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Go kit

go-kit

Gophers by the great site gopherize.me

Introduction

Welcome gophers !

This is a higher level, personal standard lib. A little space in the Git universe where its intended the unix philosophy to take place.

Disclaimer

The uses of this module are under discovery. There's no stability promise. This means interfaces could change between commits. No other versioning its intended at this moment.

Motivation

Software developers often work with similar patterns over and over again. This isn't exclusive for production code, but also testing patterns and tools.

Go promotes the creation of small and cohesive tools. This repo is a space for that kind of small, reusable packages across projects.

Its good to mention, that sometimes its preferable to copy some code than depending on third party libs. Feel free to just use this repo as an example.

How to use this library

Always use the following import url:

go get go.eloylp.dev/kit

Table of contents

Archive tools

We can create a tar.gz file given any number of paths, which can be files or directories:

import (
	"fmt"

	"go.eloylp.dev/kit/archive"
)

func main() {
	b, err := archive.TARGZ("/tmp/test.tar.gz", "/home/user/Pictures", "/home/user/notes.txt")
	if err != nil {
		panic(fmt.Errorf("error creating tar: %v", err))
	}
	fmt.Printf("tar created. %v bytes of content were written\n", b)
}

The above feels familiar to how we would use the original tar command.

In order to decompress the tar.gz file we can just use the extraction function:

package main

import (
	"fmt"

	"go.eloylp.dev/kit/archive"
)

func main() {
	b, err := archive.ExtractTARGZ("/home/user/destination", "/tmp/test.tar.gz")
	if err != nil {
		panic(fmt.Errorf("error extracting tar: %v", err))
	}
	fmt.Printf("tar extracted. %v bytes of content were written\n", b)
}

Finally, if you need a stream based interface, take a look to the Stream functions in the same package.

Data Fanout

Current implementation of Go channels does not allow to broadcast a single value to all consumers. This fanout solution comes to rescue:

package main

import (
	"fmt"
	"io"
	"sync"

	"go.eloylp.dev/kit/flow"
)

func main() {

	// A fanout of integers with buffer size 10.
	fanout := flow.NewFanout[int](10)

	var wg sync.WaitGroup

	// Bring up consumer 1
	wg.Add(1)
	consume1, cancel1 := fanout.Subscribe()
	go func() {
		defer cancel1()
		for {
			elem, err := consume1()
			if err == io.EOF {
				break
			}

			fmt.Printf("consumer 1, received: %v\n", elem.Elem)
		}
		wg.Done()
	}()

	// Same way, bring up consumer 2
	wg.Add(1)
	consume2, cancel2 := fanout.Subscribe()

	go func() {
		defer cancel2()
		for {
			elem, err := consume2()
			if err == io.EOF {
				break
			}

			fmt.Printf("consumer 2, received: %v\n", elem.Elem)
		}
		wg.Done()
	}()

	// Push some elements to the fanout.
	fanout.Publish(1)
	fanout.Publish(2)
	fanout.Publish(3)

	// Shutdown consumers
	cancel1()
	cancel2()

	// Wait for everything
	wg.Wait()
}

Result:

consumer 2, received: 1
consumer 2, received: 2
consumer 2, received: 3
consumer 1, received: 1
consumer 1, received: 2
consumer 1, received: 3

If the buffer size of an specific consumer its exceeded, the oldest element will be discarded. This can cause slow consumers to loose data. This could be configurable in the future, though.

See internal code documentation for complete API and other details.

Filesystem tools

A copy utility can be found at filesys.Copy() . It will recursively copy files and directories using streams of data, so low memory consumption. It also accepts relative paths.

package main

import (
	"go.eloylp.dev/kit/filesys"
)

func main() {

	source := "/home/user/data"
	destination := "/home/user/backup"

	if err := filesys.Copy(source, destination); err != nil {
		panic(err)
	}

	// Now data and all its contents are copied to /home/user/backup
}

HTTP Middlewares

HTTP middlewares allow us to execute common logic before/after the handlers one, normally providing all of them the same pre-processing/post-processing logic.

