Source code for airflow.contrib.example_dags.example_gcp_video_intelligence

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"""
Example Airflow DAG that demonstrates operators for the Google Cloud Video Intelligence service in the Google
Cloud Platform.

This DAG relies on the following OS environment variables:

* GCP_BUCKET_NAME - Google Cloud Storage bucket where the file exists.
"""
import os

# [START howto_operator_vision_retry_import]
from google.api_core.retry import Retry

# [END howto_operator_vision_retry_import]

from airflow import models
from airflow.contrib.operators.gcp_video_intelligence_operator import (
    CloudVideoIntelligenceDetectVideoLabelsOperator,
    CloudVideoIntelligenceDetectVideoExplicitContentOperator,
    CloudVideoIntelligenceDetectVideoShotsOperator,
)
from airflow.operators.bash_operator import BashOperator
from airflow.utils.dates import days_ago

default_args = {"start_date": days_ago(1)}
# [END howto_operator_vision_retry_import]

# [START howto_operator_video_intelligence_os_args]
GCP_BUCKET_NAME = os.environ.get(
    "GCP_VIDEO_INTELLIGENCE_BUCKET_NAME", "test-bucket-name"
)
# [END howto_operator_video_intelligence_os_args]


# [START howto_operator_video_intelligence_other_args]
INPUT_URI = "gs://{}/video.mp4".format(GCP_BUCKET_NAME)
# [END howto_operator_video_intelligence_other_args]


with models.DAG(
    "example_gcp_video_intelligence",
    default_args=default_args,
    schedule_interval=None,  # Override to match your needs
) as dag:

    # [START howto_operator_video_intelligence_detect_labels]
    detect_video_label = CloudVideoIntelligenceDetectVideoLabelsOperator(
        input_uri=INPUT_URI,
        output_uri=None,
        video_context=None,
        timeout=5,
        task_id="detect_video_label",
    )
    # [END howto_operator_video_intelligence_detect_labels]

    # [START howto_operator_video_intelligence_detect_labels_result]
    detect_video_label_result = BashOperator(
        bash_command="echo {{ task_instance.xcom_pull('detect_video_label')"
                     "['annotationResults'][0]['shotLabelAnnotations'][0]['entity']}}",
        task_id="detect_video_label_result",
    )
    # [END howto_operator_video_intelligence_detect_labels_result]

    # [START howto_operator_video_intelligence_detect_explicit_content]
    detect_video_explicit_content = CloudVideoIntelligenceDetectVideoExplicitContentOperator(
        input_uri=INPUT_URI,
        output_uri=None,
        video_context=None,
        retry=Retry(maximum=10.0),
        timeout=5,
        task_id="detect_video_explicit_content",
    )
    # [END howto_operator_video_intelligence_detect_explicit_content]

    # [START howto_operator_video_intelligence_detect_explicit_content_result]
    detect_video_explicit_content_result = BashOperator(
        bash_command="echo {{ task_instance.xcom_pull('detect_video_explicit_content')"
                     "['annotationResults'][0]['explicitAnnotation']['frames'][0]}}",
        task_id="detect_video_explicit_content_result",
    )
    # [END howto_operator_video_intelligence_detect_explicit_content_result]

    # [START howto_operator_video_intelligence_detect_video_shots]
    detect_video_shots = CloudVideoIntelligenceDetectVideoShotsOperator(
        input_uri=INPUT_URI,
        output_uri=None,
        video_context=None,
        retry=Retry(maximum=10.0),
        timeout=5,
        task_id="detect_video_shots",
    )
    # [END howto_operator_video_intelligence_detect_video_shots]

    # [START howto_operator_video_intelligence_detect_video_shots_result]
    detect_video_shots_result = BashOperator(
        bash_command="echo {{ task_instance.xcom_pull('detect_video_shots')"
                     "['annotationResults'][0]['shotAnnotations'][0]}}",
        task_id="detect_video_shots_result",
    )
    # [END howto_operator_video_intelligence_detect_video_shots_result]

    detect_video_label >> detect_video_label_result
    detect_video_explicit_content >> detect_video_explicit_content_result
    detect_video_shots >> detect_video_shots_result

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