michaelkernaghan / adaptive-issuance-tracker

For tracking Tezos Adaptive Issuance on a webpage

Tezos Adaptive Issuance Script

Description

This repository contains the adaptive_issuance.sh script, which monitors various Tezos blockchain parameters, including cycle information, balances, and staking data. It provides a comprehensive set of outputs that include balances, staking statuses, and detailed cycle progression statistics for the Tezos blockchain.

Features

• Cycle Tracking: Displays current cycle, level, and time until the next cycle.
• Balance Management: Retrieves and displays liquid, staked, and total balances for predefined Tezos addresses.
• Staking Overview: Manages staking information, including staking parameters and requests for regular addresses and bakers.
• Adaptive Issuance Tracking: Monitors parameters related to the adaptive issuance mechanism of the Tezos blockchain.
• Color-coded Outputs: Enhances readability and clarity by utilizing colour-coded outputs for different data types.

Prerequisites

• Tezos Client: The script requires octez-client and octez-admin-client to be installed on your machine.
• jq: A lightweight and flexible command-line JSON processor.

Installation

Clone this repository to your local machine using the following:

git clone https://github.com/michaelkernaghan/adaptive-issuance-tracker

Usage

Navigate to the script directory and run the script with:

chmod +x adaptive_issuance.sh
./adaptive_issuance.sh

Configuration

The script uses predefined Tezos addresses and a baker address, which can be modified as needed:

• Staker Addresses: Modify the staker_addresses array with the desired Tezos addresses.
• Baker Address: Set the baker_address variable to the baker's Tezos address.

Dependencies

Ensure you have jq installed:

sudo apt-get install jq

Contributing

I want you to know that contributions are welcome. Please fork the repository and submit pull requests with your changes.

License

Distributed under the MIT License. See the LICENSE file for more information.

Author

Michael Kernaghan

Acknowledgements

Tezos community for continuous support and guidance. Grimoire LLM