def _compute_group_stats():
"""
Computes group statistics for the WMT16 evaluation campaign.
"""
group_stats = []
wmt16_group = Group.objects.filter(name='WMT16')
wmt16_users = _get_active_users_for_group(wmt16_group)
# Aggregate information about participating groups.
groups = set()
for user in wmt16_users:
for group in _identify_groups_for_user(user):
groups.add(group)
# TODO: move this to property of evaluation group or add dedicated data model.
# GOAL: should be configurable from within the Django admin backend.
#
# MINIMAL: move to local_settings.py?
#
# The following dictionary defines the number of HITs each group should
# have completed during the WMT16 evaluation campaign.
for group in groups:
_name = group.name
_group_stats = HIT.compute_status_for_group(group)
_total = _group_stats[0]
if _total > 0 and not _name in GROUP_HIT_REQUIREMENTS.keys():
_required = 0
elif _name in GROUP_HIT_REQUIREMENTS.keys():
_required = GROUP_HIT_REQUIREMENTS[_name]
_delta = _total - _required
_data = (_total, _required, _delta)
if _data[0] > 0:
group_stats.append((_name, _data))
# Sort by number of remaining HITs.
group_stats.sort(key=lambda x: x[1][2])
# Add totals at the bottom.
global_total = sum([x[1][0] for x in group_stats])
global_required = sum([x[1][1] for x in group_stats])
global_delta = global_total - global_required
global_data = (global_total, global_required, global_delta)
group_stats.append(("Totals", global_data))
return group_stats
def _compute_group_stats():
"""
Computes group statistics for the WMT16 evaluation campaign.
"""
group_stats = []
wmt16_group = Group.objects.filter(name='WMT16')
wmt16_users = _get_active_users_for_group(wmt16_group)
# Aggregate information about participating groups.
groups = set()
for user in wmt16_users:
for group in _identify_groups_for_user(user):
groups.add(group)
# TODO: move this to property of evaluation group or add dedicated data model.
# GOAL: should be configurable from within the Django admin backend.
#
# MINIMAL: move to local_settings.py?
#
# The following dictionary defines the number of HITs each group should
# have completed during the WMT16 evaluation campaign.
for group in groups:
_name = group.name
_group_stats = HIT.compute_status_for_group(group)
_total = _group_stats[0]
if _total > 0 and not _name in GROUP_HIT_REQUIREMENTS.keys():
_required = 0
elif _name in GROUP_HIT_REQUIREMENTS.keys():
_required = GROUP_HIT_REQUIREMENTS[_name]
_delta = _total - _required
_data = (_total, _required, _delta)
if _data[0] > 0:
group_stats.append((_name, _data))
# Sort by number of remaining HITs.
group_stats.sort(key=lambda x: x[1][2])
# Add totals at the bottom.
global_total = sum([x[1][0] for x in group_stats])
global_required = sum([x[1][1] for x in group_stats])
global_delta = global_total - global_required
global_data = (global_total, global_required, global_delta)
group_stats.append(("Totals", global_data))
return group_stats
def overview(request):
"""
Renders the evaluation tasks overview.
"""
LOGGER.info('Rendering WMT16 HIT overview for user "{0}".'.format(
request.user.username or "Anonymous"))
# Re-initialise random number generator.
seed(None)
# Collect available language pairs for the current user.
language_codes = set([x[0] for x in LANGUAGE_PAIR_CHOICES])
language_pairs = request.user.groups.filter(name__in=language_codes)
# Collect available annotation projects for the current user.
annotation_projects = request.user.project_set.all()
hit_data = []
total = [0, 0, 0]
for language_pair in language_pairs:
for annotation_project in annotation_projects:
hit = _compute_next_task_for_user(request.user, annotation_project, language_pair)
user_status = HIT.compute_status_for_user(request.user, annotation_project, language_pair)
for i in range(3):
total[i] = total[i] + user_status[i]
if hit:
# Convert status seconds back into datetime.time instances.
for i in range(2):
user_status[i+1] = seconds_to_timedelta(int(user_status[i+1]))
hit_data.append(
(hit.get_language_pair_display(), hit.get_absolute_url(),
hit.hit_id, user_status, annotation_project)
)
# Convert total seconds back into datetime.timedelta instances.
total[1] = seconds_to_timedelta(int(total[2]) / float(int(total[0]) or 1))
# Remove microseconds to get a nicer timedelta rendering in templates.
total[1] = total[1] - timedelta(microseconds=total[1].microseconds)
total[2] = seconds_to_timedelta(int(total[2]))
groups = _identify_groups_for_user(request.user)
group = None
if len(groups) > 1:
LOGGER.debug(u'User "{0}" assigned to multiple annotation groups: {1}'.format(
request.user.username or u'Anonymous',
u', '.join([x.name for x in groups]))
)
group = groups[0]
if group is not None:
group_name = group.name
group_status = HIT.compute_status_for_group(group)
for i in range(2):
group_status[i+1] = seconds_to_timedelta(int(group_status[i+1]))
else:
group_status = None
group_name = None
LOGGER.debug(u'\n\nHIT data for user "{0}":\n\n{1}\n'.format(
request.user.username or "Anonymous",
u'\n'.join([u'{0}\t{1}\t{2}\t{3}'.format(*x) for x in hit_data])))
# Compute admin URL for super users.
admin_url = None
if request.user.is_superuser:
admin_url = reverse('admin:index')
dictionary = {
'active_page': "OVERVIEW",
'hit_data': hit_data,
'total': total,
'group_name': group_name,
'group_status': group_status,
'admin_url': admin_url,
'title': 'WMT16 Dashboard',
'annotation_groups': [x.name for x in groups],
}
dictionary.update(BASE_CONTEXT)
LOGGER.info(dictionary.values())
return render(request, 'wmt16/overview.html', dictionary)
def overview(request):
"""
Renders the evaluation tasks overview.
