def doTask(imageheaders):
#Create image cut-outs
for hdr in imageheaders:
fname = '%s.png' % uuid.uuid4()
hdr.fname = fname #This attribute links the filename to the <img src=''> tag
if async:
t = tasks.makeImage.delay(hdr,fname,clipSize,ra,dec,units=units)
hdr.jobid = t.id
else:
tasks.makeImage(hdr,fname,clipSize,ra,dec,units=units)
def get(self, request, *args, **kwargs):
if 'OB' in kwargs:
results = ImageHeader.objects.filter(TARGETID=kwargs['targetID'],OB=kwargs['OB'])
if not results:
return Http404
results = sorted(results, key = lambda k: constants.band_sequence[k.FILTER])
photo_objs = []
for i in results:
if i.FILTER in constants.optical:
photo_objs.extend(Photometry.objects.filter(imageheader=i,BAND=i.FILTER))
calib_schemes = [j.CALIB_SCHEME for j in photo_objs]
griz_calib_scheme = calib_schemes[0] if len(set(calib_schemes)) == 1 else 'mixed'
hashtable = {
'SEEING': lambda i: round(i.imageproperties.SEEING,2),
'LIMITING_MAG_3S_ZP': lambda i: round(i.imageproperties.LIMITING_MAG_3S_ZP,1),
'LIMITING_MAG_3S_CALIB': lambda i: round(i.imageproperties.LIMITING_MAG_3S_CALIB,1),
'ASTROMETRY_ACCURACY_RA': lambda i: round(i.imageproperties.ASTROMETRY_ACCURACY_RA,2),
'ASTROMETRY_ACCURACY_DEC': lambda i: round(i.imageproperties.ASTROMETRY_ACCURACY_DEC,2),
'APP_SIZE': lambda i: round(i.imageproperties.APP_SIZE,1),
'MEAN_AIRMASS': lambda i: round(i.imageproperties.MEAN_AIRMASS,2),
'date': lambda i: i.DATE_OBS.split('T')[0],
'time': lambda i: i.DATE_OBS.split('T')[1][:-4],
'OBTYPEID': lambda i: i.OBTYPEID,
'fname': lambda i: tasks.makeImage(i,'%s.png' % uuid.uuid4(),None,None,None).fname,
}
data = {}
for ih in results:
data[ih.FILTER] = dict([(k,hashtable[k](ih)) for k in hashtable])
data[ih.FILTER].update({'griz_calib_scheme':griz_calib_scheme})
context = {'ob_data':json.dumps(data),'targetID':kwargs['targetID'],'OB':kwargs['OB'],'RA':'%0.4f' % ih.RA,'DEC':'%0.4f' % ih.DEC}
else:
results = ImageHeader.objects.filter(TARGETID=kwargs['targetID'])
if not results:
return Http404
hashtable = {
'date':lambda i: i.DATE_OBS.split('T')[0],
'time': lambda i: i.DATE_OBS.split('T')[1][:-4],
'obtype': lambda i: i.OBTYPEID,
'n_bands': lambda i: len(ImageHeader.objects.filter(TARGETID=i.TARGETID,OB=i.OB)),
'mjd': lambda i: i.MJD_OBS,
'filename': lambda i: i.PATH,
}
#unique_observations = set([(i.TARGETID,i.OB) for i in results])
data = {}
for ih in results:
if "%s %s" % (ih.TARGETID,ih.OB) not in data:
data["%s %s" % (ih.TARGETID,ih.OB)] = dict([(k,hashtable[k](ih)) for k in hashtable])
context = {'field_data':json.dumps(data),'targetID':kwargs['targetID']}
return render(request,self.template_name,context)