def CrawlThruLyraData():
swiftdict = ParseSwiftCat.parseswiftcat(swift_cat_path)
rawpaths=[]
ptel_dict={}
error_paths=[]
globstr = '/Volumes/BR2/Bloom/PAIRITEL-DATA/sem20???/Dir20??-???-??/'
rawpaths = glob.glob(globstr)
for path in rawpaths:
try:
ptel_dict = RawToDatabase(path,objtype='GRB',pteldict=ptel_dict,swiftcatdict=swiftdict)
except:
error_paths.append(path)
globstr = '/Volumes/BR2/Bloom/PAIRITEL-DATA/sem20???/Dir20??-???-??/Raw/'
rawpaths = glob.glob(globstr)
for path in rawpaths:
try:
ptel_dict = RawToDatabase(path,objtype='GRB',pteldict=ptel_dict,swiftcatdict=swiftdict)
except:
error_paths.append(path)
globstr = '/Volumes/BR2/Bloom/PAIRITEL-DATA/sem20???/Dir20??-???-??/raw/'
rawpaths = glob.glob(globstr)
for path in rawpaths:
try:
ptel_dict = RawToDatabase(path,objtype='GRB',pteldict=ptel_dict,swiftcatdict=swiftdict)
except:
error_paths.append(path)
print 'error paths:', error_paths
return ptel_dict
def CrawlThruLyraData():
swiftdict = ParseSwiftCat.parseswiftcat(swift_cat_path)
rawpaths = []
ptel_dict = {}
error_paths = []
globstr = "/Volumes/BR2/Bloom/PAIRITEL-DATA/sem20???/Dir20??-???-??/"
rawpaths = glob.glob(globstr)
for path in rawpaths:
try:
ptel_dict = RawToDatabase(path, objtype="GRB", pteldict=ptel_dict, swiftcatdict=swiftdict)
except:
error_paths.append(path)
globstr = "/Volumes/BR2/Bloom/PAIRITEL-DATA/sem20???/Dir20??-???-??/Raw/"
rawpaths = glob.glob(globstr)
for path in rawpaths:
try:
ptel_dict = RawToDatabase(path, objtype="GRB", pteldict=ptel_dict, swiftcatdict=swiftdict)
except:
error_paths.append(path)
globstr = "/Volumes/BR2/Bloom/PAIRITEL-DATA/sem20???/Dir20??-???-??/raw/"
rawpaths = glob.glob(globstr)
for path in rawpaths:
try:
ptel_dict = RawToDatabase(path, objtype="GRB", pteldict=ptel_dict, swiftcatdict=swiftdict)
except:
error_paths.append(path)
print "error paths:", error_paths
return ptel_dict
def RawToDatabase(raw_path,objtype='GRB',pteldict={},swiftcatdict={}):
'''Given a path to raw pairitel data and and object ID (could be '*'),
load some basic information from the pairitel data and, if a swift trigger,
attempt to load extra information about the trigger and put it in a database
(for now, just a csv file)
How to get all the raw data from lyra? Maybe just search for all p0-0 files
with GRB string; this still may be thousands of files..
'''
if not os.path.exists(swift_cat_path): print "WARNING: %s does not exist." % (swift_cat_path)
# Feed it a raw data folder, grab a list of all the raw p0-0.fits files
if swiftcatdict=={}:
swiftcatdict = ParseSwiftCat.parseswiftcat(swift_cat_path)
# pteldict = {}
if not os.path.isdir(raw_path): sys.exit('Not a Directory. Exiting.')
globstr = raw_path + 'r20*' + objtype + '*p0-0.fits'
raw_list = glob.glob(globstr)
print raw_list
for filepath in raw_list:
semester = ''
burst_time_str = ''
grb = ''
time_delta_hours_str = ''
comments = ''
# filepath = raw_path + '/' + filename
# Open the fits file
hdulist = pyfits.open(filepath)
# Get the primary header. For raw ptel data, should only be 1 header.
prihdr = hdulist[0].header
# Get the observation ID, e.g. swift-123456, integral-3501
target_id = prihdr['TRGTNAME']
splittarget_id = target_id.split('-')
# If it was able to be split into two, the format is mission-triggerid
if len(splittarget_id) == 2:
mission = splittarget_id[0]
triggerid = splittarget_id[1]
else:
mission = 'Unknown'
triggerid = 'Unknown'
# GRB.10000.1
object_id = prihdr['OBJECT']
# Get the time of the first (p0-0) observation for a particular ID
# '2006-09-29 08:45:31.824422'
ptel_time = prihdr['STRT_CPU']
# Split off the microseconds at the end since I don't know how to deal with them atm
ptel_time_split = ptel_time.split('.')