"""
LOGGER.info('Rendering WMT16 HIT overview for user "{0}".'.format(
request.user.username or "Anonymous"))
# Re-initialise random number generator.
seed(None)
# Collect available language pairs for the current user.
language_codes = set([x[0] for x in LANGUAGE_PAIR_CHOICES])
language_pairs = request.user.groups.filter(name__in=language_codes)
# Collect available annotation projects for the current user.
annotation_projects = request.user.project_set.all()
hit_data = []
total = [0, 0, 0]
for language_pair in language_pairs:
for annotation_project in annotation_projects:
hit = _compute_next_task_for_user(request.user, annotation_project,
language_pair)
user_status = HIT.compute_status_for_user(request.user,
annotation_project,
language_pair)
for i in range(3):
total[i] = total[i] + user_status[i]
if hit:
# Convert status seconds back into datetime.time instances.
for i in range(2):
user_status[i + 1] = seconds_to_timedelta(
int(user_status[i + 1]))
hit_data.append(
(hit.get_language_pair_display(), hit.get_absolute_url(),
hit.hit_id, user_status, annotation_project))
# Convert total seconds back into datetime.timedelta instances.
total[1] = seconds_to_timedelta(int(total[2]) / float(int(total[0]) or 1))
# Remove microseconds to get a nicer timedelta rendering in templates.
total[1] = total[1] - timedelta(microseconds=total[1].microseconds)
total[2] = seconds_to_timedelta(int(total[2]))
groups = _identify_groups_for_user(request.user)
group = None
if len(groups) > 1:
LOGGER.debug(
u'User "{0}" assigned to multiple annotation groups: {1}'.format(
request.user.username or u'Anonymous',
u', '.join([x.name for x in groups])))
group = groups[0]
if group is not None:
group_name = group.name
group_status = HIT.compute_status_for_group(group)
for i in range(2):
group_status[i + 1] = seconds_to_timedelta(int(group_status[i +
1]))
else:
group_status = None
group_name = None
LOGGER.debug(u'\n\nHIT data for user "{0}":\n\n{1}\n'.format(
request.user.username or "Anonymous",
u'\n'.join([u'{0}\t{1}\t{2}\t{3}'.format(*x) for x in hit_data])))
# Compute admin URL for super users.
admin_url = None
if request.user.is_superuser:
admin_url = reverse('admin:index')
dictionary = {
'active_page': "OVERVIEW",
'hit_data': hit_data,
'total': total,
'group_name': group_name,
'group_status': group_status,
'admin_url': admin_url,
'title': 'WMT16 Dashboard',
'annotation_groups': [x.name for x in groups],
}
dictionary.update(BASE_CONTEXT)
LOGGER.info(dictionary.values())
return render(request, 'wmt16/overview.html', dictionary)
def _compute_group_stats():
"""
Computes group statistics for the wmt16 evaluation campaign.
"""
group_stats = []
wmt16_group = Group.objects.filter(name='wmt16')
wmt16_users = []
if wmt16_group.exists():
wmt16_users = wmt16_group[0].user_set.all()
# Aggregate information about participating groups.
groups = set()
for user in wmt16_users:
for group in user.groups.all():
if group.name == 'wmt16' or group.name.startswith('eng2') \
or group.name.endswith('2eng'):
continue
groups.add(group)
# TODO: move this to property of evaluation group or add dedicated data model.
# GOAL: should be configurable from within the Django admin backend.
#
# MINIMAL: move to local_settings.py?
#
# The following dictionary defines the number of HITs each group should
# have completed during the wmt16 evaluation campaign.
group_hit_requirements = {
# volunteers
'MSR': 0,
'MTMA': 0,
# participants, confirmed
'Aalto': 100,
'Abu-Matran': 300,
'AFRL-MITLL': 400,
'AMU-UEDIN': 200,
'CMU': 100,
'CUNI': 500,
'JHU': 1600,
'KIT': 300,
'KIT-LIMSI': 100,
'LIMSI': 300,
'LMU-CUNI': 100,
'METAMIND': 100,
'TBTK': 200,
'Cambridge': 100,
'NRC': 100,
'NYU-Umontreal': 400,
'PJATK': 200,
'PROMT': 500,
'QT21': 100,
'RWTH': 100,
'UEdin': 1900,
'UH': 400,
'USFD': 100,
'UUT': 100,
'YSDA': 200,
}
for group in groups:
_name = group.name
if not _name in group_hit_requirements.keys():
continue
_group_stats = HIT.compute_status_for_group(group)
_total = _group_stats[0]
_required = group_hit_requirements[_name]
_delta = _total - _required
_data = (_total, _required, _delta)
if _data[0] > 0:
group_stats.append((_name, _data))
# Sort by number of remaining HITs.
group_stats.sort(key=lambda x: x[1][2])
# Add totals at the bottom.
global_total = sum([x[1][0] for x in group_stats])
global_required = sum([x[1][1] for x in group_stats])
global_delta = global_total - global_required
global_data = (global_total, global_required, global_delta)
group_stats.append(("Totals", global_data))
return group_stats
