#!/usr/bin/python
#
# Werner Lustermann
# ETH Zurich
#
from ROOT import *

# get the MARS library loaded
gSystem.Load(  '/data02/scratch/Mars_20111207_2145_from_data/libmars.so' )
from ROOT import *

from numpy import loadtxt

from callisto2 import callisto

FACT_map_file_name = 'FACTmap111030.txt'

df_extension = '.fits' # extension/format of the data file
gzip = '.gz' # are the data compressed ? if not use ''

data_path = '/data00/fact-construction/raw/' # path to the data
res_path  = '~/res/' # path to the storage of the results
res_tag   = '_callisto' # tag added to the filename with the results
res_ext   = '.root'     # extension of the filename with the results

rl_name = 'runlist_julia_dec2011.txt' # name of the file (inluding path) to the runlist
# rl ... runlist
rl = loadtxt( rl_name, dtype={'names':('drsf','df','dd','mm','yyyy'), 'formats': ('S3','S3','S2','S2','S4') } )

for run in rl:
    print 'processing run: ', run
    dp = data_path + run['yyyy'] + '/' + run['mm'] + '/' + run['dd'] + '/'
    fnd = run['yyyy'] + run['mm'] + run['dd'] + '_'
    data_file_name = dp + fnd + run['df'] + df_extension + gzip
    drs_file_name  = dp + fnd + run['drsf'] + '.drs' + df_extension + gzip
    res_file_name  = res_path + fnd + run['df'] + res_tag + res_ext
    print data_file_name
    print drs_file_name
    print res_file_name
    print
    # call the mars macro (converted to python) for doing the job
    callisto( drs_file_name, data_file_name, FACT_map_file_name, res_file_name )

print 'no matter what you do eventually it will be finished'