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SOLID Principles


Learning objectives:

  • Discuss each principle and its benefits

Structure:

  • Discuss each principle in theory and by looking at examples
  • Further resources

Introduction

SOLID is a mnemonic acronym for five design principles intended to make software designs more understandable, flexible and maintainable.

Robert C. Martin, or Uncle Bob — co-author of the Agile Manifesto — introduced his set of SOLID principles for object-oriented design way back in 1995. These practical recommendations help developers design flexible solutions, detect code smells, and refactor their code to prevent the issues. By following SOLID design principles, developers can achieve a maintainable and extendable codebase.

SOLID helps us write code that is:

  • Loosely coupled: dependency injection
  • Highly cohesive: single responsibility
  • Easily composable: can be changed
  • Content independent: can be rearranged
  • Reusable
  • Easily testable
  • Easy to maintain and extend over time

Single Responsibility Principle

Single Responsibility Principle

A class should have a single responsibility

There should never be more than one reason for a class to change

In other words, any complicated classes should be divided into smaller classes that are each responsible for a particular behaviour, making it easier to understand and maintain your codebase.

While the concept behind the SRP is quite clear, however, developers admit that putting this principle into practice requires some skill, since a class' responsibility isn't always immediately clear.

Martin considers responsibility as a reason to change and concludes that a class and a module should have the only reason to be changed. Combining two entities that change for different reasons at different times is bad design. Leaving each class with a single responsibility makes classes maintainable. The goal of the SRP principle is to fight complexity that creeps in while you are developing an application's logic.

SRP code reveal intent and generates high cohesive code.

class FinancialReportMailer
  def initialize(transactions, account)
    @transactions = transactions
    @account = account
    @report = ""
  end

  def generate_report!
    @report = @transactions.map {
      |t| "amount: #{t.amount} type: #{t.type} date: #{t.created_at}"
    }.join("\n")
  end

  def send_report
    Mailer.deliver(
    from: 'reporter@example.com',
    to: @account.email,
    subject: 'your report',
    body: @report
    )
  end
end
mailer = FinancialReportMailer.new(transactions, account)
mailer.generate_report!
mailer.send_report

Instead:

class FinancialReportMailer
  default from: "reporter@example.com"

  def send_report(report, account)
    @report = report
    @account = account
    
    mail(
      to: @account.email,
      subject: "Financial report",
      body: @report,
    )
  end
end

class FinancialReportGenerator
  attr_reader :transactions

  def initialize(transactions)
    @transactions = transactions
  end

  def generate
    transactions.map do |t|
      "amount: #{t.amount} type: #{t.type} date: #{t.created_at}"
    end.join("\n")
  end
end

report = FinancialReportGenerator.new(transactions).generate
FinancialReportMailer.send_report(report, account).deliver

After refactoring, we have two classes that each perform a specific task. The FinancialReportMailer class sends emails containing texts generated by the FinancialReportGenerator class. If we wanted to expand the class responsible for report generation in the future, we could simply make the necessary changes without having to touch the FinancialReportMailer class.

Open-Closed Principle

Open-Closed Principle

Modules, classes, methods and other application entities should be open for extension but closed for modification

Put simply, all modules, classes, methods, etc. should be designed in a modular way so that you (or other developers) are able to change the behaviour of the system without changing the source code.

This principle is important to follow because the codebase of software projects is often modified throughout their lifetimes, for example, to meet new customer requirements. Therefore, a developer's goal should be to build a flexible system that is easy to modify and extend. The open–closed principle helps developers achieve a flexible system architecture.

In the code below, the Logger class formats and sends logs. But the OCP principle isn't followed, since we will have to modify the logger every time we need to add additional senders or formatters:

class Logger
  def initialize(format, delivery)
    @format = format
    @delivery = delivery
  end

  def log(string)
    deliver format(string)
  end

  private
  def format(string)
    case @format
    when :raw
      string
    when :with_date
      "#{Time.now} #{string}"
    when :with_date_and_details
      "Log was creates at #{Time.now}, please check details #{string}"
    else
      raise NotImplementedError
    end
  end

  def deliver(text)
    case @delivery
    when :by_email
      LogMailer.send_report(
        from: "emergency@example.com",
        to: "admin@example.com",
        subject: "Logger report",
        body: text,
      )
    when :by_sms
      client = Twilio::REST::Client.new("TWILIO_SID", "TWILIO_AUTH_TOKEN")
      client.account.messages.create(
        from: "SOME_NUMBER",
        to: "ANOTHER_NUMBER",
        body: text,
      )
    when :to_stdout
      STDOUT.write(text)
    else
      raise NotImplementedError
    end
  end
end

logger = Logger.new(:raw, :by_sms)
logger.log("Emergency error! Please fix me!")

