Boto3 Error: botocore.exceptions.NoCredentialsError: Unable to locate credentials

Question

When I simply run the following code, I always gets this error.

s3 = boto3.resource(\'s3\')
    bucket_name = \"python-sdk-sample-%s\" % uuid.uuid4()
    pri         


        

Answer 1

If you are looking for an alternative way, try adding your credentials using AmazonCLI

from the terminal type:-

aws configure

then fill in your keys and region.

Answer 2

Make sure your ~/.aws/credentials file in Unix looks like this:

[MyProfile1]
aws_access_key_id = yourAccessId
aws_secret_access_key = yourSecretKey

[MyProfile2]
aws_access_key_id = yourAccessId
aws_secret_access_key = yourSecretKey

Your Python script should look like this, and it'll work:

from __future__ import print_function
import boto3
import os

os.environ['AWS_PROFILE'] = "MyProfile1"
os.environ['AWS_DEFAULT_REGION'] = "us-east-1"

ec2 = boto3.client('ec2')

# Retrieves all regions/endpoints that work with EC2
response = ec2.describe_regions()
print('Regions:', response['Regions'])

Source: https://boto3.readthedocs.io/en/latest/guide/configuration.html#interactive-configuration.

Answer 3

If you have multiple aws profiles in ~/.aws/credentials like...

[Profile 1]
aws_access_key_id = *******************
aws_secret_access_key = ******************************************
[Profile 2]
aws_access_key_id = *******************
aws_secret_access_key = ******************************************

Follow two steps:

1. Make one you want to use as a default using export AWS_DEFAULT_PROFILE=Profile 1 command in terminal.

2. Make sure to run above command in the same terminal from where you use boto3 or you open an editor.[Understand the following scenario]

Scenario:

• If you have two terminal open called t1 and t2.
• And you run the export command in t1 and you open JupyterLab or any other from t2, you will get NoCredentialsError: Unable to locate credentials error.

Solution:

• Run the export command in t1 and then open JupyterLab or any other from the same terminal t1.

Answer 4

I had the same issue and found out that the format of my ~/.aws/credentials file was wrong.

It worked with a file containing:

[default]
aws_access_key_id=XXXXXXXXXXXXXX
aws_secret_access_key=YYYYYYYYYYYYYYYYYYYYYYYYYYY

Note that the profile name must be "[default]". Some official documentation make reference to a profile named "[credentials]", which did not work for me.

Answer 5

I also had the same issue,it can be solved by creating a config and credential file in the home directory. Below show the steps I did to solve this issue.

Create a config file :

touch ~/.aws/config

And in that file I entered the region

[default]
region = us-west-2

Then create the credential file:

touch ~/.aws/credentials

Then enter your credentials

[Profile1]
aws_access_key_id = XXXXXXXXXXXXXXXXXXXX 
aws_secret_access_key = YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY

After set all these, then my python file to connect bucket. Run this file will list all the contents.

import boto3
import os

os.environ['AWS_PROFILE'] = "Profile1"
os.environ['AWS_DEFAULT_REGION'] = "us-west-2"

s3 = boto3.client('s3', region_name='us-west-2')
print("[INFO:] Connecting to cloud")

# Retrieves all regions/endpoints that work with S3

response = s3.list_buckets()
print('Regions:', response)

You can also refer below links:

• Amazon S3 with Python Boto3 Library
• Boto 3 documentation
• Boto3: Amazon S3 as Python Object Store

Answer 6

If you're sure you configure your aws correctly, just make sure the user of the project can read from ./aws or just run your project as a root