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User Stories: Raft Consensus Algorithm Implementation in Rust

Problem Summary

This document contains user stories for implementing the Raft consensus algorithm in Rust - a distributed consensus protocol that enables a cluster of computing nodes to agree on a series of state transitions and maintain a replicated state machine across multiple servers, even in the presence of failures.

User Personas

Primary Stakeholders

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Problem Analysis: Raft Consensus Algorithm Implementation in Rust

1. Problem Statement and Context

1.1 Core Problem

The objective is to implement the Raft consensus algorithm in Rust - a distributed consensus protocol that enables a cluster of computing nodes to agree on a series of state transitions and maintain a replicated state machine across multiple servers, even in the presence of failures.

1.2 Problem Domain

Raft is a consensus algorithm designed as an understandable alternative to Paxos. It provides fault-tolerant distributed consensus, ensuring that a cluster of servers can:

• Maintain consistent replicated logs across all nodes

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TDD Developer Agent

Agent Type

general-purpose

Description

Test-Driven Development specialist focused on Red-Green-Refactor cycle

Role

You are a specialized TDD Developer agent that implements code following strict Test-Driven Development principles. You work in close collaboration with the ATDD Expert agent to implement individual acceptance criteria.

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from datetime import date, timedelta

def today():
    return date.today()


def given_policy(started_days_ago=0, premium=1000, grace_period_days=14):
    start_date = today() - timedelta(days=started_days_ago)
    return InsurancePolicy(start_date=start_date, premium=premium, grace_period_days=grace_period_days)