All this middlewares respect the standard library interfaces, so it should not be a problem to use them with your favorite's HTTP lib also. As an example, in the Gin library, theres a gin.WrapH utility that would help you to do the conversion from an http.Handler to an gin.HandlerFunc. Which can be used with the Gin interfaces later.

Auth

The basic Auth middleware provides a way to authenticate a specific set of paths and methods with a given auth configuration. It also allows multiple sets of configurations. Lets do a walk-through with a full example.

package main

import (
	"net/http"

	"go.eloylp.dev/kit/http/middleware"
)

func main() {

	// Setup the configuration function, that will return all
	// configurations. For this basic case we only need one.
	cfg := middleware.NewAuthConfig().
		WithPathRegex("^/protected.*").
		WithMethods(middleware.AllMethods()).
		// The following hash can be generated like: https://unix.stackexchange.com/questions/307994/compute-bcrypt-hash-from-command-line
		WithAuth(middleware.Authorization{
			"user": "$2y$10$mAx10mlJ/UNbQJCgPp2oLe9n9jViYl9vlT0cYI3Nfop3P3bU1PDay", // unencrypted is user:password.
		})

	cfgs := []*middleware.AuthConfig{cfg}
	cfgFunc := middleware.AuthConfigFunc(func() []*middleware.AuthConfig {
		return cfgs
	})

	// Configure the middleware with already setup config function.
	authMiddleware := middleware.AuthChecker(cfgFunc)

	// Prepare the router. In this example, we will use the standard library.
	// More advanced routers would allow us to define this middleware for
	// all routes globally.
	mux := http.NewServeMux()
	mux.Handle("/", handler())
    // `middleware.For()` is a handler chaining method. It will chain the passed lis of middlewares to the provided handler. Many libraries already provide a similar interface.
	mux.Handle("/protected", middleware.For(handler(), authMiddleware))

	if err := http.ListenAndServe("0.0.0.0:8080", mux); err != http.ErrServerClosed {
		panic(err)
	}
	// If we visit 0.0.0.0:8080/ we will see "Hello !"
	// 
	// If we visit 0.0.0.0:8080/protected (or any subpath of it) without setting 
	// the proper auth heather, we will see "Unauthorized".
}

func handler() http.HandlerFunc {
	return func(w http.ResponseWriter, r *http.Request) {
		w.Write([]byte("Hello !"))
	}
}

Please visit code documentation for more clarification about each specific type/helper.

Default headers

This middleware allows users to setup a default set of headers that will be added on every response. The following handlers in the chain have always the last responsibility on wether to override the job done by this middleware.

package main

import (
	"net/http"

	"go.eloylp.dev/kit/http/middleware"
)

func main() {

	// Define the default headers
	defaultHeaders := middleware.DefaultHeaders{}
	defaultHeaders.Set("Server", "random-server")

	// Apply the middleware to the handler chain.
	handler := middleware.For(handler(), middleware.ResponseHeaders(defaultHeaders))

	mux := http.NewServeMux()
	mux.Handle("/", handler)

	if err := http.ListenAndServe("0.0.0.0:8080", mux); err != http.ErrServerClosed {
		panic(err)
	}

	// Visiting / shoud show us the following headers:
	// Server: random-server
	// X-Custom-Id: 09AF
}

func handler() http.HandlerFunc {
	return func(w http.ResponseWriter, r *http.Request) {
		w.Header().Set("X-Custom-Id", "09AF")
		w.Write([]byte("Hello !"))
	}
}

Logger

The logger middleware will log general request information with the provided logger and level. It currently assumes the use of the logrus logger.

package main

import (
	"net/http"

	"github.com/sirupsen/logrus"

	"go.eloylp.dev/kit/http/middleware"
)

func main(){

	logger := logrus.NewEntry(logrus.StandardLogger())
	mid := middleware.RequestLogger(logger, logrus.InfoLevel)
	handler := middleware.For(handler(), mid)

	mux := http.NewServeMux()
	mux.Handle("/", handler)

	if err := http.ListenAndServe("0.0.0.0:8080", mux); err != http.ErrServerClosed {
		panic(err)
	}
}

func handler() http.HandlerFunc {
	return func(w http.ResponseWriter, r *http.Request) {
		w.Write([]byte("Hello !"))
	}
}

