def skymorph_fast_image():
ret = skymorph.get_fast_image(request.args.get('key'))
if type(ret) == dict:
return jsonify(ret)
else:
response = make_response(ret)
response.headers['Content-type'] = 'image/png'
return response
def process(asteroid):
target = asteroid['prov_des']
if target.strip() == '':
target = asteroid['name']
if target.strip() == '':
target = asteroid['full_name']
if target.strip() == '':
return
print 'crawl', target
#skymorph.images_for(prov_des)
results = skymorph.search_target(target)
groups = []
last_group = []
last_time = None
for result in results:
time = datetime.strptime(result['time'], '%Y-%m-%d %H:%M:%S')
if last_time:
tdelta = time - last_time if time > last_time else last_time - time
if tdelta.total_seconds() / 60 > 45:
# not within 45 minutes of each other
groups.append(last_group)
last_group = []
else:
last_group.append(result)
last_time = time
groups_final_datastructure = []
gcount = 1
for group in groups:
threads = []
group_results = []
rcount = 1
if len(group) < 2:
continue
for result in group:
center_ra = skymorph.hms_str_to_float(result['center_ra'])
center_dec = skymorph.dms_str_to_float(result['center_dec'])
new_group_result = {
'key': result['key'],
'time': result['time'],
'pos_x': 0,
'pos_y': 0,
# this will bite me in the ass because these are floats now,
# but there are some cached responses in which these fields are strs
'center_ra': center_ra,
'center_dec': center_dec,
}
print 'Fetching img %d of %d (group %d/%d)' % (rcount, len(group), gcount, len(groups))
png_data = skymorph.get_fast_image(result['key'])
if not png_data or type(png_data) == dict or \
not astrometry.process(png_data, center_ra, center_dec, \
result['key'], key_prefix='fast_image_'):
# couldn't solve this star field
continue
group_results.append(new_group_result)
rcount += 1
gcount +=1
if len(group_results) > 1:
# extract from wcs instead of using center ra and dec from skymorph because it
# is more accurate, necessary for lining up.
ref_ra, ref_dec = astrometry.get_center_ra_dec(group_results[0]['key'])
#ref_ra = group_results[0]['center_ra']
#ref_dec = group_results[0]['center_dec']
for result in group_results:
offset = astrometry.get_pixel_offset(result['key'], group_results[0]['key'], \
ref_ra, ref_dec)
if not offset:
print '\033[91m!! ERROR: skipping image for', target, \
'because it has not had its astrometry processed.\033[0m', result['key']
continue
result['offset_x'] = offset[0]
result['offset_y'] = offset[1]
print 'Offsets:', offset
groups_final_datastructure.append({
'score': 0,
'interesting': 0,
'not_interesting': 0,
'images': group_results,
'reviews': [],
'target': target,
'known_target': True,
})
#for thread in threads:
# thread.join()
return groups_final_datastructure # a list of groups
