Source code for tests.system.providers.google.cloud.vision.example_vision_annotate_image

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from __future__ import annotations

import os
from datetime import datetime

from airflow import models
from airflow.models.baseoperator import chain
from airflow.operators.bash import BashOperator
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.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 import enums  # 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_annotate_image"
[docs]LOCATION = "europe-west1"
[docs]BUCKET_NAME = f"bucket-{DAG_ID}-{ENV_ID}"
[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": enums.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/ocr/sign.jpg"
with models.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_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( create_bucket, copy_single_file, 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, 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)

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