def compute_sim_flex():
"""
compute the difference between sim flex temp and set point
input: none, but read data from achieve
output: <msid>_data.fits/<msid>_short_data.fits/<msid>_week_data.fits
"""
#
#--- set a couple of values/lists
#
group = 'Compsimoffset'
msid_list = ['flexadif', 'flexbdif', 'flexcdif']
msid_sub = [['flexadif', '3faflaat', '3sflxast', '-'],\
['flexbdif', '3faflbat', '3sflxbst', '-'],\
['flexcdif', '3faflcat', '3sflxcst', '-']]
mta_db = ecf.read_mta_database()
for msid in msid_list:
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = get_limit_for_acis_power(msid, mta_db)
#
#--- update database
#
uds.run_update_with_ska(msid, group, msid_sub_list=msid_sub, glim=glim)
def compute_acis_power():
"""
compute acis power from existing msid values and update database
input: none, but read data from achieve
output: <msid>_data.fits/<msid>_short_data.fits/<msid>_week_data.fits
"""
#
#--- set a couple of values/list
#
group = 'Compacispwr'
msid_list = ['1dppwra', '1dppwrb']
msid_sub = [['1dppwra', '1dp28avo', '1dpicacu', '*'], ['1dppwrb', '1dp28bvo', '1dpicbcu', '*']]
#
#--- create msid <---> unit dictionary
#
[udict, ddict] = ecf.read_unit_list()
#
#--- read mta database
#
mta_db = ecf.read_mta_database()
for msid in msid_list:
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = get_limit_for_acis_power(msid, mta_db)
#
#--- update database
#
uds.update_week_database(msid, group, glim, msid_sub = msid_sub)
def run_update_with_ska(msid, group, msid_sub_list=[], glim=''):
"""
extract data from ska database and update the data for the msids in the msid_list
input: msid --- a list of msids
group --- the group of the msids
msid_sub_list --- a list of lists of:
[msid, msid_1, msid_2, operand]
this is used to compute the first msid from following two
msid values with operand (+/-/*)
glim --- glim usually found in this function, but you can give it; default: ''
output: <msid>_data.fits, <msid>_short_data,fits, <msid>_week_data.fits
"""
#
#--- get basic information dict/list
#
[udict, ddict, mta_db, mta_cross] = ecf.get_basic_info_dict()
#
#--- set starting and stopping data period
#
test_fits = data_dir + group.capitalize() + '/' + msid + '_data.fits'
if os.path.isfile(test_fits):
tstart = ecf.find_the_last_entry_time(test_fits)
ttemp = time.strftime("%Y:%j:00:00:00", time.gmtime())
tstop = Chandra.Time.DateTime(ttemp).secs - 86400.0
if tstop < tstart:
exit(1)
if len(msid_sub_list) != 0:
[dtime, tdata] = compute_sub_msid(msid, msid_sub_list, tstart, tstop)
else:
out = fetch.MSID(msid, tstart, tstop)
ok = ~out.bads
dtime = out.times[ok]
tdata = out.vals[ok]
#
#--- fetch occasionally adds -999.xxx to the output data of some msids; remove them (Jun 13, 2018)
#
tind = [(tdata > -999) | (tdata <= -1000)]
dtime = dtime[tind]
tdata = tdata[tind]
#
#--- get limit data table for the msid
#
if glim == '':
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
if msid in sp_limt_case_c:
tchk = 1
glim = ecf.get_limit(msid, tchk, mta_db, mta_cross)
#
#--- update database
#
update_database(msid, group, dtime, tdata, glim)
def extract_hrcveto_data():
"""
extract hrc veto data
input: none
output: fits file data related to grad and comp
"""
#
#--- set basic information
#
group = 'Hrcveto'
cols = ['TLEVART', 'VLEVART', 'SHEVART']
