Every algorithm you built answers Allow(now) the same way, so they are interchangeable. Today you make that explicit with a Limiter interface and a Replay helper that runs a scripted stream of timestamps through any limiter, returning its allow/deny timeline.
Define the common Limiter interface and a driver that replays a timestamp stream.
Every algorithm in this project - fixed window, sliding log, sliding counter, token
bucket, leaky bucket - exposes the exact same method, Allow(now) Decision. That
shared shape is a Limiter interface, and once it is named, code can accept
any limiter without caring which algorithm it is. Nothing about the limiters
changes; naming the interface just records the contract they already share since
lesson 2.
The payoff is Replay: a driver that takes any Limiter and a scripted list of
request ticks, calls Allow for each in order, and returns the allow/deny timeline
as a slice of booleans. Because it speaks only to the interface, the same helper
drives a fixed window, a sliding counter, or a token bucket unchanged. That is
exactly the tool the capstone needs - a way to push one identical request stream
through several algorithms and line up their timelines. Confirm it on a fixed window
today; tomorrow you point it at three limiters at once.
type Limiter interface {Allow(now int64) Decision}func Replay(l Limiter, times []int64) []bool {out := make([]bool, len(times))for i, t := range times {out[i] = l.Allow(t).Allowed}return out}