# The followin is the format in the ptel header with the microseconds stripped off
fmt = '%Y-%m-%d %H:%M:%S'
ptel_time_tuple=time.strptime(ptel_time_split[0],fmt)
# Convert to seconds since the epoch (sse)
ptel_time_sse = time.mktime(ptel_time_tuple)
try:
ra = prihdr['RA']
dec = prihdr['DEC']
except:
ra = 0.00
dec = 0.00
if target_id not in pteldict:
targdict = {target_id:{'mission':mission,'triggerid':triggerid,'obs':{object_id:{'scope_ra':ra,'scope_dec':dec,'filename':filepath,'first_obs_time_sse':ptel_time_sse,'first_obs_time':ptel_time_split[0]}}}}
pteldict.update(targdict)
else:
# Check to see if there is already an object id with that name
# if there is, make a new object id name
if object_id not in pteldict[target_id]['obs']:
pteldict[target_id]['obs'].update({object_id:{'scope_ra':ra,'scope_dec':dec,'filename':filepath,'first_obs_time_sse':ptel_time_sse,'first_obs_time':ptel_time_split[0]}})
else:
new_obj_id = str(object_id) + '_' + str(ptel_time_sse)
pteldict[target_id]['obs'].update({new_obj_id:{'scope_ra':ra,'scope_dec':dec,'filename':filepath,'first_obs_time_sse':ptel_time_sse,'first_obs_time':ptel_time_split[0]}})
# if 'ptel_time_sse' not in pteldict[target_id]:
# pteldict[target_id].update({'ptel_time_sse':pteldict[target_id]['obs'][object_id]['first_obs_time_sse']})
# pteldict[target_id].update({'ptel_time':pteldict[target_id]['obs'][object_id]['first_obs_time']})
# else: # if new object observation time is less than the old recorded first time, then subtract
# if pteldict[target_id]['ptel_time_sse'] > pteldict[target_id]['obs'][object_id]['first_obs_time_sse']:
# pteldict[target_id]['ptel_time_sse'] = pteldict[target_id]['obs'][object_id]['first_obs_time_sse']
# pteldict[target_id]['ptel_time'] = pteldict[target_id]['obs'][object_id]['first_obs_time']
# If mission == swift, grab info from published Swift Catalog
if mission == 'swift' and swiftcatdict != {}:
found_id = False
# THE FOLLOWING IS A VERY INEFFICIENT LOOP. But it should work in the interim.
for grb_str,catdict in swiftcatdict.iteritems():
# if the triggerids match, then grab the info
if triggerid == catdict['triggerid_str']:
found_id = True
grb = grb_str
# YYMMDD
grb_ymd = grb_str[0:6]
# HH:MM:SS.??
burst_time = catdict['burst_time_str']
burst_time_split = burst_time.split('.')
