def _compute_user_stats():
"""
Computes user statistics for the WMT15 evaluation campaign.
"""
user_stats = []
wmt15_group = Group.objects.filter(name='WMT15')
wmt15_users = []
if wmt15_group.exists():
wmt15_users = wmt15_group[0].user_set.all()
for user in wmt15_users:
_user_stats = HIT.compute_status_for_user(user)
_name = user.username
_avg_time = seconds_to_timedelta(_user_stats[1])
_total_time = seconds_to_timedelta(_user_stats[2])
_data = (_name, _user_stats[0], _avg_time, _total_time)
if _data[0] > 0:
user_stats.append(_data)
# Sort by total number of completed HITs.
user_stats.sort(key=lambda x: x[1])
user_stats.reverse()
return user_stats
def _compute_user_stats():
"""
Computes user statistics for the WMT13 evaluation campaign.
"""
user_stats = []
wmt13 = Group.objects.get(name='WMT13')
users = wmt13.user_set.all()
for user in users:
_user_stats = HIT.compute_status_for_user(user)
_name = user.username
_avg_time = seconds_to_timedelta(_user_stats[1])
_total_time = seconds_to_timedelta(_user_stats[2])
_data = (_name, _user_stats[0], _avg_time, _total_time)
if _data[0] > 0:
user_stats.append(_data)
# Sort by total number of completed HITs.
user_stats.sort(key=lambda x: x[1])
user_stats.reverse()
# Only show top 25 contributors.
user_stats = user_stats[:25]
return user_stats
def _compute_global_stats():
"""
Computes some global statistics for the WMT14 evaluation campaign.
"""
global_stats = []
wmt14 = Group.objects.get(name='WMT14')
users = wmt14.user_set.all()
# Check how many HITs have been completed. We now consider a HIT to be
# completed once it has been annotated by one or more annotators.
#
# Before we required `hit.users.count() >= 3` for greater overlap.
hits_completed = HIT.objects.filter(mturk_only=False,
completed=True).count()
# Check any remaining active HITs which are not yet marked complete.
for hit in HIT.objects.filter(active=True,
mturk_only=False,
completed=False):
if hit.users.count() >= 1:
hits_completed = hits_completed + 1
hit.completed = True
hit.save()
# Compute remaining HITs for all language pairs.
hits_remaining = HIT.compute_remaining_hits()
# Compute number of results contributed so far.
ranking_results = RankingResult.objects.filter(
item__hit__completed=True, item__hit__mturk_only=False).count()
# Aggregate information about participating groups.
groups = set()
for user in users:
for group in user.groups.all():
if group.name == 'WMT14' or group.name.startswith('eng2') \
or group.name.endswith('2eng'):
continue
groups.add(group)
# Compute average/total duration over all results.
durations = RankingResult.objects.all().values_list('duration', flat=True)
total_time = sum([datetime_to_seconds(x) for x in durations])
avg_time = total_time / float(hits_completed or 1)
avg_user_time = total_time / float(3 * hits_completed or 1)
global_stats.append(('Users', users.count()))
global_stats.append(('Groups', len(groups)))
global_stats.append(('HITs completed', hits_completed))
global_stats.append(('HITs remaining', hits_remaining))
global_stats.append(('Ranking results', ranking_results))
global_stats.append(('System comparisons', 10 * ranking_results))
global_stats.append(('Average duration', seconds_to_timedelta(avg_time)))
global_stats.append(('Average duration (single user)',
seconds_to_timedelta(avg_user_time)))
global_stats.append(('Total duration', seconds_to_timedelta(total_time)))
return global_stats
def _compute_global_stats():
"""
Computes some global statistics for the WMT14 evaluation campaign.
