:class:`ResourceMonitor`
========================


.. py:class:: pyedb.workflows.job_manager.backend.service.ResourceMonitor(update_interval: int = 5)

   
   **Async** background task that samples host telemetry every *N* seconds.

   The monitor keeps a **thread-safe** in-memory cache used by
   :meth:`JobPoolManager.can_start_job` to throttle submissions.

   :Parameters:

       **update_interval** : :class:`python:int`, :obj:`optional`
           Sampling period in seconds. Default is ``5``.












   :Attributes:

       **current_usage** : :class:`python:dict`
           Cached resource usage information with keys:
           - cpu_percent: Current CPU usage percentage
           - memory_percent: Current memory usage percentage
           - memory_used_gb: Memory used in GB
           - memory_total_gb: Total memory in GB
           - memory_free_gb: Free memory in GB
           - disk_usage_percent: Disk usage percentage
           - disk_free_gb: Free disk space in GB
           - timestamp: Last update timestamp


   ..
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.. py:currentmodule:: ResourceMonitor

Overview
--------

.. tab-set::



   .. tab-item:: Methods

      .. list-table::
          :header-rows: 0
          :widths: auto

          * - :py:attr:`~monitor_resources`
            - **Infinite** coroutine that updates :attr:`current_usage`.



   .. tab-item:: Attributes

      .. list-table::
          :header-rows: 0
          :widths: auto

          * - :py:attr:`~update_interval`
            - 
          * - :py:attr:`~current_usage`
            - 






Import detail
-------------

.. code-block:: python

    from pyedb.workflows.job_manager.backend.service import ResourceMonitor


Attribute detail
----------------

.. py:attribute:: update_interval
   :value: 5


.. py:attribute:: current_usage



Method detail
-------------

.. py:method:: monitor_resources()
   :async:


   
   **Infinite** coroutine that updates :attr:`current_usage`.

   Runs until the event-loop is shut down. Samples CPU, memory, and disk
   usage at regular intervals.















   ..
       !! processed by numpydoc !!