# YYMMDDHH:MM:SS
burst_time_toparse = grb_ymd + burst_time_split[0]
bt_fmt = '%y%m%d%H:%M:%S'
burst_time_tuple = time.strptime(burst_time_toparse,bt_fmt)
# Convert to seconds since last epoch
burst_time_sse = time.mktime(burst_time_tuple)
burst_time_str = time.strftime(fmt,burst_time_tuple)
# Get difference from PTEL time from Burst Time in seconds
time_delta = ptel_time_sse - burst_time_sse
time_delta_hours = time_delta/3600.0
time_delta_hours_str = str(time_delta_hours)
# pteldict[target_id].update({'time_delta':time_delta_hours,'grb_time_sse':burst_time_sse,'grb_time':burst_time_str})
pteldict[target_id].update({'grb_time_sse':burst_time_sse,'grb_time':burst_time_str,'grb_name':grb})
if found_id == False:
print 'COULD NOT FIND ID %s in SWIFT CATALOG' % (triggerid)
else:
print 'Cannot yet grab extra info for %s.' % (target_id)
string_output = '%s,%s,%s,%s,%s,%s,%s,%s' % (semester,grb,object_id,target_id,ptel_time_split[0],burst_time_str,time_delta_hours_str,comments)
print string_output
hdulist.close()
# loop through observations in pteldict to find the earliest one for time purposes
for target,targdict in pteldict.iteritems():
min_ptel_time = 2.0E10 # Reset value
min_ptel_time_string = ''
time_delta = 0.0
for observation,obsdict in targdict['obs'].iteritems():
if obsdict['first_obs_time_sse'] < min_ptel_time:
min_ptel_time = obsdict['first_obs_time_sse']
min_ptel_time_string = obsdict['first_obs_time']
# if we have the GRB time, calculate the time_delta in hours
if 'grb_time_sse' in targdict:
time_delta = (min_ptel_time - targdict['grb_time_sse'])/3600.0
targdict.update({'time_delta':time_delta})
targdict.update({'ptel_time_sse':min_ptel_time,'ptel_time':min_ptel_time_string})
#TODO: If two object_ids have the same target_id, combine them.
return pteldict
def RawToDatabase(raw_path, objtype="GRB", pteldict={}, swiftcatdict={}):
"""Given a path to raw pairitel data and and object ID (could be '*'),
load some basic information from the pairitel data and, if a swift trigger,
attempt to load extra information about the trigger and put it in a database
(for now, just a csv file)
How to get all the raw data from lyra? Maybe just search for all p0-0 files
with GRB string; this still may be thousands of files..
"""
if not os.path.exists(swift_cat_path):
print "WARNING: %s does not exist." % (swift_cat_path)
# Feed it a raw data folder, grab a list of all the raw p0-0.fits files
if swiftcatdict == {}:
swiftcatdict = ParseSwiftCat.parseswiftcat(swift_cat_path)
# pteldict = {}
if not os.path.isdir(raw_path):
sys.exit("Not a Directory. Exiting.")
globstr = raw_path + "r20*" + objtype + "*p0-0.fits"
raw_list = glob.glob(globstr)
print raw_list
for filepath in raw_list:
semester = ""
burst_time_str = ""
grb = ""
time_delta_hours_str = ""
comments = ""
# filepath = raw_path + '/' + filename
# Open the fits file
hdulist = pyfits.open(filepath)
# Get the primary header. For raw ptel data, should only be 1 header.
prihdr = hdulist[0].header
# Get the observation ID, e.g. swift-123456, integral-3501
target_id = prihdr["TRGTNAME"]
splittarget_id = target_id.split("-")
# If it was able to be split into two, the format is mission-triggerid
if len(splittarget_id) == 2:
mission = splittarget_id[0]
triggerid = splittarget_id[1]
else:
mission = "Unknown"
triggerid = "Unknown"
# GRB.10000.1
object_id = prihdr["OBJECT"]
# Get the time of the first (p0-0) observation for a particular ID
# '2006-09-29 08:45:31.824422'
ptel_time = prihdr["STRT_CPU"]
# Split off the microseconds at the end since I don't know how to deal with them atm
ptel_time_split = ptel_time.split(".")