Heres the output in a terminal:

INFO[0001] intercepted request                           duration="15.645µs" headers="map[Accept:[text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8] Accept-Encoding:[gzip, deflate, br] Accept-Language:[en-GB,en] Cache-Control:[max-age=0] Connection:[keep-alive] Cookie:[redirect_to=%2F; Goland-976d74e5=8331d2d1-9f8e-48d8-a86a-6586446a99e0; Goland-976d74e6=81adf854-3ffb-4839-aa60-e7dbb375c58c] Sec-Ch-Ua:[\"Not?A_Brand\";v=\"8\", \"Chromium\";v=\"108\", \"Brave\";v=\"108\"] Sec-Ch-Ua-Mobile:[?0] Sec-Ch-Ua-Platform:[\"Linux\"] Sec-Fetch-Dest:[document] Sec-Fetch-Mode:[navigate] Sec-Fetch-Site:[none] Sec-Fetch-User:[?1] Sec-Gpc:[1] Upgrade-Insecure-Requests:[1] User-Agent:[Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36]]" ip="[::1]:51110" method=GET path=/ response_size=7

Metrics

The metrics middlewares allows instrumenting an application really fast with Prometheus metrics ! Lets see a working example:

package main

import (
	"net/http"
	"regexp"

	"github.com/prometheus/client_golang/prometheus"
	"github.com/prometheus/client_golang/prometheus/promhttp"

	"go.eloylp.dev/kit/http/middleware"
)

func main() {

	// An endpoint mapper its needed.
	endpointMapper := NewEndpointMapper()

	// Configure middlewares with Prometheus defaults.
	durationObserver := middleware.RequestDurationObserver(prometheus.DefaultRegisterer, prometheus.DefBuckets, endpointMapper)
	sizeBuckets := []float64{1, 5, 10, 20, 40, 80} // This is very specific to your application.
	sizeObserver := middleware.ResponseSizeObserver(prometheus.DefaultRegisterer, sizeBuckets, endpointMapper)

	// Apply the middlewares to the product handler.
	productHandler := middleware.For(productHandler(), durationObserver, sizeObserver)

	// Configure the router, enabling metrics.
	mux := http.NewServeMux()
	mux.Handle("/product/1", productHandler) // In an advanced router, placeholders should be available. This is just for the example.
	mux.Handle("/metrics", promhttp.Handler())

	if err := http.ListenAndServe("0.0.0.0:8080", mux); err != http.ErrServerClosed {
		panic(err)
	}

	// Reach http://0.0.0.0:8080/product/1 , multiple times.
	// Then Reach http://0.0.0.0:8080/metrics, we should see all metrics there.
	// Note the placeholder {ID} instead of the real product id should be listed.
}

// We need an endpoint mapper implementation to avoid cardinality problems in metrics.
// This is just a naive implementation for the example.

// This type should wrap an efficient implementation, like https://github.com/hashicorp/go-immutable-radix
type EndpointMapper struct {
	productIDPathReg *regexp.Regexp
}

func NewEndpointMapper() *EndpointMapper {
	return &EndpointMapper{
		productIDPathReg: regexp.MustCompile(`^/product/\d+$`),
	}
}

func (m *EndpointMapper) Map(url string) string {
	if m.productIDPathReg.MatchString(url) {
		return "/product/{ID}"
	}
	return url
}

func productHandler() http.HandlerFunc {
	return func(w http.ResponseWriter, r *http.Request) {
		w.Write([]byte("Heres the product one !"))
	}
}

The above example partially results in:

