def prepare_constellation(self, obj):
constellation = ImageService.get_constellation(obj.solution)
# Escape with __ because And (Andromeda) is not searchable, due to it being the same word as the AND operator.
return "__%s__" % constellation.get(
'abbreviation') if constellation else None
def get_context_data(self, **kwargs):
context = super(ImageDetailView, self).get_context_data(**kwargs)
image = context['object']
r = self.kwargs.get('r')
if r is None:
r = '0'
revision_image = None
instance_to_platesolve = image
is_revision = False
if r != '0':
try:
revision_image = ImageRevision.objects.filter(image=image,
label=r)[0]
instance_to_platesolve = revision_image
is_revision = True
except:
pass
#############################
# GENERATE ACQUISITION DATA #
#############################
from astrobin.moon import MoonPhase
gear_list = (
(_('Imaging telescopes or lenses'), image.imaging_telescopes.all(),
'imaging_telescopes'),
(_('Imaging cameras'), image.imaging_cameras.all(),
'imaging_cameras'),
(_('Mounts'), image.mounts.all(), 'mounts'),
(_('Guiding telescopes or lenses'), image.guiding_telescopes.all(),
'guiding_telescopes'),
(_('Guiding cameras'), image.guiding_cameras.all(),
'guiding_cameras'),
(_('Focal reducers'), image.focal_reducers.all(),
'focal_reducers'),
(_('Software'), image.software.all(), 'software'),
(_('Filters'), image.filters.all(), 'filters'),
(_('Accessory'), image.accessories.all(), 'accessories'),
)
makes_list = ','.join(
filter(
None,
reduce(lambda x, y: x + y, [
list(x.values_list('make', flat=True))
for x in [y[1] for y in gear_list]
])))
deep_sky_acquisitions = DeepSky_Acquisition.objects.filter(image=image)
ssa = None
image_type = None
deep_sky_data = {}
if is_revision:
w, h = get_image_resolution(revision_image)
else:
w, h = get_image_resolution(image)
try:
ssa = SolarSystem_Acquisition.objects.get(image=image)
except SolarSystem_Acquisition.DoesNotExist:
pass
if deep_sky_acquisitions:
image_type = 'deep_sky'
moon_age_list = []
moon_illuminated_list = []
dsa_data = {
'dates': [],
'frames': {},
'integration': 0,
'darks': [],
'flats': [],
'flat_darks': [],
'bias': [],
'bortle': [],
'mean_sqm': [],
'mean_fwhm': [],
'temperature': [],
}
for a in deep_sky_acquisitions:
if a.date is not None and a.date not in dsa_data['dates']:
dsa_data['dates'].append(a.date)
m = MoonPhase(a.date)
moon_age_list.append(m.age)
moon_illuminated_list.append(m.illuminated * 100.0)
if a.number and a.duration:
key = ""
if a.filter is not None:
key = "filter(%s)" % a.filter.get_name()
if a.iso is not None:
key += '-ISO(%d)' % a.iso
if a.gain is not None:
key += '-gain(%.2f)' % a.gain
if a.sensor_cooling is not None:
key += '-temp(%d)' % a.sensor_cooling
if a.binning is not None:
key += '-bin(%d)' % a.binning
key += '-duration(%d)' % a.duration
try:
current_frames = dsa_data['frames'][key]['integration']
except KeyError:
current_frames = '0x0"'
integration_re = re.match(r'^(\d+)x(\d+)"', current_frames)
current_number = int(integration_re.group(1))
dsa_data['frames'][key] = {}
dsa_data['frames'][key][
'filter_url'] = a.filter.get_absolute_url(
) if a.filter is not None else '#'
dsa_data['frames'][key][
'filter'] = a.filter if a.filter is not None else ''
dsa_data['frames'][key][
'iso'] = 'ISO%d' % a.iso if a.iso is not None else ''
dsa_data['frames'][key][
'gain'] = '(gain: %.2f)' % a.gain if a.gain is not None else ''
dsa_data['frames'][key][
'sensor_cooling'] = '%dC' % a.sensor_cooling if a.sensor_cooling is not None else ''
