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Connect to Object Storage

You can connect to your object storage using an S3-compatible API, an SDK, or the AWS CLI. Below are some examples of commands you can use with these methods. For a full list of compatible commands, refer to S3 API compatibility.

If you currently have a bucket with AWS or GCP and would like to transfer your files from this bucket to Sevalla, please contact our Support Team.

AWS CLI​

Configure your bucket​

aws configure set aws_access_key_id YOUR_ACCESS_KEY
aws configure set aws_secret_access_key YOUR_SECRET_KEY
aws configure set default.s3.signature_version s3v4
aws configure set default.s3.endpoint_url YOUR_ENDPOINT_URL

Generate a pre-signed URL​

aws s3 presign s3://YOUR_BUCKET_NAME/FILENAME --expires-in 3600 --endpoint-url YOUR_ENDPOINT_URL

Upload a file​

aws s3 cp LOCAL_FILENAME s3://YOUR_BUCKET_NAME/ --endpoint-url YOUR_ENDPOINT_URL

Download a file​

aws s3 cp s3://YOUR_BUCKET_NAME/REMOTE_FILENAME DOWNLOADED_FILENAME --endpoint-url YOUR_ENDPOINT_URL

List your bucket objects​

aws s3 ls s3://YOUR_BUCKET_NAME/ --endpoint-url YOUR_ENDPOINT_URL

Boto3 (Python SDK)​

Install Boto3 if you haven’t already:

pip3 install boto3

Enter Python interactive mode:

python3

Connect to your object storage​

import boto3
from botocore.client import Config

# Set up R2 connection
s3 = boto3.client(
    "s3",
    endpoint_url="YOUR_ENDPOINT_URL",
    aws_access_key_id="YOUR_ACCESS_KEY",
    aws_secret_access_key="YOUR_SECRET_KEY",
    config=Config(signature_version="s3v4"),
)

Generate a pre-signed URL​

presigned_url = s3.generate_presigned_url(
    "get_object",
    Params={"Bucket": "YOUR_BUCKET_NAME", "Key": "REMOTE_FILE_NAME"},  # Replace values
    ExpiresIn=3600,  # Expiration time in seconds (e.g., 1 hour)
)

print("Pre-signed URL:", presigned_url)  # Ensure this prints

Upload a file​

s3.upload_file("LOCAL_FILENAME", "YOUR_BUCKET_NAME", "UPLOADED_FILENAME")

Download a file​

s3.download_file("YOUR_BUCKET_NAME", "REMOTE_FILENAME", "DOWNLOADED_FILENAME")

List your bucket objects​

response = s3.list_objects_v2(Bucket="your-bucket-name")
print(response)  # See what files exist