我想在save期间在数据库中Celery task放置一个对象。该对象是导出文件。 Celery任务允许创建它，我想将其存储在表中。
这是我的 models.py ：
class CeleryExportFile(models.Model):
name = models.CharField(max_length=100, verbose_name=_('Name of export file'), default='')
file = models.FileField(upload_to='media/', default='')
creation_date = models.DateTimeField(verbose_name=_('Creation date'), auto_now_add=True)
expiration_date = models.DateTimeField(verbose_name=_('Expiration date'))
def __str__(self):
return self.file
class Meta:
verbose_name = _('Celery Export File')
verbose_name_plural = _('Celery Export Files')
我有一个Celery tasks.py 文件：
def get_xls_export(self, model="", search_info="", query_params=None):
app_label = 'app'
its_fp_or_up_product = False
query_params = query_params or {}
obsolete = False
if query_params.get('obsolete', '') == 'True':
obsolete = True
default_sorting_key = ''
show_date_format = settings.USER_DATE_FORMAT
if model == "finalproduct" or model == "upstreamproduct":
its_fp_or_up_product = True
default_sorting_key = 'manufacturer_name' if model == "finalproduct" else 'releasing_body__short_name'
if model == "releasebodyinstitution":
default_sorting_key = 'name'
model = apps.get_model(app_label=app_label, model_name=model)
# create a workbook in memory
output = io.BytesIO()
book = Workbook(output, {'constant_memory': True})
sheet = book.add_worksheet('Page 1')
# Sheet header, first row
row_num = 0
columns = model.export_field_excel()
rows_width_max = {}
bold_format = book.add_format({'bold': True})
max_col_width = []
for col_num in range(len(columns)):
rows_width_max[col_num] = columns[col_num].__len__()
sheet.write(row_num, col_num, columns[col_num], bold_format)
max_col_width.append(len(columns[col_num]) if len(columns[col_num]) > 10 else 10)
default_sorting = True
sorting_key = ''
# Define search get all object or sorted value.
if search_info != '':
create_filters = search_info.split(';')
if create_filters.__len__() == 1:
if 'sorting' in create_filters[0]:
default_sorting = False
sorting_key = create_filters[0].split('=')[1].replace('~', '-')
search_info = ''
else:
for criter in create_filters:
if 'sorting' in criter:
default_sorting = False
sorting_key = criter.split('=')[1].replace('~', '-')
search_info = search_info.replace(criter, "")
search_info = search_info[:-1]
objects = model.objects.all()
if not its_fp_or_up_product:
if obsolete:
objects = objects.obsolete()
else:
objects = objects.active()
if sorting_key:
objects = objects.order_by(sorting_key, 'pk')
if default_sorting:
objects = objects.order_by(default_sorting_key, 'pk')
if search_info != '':
create_filters = search_info.split(';')
for search_filter in create_filters:
search_filter = search_filter.split('=')
try:
if search_filter[1]:
objects = objects.filter(**{search_filter[0]: search_filter[1]})
except:
# Crud patch search
if search_filter[0] == 'q':
search_info = search_info.replace('q=', '')
objects = objects.filter(get_query(search_info, model.get_xls_values_list()))
rows = objects.values_list(*model.get_xls_values_list())
for row in rows:
row_num += 1
for col_num in range(len(row)):
# Patch True False for boolean field
is_bool = False
if type(row[col_num]) is bool:
is_bool = True
if col_num in model.get_date_field_number():
if row[col_num]:
sheet.write(row_num, col_num, row[col_num].strftime(show_date_format))
else:
if is_bool:
sheet.write(row_num, col_num, 'True' if row[col_num] else 'False')
else:
sheet.write(row_num, col_num, row[col_num])
if len(str(row[col_num])) > max_col_width[col_num]:
max_col_width[col_num] = len(str(row[col_num]))
# AutoFit col
for col_num in range(len(columns)):
sheet.set_column(col_num, col_num, max_col_width[col_num] + 1)
book.close()
output.seek(0)
name = str(name + "_" + str(datetime.datetime.now().strftime("%Y_%m_%d_%H_%M_%s")) + '.xlsx')
CeleryExportFile.save(name=name, file=output, expiration_date=datetime.datetime.now())
# default_storage.save(name, output)
try:
self.send_email(name=name)
except ConnectionRefusedError as e:
return ['error_message', _('Error for sending email')]
return ['success_message', _('Generation of export file is done')]
我遇到了这个问题：
[2019-02-14 12:23:56,151: ERROR/ForkPoolWorker-4] Task app.tasks.get_xls_export[80e7ea2e-4192-4df7-ba05-83a14805225f] raised unexpected: TypeError("save() got an unexpected keyword argument 'name'",)
Traceback (most recent call last):
File "/home/.pyenv/versions/3.6.2/envs/app/lib/python3.6/site-packages/celery/app/trace.py", line 382, in trace_task
R = retval = fun(*args, **kwargs)
File "/home/.pyenv/versions/3.6.2/envs/app/lib/python3.6/site-packages/celery/app/trace.py", line 641, in __protected_call__
return self.run(*args, **kwargs)
File "/home/Bureau/Projets/app/src/app/tasks.py", line 151, in get_xls_export
CeleryExportFile.save(name='test', file=book, expiration_date=datetime.datetime.now())
TypeError: save() got an unexpected keyword argument 'name'
如何将文件保存到数据库中？
我必须将名称，文件，..设置为kwargs，并在我的 models.py 中使用save()创建一个kwargs.pop方法？
答案 0 :(得分：2)
只需执行以下操作：
celery_export_file = CeleryExportFile(name=name, file=output, expiration_date=datetime.datetime.now())
celery_export_file.save()
或者您可以像这样调用create()方法：
CeleryExportFile.objects.create(name=name, file=output, expiration_date=datetime.datetime.now())