# The followin is the format in the ptel header with the microseconds stripped off
fmt = "%Y-%m-%d %H:%M:%S"
ptel_time_tuple = time.strptime(ptel_time_split[0], fmt)
# Convert to seconds since the epoch (sse)
ptel_time_sse = time.mktime(ptel_time_tuple)
try:
ra = prihdr["RA"]
dec = prihdr["DEC"]
except:
ra = 0.00
dec = 0.00
if target_id not in pteldict:
targdict = {
target_id: {
"mission": mission,
"triggerid": triggerid,
"obs": {
object_id: {
"scope_ra": ra,
"scope_dec": dec,
"filename": filepath,
"first_obs_time_sse": ptel_time_sse,
"first_obs_time": ptel_time_split[0],
}
},
}
}
pteldict.update(targdict)
else:
# Check to see if there is already an object id with that name
# if there is, make a new object id name
if object_id not in pteldict[target_id]["obs"]:
pteldict[target_id]["obs"].update(
{
object_id: {
"scope_ra": ra,
"scope_dec": dec,
"filename": filepath,
"first_obs_time_sse": ptel_time_sse,
"first_obs_time": ptel_time_split[0],
}
}
)
else:
new_obj_id = str(object_id) + "_" + str(ptel_time_sse)
pteldict[target_id]["obs"].update(
{
new_obj_id: {
"scope_ra": ra,
"scope_dec": dec,
"filename": filepath,
"first_obs_time_sse": ptel_time_sse,
"first_obs_time": ptel_time_split[0],
}
}
)
# if 'ptel_time_sse' not in pteldict[target_id]:
# pteldict[target_id].update({'ptel_time_sse':pteldict[target_id]['obs'][object_id]['first_obs_time_sse']})
# pteldict[target_id].update({'ptel_time':pteldict[target_id]['obs'][object_id]['first_obs_time']})
# else: # if new object observation time is less than the old recorded first time, then subtract
# if pteldict[target_id]['ptel_time_sse'] > pteldict[target_id]['obs'][object_id]['first_obs_time_sse']:
# pteldict[target_id]['ptel_time_sse'] = pteldict[target_id]['obs'][object_id]['first_obs_time_sse']
# pteldict[target_id]['ptel_time'] = pteldict[target_id]['obs'][object_id]['first_obs_time']
# If mission == swift, grab info from published Swift Catalog
if mission == "swift" and swiftcatdict != {}:
found_id = False
# THE FOLLOWING IS A VERY INEFFICIENT LOOP. But it should work in the interim.
for grb_str, catdict in swiftcatdict.iteritems():
# if the triggerids match, then grab the info
if triggerid == catdict["triggerid_str"]:
found_id = True
grb = grb_str
# YYMMDD
grb_ymd = grb_str[0:6]
# HH:MM:SS.??
burst_time = catdict["burst_time_str"]
burst_time_split = burst_time.split(".")
# YYMMDDHH:MM:SS
burst_time_toparse = grb_ymd + burst_time_split[0]
bt_fmt = "%y%m%d%H:%M:%S"
burst_time_tuple = time.strptime(burst_time_toparse, bt_fmt)
# Convert to seconds since last epoch
burst_time_sse = time.mktime(burst_time_tuple)
burst_time_str = time.strftime(fmt, burst_time_tuple)
# Get difference from PTEL time from Burst Time in seconds
time_delta = ptel_time_sse - burst_time_sse
time_delta_hours = time_delta / 3600.0
time_delta_hours_str = str(time_delta_hours)
# pteldict[target_id].update({'time_delta':time_delta_hours,'grb_time_sse':burst_time_sse,'grb_time':burst_time_str})
pteldict[target_id].update(
{"grb_time_sse": burst_time_sse, "grb_time": burst_time_str, "grb_name": grb}
)
if found_id == False:
print "COULD NOT FIND ID %s in SWIFT CATALOG" % (triggerid)
else:
print "Cannot yet grab extra info for %s." % (target_id)
string_output = "%s,%s,%s,%s,%s,%s,%s,%s" % (
semester,
grb,
object_id,
target_id,
ptel_time_split[0],
burst_time_str,
time_delta_hours_str,
comments,
)
print string_output
hdulist.close()
# loop through observations in pteldict to find the earliest one for time purposes
for target, targdict in pteldict.iteritems():
min_ptel_time = 2.0e10 # Reset value
min_ptel_time_string = ""
time_delta = 0.0
for observation, obsdict in targdict["obs"].iteritems():
if obsdict["first_obs_time_sse"] < min_ptel_time:
min_ptel_time = obsdict["first_obs_time_sse"]
min_ptel_time_string = obsdict["first_obs_time"]
# if we have the GRB time, calculate the time_delta in hours
if "grb_time_sse" in targdict:
time_delta = (min_ptel_time - targdict["grb_time_sse"]) / 3600.0
targdict.update({"time_delta": time_delta})
targdict.update({"ptel_time_sse": min_ptel_time, "ptel_time": min_ptel_time_string})
# TODO: If two object_ids have the same target_id, combine them.
return pteldict