"""
global_stats = []
wmt14 = Group.objects.get(name='WMT14')
users = wmt14.user_set.all()
# Check how many HITs have been completed. We now consider a HIT to be
# completed once it has been annotated by one or more annotators.
#
# Before we required `hit.users.count() >= 3` for greater overlap.
hits_completed = HIT.objects.filter(mturk_only=False, completed=True).count()
# Check any remaining active HITs which are not yet marked complete.
for hit in HIT.objects.filter(active=True, mturk_only=False, completed=False):
if hit.users.count() >= 1:
hits_completed = hits_completed + 1
hit.completed = True
hit.save()
# Compute remaining HITs for all language pairs.
hits_remaining = HIT.compute_remaining_hits()
# Compute number of results contributed so far.
ranking_results = RankingResult.objects.filter(
item__hit__completed=True, item__hit__mturk_only=False).count()
# Aggregate information about participating groups.
groups = set()
for user in users:
for group in user.groups.all():
if group.name == 'WMT14' or group.name.startswith('eng2') \
or group.name.endswith('2eng'):
continue
groups.add(group)
# Compute average/total duration over all results.
durations = RankingResult.objects.all().values_list('duration', flat=True)
total_time = sum([datetime_to_seconds(x) for x in durations])
avg_time = total_time / float(hits_completed or 1)
avg_user_time = total_time / float(3 * hits_completed or 1)
global_stats.append(('Users', users.count()))
global_stats.append(('Groups', len(groups)))
global_stats.append(('HITs completed', hits_completed))
global_stats.append(('HITs remaining', hits_remaining))
global_stats.append(('Ranking results', ranking_results))
global_stats.append(('System comparisons', 10 * ranking_results))
global_stats.append(('Average duration', seconds_to_timedelta(avg_time)))
global_stats.append(('Average duration (single user)',
seconds_to_timedelta(avg_user_time)))
global_stats.append(('Total duration', seconds_to_timedelta(total_time)))
return global_stats
def status(request):
"""
Renders the status overview.
"""
LOGGER.info('Rendering WMT13 HIT status for user "{0}".'.format(request.user.username or "Anonymous"))
# Compute some global stats.
global_stats = []
wmt13 = Group.objects.get(name="WMT13")
users = wmt13.user_set.all()
# Check how many HITs have been completed.
hits_completed = 0
for hit in HIT.objects.all():
if hit.users.count() >= 3:
hits_completed = hits_completed + 1
# Compute remaining HITs for all language pairs.
hits_remaining = HIT.compute_remaining_hits()
# Compute number of results contributed so far.
ranking_results = RankingResult.objects.all().count()
# Aggregate information about participating groups.
groups = set()
for user in users:
for group in user.groups.all():
if group.name == "WMT13" or group.name.startswith("eng2") or group.name.endswith("2eng"):
continue
groups.add(group)
# Compute average/total duration over all results.
durations = RankingResult.objects.all().values_list("duration", flat=True)
total_time = sum([datetime_to_seconds(x) for x in durations])
avg_time = total_time / float(hits_completed or 1)
global_stats.append(("Users", users.count()))
global_stats.append(("Groups", len(groups)))
global_stats.append(("HITs completed", hits_completed))
global_stats.append(("HITs remaining", hits_remaining))
global_stats.append(("Ranking results", ranking_results))
global_stats.append(("System comparisons", 10 * ranking_results))
global_stats.append(("Average duration", seconds_to_timedelta(avg_time)))
global_stats.append(("Total duration", seconds_to_timedelta(total_time)))
dictionary = {
"active_page": "STATUS",
"global_stats": global_stats,
"commit_tag": COMMIT_TAG,
"title": "WMT13 Status",
}
return render(request, "wmt13/status.html", dictionary)
def overview(request):
"""
Renders the evaluation tasks overview.
"""
LOGGER.info('Rendering WMT14 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)
hit_data = []
total = [0, 0, 0]
for language_pair in language_pairs:
hit = _compute_next_task_for_user(request.user, language_pair)
user_status = HIT.compute_status_for_user(request.user, 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))
# 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]))
group = None
for _group in request.user.groups.all():
if _group.name == 'WMT14' \
or _group.name.startswith('eng2') \
or _group.name.endswith('2eng'):
continue
group = _group
break
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",
'commit_tag': COMMIT_TAG,
'hit_data': hit_data,
'total': total,
'group_name': group_name,
'group_status': group_status,
'admin_url': admin_url,
'title': 'WMT14 Dashboard',
}
return render(request, 'wmt14/overview.html', dictionary)
def overview(request):
"""
Renders the evaluation tasks overview.
