,
index_service_v1beta1 as gca_index_service_v1beta1,
)
import constants as test_constants
# project
_TEST_PROJECT = test_constants.ProjectConstants._TEST_PROJECT
_TEST_LOCATION = test_constants.ProjectConstants._TEST_LOCATION
_TEST_PARENT = test_constants.ProjectConstants._TEST_PARENT
# index
_TEST_INDEX_ID = test_constants.MatchingEngineConstants._TEST_INDEX_ID
_TEST_INDEX_NAME = test_constants.MatchingEngineConstants._TEST_INDEX_NAME
_TEST_INDEX_DISPLAY_NAME = (
test_constants.MatchingEngineConstants._TEST_INDEX_DISPLAY_NAME
)
_TEST_CONTENTS_DELTA_URI = "gs://contents"
_TEST_INDEX_DISTANCE_MEASURE_TYPE = "SQUARED_L2_DISTANCE"
_TEST_CONTENTS_DELTA_URI_UPDATE = "gs://contents_update"
_TEST_IS_COMPLETE_OVERWRITE_UPDATE = True
_TEST_INDEX_CONFIG_DIMENSIONS = 100
_TEST_INDEX_APPROXIMATE_NEIGHBORS_COUNT = 150
_TEST_LEAF_NODE_EMBEDDING_COUNT = 123
_TEST_LEAF_NODES_TO_SEARCH_PERCENT = 50
_TEST_INDEX_DESCRIPTION = test_constants.MatchingEngineConstants._TEST_INDEX_DESCRIPTION
_TEST_LABELS = test_constants.MatchingEngineConstants._TEST_LABELS
_TEST_DISPLAY_NAME_UPDATE = (
test_constants.MatchingEngineConstants._TEST_DISPLAY_NAME_UPDATE
)
_TEST_DESCRIPTION_UPDATE = (
test_constants.MatchingEngineConstants._TEST_DESCRIPTION_UPDATE
)
_TEST_LABELS_UPDATE = test_constants.MatchingEngineConstants._TEST_LABELS_UPDATE
# request_metadata
_TEST_REQUEST_METADATA = test_constants.MatchingEngineConstants._TEST_REQUEST_METADATA
# Lists
_TEST_INDEX_LIST = [
gca_index.Index(
name=_TEST_INDEX_NAME,
display_name=_TEST_INDEX_DISPLAY_NAME,
description=_TEST_INDEX_DESCRIPTION,
),
gca_index.Index(
name=_TEST_INDEX_NAME,
display_name=_TEST_INDEX_DISPLAY_NAME,
description=_TEST_INDEX_DESCRIPTION,
),
gca_index.Index(
name=_TEST_INDEX_NAME,
display_name=_TEST_INDEX_DISPLAY_NAME,
description=_TEST_INDEX_DESCRIPTION,
),
]
# Index update method
_TEST_INDEX_BATCH_UPDATE_METHOD = "BATCH_UPDATE"
_TEST_INDEX_STREAM_UPDATE_METHOD = "STREAM_UPDATE"
_TEST_INDEX_EMPTY_UPDATE_METHOD = None
_TEST_INDEX_INVALID_UPDATE_METHOD = "INVALID_UPDATE_METHOD"
_TEST_INDEX_UPDATE_METHOD_EXPECTED_RESULT_MAP = {
_TEST_INDEX_BATCH_UPDATE_METHOD: gca_index.Index.IndexUpdateMethod.BATCH_UPDATE,
_TEST_INDEX_STREAM_UPDATE_METHOD: gca_index.Index.IndexUpdateMethod.STREAM_UPDATE,
_TEST_INDEX_EMPTY_UPDATE_METHOD: None,
_TEST_INDEX_INVALID_UPDATE_METHOD: None,
}
# Encryption spec
_TEST_ENCRYPTION_SPEC_KEY_NAME = "TEST_ENCRYPTION_SPEC"
# Streaming update
_TEST_DATAPOINT_IDS = ("1", "2")
def uuid_mock():
return uuid.UUID(int=1)
# All Index Mocks
@pytest.fixture
def get_index_mock():
with patch.object(
index_service_client.IndexServiceClient, "get_index"
) as get_index_mock:
get_index_mock.return_value = gca_index.Index(
name=_TEST_INDEX_NAME,
display_name=_TEST_INDEX_DISPLAY_NAME,
description=_TEST_INDEX_DESCRIPTION,
)
yield get_index_mock
@pytest.fixture
def update_index_metadata_mock():
with patch.object(
index_service_client.IndexServiceClient, "update_index"
