I'm trying to upload a file to a specific location using boto and python. I'm accessing using something to this effect:
from boto.s3.connection import S3Connection
from boto.s3.key import Key
conn = S3Connection(AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
bucket = conn.get_bucket('the_bucket_name')
for key in bucket:
print key.name
Here's the trick. I have been provisioned credentials to a 'folder' within a bucket. per this - Amazon S3 boto - how to create a folder? I understand that there actually aren't folders in s3, rather keys like "foo/bar/my_key.txt". when i try to execute get_bucket() I get
boto.exception.S3ResponseError: S3ResponseError: 403 Forbidden
because i dont actually have credentials to the base bucket, rather a subset of the bucket keys. my_bucket/the_area_I_have_permission/*
Does anyone know how I could pass the specific 'area' in the bucket i have access to in the connection step? or an alternative method i can use to access my_bucket/the_area_I_have_permission/* ?
Does this help :
bucket = conn.get_bucket('the_bucket_name',validate=False)
key = bucket.get_key("ur_key_name")
if key is not None:
print key.get_contents_as_string()
keys = bucket.list(prefix='the_area_I_have_permission')
for key in keys:
print key.name
Found the problem. RequestTimeTooSkewed Error using PHP S3 Class
The issue was my VM date was off and amazon uses the date to validate the request. 1+ to #bdonlan.
Related
I'm trying to view S3 bucket list through a python scripts using boto3. Credential file and config file is available in the C:\Users\user1.aws location. Secret access and access key available there for user "vscode". But unable to run the script which return exception message as
"botocore.exceptions.NoCredentialsError: Unable to locate credentials".
Code sample follows,
import boto3
s3 = boto3.resource('s3')
for bucket in s3.buckets.all():
print(bucket.name)
Do I need to specify user mentioned above ("vscode") ?
Copied the credential and config file to folder of python script is running. But same exception occurs.
When I got this error, I replaced resource with client and also added the secrets during initialization:
client = boto3.client('s3', region_name=settings.AWS_REGION, aws_access_key_id=settings.AWS_ACCESS_KEY_ID,
aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY)
You can try with boto3.client('s3') instead of boto3.resource('s3')
I've been given a path to an S3 bucket and a key to access it, how can I access the bucket? and how can I do it from Python?
The name looks like this solutions/accounts/services and the key is some string.
I tried doing this:
import boto3
response = client.get_object(
Bucket='solutions',
Key='accounts/services'
)
print(response)
This yields:
botocore.exceptions.ClientError: An error occurred (AccessDenied) when calling the GetObject operation: Access Denied
I was provided a key to this S3 bucket in the form of : OKIA4RBSCI236N869IJG
Where does this key need to be inserted?
The Key should include all the folders. Example: accounts/services/file.txt.
The Bucket name should only be the bucket name. Example: solutions.
This will get you s3://solutions/accounts/services/file.txt.
I am posting this here because I found it really hard to find the function to get all objects from our s3 bucket using python. When I tried to find get_object_data function, I was directed to downloading the object function.
So, how do we get the data of all the objects in our AWS s3 bucket using boto3(aws sdk for python)?
import boto3 to your python shell
make a connection to your AWS account and specify the resource(s3-bucket here) you want to access?
(make sure that the IAM credentials you are giving have access to that resource)
get the data required
The code looks something like this
import boto3
s3_resource = boto3.resource(service_name='s3',
region_name='<your bucket region>'
aws_access_key_id='<your access key id>'
aws_secret_access_key='<your secret access key>')
a = s3_resource.Bucket('<your bucket name>')
for obj in a.objects.all():
#object URL
print("https://<your bucket name>.s3.<your bucket region>.amazonaws.com/" + obj.key)
#if you want to print all the data of object, just print obj
On boto I used to specify my credentials when connecting to S3 in such a way:
import boto
from boto.s3.connection import Key, S3Connection
S3 = S3Connection( settings.AWS_SERVER_PUBLIC_KEY, settings.AWS_SERVER_SECRET_KEY )
I could then use S3 to perform my operations (in my case deleting an object from a bucket).
With boto3 all the examples I found are such:
import boto3
S3 = boto3.resource( 's3' )
S3.Object( bucket_name, key_name ).delete()
I couldn't specify my credentials and thus all attempts fail with InvalidAccessKeyId error.