dsa_data['frames'][key]['binning'] = 'bin %sx%s' % (
a.binning, a.binning) if a.binning else ''
dsa_data['frames'][key]['integration'] = \
'%sx%s" <span class="total-frame-integration">(%s)</span>' % (
current_number + a.number,
a.duration,
DateTimeService.human_time_duration(a.number * a.duration)
)
dsa_data['integration'] += a.duration * a.number
for i in ['darks', 'flats', 'flat_darks', 'bias']:
if a.filter and getattr(a, i):
dsa_data[i].append("%d" % getattr(a, i))
elif getattr(a, i):
dsa_data[i].append(getattr(a, i))
if a.bortle:
dsa_data['bortle'].append(a.bortle)
if a.mean_sqm:
dsa_data['mean_sqm'].append(a.mean_sqm)
if a.mean_fwhm:
dsa_data['mean_fwhm'].append(a.mean_fwhm)
if a.temperature:
dsa_data['temperature'].append(a.temperature)
def average(values):
if not len(values):
return 0
return float(sum(values)) / len(values)
frames_list = sorted(dsa_data['frames'].items())
deep_sky_data = (
(_('Dates'), sorted(dsa_data['dates'])),
(_('Frames'), ('\n' if len(frames_list) > 1 else '') +
u'\n'.join("%s %s" % (
"<a href=\"%s\">%s</a>:" %
(f[1]['filter_url'],
f[1]['filter']) if f[1]['filter'] else '',
"%s %s %s %s %s" %
(f[1]['integration'], f[1]['iso'], f[1]['gain'],
f[1]['sensor_cooling'], f[1]['binning']),
) for f in frames_list)),
(_('Integration'),
DateTimeService.human_time_duration(dsa_data['integration'])),
(_('Darks'), '~%d' %
(int(reduce(lambda x, y: int(x) + int(y), dsa_data['darks']))
/ len(dsa_data['darks'])) if dsa_data['darks'] else 0),
(_('Flats'), '~%d' %
(int(reduce(lambda x, y: int(x) + int(y), dsa_data['flats']))
/ len(dsa_data['flats'])) if dsa_data['flats'] else 0),
(_('Flat darks'), '~%d' % (int(
reduce(lambda x, y: int(x) + int(y),
dsa_data['flat_darks'])) /
len(dsa_data['flat_darks']))
if dsa_data['flat_darks'] else 0),
(_('Bias'), '~%d' %
(int(reduce(lambda x, y: int(x) + int(y), dsa_data['bias'])) /
len(dsa_data['bias'])) if dsa_data['bias'] else 0),
(_('Avg. Moon age'), ("%.2f " % (average(moon_age_list), ) +
_("days")) if moon_age_list else None),
(_('Avg. Moon phase'),
"%.2f%%" % (average(moon_illuminated_list), )
if moon_illuminated_list else None),
(_('Bortle Dark-Sky Scale'),
"%.2f" % (average([float(x) for x in dsa_data['bortle']]))
if dsa_data['bortle'] else None),
(_('Mean SQM'),
"%.2f" % (average([float(x) for x in dsa_data['mean_sqm']]))
if dsa_data['mean_sqm'] else None),
(_('Mean FWHM'),
"%.2f" % (average([float(x) for x in dsa_data['mean_fwhm']]))
if dsa_data['mean_fwhm'] else None),
(_('Temperature'),
"%.2f" % (average([float(x)
for x in dsa_data['temperature']]))
if dsa_data['temperature'] else None),
)
elif ssa:
image_type = 'solar_system'
profile = None
if self.request.user.is_authenticated():
profile = self.request.user.userprofile
##############
# BASIC DATA #
##############
alias = 'regular' if not image.sharpen_thumbnails else 'regular_sharpened'
mod = self.request.GET.get('mod')
if mod == 'inverted':
alias = 'regular_inverted'
subjects = []
skyplot_zoom1 = None
if image.solution:
subjects = SolutionService(image.solution).get_objects_in_field()
skyplot_zoom1 = image.solution.skyplot_zoom1
if is_revision and revision_image.solution:
subjects = SolutionService(
revision_image.solution).get_objects_in_field()
if revision_image.solution.skyplot_zoom1:
skyplot_zoom1 = revision_image.solution.skyplot_zoom1
locations = '; '.join([u'%s' % (x) for x in image.locations.all()])
#######################
