py-redis-ds 0.0.0a1

Drop-in replacements for Python data structures backed by Redis for shared access.

Redis-Backed Data Structures for Python

Redis-backed Python data structures that function like built-ins but store data on a Redis server, enabling shared access across distributed systems.

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🚀 Features

• Drop-in Replacements: Use familiar Python data structures (list, dict, set, etc.) with minimal changes to your code.
• Redis-Powered: Data is stored on the Redis server, enabling easy sharing across processes, services, or systems.
• Seamless Integration: Works like native Python data structures while leveraging Redis for distributed use cases.

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📥 Installation

Install the library using pip:

pip install py_redis_ds

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💡 Usage

Here’s a quick example of how to use a Redis-backed list:

from py_redis_ds.builtins import List
from redis import Redis

redis = Redis()

# Initialize a Redis-backed list
rlist = List(name="my_shared_list", redis=redis)

# Add elements
rlist.append("Hello")
rlist.append("World")

# Access elements
print(rlist[0])  # Output: Hello

# Iterate through the list
for item in rlist:
    print(item)

# Shared access in another script or service
rlist2 = List(name="my_shared_list", redis=redis)
print(rlist2[1])  # Output: World

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📚 Supported Data Structures

Data Structure	Redis-Backed Equivalent
list	py_redis_ds.builtins.List
dict	py_redis_ds.builtins.Dict
set	py_redis_ds.builtins.Set
queue.Queue	py_redis_ds.queue.Queue
collections.deque	py_redis_ds.collections.Deque
collections.defaultdict	py_redis_ds.collections.DefaultDict
(Support for more data structures coming soon!)

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🌟 Why Use Redis-Backed Structures?

• Shared State: Easily share data between processes, microservices, or distributed systems.
• Scalability: Offload data storage to Redis, reducing memory usage in individual processes.
• Simplicity: Use familiar Python syntax while leveraging Redis's power.

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🤝 Contributing

Contributions are welcome! Please check out our CONTRIBUTING.md for guidelines.

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📜 License

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

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We’re excited to see how you use Redis-Backed Data Structures! If you have any questions or feedback, feel free to open an issue or start a discussion.