def build_context(task_type_map, total_tasks_by_type, worker_id, task_type=None,
task_type_obj=None):
task_type = task_type or task_type_obj['task_type']
remaining_tasks = task_type_obj['num_tasks'] if task_type_obj else 0
percent_complete = (100 * (1.0 - (float(remaining_tasks)
/ total_tasks_by_type[task_type]))
if task_type_obj else 100)
assignment_url = (interface.get_assignment_url() + '?'
+ urlencode({'task_type': task_type,
'worker_id': worker_id}))
return {'full_name': task_type_map[task_type],
'remaining_tasks': remaining_tasks,
'percent_complete': percent_complete,
'assignment_url': assignment_url}
def index(request):
interface, _ = CrowdRegistry.get_registry_entry('internal')
# Get worker id from session, or create one if this is a first-time user.
worker_id = request.session.get('worker_id')
if not worker_id:
worker_id = str(uuid.uuid4())
request.session['worker_id'] = worker_id
# Map from task type to total assignments in the system
total_tasks_by_type = dict(
CrowdTask.objects.values_list('task_type').annotate(
num_tasks=Count('task_id')))
task_type_map = {
'sa': 'Sentiment Analysis',
'er': 'Entity Resolution',
'ft': 'Filtering',
}
# Eligible task types with the number of available assignments for each.
eligible_task_ids = list(
interface.get_eligible_tasks(worker_id).values_list('task_id',
flat=True))
incomplete_tasks_by_type = (CrowdTask.objects.filter(
task_id__in=eligible_task_ids).values('task_type').annotate(
num_tasks=Count('task_id')))
task_types = {
t['task_type']: build_context(task_type_map,
total_tasks_by_type,
worker_id,
task_type_obj=t)
for t in incomplete_tasks_by_type
}
for t_shortname, t_fullname in task_type_map.iteritems():
if t_shortname not in task_types:
task_types[t_shortname] = build_context(task_type_map,
total_tasks_by_type,
worker_id,
task_type=t_shortname)
# Render index template
return render(request, 'internal/index.html', {
'task_types': task_types,
'task_map': task_type_map
})
def index(request):
interface, _ = CrowdRegistry.get_registry_entry('internal')
# Get worker id from session, or create one if this is a first-time user.
worker_id = request.session.get('worker_id')
if not worker_id:
worker_id = str(uuid.uuid4())
request.session['worker_id'] = worker_id
# Map from task type to total assignments in the system
total_tasks_by_type = dict(
CrowdTask.objects.values_list('task_type')
.annotate(num_tasks=Count('task_id')))
task_type_map = {
'sa': 'Sentiment Analysis',
'er': 'Entity Resolution',
'ft': 'Filtering',
}
# Eligible task types with the number of available assignments for each.
eligible_task_ids = list(interface.get_eligible_tasks(worker_id)
.values_list('task_id', flat=True))
incomplete_tasks_by_type = (CrowdTask.objects
.filter(task_id__in=eligible_task_ids)
.values('task_type')
.annotate(num_tasks=Count('task_id')))
task_types = { t['task_type'] :
build_context(task_type_map, total_tasks_by_type,
worker_id, task_type_obj=t)
for t in incomplete_tasks_by_type }
for t_shortname, t_fullname in task_type_map.iteritems():
if t_shortname not in task_types:
task_types[t_shortname] = build_context(
task_type_map, total_tasks_by_type, worker_id,
task_type=t_shortname)
# Render index template
return render(request, 'internal/index.html', {'task_types': task_types,
'task_map': task_type_map})
