data_manager.py

"""
Identifier:     KSC-SJ4-csst_common/data_manager.py
Name:           data_manager.py
Description:    file path generator
Author:         Bo Zhang
Created:        2022-09-13
Modified-History:
    2022-09-13, Bo Zhang, created
    2022-09-29, Bo Zhang, favor CsstMsDataManager instead of CsstMbiDataManager
"""
import os
import glob
import re

from astropy.io import fits

from .params import CSST_PARAMS as CP


class CsstMsDataManager:
    """ CSST MS data manager, including MBI and SLS

    C3:
        MSC_MS_210525220000_100000020_06_raw.fits
        MSC_CRS_210525220000_100000020_06_raw.fits
        MSC_210525120000_0000020_06.cat

    C5.1:
        CSST_MSC_MS_SCI_20270810081950_20270810082220_100000100_06_L0_1.fits
        CSST_MSC_MS_CRS_20270810081950_20270810082220_100000100_06_L0_1.fits
        MSC_10000100_chip_06_filt_y.cat
        MSC_10000100_chip_06_filt_y.log

    C5.2
        CSST_MSC_MS_SCI_20270810081950_20270810082220_100000100_06_L0_1.fits
        CSST_MSC_MS_CRS_20270810081950_20270810082220_100000100_06_L0_1.fits
        MSC_100000100_chip_06_filt_y.cat
        MSC_100000100_chip_06_filt_y.log

    """

    def __init__(self, ver_sim="C5.2", dir_l0="", dir_l1="", dir_pcref="", path_aux="", force_all_detectors=False,
                 datatype="mbi"):
        """ initialize the multi-band imaging data manager

        Parameters
        ----------
        ver_sim: str
            version of simulation data, see csst_common.params.CP
        dir_l0: str
            L0 directory
        dir_l1: str
            L1 directory
        dir_pcref: str
            position calibration data directory
        path_aux: str
            aux data directory (bias, flat, dark)
        force_all_detectors: bool
            if True, assert data for all detectors are available
        datatype: str
            {"mbi", "sls"}

        Examples
        --------
        >>> dm_mbi = CsstMbiDataManager(...)
        >>> # access L0 directory
        >>> dm_mbi.dir_l0
        >>> # access L1 directory
        >>> dm_mbi.dir_l1
        >>> # access dir_pcref
        >>> dm_mbi.dir_pcref
        >>> # access path_aux
        >>> dm_mbi.path_aux
        >>> # access ver_sim
        >>> dm_mbi.ver_sim
        >>> # access target detectors
        >>> dm_mbi.target_detectors
        >>> # access available detectors
        >>> dm_mbi.available_detectors
        >>> # define an L1 file (detector-specified)
        >>> dm_mbi.l1_detector(detector=6)
        >>> # define an L1 file (non-detector-specified)
        >>> dm_mbi.l1_file("flipped_image.fits")
        """
        assert ver_sim in CP["sim"]["versions"]

        assert datatype in ["mbi", "sls"]
        if datatype == "mbi":
            # MBI
            self.valid_detectors = CP["mbi"]["detectors"]
            self.detector2filter = CP["mbi"]["detector2filter"]
        else:
            # SLS
            self.valid_detectors = CP["sls"]["detectors"]
            self.detector2filter = CP["sls"]["detector2filter"]

        self.dir_l0 = dir_l0
        self.dir_l1 = dir_l1
        self.dir_pcref = dir_pcref
        self.path_aux = path_aux
        self.ver_sim = ver_sim
        self.target_detectors = []

        self.hardcode_history = []

        fps_img = self.glob_image(dir_l0, ver_sim=ver_sim)
        fps_cat = self.glob_cat(dir_l0, ver_sim=ver_sim)

        if force_all_detectors:
            assert len(fps_img) == len(self.valid_detectors)
        else:
            assert len(fps_img) > 0

        if ver_sim == "C3":
            # get info
            # print(re.split(r"[_.]", fps[0]))
            self._instrument, self._survey, \
                self._exp_start, self._exp_id, \
                _detector, self._l0_suffix, _ext = re.split(r"[_.]", fps_img[0])
            self._cat_id = re.split(r"[_.]", fps_cat[0])[1]

            self._exp_start = int(self._exp_start)
            self._exp_id = int(self._exp_id)