[udict, ddict, mta_db, mta_cross] = ecf.get_basic_info_dict()
#
#--- find the date to be filled
#
ctime = ecf.find_the_last_entry_time(testfits)
start = Chandra.Time.DateTime(ctime).date
today = time.strftime("%Y:%j:00:00:00", time.gmtime())
ctime = Chandra.Time.DateTime(today).secs - 43200.0
stop = Chandra.Time.DateTime(ctime).date
print("Group: " + group + ': ' + str(start) + '<-->' + str(stop))
[xxx, tbdata] = uds.extract_data_arc5gl('hrc', '0', 'hrcss', start, stop)
#
#--- get time data in the list form
#
dtime = list(tbdata.field('time'))
for col in cols:
#
#---- extract data in a list form
#
data = list(tbdata.field(col))
#
#--- change col name to msid
#
msid = col.lower()
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = ecf.get_limit(msid, tchk, mta_db, mta_cross)
#
#--- update database
#
uds.update_database(msid, group, dtime, data, glim)
def get_data(msid, start, stop):
"""
create an interactive html page for a given msid
input: msid --- msid
oup --- group name
start --- start time
stop --- stop time
output: ttime --- a list of time data
tdata --- a list of data
"""
# start = ecf.check_time_format(start)
# stop = ecf.check_time_format(stop)
#
#--- create msid <---> unit dictionary
#
[udict, ddict] = ecf.read_unit_list()
#
#--- read mta database
#
mta_db = ecf.read_mta_database()
#
#--- read mta msid <---> sql msid conversion list
#
mta_cross = ecf.read_cross_check_table()
#
#--- get limit data table for the msid
#
try:
uck = udict[msid]
if uck.lower() == 'k':
tchk = 1
else:
tchk = ecf.convert_unit_indicator(uchk)
except:
tchk = 0
glim = ecf.get_limit(msid, tchk, mta_db, mta_cross)
#
#--- extract data from archive
#
chk = 0
try:
out = fetch.MSID(msid, start, stop)
tdata = out.vals
ttime = out.times
except:
tdata = []
ttime = []
return [ttime, tdata]
def run_update_with_archive(msid_list, group, date_list, detector, level, filetype, tstart, tstop, sub=''):
"""
extract data using arc5gl and update the data for the msids in the msid_list
input: msid_list --- the name of the list of msids
group --- a group name
date_list --- a list of date to be processed in the form of <yyyy>:<ddd>
detector --- detector name
level --- level
filetype --- file name
tstart --- starting time
tstop --- stopping time
sub --- subdetector name; defalut "" --- no sub detector
output: <msid>_data.fits, <msid>_short_data,fits, <msid>_week_data.fits
"""
#
#--- get basic information dict/list
#
[udict, ddict, mta_db, mta_cross] = ecf.get_basic_info_dict()
#
#--- extract data using arc5gl
#
[cols, tbdata] = extract_data_arc5gl(detector, level, filetype, tstart, tstop, sub='')
#
#--- get time data in the list form
#
dtime = list(tbdata.field('time'))
for col in msid_list:
#
#---- extract data in a list form
#
data = list(tbdata.field(col))
#
#--- change col name to msid
#
msid = col.lower()
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = ecf.get_limit(msid, tchk, mta_db, mta_cross)
#
#--- update database
#
update_database(msid, group, dtime, data, glim)
def update_simsuppl_data(date=''):
"""
collect sim msids data
input: date ---- the date in yyyymmdd format. if not given, yesterday's date is used
output: fits file data related to sim
"""
#
#--- read group names which need special treatment
#
sfile = house_keeping + 'msid_list_simactu_supple'
data = mcf.read_data_file(sfile)
cols = []
g_dir = {}
