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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 (
CloudVisionDetectImageLabelsOperator,
CloudVisionDetectImageSafeSearchOperator,
CloudVisionDetectTextOperator,
CloudVisionImageAnnotateOperator,
CloudVisionTextDetectOperator,
)
from airflow.providers.google.cloud.transfers.gcs_to_gcs import GCSToGCSOperator
from airflow.providers.standard.operators.bash import BashOperator
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_enums_import]
from google.cloud.vision_v1 import Feature # isort:skip
from providers.tests.system.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
# [END howto_operator_vision_enums_import]
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
[docs]DAG_ID = "gcp_vision_annotate_image"
[docs]LOCATION = "europe-west1"
[docs]BUCKET_NAME = f"bucket-{DAG_ID}-{ENV_ID}".replace("_", "-")
[docs]FILE_NAME = "image1.jpg"
[docs]GCP_VISION_ANNOTATE_IMAGE_URL = f"gs://{BUCKET_NAME}/{FILE_NAME}"
# [START howto_operator_vision_annotate_image_request]
[docs]annotate_image_request = {
"image": {"source": {"image_uri": GCP_VISION_ANNOTATE_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": GCP_VISION_ANNOTATE_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/logo/google_logo.jpg"
with DAG(
DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "vision", "annotate_image"],
) 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_annotate_image]
annotate_image = CloudVisionImageAnnotateOperator(
request=annotate_image_request,
retry=Retry(maximum=10.0),
timeout=5,
task_id="annotate_image",
)
# [END howto_operator_vision_annotate_image]
# [START howto_operator_vision_annotate_image_result]
annotate_image_result = BashOperator(
bash_command="echo {{ task_instance.xcom_pull('annotate_image')"
"['logoAnnotations'][0]['description'] }}",
task_id="annotate_image_result",
)
# [END howto_operator_vision_annotate_image_result]
# [START howto_operator_vision_detect_text]
detect_text = CloudVisionDetectTextOperator(
image=DETECT_IMAGE,
retry=Retry(maximum=10.0),
timeout=5,
task_id="detect_text",
language_hints="en",
web_detection_params={"include_geo_results": True},
)
# [END howto_operator_vision_detect_text]
# [START howto_operator_vision_detect_text_result]
detect_text_result = BashOperator(
bash_command="echo {{ task_instance.xcom_pull('detect_text')['textAnnotations'][0] }}",
task_id="detect_text_result",
)
# [END howto_operator_vision_detect_text_result]
# [START howto_operator_vision_document_detect_text]
document_detect_text = CloudVisionTextDetectOperator(
image=DETECT_IMAGE, retry=Retry(maximum=10.0), timeout=5, task_id="document_detect_text"
)
# [END howto_operator_vision_document_detect_text]
# [START howto_operator_vision_document_detect_text_result]
document_detect_text_result = BashOperator(
bash_command="echo {{ task_instance.xcom_pull('document_detect_text')['textAnnotations'][0] }}",
task_id="document_detect_text_result",
)
# [END howto_operator_vision_document_detect_text_result]
# [START howto_operator_vision_detect_labels]
detect_labels = CloudVisionDetectImageLabelsOperator(
image=DETECT_IMAGE, retry=Retry(maximum=10.0), timeout=5, task_id="detect_labels"
)
# [END howto_operator_vision_detect_labels]
# [START howto_operator_vision_detect_labels_result]
detect_labels_result = BashOperator(
bash_command="echo {{ task_instance.xcom_pull('detect_labels')['labelAnnotations'][0] }}",
task_id="detect_labels_result",
)
# [END howto_operator_vision_detect_labels_result]
# [START howto_operator_vision_detect_safe_search]
detect_safe_search = CloudVisionDetectImageSafeSearchOperator(
image=DETECT_IMAGE, retry=Retry(maximum=10.0), timeout=5, task_id="detect_safe_search"
)
# [END howto_operator_vision_detect_safe_search]
# [START howto_operator_vision_detect_safe_search_result]
detect_safe_search_result = BashOperator(
bash_command=f"echo {detect_safe_search.output}",
task_id="detect_safe_search_result",
)
# [END howto_operator_vision_detect_safe_search_result]
delete_bucket = GCSDeleteBucketOperator(
task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
)
chain(
# TEST SETUP
create_bucket,
copy_single_file,
# TEST BODY
annotate_image,
annotate_image_result,
detect_text,
detect_text_result,
document_detect_text,
document_detect_text_result,
detect_labels,
detect_labels_result,
detect_safe_search,
detect_safe_search_result,
# TEST TEARDOWN
delete_bucket,
)
from tests_common.test_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_common.test_utils.system_tests 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)