) as update_index_mock:
index_lro_mock = mock.Mock(operation.Operation)
index_lro_mock.result.return_value = gca_index.Index(
name=_TEST_INDEX_NAME,
display_name=_TEST_DISPLAY_NAME_UPDATE,
description=_TEST_DESCRIPTION_UPDATE,
labels=_TEST_LABELS_UPDATE,
)
update_index_mock.return_value = index_lro_mock
yield update_index_mock
@pytest.fixture
def update_index_embeddings_mock():
with patch.object(
index_service_client.IndexServiceClient, "update_index"
) as update_index_mock:
index_lro_mock = mock.Mock(operation.Operation)
index_lro_mock.result.return_value = gca_index.Index(
name=_TEST_INDEX_NAME,
)
update_index_mock.return_value = index_lro_mock
yield update_index_mock
@pytest.fixture
def list_indexes_mock():
with patch.object(
index_service_client.IndexServiceClient, "list_indexes"
) as list_indexes_mock:
list_indexes_mock.return_value = _TEST_INDEX_LIST
yield list_indexes_mock
@pytest.fixture
def delete_index_mock():
with mock.patch.object(
index_service_client.IndexServiceClient, "delete_index"
) as delete_index_mock:
delete_index_lro_mock = mock.Mock(operation.Operation)
delete_index_mock.return_value = delete_index_lro_mock
yield delete_index_mock
@pytest.fixture
def create_index_mock():
with patch.object(
index_service_client.IndexServiceClient, "create_index"
) as create_index_mock:
create_index_lro_mock = mock.Mock(operation.Operation)
create_index_lro_mock.result.return_value = gca_index.Index(
name=_TEST_INDEX_NAME,
display_name=_TEST_INDEX_DISPLAY_NAME,
description=_TEST_INDEX_DESCRIPTION,
)
create_index_mock.return_value = create_index_lro_mock
yield create_index_mock
@pytest.fixture
def remove_datapoints_mock():
with patch.object(
index_service_client.IndexServiceClient, "remove_datapoints"
) as remove_datapoints_mock:
remove_datapoints_lro_mock = mock.Mock(operation.Operation)
remove_datapoints_mock.return_value = remove_datapoints_lro_mock
yield remove_datapoints_mock
@pytest.mark.usefixtures("google_auth_mock")
class TestMatchingEngineIndex:
def setup_method(self):
reload(initializer)
reload(aiplatform)
def teardown_method(self):
initializer.global_pool.shutdown(wait=True)
@pytest.mark.parametrize("index_name", [_TEST_INDEX_ID, _TEST_INDEX_NAME])
def test_init_index(self, index_name, get_index_mock):
aiplatform.init(project=_TEST_PROJECT)
my_index = aiplatform.MatchingEngineIndex(index_name=index_name)
get_index_mock.assert_called_once_with(
name=my_index.resource_name, retry=base._DEFAULT_RETRY
)
@pytest.mark.usefixtures("get_index_mock")
def test_update_index_metadata(self, update_index_metadata_mock):
aiplatform.init(project=_TEST_PROJECT)
my_index = aiplatform.MatchingEngineIndex(index_name=_TEST_INDEX_ID)
updated_index = my_index.update_metadata(
display_name=_TEST_DISPLAY_NAME_UPDATE,
description=_TEST_DESCRIPTION_UPDATE,
labels=_TEST_LABELS_UPDATE,
)
expected = gca_index.Index(
name=_TEST_INDEX_NAME,
display_name=_TEST_DISPLAY_NAME_UPDATE,
