statefulpy 0.1.3

Transparent persistent state management for Python functions

StatefulPy

StatefulPy provides transparent, persistent state management for regular Python functions.
MIGHT NOT BE FULLY FUNCTIONAL YET, STILL BEING WORKED ON

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Features

• Simple Decorator API: Add persistent state to any function with a decorator.
• Multiple Backends: Store state in SQLite (embedded) or Redis (distributed).
• Automatic State Management: State is automatically loaded, saved, and synchronized.
• Concurrency Safe: Locks ensure state consistency across threads and processes.
• Flexible Serialization: Supports Pickle, JSON, and custom serializers.
• CLI Tools: Manage, migrate, and monitor your function state easily.

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Installation

pip install statefulpy

For Redis support:

pip install statefulpy[redis]

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Security Warning ⚠️

The default serializer used by StatefulPy is Pickle for performance reasons.

However, Pickle is insecure if processing untrusted input.

For public-facing or untrusted data applications, use the JSON serializer instead:

@stateful(backend="sqlite", db_path="state.db", serializer="json")
def my_function():
    # Your function code...

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Quickstart Example

from statefulpy import stateful

@stateful(backend="sqlite", db_path="counter.db")
def counter():
    # Initialize state if needed
    if "count" not in counter.state:
        counter.state["count"] = 0
    
    # Update state
    counter.state["count"] += 1
    
    return counter.state["count"]

# The counter value persists across runs
print(counter())  # 1 (first run)
print(counter())  # 2
# Restart your program...
print(counter())  # 3 (value loaded from storage)

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Backend Options

SQLite (Default)

@stateful(backend="sqlite", db_path="state.db", serializer="pickle")
def my_function():
    # Your function code...

Redis

@stateful(backend="redis", redis_url="redis://localhost:6379/0")
def my_function():
    # Your function code...

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Global Configuration

from statefulpy import set_backend

# Set default backend for all @stateful functions
set_backend("redis", redis_url="redis://localhost:6379/0")

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Serialization Formats

StatefulPy supports multiple serialization formats depending on your needs:

• Using JSON serializer (Recommended for security):

  @stateful(backend="sqlite", db_path="state.db", serializer="json")
  def my_function():
      # Your function code...
  

• Using Pickle serializer (Faster, but only for trusted data):

  ⚠️ Warning: Only use Pickle when you fully trust your data sources.

  @stateful(backend="sqlite", db_path="state.db", serializer="pickle")
  def my_function():
      # Your function code...
  

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Command-Line Interface (CLI)

StatefulPy includes CLI utilities for managing backends:

• Initialize storage:

  statefulpy init --backend sqlite --path state.db
  

• Migrate between backends:

  statefulpy migrate --from sqlite --to redis --from-path state.db --to-path redis://localhost:6379/0
  

• Check backend health:

  statefulpy healthcheck --backend redis --path redis://localhost:6379/0
  

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License

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