# PREFERRED LANGUAGES #
#######################
user_language = image.user.userprofile.language
if user_language:
try:
user_language = LANGUAGES[user_language]
except KeyError:
user_language = _("English")
else:
user_language = _("English")
preferred_languages = [unicode(user_language)]
if image.user.userprofile.other_languages:
for language in image.user.userprofile.other_languages.split(','):
language_label = [
x for x in settings.ALL_LANGUAGE_CHOICES
if x[0] == language
][0][1]
if language_label != user_language:
preferred_languages.append(unicode(language_label))
preferred_languages = ', '.join(preferred_languages)
##########################
# LIKE / BOOKMARKED THIS #
##########################
like_this = image.toggleproperties.filter(property_type="like")
bookmarked_this = image.toggleproperties.filter(
property_type="bookmark")
##############
# NAVIGATION #
##############
image_next = None
image_prev = None
nav_ctx = self.request.GET.get('nc')
if nav_ctx is None:
nav_ctx = self.request.session.get('nav_ctx')
if nav_ctx is None:
nav_ctx = 'user'
nav_ctx_extra = self.request.GET.get('nce')
if nav_ctx_extra is None:
nav_ctx_extra = self.request.session.get('nav_ctx_extra')
if not image.is_wip and image.published is not None:
try:
# Always only lookup public, non corrupted images!
if nav_ctx == 'user':
image_next = Image.objects \
.exclude(corrupted=True) \
.filter(user=image.user, published__isnull=False, published__gt=image.published) \
.order_by('published')[0:1]
image_prev = Image.objects \
.exclude(corrupted=True) \
.filter(user=image.user, published__isnull=False, published__lt=image.published) \
.order_by('-published')[0:1]
elif nav_ctx == 'collection':
try:
try:
collection = image.collections.get(
pk=nav_ctx_extra)
except ValueError:
# Maybe this image is in a single collection
collection = image.collections.all()[0]
if collection.order_by_tag:
collection_images = Image.objects \
.exclude(corrupted=True) \
.filter(user=image.user,
collections=collection,
keyvaluetags__key=collection.order_by_tag) \
.order_by('keyvaluetags__value')
current_index = 0
for iter_image in collection_images.all():
if iter_image.pk == image.pk:
break
current_index += 1
image_next = collection_images.all()[current_index + 1] \
if current_index < collection_images.count() - 1 \
else None
image_prev = collection_images.all()[current_index - 1] \
if current_index > 0 \
else None
else:
image_next = Image.objects \
.exclude(corrupted=True) \
.filter(user=image.user, collections=collection,
published__gt=image.published).order_by('published')[0:1]
image_prev = Image.objects \
.exclude(corrupted=True) \
.filter(user=image.user, collections=collection,
published__lt=image.published).order_by('-published')[0:1]
except Collection.DoesNotExist:
# image_prev and image_next will remain None
pass
elif nav_ctx == 'group':
try:
group = image.part_of_group_set.get(pk=nav_ctx_extra)
if group.public:
image_next = Image.objects \
.exclude(corrupted=True) \
.filter(part_of_group_set=group,
published__isnull=False,
published__gt=image.published) \
.order_by('published')[0:1]
image_prev = Image.objects \
.exclude(corrupted=True) \
.filter(part_of_group_set=group,
published__isnull=False,
published__lt=image.published) \
.order_by('-published')[0:1]
except (Group.DoesNotExist, ValueError):
# image_prev and image_next will remain None
pass
elif nav_ctx == 'all':
image_next = Image.objects \
.exclude(corrupted=True) \