description=_TEST_DESCRIPTION_UPDATE,
labels=_TEST_LABELS_UPDATE,
)
update_index_metadata_mock.assert_called_once_with(
index=expected,
update_mask=field_mask_pb2.FieldMask(
paths=["labels", "display_name", "description"]
),
metadata=_TEST_REQUEST_METADATA,
)
assert updated_index.gca_resource == expected
@pytest.mark.usefixtures("get_index_mock")
def test_update_index_embeddings(self, update_index_embeddings_mock):
aiplatform.init(project=_TEST_PROJECT)
my_index = aiplatform.MatchingEngineIndex(index_name=_TEST_INDEX_ID)
updated_index = my_index.update_embeddings(
contents_delta_uri=_TEST_CONTENTS_DELTA_URI_UPDATE,
is_complete_overwrite=_TEST_IS_COMPLETE_OVERWRITE_UPDATE,
)
expected = gca_index.Index(
name=_TEST_INDEX_NAME,
metadata={
"contentsDeltaUri": _TEST_CONTENTS_DELTA_URI_UPDATE,
"isCompleteOverwrite": _TEST_IS_COMPLETE_OVERWRITE_UPDATE,
},
)
update_index_embeddings_mock.assert_called_once_with(
index=expected,
update_mask=field_mask_pb2.FieldMask(paths=["metadata"]),
metadata=_TEST_REQUEST_METADATA,
)
# The service only returns the name of the Index
assert updated_index.gca_resource == gca_index.Index(name=_TEST_INDEX_NAME)
def test_list_indexes(self, list_indexes_mock):
aiplatform.init(project=_TEST_PROJECT)
my_indexes_list = aiplatform.MatchingEngineIndex.list()
list_indexes_mock.assert_called_once_with(request={"parent": _TEST_PARENT})
assert len(my_indexes_list) == len(_TEST_INDEX_LIST)
for my_index in my_indexes_list:
assert isinstance(my_index, aiplatform.MatchingEngineIndex)
@pytest.mark.parametrize("sync", [True, False])
@pytest.mark.usefixtures("get_index_mock")
def test_delete_index(self, delete_index_mock, sync):
aiplatform.init(project=_TEST_PROJECT)
my_index = aiplatform.MatchingEngineIndex(index_name=_TEST_INDEX_ID)
my_index.delete(sync=sync)
if not sync:
my_index.wait()
delete_index_mock.assert_called_once_with(name=my_index.resource_name)
@pytest.mark.usefixtures("get_index_mock")
@pytest.mark.parametrize("sync", [True, False])
@pytest.mark.parametrize(
"index_update_method",
[
_TEST_INDEX_STREAM_UPDATE_METHOD,
_TEST_INDEX_BATCH_UPDATE_METHOD,
_TEST_INDEX_EMPTY_UPDATE_METHOD,
_TEST_INDEX_INVALID_UPDATE_METHOD,
],
)
def test_create_tree_ah_index(self, create_index_mock, sync, index_update_method):
aiplatform.init(project=_TEST_PROJECT)
my_index = aiplatform.MatchingEngineIndex.create_tree_ah_index(
display_name=_TEST_INDEX_DISPLAY_NAME,
contents_delta_uri=_TEST_CONTENTS_DELTA_URI,
dimensions=_TEST_INDEX_CONFIG_DIMENSIONS,
approximate_neighbors_count=_TEST_INDEX_APPROXIMATE_NEIGHBORS_COUNT,
distance_measure_type=_TEST_INDEX_DISTANCE_MEASURE_TYPE,
leaf_node_embedding_count=_TEST_LEAF_NODE_EMBEDDING_COUNT,
leaf_nodes_to_search_percent=_TEST_LEAF_NODES_TO_SEARCH_PERCENT,
description=_TEST_INDEX_DESCRIPTION,
labels=_TEST_LABELS,
sync=sync,
index_update_method=index_update_method,
encryption_spec_key_name=_TEST_ENCRYPTION_SPEC_KEY_NAME,
)
if not sync:
