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

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

.. autoapi-nested-parse::

   Data Pipeline Framework for SDA Dashboard.

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

   This module implements a simplified, efficient pipeline architecture using Flask-Caching:

   1. Load (& validate) → 2. Filter columns → 3. Filter rows → 4. Plot

   The Flask-Caching Pipeline provides:
   - Automatic memoization of pipeline stages
   - Native Flask/Dash integration
   - Easy cache invalidation
   - Production-ready scaling (Redis support)
   - Elimination of callback loops through proper caching



Submodules
----------

.. toctree::
   :maxdepth: 1

   /_api/sda/dashboard/pipeline/flask_cache_pipeline/index


Classes
-------

.. autoapisummary::

   sda.dashboard.pipeline.FlaskCachePipeline


Package 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.