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# Copyright 2023 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.
#
# Use this file to store global variables that will be shared across multiple tests
import dataclasses
from datetime import datetime
from unittest import mock
from google.auth import credentials as auth_credentials
from google.protobuf import timestamp_pb2, duration_pb2
from google.cloud.aiplatform.utils import source_utils
from google.cloud.aiplatform import explain
from google.cloud.aiplatform import utils
from google.cloud.aiplatform import schema
from google.cloud.aiplatform.metadata import constants as metadata_constants
from google.cloud.aiplatform.compat.services import (
model_service_client,
)
from google.cloud.aiplatform.compat.types import (
context,
custom_job,
encryption_spec,
endpoint,
io,
model,
tensorboard_data,
tensorboard_experiment,
tensorboard_run,
tensorboard_time_series,
)
@dataclasses.dataclass(frozen=True)
class ProjectConstants:
"""Defines project-specific constants used by tests."""
_TEST_PROJECT = "test-project"
_TEST_LOCATION = "us-central1"
_TEST_ENCRYPTION_KEY_NAME = "key_1234"
_TEST_ENCRYPTION_SPEC = encryption_spec.EncryptionSpec(
kms_key_name=_TEST_ENCRYPTION_KEY_NAME
)
_TEST_PARENT = f"projects/{_TEST_PROJECT}/locations/{_TEST_LOCATION}"
_TEST_SERVICE_ACCOUNT = "vinnys@my-project.iam.gserviceaccount.com"
_TEST_LABELS = {"my_key": "my_value"}
@dataclasses.dataclass(frozen=True)
class TrainingJobConstants:
"""Defines constants used by tests that create training jobs."""
_TEST_OUTPUT_PYTHON_PACKAGE_PATH = "gs://test-staging-bucket/trainer.tar.gz"
_TEST_MODULE_NAME = (
f"{source_utils._TrainingScriptPythonPackager._ROOT_MODULE}.task"
)
_TEST_LOCAL_SCRIPT_FILE_NAME = "____test____script.py"
_TEST_REQUIREMENTS = ["pandas", "numpy", "tensorflow"]
_TEST_ENVIRONMENT_VARIABLES = {
"MY_PATH": "/path/to/my_path",
}
_TEST_REPLICA_COUNT = 1
_TEST_MACHINE_TYPE = "n1-standard-4"
_TEST_MACHINE_TYPE_TPU = "cloud-tpu"
_TEST_MACHINE_TYPE_TPU_V5E = "ct5lp-hightpu-4t"
_TEST_ACCELERATOR_TPU_TYPE = "TPU_V3"
_TEST_ACCELERATOR_TYPE = "NVIDIA_TESLA_K80"
_TEST_ACCELERATOR_COUNT = 1
_TEST_BOOT_DISK_TYPE = "pd-standard"
_TEST_BOOT_DISK_SIZE_GB = 300
_TEST_REDUCTION_SERVER_REPLICA_COUNT = 1
_TEST_REDUCTION_SERVER_MACHINE_TYPE = "n1-highcpu-16"
_TEST_REDUCTION_SERVER_CONTAINER_URI = (
"us-docker.pkg.dev/vertex-ai-restricted/training/reductionserver:latest"
)
_TEST_DATASET_DISPLAY_NAME = "test-dataset-display-name"
_TEST_DATASET_NAME = "test-dataset-name"
_TEST_DISPLAY_NAME = "test-display-name"
_TEST_BUCKET_NAME = "test-bucket"
_TEST_GCS_PATH_WITHOUT_BUCKET = "path/to/folder"
_TEST_GCS_PATH = f"{_TEST_BUCKET_NAME}/{_TEST_GCS_PATH_WITHOUT_BUCKET}"
_TEST_GCS_PATH_WITH_TRAILING_SLASH = f"{_TEST_GCS_PATH}/"
_TEST_MODEL_DISPLAY_NAME = "model-display-name"
_TEST_MODEL_LABELS = {"model_key": "model_value"}
_TEST_STAGING_BUCKET = "gs://test-staging-bucket"
_TEST_DISPLAY_NAME = "my_job_1234"
_TEST_BASE_OUTPUT_DIR = f"{_TEST_STAGING_BUCKET}/{_TEST_DISPLAY_NAME}"
_TEST_ENABLE_WEB_ACCESS = True
_TEST_WEB_ACCESS_URIS = {"workerpool0-0": "uri"}
_TEST_TRAINING_CONTAINER_IMAGE = "gcr.io/test-training/container:image"
