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#
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from __future__ import annotations
import os
from datetime import datetime
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.operators.vision import (
CloudVisionAddProductToProductSetOperator,
CloudVisionCreateProductOperator,
CloudVisionCreateProductSetOperator,
CloudVisionCreateReferenceImageOperator,
CloudVisionDeleteProductOperator,
CloudVisionDeleteProductSetOperator,
CloudVisionDeleteReferenceImageOperator,
CloudVisionGetProductOperator,
CloudVisionGetProductSetOperator,
CloudVisionRemoveProductFromProductSetOperator,
CloudVisionUpdateProductOperator,
CloudVisionUpdateProductSetOperator,
)
from airflow.providers.google.cloud.transfers.gcs_to_gcs import GCSToGCSOperator
from airflow.utils.trigger_rule import TriggerRule
# [START howto_operator_vision_retry_import]
from google.api_core.retry import Retry # isort:skip
# [END howto_operator_vision_retry_import]
# [START howto_operator_vision_product_set_import]
from google.cloud.vision_v1.types import ProductSet # isort:skip
# [END howto_operator_vision_product_set_import]
# [START howto_operator_vision_product_import]
from google.cloud.vision_v1.types import Product # isort:skip
# [END howto_operator_vision_product_import]
# [START howto_operator_vision_reference_image_import]
from google.cloud.vision_v1.types import ReferenceImage # isort:skip
# [END howto_operator_vision_reference_image_import]
# [START howto_operator_vision_enums_import]
from google.cloud.vision_v1 import Feature # isort:skip
# [END howto_operator_vision_enums_import]
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]DAG_ID = "example_gcp_vision_autogenerated_id"
[docs]LOCATION = "europe-west1"
[docs]BUCKET_NAME = f"bucket-{DAG_ID}-{ENV_ID}"
[docs]FILE_NAME = "image1.jpg"
[docs]GCP_VISION_PRODUCT_SET_ID = "product_set_explicit_id"
[docs]GCP_VISION_PRODUCT_ID = "product_explicit_id"
[docs]GCP_VISION_REFERENCE_IMAGE_ID = f"reference_image_explicit_id-{ENV_ID}"
[docs]VISION_IMAGE_URL = f"gs://{BUCKET_NAME}/{FILE_NAME}"
# [START howto_operator_vision_product_set]
[docs]product_set = ProductSet(display_name="My Product Set")
# [END howto_operator_vision_product_set]
# [START howto_operator_vision_product]
[docs]product = Product(display_name="My Product 1", product_category="toys")
# [END howto_operator_vision_product]
# [START howto_operator_vision_reference_image]
[docs]reference_image = ReferenceImage(uri=VISION_IMAGE_URL)
# [END howto_operator_vision_reference_image]
# [START howto_operator_vision_annotate_image_request]
[docs]annotate_image_request = {
"image": {"source": {"image_uri": VISION_IMAGE_URL}},
"features": [{"type_": Feature.Type.LOGO_DETECTION}],
}
# [END howto_operator_vision_annotate_image_request]
# [START howto_operator_vision_detect_image_param]
[docs]DETECT_IMAGE = {"source": {"image_uri": VISION_IMAGE_URL}}
# [END howto_operator_vision_detect_image_param]
# Public bucket holding the sample data
[docs]BUCKET_NAME_SRC = "cloud-samples-data"
# Path to the data inside the public bucket
[docs]PATH_SRC = "vision/ocr/sign.jpg"
with DAG(
DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "vision"],
) as dag:
[docs] create_bucket = GCSCreateBucketOperator(
task_id="create_bucket", project_id=PROJECT_ID, bucket_name=BUCKET_NAME
)
copy_single_file = GCSToGCSOperator(
task_id="copy_single_gcs_file",
source_bucket=BUCKET_NAME_SRC,
source_object=[PATH_SRC],
destination_bucket=BUCKET_NAME,
destination_object=FILE_NAME,
)
# [START howto_operator_vision_product_set_create]
product_set_create = CloudVisionCreateProductSetOperator(
location=LOCATION,
product_set=product_set,
retry=Retry(maximum=10.0),
timeout=5,
task_id="product_set_create",
)
# [END howto_operator_vision_product_set_create]
product_set_create_output = "{{ task_instance.xcom_pull('product_set_create') }}"
# [START howto_operator_vision_product_set_get]
product_set_get = CloudVisionGetProductSetOperator(
location=LOCATION,
product_set_id=product_set_create_output,