for ent in data:
atemp = re.split('\s+', ent)
cols.append(atemp[0])
g_dir[atemp[0]] = atemp[1]
#
#--- get the basic information
#
[udict, ddict, mta_db, mta_cross] = ecf.get_basic_info_dict()
#
#--- find date to read the data
#
if date == '':
date_list = ecf.create_date_list_to_yestaday(testfits)
else:
date_list = [date]
for sday in date_list:
sday = sday[:4] + '-' + sday[4:6] + '-' + sday[6:]
print("Date: " + sday)
start = sday + 'T00:00:00'
stop = sday + 'T23:59:59'
[xxx, tbdata] = extract_data_arc5gl('sim', '0', 'sim', start, stop)
#
#--- get time data in the list form
#
dtime = list(tbdata.field('time'))
for k in range(0, len(cols)):
#
#--- select col name without ST_ (which is standard dev)
#
col = cols[k]
#
#---- extract data in a list form
#
data = list(tbdata.field(col))
#
#--- change col name to msid
#
msid = col.lower()
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = ecf.get_limit(msid, tchk, mta_db, mta_cross)
#
#--- update database
#
update_database(msid, g_dir[msid], dtime, data, glim)
def update_grad_and_comp_data(date=''):
"""
collect grad and comp data for trending
input: date ---- the data colletion end date in yyyymmdd format. if not given, yesterday's date is used
output: fits file data related to grad and comp
"""
#
#--- read group names which need special treatment
#
sfile = house_keeping + 'mp_process_list'
glist = ecf.read_file_data(sfile)
#
#--- create msid <---> unit dictionary
#
[udict, ddict] = ecf.read_unit_list()
#
#--- read mta database
#
mta_db = ecf.read_mta_database()
#
#--- read mta msid <---> sql msid conversion list
#
mta_cross = ecf.read_cross_check_table()
#
#--- find date to read the data
#
if date == '':
yesterday = datetime.date.today() - datetime.timedelta(1)
yesterday = str(yesterday).replace('-', '')
date_list = find_the_last_entry_time(yesterday)
else:
date_list = [date]
for day in date_list:
#
#--- find the names of the fits files of the day of the group
#
print "Date: " + str(day)
for group in glist:
print "Group: " + str(group)
cmd = 'ls /data/mta_www/mp_reports/' + day + '/' + group + '/data/mta*fits* > ' + zspace
os.system(cmd)
flist = ecf.read_file_data(zspace, remove=1)
#
#--- combined them
#
flen = len(flist)
if flen == 0:
continue
elif flen == 1:
cmd = 'cp ' + flist[0] + ' ./ztemp.fits'
os.system(cmd)
else:
mfo.appendFitsTable(flist[0], flist[1], 'ztemp.fits')
if flen > 2:
for k in range(2, flen):
mfo.appendFitsTable('ztemp.fits', flist[k], 'out.fits')
cmd = 'mv out.fits ztemp.fits'
os.system(cmd)
#
#--- read out the data for the full day
#
[cols, tbdata] = ecf.read_fits_file('ztemp.fits')
cmd = 'rm -f ztemp.fits out.fits'
os.system(cmd)
#
#--- get time data in the list form
#
dtime = list(tbdata.field('time'))
for k in range(1, len(cols)):
#
#--- select col name without ST_ (which is standard dev)
#
col = cols[k]
mc = re.search('ST_', col)
if mc is not None:
continue
#
#---- extract data in a list form
#
data = list(tbdata.field(col))
#
#--- change col name to msid
#
msid = col.lower()
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = get_limit(msid, tchk, mta_db, mta_cross)
#
#--- update database
#
update_database(msid, group, dtime, data, glim)
def update_eph_data_from_comm(date = ''):
"""
collect eph data for trending
input: date ---- the data collection end date in yyyymmdd format.
