pdstools.adm.HealthCheckMarkdown
================================

.. py:module:: pdstools.adm.HealthCheckMarkdown


Classes
-------

.. autoapisummary::

   pdstools.adm.HealthCheckMarkdown.HealthCheckMarkdownRenderer


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

.. py:class:: HealthCheckMarkdownRenderer(analysis: pdstools.adm.Analysis.Analysis)

   Render health-check findings as GitHub-flavored Markdown.


   .. py:attribute:: analysis


   .. py:method:: render(*, title: str = 'ADM Health Check', subtitle: str = '', disclaimer: str = '', active_filter: polars.Expr | None = None, active_threshold_days: int = 30, prediction=None, preaggregates: pdstools.adm.Analysis.HealthCheckPreAggregates | None = None) -> str

      Render the health-check findings as a markdown document.



   .. py:method:: key_metrics_table(last_data: polars.DataFrame, findings: list[pdstools.adm.Analysis.Finding], active_filter: polars.Expr | None, *, preaggregates: pdstools.adm.Analysis.HealthCheckPreAggregates | None = None) -> polars.DataFrame

      Build a compact key-metrics table for markdown output.



   .. py:method:: estate_snapshot_sections(active_filter: polars.Expr | None, *, preaggregates: pdstools.adm.Analysis.HealthCheckPreAggregates | None = None) -> list[tuple[str, polars.DataFrame]]

      Build compact orientation tables for the markdown report.



   .. py:method:: findings_by_severity_table(findings: list[pdstools.adm.Analysis.Finding]) -> polars.DataFrame
      :staticmethod:


      Summarize findings by severity.



   .. py:method:: findings_by_category_table(findings: list[pdstools.adm.Analysis.Finding]) -> polars.DataFrame
      :staticmethod:


      Summarize findings by category.