在线程中创建的DatabaseWrapper对象只能在同一线程中使用."尝试使用celery插入数据库时 [英] DatabaseWrapper objects created in a thread can only be used in that same thread." when trying to insert into database using celery

问题描述

我正在使用芹菜从csv读取数据并将其上传到Postgres.芹菜任务正在运行(我认为)，但是django抛出错误.我正在获取文件，将其转换为熊猫，删除2列，然后转换为numpy并传递给芹菜.

I am using celery to read data from a csv and upload it to Postgres. The celery task is working(I think), but django is throwing an error. I am getting a file,converting it to pandas, deleting 2 columns, and converting to numpy and passing to celery.

#tasks.py
@shared_task
def a(data):
    for x in data:
        date=x[0]
        date=datetime.datetime.strptime(date,"%m/%d/%Y")
        date=str(date.date())
        desc=x[1]
        amount=x[3]
        account=x[6]
        cat=x[5]
        account_type=x[4]
        #changing account type
        if account_type=="debit":
            account_type=False
        else:
            account_type=True
        #creating account if needed and assigning the the object to account
        try:
            account=t102_accounts.objects.get(c102_acc_name=account,c102_is_credit_fl=account_type)
        except:
            account=t102_accounts.objects.create(c102_acc_name=account,c102_is_credit_fl=account_type)
        #creating cat if needed and assigning the object
        try:
            cat=t100_code_lookup.objects.get(c100_code_name=cat)
        except:
            cat=t100_code_lookup.objects.create(c100_code_name=cat,c100_for_exp_fl=True,c100_for_income_fl=True)
        #creating the transaction if it is not existing already
        try:
            t106_transactions.objects.get(c106_trans_amount=amount,
            c106_trans_date=date,c102_trans_card_num=account,
            c100_trans_cat=cat,c106_trans_name=desc)
            continue
        except:
            t106_transactions.objects.create(c106_trans_amount=amount,
            c106_trans_date=date,c102_trans_card_num=account,
            c100_trans_cat=cat,c106_trans_name=desc)
    return 'done'
#calling the function in views
def upload(request):
    if request.method=="POST":
        form=UploadFile(request.POST,request.FILES)
        if form.is_valid():
            data=request.FILES["file"]
            data=pd.read_csv(data)
            del data["Notes"]
            del data["Labels"]
            data = data.dropna(axis=0)
            data=data.to_numpy()
            data=data.tolist()
            a.delay(data)
            return redirect(dashboard)

我的回溯在这里列出.追溯:

My traceback is listed here. Traceback:

  File "c:\users\yogab\appdata\local\programs\python\python38-32\lib\site-packages\celery\utils\dispatch\signal.py", line 288, in send
    response = receiver(signal=self, sender=sender, **named)
  File "c:\users\yogab\appdata\local\programs\python\python38-32\lib\site-packages\celery\fixups\django.py", line 172, in on_task_postrun
    self.close_database()
  File "c:\users\yogab\appdata\local\programs\python\python38-32\lib\site-packages\celery\fixups\django.py", line 177, in close_database
    return self._close_database()
  File "c:\users\yogab\appdata\local\programs\python\python38-32\lib\site-packages\celery\fixups\django.py", line 186, in _close_database
    conn.close()
  File "c:\users\yogab\appdata\local\programs\python\python38-32\lib\site-packages\django\utils\asyncio.py", line 24, in inner
    return func(*args, **kwargs)
  File "c:\users\yogab\appdata\local\programs\python\python38-32\lib\site-packages\django\db\backends\base\base.py", line 286, in close
    self.validate_thread_sharing()
  File "c:\users\yogab\appdata\local\programs\python\python38-32\lib\site-packages\django\db\backends\base\base.py", line 553, in validate_thread_sharing
    raise DatabaseError(
django.db.utils.DatabaseError: DatabaseWrapper objects created in a thread can only be used in that same thread. The object with alias 'default' was created in thread id 54283112 and this is thread id 8121832.```

推荐答案

我发现了问题所在:我在Windows上.

I found out the problem: I was on Windows.

一旦我部署到heroku(可在Linux上运行)，它就会起作用.

Once I deployed to heroku(which runs on Linux), it worked.

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