ValueError at / (Required parameter name not set)

django-storages
aws_default_acl
valueerror required parameter key not set boto3
django-storages s3
aws_s3_file_overwrite
aws_s3_host
boto3 storage
django-storages filefield

I am trying to make a blog app using django and python. I am also trying to use s3 buckets for storage and heroku for deployment.I am follow a tutorial online by coreymschafer. I am doing everything exactly as the tutorial, yet i am getting that error. I have no idea what to do. Please help!

I have also installed boto3 and django-storages. However, I feel that the problem is with boto3 for some reasonenter image description here. i have attached a screenshot of the problem,also just wanted to state that there is no problem with base.html

PLEASE HELP! THANK YOU

I added these to my settings.py file:

AWS_ACCESS_KEY_ID = os.environ.get('AWS_ACCESS_KEY_ID')
AWS_SECRET_ACCESS_KEY = os.environ.get('AWS_SECRET_ACCESS_KEY')
AWS_STORAGE_BUCKET_NAME = os.environ.get('AWS_STORAGE_BUCKET_NAME')

AWS_S3_FILE_OVERWRITE = False
AWS_DEFAULT_ACL = None

DEFAULT_FILE_STORAGE = 'storages.backends.s3boto3.S3Boto3Storage'

kill the your local server, close your command prompt. And restart your command prompt. Run the server again and try. If after doing that your have this error : The authorization mechanism you have provided is not supported. Please use AWS4-HMAC-SHA256 Put this in your settings.py :

AWS_S3_REGION_NAME = 'us-east-2' #change to your region
AWS_S3_SIGNATURE_VERSION = 's3v4'

ValueError at / (Required parameter name not set), kill the your local server, close your command prompt. And restart your command prompt. Run the server again and try. If after doing that your� Teams. Q&A for Work. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.

I had the same problem as yours and probably you did not set the AWS environment variables in the server-side although you set them in your local machine. So, you can copy the export commands in your local .bash_profile file where you set AWS environment variables and paste them into the .bash_profile file in the server-side.

Flask & Boto3 `ValueError: Required parameter name not set` on , Boto3 allows 3 ways to set credentials, documented here. It looks like you are using the 3rd method, linked above, of Method Parameters here: ValueError: Required parameter name not set. This comment has been minimized. Sign in to view. Copy link Quote reply Owner jschneier commented Mar 3,

Had the same issue. Commented out this line and the code was working fine again:

DEFAULT_FILE_STORAGE = 'storages.backends.s3boto3.S3Boto3Storage'

Found out it was because, even if i had already restarted my PC, one of Environmental variable I was referencing was improperly set:

AWS_ACCESS_KEY_ID = os.environ.get('AWS_ACCESS_KEY_ID')
AWS_SECRET_ACCESS_KEY = os.environ.get('AWS_SECRET_ACCESS_KEY')
AWS_STORAGE_BUCKET_NAME = os.environ.get('AWS_STORAGE_BUCKET_NAME')

I checked using Python console using:

import os
print(os.environ.get('AWS_ACCESS_KEY_ID'))
print(os.environ.get('AWS_SECRET_ACCESS_KEY'))
print(os.environ.get('AWS_STORAGE_BUCKET_NAME'))

and made sure that Python can access all the values properly. Then brought back the :

DEFAULT_FILE_STORAGE = 'storages.backends.s3boto3.S3Boto3Storage'

boto3.resources.base — Boto3 Docs 1.14.37 documentation, You # may not use this file except in compliance with the License. (``list``) List of identifier names self.identifiers = identifiers #: (:py:class:`~botocore.client. is None: raise ValueError( 'Required parameter {0} not set'.format(identifier)) def� If (num And 1) = 1 Then Throw New ArgumentException(String.Format("{0} is not an even number", num), "num") End If Return num \ 2 End Function End Class ' The example displays the following output: ' 10 divided by 2 is 5 ' ' ArgumentException: 7 is not an even number ' Parameter name: num

I did have the same issue. Tha way I solved it was this:

  1. Go to your AWS console
  2. Choose the name of your bucket
  3. Choose properties
  4. Choose Encryption
  5. Click on Read more.. (this will lead you to your permissions tab)
  6. Unblock permissions.

I know this isn't the best way and practices to do it. But I could move along. If anyone here has the same trouble, please share!

Amazon S3 — django-storages 1.9.1 documentation, The minimum required version of boto3 is 1.4.4 although we always If AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY are not set, To view a full list of possible parameters (there are many) see the Boto3 docs for uploading files. AWS_S3_REGION_NAME (optional: default is None ): Name of the AWS S3� def import_to_orm(name, save=False, recurse=False): if recurse and not save: raise ValueError("save must be True if recurse is True") There's really no point in doing class BadValueError(ValueError):pass - your custom class is identical in use to ValueError, so why not use that?

Direct to S3 File Uploads in Python, Web applications often require the ability to allow users to upload files credentials, set your target S3 bucket's name (not the bucket's ARN): The above function passes the file's name and mime type as parameters to the� :param str name: name of the Pod (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed.

python, 'ValueError: Required parameter not set' Django app following AWS Type: ValueError Exception Value: Required parameter name not set� from collections import defaultdict from torch._six import container_abcs import torch from copy import deepcopy from itertools import chain class _RequiredParameter (object): """Singleton class representing a required parameter for an Optimizer.""" def __repr__ (self): return "<required parameter>" required = _RequiredParameter ()

python, 每次我运行我的应用程序,它都会工作,直到我向 /files 路由发送一个请求,在那里我得到一个 ValueError: Required parameter name not set 。错误未指定未设置� Add this suggestion to a batch that can be applied as a single commit. This suggestion is invalid because no changes were made to the code. Suggestions cannot be applied while the pull request is closed.

Comments
  • can you make sure if you have set the environment variables properly in heroku?
  • Yeah, I have. I have been researching on this issue for an hour, I still don't know what the problem is