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CLI tool for deploying and managing Powerloom Snapshotter nodes

Project description

Powerloom Snapshotter CLI

A powerful command-line interface for deploying and managing Powerloom Snapshotter nodes. Simplifies the process of running multiple snapshotter instances across different chains and data markets.

Features

  • 🚀 Interactive Shell Mode - Eliminates startup delays for multiple commands
  • 📦 Multi-Instance Management - Deploy and manage multiple snapshotter nodes
  • 🔧 Easy Configuration - Store credentials per chain/market combination
  • 🔍 Built-in Diagnostics - Check system health and troubleshoot issues
  • 🐳 Docker Integration - Automated container and network management
  • 🔐 Secure Credential Storage - Namespaced environment configurations

Installation

# Install using pip
pip install powerloom-snapshotter-cli

# Install using pipx (recommended)
pipx install powerloom-snapshotter-cli

Quick Start

Interactive Shell (Recommended)

# Start interactive shell for faster command execution
powerloom-snapshotter-cli shell

# In shell mode:
powerloom-snapshotter> configure
powerloom-snapshotter> deploy
powerloom-snapshotter> status

Direct Commands

# Configure credentials for a chain/market
powerloom-snapshotter-cli configure --env mainnet --market uniswapv2

# Deploy a snapshotter instance
powerloom-snapshotter-cli deploy

# Check status of running instances
powerloom-snapshotter-cli status

# View detailed status
powerloom-snapshotter-cli status --env mainnet --market uniswapv2

Available Commands

  • configure - Set up chain and market-specific credentials
  • deploy - Deploy a new snapshotter instance
  • status - View status of deployed instances
  • list - Display available chains and data markets
  • diagnose - Run system diagnostics
  • identity - Manage multiple configurations
  • shell - Start interactive mode

Command Aliases

The CLI is available through multiple aliases:

  • powerloom-snapshotter-cli (full name)
  • snapshotter (short)

Supported Chains & Markets

  • Mainnet: Ethereum mainnet data markets
  • Devnet: Development network for testing
  • Multiple data markets including UniswapV2, AaveV3, and more

Requirements

  • Python 3.12 or higher
  • Docker and Docker Compose
  • Linux or macOS (Windows support via WSL)

Documentation

License

MIT License - see LICENSE for details.

Support

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