_TEST_RUN_ARGS = ["-v", "0.1", "--test=arg"]
_TEST_MACHINE_SPEC = {
"machine_type": "n1-standard-4",
"accelerator_type": "NVIDIA_TESLA_K80",
"accelerator_count": 1,
}
_TEST_WORKER_POOL_SPEC = [
{
"machine_spec": _TEST_MACHINE_SPEC,
"replica_count": 1,
"disk_spec": {"boot_disk_type": "pd-ssd", "boot_disk_size_gb": 100},
"container_spec": {
"image_uri": _TEST_TRAINING_CONTAINER_IMAGE,
"command": [],
"args": _TEST_RUN_ARGS,
},
}
]
_TEST_TPU_V5E_WORKER_POOL_SPEC = [
{
"machine_spec": {
"machine_type": _TEST_MACHINE_TYPE_TPU_V5E,
"tpu_topology": "2x2",
},
"replica_count": 1,
"disk_spec": {"boot_disk_type": "pd-ssd", "boot_disk_size_gb": 100},
"container_spec": {
"image_uri": _TEST_TRAINING_CONTAINER_IMAGE,
},
}
]
_TEST_TPU_V3_WORKER_POOL_SPEC = [
{
"machine_spec": {
"machine_type": _TEST_MACHINE_TYPE_TPU,
"accelerator_type": _TEST_ACCELERATOR_TPU_TYPE,
"accelerator_count": 32,
},
"replica_count": 1,
"disk_spec": {"boot_disk_type": "pd-ssd", "boot_disk_size_gb": 100},
"container_spec": {
"image_uri": _TEST_TRAINING_CONTAINER_IMAGE,
},
}
]
_TEST_RESERVATION_AFFINITY_WORKER_POOL_SPEC = [
{
"machine_spec": {
"machine_type": "n1-standard-4",
"accelerator_type": "NVIDIA_TESLA_K80",
"accelerator_count": 1,
"reservation_affinity": {
"reservation_affinity_type": "ANY_RESERVATION"
},
},
"replica_count": 1,
"disk_spec": {"boot_disk_type": "pd-ssd", "boot_disk_size_gb": 100},
"container_spec": {
"image_uri": _TEST_TRAINING_CONTAINER_IMAGE,
"command": [],
"args": _TEST_RUN_ARGS,
},
}
]
_TEST_ID = "1028944691210842416"
_TEST_NETWORK = (
f"projects/{ProjectConstants._TEST_PROJECT}/global/networks/{_TEST_ID}"
)
_TEST_RESERVED_IP_RANGES = ["example_ip_range"]
_TEST_TIMEOUT = 8000
_TEST_TIMEOUT_SECONDS = duration_pb2.Duration(seconds=_TEST_TIMEOUT)
_TEST_RESTART_JOB_ON_WORKER_RESTART = True
_TEST_DISABLE_RETRIES = True
_TEST_MAX_WAIT_DURATION = 8000
_TEST_BASE_CUSTOM_JOB_PROTO = custom_job.CustomJob(
display_name=_TEST_DISPLAY_NAME,
job_spec=custom_job.CustomJobSpec(
worker_pool_specs=_TEST_WORKER_POOL_SPEC,
base_output_directory=io.GcsDestination(
output_uri_prefix=_TEST_BASE_OUTPUT_DIR
),
scheduling=custom_job.Scheduling(
timeout=_TEST_TIMEOUT_SECONDS,
restart_job_on_worker_restart=_TEST_RESTART_JOB_ON_WORKER_RESTART,
disable_retries=_TEST_DISABLE_RETRIES,
max_wait_duration=(
duration_pb2.Duration(seconds=_TEST_MAX_WAIT_DURATION)
),
),
service_account=ProjectConstants._TEST_SERVICE_ACCOUNT,
network=_TEST_NETWORK,
),
labels=ProjectConstants._TEST_LABELS,
encryption_spec=ProjectConstants._TEST_ENCRYPTION_SPEC,
)
_TEST_PIPELINE_RESOURCE_NAME = f"projects/{ProjectConstants._TEST_PROJECT}/locations/us-central1/trainingPipelines/{_TEST_ID}"
_TEST_BUCKET_NAME = "test-bucket"
_TEST_TENSORBOARD_RESOURCE_NAME = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/tensorboards/{_TEST_ID}"
_TEST_MODEL_NAME = f"projects/{ProjectConstants._TEST_PROJECT}/locations/us-central1/models/{_TEST_ID}"
_TEST_CUSTOM_JOB_RESOURCE_NAME = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/customJobs/{_TEST_ID}"
_TEST_CREDENTIALS = mock.Mock(spec=auth_credentials.AnonymousCredentials())
_TEST_SERVING_CONTAINER_PREDICTION_ROUTE = "predict"
_TEST_SERVING_CONTAINER_HEALTH_ROUTE = "metadata"
