def rescan(args, dirname, files):
env, log, sql_hasher, stats = args
for f in files:
path = abspath(join(dirname, f))
upath = path.encode('utf-8')
if isfile(path):
dbentry = sql_hasher.read(path)
if dbentry:
last_check = (time() - dbentry[5])
if last_check < env['INTERVAL']:
stats['fskipped'] += 1
stats['size_skipped'] += dbentry[2]
days = (env['INTERVAL'] - last_check) / (60 * 60 * 24)
out = '- [in {} days] \t{}'
log.info(out.format(round(days, 2), upath))
else:
st_path, st_hash, st_size, st_took, st_first, st_last = dbentry
chash, took = hash_pipe(path, sql_hasher.ctype)
out = '= [{} {}] \t{}'
log.info(out.format(grab_unit(st_size), ftime(took), upath))
if st_hash != chash:
err = '! {}\n\tstored: {}\n\tcurrent: {}\n'
log.error(err.format(path, st_hash, chash))
raise AssertionError(err)
else:
fpinfo = os.stat(path)
checksum, took = hash_pipe(path, sql_hasher.ctype)
size = fpinfo.st_size
stats['size_new'] += size
out = '* [{0:>5} {1:>7}] \t{2}'
log.info(out.format(grab_unit(size), ftime(took), upath))
sql_hasher.insert(path, checksum, size, took)
stats['fnew'] += 1
stats['ftotal'] += 1
def scan_store(name, dry=False):
stats = dict(fnew=0, fdiffers=0, ftotal=0, fskipped=0, size_new=0, size_skipped=0)
if name not in ICENV['WATCHED']:
raise IOError('store does not exist!')
path = ICENV['WATCHED'][name]
stats['path'] = path
logger = init_logger(join(LOG_DIR, '{}-{}-{}.log'.format(name, ICENV['ALGORITHM'], now())))
sql_hasher = SQLhash(dbfile(name, ICENV), ICENV['ALGORITHM'])
tstart = time()
try:
if not dry:
walk(path, rescan, (ICENV, logger, sql_hasher, stats))
except KeyboardInterrupt:
logger.debug('caught KeyboardInterrupt; stop!')
except Exception as err:
logger.debug('undefined error: {}'.format(err))
raise err
tstop = time()
stats['size'] = sql_hasher.size()
stats['tdiff'] = tstop - tstart
stats['speed'] = (stats['size_new'] / pow(1024, 2)) / (stats['tdiff'] or 1)
stats['line'] = 79 * '-'
stats['algorithm'] = ICENV['ALGORITHM']
stats['label'] = name
stats['filecount'] = sql_hasher.length()
stats['runtime'] = round(tstop - tstart, 5)
stats['size_sum'] = grab_unit(stats['size'])
stats['took'] = ftime(stats['tdiff'])
for key in ['size_new', 'size_skipped']:
stats[key] = grab_unit(stats[key])
return stats