task_id="product_set_get",
)
# [END howto_operator_vision_product_set_get]
# [START howto_operator_vision_product_set_update]
product_set_update = CloudVisionUpdateProductSetOperator(
location=LOCATION,
product_set_id=product_set_create_output,
product_set=ProductSet(display_name="My Product Set 2"),
task_id="product_set_update",
)
# [END howto_operator_vision_product_set_update]
# [START howto_operator_vision_product_set_delete]
product_set_delete = CloudVisionDeleteProductSetOperator(
location=LOCATION,
product_set_id=product_set_create_output,
task_id="product_set_delete",
)
# [END howto_operator_vision_product_set_delete]
# [START howto_operator_vision_product_create]
product_create = CloudVisionCreateProductOperator(
location=LOCATION,
product=product,
retry=Retry(maximum=10.0),
timeout=5,
task_id="product_create",
)
# [END howto_operator_vision_product_create]
# [START howto_operator_vision_product_get]
product_get = CloudVisionGetProductOperator(
location=LOCATION,
product_id="{{ task_instance.xcom_pull('product_create') }}",
task_id="product_get",
)
# [END howto_operator_vision_product_get]
# [START howto_operator_vision_product_update]
product_update = CloudVisionUpdateProductOperator(
location=LOCATION,
product_id="{{ task_instance.xcom_pull('product_create') }}",
product=Product(display_name="My Product 2", description="My updated description"),
task_id="product_update",
)
# [END howto_operator_vision_product_update]
# [START howto_operator_vision_product_delete]
product_delete = CloudVisionDeleteProductOperator(
location=LOCATION,
product_id="{{ task_instance.xcom_pull('product_create') }}",
task_id="product_delete",
)
# [END howto_operator_vision_product_delete]
# [START howto_operator_vision_reference_image_create]
reference_image_create = CloudVisionCreateReferenceImageOperator(
location=LOCATION,
reference_image=reference_image,
product_id="{{ task_instance.xcom_pull('product_create') }}",
reference_image_id=GCP_VISION_REFERENCE_IMAGE_ID,
retry=Retry(maximum=10.0),
timeout=5,
task_id="reference_image_create",
)
# [END howto_operator_vision_reference_image_create]
# [START howto_operator_vision_reference_image_delete]
reference_image_delete = CloudVisionDeleteReferenceImageOperator(
location=LOCATION,
product_id="{{ task_instance.xcom_pull('product_create') }}",
reference_image_id=GCP_VISION_REFERENCE_IMAGE_ID,
retry=Retry(maximum=10.0),
timeout=5,
task_id="reference_image_delete",
)
# [END howto_operator_vision_reference_image_delete]
# [START howto_operator_vision_add_product_to_product_set]
add_product_to_product_set = CloudVisionAddProductToProductSetOperator(
location=LOCATION,
product_set_id=product_set_create_output,
product_id="{{ task_instance.xcom_pull('product_create') }}",
retry=Retry(maximum=10.0),
timeout=5,
task_id="add_product_to_product_set",
)
# [END howto_operator_vision_add_product_to_product_set]
# [START howto_operator_vision_remove_product_from_product_set]
remove_product_from_product_set = CloudVisionRemoveProductFromProductSetOperator(
location=LOCATION,
product_set_id=product_set_create_output,
product_id="{{ task_instance.xcom_pull('product_create') }}",
retry=Retry(maximum=10.0),
timeout=5,
task_id="remove_product_from_product_set",
)
# [END howto_operator_vision_remove_product_from_product_set]
delete_bucket = GCSDeleteBucketOperator(
task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
)
chain(
create_bucket,
copy_single_file,
product_create,
product_get,
product_update,
product_set_create,
product_set_get,
product_set_update,
reference_image_create,
add_product_to_product_set,
reference_image_delete,
remove_product_from_product_set,
product_set_delete,
product_delete,
delete_bucket,
)
from tests.system.utils.watcher import watcher
# This test needs watcher in order to properly mark success/failure
# when "teardown" task with trigger rule is part of the DAG
list(dag.tasks) >> watcher()
from tests.system.utils import get_test_run # noqa: E402
# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)