In the example below, we have segregated senders and formatters to separate classes, and enabled the addition of new senders and formatters without having to modify the base code:

class Logger
  def initialize(formatter: DateDetailsFormatter.new, sender: LogWriter.new)
    @formatter = formatter
    @sender = sender
  end

  def log(string)
    @sender.deliver @formatter.format(string)
  end
end

class LogSms
  FROM = "SOME_NUMBER"

  attr_reader :to

  def initialize(to = "ANOTHER_NUMBER")
    @to = to
  end

  def deliver(text)
    client.account.messages.create(from: FROM, to: to, body: text)
  end

  private
  def client
    @client ||= Twilio::REST::Client.new(ENV("TWILIO_SID"), ENV("TWILIO_AUTH_TOKEN"))
  end
end

class LogMailer
  default from: "emergency@example.com"

  def deliver(text)
    mail(
      to: "admin@example.com",
      subject: "Logger report",
      body: text, 
    )
  end
end

class LogWriter
  def deliver(log)
    STDOUT.write(text)
  end
end

class DateFormatter
  def format(string)
    "#{Time.now} #{string}"
  end
end

class DateDetailsFormatter
  def format(string)
    "Log was creates at #{Time.now}, please check details #{string}"
  end
end

class RawFormatter
  def format(string)
    string
  end
end

logger = Logger.new(formatter: RawFormatter.new, sender: LogSms.new)
logger.log("Emergency error! Please fix me!")

Liskov Substitution Principle

Liskov Substitution Principle

Subclasses should add to a base class' behaviour, not replace it

In a more informal interpretation, the principle states that parent instances should be replaceable with one of their child instances without creating any unexpected or incorrect behaviour. Therefore, LSP ensures that abstractions are correct, and helps developers achieve more reusable code, and better organise class hierarchies.

In the example below, the child class violates the LSP principle since it completely redefines the base class by returning a string with filtered data, whereas the base class returns an array of posts.

class UserPosts
  def initialize(user)
    @user = user
  end

  def posts
    @user.blog.posts
  end
end

class PopularPosts < UserPosts
  def posts
    user_posts = super
    user_posts.map do |post|
      if post.popular?
        "title: #{post.title} author: #{post.author}"
      end
    end.join("\n")
  end
end

Instead:

class UserPosts
  def initialize(user)
    @user = user
  end

  def posts
    @user.blog.posts
  end
end

class PopularPosts < UserPosts
  def posts
    user_posts = super
    user_posts.select { |post| post.popular? }
  end

  def formatted_posts
    posts.map { |post| "title: #{post.title} author: #{post.author}" }.join("\n")
  end
end

To comply with the LSP principle, we can segregate the filtration logic and the statistics string generation logic into two methods: posts and formatted_posts. Therefore, we refactored the method posts that filtrates user posts, so the method returns the same type of data as the base class.

The Interface Segregation Principle

Interface Segregation Principle

Clients shouldn't depend on methods they don't use. Several client-specific interfaces are better than one generalised interface

Simply put, main classes should be segregated into smaller specific classes, so their clients use only methods they need. As a result, we get the interfaces segregated according to their purpose, so we avoid “fat” classes and code that’s hard to maintain.

