resilient-python-cache 0.1.1

Python library for syncing ResilientDB data via WebSocket and HTTP with seamless reconnection.

resilient-python-cache

Python library for syncing ResilientDB data via WebSocket and HTTP with seamless reconnection.

resilient-python-cache is a library for establishing and managing real-time synchronization between ResilientDB and MongoDB using WebSocket and HTTP. It includes automatic reconnection, batching, and concurrency management for high-performance syncing.

Features

• Real-time sync between ResilientDB and MongoDB
• Handles WebSocket and HTTP requests with auto-reconnection
• Configurable synchronization intervals and batch processing
• Provides MongoDB querying for ResilientDB transaction data

Installation

To use the library, install it via pip:

pip install resilient-python-cache

Configuration

MongoDB Configuration

The library uses MongoDB to store ResilientDB data. Configure it by specifying:

• uri: MongoDB connection string
• db_name: Database name in MongoDB
• collection_name: Collection name in MongoDB where ResilientDB data is stored

ResilientDB Configuration

For ResilientDB configuration, specify:

• base_url: The base URL for ResilientDB, e.g., resilientdb://localhost:18000
• http_secure: Use HTTPS if set to true
• ws_secure: Use WSS if set to true
• reconnect_interval: Reconnection interval in milliseconds (optional)
• fetch_interval: Fetch interval in milliseconds for periodic syncs (optional)

Usage

1. Syncing Data from ResilientDB to MongoDB

Create a sync script to initialize and start the data synchronization from ResilientDB to MongoDB.

# sync.py

import asyncio
from resilient_python_cache import ResilientPythonCache, MongoConfig, ResilientDBConfig

async def main():
    mongo_config = MongoConfig(
        uri="mongodb://localhost:27017",
        db_name="myDatabase",
        collection_name="myCollection"
    )

    resilient_db_config = ResilientDBConfig(
        base_url="resilientdb://crow.resilientdb.com",
        http_secure=True,
        ws_secure=True
    )

    cache = ResilientPythonCache(mongo_config, resilient_db_config)

    cache.on("connected", lambda: print("WebSocket connected."))
    cache.on("data", lambda new_blocks: print("Received new blocks:", new_blocks))
    cache.on("error", lambda error: print("Error:", error))
    cache.on("closed", lambda: print("Connection closed."))

    try:
        await cache.initialize()
        print("Synchronization initialized.")

        try:
            await asyncio.Future()  # Run indefinitely
        except asyncio.CancelledError:
            pass

    except Exception as error:
        print("Error during sync initialization:", error)
    finally:
        await cache.close()

if __name__ == "__main__":
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("Interrupted by user")

This script will:

• Initialize the connection to MongoDB and ResilientDB
• Continuously sync new blocks received from ResilientDB to MongoDB

API Documentation

Class ResilientPythonCache

• constructor(mongo_config: MongoConfig, resilient_db_config: ResilientDBConfig):

  • Initializes the sync object with MongoDB and ResilientDB configurations.

• initialize(): Connects to MongoDB, fetches initial blocks, starts periodic fetching, and opens the WebSocket connection to ResilientDB.

• close(): Closes the MongoDB and WebSocket connections, stopping the periodic fetching.

MongoDB Collection Structure

Each document in the MongoDB collection corresponds to a ResilientDB block, containing:

• id: Block identifier
• createdAt: Timestamp for block creation
• transactions: Array of transactions in the block, with details for each transaction’s inputs, outputs, and asset metadata

License

This library is licensed under the Apache License, Version 2.0.

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Enjoy using resilient-python-cache to seamlessly synchronize your ResilientDB data to MongoDB with real-time updates and efficient querying!