"""
LOGGER.info('Rendering WMT13 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)
hit_data = []
total = [0, 0, 0]
for language_pair in language_pairs:
hit = _compute_next_task_for_user(request.user, language_pair)
status = HIT.compute_status_for_user(request.user, language_pair)
for i in range(3):
total[i] = total[i] + status[i]
if hit:
# Convert status seconds back into datetime.time instances.
for i in range(2):
status[i + 1] = seconds_to_timedelta(int(status[i + 1]))
hit_data.append((hit.get_language_pair_display(), hit.get_absolute_url(), hit.block_id, status))
# Convert total seconds back into datetime.time instances.
for i in range(2):
total[i + 1] = seconds_to_timedelta(int(total[i + 1]))
group = None
for _group in request.user.groups.all():
if _group.name == "WMT13" or _group.name.startswith("eng2") or _group.name.endswith("2eng"):
continue
group = _group
break
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])
)
)
dictionary = {
"active_page": "OVERVIEW",
"commit_tag": COMMIT_TAG,
"hit_data": hit_data,
"total": total,
"group_name": group_name,
"group_status": group_status,
"title": "WMT13 Dashboard",
}
return render(request, "wmt13/overview.html", dictionary)
def overview(request):
"""
Renders the evaluation tasks overview.
"""
LOGGER.info('Rendering WMT13 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)
hit_data = []
total = [0, 0, 0]
for language_pair in language_pairs:
hit = _compute_next_task_for_user(request.user, language_pair)
user_status = HIT.compute_status_for_user(request.user, 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.block_id, user_status)
)
# 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]))
group = None
for _group in request.user.groups.all():
if _group.name == 'WMT13' \
or _group.name.startswith('eng2') \
or _group.name.endswith('2eng'):
continue
group = _group
break
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])))
dictionary = {
'active_page': "OVERVIEW",
'commit_tag': COMMIT_TAG,
'hit_data': hit_data,
'total': total,
'group_name': group_name,
'group_status': group_status,
'title': 'WMT13 Dashboard',
}
return render(request, 'wmt13/overview.html', dictionary)
def _compute_global_stats():
"""
Computes some global statistics for the WMT15 evaluation campaign.
"""
global_stats = []
wmt15_group = Group.objects.filter(name='WMT15')
wmt15_users = []
if wmt15_group.exists():
wmt15_users = wmt15_group[0].user_set.all()
# Check how many HITs have been completed. We now consider a HIT to be
# completed once it has been annotated by one or more annotators.
#
# Before we required `hit.users.count() >= 3` for greater overlap.
hits_completed = HIT.objects.filter(mturk_only=False, completed=True).count()
# Check any remaining active HITs which are not yet marked complete.
for hit in HIT.objects.filter(active=True, mturk_only=False, completed=False):
if hit.users.count() >= 1:
hits_completed = hits_completed + 1
hit.completed = True
hit.save()
# Compute remaining HITs for all language pairs.
hits_remaining = HIT.compute_remaining_hits()
# Compute number of results contributed so far.
ranking_results = RankingResult.objects.filter(
item__hit__completed=True, item__hit__mturk_only=False)
from math import factorial
system_comparisons = 0
for result in ranking_results:
result.reload_dynamic_fields()
combinations = factorial(result.systems)/(factorial(result.systems-2) * 2) if result.systems > 2 else 0
system_comparisons = system_comparisons + combinations
# Aggregate information about participating groups.
groups = set()
for user in wmt15_users:
for group in user.groups.all():
if group.name == 'WMT15' or group.name.startswith('eng2') \
or group.name.endswith('2eng'):
continue
groups.add(group)