.filter(published__isnull=False, published__gt=image.published) \
.order_by('published')[0:1]
image_prev = Image.objects \
.exclude(corrupted=True) \
.filter(published__isnull=False, published__lt=image.published) \
.order_by('-published')[0:1]
except Image.DoesNotExist:
image_next = None
image_prev = None
if image_next and isinstance(image_next, QuerySet):
image_next = image_next[0]
if image_prev and isinstance(image_prev, QuerySet):
image_prev = image_prev[0]
#################
# RESPONSE DICT #
#################
from astrobin_apps_platesolving.solver import Solver
if skyplot_zoom1 and not skyplot_zoom1.name.startswith('images/'):
skyplot_zoom1.name = 'images/' + skyplot_zoom1.name
response_dict = context.copy()
response_dict.update({
'SHARE_PATH': settings.SHORT_BASE_URL,
'alias': alias,
'mod': mod,
'revisions': ImageService(image) \
.get_revisions(include_corrupted=self.request.user == image.user) \
.select_related('image__user__userprofile'),
'revisions_with_description': ImageService(image) \
.get_revisions_with_description(include_corrupted=self.request.user == image.user) \
.select_related('image__user__userprofile'),
'is_revision': is_revision,
'revision_image': revision_image,
'revision_label': r,
'instance_to_platesolve': instance_to_platesolve,
'show_solution': instance_to_platesolve.mouse_hover_image == MouseHoverImage.SOLUTION
and instance_to_platesolve.solution
and instance_to_platesolve.solution.status >= Solver.SUCCESS,
'show_advanced_solution': instance_to_platesolve.mouse_hover_image == MouseHoverImage.SOLUTION
and instance_to_platesolve.solution
and instance_to_platesolve.solution.status == Solver.ADVANCED_SUCCESS,
'skyplot_zoom1': skyplot_zoom1,
'image_ct': ContentType.objects.get_for_model(Image),
'like_this': like_this,
'user_can_like': can_like(self.request.user, image),
'bookmarked_this': bookmarked_this,
'comments_number': NestedComment.objects.filter(
deleted=False,
content_type__app_label='astrobin',
content_type__model='image',
object_id=image.id).count(),
'gear_list': gear_list,
'makes_list': makes_list,
'image_type': image_type,
'ssa': ssa,
'deep_sky_data': deep_sky_data,
'private_message_form': PrivateMessageForm(),
'promote_form': ImagePromoteForm(instance=image),
'upload_revision_form': ImageRevisionUploadForm(),
'upload_uncompressed_source_form': UncompressedSourceUploadForm(instance=image),
'dates_label': _("Dates"),
'show_contains': (image.subject_type == SubjectType.DEEP_SKY and subjects) or
(image.subject_type != SubjectType.DEEP_SKY),
'subjects': subjects,
'subject_type': ImageService(image).get_subject_type_label(),
'hemisphere': ImageService(image).get_hemisphere(r),
'constellation': ImageService.get_constellation(revision_image.solution) \
if revision_image \
else ImageService.get_constellation(image.solution),
'resolution': '%dx%d' % (w, h) if (w and h) else None,
'locations': locations,
'solar_system_main_subject': ImageService(image).get_solar_system_main_subject_label(),
'content_type': ContentType.objects.get(app_label='astrobin', model='image'),
'preferred_languages': preferred_languages,
'select_group_form': GroupSelectForm(
user=self.request.user) if self.request.user.is_authenticated() else None,
'in_public_groups': Group.objects.filter(Q(public=True, images=image)),
'image_next': image_next,
'image_prev': image_prev,
'nav_ctx': nav_ctx,
'nav_ctx_extra': nav_ctx_extra,
'w': w,
'h': h,
'image_uses_full_width': w >= 940 and w / float(h) > 1,
})
return response_dict
