本文整理汇总了Python中tasks.models.Task.creator方法的典型用法代码示例。如果您正苦于以下问题：Python Task.creator方法的具体用法？Python Task.creator怎么用？Python Task.creator使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tasks.models.Task的用法示例。
在下文中一共展示了Task.creator方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: create
# 需要导入模块: from tasks.models import Task [as 别名]
# 或者: from tasks.models.Task import creator [as 别名]
def create(self, request):
task = Task()
task.summary = request.POST.get('summary')
task.detail = request.POST.get('detail')
task.creator = request.user
task.save()
return task示例2: pinax_handle_uploaded_file
# 需要导入模块: from tasks.models import Task [as 别名]
# 或者: from tasks.models.Task import creator [as 别名]
def pinax_handle_uploaded_file(file, user_id):
user_object = User.objects.get(pk=user_id)
csv_reader = csv.DictReader(file, fieldnames=['date','start','end','duration','project','task'])
line_data = []
for line in csv_reader:
line_data.append(line)
total_time = 0
val = {}
pickles = {'projects': [], 'tasks': [], 'slices': []}
for line in line_data[1:]:
begin = datetime.strptime('T'.join((line['date'], line['start'])), '%Y-%m-%dT%H:%M')
end = datetime.strptime('T'.join((line['date'], line['end'])), '%Y-%m-%dT%H:%M')
total_time += int(line['duration'])
if not val.has_key(line['project']):
project_set = Project.objects.filter(name=line['project'], member_users=user_id)
if project_set:
if len(project_set) > 1:
project, project_created_msg, project_created_bool = create_pinax_project(user_object, line)
else:
project = project_set[0]
project_created_msg = _('Found project, and will add tasks and timeslices to the existing project.')
project_created_bool = False
else:
project_set = Project.objects.filter(name=line['project'])
if project_set:
if len(project_set) >1:
project, project_created_msg, project_created_bool = create_pinax_project(user_object, line)
else:
project = project_set[0]
project_created_msg = _('Found project will add tasks and timeslices to the existing project.')
project_created_bool = False
else:
project, project_created_msg, project_created_bool = create_pinax_project(user_object, line)
val[line['project']] = {'created': project_created_bool, 'message': project_created_msg, 'project_object': project, 'tasks': {}}
pickles['projects'].append(project)
if not val[line['project']]['tasks'].has_key(line['task']):
if val[line['project']]['created']:
task = Task()
task.summary = line['task']
task.creator = user_object
task.group = val[line['project']]['project_object']
task.created = line['date']
task_created_bool = True
else:
task_set = Task.objects.filter(summary=line['task'], creator=user_object, object_id=project.id)
if not task_set or len(task_set) > 1:
task = Task()
task.summary = line['task']
task.creator = user_object
task.group = val[line['project']]['project_object']
task.created = line['date']
task_created_bool = True
else:
task = task_set[0]
task_created_bool = False
val[line['project']]['tasks'][line['task']]={'created': task_created_bool, 'task_object': task, 'slices': []}
pickles['tasks'].append(task)
if val[line['project']]['tasks'][line['task']]['created']:
tslice = TimeSlice()
tslice.begin = begin
tslice.duration = int(line['duration'])
tslice.task = val[line['project']]['tasks'][line['task']]['task_object']
tslice.user = user_object
slice_created_bool = True
else:
slice_set = TimeSlice.objects.filter(begin=begin, duration=int(line['duration']), task=task, user=user_object)
if slice_set:
tslice = slice_set[0]
slice_created_bool = False
else:
tslice = TimeSlice()
tslice.begin = begin
tslice.duration = int(line['duration'])
tslice.task = val[line['project']]['tasks'][line['task']]['task_object']
tslice.user = user_object
slice_created_bool = True
val[line['project']]['tasks'][line['task']]['slices'].append(tslice)
pickles['slices'].append(tslice)
total_time = str(int(total_time/3600.0))+'h'
# Okay, now we have processed the data, lets write it to a couple of files.
import_data = DataImport.objects.create(user=user_object)
file_name = hashlib.sha1(user_object.username + str(time.time())).hexdigest()
import_data.complete_data.save(file_name, ContentFile(pickle.dumps(pickles)))
import_data.partial_data.save(file_name, ContentFile(pickle.dumps(line_data[1:11])))
import_data.save()
return import_data.id