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https://github.com/dhruvrajvanshi/crz

Functional programming library for https://github.com/crystal-lang/crystal
https://github.com/dhruvrajvanshi/crz

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Functional programming library for https://github.com/crystal-lang/crystal

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README 

        
# CRZ [![Build Status](https://travis-ci.org/dhruvrajvanshi/crz.svg?branch=master)](https://travis-ci.org/dhruvrajvanshi/crz)

CRZ is a functional programming library for the Crystal language.



## Features

* Common monads

  - Option

  - Nilable

  - Result

* Algebraic data types (using macros).

* Automatic generation of `==` and `copy_with` methods like builtin `records` macro.

* Haskell like do notation (more macro goodness).

* Macros for Applicative types.

* Pattern matching



## Goals

* Make working with monads/applicatives/functors as pleasant as possible (using macros if needed).

* Enable type safe error handling in the language (using Result(A, E) type).

* Emulate algebraic data types using macros.

* Make working with algebraic types type safe and easy using pattern matching.



## Changelog

### 1.0.0

Breaking changes:

- `==` method is now overridden for adt variants meaning that it will now use value equality instead of reference equality. i.e.

  `Option::Success.new(1) == Option::Success.new(1)` will always be true.

- `adt_class` macro has been removed. Instead, you

  can simply pass a block containing your custom methods to the `adt` macro.

- `match` macro doesn't need an explicit type argument. It won't work

  with the argument anymore.



## Quickstart

Add this to your shard.yml

```yaml

crz:

  github: dhruvrajvanshi/crz

  version: ~> 1.0.0

```



Then run `shard install` in your project directory.



```crystal

include CRZ

```

### Algebraic data types

Algebraic data types are a lightweight way of defining data types

that can be one of multiple sub types, each having its own data values.

Think of them as a single abstract base class with multiple subclasses.



CRZ provides macros for creating algebraic types with overloaded equality (`==`)

and `to_s` (TODO) methods.



Define basic algebraic type using adt

```crystal

## A list type for integers

adt IntList, # name of tye new type

  Empty,

  Cons(Int32, IntList)



```



This declares a type Int list, which can either be an empty list

(subtype IntList::Empty), or an IntList::Cons which contains a head

element (Int32 type) and a tail element which is another IntList.

```crystal

# Creating adt values

empty = IntList::Empty.new

listWithJust1 = IntList::Cons.new 1, empty

listWith0And1 = IntList::Cons.new 0, (IntList::Cons.new 1, IntList::Empty.new)

## or

listWith0And1 = IntList::Cons.new 0, listWithJust1

```



#### Named fields

```crystal

adt Point,

  Named { x : Int32, y : Int32 },

    # property x : Int

    # property y : Int



  PartiallyNamed { x: Int32, Int32 },

    # property x : Int32

    # property value1 : Int32



  Unnamed { Int32, Int32 }

    # property value0 : Int32

    # property value1 : Int32

```



In case no name is provided, the name of the property will be

`@valueN`, where `N` is the index of the field for that constructor



#### Accesing values of ADT variants

Each ADT variant (subtype) has instance variables @value0, @value1,

etc according to their index in the data type.

```crystal

head = listWith0And1.value0

```

This method is there but does not utilize the full power of CRZ ADTs.



#### Cloning and copying

Each variant has a `clone` method that makes a copy of that object.



`copy_with` method is like clone but fields can be updated individually.



```crystal

adt Point, P {x : Int32, y : Int32}



Point::P.new(1, 2).copy_with(3, 4) # => Point::P(3, 4)



# Or using field label

Point::P.new(1, 2).copy_with(y: 3) # => Point::P(1, 3)



```

If you don't pass a field to `copy_with`, the one from the current

object is used as a default value. i.e. `copy_with` without any arguments

works like `clone`.



#### Pattern matching

All user defined ADTs allow getting values from them using pattern matching. You can write cases corresponding to each variant in the data type and conditionally perform actions.

Example

```crystal

head = IntList.match listWithJust1, {

  [Cons, x, xs] => x,

  [Empty] => nil

}

puts head # => 1

```

Notice the comma after the variant name (Cons,). This is required.



