updated doc for CsstMsDataManager

    from csst_common.data_manager import CsstMsDataManager

    # for full basic initialization

    dm_mbi = CsstMsDataManager.from_dir(

    dm = CsstMsDataManager.from_dir(

        ver_sim="C5.2",                  # version of simulation, "C5.2" is the latest

        dir_l0="",                       # the L0/input directory

        dir_l1="",                       # the L1/output directory

        dir_pcref="",                    # position calibration reference (will be deprecated)

        datatype="mbi",                  # data type, "mbi", "sls" or "all"

        dir_l0=".",                      # the L0/input directory

        dir_l1=".",                      # the L1/output directory

        path_aux="",                     # aux file paths (master bias, dark, flat)

        datatype="mbi",                  # "mbi", "sls" or "all"

        dfs_mode=False,                  # if True, use DFS in pipeline modules

        dfs_node='kmust',                # DFS server, chosen from {"kmust", "pml"}

    )

    dm_mbi.set_detectors(detectors=None) # use all available detectors

    dm.target_detectors = None           # use all available detectors

In particular, if you are on ``dandelion`` or ``PM node``, you can use a ``quickstart`` method.

In particular, if you are on ``dandelion`` or ``PML node``, you can use a ``quickstart`` method.

.. code-block:: python

    # for a quick start ()

    dm_mbi = CsstMsDataManager.quickstart(

        ver_sim="C5.2",

        datatype="mbi",

        dir_l1=".",

        exposure_id=100                  # the 100th exposure

    dm = CsstMsDataManager.quickstart(

        ver_sim='C5.2',                  # version of simulation, only "C5.2" is supported

        datatype='mbi',                  # data type, "mbi", "sls" or "all"

        dir_l1='.',                      # the L1/output directory

        exposure_id=100,                 # the exposure ID

        dfs_mode=False,                  # if True, use DFS in pipeline modules

        dfs_node='kmust',                # DFS server, chosen from {"kmust", "pml"}

    )

    dm_mbi.set_detectors(detectors=None) # use all available detectors

    dm

You will get the outputs:

.. code-block::

    <CsstMsDataManager>

    Data type = mbi

    Valid detectors = [6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25]

    Available detectors = [6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25]

    Target detectors = [6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25]

    dir_l0 = /nfsdata/share/csst_simulation_data/Cycle-5-SimuData/multipleBandsImaging/NGP_AstrometryON_shearOFF/MSC_0000100/

    dir_l1 = .

    dfs_mode = False

    dfs_node = kmust

.. note::

    This ``quickstart`` method is ONLY available on

    ``dandelion`` or the ``Purple Mountain Lab node``.

    ``dandelion`` or the ``PML node``.

    In your local development environment, you have to use

    ``CsstMsDataManager.from_dir(...)`` to initialize it.