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A Python package for managing storage

Project description

storage-bridge

A Python library providing a typeclass-based abstraction for managing diverse storage backends. Storage Manager simplifies and standardizes interactions with storage systems, enabling seamless access to local files, in-memory storage, and cloud-based resources.

Key Features Unified Interface: Interact with various storage backends using a consistent API. Extensible Framework: Add custom storage backends with minimal implementation effort. Mock-Friendly: Built-in support for testing with mock storage or local solutions. Batch and Transactional Support: Perform bulk operations or enable transactional workflows. Why Use Storage Manager? Modern applications often require integration with multiple storage systems—local, remote, or in-memory. Storage Manager homogenizes these interactions, letting developers focus on application logic rather than backend differences.

Installation

Install via pip:

pip install storage_bridge

Usage

Core API

The Storage typeclass provides the core methods:

save(key, value): Save a value under a key. load(key): Retrieve a value by key. delete(key): Remove a key-value pair. list_keys(): List all keys in the storage. Additional methods like exists, update, save_batch, and backup are derived from these core methods.

Example: File-Based Storage

from storage_bridge.implementation import FileStorage

# Create a file-based storage backend
store = FileStorage(filepath='data.json')

# Save and load data
store.save('user', {'name': 'Alice', 'age': 30})
print(store.load('user'))  # Output: {'name': 'Alice', 'age': 30}

# List keys
print(store.list_keys())  # Output: ['user']

# Delete data
store.delete('user')

Example: In-Memory Storage

from storage_bridge.implementation import MemoryStorage

# Create an in-memory storage backend
memory_store = MemoryStorage()

# Save and retrieve data
memory_store.save('session', {'token': 'abc123'})
print(memory_store.load('session'))  # Output: {'token': 'abc123'}

Testing with Mock Storage

from storage_bridge.implementation import MemoryStorage

def test_storage():
    mock_store = MemoryStorage()
    mock_store.save('test_key', 'test_value')
    assert mock_store.load('test_key') == 'test_value'
    assert 'test_key' in mock_store.list_keys()
    mock_store.delete('test_key')

Extending Storage Manager

To create a custom storage backend, subclass Storage and implement the core methods (save, load, delete, list_keys).

Example: Custom Storage

from storage_bridge.typeclass import Storage

class CustomStorage(Storage):
    def __init__(self):
        self.data = {}

    def save(self, key, value):
        self.data[key] = value

    def load(self, key):
        if key not in self.data:
            raise KeyError(f"Key '{key}' not found.")
        return self.data[key]

    def delete(self, key):
        if key in self.data:
            del self.data[key]
        else:
            raise KeyError(f"Key '{key}' not found.")

    def list_keys(self):
        return list(self.data.keys())

Roadmap

Add cloud storage integrations (AWS S3, Google Cloud Storage, Azure Blob Storage). Introduce advanced features like data versioning and compression. Expand support for transactional and distributed workflows.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your changes.

License

storage-bridge is licensed under the MIT License. See LICENSE for more details.

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