def makelogic(logic, startdate, enddate):
#set up the logic for different dates
date_logic=''
if startdate:
d,m,y=salttime.breakdate(startdate)
y=str(y)
m=string.zfill(m, 2)
d=string.zfill(d, 2)
date_logic += "UTStart > '%s-%s-%s 12:00:01'" % (y,m,d)
if startdate and enddate:
date_logic += " and "
if enddate:
edate=salttime.getnextdate(enddate)
d,m,y=salttime.breakdate(str(edate))
y=str(y)
m=string.zfill(m, 2)
d=string.zfill(d, 2)
date_logic += "UTStart < '%s-%s-%s 11:59:59'" % (y,m,d)
if logic and date_logic:
logic = '('+logic+')' + ' and ' + date_logic
else:
logic
return logic
def dataquality(obsdate, sdb, instrume, clobber=True, logfile=None, verbose=True):
"""Run the data quality measurement for each instrument
"""
if instrume=='rss':
instrumetable='FitsHeaderRss'
elif instrume=='scam':
instrumetable='FitsHeaderSalticam'
#Look for any biases from the night
sel_cmd='FileName'
tab_cmd='FileData join FitsHeaderImage using (FileData_Id) join %s using (FileData_Id)' % instrumetable
logic_cmd=makelogic("CCDTYPE='BIAS'", obsdate, getnextdate(obsdate))
record=saltmysql.select(sdb, sel_cmd, tab_cmd, logic_cmd)
print record
#Look for any flatfields from the night
sel_cmd='FileName'
tab_cmd='FileData join FitsHeaderImage using (FileData_Id) join %s using (FileData_Id)' % instrumetable
logic_cmd=makelogic("CCDTYPE='FLAT'", obsdate, getnextdate(obsdate))
record=saltmysql.select(sdb, sel_cmd, tab_cmd, logic_cmd)
print record
#Look for any Cal_SPST stars
sel_cmd='FileName'
tab_cmd='FileData join ProposalCode using (ProposalCode_Id) join FitsHeaderImage using (FileData_Id) join %s using (FileData_Id)' % instrumetable
logic_cmd=makelogic("CCDTYPE='OBJECT' and Proposal_Code='CAL_SPST'", obsdate, getnextdate(obsdate))
record=saltmysql.select(sdb, sel_cmd, tab_cmd, logic_cmd)
print record
#reduce each of the spectrophotometric standards
if len(record):
for infile in record:
profile='/salt/data/%s/%s/%s/product/mbxgp%s' % (obsdate[0:4], obsdate[4:8], instrume, infile[0])
reducespst(profile, obsdate, clobber=clobber, logfile=logfile, verbose=verbose)
def saltslewstats(startdate, enddate, elshost, elsname, elsuser, elspass,
sdbhost,sdbname,sdbuser, password, clobber,logfile,verbose):
# set up
proposers = []
propids = []
pids = []
with logging(logfile,debug) as log:
#open the database
els=saltmysql.connectdb(elshost, elsname, elsuser, elspass)
sdb=saltmysql.connectdb(sdbhost,sdbname,sdbuser, password)
#loop through each night and determine the statistics for the slew times
#for each night
obsdate=int(startdate)
slew_list=[]
while obsdate < int(enddate):
night_id=saltmysql.getnightinfoid(sdb, obsdate)
start,end=saltmysql.select(sdb,'EveningTwilightEnd,MorningTwilightStart','NightInfo', 'NightInfo_Id=%i' % night_id)[0]
tslew, nslew=slewtime(els, start, end)
if nslew>0:
print obsdate, night_id, start, end, nslew, tslew/nslew
slew_list.append([start, nslew, tslew])
obsdate=int(getnextdate(obsdate))
slew_arr=np.array(slew_list)
days=np.zeros(len(slew_arr))
for i in range(len(slew_arr)):
days[i]=(slew_arr[i,0]-slew_arr[0,0]).days
coef=np.polyfit(days, slew_arr[:,2]/slew_arr[:,1], 2)
ave_date=[]
ave_values=[]
ave_nslews=[]
nstep=10
for i in np.arange(15,len(slew_arr), 2*nstep):
ave_date.append(slew_arr[i,0])
i1=i-nstep
i2=min(i+nstep, len(slew_arr))
#ave_values.append(np.median(slew_arr[i1:i2,2]/slew_arr[i1:i2,1]))
ave_nslews.append(np.median(slew_arr[i1:i2,1]))
ave_values.append(np.median(slew_arr[i1:i2,2]))
print ave_date[-1], ave_values[-1], ave_nslews[-1]
ave_values=np.array(ave_values)
ave_nslews=np.array(ave_nslews)
mean_slew=ave_nslews.mean()
mean_slew=11
for i in range(len(ave_date)):
#value is an attempt to correct for the average number of slews
value=(ave_values[i]+30*(mean_slew-ave_nslews[i]))/mean_slew
print ave_date[i], '%i %i %i' % (ave_values[i]/ave_nslews[i], ave_nslews[i], value)
plt.figure()
plt.plot(slew_arr[:,0], slew_arr[:,2]/slew_arr[:,1], ls='', marker='o')
#plt.plot(slew_arr[:,0], slew_arr[:,1], ls='', marker='o')
#plt.plot(slew_arr[:,0], slew_arr[:,2], ls='', marker='o')
plt.plot(ave_date, ave_values/ave_nslews)
#plt.plot(days, np.polyval(coef, days))
plt.ylabel('Slew Time(s)')
plt.xlabel('Date')
plt.show()
