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Upload and Use Multiple Resources
=================================

Resource center help us manager resources in a centralized way, easy to change and distribute them to all the workers.
for more detail you can see :ref:`resources files <concept:resource files>`.

In this section we will show you how to upload and use multiple resources which is more common in production environment
and in the real word.

Overview
--------

.. literalinclude:: ../../../src/pydolphinscheduler/examples/multi_resources_example.py
   :dedent: 0
   :start-after: [start workflow]
   :end-before: [end workflow]

In this example, we will upload two python files to resource center and use them in one single task, the python
files are named ``dependence.py`` and ``main.py``. And ``main.py`` use ``dependence.py`` as a dependency which
will use a variable ``now`` declared in ``dependence.py``. So in task shell could call :code:`python main.py`
to get all things done.

Upload Resources
----------------

The module ``Resource`` need to be import firstly.

.. code-block:: python

    from pydolphinscheduler.core.resource import Resource

Then we need to create two resources object and assign them to ``resource_list`` of the workflow. All content of
resources should assign to ``content`` attribute of the resource object. Please know that we import variable
:code:`now` from ``dependence.py`` in ``main.py``.

.. literalinclude:: ../../../src/pydolphinscheduler/examples/multi_resources_example.py
   :dedent: 0
   :start-after: [start create_new_resources]
   :end-before: [end create_new_resources]

Use Resources
-------------

Same as :ref:`using single resource <concept:resource files>`, all we need is to assign them to ``resource_list``
attribute of the task and then call the main file to run our task. In this example, we call :code:`python main.py`
which will use ``dependence.py`` as a dependency.

.. literalinclude:: ../../../src/pydolphinscheduler/examples/multi_resources_example.py
   :dedent: 0
   :start-after: [start use_exists_resources]
   :end-before: [end use_exists_resources]

After run the workflow, will execute main.py and print the current datetime. You can see the result like this:

.. code-block:: text

    2022-11-29 16:16:51.952742