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Using Interfaces in Go

Using Interfaces in Go
Hostman Team
Technical writer
Go
06.12.2024
Reading time: 10 min

In object-oriented programming (OOP), the concept of interfaces plays a key role and is closely associated with one of the foundational principles—encapsulation.

Interface as a Contract

Simply put, an interface is a contract that defines the expected behavior between system components, such as how they exchange information. A real-world analogy for this concept can be seen in the Unix philosophy of "Everything is a file." This principle represents access to various resources—documents, peripherals, internal processes, and even network communication—as byte streams within the file system namespace.

The advantage of this approach is that it allows a wide range of tools, utilities, and libraries to work uniformly with many types of resources. In OOP, an interface describes the structure of an object but leaves out implementation details.

Interfaces in OOP Languages and Go

Unlike languages like Java, C++, or PHP, Go is not a classically object-oriented language. When asked if Golang is OOP, the creators give an ambiguous answer: "Yes and no." While Go includes types and methods and supports an object-oriented programming style, it lacks class hierarchies (or even classes themselves), and the relationship between concrete and abstract (interface) types is implicit, unlike languages such as Java or C++.

In traditional OOP languages, implementing an interface involves explicitly declaring that a class conforms to it (e.g., public class MyClass implements MyInterface). The implementing class must also define all methods described in the interface, matching their declared signatures exactly.

In Go, there is no need for an explicit declaration that a type implements an interface. As long as a type provides definitions for all the methods specified in the interface, it is considered to implement that interface.

In the Java example below, the class Circle is not an implementation of the interface Shape if the class description does not explicitly declare that it implements the interface, even if it contains methods matching those in Shape. In contrast, the class Square would be recognized as a Shape implementation because it explicitly declares so.

// Shape.java

interface Shape {
    public double area();
    public double perimeter();
}
// Circle.java

public class Circle {
    private double radius;

    // constructor
    public Circle(double radius) {
        this.radius = radius;
    }

    public double area() {
        return this.radius * this.radius * Math.PI;
    }

    public double perimeter() {
        return 2 * this.radius * Math.PI;
    }
}
// Square.java

public class Square implements Shape {
    private double x;

    // constructor
    public Square(double x) {
        this.x = x;
    }

    public double area() {
        return this.x * this.x;
    }

    public double perimeter() {
        return 4 * this.x;
    }
}

We can easily verify this by creating a function calculate that accepts an object implementing the Shape interface as an argument:

// Calculator.java

public class Calculator {
    public static void calculate(Shape shape) {
        double area = shape.area();
        double perimeter = shape.area();

        System.out.printf("Area: %f,%nPerimeter: %f.");
    }

    public static void main() {
        Square s = new Square(20);
        Circle c = new Circle(10);

        calculate(s);
        calculate(c);
    }
}

If we try to compile such code, we will get an error:

javac Calculator.java
Calculator.java:16: error: incompatible types: Circle cannot be converted to Shape
        calculate(c);
                  ^
Note: Some messages have been simplified; recompile with -Xdiags:verbose to get full output
1 error

In Golang, there is no requirement for a type to declare the interfaces it implements explicitly. It is sufficient to implement the methods described in the interface (the code below is adapted from Mihalis Tsoukalos's book "Mastering Go"):

package main

import (
    "fmt"
    "math"
)

type Shape interface {
    Area() float64
    Perimeter() float64
}

type Square struct {
    X float64
}

func (s Square) Area() float64 {
    return s.X * s.X
}

func (s Square) Perimeter() float64 {
    return 4 * s.X
}

type Circle struct {
    Radius float64
}

func (c Circle) Area() float64 {
    return c.Radius * c.Radius * math.Pi
}

func (c Circle) Perimeter() float64 {
    return 2 * c.Radius * math.Pi
}

func Calculate(x Shape) {
    fmt.Printf("Area: %f,\nPerimeter: %f\n\n", x.Area(), x.Perimeter())
}

func main() {
    s := Square{X: 20}
    c := Circle{Radius: 10}

    Calculate(s)
    Calculate(c)
}

Area: 400.000000,
Perimeter: 80.000000

Area: 314.159265,
Perimeter: 62.831853

If we try to use a type that does not implement the Shape interface as an argument for the Calculate function, we will get a compilation error. It is shown in the following example, where the Rectangle type does not implement the Shape interface (the Perimeter method is missing):

package main

import "fmt"

type Shape interface {
    Area() float64
    Perimeter() float64
}

type Rectangle struct {
    W, H float64
}

func (r Rectangle) Area() float64 {
    return r.W * r.H
}

func Calculate(x Shape) {
    fmt.Printf("Area: %f,\nPerimeter: %f\n\n", x.Area(), x.Perimeter())
}

func main() {
    r := Rectangle{W: 10, H: 20}

    Calculate(r)
}

./main.go:25:12: cannot use r (variable of type Rectangle) as type Shape in argument to Calculate:
    Rectangle does not implement Shape (missing Perimeter method)