            # available detectors
            self.available_detectors = [int(re.split(r"[_.]", fp)[4]) for fp in fps_img]
            self.available_detectors.sort()

        elif ver_sim in ["C5.1", "C5.2"]:
            # get info
            # print(re.split(r"[_.]", fps[0]))
            self._telescope, self._instrument, self._survey, self._imagetype, \
                self._exp_start, self._exp_stop, self._exp_id, \
                _detector, self._l0_suffix, self._version, _ext = re.split(r"[_.]", fps_img[0])
            self._cat_id = re.split(r"[_.]", fps_cat[0])[1]

            self._exp_start = int(self._exp_start)
            self._exp_stop = int(self._exp_stop)
            self._exp_id = int(self._exp_id)

            # available detectors
            self.available_detectors = [int(re.split(r"[_.]", fp)[7]) for fp in fps_img]
            self.available_detectors.sort()

    @staticmethod
    def glob_image(dir_l0, ver_sim="C5"):
        """ glob files in L0 data directory """
        if ver_sim == "C3":
            pattern = os.path.join(dir_l0, "MSC_MS_*_raw.fits")
        else:
            assert ver_sim in ["C5.1", "C5.2"]
            pattern = os.path.join(dir_l0, "CSST_MSC_MS_SCI_*.fits")
        fps = glob.glob(pattern)
        fps = [os.path.basename(fp) for fp in fps]
        fps.sort()

        print("@DM.glob_dir: {} files found with pattern: {}".format(len(fps), pattern))
        return fps

    @staticmethod
    def glob_cat(dir_l0, ver_sim="C5"):
        """ glob input catalogs in L0 data directory """
        if ver_sim == "C3":
            pattern = os.path.join(dir_l0, "MSC_*.cat")
        else:
            assert ver_sim in ["C5.1", "C5.2"]
            pattern = os.path.join(dir_l0, "MSC_*.cat")
        fps = glob.glob(pattern)
        fps = [os.path.basename(fp) for fp in fps]
        fps.sort()

        print("@DM.glob_dir: {} files found with pattern: {}".format(len(fps), pattern))
        return fps

    def l0_cat(self, detector=6):
        """ the L0 cat file path"""
        if self.ver_sim == "C3":
            fn = "{}_{}_{:07d}_{:02d}.cat".format(
                self._instrument, self._cat_id, self._exp_id - 100000000, detector)
        elif self.ver_sim == "C5.1":
            fn = "{}_{}_chip_{:02d}_filt_{}.cat".format(
                self._instrument, self._exp_id - 90000000, detector, self.detector2filter[detector])
        elif self.ver_sim == "C5.2":
            fn = "{}_{}_chip_{:02d}_filt_{}.cat".format(
                self._instrument, self._exp_id, detector, self.detector2filter[detector])
        return os.path.join(self.dir_l0, fn)

    def l0_log(self, detector=6):
        """ L0 log file path """
        if self.ver_sim == "C5.1":
            fn = "{}_{}_chip_{:02d}_filt_{}.log".format(
                self._instrument, self._exp_id - 90000000, detector, self.detector2filter[detector])
        elif self.ver_sim == "C5.2":
            fn = "{}_{}_chip_{:02d}_filt_{}.log".format(
                self._instrument, self._exp_id, detector, self.detector2filter[detector])
        return os.path.join(self.dir_l0, fn)

    def l0_detector(self, detector=6):
        """ L0 detector-specific image file path """
        if self.ver_sim == "C3":
            fn = "{}_{}_{}_{}_{:02d}_raw.fits".format(
                self._instrument, self._survey, self._exp_start, self._exp_id, detector)
        else:
            assert self.ver_sim in ["C5.1", "C5.2"]
            fn = "{}_{}_{}_SCI_{}_{}_{}_{:02d}_L0_1.fits".format(
                self._telescope, self._instrument, self._survey,
                self._exp_start, self._exp_stop, self._exp_id, detector)
        return os.path.join(self.dir_l0, fn)

