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.ENV_ID[source]
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.document[source]
tests.system.providers.google.cloud.natural_language.example_natural_language.GCS_CONTENT_URI = gs://INVALID BUCKET NAME/sentiment-me.txt[source]
tests.system.providers.google.cloud.natural_language.example_natural_language.document_gcs[source]
tests.system.providers.google.cloud.natural_language.example_natural_language.analyze_entities[source]
tests.system.providers.google.cloud.natural_language.example_natural_language.test_run[source]

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