def makeObjectMap(files):
'''create a dictionary with keys of the objects, and
the values are lists of all the frames of that object
'''
result = defaultdict(list)
for frame in iter(files):
result[getObjectName(pyfits.getheader(frame))].append(frame)
return result
def makeObjectMap(files): '''create a dictionary with keys of the objects, and the values are lists of all the frames of that object ''' result = defaultdict(list) for frame in iter(files): result[getObjectName(pyfits.getheader(frame))].append(frame) return result
def parseHeader(self, header):
'''parse a FITS header, and if the image is an
object frame add the information to the summary
return true if an object, false otherwise'''
if fitsHeader.getFrameType(header) == 'object':
targetName = fitsHeader.getObjectName(header)
filterName = fitsHeader.getFilter(header)
self.addObservation(targetName, filterName)
return True
else:
return False
def parseHeader(self, header):
'''parse a FITS header, and if the image is an
object frame add the information to the summary
return true if an object, false otherwise'''
if fitsHeader.getFrameType(header) == 'object':
targetName = fitsHeader.getObjectName(header)
filterName = fitsHeader.getFilter(header)
self.addObservation(targetName, filterName)
return True
else:
return False
def recordObservation(fitsHeader,fname=''):
'''record the information contained in the header to the online database
and optionally the filename passed as fname'''
objName = getObjectName(fitsHeader)
obj = obsDB.obj_get_or_add(objName)
logger.info(obj)
objid = obj['obj_id']
ffilter = fitsHeader['FILTER']
exptime = fitsHeader['EXPTIME']
temp = fitsHeader['CCD-TEMP']
utdate = dateRegex.match(fitsHeader['DATE-OBS']).group(1)
obsDB.newObservation(objid,utdate,ffilter,exptime,temp,fname=os.path.realpath(fname))
return
