def update_status(name,status):
if not use_database():
return
if name is None:
# work it out
id=get_id(workdir=os.getcwd())
else:
id=name
with SurveysDB() as sdb:
idd=sdb.get_field(id)
if idd is None:
raise RuntimeError('Unable to find database entry for field "%s".' % id)
idd['vlow_reprocess']=status
sdb.set_field(idd)
print 'An estimate of the image noise is %.3f muJy/beam' % rms
drs=do_dr_checker(o['catprefix']+'.cat.fits',o['pbimage'],verbose=False,peak=0.4)
dr=np.median(drs)
print 'Median dynamic range is',dr
# fit source counts
if o['fit_sourcecounts']:
from fit_sourcecounts import do_fit_sourcecounts
sc_norm,sc_index,scale=do_fit_sourcecounts(rms=imagenoise)
else:
sc_norm=sc_index=scale=None
print rms,dr,catsources,first_ra,first_dec,tgss_scale,nvss_scale,sc_norm,sc_index,scale
if use_database():
id=get_id()
with SurveysDB() as sdb:
result=sdb.create_quality(id)
result['rms']=rms
result['dr']=dr
result['catsources']=catsources
result['first_ra']=first_ra
result['first_dec']=first_dec
result['tgss_scale']=tgss_scale
result['nvss_scale']=nvss_scale
result['sc_norm']=sc_norm
result['sc_index']=sc_index
result['scale']=scale
sdb.set_quality(result)
verbose=False,
peak=0.4)
dr = np.median(drs)
print 'Median dynamic range is', dr
# fit source counts
if o['fit_sourcecounts']:
from fit_sourcecounts import do_fit_sourcecounts
sc_norm, sc_index, scale = do_fit_sourcecounts(rms=imagenoise)
else:
sc_norm = sc_index = scale = None
print rms, dr, catsources, first_ra, first_dec, tgss_scale, nvss_scale, sc_norm, sc_index, scale
if use_database():
id = get_id()
with SurveysDB() as sdb:
result = sdb.create_quality(id)
result['rms'] = rms
result['dr'] = dr
result['catsources'] = catsources
result['first_ra'] = first_ra
result['first_dec'] = first_dec
result['tgss_scale'] = tgss_scale
result['nvss_scale'] = nvss_scale
result['sc_norm'] = sc_norm
result['sc_index'] = sc_index
result['scale'] = scale
sdb.set_quality(result)