You can use [_] pattern as a catch all pattern.



```crystal

head = IntList.match empty, {

  [Cons, x, xs] => x,

  [_] => nil

}

```

Note that ordering of patterns matters. For example,

```crystal

IntList.match list, {

  [_] => nil,

  [Cons, x, xs] => x,

  [Empty] => 0

}

```

This will always return nil because ```[_]``` matches everything.



You can also use constants in patterns. For example

```crystal

has0AsHead = IntList.match list, {

  [Cons, 0, _] => true,

  [_] => false

}

```



You can write statements inside match branches ising Proc literals.

```crystal

IntList.match list, {

  [Empty] => ->{

    print "here"

    ...

  }.call

}

```

You have to add .call at the end of the proc otherwise, it will be returned as a value instead of being called.



For values with named fields, using a `case` expression is somewhat cleaner.



```crystal

adt X,

  A { a : Int32 },

  B { b : String }



x = X::A.new a: 1

...



case x

when X::A

  # type of x will be narrowed to X::A at compile time

  x.a

else

  # Inferred as X::B

  x.b

end

```



#### Generic ADTs

You can also declare a generic ADTs.

Here's a version of IntList which can be instantiated for any type.

```crystal

adt List(A),

  Empty,

  Cons(A, List(A))



empty = List::Empty(Int32).new # Type annotation is required for empty

cons  = List::Cons.new 1, empty # type annotation isn't required because it is inferred from the first argument

head = List.match cons, {

  [Cons, x, _] => x,

  [_] => nil

}

```



#### Adding custom methods

You may need to add methods to your ADTs. This can be done by passing a block to the `adt` macro.

For example, here's a partial implementation of `CRZ::Containers::Option` with a few members excluded for brevity.

```crystal

adt Option(A),

    Some(A),

    None,

    do

      include Monad(A)



      def to_s

        Option.match self, {

          [Some, x] => "Some(#{x})",

          [None]    => "None",

        }

      end



      def bind(&block : A -> Option(B)) : Option(B) forall B

        Option.match self, {

          [Some, x] => (block.call x),

          [None]    => None(B).new,

        }

      end

      ...

    end

```

Now all Option values have bind and to_s methods defined on them.

```crystal

puts Some.new(1).to_s # => Some(1)

puts None(Int32).new.to_s # => None

```

Notice that the class has to be abstract and the class name has to be

ADT followed by the name of the type you're declaring otherwise, it won't work.



### Container types (Monads)

CRZ defines a few container types which can be used. All of them implement the Monad interface which gives them certain properties that make them really powerful. 

One of them is `CRZ::Option` which can either contain a value or nothing.

```crystal

# Creating an option

a = Option::Some.new 1

none = Option::None(Int32).new



# you can omit base class name due to type aliases

# defined in CRZ namespace

a = Some.new 2

b = None(Int32).new



# pattern matching over Option

Option.match a, {

  [Some, x] => "Some(#{x})",

  [_] => "None"

} # ==> Some(1)

```

The idea of the optional type is that whichever functions or methods that can only return a value in some cases should return an Option(A).

The Option type allows you to write clean code without unnecessary nil checks.



You can transform Options using the .map method

```crystal

option = Some.new(1) # Some(1)

          .map {|x| x+1}     # Some(2)

          .map {|x| x.to_s}  # Some("2")

          .map {|s| "asdf" + s} # Some("asdf2")

puts option.to_s # ==> Some(asdf2)

```

This allows you to take functions that work on the contained type and apply them to the container. Mapping over Option::None returns an Option::None.

```crystal

None(Int32).new

  .map {|x| x.to_s} # None(String)

```

Notice that mapping changes the type of the Option from Option(Int32) to Option(String).



The .bind method is a bit more powerful than the map method. It allows you to sequence computations that return Option (or any Monad).

Instead of a block of type `A -> B` like map, the bind method takes a block from `A -> Option(B)` and returns Option(B).

For example

```crystal

Some.new(1)

  .bind do |x|

    if x == 0

      None(Int32).new

    else

      Some.new(x)

    end

  end

```

The bind is more powerful than you might think. It allows you to combine arbitrary Monads into a single Monad.



### Sequencing with mdo macro

What if you have multiple Option types and you want to apply some

computation to their contents without having to manually unwrap their

contents using pattern matching?. There's a way to operate over monads

using normal functions and expressions.

