Django - upload a file to the cloud (Azure blob storage) with progress bar-CodePudding

I'm following this tutorial to add a progress bar when I'm uploading a file in Django, using ajax. When I'm uploading the file to a folder using the upload_to option everything works fine. But when I'm uploading the file to Azure using the storage option - It doesn't work. i.e. when this is my model:

class UploadFile(models.Model):
    title = models.CharField(max_length=50)
    file=models.FileField(upload_to='files/media/pre')

It works perfect, but when this is my model:

from myAzure import AzureMediaStorage as AMS
class UploadFile(models.Model):
    title = models.CharField(max_length=50)
    file = models.FileField(storage=AMS)

It gets stuck and not progressing. (AMS is defined in myAzure.py by):

from storages.backends.azure_storage import AzureStorage

class AzureMediaStorage(AzureStorage):
    account_name = '<myAccountName>'
    account_key = '<myAccountKey>'
    azure_container = 'media'
    expiration_secs = None

How can I make it work?

EDIT: If it was not clear:

my problem is not to upload to Azure, but to show progress bar.
From security reasons I do not want to upload the file from the browser and to use CORS and SAS but from my backend.

CodePudding user response：

I can suggest to try the work-around of storing file locally and then upload to Azure.

Not sure if it will work but at least you may give it a try and tell if helps:

class UploadFile(models.Model):
    title = models.CharField(max_length=50)
    file = models.FileField(upload_to='files/media/pre', null=True, blank=False)
    remote_file = models.FileField(storage=AMS, null=True, blank=True, default=None)

    def save(self, *args, **kwargs):
        if self.file:
            self.remote_file = self.file
            super().save(*args, **kwargs)  # in theory - this should trigger upload of remote_file
            self.file = None 
        super().save(*args, **kwargs)

CodePudding user response：

When one is uploading a file to a specific place, in order to track the current state of the upload either one adds a wrapper around the Python object or the place where one is uploading to provides a callback for monitoring.

Since the Azure library doesn't provide that callback, one can create a wrapper for the object or use an already existing one.

There's a library suggested by Alastair McCormack named tqdm with such wrapper that one can use.

As George John shows, one can do something like this

size = os.stat(fname).st_size
with tqdm.wrapattr(open(fname, 'rb'), "read", total=size) as data:
    blob_client.upload_blob(data)