import Cache.sqlite as sqlite
import os, datetime
parser = argparse.ArgumentParser(description='Create the sqlite DB')
parser.add_argument('--cache', dest='cache', action='store', type=str, default='',help='TODO')
parser.add_argument('--data', dest='data', action='store', type=str, default='',help='TODO')
parser.add_argument('--mode', dest='mode', action='store', type=str, default='auto',help='TODO')
args = vars(parser.parse_args())
cache = sqlite.sqlite();
cache.setCacheLocation(args['cache'])
cache.initialize()
analyzer = BackupAnalyzer()
analyzer.setCache(cache)
analyzer.initialize()
if args['mode']=='auto':
print "items total: %d files" % (analyzer.getFilesCount())
print "items total: %d dirs" % (analyzer.getDirsCount())
print "size total: %s" % (humanize.naturalsize(analyzer.getTotalSize()))
print " avg size: %s" % (humanize.naturalsize(analyzer.getAvgSize()))
print " median size: %s" % (humanize.naturalsize(analyzer.getMedianSize()))
print "duplicated files total: %s files" % (analyzer.getDuplicatedFilesCount())
print "duplicated files size: %s" % (humanize.naturalsize(analyzer.getDuplicatedFilesSize()))
print "duplicated empty files : %s files" % (analyzer.getEmptyFilesCount())
print "largest 10 files: \n %s" % "\n ".join((("%s (%s)" % (os.path.basename(path), humanize.naturalsize(size))) for (size, path) in analyzer.getTop10LargestFiles() if True))
print "empty dirs: %s" % (analyzer.getEmptyDirsCount())