The ISP principle is best demonstrated with the piece of code. This is how looks the code that is crammed with generic functionality:

class CoffeeMachineInterface
  def select_drink_type; end
  def select_portion; end
  def select_sugar_amount; end
  def brew_coffee; end
  def clean_coffee_machine; end
  def fill_coffee_beans; end
  def fill_water_supply; end
  def fill_sugar_supply; end
end

class Person
  def initialize
    @coffee_machine = CoffeeMachineInterface.new
  end

  def make_coffee
    @coffee_machine.select_drink_type
    @coffee_machine.select_portion
    @coffee_machine.select_sugar_amount
    @coffee_machine.brew_coffee
  end
end

class Staff
  def initialize
    @coffee_machine = CoffeeMachineInterface.new
  end

  def service
    @coffee_machine.clean_coffee_machine
    @coffee_machine.fill_coffee_beans
    @coffee_machine.fill_water_supply
    @coffee_machine.fill_sugar_supply
  end
end

In the example above, we have a piece of code that represents a coffee vending machine interface. As we can see, the interface is used by two types of users: a Person and a Staff. However, each uses only a few interface abilities. The ISP principle tells that one class should contain only the methods it uses.

To make this example comply with the ISP principle, we create two interfaces: a separate user interface and a separate staff interface. With this design segregated in two interfaces, we avoid unused methods and now have two smaller interfaces with methods that perform specific tasks:

class CoffeeMachineUserInterface
  def select_drink_type; end
  def select_portion; end
  def select_sugar_amount; end
  def brew_coffee; end
end

class CoffeeMachineServiceInterface
  def clean_coffee_machine; end
  def fill_coffee_beans; end
  def fill_water_supply; end
  def fill_sugar_supply; end
end

class Person
  def initialize
    @coffee_machine = CoffeeMachineUserInterface.new
  end

  def make_coffee
    @coffee_machine.select_drink_type
    @coffee_machine.select_portion
    @coffee_machine.select_sugar_amount
    @coffee_machine.brew_coffee
  end
end

class Staff
  def initialize
    @coffee_machine = CoffeeMachineServiceInterface.new
  end

  def service
    @coffee_machine.clean_coffee_machine
    @coffee_machine.fill_coffee_beans
    @coffee_machine.fill_water_supply
    @coffee_machine.fill_sugar_supply
  end
end

Autopilot

Image credit: https://levelup.gitconnected.com/interface-segregation-principle-made-simple-990da495441c

The Dependency Inversion Principle

Dependency Inversion Principle

High-level modules shouldn't depend on low-level modules. Both modules should depend on abstractions. In addition, abstractions shouldn't depend on details. Details depend on abstractions

According to Martin, code that follows the LSP and OCP principles should be readable, and contain clearly separated abstractions. It should also be extendable, and child classes should be easily replaceable by other instances of a base class without breaking the system.

The class Printer depends on classes PdfFormatter and HtmlFormatter instead of abstractions, which indicates the violation of the DIP principle, since the classes PdfFormatter and HtmlFormatter may contain the logic that refers to other classes.

class Printer
  attr_reader :data

  def initialize(data)
    @data = data
  end

  def print_pdf
    PdfFormatter.new.format(data)
  end

  def print_html
    HtmlFormatter.new.format(data)
  end
end

class PdfFormatter
  def format(data)
    # format data to Pdf logic
  end
end

class HtmlFormatter
  def format(data)
    # format data to Html logic
  end
end

Instead:

class Printer
  attr_reader :data

  def initialize(data)
    @data = data
  end

  def print(formatter: PdfFormatter.new)
    formatter.format(data)
  end
end

class PdfFormatter
  def format(data)
    # format data to Pdf logic
  end
end

class HtmlFormatter
  def format(data)
    # format data to Html logic
  end
end

In the code above, the printer doesn't depend directly on the implementation of low-level objects ‒ the PDF and HTML formatters. In addition, all modules depend on abstraction. Our high-level functionality is separated from all low-level details, so we are able to easily change the low-level logic without system-wide implications.

Summary

SOLID principles themselves don't guarantee great object-oriented design. Apply SOLID principles smartly. To do so, you need to know exactly what problem you are trying to solve, and if the problem is truly a risk for your system. For example, excessively segregating classes to conform with the SRP principle may lead to low cohesion and even performance losses.

Simply checking off boxes and saying "Now my code conforms to SOLID design principles" is the wrong approach.

However, if applied correctly, SOLID design recommendations can help you build system architecture that is easy to modify and extend over time, which is precisely what every developer should strive for.

Credit: the above was adjusted from SOLID Object-Oriented Design Principles with Ruby Examples

Further resources