agpredict.py 文件源码

def download(self):

        """
        Download images for specified tiles and time period.

        :param filelist: lists all of the HDF files downloaded

        :param observations:  lists the total number of days worth of data downloaded
            (e.g. 1 year of data = 23 observations).
            (e.g. 1 year of data = 23 observations).
        """

        if not os.path.exists(self.directory):
            os.mkdir(self.directory)
        if not os.path.exists(self.fullPath):
            os.mkdir(self.fullPath)

        dm = pymodis.downmodis.downModis(self.fullPath, self.password, self.username, self.url, self.tiles, self.path, self.dataset, 
                                         self.today, self.enddate, jpg = False, debug = True, timeout = 30)
        dm.connect()
        self.filelist = dm.getListDays() 
        self.observations = len(dm.getListDays())  

        if self.dataset != 'MOD13Q1.005':
             if self.observations % 2 != 0:
                 raise IOError("The total number of observations through time must be an even number. Please add or remove an observation before or after %s" % str(self.filelist[0]))

        dm.downloadsAllDay()
        logger.log('SUCCESS', 'Downloading is complete!  %d HDF files of %s data for tiles %s were downloaded for the following days:  %s' % (self.observations*len(self.tiles), str(self.dataset), str(self.tiles), str(self.filelist)))