# Compute average/total duration over all results.
durations = RankingResult.objects.all().values_list('duration', flat=True)
total_time = sum([datetime_to_seconds(x) for x in durations])
avg_time = total_time / float(hits_completed or 1)
avg_user_time = total_time / float(3 * hits_completed or 1)
global_stats.append(('Users', len(wmt15_users)))
global_stats.append(('Groups', len(groups)))
global_stats.append(('HITs completed', '{0:,}'.format(hits_completed)))
global_stats.append(('HITs remaining', '{0:,}'.format(hits_remaining)))
global_stats.append(('Ranking results', '{0:,}'.format(ranking_results.count())))
global_stats.append(('System comparisons', '{0:,}'.format(system_comparisons)))
global_stats.append(('Average duration (per HIT)', seconds_to_timedelta(avg_time)))
global_stats.append(('Average duration (per task)', seconds_to_timedelta(avg_user_time)))
global_stats.append(('Total duration', seconds_to_timedelta(total_time)))
return global_stats
def _compute_global_stats():
"""
Computes some global statistics for the WMT16 evaluation campaign.
"""
global_stats = []
wmt16_group = Group.objects.filter(name='WMT16')
wmt16_users = _get_active_users_for_group(wmt16_group)
# Check how many HITs have been completed. We now consider a HIT to be
# completed once it has been annotated by one or more annotators.
#
# Before we required `hit.users.count() >= 3` for greater overlap.
hits_completed = HIT.objects.filter(mturk_only=False, completed=True).count()
# Check any remaining active HITs which are not yet marked complete.
for hit in HIT.objects.filter(active=True, mturk_only=False, completed=False):
if hit.users.count() >= 1:
hits_completed = hits_completed + 1
hit.completed = True
hit.save()
# Compute remaining HITs for all language pairs.
hits_remaining = HIT.compute_remaining_hits()
# Compute number of results contributed so far.
ranking_results = RankingResult.objects.filter(
item__hit__completed=True, item__hit__mturk_only=False)
from math import factorial
system_comparisons = 0
for result in ranking_results:
result.reload_dynamic_fields()
# TODO: this implicitly counts A=B comparisons for multi systems.
# Basically, inflating the number of pairwise comparisons... Fix!
combinations = factorial(result.systems)/(factorial(result.systems-2) * 2) if result.systems > 2 else 0
system_comparisons = system_comparisons + combinations
# Aggregate information about participating groups.
groups = set()
for user in wmt16_users:
for group in _identify_groups_for_user(user):
groups.add(group)
# Compute average/total duration over all results.
durations = RankingResult.objects.all().values_list('duration', flat=True)
total_time = sum([datetime_to_seconds(x) for x in durations])
avg_time = total_time / float(hits_completed or 1)
avg_user_time = total_time / float(3 * hits_completed or 1)
global_stats.append(('Users', len(wmt16_users)))
global_stats.append(('Groups', len(groups)))
global_stats.append(('HITs completed', '{0:,}'.format(hits_completed)))
global_stats.append(('HITs remaining', '{0:,}'.format(hits_remaining)))
global_stats.append(('Ranking results', '{0:,}'.format(ranking_results.count())))
global_stats.append(('System comparisons', '{0:,}'.format(system_comparisons)))
global_stats.append(('Average duration (per HIT)', seconds_to_timedelta(avg_time)))
global_stats.append(('Average duration (per task)', seconds_to_timedelta(avg_user_time)))
global_stats.append(('Total duration', seconds_to_timedelta(total_time)))
# Create new status data snapshot
TimedKeyValueData.update_status_if_changed('users', str(len(wmt16_users)))
TimedKeyValueData.update_status_if_changed('groups', str(len(groups)))
TimedKeyValueData.update_status_if_changed('hits_completed', str(hits_completed))
TimedKeyValueData.update_status_if_changed('hits_remaining', str(hits_remaining))
TimedKeyValueData.update_status_if_changed('ranking_results', str(ranking_results.count()))
TimedKeyValueData.update_status_if_changed('system_comparisons', str(system_comparisons))
TimedKeyValueData.update_status_if_changed('duration_per_hit', str(seconds_to_timedelta(avg_time)))
TimedKeyValueData.update_status_if_changed('duration_per_task', str(seconds_to_timedelta(avg_user_time)))
TimedKeyValueData.update_status_if_changed('duration_total', str(seconds_to_timedelta(total_time)))
return global_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 _compute_global_stats():
"""
Computes some global statistics for the WMT16 evaluation campaign.
