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I have submitted a pull request that introduces the ability to define schedules in Airflow DAGs based on logical conditions between datasets. This feature allows DAGs to be dynamically triggered depending on the availability and logical evaluation of datasets, making scheduling more flexible and adaptable to varying data inputs.
The pull request has been submitted, and I would appreciate it if someone could review the changes. Please let me know if any modifications are needed or if further clarification is required. If anything is outside the established standards, please notify me, and I will work to resolve it.
Description
I have submitted a pull request that introduces the ability to define schedules in Airflow DAGs based on logical conditions between datasets. This feature allows DAGs to be dynamically triggered depending on the availability and logical evaluation of datasets, making scheduling more flexible and adaptable to varying data inputs.
#320
The pull request has been submitted, and I would appreciate it if someone could review the changes. Please let me know if any modifications are needed or if further clarification is required. If anything is outside the established standards, please notify me, and I will work to resolve it.
Use case/motivation
https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/datasets.html#logical-operators-for-datasets
Related issues
No response
Are you willing to submit a PR?
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