pipeline for time series analysis on TESS light curves

tess.py

import os
from astropy.timeseries import TimeSeries
from astropy.io import fits

class Lightcurve:
    def __init__(self,path,telescope,instrument,date_obs_start,date_obs_end,creator,object,tessid,sector,camera,ccd,radesys,ra_obj,dec_obj,equinox,
                 pxtable,tessmag,radius,ticver,crmitten,crblksz,crspoc,checksum,time,timecorr,cadenceno,sap_flux,sap_flux_err,sap_bkg,sap_bkg_err,
                 pdcsap_flux,pdcsap_flux_err):
        self.path = path
        self.telescope = telescope
        self.instrument = instrument
        self.date_obs_start = date_obs_start
        self.date_obs_end = date_obs_end
        self.creator = creator
        self.object = object
        self.tessid = tessid
        self.sector = sector
        self.camera = camera
        self.cdd = ccd
        self.radesys = radesys
        self.ra_obj = ra_obj
        self.de_obj = dec_obj
        self.equinox = equinox
        self.pxtable = pxtable
        self.tessmag = tessmag
        self.radius = radius
        self.ticver = ticver
        self.crmitten = crmitten
        self.crblksz = crblksz
        self.crspoc = crspoc
        self.checksum = checksum
        self.time = time
        self.timecorr = timecorr
        self.cadenceno = cadenceno
        self.sap_flux = sap_flux
        self.sap_flux_err = sap_flux_err
        self.sap_bkg = sap_bkg
        self.sap_bkg_err = sap_bkg_err
        self.pdcsap_flux = pdcsap_flux
        self.pdcsap_flux_err = pdcsap_flux_err

directory = "/"
lightcurves=[]

with os.scandir(directory) as files:
    if files.endswith(".fits"):
        for file in files:
            hdulist = fits.open(file.name)
            ts = TimeSeries.read(file.name, format='tess.fits')
            hdu = hdulist[0]
            element = Lightcurve(directory+file.name, hdu.header['telescop'], hdu.header['instrume'], hdu.header['date-obs'],
                                 hdu.header['date-end'],
                                 hdu.header['creator'], hdu.header['object'], hdu.header['ticid'], hdu.header['sector'],
                                 hdu.header['camera'], hdu.header['ccd'], hdu.header['radesys'], hdu.header['ra_obj'],
                                 hdu.header['de_obj'], hdu.header['equinox'], hdu.header['pxtable'],
                                 hdu.header['tessmag'],
                                 hdu.header['radius'], hdu.header['ticver'], hdu.header['crmitten'],
                                 hdu.header['crspoc'],
                                 hdu.header['checksum'], ts['sap_flux'], ts['sap_flux_err'], ts['sap_bkg'],
                                 ts['sap_bkg_err'],
                                 ts['pdcsap_flux'], ts['pdcsap_flux_err'])
            lightcurves.append(element)