_TEST_MODEL_DISPLAY_NAME = "model-display-name"
_TEST_TRAINING_FRACTION_SPLIT = 0.6
_TEST_VALIDATION_FRACTION_SPLIT = 0.2
_TEST_TEST_FRACTION_SPLIT = 0.2
_TEST_BOOT_DISK_TYPE_DEFAULT = "pd-ssd"
_TEST_BOOT_DISK_SIZE_GB_DEFAULT = 100
# # DUPLICATE: THIS NEEDS TO BE MOVED TO THE TRAINING JOB TEST THAT USES IT
_TEST_PIPELINE_RESOURCE_NAME = (
"projects/my-project/locations/us-central1/trainingPipelines/12345"
)
_TEST_DEFAULT_ENCRYPTION_KEY_NAME = "key_default"
_TEST_SPOT_STRATEGY = custom_job.Scheduling.Strategy.SPOT
def create_tpu_job_proto(tpu_version):
worker_pool_spec = (
TrainingJobConstants._TEST_TPU_V5E_WORKER_POOL_SPEC
if tpu_version == "v5e"
else TrainingJobConstants._TEST_TPU_V3_WORKER_POOL_SPEC
)
return custom_job.CustomJob(
display_name=TrainingJobConstants._TEST_DISPLAY_NAME,
job_spec=custom_job.CustomJobSpec(
worker_pool_specs=worker_pool_spec,
base_output_directory=io.GcsDestination(
output_uri_prefix=TrainingJobConstants._TEST_BASE_OUTPUT_DIR
),
scheduling=custom_job.Scheduling(
timeout=TrainingJobConstants._TEST_TIMEOUT_SECONDS,
restart_job_on_worker_restart=TrainingJobConstants._TEST_RESTART_JOB_ON_WORKER_RESTART,
),
service_account=ProjectConstants._TEST_SERVICE_ACCOUNT,
network=TrainingJobConstants._TEST_NETWORK,
),
)
@dataclasses.dataclass(frozen=True)
class ModelConstants:
"""Defines constants used by tests that create model resources."""
_TEST_MODEL_NAME = "123"
_TEST_ID = "1028944691210842416"
_TEST_VERSION_ID = "2"
_TEST_MODEL_RESOURCE_NAME = model_service_client.ModelServiceClient.model_path(
ProjectConstants._TEST_PROJECT, ProjectConstants._TEST_LOCATION, _TEST_ID
)
_TEST_MODEL_PARENT = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/models/{_TEST_MODEL_NAME}"
_TEST_VERSION_ALIAS_1 = "myalias"
_TEST_VERSION_ALIAS_2 = "youralias"
_TEST_MODEL_VERSION_DESCRIPTION_2 = "My version 2 description"
_TEST_SERVING_CONTAINER_IMAGE = "gcr.io/test-serving/container:image"
_TEST_EXPLANATION_PARAMETERS = explain.ExplanationParameters(
{"sampled_shapley_attribution": {"path_count": 10}}
)
_TEST_LABEL = {"team": "experimentation", "trial_id": "x435"}
_TEST_MODEL_OBJ_WITH_VERSION = model.Model(
version_id=_TEST_VERSION_ID,
create_time=timestamp_pb2.Timestamp(),
update_time=timestamp_pb2.Timestamp(),
display_name=_TEST_MODEL_NAME,
name=f"{_TEST_MODEL_PARENT}@{_TEST_VERSION_ID}",
version_aliases=[_TEST_VERSION_ALIAS_1, _TEST_VERSION_ALIAS_2],
version_description=_TEST_MODEL_VERSION_DESCRIPTION_2,
)
_TEST_MODEL_EVAL_METRICS = {
"auPrc": 0.80592036,
"auRoc": 0.8100363,
"logLoss": 0.53061414,
"confidenceMetrics": [
{
"confidenceThreshold": -0.01,
"recall": 1.0,
"precision": 0.5,
"falsePositiveRate": 1.0,
"f1Score": 0.6666667,
"recallAt1": 1.0,
"precisionAt1": 0.5,
"falsePositiveRateAt1": 1.0,
"f1ScoreAt1": 0.6666667,
"truePositiveCount": "415",
"falsePositiveCount": "415",
},
{
"recall": 1.0,
"precision": 0.5,
"falsePositiveRate": 1.0,
"f1Score": 0.6666667,
"recallAt1": 0.74216866,
"precisionAt1": 0.74216866,
"falsePositiveRateAt1": 0.25783134,
"f1ScoreAt1": 0.74216866,
"truePositiveCount": "415",
"falsePositiveCount": "415",
},
],
}
@dataclasses.dataclass(frozen=True)
class EndpointConstants:
"""Defines constants used by tests that create endpoints."""