Notice how the Golang language compiler provides a more informative error message, unlike the Java language compiler.

Problems and Solutions

On the one hand, this approach to interface implementation simplifies writing programs, but on the other hand, it can become a source of errors that are sometimes hard to catch.

Let’s look at an example. While working on a client library for a popular API, we needed to implement a caching mechanism — saving already retrieved data locally "on the client" to avoid repeated requests to the remote API server. API access was provided within packages that had a limited number of requests per month, so using a caching mechanism was economically beneficial for users. However, since the use cases for this library weren't limited to just web applications (although that was the most common scenario), we couldn't implement a single caching strategy that would satisfy everyone. Even in the case of applications running within a web server, there are at least two (or even all three) caching options — in-memory caching and using something like Memcached or Redis. However, there are also CLI (command-line interface) applications, and the caching strategies that work well for web applications are not suitable for command-line ones.

As a result, we decided not to implement a single caching strategy, but to create our own interface listing methods for retrieving and storing data in the cache. We also wrote implementations of this interface for various caching strategies. This way, users of our library (other developers) could either use one of the implementations provided with the library or write their own custom implementation of the caching interface for their needs.

Thus, the situation arose where the interface implementation and its application were separated into different codebases: the implementations were in "our" library, while the application of the interface was in other developers' applications. Our task was to check that our own implementations were indeed correct implementations of our own interface.

Let's assume we have the cache.Interface interface and the cache.InMemory and cache.OnDisk types:

package cache

import (
    "encoding/json"
    "fmt"
    "os"
    "sync"
)

type Interface interface {
    Get(key string) (value []byte, ok bool)
    Set(key string, value []byte)
    Delete(key string)
}

type InMemory struct {
    mu    sync.Mutex
    items map[string][]byte
}

func NewInMemory() *InMemory {
    return &InMemory{
        items: make(map[string][]byte),
    }
}

func (c *InMemory) Get(key string) (value []byte, ok bool) {
    c.mu.Lock()
    value, ok = c.items[key]
    c.mu.Unlock()
    return value, ok
}

func (c *InMemory) Set(key string, value []byte) {
    c.mu.Lock()
    c.items[key] = value
    c.mu.Unlock()
}

func (c *InMemory) Delete(key string) {
    c.mu.Lock()
    delete(c.items, key)
    c.mu.Unlock()
}

type OnDisk struct {
    mu       sync.Mutex
    items    map[string][]byte
    filename string
}

func NewOnDisk(filename string) *OnDisk {
    return &OnDisk{
        items:    make(map[string][]byte),
        filename: filename,
    }
}

func (c *OnDisk) Get(key string) (value []byte, err error) {
    c.mu.Lock()
    defer c.mu.Unlock()

    f, err := os.Open(c.filename)
    if err != nil {
        return nil, err
    }
    defer f.Close()

    dec := json.NewDecoder(f)
    if err := dec.Decode(&c.items); err != nil {
        return nil, err
    }

    value, ok := c.items[key]
    if !ok {
        return nil, fmt.Errorf("no value for key: %s", key)
    }

    return value, nil
}

func (c *OnDisk) Set(key string, value []byte) error {
    c.mu.Lock()
    defer c.mu.Unlock()

    c.items[key] = value

    f, err := os.Create(c.filename)
    if err != nil {
        return err
    }

    enc := json.NewEncoder(f)
    if err := enc.Encode(c.items); err != nil {
        return err
    }

    return nil
}

func (c *OnDisk) Delete(key string) error {
    c.mu.Lock()
    defer c.mu.Unlock()

    delete(c.items, key)

    f, err := os.Create(c.filename)
    if err != nil {
        return err
    }

    enc := json.NewEncoder(f)
    if err := enc.Encode(c.items); err != nil {
        return err
    }

    return nil
}

Now we need to make sure that both of our types, cache.InMemory and cache.OnDisk, implement the cache.Interface. How can we achieve this? The first answer that comes to mind is to write a test.