if not given, yesterday's date is used
output: fits file data related to grad and comp
"""
#
#--- read group names which need special treatment
#
#sfile = house_keeping + 'eph_list'
#glist = mcf.read_data_file(sfile)
glist = ['ephhk',]
#
#--- create msid <---> unit dictionary
#
[udict, ddict] = ecf.read_unit_list()
#
#--- read mta database
#
mta_db = ecf.read_mta_database()
#
#--- read mta msid <---> sql msid conversion list
#
mta_cross = ecf.read_cross_check_table()
#
#--- find date to read the data
#
if date == '':
yesterday = datetime.date.today() - datetime.timedelta(1)
yesterday = str(yesterday).replace('-', '')
date_list = create_date_list(yesterday)
else:
date_list = [date]
error_message = ''
for day in date_list:
#
#--- find the names of the fits files of the day of the group
#
dline = "Date: " + str(day)
print(dline)
for group in glist:
print("Group: " + str(group))
cmd = 'ls /data/mta_www/mp_reports/' + day + '/' + group + '/data/* > ' + zspace
os.system(cmd)
tlist = mcf.read_data_file(zspace, remove=1)
flist = []
for ent in tlist:
mc = re.search('_STephhk_static_eio0.fits', ent)
if mc is not None:
flist.append(ent)
#
#--- combined them
#
flen = len(flist)
if flen == 0:
continue
elif flen == 1:
cmd = 'cp ' + flist[0] + ' ./ztemp.fits'
os.system(cmd)
else:
mcf.rm_files('ztemp.fits')
mfo. appendFitsTable(flist[0], flist[1], 'ztemp.fits')
if flen > 2:
for k in range(2, flen):
mfo. appendFitsTable('ztemp.fits', flist[k], 'out.fits')
cmd = 'mv out.fits ztemp.fits'
os.system(cmd)
#
#--- read out the data for the full day
#
[cols, tbdata] = ecf.read_fits_file('ztemp.fits')
cmd = 'rm -f ztemp.fits out.fits'
os.system(cmd)
#
#--- get time data in the list form
#
dtime = list(tbdata.field('time'))
for k in range(1, len(cols)):
#
#--- select col name without ST_ (which is standard dev)
#
col = cols[k]
mc = re.search('ST_', col)
if mc is not None:
continue
mc = re.search('quality', col, re.IGNORECASE)
if mc is not None:
continue
#
#---- extract data in a list form
#
data = list(tbdata.field(col))
#
#--- change col name to msid
#
msid = col.lower()
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = ecf.get_limit(msid, tchk, mta_db, mta_cross)
#
#--- update database
#
wline = uds.update_database(msid, group.capitalize(), dtime, data, glim)
if wline != "":
error_message = error_message + dline + '\n' + wline
#
#--- if there are errors, sending error message
#
if error_message != "":
error_message = 'MTA limit trend EPH got problems: \n' + error_message
fo = open(zspace, 'w')
fo.write(error_message)
fo.close()
cmd = 'cat ' + zspace + ' | mailx -s "Subject: EPH data update problem "'
cmd = cmd + '*****@*****.**'
os.system(cmd)
mcf.rm_files(zspace)
def create_interactive_page(msid, group, mtype, start, stop, step):
"""
create an interactive html page for a given msid
input: msid --- msid
group --- group name
mtype --- mid, mde, min, or max
start --- start time
stop --- stop time
step --- bin size in seconds
"""
start = ecf.check_time_format(start)
stop = ecf.check_time_format(stop)
#
#--- create msid <---> unit dictionary
#
[udict, ddict] = ecf.read_unit_list()
#
#--- read mta database
#
mta_db = ecf.read_mta_database()
#
#--- read mta msid <---> sql msid conversion list
#
mta_cross = ecf.read_cross_check_table()
#
#--- get limit data table for the msid
#
try:
uck = udict[msid]
if uck.lower() == 'k':
tchk = 1
else:
tchk = ecf.convert_unit_indicator(uchk)
except:
tchk = 0
glim = make_glim(msid)
#
#--- extract data from archive
#
chk = 0
try:
[ttime, tdata] = rf.get_data(msid, start, stop)
except:
#
#--- if no data in archive, try mta local database
#
try:
[ttime, tdata] = get_mta_fits_data(msid, group, start, stop)