"""
global_stats = []
wmt16_group = Group.objects.filter(name='WMT16')
wmt16_users = _get_active_users_for_group(wmt16_group)
# Check how many HITs have been completed. We now consider a HIT to be
# completed once it has been annotated by one or more annotators.
#
# Before we required `hit.users.count() >= 3` for greater overlap.
hits_completed = HIT.objects.filter(mturk_only=False,
completed=True).count()
# Check any remaining active HITs which are not yet marked complete.
for hit in HIT.objects.filter(active=True,
mturk_only=False,
completed=False):
if hit.users.count() >= 1:
hits_completed = hits_completed + 1
hit.completed = True
hit.save()
# Compute remaining HITs for all language pairs.
hits_remaining = HIT.compute_remaining_hits()
# Compute number of results contributed so far.
ranking_results = RankingResult.objects.filter(item__hit__completed=True,
item__hit__mturk_only=False)
from math import factorial
system_comparisons = 0
for result in ranking_results:
result.reload_dynamic_fields()
# TODO: this implicitly counts A=B comparisons for multi systems.
# Basically, inflating the number of pairwise comparisons... Fix!
combinations = factorial(result.systems) / (
factorial(result.systems - 2) * 2) if result.systems > 2 else 0
system_comparisons = system_comparisons + combinations
# Aggregate information about participating groups.
groups = set()
for user in wmt16_users:
for group in _identify_groups_for_user(user):
groups.add(group)
# Compute average/total duration over all results.
durations = RankingResult.objects.all().values_list('duration', flat=True)
total_time = sum([datetime_to_seconds(x) for x in durations])
avg_time = total_time / float(hits_completed or 1)
avg_user_time = total_time / float(3 * hits_completed or 1)
global_stats.append(('Users', len(wmt16_users)))
global_stats.append(('Groups', len(groups)))
global_stats.append(('HITs completed', '{0:,}'.format(hits_completed)))
global_stats.append(('HITs remaining', '{0:,}'.format(hits_remaining)))
global_stats.append(
('Ranking results', '{0:,}'.format(ranking_results.count())))
global_stats.append(
('System comparisons', '{0:,}'.format(system_comparisons)))
global_stats.append(
('Average duration (per HIT)', seconds_to_timedelta(avg_time)))
global_stats.append(
('Average duration (per task)', seconds_to_timedelta(avg_user_time)))
global_stats.append(('Total duration', seconds_to_timedelta(total_time)))
# Create new status data snapshot
TimedKeyValueData.update_status_if_changed('users', str(len(wmt16_users)))
TimedKeyValueData.update_status_if_changed('groups', str(len(groups)))
TimedKeyValueData.update_status_if_changed('hits_completed',
str(hits_completed))
TimedKeyValueData.update_status_if_changed('hits_remaining',
str(hits_remaining))
TimedKeyValueData.update_status_if_changed('ranking_results',
str(ranking_results.count()))
TimedKeyValueData.update_status_if_changed('system_comparisons',
str(system_comparisons))
TimedKeyValueData.update_status_if_changed(
'duration_per_hit', str(seconds_to_timedelta(avg_time)))
TimedKeyValueData.update_status_if_changed(
'duration_per_task', str(seconds_to_timedelta(avg_user_time)))
TimedKeyValueData.update_status_if_changed(
'duration_total', str(seconds_to_timedelta(total_time)))
return global_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)