Test

Let's write two small tests to check that our types cache.InMemory and cache.OnDisk implement the cache.Interface:

package cache

import "testing"

func TestInMemoryImplementsInterface(t *testing.T) {
    var v interface{} = NewInMemory()
    _, ok := v.(Interface)
    if !ok {
        t.Error("InMemory does not implement Interface")
    }
}

func TestOnDiskImplementsInterface(t *testing.T) {
    var v interface{} = NewOnDisk("cache.json")
    _, ok := v.(Interface)
    if !ok {
        t.Error("OnDisk does not implement Interface")
    }
}

Let’s run these tests:

go test -v ./cache
=== RUN   TestInMemoryImplementsInterface
--- PASS: TestInMemoryImplementsInterface (0.00s)
=== RUN   TestOnDiskImplementsInterface
    cache_test.go:17: OnDisk does not implement Interface
--- FAIL: TestOnDiskImplementsInterface (0.00s)
FAIL
FAIL    cache   0.002s
FAIL

As seen from the test results, the cache.InMemory type implements the cache.Interface, but the cache.OnDisk type does not.

But there is an easier way!

While using tests to check for interface implementation works, it does require a certain level of discipline from the developer. You need to remember to write the tests and, just as importantly, to run them periodically.

Fortunately, there is a simpler way to check whether a specific type implements the required interface. You only need to write a single line of code (for us, two lines, since we have two types) and run go build.

package cache

// ...

var _ Interface = (*InMemory)(nil)
var _ Interface = (*OnDisk)(nil)
go build ./cache

cache/cache.go:6:19: cannot use (*OnDisk)(nil) (value of type *OnDisk) as type Interface in variable declaration:
    *OnDisk does not implement Interface (wrong type for Delete method)
        have Delete(key string) error
        want Delete(key string)

As you can see, the Golang compiler not only informs us that a type does not implement the interface, but also provides insight into the reason for this. In our case, it’s due to different method signatures.

What is this magic?

There’s no magic. The underscore symbol (_) is a special variable name used when we need to assign a value but do not intend to use it later. One of the most common uses of such variables is to ignore errors, for example:

f, _ := os.Open("/path/to/file")

In the above example, we open a file but do not check for potential errors.

Thus, we create an unused variable of type cache.Interface and assign it a nil pointer to the implementation type (cache.InMemory or cache.OnDisk).

Conclusion

In this article, we explored the concept of an "interface" in different programming languages. We determined whether Go is an object-oriented language and learned how to check if a type implements an interface both via tests and during the compilation stage.

On our app platform you can deploy Golang apps, such as Beego and Gin.

