sda.dashboard.pipeline.flask_cache_pipeline
===========================================

.. py:module:: sda.dashboard.pipeline.flask_cache_pipeline

.. autoapi-nested-parse::

   Flask-Caching Based Pipeline Implementation.

   ==========================================

   This module implements a simplified, robust pipeline using flask_caching
   instead of custom caching logic. This approach provides:

   1. Automatic memoization of pipeline stages
   2. Native Flask/Dash integration
   3. Easy cache invalidation
   4. Production-ready scaling (Redis support)
   5. Elimination of callback loops through proper caching



Classes
-------

.. autoapisummary::

   sda.dashboard.pipeline.flask_cache_pipeline.FlaskCachePipeline


Module Contents
---------------

.. py:class:: FlaskCachePipeline(app, verbose = False)

   Flask-caching based pipeline for SDA Dashboard.


   .. py:attribute:: verbose
      :value: False



   .. py:attribute:: error_handler


   .. py:attribute:: cache


   .. py:method:: load_data(test_name)

      Load and validate test data (cached).



   .. py:method:: select_columns(test_name, user_selection = None)

      Apply column selection logic (cached).



   .. py:method:: configure_filters(test_name, user_selection = None)

      Configure filters for selected columns (cached).



   .. py:method:: apply_filters(test_name, user_selection = None, applied_filters = None)

      Apply row filters to data (cached).

      Filter logic: Start with everything, remove what we don't want.
      - filter_value contains the SELECTED values (what user wants to keep)
      - We exclude the UNSELECTED values (all options minus selected values)
      - User interaction: unselect values to remove them from view



   .. py:method:: create_plot(test_name, user_selection = None, applied_filters = None, plot_config = None)

      Create plot from filtered data (cached).



   .. py:method:: clear_cache(test_name = None)

      Clear cache for specific test or all cache.



   .. py:method:: get_cache_stats()

      Get cache statistics.