def guidertable(els, mintime, maxtime):
"""Extract the guider data from the els"""
#extract the guider data from the els
sel_cmd='_timestamp_, guidance_available, ee50, mag50'
tab_cmd='tpc_guidance_status__timestamp '
log_cmd="_timestamp_>'%s' and _timestamp_<'%s'" % (mintime, maxtime)
gui_rec=saltmysql.select(els, sel_cmd, tab_cmd, log_cmd)
if len(gui_rec)<2: return None
gtime_list=[]
ee50_arr=np.zeros(len(gui_rec))
mag50_arr=np.zeros(len(gui_rec))
avail_list=[]
for i in range(len(gui_rec)):
gtime_list.append(gui_rec[i][0])
ee50_arr[i]=gui_rec[i][2]
mag50_arr[i]=gui_rec[i][3]
avail_list.append(gui_rec[i][1])
avail_arr=(np.array(avail_list)=='T')
#write the results to a fits table
guicol=[]
guicol.append(pyfits.Column(name='Timestamp', format='20A', array=gtime_list))
guicol.append(pyfits.Column(name='Available', format='L', array=avail_arr ))
guicol.append(pyfits.Column(name='EE50', format='F', array=ee50_arr ))
guicol.append(pyfits.Column(name='mag50', format='F', array=mag50_arr ))
guitab= saltio.fitscolumns(guicol)
guihdu= pyfits.new_table(guitab)
guihdu.name='Guider'
return guihdu
def seeingtable(sdb, mintime, maxtime):
#extract the seeing data from the sdb
sel_cmd='DateTime, Mass, Dimm'
tab_cmd='MassDimm'
log_cmd="DateTime>'%s' and DateTime<'%s'" % (mintime, maxtime)
see_rec=saltmysql.select(sdb, sel_cmd, tab_cmd, log_cmd)
if len(see_rec)<2: return None
stime_list=[]
mass_arr=np.zeros(len(see_rec))
dimm_arr=np.zeros(len(see_rec))
for i in range(len(see_rec)):
stime_list.append(see_rec[i][0])
mass_arr[i]=see_rec[i][1]
dimm_arr[i]=see_rec[i][2]
seecol=[]
seecol.append(pyfits.Column(name='Timestamp', format='20A', array=stime_list))
seecol.append(pyfits.Column(name='MASS', format='F', array=mass_arr ))
seecol.append(pyfits.Column(name='DIMM', format='F', array=dimm_arr ))
seetab= saltio.fitscolumns(seecol)
seehdu= pyfits.new_table(seetab)
seehdu.name='Seeing'
return seehdu
def createobslogfits(headerDict):
"""Create the fits table for the observation log"""
# define generic columns of output table
col=[]
for k, f in zip(headerList, formatList):
print k,f, headerDict[k]
col.append(pyfits.Column(name=k, format=f, array=headerDict[k]))
for k, f in zip(scamheaderList, scamformatList):
print k,f, headerDict[k]
col.append(pyfits.Column(name=k, format=f, array=headerDict[k]))
for k, f in zip(rssheaderList, rssformatList):
print k,f, headerDict[k]
col.append(pyfits.Column(name=k, format=f, array=headerDict[k]))
# construct FITS table from columns
table = saltio.fitscolumns(col)
# write FITS table to output file
struct=saltio.newfitstable(table)
# name the table extension
saltkey.new('EXTNAME','OBSLOG','extension name', struct)
# housekeeping keywords
saltkey.put('SAL-TLM',time.asctime(time.localtime()), struct)
return struct
def weathertable(els, mintime, maxtime):
"""Creates the weather table from the data in the els
"""
#now extact weather information from the els
sel_cmd='_timestamp_, air_pressure, dewpoint, rel_humidity, wind_mag_30m, wind_dir_30m, wind_mag_10m, wind_dir_10m, temperatures, rain_detected'
tab_cmd='bms_external_conditions__timestamp'
log_cmd="_timestamp_>'%s' and _timestamp_<'%s'" % (mintime, maxtime)
wea_rec=saltmysql.select(els, sel_cmd, tab_cmd, log_cmd)
if len(wea_rec)<2: return None
time_list=[]
air_arr=np.zeros(len(wea_rec))
dew_arr=np.zeros(len(wea_rec))
hum_arr=np.zeros(len(wea_rec))
w30_arr=np.zeros(len(wea_rec))
w30d_arr=np.zeros(len(wea_rec))
w10_arr=np.zeros(len(wea_rec))
w10d_arr=np.zeros(len(wea_rec))
t02_arr=np.zeros(len(wea_rec))
t05_arr=np.zeros(len(wea_rec))
t10_arr=np.zeros(len(wea_rec))
t15_arr=np.zeros(len(wea_rec))
t20_arr=np.zeros(len(wea_rec))
t25_arr=np.zeros(len(wea_rec))
t30_arr=np.zeros(len(wea_rec))
for i in range(len(wea_rec)):
time_list.append(str(wea_rec[i][0]))
air_arr[i]=wea_rec[i][1]
dew_arr[i]=wea_rec[i][2]
hum_arr[i]=wea_rec[i][3]
w30_arr[i]=wea_rec[i][4]
w30d_arr[i]=wea_rec[i][5]
w10_arr[i]=wea_rec[i][6]
w10d_arr[i]=wea_rec[i][7]
t_arr=converttemperature(wea_rec[i][8])
t02_arr[i]=t_arr[0]
t05_arr[i]=t_arr[1]
t10_arr[i]=t_arr[2]
t15_arr[i]=t_arr[3]
t20_arr[i]=t_arr[4]
t25_arr[i]=t_arr[5]
t30_arr[i]=t_arr[6]
weacol=[]
weacol.append(pyfits.Column(name='TimeStamp', format='20A', array=time_list ))
weacol.append(pyfits.Column(name='Air Pressure', format='F', array=air_arr ))
weacol.append(pyfits.Column(name='Dew Point', format='F', array=dew_arr ))
weacol.append(pyfits.Column(name='Humidy', format='F', array=hum_arr ))
weacol.append(pyfits.Column(name='Wind 30m', format='F', array=w30_arr ))
weacol.append(pyfits.Column(name='Wind 30m Direction', format='F', array=w30d_arr ))
weacol.append(pyfits.Column(name='Wind 10m', format='F', array=w10_arr ))
weacol.append(pyfits.Column(name='Wind 10m Direction', format='F', array=w10d_arr ))
weacol.append(pyfits.Column(name='Temperature 2m', format='F', array=t02_arr ))
weacol.append(pyfits.Column(name='Temperature 5m', format='F', array=t05_arr ))
weacol.append(pyfits.Column(name='Temperature 10m', format='F', array=t10_arr ))
weacol.append(pyfits.Column(name='Temperature 15m', format='F', array=t15_arr ))
weacol.append(pyfits.Column(name='Temperature 20m', format='F', array=t20_arr ))
weacol.append(pyfits.Column(name='Temperature 25m', format='F', array=t25_arr ))
weacol.append(pyfits.Column(name='Temperature 30m', format='F', array=t30_arr ))
weatab= saltio.fitscolumns(weacol)
weahdu = pyfits.new_table(weatab)
weahdu.name='Weather'
return weahdu