You can do that using mdo macro inspired by Haskell's do notation.

```crystal

c = mdo({

  x <= Some.new(1),

  y <= Some.new(2),

  Some.new(x + y)

})

puts c # ==> Some(3)

```

Here, <= isn't the comparison operator. It's job is to bind the

value contained in the monad on it's RHS to the variable on it's left.

Think of it as an assignment for monads. Make sure that the RHS value

for <= inside a mdo block is a monad. Any assignments made like this

can be used in the rest of the mdo body.

You can also use regular assignments in the mdo block to assign regular values.

```crystal

c = mdo({

  x <= some_option,

  ...

  y <= another_option,

  a = x+y,

  ...

  Some.new(a)

})

```

If an Option::None is bound anywhere in the mdo body, it short

circuits the entire block and returns a Nothing. The contained type of the nothing will still be

the contained type of the last expression in the block.

```crystal

c = mdo({

  x <= some_option,

  ...

  y <= none_option,

  ...

  ...

})

puts c.to_s # ==> None

```



Think of what you'd have to do to achieve this result without using mdo or bind.

Instead of this,

```crystal

# instead of this

c = mdo({

  x <= a,

  y <= b,

  Some.new(x + y)

})

```

You'd have to write this

```crystal

Option.match a, {

  [Some, x] => Option.match b, {

    [Some, y] => Some.new(x+y),

    [None] => None(Int32).new

  },

  [None] => None(Int32).new

}

```

This is harder to read and doesn't scale well to more variables. If you have 10

Option values, you'd have to nest 10 pattern matches.

If you used regular nillable values that the language provides, then it would

turn into nested nil checks which is the same thing.



Always have a monadic value as the last expression of the mdo block. If you don't,

the return type of mdo block will be (A | None(A)).



Remember when I said .bind method is really powerful? An mdo block is transformed

into nested binds during macro expansion.



There's an even cleaner way to write combination of monads.



### lift_apply macro

Suppose you have a function like

```crystal

def sum(x, y)

  x + y

end

```

and you want to apply this function to two monads instead of two values.

You can use an mdo block but an even cleaner way is to write

```

lift_apply sum, Some.new(1), Some.new(2)

```

You can also use a proc

```

lift_apply proc.call, monad1, monad2, ...

```

Just like mdo, this is also converted into nested .bind calls during macro expansion.



It is advisable to keep your values inside monads for as long as possible and match

over them at the end. You already know how to use regular functions over monadic values.



### Other operators on monads

All monads implement these methods

* .of

* ```>>```

* ```<<```



To create a monad from a single value, use the .of method

```crystal

Option.of(2) # => Some(2)

Result(Int32, String).of(2) # => Ok(2)

```



To sequence two monads, discarding the value of the first monad, use the operator ```>>```

```crystal

Option.of(2) >> Option.of(3) # => Some(3)

None(Int32).new >> Option.of(3) # => None

Option.of(2) >> None(Int32).new # => None

```



To sequence two monads, discarding the value of the second

monad, use the ```<<``` operator.

```crystal

Option.of(2) << Option.of(3) # => Some(2)

```



### Implementing your own monads

To implement your own monadic types, you have to include the Monad(T) module in your class, and you have to implement

the .of, bind and map methods (you can omit the map method if

your monad takes only one generic type argument). of method

is a static method, so, it is named self.of.

For example, Option type is defined as

```crystal

adt_class Option(A),

    Some(A), None,

    abstract class ADTOption(A)

      include Monad(A)



      def self.of(value : T) : Option(T) forall T

        Option::Some.new(value)

      end



      def bind(&block : A -> Option(B)) : Option(B) forall B

        Option.match self, {

          [Some, x] => (block.call x),

          [None]    => Option::None(B).new,

        }

      end

    end

```

In case your type requires more than 1 generic argument, you

can implement the map method in a straightforward way using

the bind and of methods.

```crystal

class YourType(A1, A2)

  include Monad(A1)



  ...



  def map(&block : A1 -> B) : YourType(B, A2) forall B

    bind do |x|

      YourType(B, A2).of(block.call x)

    end

  end

end



# or, in case your monad is based on the second generic arg,

class YourType(A1, A2)

  include Monad(A2)



  ...



  def map(&block : A2 -> B) : YourType(A1, B) forall B

    bind do |x|

      YourType(A1, B).of(block.call x)

    end

  end

end

```

Any monads you define will be compatible with mdo and

lift_apply macros.