    def l0_crs(self, detector=6):
        """ L0 cosmic ray file path """
        if self.ver_sim == "C3":
            fn = "{}_CRS_{}_{}_{:02d}_raw.fits".format(
                self._instrument, self._exp_start, self._exp_id, detector)
        else:
            assert self.ver_sim in ["C5.1", "C5.2"]
            fn = "{}_{}_{}_CRS_{}_{}_{}_{:02d}_L0_1.fits".format(
                self._telescope, self._instrument, self._survey,
                self._exp_start, self._exp_stop, self._exp_id, detector)
        return os.path.join(self.dir_l0, fn)

    def l1_detector(self, detector=6, post="img.fits"):
        """ generate L1 file path

        Parameters
        ----------
        detector:
            detector ID
        post:
            postfix
            e.g, {"img.fits", "wht.fits", "flg.fits", "img_L1.fits", "wht_L1.fits", "flg_L1.fits"}

        Returns
        -------
        L1 file path

        """
        if self.ver_sim == "C3":
            fn = "{}_{}_{}_{}_{:02d}_{}".format(
                self._instrument, self._survey,
                self._exp_start, self._exp_id, detector, post)
        else:
            assert self.ver_sim in ["C5.1", "C5.2"]
            fn = "{}_{}_{}_SCI_{}_{}_{}_{:02d}_{}".format(
                self._telescope, self._instrument, self._survey,
                self._exp_start, self._exp_stop, self._exp_id, detector, post)
        return os.path.join(self.dir_l1, fn)

    def set_detectors(self, detectors=None):
        """ set target detector """
        if detectors is None:
            # default detectors
            self.target_detectors = self.available_detectors
        else:
            try:
                # assert detectors is a subset of available detectors
                assert set(detectors).issubset(set(self.available_detectors))
                self.target_detectors = list(detectors)
            except AssertionError as ae:
                print("@DM: available detector are ", self.available_detectors)
                print("@DM: target detector are ", detectors)

                print("@DM: final target detectors are ", set(detectors) & set(self.available_detectors))
                # raise ae
                self.target_detectors = set(detectors) & set(self.available_detectors)
        print("final target detector IDs are ", self.target_detectors)
        return

    def get_bias(self, detector=6):
        fp = glob.glob(self.path_aux.format("CLB", detector))[0]
        return fits.getdata(fp)

    def get_dark(self, detector=6):
        fp = glob.glob(self.path_aux.format("CLD", detector))[0]
        return fits.getdata(fp)

    def get_flat(self, detector=6):
        fp = glob.glob(self.path_aux.format("CLF", detector))[0]
        return fits.getdata(fp)

    def l1_file(self, name="", comment=""):
        """ L1 file path

        Parameters
        ----------
        name: str
            file name
        comment: str
            use the function name plz

        Returns
        -------
        fp: str
            the synthetic file path

        """
        fp = os.path.join(self.dir_l1, name)
        # record hardcode history
        self.hardcode_history.append(dict(hdcd=fp, comment=comment))
        return fp

    @staticmethod
    def quickstart(ver_sim="C5.2", datatype="mbi", dir_l1=".", exposure_id=100):
        """ quick dataset generator for tests on dandelion or PMO

        Parameters
        ----------
        ver_sim:
            {"C5.2"}
        datatype: str
            {"mbi", "sls"}
        dir_l1:
            output directory
        exposure_id:
            21-154 for C5.2

        Returns
        -------
        CsstMbiDataManager
            the MBI data manager instance
        """
        assert datatype in ["mbi", "sls"]
        # auto identify node name
        hostname = os.uname()[1]
        assert hostname in ["dandelion", "ubuntu"]