# HELP http_request_duration_seconds 
# TYPE http_request_duration_seconds histogram
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="0.005"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="0.01"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="0.025"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="0.05"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="0.1"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="0.25"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="0.5"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="1"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="2.5"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="5"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="10"} 2
http_request_duration_seconds_bucket{code="200",endpoint="/product/{ID}",method="GET",le="+Inf"} 2
http_request_duration_seconds_sum{code="200",endpoint="/product/{ID}",method="GET"} 9.969499999999999e-05
http_request_duration_seconds_count{code="200",endpoint="/product/{ID}",method="GET"} 2
# HELP http_response_size 
# TYPE http_response_size histogram
http_response_size_bucket{code="200",endpoint="/product/{ID}",method="GET",le="1"} 0
http_response_size_bucket{code="200",endpoint="/product/{ID}",method="GET",le="5"} 0
http_response_size_bucket{code="200",endpoint="/product/{ID}",method="GET",le="10"} 0
http_response_size_bucket{code="200",endpoint="/product/{ID}",method="GET",le="20"} 0
http_response_size_bucket{code="200",endpoint="/product/{ID}",method="GET",le="40"} 2
http_response_size_bucket{code="200",endpoint="/product/{ID}",method="GET",le="80"} 2
http_response_size_bucket{code="200",endpoint="/product/{ID}",method="GET",le="+Inf"} 2
http_response_size_sum{code="200",endpoint="/product/{ID}",method="GET"} 46
http_response_size_count{code="200",endpoint="/product/{ID}",method="GET"} 2

The introduced placeholder {ID} avoids cardinality problems, allowing us to properly aggregate metrics and create awesome Grafana dashboards.

This 2 middlewares should be enough for a standard HTTP application, as Prometheus histograms already provides *_sum and *_count metrics. So counters and averages calculations are already available.

Panic handling

Its almost mandatory to protect HTTP servers from panics. If not, one handler that panics will cause an entire service outage. A common practice is to define a general panic handler, that will act as protection for the entire system. Later on, downstream code could define their own panic handlers if they wish to manage each situation differently.

The following middleware should be defined at very first of the handler chain:

package main

import (
	"log"
	"net/http"

	"go.eloylp.dev/kit/http/middleware"
)

func main() {

	// Defining our panic handler function.
	handlerFunc := middleware.PanicHandlerFunc(func(v interface{}) {
		log.Printf("panic detected: %v\n", v)
	})

	// Configuring the handler chain.
	mid := middleware.PanicHandler(handlerFunc)
	handler := middleware.For(handler(), mid)

	mux := http.NewServeMux()
	mux.Handle("/panic", handler)

	if err := http.ListenAndServe("0.0.0.0:8080", mux); err != http.ErrServerClosed {
		panic(err)
	}
}

func handler() http.HandlerFunc {
	return func(w http.ResponseWriter, r *http.Request) {
		panic("I was about to say hello, but i panicked !")
		w.Write([]byte("Hello !"))
	}
}

Visiting /panic should show us a similar terminal output like:

$ 2023/01/09 18:10:04 panic detected: I was about to say hello, but i panicked !

And allowing further requests to continue, without crashing the entire server.

In a production scenario, it is recommended to instrument our handler function with some kind of metrics/alerting.

Networking tools

Very often its needed to wait for a service to be ready before connecting to it. This is especially the case in end to end testing or certain CLI tools. Here the WaitTCPService() and the WaitTLSService() can help on this task. Lets see an example:

package main

import (
	"context"
	"fmt"
	"net"
	"time"

	"go.eloylp.dev/kit/network"
)

func main() {

	addr := "127.0.0.1:8080"

	// Create a socket in 1 second
	time.AfterFunc(1*time.Second, func() {
		_, err := net.Listen("tcp", addr)
		if err != nil {
			panic(err)
		}
	})

	// Prepare the context ...
	ctx, cancel := context.WithTimeout(context.Background(), 2*time.Second)
	defer cancel()

	// We try each 300 ms until it connects.
	if err := network.WaitTCPService(ctx, addr, 300*time.Millisecond); err != nil {
		panic(err)
	}

	fmt.Printf("Connected to %q", addr)
}

If you need a TLS connection, try the WaitTLSService() variant.

Parallelization helpers

Some times its needed to parallelize a task during a certain time and gracefully wait until all the tasks are done.

