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manage_dataset.py
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manage_dataset.py
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#!/usr/bin/env python
# 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 argparse
import os
from google.api_core.client_options import ClientOptions
# [START datalabeling_create_dataset_beta]
def create_dataset(project_id):
"""Creates a dataset for the given Google Cloud project."""
from google.cloud import datalabeling_v1beta1 as datalabeling
client = datalabeling.DataLabelingServiceClient()
# [END datalabeling_create_dataset_beta]
# If provided, use a provided test endpoint - this will prevent tests on
# this snippet from triggering any action by a real human
if "DATALABELING_ENDPOINT" in os.environ:
opts = ClientOptions(api_endpoint=os.getenv("DATALABELING_ENDPOINT"))
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_create_dataset_beta]
formatted_project_name = f"projects/{project_id}"
dataset = datalabeling.Dataset(
display_name="YOUR_DATASET_SET_DISPLAY_NAME", description="YOUR_DESCRIPTION"
)
response = client.create_dataset(
request={"parent": formatted_project_name, "dataset": dataset}
)
# The format of resource name:
# project_id/{project_id}/datasets/{dataset_id}
print("The dataset resource name: {}".format(response.name))
print("Display name: {}".format(response.display_name))
print("Description: {}".format(response.description))
print("Create time:")
print("\tseconds: {}".format(response.create_time.timestamp_pb().seconds))
print("\tnanos: {}\n".format(response.create_time.timestamp_pb().nanos))
return response
# [END datalabeling_create_dataset_beta]
# [START datalabeling_list_datasets_beta]
def list_datasets(project_id):
"""Lists datasets for the given Google Cloud project."""
from google.cloud import datalabeling_v1beta1 as datalabeling
client = datalabeling.DataLabelingServiceClient()
# [END datalabeling_list_datasets_beta]
# If provided, use a provided test endpoint - this will prevent tests on
# this snippet from triggering any action by a real human
if "DATALABELING_ENDPOINT" in os.environ:
opts = ClientOptions(api_endpoint=os.getenv("DATALABELING_ENDPOINT"))
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_list_datasets_beta]
formatted_project_name = f"projects/{project_id}"
response = client.list_datasets(request={"parent": formatted_project_name})
for element in response:
# The format of resource name:
# project_id/{project_id}/datasets/{dataset_id}
print("The dataset resource name: {}\n".format(element.name))
print("Display name: {}".format(element.display_name))
print("Description: {}".format(element.description))
print("Create time:")
print("\tseconds: {}".format(element.create_time.timestamp_pb().seconds))
print("\tnanos: {}".format(element.create_time.timestamp_pb().nanos))
# [END datalabeling_list_datasets_beta]
# [START datalabeling_get_dataset_beta]
def get_dataset(dataset_resource_name):
"""Gets a dataset for the given Google Cloud project."""
from google.cloud import datalabeling_v1beta1 as datalabeling
client = datalabeling.DataLabelingServiceClient()
# [END datalabeling_get_dataset_beta]
# If provided, use a provided test endpoint - this will prevent tests on
# this snippet from triggering any action by a real human
if "DATALABELING_ENDPOINT" in os.environ:
opts = ClientOptions(api_endpoint=os.getenv("DATALABELING_ENDPOINT"))
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_get_dataset_beta]
response = client.get_dataset(request={"name": dataset_resource_name})
print("The dataset resource name: {}\n".format(response.name))
print("Display name: {}".format(response.display_name))
print("Description: {}".format(response.description))
print("Create time:")
print("\tseconds: {}".format(response.create_time.timestamp_pb().seconds))
print("\tnanos: {}".format(response.create_time.timestamp_pb().nanos))
# [END datalabeling_get_dataset_beta]
# [START datalabeling_delete_dataset_beta]
def delete_dataset(dataset_resource_name):
"""Deletes a dataset for the given Google Cloud project."""
from google.cloud import datalabeling_v1beta1 as datalabeling
client = datalabeling.DataLabelingServiceClient()
# [END datalabeling_delete_dataset_beta]
# If provided, use a provided test endpoint - this will prevent tests on
# this snippet from triggering any action by a real human
if "DATALABELING_ENDPOINT" in os.environ:
opts = ClientOptions(api_endpoint=os.getenv("DATALABELING_ENDPOINT"))
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_delete_dataset_beta]
response = client.delete_dataset(request={"name": dataset_resource_name})
print("Dataset deleted. {}\n".format(response))
# [END datalabeling_delete_dataset_beta]
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
)
subparsers = parser.add_subparsers(dest="command")
create_parser = subparsers.add_parser("create", help="Create a new dataset.")
create_parser.add_argument(
"--project-id", help="Project ID. Required.", required=True
)
list_parser = subparsers.add_parser("list", help="List all datasets.")
list_parser.add_argument(
"--project-id", help="Project ID. Required.", required=True
)
get_parser = subparsers.add_parser(
"get", help="Get a dataset by the dataset resource name."
)
get_parser.add_argument(
"--dataset-resource-name",
help="The dataset resource name. Used in the get or delete operation.",
required=True,
)
delete_parser = subparsers.add_parser(
"delete", help="Delete a dataset by the dataset resource name."
)
delete_parser.add_argument(
"--dataset-resource-name",
help="The dataset resource name. Used in the get or delete operation.",
required=True,
)
args = parser.parse_args()
if args.command == "create":
create_dataset(args.project_id)
elif args.command == "list":
list_datasets(args.project_id)
elif args.command == "get":
get_dataset(args.dataset_resource_name)
elif args.command == "delete":
delete_dataset(args.dataset_resource_name)