example_video_intelligence.py

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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

from google.api_core.retry import Retry

from airflow import models
from airflow.operators.bash import BashOperator
from airflow.providers.google.cloud.operators.video_intelligence import (
    CloudVideoIntelligenceDetectVideoExplicitContentOperator,
    CloudVideoIntelligenceDetectVideoLabelsOperator,
    CloudVideoIntelligenceDetectVideoShotsOperator,
)
from airflow.utils.dates import days_ago

# [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 = f"gs://{GCP_BUCKET_NAME}/video.mp4"
# [END howto_operator_video_intelligence_other_args]


with models.DAG(
    "example_gcp_video_intelligence",
    schedule_interval=None,  # Override to match your needs
    start_date=days_ago(1),
    tags=['example'],
) 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