Imagine that we have a service called MultiAPIService, which has 2 APIs. An HTTP one and a TCP one. We want to do a stress test on data-fanoutthis service with the Go race detector enabled, in order to catch some nasty data races. Lets see a code example on how we can stress such APIs:

package main_test

import (
	"context"
	"sync"
	"testing"
	"time"

	"go.eloylp.dev/kit/exec"
)

func TestMain(t *testing.T) {

	// Service initialization logic ...

	const MAX_CONCURRENT = 10 // Max concurrent jobs per API.

	ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second) // Test time.
	defer cancel()

	wg := &sync.WaitGroup{}

	// Launch all the parallelization for both APIs with exec.Parallelize
	go exec.Parallelize(ctx, wg, MAX_CONCURRENT, doHTTPRequest)
	exec.Parallelize(ctx, wg, MAX_CONCURRENT, doTCPRequest)

	wg.Wait() // Waiting for all tasks to end.

	// Service shutdown logic ...
}

func doHTTPRequest() {
	time.Sleep(100 * time.Millisecond)
}

func doTCPRequest() {
	time.Sleep(50 * time.Millisecond)
}

Public key infrastructure (PKI)

Sometimes generating self signed certificates its something useful. Maybe you just want encryption and identity its not as such important. This could be the case of tests. This library provides a tool for that. Lets go through an example:

package main

import (
	"crypto/tls"
	"net"
	"net/http"
	"time"

	"go.eloylp.dev/kit/pki"
)

func main() {
    
    // Configure cert options ...
	tlsCrt, err := pki.SelfSignedCert(
		pki.WithCertSerialNumber(1),
		pki.WithCertCommonName("example.com"),
		pki.WithCertOrganization([]string{"self signed certs corp"}),
		pki.WithCertIpAddresses([]string{"127.0.0.1"}),
		pki.WithCertDNSNames([]string{"example.com"}),
		pki.WithCertNotBefore(time.Now()),
		pki.WithCertNotAfter(time.Now().Add(10*time.Hour)),
	)

	if err != nil {
		panic(err)
	}
	// Configure the server with the generated cert.
	server := http.Server{
		TLSConfig: &tls.Config{
			Certificates: []tls.Certificate{tlsCrt},
		},
		Handler: http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
			w.Write([]byte("Hi ! this should be ecnrypted now."))
		}),
	}

	l, err := net.Listen("tcp", "0.0.0.0:8080")
	if err != nil {
		panic(err)
	}

	if err := server.ServeTLS(l, "", ""); err != http.ErrServerClosed {
		panic(err)
	}

	// Then we need to access https://127.0.0.1:8080/ or https://example.com:8080/ . The later one
	// requires to tune your /etc/hosts with the line:
	//
	// 127.0.0.1 example.com
	//
	// After accepting the certificate authority its not valid, we should see the message:
	//
	// "Hi ! this should be ecnrypted now."
	//
	// As it indicates the communication should be secure in terms of encryption at this point.
}

Testing tools

In Go, we pass testing.* through functions as first argument. That promotes the creation of awesome, cohesive tests infrastructures that maximizes the re-usability of the code. We can pass the testing.* through functions which are at a different abstraction levels. Here we will see some tools/examples.

HTTP Handlers

Imagine we need to test an HTTP API. Such API is subject to a protocol (HTTP), in which we could base our testing infrastructure design.

On this repo there is a handler.Tester(..) which accepts an http.Handler (the SUT) and a list of handler.Case. Inside each handler.Case , we can define a list of handler.CheckerFunc. Each handler.CheckerFunc will hold the necessary logic to test a different aspect of the HTTP response. See the handler code for a list of all available checkers and low level details.

Lets now see an example on how to test an HTTP API with the handler.Tester tool:

package main_test

import (
	"net/http"
	"testing"