_TEST_DISPLAY_NAME = "test-display-name"
_TEST_DISPLAY_NAME_2 = "test-display-name-2"
_TEST_DISPLAY_NAME_3 = "test-display-name-3"
_TEST_ID = "1028944691210842416"
_TEST_ID_2 = "4366591682456584192"
_TEST_ID_3 = "5820582938582924817"
_TEST_ENDPOINT_NAME = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/endpoints/{_TEST_ID}"
_TEST_ENDPOINT_NAME_2 = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/endpoints/{_TEST_ID_2}"
_TEST_DISPLAY_NAME = "test-display-name"
_TEST_DEPLOYED_MODELS = [
endpoint.DeployedModel(id=_TEST_ID, display_name=_TEST_DISPLAY_NAME),
endpoint.DeployedModel(id=_TEST_ID_2, display_name=_TEST_DISPLAY_NAME_2),
endpoint.DeployedModel(id=_TEST_ID_3, display_name=_TEST_DISPLAY_NAME_3),
]
_TEST_TRAFFIC_SPLIT = {_TEST_ID: 0, _TEST_ID_2: 100, _TEST_ID_3: 0}
_TEST_MODEL_ID = "1028944691210842416"
_TEST_PREDICTION = [[1.0, 2.0, 3.0], [3.0, 3.0, 1.0]]
_TEST_VERSION_ID = "1"
_TEST_MODEL_NAME = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/models/{_TEST_ID}"
@dataclasses.dataclass(frozen=True)
class TensorboardConstants:
"""Defines constants used by tests that create Tensorboard resources."""
_TEST_ID = "1028944691210842416"
_TEST_DISPLAY_NAME = "my_tensorboard_1234"
_TEST_TENSORBOARD_NAME = f"{ProjectConstants._TEST_PARENT}/tensorboards/{_TEST_ID}"
_TEST_TENSORBOARD_EXPERIMENT_ID = "test-experiment"
_TEST_TENSORBOARD_EXPERIMENT_NAME = (
f"{_TEST_TENSORBOARD_NAME}/experiments/{_TEST_TENSORBOARD_EXPERIMENT_ID}"
)
_TEST_TENSORBOARD_RUN_ID = "test-run"
_TEST_TENSORBOARD_RUN_NAME = (
f"{_TEST_TENSORBOARD_EXPERIMENT_NAME}/runs/{_TEST_TENSORBOARD_RUN_ID}"
)
_TEST_TENSORBOARD_RUN = tensorboard_run.TensorboardRun(
name=_TEST_TENSORBOARD_RUN_NAME,
display_name=_TEST_DISPLAY_NAME,
)
_TEST_TENSORBOARD_TIME_SERIES_ID = "test-time-series"
_TEST_TENSORBOARD_TIME_SERIES_NAME = (
f"{_TEST_TENSORBOARD_RUN_NAME}/timeSeries/{_TEST_TENSORBOARD_TIME_SERIES_ID}"
)
_TEST_TIME_SERIES_DISPLAY_NAME = "accuracy"
_TEST_TENSORBOARD_TIME_SERIES = tensorboard_time_series.TensorboardTimeSeries(
name=_TEST_TENSORBOARD_TIME_SERIES_NAME,
display_name=_TEST_TIME_SERIES_DISPLAY_NAME,
value_type=tensorboard_time_series.TensorboardTimeSeries.ValueType.SCALAR,
)
_TEST_TENSORBOARD_TIME_SERIES_DATA = tensorboard_data.TimeSeriesData(
tensorboard_time_series_id=_TEST_TENSORBOARD_TIME_SERIES_ID,
value_type=tensorboard_time_series.TensorboardTimeSeries.ValueType.SCALAR,
values=[
tensorboard_data.TimeSeriesDataPoint(
scalar=tensorboard_data.Scalar(value=1.0),
step=1,
wall_time=utils.get_timestamp_proto(),
)
],
)
_TEST_TENSORBOARD_EXPERIMENT = tensorboard_experiment.TensorboardExperiment(
name=_TEST_TENSORBOARD_EXPERIMENT_NAME,
display_name=_TEST_DISPLAY_NAME,
)
@dataclasses.dataclass(frozen=True)
class PipelineJobConstants:
"""Defines constants used by tests that create PipelineJob resources."""