How can I specify credentials with boto3?
You can create a session:
import boto3
session = boto3.Session(
aws_access_key_id=settings.AWS_SERVER_PUBLIC_KEY,
aws_secret_access_key=settings.AWS_SERVER_SECRET_KEY,
)
Then use that session to get an S3 resource:
s3 = session.resource('s3')
You can get a client with new session directly like below.
s3_client = boto3.client('s3',
aws_access_key_id=settings.AWS_SERVER_PUBLIC_KEY,
aws_secret_access_key=settings.AWS_SERVER_SECRET_KEY,
region_name=REGION_NAME
)
This is older but placing this here for my reference too. boto3.resource is just implementing the default Session, you can pass through boto3.resource session details.
Help on function resource in module boto3:
resource(*args, **kwargs)
Create a resource service client by name using the default session.
See :py:meth:`boto3.session.Session.resource`.
https://github.com/boto/boto3/blob/86392b5ca26da57ce6a776365a52d3cab8487d60/boto3/session.py#L265
you can see that it just takes the same arguments as Boto3.Session
import boto3
S3 = boto3.resource('s3', region_name='us-west-2', aws_access_key_id=settings.AWS_SERVER_PUBLIC_KEY, aws_secret_access_key=settings.AWS_SERVER_SECRET_KEY)
S3.Object( bucket_name, key_name ).delete()
I'd like expand on #JustAGuy's answer. The method I prefer is to use AWS CLI to create a config file. The reason is, with the config file, the CLI or the SDK will automatically look for credentials in the ~/.aws folder. And the good thing is that AWS CLI is written in python.
You can get cli from pypi if you don't have it already. Here are the steps to get cli set up from terminal
$> pip install awscli #can add user flag
$> aws configure
AWS Access Key ID [****************ABCD]:[enter your key here]
AWS Secret Access Key [****************xyz]:[enter your secret key here]
Default region name [us-west-2]:[enter your region here]
Default output format [None]:
After this you can access boto and any of the api without having to specify keys (unless you want to use a different credentials).
If you rely on your .aws/credentials to store id and key for a user, it will be picked up automatically.
For instance
session = boto3.Session(profile_name='dev')
s3 = session.resource('s3')
This will pick up the dev profile (user) if your credentials file contains the following:
[dev]
aws_access_key_id = AAABBBCCCDDDEEEFFFGG
aws_secret_access_key = FooFooFoo
region=op-southeast-2
There are numerous ways to store credentials while still using boto3.resource().
I'm using the AWS CLI method myself. It works perfectly.
https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html?fbclid=IwAR2LlrS4O2gYH6xAF4QDVIH2Q2tzfF_VZ6loM3XfXsPAOR4qA-pX_qAILys
you can set default aws env variables for secret and access keys - that way you dont need to change default client creation code - though it is better to pass it as a parameter if you have non-default creds
I have a django web app and I want to allow it to download files from my s3 bucket.
The files are not public. I have an IAM policy to access them.
The problem is that I do NOT want to download the file on the django app server and then serve it to download on the client. That is like downloading twice. I want to be able to download directly on the client of the django app.
Also, I don't think it's safe to pass my IAM credentials in an http request so I think I need to use a temporary token.
I read:
http://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_use-resources.html
but I just do not understand how to generate a temporary token on the fly.
A python solution (maybe using boto) would be appreciated.
With Boto (2), it should be really easy to generate time-limited download URLs, should your IAM policy have the proper permissions. I am using this approach to serve videos to logged-in users from private S3 bucket.
from boto.s3.connection import S3Connection
conn = S3Connection('<aws access key>', '<aws secret key>')
bucket = conn.get_bucket('mybucket')
key = bucket.get_key('mykey', validate=False)
url = key.generate_url(86400)
This would generate a download URL for key foo in the given bucket, that is valid for 24 hours (86400 seconds). Without validate=False Boto 2 will check that the key actually exists in the bucket first, and if not, will throw an exception. With these server-controlled files it is often an unnecessary extra step, thus validate=False in the example
In Boto3 the API is quite different:
s3 = boto3.client('s3')
# Generate the URL to get 'key-name' from 'bucket-name'
url = s3.generate_presigned_url(
ClientMethod='get_object',
Params={
'Bucket': 'mybucket',
'Key': 'mykey'
},
expires=86400
)