Go
06.12.2024
Reading time: 10 min

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In the first example with division, you explicitly cast the integers to float using the float64() function. Here’s another example of converting from int64 to float64: package main import "fmt" func main() { var x int64 = 57 var y float64 = float64(x) fmt.Printf("%.2f\n", y) } Output: 57.00 The two zeros after the decimal point appear because we added the %.2f\n format specifier. Instead of 2, you could specify any other number, depending on how many decimal places you want to display. You can also convert from float to int. Here's an example: package main import "fmt" func main() { var f float64 = 409.8 var i int = int(f) fmt.Printf("f = %.3f\n", f) fmt.Printf("i = %d\n", i) } Output: f = 409.800i = 409 In this example, the program prints f = 409.800 with three decimal places. In the second print statement, the float is first converted to int, and the decimal part is discarded. Note that Go does not perform rounding, so the result is 409 without any rounding to the nearest integer. Strings Conversion in Go In Golang, we can convert a number to a string using the method strconv.Itoa. This method is part of the strconv package in the language's standard library. Run this code: package main import ( "fmt" "strconv" ) func main() { a := strconv.Itoa(12) fmt.Printf("%q\n", a) } The result should be the string "12". The quotes in the output indicate that this is no longer a number. In practice, such string-to-number and number-to-string conversions are often used to display useful information to users. For example, if you're building an online store, you can host it at Hostman, implement the core business logic, and fill it with products. After some time, the product manager suggests improving the user profile. The user should see the amount they have spent and how much more they need to spend to reach the next level. To do this, you need to display a message in the user profile that consists of a simple text and a set of digits. Try running this code: package main import ( "fmt" ) func main() { user := "Alex" sum := 50 fmt.Println("Congratulations, " + user + "! You have already spent " + lines + " dollars.") } The result will be an error message. You cannot concatenate a string and a number. The solution to this problem is to convert the data in Go. Let's fix the code by converting the variable lines to a string: package main import ( "fmt" "strconv" ) func main() { user := "Alex" sum := 50 fmt.Println("Congratulations, " + user + "! You have already spent " + strconv.Itoa(sum) + " dollars.") } Now, there will be no error, and the output will display the correct message with the proper set of digits. Of course, this is a simplified example. In real projects, the logic is much more complex and challenging. However, knowing the basic operations helps avoid a large number of errors. This is especially important when working with complex systems. Let's go back to our example. The product manager comes again and says that customers want to see the exact total amount of their purchases in their profile, down to the pennies. An integer value won't work here. As you already understood from the examples above, all digits after the decimal point are simply discarded. To make sure the total purchase amount in the user profile is displayed correctly, we will convert not an int, but a float to a string. For this task, there is a method fmt.Sprint, which is part of the fmt package. package main import ( "fmt" ) func main() { fmt.Println(fmt.Sprint(421.034)) f := 5524.53 fmt.Println(fmt.Sprint(f)) } To verify that the conversion was successful, concatenate the total with the string. For example: package main import ( "fmt" ) func main() { f := 5524.53 fmt.Println("Alex spent " + fmt.Sprint(f) + " dollars.") } There is no error now, and the information message correctly displays the floating-point number. Customers can see how much money they've spent in your store, with all expenses accounted for down to the penny. A common reverse task is to convert a string into numbers. For example, you have a form where the user enters their age or any other numeric values. The entered data is saved in the string format. Let's try working with this data— for instance, performing a subtraction: package main import ( "fmt" ) func main() { lines_yesterday := "50" lines_today := "108" lines_more := lines_today - lines_yesterday fmt.Println(lines_more) } The result of running this code will be an error message, as subtraction cannot be applied to string values. To perform mathematical operations on data stored as strings, you need to convert them to int or float. The choice of method depends on the type you will convert the string to. If you are working with integers, use the strconv.Atoi method. For floating-point numbers, use the strconv.ParseFloat method. package main import ( "fmt" "log" "strconv" ) func main() { lines_yesterday := "50" lines_today := "108" yesterday, err := strconv.Atoi(lines_yesterday) if err != nil { log.Fatal(err) } today, err := strconv.Atoi(lines_today) if err != nil { log.Fatal(err) } lines_more := today - yesterday fmt.Println(lines_more) } In this example, you use the if operator to check whether the conversion was successful. If an error occurs, the program will terminate, and the error information will be saved in the log. If the conversion is successful, the output will give you the correct result: 108 - 50 = 58. If you try to convert a string that does not contain a numerical value in the same way, you will receive an error message: strconv.Atoi: parsing "not a number": invalid syntax Try running this code: package main import ( "fmt" "strconv" ) func main() { a := "not a number" b, err := strconv.Atoi(a) fmt.Println(b) fmt.Println(err) } The code from the example above will fail because you are trying to convert a string whose value is not a number into a numeric type. Strings can also be converted to byte slices and back using the []byte() and string() constructs.  package main import ( "fmt" ) func main() { a := "hostman" b := []byte(a) c := string(b) fmt.Println(a) fmt.Println(b) fmt.Println(c) } In this function, you save the string to variable a, then convert the same string into a byte slice and save it to variable b, then turn the byte slice into a string and save the result to variable c. The output will be like this: hostman[104 111 115 116 109 97 110]hostman This simple example shows that you can easily convert strings to byte slices and back. Conclusion In this article, we only covered the basics. We looked at the available data types and how to perform type conversion in Go. If you want to learn more, explore the language documentation or at least the "A Tour of Go" tutorial — it's an interactive introduction to Go divided into three sections. The first section covers basic syntax and data structures, the second discusses methods and interfaces, and the third introduces Go's concurrency primitives. Each section concludes with several exercises so you can practice what you've learned.  In addition,  you can deploy Go applications (such as Beego and Gin) on our app platform.
10 December 2024 · 10 min to read

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