	"go.eloylp.dev/kit/test/handler"
)

func TestRouter(t *testing.T) {
	// Setup the handler, in this case, a whole router. This is the SUT,
	// which in a real application, should be in production code.
	router := router()
	// Define all the cases.
	cases := []handler.Case{
		{
			Case:   "Index should be shown",
			Path:   "/",
			Method: http.MethodGet,
			Checkers: []handler.CheckerFunc{
				handler.CheckContains("Well, this is go-kit"),
			},
			SetUp: func(t *testing.T) {
				// Bring up the database.
			},
			TearDown: func(t *testing.T) {
				// Clear the database.
			},
		},
		{
			Case:   "Expected API response",
			Path:   "/api",
			Method: http.MethodGet,
			Checkers: []handler.CheckerFunc{
				handler.CheckContainsJSON(`{"type": "greet", "content": "hello !"}`),
			},
		},
	}
	// Will execute all the cases against the router/handler.
	handler.Tester(t, cases, router)
}

func router() *http.ServeMux {
	router := http.NewServeMux()
	router.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
		w.Write([]byte(`<!DOCTYPE html>
		<html lang="en">
		<head>
			<meta charset="UTF-8">
			<meta http-equiv="X-UA-Compatible" content="IE=edge">
			<meta name="viewport" content="width=device-width, initial-scale=1.0">
			<title>Document</title>
		</head>
		<body>
			Well, this is go-kit 			
		</body>
		</html>`))
	})
	router.HandleFunc("/api", func(w http.ResponseWriter, r *http.Request) {
		w.Write([]byte(`
		{
			"type": "greet", 
			"content": "hello !"
		}`
		))
	})
	return router
}

Time helpers

In heavily time centric applications, its encouraged to resist the temptation of using time.Now() directly for gathering the current time. Especially, if there are plans to do heavy testing on them.

The following time helpers should work as a replacement for the original time.Now(), which can be easily injected during tests later.

Lets begin checking a production code example, in which we deal with time centric code:

package main

import (
	"fmt"
	"time"

	"go.eloylp.dev/kit/moment"
)

func main() {

	// By default the original time.Now() function is used, as this is the production code
	shop := NewShop("Alice shoes")

	fmt.Println(shop)

	// Prints something like:
	// "Alice shoes" its currently "open"
}

// Shop for the example. This
// represents the time centric
// code.
//
// It just says wether the shop
// its opened or closed.
type Shop struct {
	name    string
	nowFunc moment.NowFunc
}

func NewShop(name string) *Shop {
	return &Shop{
		name: name,
		// By default we use time.Now() directly.
		nowFunc: time.Now,
	}
}

// IsOpen() tells if the shop is open.
// No one works on weekends.
func (a *Shop) IsOpen() bool {
	weekday := a.nowFunc().Weekday()
	if weekday == time.Saturday || weekday == time.Sunday {
		return false
	}
	return true
}

// SetTimeFunc allows setting a
// different source for time acquisition.
func (a *Shop) SetTimeFunc(f moment.NowFunc) {
	a.nowFunc = f
}

func (a *Shop) String() string {
	var status string = "closed"
	if a.IsOpen() {
		status = "open"
	}
	return fmt.Sprintf("%q is currently %q", a.name, status)
}

As we can observe, this code would be difficult to test if we are not able to fake the current time. With such a change, now making tests is a breathe with the help of the moment.NewFakedNow() helper:

package main

import (
	"testing"

	"github.com/stretchr/testify/assert"

	"go.eloylp.dev/kit/moment"
)

func TestShopOpenings(t *testing.T) {

	cases := []struct {
		name         string
		currentTime  string
		shouldBeOpen bool
	}{
		{
			name:         "It should be closed starting the weekend",
			currentTime:  "2023-01-14 00:00:00",
			shouldBeOpen: false,
		},
		{
			name:         "It should be open starting on Monday",
			currentTime:  "2023-01-16 00:00:00",
			shouldBeOpen: true,
		},

		// More tests easily added here ...
	}

	for _, c := range cases {
		t.Run(c.name, func(t *testing.T) {

			// We can easily fake the current now ...
			nowFunc := moment.NewFakedNow(t, c.currentTime)
			shop := NewShop("Alice shop")
			// Setting the faked Now() function as new time source ...
			shop.SetTimeFunc(nowFunc)

			if c.shouldBeOpen {
				assert.True(t, shop.IsOpen(), "expected to be open, but its closed.")
			} else {
				assert.False(t, shop.IsOpen(), "expected to be closed, but its open")
			}
		})
	}
}

The above allows us to easily test boundaries while maintaining good readability. Always deal with absolute time in tests, never relative time.