Skip to main content

A boto3-like SDK for OpenS3

Project description

OpenS3 SDK

Python 3.6+ License: MIT PyPI version

A boto3-compatible Python SDK for interacting with OpenS3, a local implementation of Amazon S3-like object storage functionality. This SDK provides a familiar interface for developers used to AWS boto3, making it easy to transition between AWS S3 and OpenS3.

⚠️ WARNING: You must have the OpenS3-server set up and running for this SDK to work properly. Please refer to the OpenS3-server repository for server setup instructions.

Table of Contents

Features

  • Boto3-compatible Interface: Familiar API for AWS developers
  • Bucket Operations: Create, list, and delete buckets
  • Object Operations: Upload, download, list, and delete objects
  • File Utilities: Convenient methods for file uploads and downloads
  • Flexible Authentication: Support for both AWS-style credentials and basic auth tuples
  • Consistent Responses: Response structures match boto3 format

Installation

From PyPI (Recommended)

# Install from PyPI
pip install openS3-sdk

From Source

# Clone the repository
git clone https://github.com/SourceBox-LLC/OpenS3-SDK.git
cd opens3-sdk

# Create and activate a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Install the SDK in development mode
pip install -e .

From GitHub

pip install git+https://github.com/SourceBox-LLC/OpenS3-SDK.git

Note: While the package name on PyPI is openS3-sdk, you'll still import it using import opens3 in your code.

Quick Start

import opens3

# Initialize a client
s3 = opens3.client('s3', 
                  endpoint_url='http://localhost:8000',
                  aws_access_key_id='admin',
                  aws_secret_access_key='password')

# Create a bucket
s3.create_bucket(Bucket='my-bucket')

# Upload a file
s3.upload_file('local_file.txt', 'my-bucket', 'remote_file.txt')

# Download a file
s3.download_file('my-bucket', 'remote_file.txt', 'downloaded_file.txt')

Client Configuration

Initialization

The OpenS3 client can be initialized with various configurations:

import opens3

# Basic initialization with defaults (uses admin/password auth)
s3 = opens3.client('s3', endpoint_url='http://localhost:8000')

# AWS-style credential parameters
s3 = opens3.client('s3',
                  endpoint_url='http://localhost:8000',
                  aws_access_key_id='admin',
                  aws_secret_access_key='password')

# Direct auth tuple
s3 = opens3.client('s3',
                  endpoint_url='http://localhost:8000',
                  auth=('admin', 'password'))

Configuration Parameters

Parameter Type Description Default
endpoint_url str URL to the OpenS3 server 'http://localhost:8000'
aws_access_key_id str Username for authentication 'admin'
aws_secret_access_key str Password for authentication 'password'
auth tuple Direct auth tuple (username, password) None

Bucket Operations

Create a Bucket

response = s3.create_bucket(Bucket='my-bucket')

Parameters:

  • Bucket: (Required) Name of the bucket to create

Response:

{
    'ResponseMetadata': {
        'HTTPStatusCode': 201
    },
    'Location': '/my-bucket'
}

List Buckets

response = s3.list_buckets()

Response:

{
    'Buckets': [
        {
            'Name': 'my-bucket',
            'CreationDate': datetime.datetime(2025, 5, 12, 17, 0, 0)
        },
        # More buckets...
    ],
    'Owner': {'ID': 'admin'}
}

Delete a Bucket

response = s3.delete_bucket(Bucket='my-bucket')

Parameters:

  • Bucket: (Required) Name of the bucket to delete

Response:

{
    'ResponseMetadata': {
        'HTTPStatusCode': 200
    }
}

Object Operations

Upload an Object

Using put_object (Memory)

response = s3.put_object(
    Bucket='my-bucket',
    Key='hello.txt',
    Body=b'Hello World!'
)

Parameters:

  • Bucket: (Required) Name of the bucket
  • Key: (Required) Object key name
  • Body: (Required) Object data - can be bytes or a file-like object

Response:

{
    'ResponseMetadata': {
        'HTTPStatusCode': 201
    },
    'ETag': '"fake-etag"'
}

Using upload_file (File)

response = s3.upload_file('local_file.txt', 'my-bucket', 'remote_file.txt')

Parameters:

  • Filename: (Required) Path to the local file
  • Bucket: (Required) Name of the bucket
  • Key: (Required) Object key name in the bucket

List Objects

response = s3.list_objects_v2(
    Bucket='my-bucket',
    Prefix='folder/'  # Optional prefix
)

Parameters:

  • Bucket: (Required) Name of the bucket
  • Prefix: (Optional) Limit results to keys beginning with this prefix

Response:

{
    'Contents': [
        {
            'Key': 'folder/file1.txt',
            'LastModified': datetime.datetime(2025, 5, 12, 17, 0, 0),
            'Size': 12,
            'ETag': '"fake-etag"',
            'StorageClass': 'STANDARD'
        },
        # More objects...
    ],
    'Name': 'my-bucket',
    'Prefix': 'folder/',
    'MaxKeys': 1000,
    'KeyCount': 1,
    'IsTruncated': False
}