#
#--- if it is also failed, return the empty data set
#
except:
chk = 1
ttime = []
tdata = []
#
#--- only short_p can change step size (by setting "step")
#
if chk == 0:
data_p = process_day_data(msid, ttime, tdata, glim, step=step)
else:
data_p = 'na'
#
#--- create interactive html page
#
create_html_page(msid, group, data_p, mtype, step)
def create_interactive_page(msid, group, start, stop, step):
"""
create an interactive html page for a given msid
input: msid --- msid
group --- group name
start --- start time
stop --- stop time
step --- bin size in seconds
"""
start = ecf.check_time_format(start)
stop = ecf.check_time_format(stop)
#
#--- create msid <---> unit dictionary
#
[udict, ddict] = ecf.read_unit_list()
#
#--- read mta database
#
mta_db = ecf.read_mta_database()
#
#--- read mta msid <---> sql msid conversion list
#
mta_cross = ecf.read_cross_check_table()
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = ecf.get_limit(msid, tchk, mta_db, mta_cross)
#
#--- extract data from archive
#
chk = 0
try:
out = fetch.MSID(msid, start, stop)
tdata = out.vals
ttime = out.times
except:
#
#--- if no data in archive, try mta local database
#
try:
[ttime, tdata] = uds.get_mta_fits_data(msid, start, stop)
#
#--- if it is also failed, return the empty data set
#
except:
chk = 1
#
#--- only short_p can change step size (by setting "step")
#
if chk == 0:
[week_p, short_p, long_p] = uds.process_day_data(msid,
ttime,
tdata,
glim,
step=step)
#
#--- try to find data from ska or mta local data base
#
try:
fits_data = create_inter_fits(msid, short_p)
#
#--- for the case, the data is mta special cases
#
except:
fits_data = 'na'
else:
fits_data = 'na'
#
#--- create interactive html page
#
create_html_page(msid, fits_data, step)
#
#--- remove fits file
#
if fits_data != 'na':
cmd = 'rm -rf ' + fits_data
os.system(cmd)
def tephin_leak_data_update(year=''):
"""
update tephin - ephin rate/leak current data
input: year --- year of the data to be updated. if it is '', the current year is used
output: <data_dir>/<msid>/<msid>_data_<year>.fits
"""
#
#--- set data extraction period
#
tout = set_time_period(year)
if len(tout) == 6:
[ltstart, ltstop, lyear, tstart, tstop, year] = tout
chk = 1
else:
[tstart, tstop, year] = tout
chk = 0
#
#--- get the basic information
#
[udict, ddict, mta_db, mta_cross] = ecf.get_basic_info_dict()
#
#--- extract tephin data
#
tchk = ecf.convert_unit_indicator(udict['tephin'])
glim = ecf.get_limit('tephin', tchk, mta_db, mta_cross)
#
#--- for the case the time span goes over the year boundary
#
if chk == 1:
ltephin = update_database('tephin', 'Eleak', glim, ltstart, ltstop,
lyear)
tephin = update_database('tephin', 'Eleak', glim, tstart, tstop, year)
#
#--- read msid list
#
mfile = house_keeping + 'msid_list_eph_tephin'
data = mcf.read_data_file(mfile)
for ent in data:
#
#--- find msid and group name
#
mc = re.search('#', ent)
if mc is not None:
continue
try:
[msid, group] = re.split('\s+', ent)
except:
atemp = re.split('\s+', ent)
msid = atemp[0]
group = atemp[1]
msid.strip()
group.strip()
#
#--- get limit data table for the msid
#
try:
tchk = ecf.convert_unit_indicator(udict[msid])
except:
tchk = 0
glim = ecf.get_limit(msid, tchk, mta_db, mta_cross)
#
#--- update database
#
try:
out = fetch.MSID(msid, '2017:001:00:00:00', '2017:002')
print("MSID: " + msid)
except:
missed = house_keeping + '/missing_data'
with open(missed, 'a') as fo:
fo.write(msid + '\n')
continue
#
#--- for the case, the time span goes over the year boundary
#
if chk == 1:
update_database(msid,
group,
glim,
ltstart,
ltstop,
lyear,
sdata=ltephin)
try:
update_database(msid,
group,
glim,
tstart,
tstop,
year,
sdata=tephin)
except:
pass