        # dandelion
        if hostname == "dandelion" and datatype == "mbi":
            dir_l0 = "/nfsdata/share/csst_simulation_data/Cycle-5-SimuData/multipleBandsImaging/" \
                     "NGP_AstrometryON_shearOFF/MSC_{:07d}/".format(exposure_id)
            path_aux = "/nfsdata/users/cham/L1Test/ref_C5.2/MSC_{}_*_{:02d}_combine.fits"
            dir_pcref = "/nfsdata/users/csstpipeline/L1Pipeline/msc/gaia_dr3/"
        elif hostname == "dandelion" and datatype == "sls":
            dir_l0 = "/nfsdata/share/csst_simulation_data/Cycle-5-SimuData/multipleBandsImaging/" \
                     "NGP_AstrometryON_shearOFF_Spec/MSC_{:07d}/".format(exposure_id)
            path_aux = ""
            dir_pcref = ""

        # PMO
        elif hostname == "ubuntu" and datatype == "mbi":
            dir_l0 = "/share/simudata/CSSOSDataProductsSims/data/CSSTSimImage_C5/" \
                     "NGP_AstrometryON_shearOFF/MSC_{:07d}/".format(exposure_id)
            path_aux = "/data/sim_data/MSC_0000100/ref/MSC_{}_*_{:02d}_combine.fits"
            dir_pcref = "/home/user/L1Pipeline/msc/gaia_dr3/"
        elif hostname == "ubuntu" and datatype == "sls":
            dir_l0 = "/share/simudata/CSSOSDataProductsSims/data/CSSTSimImage_C5/" \
                     "NGP_AstrometryON_shearOFF_Spec/MSC_{:07d}/".format(exposure_id)
            path_aux = ""
            dir_pcref = ""

        else:
            raise ValueError("@DM: invalid hostname {}!".format(hostname))

        return CsstMsDataManager(ver_sim=ver_sim, dir_l0=dir_l0, dir_l1=dir_l1, dir_pcref=dir_pcref, path_aux=path_aux)


class CsstMbiDataManager:
    """ this class defines the file format of the input & output of CSST MSC L1 pipeline

    C3:
        MSC_MS_210525220000_100000020_06_raw.fits
        MSC_CRS_210525220000_100000020_06_raw.fits
        MSC_210525120000_0000020_06.cat

    C5.1:
        CSST_MSC_MS_SCI_20270810081950_20270810082220_100000100_06_L0_1.fits
        CSST_MSC_MS_CRS_20270810081950_20270810082220_100000100_06_L0_1.fits
        MSC_10000100_chip_06_filt_y.cat
        MSC_10000100_chip_06_filt_y.log

    C5.2
        CSST_MSC_MS_SCI_20270810081950_20270810082220_100000100_06_L0_1.fits
        CSST_MSC_MS_CRS_20270810081950_20270810082220_100000100_06_L0_1.fits
        MSC_100000100_chip_06_filt_y.cat
        MSC_100000100_chip_06_filt_y.log

    """

    def __init__(self, ver_sim="C5.2", dir_l0="", dir_l1="", dir_pcref="", path_aux="", force_all_detectors=False):
        """ initialize the multi-band imaging data manager

        Parameters
        ----------
        ver_sim: str
            version of simulation data, see csst_common.params.CP
        dir_l0: str
            L0 directory
        dir_l1: str
            L1 directory
        dir_pcref: str
            position calibration data directory
        path_aux: str
            aux data directory (bias, flat, dark)
        force_all_detectors: bool
            if True, assert data for all detectors are available

        Examples
        --------
        >>> dm_mbi = CsstMbiDataManager(...)
        >>> # access L0 directory
        >>> dm_mbi.dir_l0
        >>> # access L1 directory
        >>> dm_mbi.dir_l1
        >>> # access dir_pcref
        >>> dm_mbi.dir_pcref
        >>> # access path_aux
        >>> dm_mbi.path_aux
        >>> # access ver_sim
        >>> dm_mbi.ver_sim
        >>> # access target detectors
        >>> dm_mbi.target_detectors
        >>> # access available detectors
        >>> dm_mbi.available_detectors
        >>> # define an L1 file (detector-specified)
        >>> dm_mbi.l1_detector(detector=6)
        >>> # define an L1 file (non-detector-specified)
        >>> dm_mbi.l1_file("flipped_image.fits")
        """
        # raise DeprecationWarning(
        #     "CsstMbiDataManager will no longer be available in some days, please use CsstMsDataManager instead.")
        assert ver_sim in CP["sim"]["versions"]

