TypeError:不支持初始化参数错误django celery

时间:2012-12-17 10:35:15

标签: python django celery django-haystack

我从django-celery那里得到一个错误,让我在一天中的大部分时间里完全被困住了。

IM使用django-haystack并且只要更新了作为搜索索引一部分的模型,就会运行芹菜任务。我有一个自定义QueuedSearchIndex类连接到模型post_save和post_delete信号。这适用于一个模型,但不适用于另一个模型,即django.contrib.auth

中的用户模型

创建/更新用户模型时,芹菜会出现以下错误。

Problem installing fixture '/believein/data/www/platform/believein/fixtures/user.json': Traceback (most recent call last):
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/django/core/management/commands/loaddata.py", line 196, in handle    obj.save(using=using)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/django/core/serializers/base.py", line 165, in save    models.Model.save_base(self.object, using=using, raw=True)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/django/db/models/base.py", line 565, in save_base
    created=(not record_exists), raw=raw, using=using)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/django/dispatch/dispatcher.py", line 172, in send
    response = receiver(signal=self, sender=sender, **named)
  File "/believein/data/www/platform/main/utils/search.py", line 156, in update_object
    update_search_index.delay(self, instance, self.backend)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/celery/app/task.py", line 343, in delay
    return self.apply_async(args, kwargs)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/celery/app/task.py", line 469, in apply_async
    **options)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/celery/app/amqp.py", line 214, in publish_task
    **kwargs)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/kombu/messaging.py", line 150, in publish
    compression, headers)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/kombu/messaging.py", line 201, in _prepare
    body) = encode(body, serializer=serializer)
  File "/believein/data/python-virtualenvs/believein-platform/local/lib/python2.7/site-packages/kombu/serialization.py", line 153, in encode
    payload = encoder(data)
  File "/believein/data/python-virtualenvs/believein-platform/lib/python2.7/copy_reg.py", line 71, in _reduce_ex
    state = base(self)
TypeError: Initialization arguments are not supported

正如您所见,此示例是在加载灯具时引发的,但在正常编辑模型时则相同。用户的新实例和已经存在的更新实例都是这种情况。我的任务如下所示

@task                                                                                                                                                                                                           
def update_search_index(index, instance, backend):                                                                                                                                                              
"""task to update the solr index when a model is updated                                                                                                                                                    

:param index: instance of the ``SearchIndex``                                                                                                                                                               
:param instance: the model that was updated                                                                                                                                                                 
:type instance: ``django.db.models.Model``                                                                                                                                                                  
:param backend: the search back instance                                                                                                                                                                    
:type backend: ``haystack.backends.solr_backend``                                                                                                                                                           

see ``main.utils.search.QueuedSearchIndex`` for more info                                                                                                                                                   

"""                                                                                                                                                                                                         

backend.update(index, [instance])

searchindex类如下所示

class QueuedSearchIndex(RealTimeSearchIndex):                                                                                                                                                                   

def update_object(self, instance, **kwargs):                                                                                                                                                                
    """Handles updating the index when a model is updated by pushing                                                                                                                                        
    the update through celery                                                                                                                                                                               

    :param instance: the instance of the model that was updated                                                                                                                                             
    :type instance: django.db.models.Model                                                                                                                                                                  

    """                                                                                                                                                                                                     
    if self.should_update(instance, **kwargs):                                                                                                                                                              
        update_search_index.delay(self, instance, self.backend)

值得一提的是,User模型与UserProfile模型之间存在One2One关系,该模型在User模型上具有post_save信号,以便在已存在一个剂量时创建UserProfile实例。

0 个答案:

没有答案