Files
PHANTOM/experiments
Daniel Alves Rösel ef98141ca8 Catchup airline (#31)
* chore: update provider and pricing snitch with agnostic system

* cloning pipelines per mode instance

* updating airline hero section

* fix: must keep airflow secretkey

* fix: fixture update to hotel not shop

* chore: refactored to factory design pattern of pipelines

* chore: clean up definition of composite class of providers
2025-12-11 21:56:12 +01:00
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Products

Agents

Pipeline

Our pipeline technically should follow principles in a style like this:

  • Each step should be defined as an inheriting child of an scikit pipeline step, the granularity of the steps is dictated by the following: a step should be a transformation, augmentation or computation independently, no single stage should run multiple in-itself. This way we can modularize properly all the components and track properly in airflow. A stage can be defined as an sklearn step but then must be transalted to a function that takes the context in our DAG of airflow. All parametrization must be done via contexts.