        self.dir_l0 = dir_l0
        self.dir_l1 = dir_l1
        self.dir_pcref = dir_pcref
        self.path_aux = path_aux
        self.ver_sim = ver_sim
        self.target_detectors = []

        self.hardcode_history = []

        fps_img = self.glob_image(dir_l0, ver_sim=ver_sim)
        fps_cat = self.glob_cat(dir_l0, ver_sim=ver_sim)

        if force_all_detectors:
            assert len(fps_img) == len(CP["mbi"]["detectors"])
        else:
            assert len(fps_img) > 0

        if ver_sim == "C3":
            # get info
            # print(re.split(r"[_.]", fps[0]))
            self._instrument, self._survey, \
                self._exp_start, self._exp_id, \
                _detector, self._l0_suffix, _ext = re.split(r"[_.]", fps_img[0])
            self._cat_id = re.split(r"[_.]", fps_cat[0])[1]

            self._exp_start = int(self._exp_start)
            self._exp_id = int(self._exp_id)

            # available detectors
            self.available_detectors = [int(re.split(r"[_.]", fp)[4]) for fp in fps_img]
            self.available_detectors.sort()

        elif ver_sim in ["C5.1", "C5.2"]:
            # get info
            # print(re.split(r"[_.]", fps[0]))
            self._telescope, self._instrument, self._survey, self._imagetype, \
                self._exp_start, self._exp_stop, self._exp_id, \
                _detector, self._l0_suffix, self._version, _ext = re.split(r"[_.]", fps_img[0])
            self._cat_id = re.split(r"[_.]", fps_cat[0])[1]

            self._exp_start = int(self._exp_start)
            self._exp_stop = int(self._exp_stop)
            self._exp_id = int(self._exp_id)

            # available detectors
            self.available_detectors = [int(re.split(r"[_.]", fp)[7]) for fp in fps_img]
            self.available_detectors.sort()

    @staticmethod
    def glob_image(dir_l0, ver_sim="C5"):
        """ glob files in L0 data directory """
        if ver_sim == "C3":
            pattern = os.path.join(dir_l0, "MSC_MS_*_raw.fits")
        else:
            assert ver_sim in ["C5.1", "C5.2"]
            pattern = os.path.join(dir_l0, "CSST_MSC_MS_SCI_*.fits")
        fps = glob.glob(pattern)
        fps = [os.path.basename(fp) for fp in fps]
        fps.sort()

        print("@DM.glob_dir: {} files found with pattern: {}".format(len(fps), pattern))
        return fps

    @staticmethod
    def glob_cat(dir_l0, ver_sim="C5"):
        """ glob input catalogs in L0 data directory """
        if ver_sim == "C3":
            pattern = os.path.join(dir_l0, "MSC_*.cat")
        else:
            assert ver_sim in ["C5.1", "C5.2"]
            pattern = os.path.join(dir_l0, "MSC_*.cat")
        fps = glob.glob(pattern)
        fps = [os.path.basename(fp) for fp in fps]
        fps.sort()

        print("@DM.glob_dir: {} files found with pattern: {}".format(len(fps), pattern))
        return fps

    def l0_cat(self, detector=6):
        """ the L0 cat file path"""
        if self.ver_sim == "C3":
            fn = "{}_{}_{:07d}_{:02d}.cat".format(
                self._instrument, self._cat_id, self._exp_id - 100000000, detector)
        elif self.ver_sim == "C5.1":
            fn = "{}_{}_chip_{:02d}_filt_{}.cat".format(
                self._instrument, self._exp_id - 90000000, detector, CP["mbi"]["detector2filter"][detector])
        elif self.ver_sim == "C5.2":
            fn = "{}_{}_chip_{:02d}_filt_{}.cat".format(
                self._instrument, self._exp_id, detector, CP["mbi"]["detector2filter"][detector])
        return os.path.join(self.dir_l0, fn)

