ClientError while uploading files to AWS

0

Hi, I'm using a django file upload project and this issue keeps on popping up.

An error occurred (SignatureDoesNotMatch) when calling the CreateMultipartUpload operation: The request signature we calculated does not match the signature you provided. Check your key and signing method.

This is my settings.py

AWS_STORAGE_BUCKET_NAME = 'bucket-name'
AWS_S3_REGION_NAME = 'region-name'

My .env

AWS_ACCESS_KEY_ID='Access_key_ID'
AWS_SECRET_ACCESS_KEY='Secret_Key_ID'

A detailed helpful with step-by-step procedure to solve this issue would be highly helpful as I'm super beginner with AWS (I started this project 2 days ago).

Thank you

asked a year ago218 views
1 Answer
1

The "SignatureDoesNotMatch" error typically indicates an issue with the request signature used to authenticate the request to AWS. Here are a few things to check to resolve this issue:

Ensure that the AWS access key and secret access key in your .env file are correct and have sufficient permissions to perform the desired operation on the S3 bucket.

Ensure that the region name specified in your settings.py file matches the region where your S3 bucket is located. You can check the region in the AWS Management Console or by running the aws s3api get-bucket-location --bucket <bucket-name> command in the AWS CLI.

Verify that you are using the correct endpoint URL for the S3 service in your Django code. The endpoint URL should be in the format https://s3.<region-name>.amazonaws.com or https://s3.<region-name>.amazonaws.com/<bucket-name>. If your bucket is in a region other than us-east-1, you should use the former format.

Check that the system time on the server running your Django application is correct. If the time is not synced with the AWS servers, it can cause authentication issues.

Ensure that the version of the AWS SDK you are using is compatible with the version of the S3 API you are trying to access. You can check the API version in the AWS documentation or by running the aws s3api get-bucket-versioning --bucket <bucket-name> command in the AWS CLI.

If you have tried all of the above and are still encountering issues, you may want to enable AWS CloudTrail to log API requests and responses to help diagnose the issue. Additionally, you can try enabling debug logging in the AWS SDK for Python to get more detailed error messages.

AWS
answered a year ago

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