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tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking¶

Example Airflow DAG that uses Google AutoML services.

Attributes¶

`ENV_ID`
`PROJECT_ID`
`DAG_ID`
`REGION`
`VIDEO_DISPLAY_NAME`
`MODEL_DISPLAY_NAME`
`RESOURCE_DATA_BUCKET`
`VIDEO_GCS_BUCKET_NAME`
`VIDEO_DATASET`
`VIDEO_DATA_CONFIG`
`create_bucket`
`test_run`

Module Contents¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.ENV_ID[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.PROJECT_ID[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.DAG_ID = 'automl_video_track'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.REGION = 'us-central1'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.VIDEO_DISPLAY_NAME = 'auto-ml-video-tracking-Uninferable'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.MODEL_DISPLAY_NAME = 'auto-ml-video-tracking-model-Uninferable'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.RESOURCE_DATA_BUCKET = 'airflow-system-tests-resources'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.VIDEO_GCS_BUCKET_NAME = ''[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.VIDEO_DATASET[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.VIDEO_DATA_CONFIG[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.create_bucket[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_tracking.test_run[source]¶

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