cshelve 0.1.0.dev1

Propulsing the shelve module to the cloud

Cloud Shelve

Cloud Shelve (cshelve) is a Python package that provides a seamless way to store and manage data in the cloud using the familiar Python Shelve interface. It is designed for efficient and scalable storage solutions, allowing you to leverage cloud providers for persistent storage while keeping the simplicity of the shelve API.

Features

• Supports large file storage in the cloud
• Secure data in-transit encryption when using cloud storage
• Fully compatible with Python's shelve API
• Cross-platform compatibility for local and remote storage

Installation

Install cshelve via pip:

pip install cshelve

Usage

The cshelve module strictly follows the official shelve API. Consequently, you can refer to the Python official documentation for general usage examples. Simply replace the shelve import with cshelve, and you're good to go.

Local Storage

Here is an example, adapted from the official shelve documentation, demonstrating local storage usage. Just replace shelve with cshelve:

import cshelve

d = cshelve.open('local.db')  # Open the local database file

key = 'key'
data = 'data'

d[key] = data                 # Store data at the key (overwrites existing data)
data = d[key]                 # Retrieve a copy of data (raises KeyError if not found)
del d[key]                    # Delete data at the key (raises KeyError if not found)

flag = key in d               # Check if the key exists in the database
klist = list(d.keys())        # List all existing keys (could be slow for large datasets)

# Note: Since writeback=True is not used, handle data carefully:
d['xx'] = [0, 1, 2]           # Store a list
d['xx'].append(3)             # This won't persist since writeback=True is not used

# Correct approach:
temp = d['xx']                # Extract the stored list
temp.append(5)                # Modify the list
d['xx'] = temp                # Store it back to persist changes

d.close()                     # Close the database

Remote Storage (e.g., Azure)

To configure remote cloud storage, you need to provide an INI file containing your cloud provider's configuration. The file should have a .ini extension.

Example Azure Configuration

$ cat azure.ini
[default]
provider        = azure
account_url     = https://myaccount.blob.core.windows.net
auth_type       = passwordless
container_name  = mycontainer

Once the INI file is ready, you can interact with remote storage the same way as with local storage. Here's an example using Azure:

import cshelve

d = cshelve.open('azure.ini')  # Open using the remote storage configuration

key = 'key'
data = 'data'

d[key] = data                  # Store data at the key
data = d[key]                  # Retrieve the data
del d[key]                     # Delete the data

flag = key in d                # Check if the key exists in the cloud store
klist = list(d.keys())         # List all keys in the remote storage

d['xx'] = [0, 1, 2]            # Store a list remotely
d['xx'].append(3)              # Changes to the list won't persist

# Correct approach:
temp = d['xx']                 # Extract the stored list
temp.append(5)                 # Modify the list
d['xx'] = temp                 # Store it back to persist changes

d.close()                      # Close the connection to the remote store

More configuration examples for other cloud providers can be found here.

Cloud Providers configuration

Azure

The Azure provider uses Azure Blob Storage as remote storage. The module considers the provided container as dedicated to the application. The impact might be significant. For example, if the flag n is provided to the open function, the entire container will be purged, aligning with the official interface.

Option	Description	Required	Default Value
account_url	The URL of your Azure storage account.	:x:
auth_type	The authentication method to use. Currently, only passwordless is supported.	:x:
container_name	The name of the container in your Azure storage account.	:x:
create_container_if_not_exists	If set to True, the container will be created if it does not already exist. Note: This may impact performance during module initialization.	:white_check_mark:	False

Roadmap

• AWS S3 Support: Integration for AWS S3 storage is planned in upcoming versions.
• Google Cloud Storage Support: Support for Google Cloud Storage is also on the roadmap.

Stay tuned for updates!

Contributing

We welcome contributions from the community! If you'd like to contribute, please read our contributing guidelines for more details on how to get started.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

If you have any questions, issues, or feedback, feel free to [open an issue]https://github.com/Standard-Cloud/cshelve/issues).