    def l0_log(self, detector=6):
        """ L0 log file path """
        if self.ver_sim == "C5.1":
            fn = "{}_{}_chip_{:02d}_filt_{}.log".format(
                self._instrument, self._exp_id - 90000000, detector, CP["mbi"]["detector2filter"][detector])
        elif self.ver_sim == "C5.2":
            fn = "{}_{}_chip_{:02d}_filt_{}.log".format(
                self._instrument, self._exp_id, detector, CP["mbi"]["detector2filter"][detector])
        return os.path.join(self.dir_l0, fn)

    def l0_detector(self, detector=6):
        """ L0 detector-specific image file path """
        if self.ver_sim == "C3":
            fn = "{}_{}_{}_{}_{:02d}_raw.fits".format(
                self._instrument, self._survey, self._exp_start, self._exp_id, detector)
        else:
            assert self.ver_sim in ["C5.1", "C5.2"]
            fn = "{}_{}_{}_SCI_{}_{}_{}_{:02d}_L0_1.fits".format(
                self._telescope, self._instrument, self._survey,
                self._exp_start, self._exp_stop, self._exp_id, detector)
        return os.path.join(self.dir_l0, fn)

    def l0_crs(self, detector=6):
        """ L0 cosmic ray file path """
        if self.ver_sim == "C3":
            fn = "{}_CRS_{}_{}_{:02d}_raw.fits".format(
                self._instrument, self._exp_start, self._exp_id, detector)
        else:
            assert self.ver_sim in ["C5.1", "C5.2"]
            fn = "{}_{}_{}_CRS_{}_{}_{}_{:02d}_L0_1.fits".format(
                self._telescope, self._instrument, self._survey,
                self._exp_start, self._exp_stop, self._exp_id, detector)
        return os.path.join(self.dir_l0, fn)

    def l1_detector(self, detector=6, post="img.fits"):
        """ generate L1 file path

        Parameters
        ----------
        detector:
            detector ID
        post:
            postfix
            {"img.fits", "wht.fits", "flg.fits", "img_L1.fits", "wht_L1.fits", "flg_L1.fits"}

        Returns
        -------
        L1 file path

        """
        if self.ver_sim == "C3":
            fn = "{}_{}_{}_{}_{:02d}_{}".format(
                self._instrument, self._survey,
                self._exp_start, self._exp_id, detector, post)
        else:
            assert self.ver_sim in ["C5.1", "C5.2"]
            fn = "{}_{}_{}_SCI_{}_{}_{}_{:02d}_{}".format(
                self._telescope, self._instrument, self._survey,
                self._exp_start, self._exp_stop, self._exp_id, detector, post)
        return os.path.join(self.dir_l1, fn)

    def set_detectors(self, detectors=None):
        """ set target detector """
        if detectors is None:
            # default detectors
            self.target_detectors = self.available_detectors
        else:
            try:
                # assert detectors is a subset of available detectors
                assert set(detectors).issubset(set(self.available_detectors))
                self.target_detectors = list(detectors)
            except AssertionError as ae:
                print("@DM: available detector are ", self.available_detectors)
                print("@DM: target detector are ", detectors)

                print("@DM: final target detectors are ", set(detectors) & set(self.available_detectors))
                # raise ae
                self.target_detectors = set(detectors) & set(self.available_detectors)
        print("final target detector IDs are ", self.target_detectors)
        return

    def get_bias(self, detector=6):
        fp = glob.glob(self.path_aux.format("CLB", detector))[0]
        return fits.getdata(fp)

    def get_dark(self, detector=6):
        fp = glob.glob(self.path_aux.format("CLD", detector))[0]
        return fits.getdata(fp)

    def get_flat(self, detector=6):
        fp = glob.glob(self.path_aux.format("CLF", detector))[0]
        return fits.getdata(fp)

    def l1_file(self, name="", comment=""):
        """

        Parameters
        ----------
        name: str
            file name
        comment: str
            use the function name plz

        Returns
        -------
        fp: str
            the synthetic file path

        """
        fp = os.path.join(self.dir_l1, name)
        # record hardcode history
        self.hardcode_history.append(dict(hdcd=fp, comment=comment))
        return fp


