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# Copyright 2020 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
#
# https://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.

# [START aiplatform_cancel_custom_job_sample]
from google.cloud import aiplatform


def cancel_custom_job_sample(
project: str,
custom_job_id: str,
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
):
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.JobServiceClient(client_options=client_options)
name = client.custom_job_path(
project=project, location=location, custom_job=custom_job_id
)
response = client.cancel_custom_job(name=name)
print("response:", response)


# [END aiplatform_cancel_custom_job_sample]
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# Copyright 2020 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
#
# https://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.

# [START aiplatform_cancel_data_labeling_job_sample]
from google.cloud import aiplatform


def cancel_data_labeling_job_sample(
project: str,
data_labeling_job_id: str,
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
):
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.JobServiceClient(client_options=client_options)
name = client.data_labeling_job_path(
project=project, location=location, data_labeling_job=data_labeling_job_id
)
response = client.cancel_data_labeling_job(name=name)
print("response:", response)


# [END aiplatform_cancel_data_labeling_job_sample]
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# Copyright 2020 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
#
# https://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.

# [START aiplatform_cancel_hyperparameter_tuning_job_sample]
from google.cloud import aiplatform


def cancel_hyperparameter_tuning_job_sample(
project: str,
hyperparameter_tuning_job_id: str,
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
):
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.JobServiceClient(client_options=client_options)
name = client.hyperparameter_tuning_job_path(
project=project,
location=location,
hyperparameter_tuning_job=hyperparameter_tuning_job_id,
)
response = client.cancel_hyperparameter_tuning_job(name=name)
print("response:", response)


# [END aiplatform_cancel_hyperparameter_tuning_job_sample]
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# Copyright 2020 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
#
# https://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.

# [START aiplatform_cancel_training_pipeline_sample]
from google.cloud import aiplatform


def cancel_training_pipeline_sample(
project: str,
training_pipeline_id: str,
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
):
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.PipelineServiceClient(client_options=client_options)
name = client.training_pipeline_path(
project=project, location=location, training_pipeline=training_pipeline_id
)
response = client.cancel_training_pipeline(name=name)
print("response:", response)


# [END aiplatform_cancel_training_pipeline_sample]
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# Copyright 2020 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
#
# https://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.

# [START aiplatform_create_batch_prediction_job_video_classification_sample]
from google.cloud import aiplatform
from google.protobuf import json_format
from google.protobuf.struct_pb2 import Value


def create_batch_prediction_job_video_classification_sample(
project: str,
display_name: str,
model_name: str,
gcs_source_uri: str,
gcs_destination_output_uri_prefix: str,
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
):
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.JobServiceClient(client_options=client_options)
model_parameters_dict = {
"confidenceThreshold": 0.5,
"maxPredictions": 10000,
"segmentClassification": True,
"shotClassification": True,
"oneSecIntervalClassification": True,
}
model_parameters = json_format.ParseDict(model_parameters_dict, Value())

batch_prediction_job = {
"display_name": display_name,
# Format: 'projects/{project}/locations/{location}/models/{model_id}'
"model": model_name,
"model_parameters": model_parameters,
"input_config": {
"instances_format": "jsonl",
"gcs_source": {"uris": [gcs_source_uri]},
},
"output_config": {
"predictions_format": "jsonl",
"gcs_destination": {"output_uri_prefix": gcs_destination_output_uri_prefix},
},
}
parent = f"projects/{project}/locations/{location}"
response = client.create_batch_prediction_job(
parent=parent, batch_prediction_job=batch_prediction_job
)
print("response:", response)


# [END aiplatform_create_batch_prediction_job_video_classification_sample]
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