my_index.wait()
config = {
"treeAhConfig": {
"leafNodeEmbeddingCount": _TEST_LEAF_NODE_EMBEDDING_COUNT,
"leafNodesToSearchPercent": _TEST_LEAF_NODES_TO_SEARCH_PERCENT,
}
}
expected = gca_index.Index(
display_name=_TEST_INDEX_DISPLAY_NAME,
metadata={
"config": {
"algorithmConfig": config,
"dimensions": _TEST_INDEX_CONFIG_DIMENSIONS,
"approximateNeighborsCount": _TEST_INDEX_APPROXIMATE_NEIGHBORS_COUNT,
"distanceMeasureType": _TEST_INDEX_DISTANCE_MEASURE_TYPE,
},
"contentsDeltaUri": _TEST_CONTENTS_DELTA_URI,
},
description=_TEST_INDEX_DESCRIPTION,
labels=_TEST_LABELS,
index_update_method=_TEST_INDEX_UPDATE_METHOD_EXPECTED_RESULT_MAP[
index_update_method
],
encryption_spec=gca_encryption_spec.EncryptionSpec(
kms_key_name=_TEST_ENCRYPTION_SPEC_KEY_NAME
),
)
create_index_mock.assert_called_once_with(
parent=_TEST_PARENT,
index=expected,
metadata=_TEST_REQUEST_METADATA,
)
@pytest.mark.usefixtures("get_index_mock")
@pytest.mark.parametrize("sync", [True, False])
@pytest.mark.parametrize(
"index_update_method",
[
_TEST_INDEX_STREAM_UPDATE_METHOD,
_TEST_INDEX_BATCH_UPDATE_METHOD,
_TEST_INDEX_EMPTY_UPDATE_METHOD,
_TEST_INDEX_INVALID_UPDATE_METHOD,
],
)
def test_create_brute_force_index(
self, create_index_mock, sync, index_update_method
):
aiplatform.init(project=_TEST_PROJECT)
my_index = aiplatform.MatchingEngineIndex.create_brute_force_index(
display_name=_TEST_INDEX_DISPLAY_NAME,
contents_delta_uri=_TEST_CONTENTS_DELTA_URI,
dimensions=_TEST_INDEX_CONFIG_DIMENSIONS,
distance_measure_type=_TEST_INDEX_DISTANCE_MEASURE_TYPE,
description=_TEST_INDEX_DESCRIPTION,
labels=_TEST_LABELS,
sync=sync,
index_update_method=index_update_method,
encryption_spec_key_name=_TEST_ENCRYPTION_SPEC_KEY_NAME,
)
if not sync:
my_index.wait()
config = {"bruteForceConfig": {}}
expected = gca_index.Index(
display_name=_TEST_INDEX_DISPLAY_NAME,
metadata={
"config": {
"algorithmConfig": config,
"dimensions": _TEST_INDEX_CONFIG_DIMENSIONS,
"approximateNeighborsCount": None,
"distanceMeasureType": _TEST_INDEX_DISTANCE_MEASURE_TYPE,
},
"contentsDeltaUri": _TEST_CONTENTS_DELTA_URI,
},
description=_TEST_INDEX_DESCRIPTION,
labels=_TEST_LABELS,
index_update_method=_TEST_INDEX_UPDATE_METHOD_EXPECTED_RESULT_MAP[
index_update_method
],
encryption_spec=gca_encryption_spec.EncryptionSpec(
kms_key_name=_TEST_ENCRYPTION_SPEC_KEY_NAME
),
)
create_index_mock.assert_called_once_with(
parent=_TEST_PARENT,
index=expected,
metadata=_TEST_REQUEST_METADATA,
)
@pytest.mark.usefixtures("get_index_mock")
def test_remove_datapoints(self, remove_datapoints_mock):
aiplatform.init(project=_TEST_PROJECT)
my_index = aiplatform.MatchingEngineIndex(index_name=_TEST_INDEX_ID)
my_index.remove_datapoints(
datapoint_ids=_TEST_DATAPOINT_IDS,
)
remove_datapoints_request = gca_index_service_v1beta1.RemoveDatapointsRequest(
index=_TEST_INDEX_NAME,
datapoint_ids=_TEST_DATAPOINT_IDS,
)
remove_datapoints_mock.assert_called_once_with(remove_datapoints_request)