#!/usr/bin/env python
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"""
Module containing an example on how to use DMagic to setup an experiment for 
managed data saving by monitoring the raw data collection folder and 
automatically copy to the data processing machine and share to users via Globus.

"""

import pytz
import datetime
import sys
import os

# set ~/globus.ini and ~/scheduling.ini to match your configuration
import dmagic.scheduling as sch
import dmagic.globus as gb

# print the current Globus settings
gb.dm_settings()

# set the experiment date 
now = datetime.datetime.today()
#now = datetime.datetime(2014, 10, 18, 10, 10, 30)
print "Today's date: ", now

# find the experiment starting date
exp_start = sch.find_experiment_start(now)
print "Experiment starting date/time: ", exp_start

# create a unique experiment ID using GUP and beamtime request (BR) numbers:  g + GUP# + r + BR#
#exp_id = sch.create_experiment_id(now)
             
# create an experiment ID using the PI last name 
exp_id = sch.find_pi_last_name(now)
print "Experiment ID: ", exp_id

# create a local directory to store the raw data as: 
# \local_folder\YYYY-MM\gGUP#rBR#\  or \local_folder\YYYY-MM\PI_last_name\  
directory = gb.dm_create_directory(exp_start, exp_id, 'local')

# create the same directory on the globus personal endpoint
gb.dm_create_directory(exp_start, exp_id, 'personal')

# find the user running now
users = sch.find_users(now)

# print user information
sch.print_users(users)

# share the personal endpoint directory with the users. 
# users will receive an e-mail with a drop-box style link to access the data
cmd = gb.dm_share(directory, users, 'personal')
for share in cmd: 
    print share
    #os.system(share)

# monitor the local directory and automatically copy any new file
# to the shared directory on the globus personal endpoint
gb.dm_monitor(directory)