    @staticmethod
    def quickstart(ver_sim="C5.2", dir_l1=".", exposure_id=100):
        """ quick dataset generator for tests on dandelion or PMO

        Parameters
        ----------
        ver_sim:
            {"C5.2"}
        dir_l1:
            output directory
        exposure_id:
            21-154 for C5.2

        Returns
        -------
        CsstMbiDataManager
            the MBI data manager instance
        """
        # auto identify node name
        hostname = os.uname()[1]

        if hostname == "dandelion":
            # dandelion node
            dir_l0 = "/nfsdata/share/csst_simulation_data/Cycle-5-SimuData/multipleBandsImaging/" \
                     "NGP_AstrometryON_shearOFF/MSC_{:07d}/".format(exposure_id)
            path_aux = "/nfsdata/users/cham/L1Test/ref_C5.2/MSC_{}_*_{:02d}_combine.fits"
            dir_pcref = "/nfsdata/users/csstpipeline/L1Pipeline/msc/gaia_dr3/"
        elif hostname == "ubuntu":
            # PMO node
            dir_l0 = "/share/simudata/CSSOSDataProductsSims/data/CSSTSimImage_C5/" \
                     "NGP_AstrometryON_shearOFF/MSC_{:07d}/".format(exposure_id)
            path_aux = "/data/sim_data/MSC_0000100/ref/MSC_{}_*_{:02d}_combine.fits"
            dir_pcref = "/home/user/L1Pipeline/msc/gaia_dr3/"
        else:
            raise ValueError("@DM: invalid hostname {}!".format(hostname))

        return CsstMbiDataManager(ver_sim=ver_sim, dir_l0=dir_l0, dir_l1=dir_l1, dir_pcref=dir_pcref, path_aux=path_aux)


# DIR_SIM = {
#     ("C5.2", "dandelion"): "/nfsdata/share/csst_simulation_data/Cycle-5-SimuData/multipleBandsImaging/"
#                            "NGP_AstrometryON_shearOFF/MSC_{:07d}/",
#     ("C5.2", "ubuntu"): "/nfsdata/share/csst_simulation_data/Cycle-5-SimuData/multipleBandsImaging/"
#                         "NGP_AstrometryON_shearOFF/MSC_{:07d}/",
# }

if __name__ == "__main__":
    # test C3
    dm = CsstMbiDataManager(
        ver_sim="C3", dir_l0="/data/L1Pipeline/msc/MSC_0000020", dir_l1="/data/L1Pipeline/msc/work")
    print("----- L0 images -----")
    print(dm.l0_detector(detector=6))
    print(os.path.exists(dm.l0_detector(detector=6)))
    print("----- L0 crs -----")
    print(dm.l0_crs(detector=6))
    print(os.path.exists(dm.l0_detector(detector=8)))
    print("----- L0 input cat -----")
    print(dm.l0_cat(8))
    print(os.path.exists(dm.l0_cat(detector=8)))
    print("----- available detectors -----")
    print(dm.available_detectors)
    print("----- L1 images -----")
    print(dm.l1_detector(25, "img.fits"))

    # test C5.1
    dm = CsstMbiDataManager(
        ver_sim="C5.1", dir_l0="/data/sim_data/MSC_0000100", dir_l1="/home/user/L1Pipeline/msc/work")
    print("----- available detectors -----")
    print(dm.available_detectors)
    for detector in dm.available_detectors[:2]:
        print("----- L0 images -----")
        print(dm.l0_detector(detector=detector))
        print(os.path.exists(dm.l0_detector(detector=detector)))
        print("----- L0 crs -----")
        print(dm.l0_crs(detector=detector))
        print(os.path.exists(dm.l0_detector(detector=detector)))
        print("----- L0 input cat -----")
        print(dm.l0_cat(detector=detector))
        print(os.path.exists(dm.l0_cat(detector=detector)))
        print("----- L0 input log -----")
        print(dm.l0_log(detector=detector))
        print(os.path.exists(dm.l0_log(detector=detector)))
        print("----- L1 images -----")
        print(dm.l1_detector(detector, post="img.fits"))