def directory():
# 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')
return directory
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 as:
# 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
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 as:
# 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 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)
# find the user running now
users = sch.find_users(now)
# print user information
sch.print_users(users)
# share the data directory in the personal end point 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)
# upload the raw data to the remote Globus server set in globus.ini (i.e. petrel)
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 as:
# 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 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)
# find the user running now
users = sch.find_users(now)
# print user information
sch.print_users(users)
# share the raw data 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, 'local')
for share in cmd:
print share
#os.system(share)
# upload the raw data to the remote Globus server set in globus.ini (i.e. petrel)