C# Specification Pattern

Mar 14, 2020·
Ben-Sampica
· 6 min read
Table of Contents

Introduction

I’ve recently been helping some good friends of mine create a fantasy football wrapper around the Yahoo Fantasy Sports API. The overall Yahoo experience has been a mixed bag, but I got the opportunity to practice a pattern that I haven’t often put into much use as of yet.

The Theoretical

The pattern is the Specification pattern and it ultimately serves one purpose:

  1. Keep your domain logic separate from your implementation

By keeping it separate, we can chain business rules together and reuse them so as to maintain DRYness. As always though use common sense when choosing whether or not to apply a pattern. Don’t contract pattern fever!

You can take this pattern and do some very powerful things with it. I’ve found myself writing methods extracting data from a repository but ultimately there was little difference between methods. I’ve also found myself doing the same but having god methods. Consider the following:

// Without specification pattern
public class PlayerService
{
    private readonly IDbContext _dbContext;

    public PlayerService(IDbContext dbContext)
    {
        _dbContext = dbContext;
    }

    public IEnumerable<Player> GetAll(
      string fantasyTeam = null,
      int? contractLength = null,
      string position = null)
    {
        return _dbContext.Players.Where(p =>
            (fantasyTeam == null || p.FantasyTeam == fantasyTeam)
            && (contractLength == null || p.ContractLength >= contractLength)
            && (position == null || p.Position == position)
        );
    }
}

You can see how quickly this either turns into a giant method doing a lot of things or you end up with a ton of small methods doing very similar things. Let’s get dirty and apply the specification pattern to this.

The Practical

We can start by creating an abstract Specification<T> class and creating two methods ToExpression() and IsSatisfiedBy(T entity)

public abstract class Specification<T>
{
    public abstract Expression<Func<T, bool>> ToExpression();

    public bool IsSatisfiedBy(T entity)
    {
        var predicate = ToExpression().Compile();
        return predicate(entity);
    }
}

ToExpression() returns an Expression which is of our entity type and promises to return a bool. It is incredibly powerful when combined with LINQ as I’ll demonstrate later.

IsSatisfiedBy(T entity) returns a bool outright and can also be used in LINQ or to evaluate a single entity. It is chaining off of our ToExpression() method, compiling it, and then passing in the entity to the expression to determine whether the entity satisfies the expression.

Here’s my Player entity from the Yahoo Fantasy Sports API which we will apply a specification for.

public class Player
{
    public int PlayerId { get; set; }
    public string PlayerKey { get; set; }
    public string Name { get; set; }
    public string Position { get; set; }
    public string FantasyTeam { get; set; }
    public int ContractLength { get; set; }
}

And for the specification we want to compare if the player has a contract for the 2020 year.

public class Has2020YearContractSpecification : Specification<Player>
{
    public override Expression<Func<Player, bool>> ToExpression()
    {
        return player => player.ContractLength == 2020;
    }
}

You can see I’ve inherited the Specification class on my Has2020YearContractSpecification class which has a type of Player. Our ToExpression() method is evaluating whether the ContractLength is greater than or equal to 2020.

But what if you want to pass in the year? Easy - use the constructor!

public class HasGivenYearContractSpecification : Specification<Player>
{
    private readonly int _year;

    public HasGivenYearContractSpecification(int year)
    {
        _year = year;
    }

    public override Expression<Func<Player, bool>> ToExpression() => player => player.ContractLength >= _year;
}

Let’s jump back to our original GetAll() method that is inside the PlayerService and apply the specification. We will replace our original one-note parameters with a collection of filters of our Specification<Player> type.

public class PlayerService
{
    private readonly IDbContext _dbContext;

    public PlayerService(IDbContext dbContext)
    {
        _dbContext = dbContext;
    }

    public IEnumerable<Player> GetAll(IEnumerable<Specification<Player>> filters)
    {
        var players = _dbContext.Players;
        if(filters != null)
        {
            foreach (var filter in filters)
            {
                players = players.Where(filter.ToExpression());
            }
        }

        return players;
    }
}

// Some other method calling this...
var filters = new List<Specification<Player>>()
{
    new HasGivenYearContractSpecification(2020)
};
_playerService.GetAll(filters)

The huge benefit is that GetAll() will remain unchanged going forward, as n-number of specifications are added. New domain needs are just passed as different filters and the method will iterate each one, evaluate it, and return the filtered collection. This can be reduced in number of lines (if you prefer) by doing the following:

if (filters != null)
{
    players = filters.Aggregate(players, (player, filter) => player.Where(filter.ToExpression()));
}

I generally find this harder to read but use it if you feel so inclined.

Let’s say you want to make this even more DRY by sharing the bit of code that iterates and actually applies the expression to the entity. We can make a static class with a static extension for such a thing.

public static class DbContextExtensions
{
    public static IQueryable<T> ApplyFilters<T>(this IQueryable<T> entityCollection, IEnumerable<Specification<T>> filters = null)
    {
        if(filters != null)
        {
            foreach (var filter in filters)
            {
                entityCollection = entityCollection.Where(filter.ToExpression());
            }
        }

        return entityCollection;
    }
}

Now going back to our GetAll() method

public IEnumerable<Player> GetAll(IEnumerable<Specification<Player>> filters)
    => _dbContext.Players.ApplyFilters(filters)

How concise is that? For double the points, .ApplyFilters() can be used on any entity, not just Player.

Jumping back to our other method on our abstract Specification class, suppose you already have an entity and you want to see if it conforms to a specification. You can use the IsSatisfiedBy() method simply by doing the following.

var player = _playerService.GetAnyPlayer();
var has2020Contract = new HasGivenYearContractSpecification(2020).IsSatisfiedBy(player);

You can also use this with navigational/relational properties.

var team = _teamService_.GetAnyTeam();
team.Players.Where(p => new HasGivenYearContractSpecification(2020).IsSatisfiedBy(p))
// Or
team.Players.Where(p => new HasGivenYearContractSpecification(2020).IsSatisfiedBy)
// Or use ToExpression() / ApplyFilters()...

or if you have multiple specifications you can compare each individually or add another extension method

public static bool SatisfiesFilters<T>(this T entity, IEnumerable<Specification<T>> filters = null)
{
    if (filters != null)
    {
        foreach (var filter in filters)
        {
            var isSatisfied = filter.IsSatisfiedBy(entity);
            if (isSatisfied == false)
            {
                return false;
            }
        }
    }

    return true;
}

Which looks like

var player = _playerService.GetAnyPlayer();
var filters = new List<Specification<Player>>()
{
    new HasGivenYearContractSpecification(2020),
    new IsQuarterBackSpecification()
};

var is2020Quarterback = player.SatisfiesFilters(filters);

Some Notes

Entity Framework Core will reduce the noise of chaining .Where() when it translates via LINQ-to-Entities. You can find out more about how this and their scrubbing process in general works by watching this great video from the Dotnetos 2019 Conference

I’ve seen other bloggers use this pattern and tie it ORM’s like Entity Framework Core, Dapper or LiteDB. Specifically, to do things like .Include(). My stance is on this don’t - you will likely have unintended side effects and/or latent problems in your queries. You can be successful with it but in my opinion the tradeoffs are not worth it.

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