# README
Airflow v2.x
Currently, allows configuring dags to be loaded from
- GCS bucket
- Local filesystem
- inmemory
Implementation already supports variety of other systems, just need to configure them.
For using a fs that needs auth, it is required to create a project secret with
STORAGE
as key and base64 encoded service account/token as value.
Optimus also provides api to get currently running job status using airflow APIs.
For this to work, it is required to register a secret with SCHEDULER_AUTH
as key and
base64 encoded username:password
as token. This assumes airflow is configured
to use basic auth on api by default.
# Functions
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# Constants
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# Variables
go:embed __lib.py.
# Structs
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# Interfaces
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