Download an Object

Using get_object (Memory)

response = s3.get_object(Bucket='my-bucket', Key='hello.txt')
content = response['Body'].content  # Access the binary content
text = content.decode('utf-8')      # Convert to text if needed

Parameters:

  • Bucket: (Required) Name of the bucket
  • Key: (Required) Object key name

Response:

{
    'Body': <Response object>,
    'ContentLength': 12,
    'LastModified': datetime.datetime(2025, 5, 12, 17, 0, 0),
    'ContentType': 'text/plain'
}

Using download_file (File)

response = s3.download_file('my-bucket', 'hello.txt', 'downloaded.txt')

Parameters:

  • Bucket: (Required) Name of the bucket
  • Key: (Required) Object key name
  • Filename: (Required) Path where the file should be saved

Delete an Object

response = s3.delete_object(Bucket='my-bucket', Key='hello.txt')

Parameters:

  • Bucket: (Required) Name of the bucket
  • Key: (Required) Object key name

Response:

{
    'ResponseMetadata': {
        'HTTPStatusCode': 200
    }
}

Error Handling

The SDK provides boto3-compatible error handling. Here's how to handle common errors:

from opens3.exceptions import ClientError, NoSuchBucket, NoSuchKey

try:
    s3.get_object(Bucket='non-existent-bucket', Key='file.txt')
except NoSuchBucket as e:
    print(f"Bucket does not exist: {e}")
except NoSuchKey as e:
    print(f"Object does not exist: {e}")
except ClientError as e:
    print(f"Error: {e.response['Error']['Message']}")

Response Structure

OpenS3 SDK responses mirror the structure of boto3 responses to provide compatibility. Here's a breakdown of common response elements:

  • ResponseMetadata: Contains metadata about the request, including HTTPStatusCode
  • Operation-specific data (e.g., Buckets for list_buckets, Contents for list_objects_v2)

Examples

Working with Buckets

import opens3

s3 = opens3.client('s3', endpoint_url='http://localhost:8000')

# Create multiple buckets
s3.create_bucket(Bucket='bucket1')
s3.create_bucket(Bucket='bucket2')

# List all buckets
response = s3.list_buckets()
for bucket in response['Buckets']:
    print(f"Bucket: {bucket['Name']}, Created: {bucket['CreationDate']}")

# Clean up - delete buckets
s3.delete_bucket(Bucket='bucket1')
s3.delete_bucket(Bucket='bucket2')

Working with Objects

import opens3

s3 = opens3.client('s3', endpoint_url='http://localhost:8000')

# Create a bucket for our objects
s3.create_bucket(Bucket='files')

# Upload multiple objects
s3.put_object(Bucket='files', Key='doc1.txt', Body=b'Document 1 content')
s3.put_object(Bucket='files', Key='doc2.txt', Body=b'Document 2 content')
s3.put_object(Bucket='files', Key='folder/doc3.txt', Body=b'Document 3 content')

# List all objects
response = s3.list_objects_v2(Bucket='files')
print(f"All objects in bucket 'files':")
for obj in response['Contents']:
    print(f"- {obj['Key']} ({obj['Size']} bytes)")

# List objects with prefix
response = s3.list_objects_v2(Bucket='files', Prefix='folder/')
print(f"\nObjects in 'folder/':")
for obj in response['Contents']:
    print(f"- {obj['Key']}")

# Download an object
response = s3.get_object(Bucket='files', Key='doc1.txt')
print(f"\nContent of doc1.txt: {response['Body'].content.decode('utf-8')}")

Development

Running Tests

# Install test dependencies
pip install pytest

# Run the test suite
python -m pytest

Building the Package

pip install build twine
python -m build

Compatibility with boto3

This SDK aims to provide a compatible interface with boto3 for the most common S3 operations. It's designed to make it easy for developers to switch between AWS S3 and OpenS3 with minimal code changes.

Some notable differences:

  • Only core S3 operations are currently supported
  • Some advanced features like multipart uploads and presigned URLs are not yet implemented
  • The resource interface (opens3.resource()) is not yet available

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

opens3_sdk-0.1.5.tar.gz (10.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

opens3_sdk-0.1.5-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file opens3_sdk-0.1.5.tar.gz.

File metadata

  • Download URL: opens3_sdk-0.1.5.tar.gz
  • Upload date:
  • Size: 10.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for opens3_sdk-0.1.5.tar.gz
Algorithm Hash digest
SHA256 ad1421decd7d2270ff920f8f368b0c203c28da4441c23ba84464d9b55b422446
MD5 1f13e461ef7998fe3c45bfb4bd00b693
BLAKE2b-256 23b4382a35aba45d0ffdd7dd4da782627fa0bfe76833333cb9da23dff7252aee

See more details on using hashes here.

File details

Details for the file opens3_sdk-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: opens3_sdk-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 10.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for opens3_sdk-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f3f96b0f8b2f7d28787c8e61cc6bab9f555f14293bd597d0326ef1fe897a5936
MD5 903a99554b2dbe5728f27dda78019fd2
BLAKE2b-256 58edb6a74a78243ee55642de5014681ffc649b0e13f3f7f44e8f1192b45f4d2c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page