tests.system.providers.google.cloud.natural_language.example_natural_language
¶
Example Airflow DAG for Google Cloud Natural Language service
Module Contents¶
- tests.system.providers.google.cloud.natural_language.example_natural_language.DAG_ID = example_gcp_natural_language[source]¶
- tests.system.providers.google.cloud.natural_language.example_natural_language.TEXT = Multiline-String[source]¶
Show Value
1Airflow is a platform to programmatically author, schedule and monitor workflows. 2 3Use Airflow to author workflows as Directed Acyclic Graphs (DAGs) of tasks. The Airflow scheduler executes 4 your tasks on an array of workers while following the specified dependencies. Rich command line utilities 5 make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize 6 pipelines running in production, monitor progress, and troubleshoot issues when needed.
- tests.system.providers.google.cloud.natural_language.example_natural_language.GCS_CONTENT_URI = gs://INVALID BUCKET NAME/sentiment-me.txt[source]¶