_TEST_PIPELINE_JOB_ID = "sample-test-pipeline-202111111"
_TEST_PIPELINE_JOB_NAME = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/pipelineJobs/{_TEST_PIPELINE_JOB_ID}"
_TEST_PIPELINE_CREATE_TIME = datetime.now()
@dataclasses.dataclass(frozen=True)
class DatasetConstants:
"""Defines constants used by tests that create Dataset resources."""
_TEST_ID = "1028944691210842416"
_TEST_NAME = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/datasets/{_TEST_ID}"
_TEST_DISPLAY_NAME = "my_dataset_1234"
_TEST_ENCRYPTION_KEY_NAME = "key_1234"
_TEST_METADATA_SCHEMA_URI_TEXT = schema.dataset.metadata.text
_TEST_ENCRYPTION_SPEC = encryption_spec.EncryptionSpec(
kms_key_name=_TEST_ENCRYPTION_KEY_NAME
)
_TEST_METADATA_SCHEMA_URI_NONTABULAR = schema.dataset.metadata.image
_TEST_NONTABULAR_DATASET_METADATA = None
_TEST_IMPORT_SCHEMA_URI = schema.dataset.ioformat.image.single_label_classification
_TEST_IMPORT_SCHEMA_URI_IMAGE = (
schema.dataset.ioformat.image.single_label_classification
)
_TEST_DATA_LABEL_ITEMS = None
_TEST_REQUEST_METADATA = ()
_TEST_SOURCE_URI_GCS = "gs://my-bucket/my_index_file.jsonl"
@dataclasses.dataclass(frozen=True)
class ExperimentConstants:
"""Defines constants used by Experiments and Metadata tests."""
_TEST_EXPERIMENT = "test-experiment"
_TEST_CONTEXT_ID = _TEST_EXPERIMENT
_TEST_METADATA_PARENT = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/metadataStores/default"
_TEST_CONTEXT_NAME = f"{_TEST_METADATA_PARENT}/contexts/{_TEST_CONTEXT_ID}"
_TEST_EXPERIMENT_DESCRIPTION = "test-experiment-description"
_EXPERIMENT_MOCK = context.Context(
name=_TEST_CONTEXT_NAME,
display_name=_TEST_EXPERIMENT,
description=_TEST_EXPERIMENT_DESCRIPTION,
schema_title=metadata_constants.SYSTEM_EXPERIMENT,
schema_version=metadata_constants.SCHEMA_VERSIONS[
metadata_constants.SYSTEM_EXPERIMENT
],
metadata={**metadata_constants.EXPERIMENT_METADATA},
)
_TEST_METADATASTORE = f"projects/{ProjectConstants._TEST_PROJECT}/locations/{ProjectConstants._TEST_LOCATION}/metadataStores/default"
@dataclasses.dataclass(frozen=True)
class MatchingEngineConstants:
"""Defines constants used by tests that create MatchingEngine resources."""
_TEST_INDEX_ID = "index_id"
_TEST_INDEX_NAME = f"{ProjectConstants._TEST_PARENT}/indexes/{_TEST_INDEX_ID}"
_TEST_INDEX_DISPLAY_NAME = "index_display_name"
_TEST_INDEX_DESCRIPTION = "index_description"
_TEST_LABELS = {"my_key": "my_value"}
_TEST_LABELS_UPDATE = {"my_key_update": "my_value_update"}
_TEST_DISPLAY_NAME_UPDATE = "my new display name"
_TEST_DESCRIPTION_UPDATE = "my description update"
_TEST_REQUEST_METADATA = ()
@dataclasses.dataclass(frozen=True)
class PersistentResourceConstants:
"""Defines constants used by tests that create PersistentResource resources."""
_TEST_PERSISTENT_RESOURCE_ID = "test_persistent_resource_id"
_TEST_PERSISTENT_RESOURCE_DISPLAY_NAME = "test_display_name"
_TEST_RESOURCE_POOL = {
"machine_spec": TrainingJobConstants._TEST_MACHINE_SPEC,
"replica_count": 1,
}
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