Plumb

This library is work in progress!

Composable data validation, coercion and processing in Ruby. Takes over from https://github.com/ismasan/parametric

This library takes ideas from the excellent https://dry-rb.org ecosystem, with some of the features offered by Dry-Types, Dry-Schema, Dry-Struct. However, I'm aiming at a subset of the functionality with a (hopefully) smaller API surface and fewer concepts, focusing on lessons learned after using Parametric in production for many years.

If you're after raw performance and versatility I strongly recommend you use the Dry gems.

For a description of the core architecture you can read this article.

Installation

TODO

Usage

Include base types

Include base types in your own namespace:

module Types
  # Include Plumb base types, such as String, Integer, Boolean
  include Plumb::Types

  # Define your own types
  Email = String[/@/]
end

# Use them
result = Types::String.resolve("hello")
result.valid? # true
result.errors # nil

result = Types::Email.resolve("foo")
result.valid? # false
result.errors # ""

Specialize your types with `#[]`

Use #[] to make your types match a class.

module Types
  include Plumb::Types

  String = Types::Any[::String]
  Integer = Types::Any[::Integer]
end

Types::String.parse("hello") # => "hello"
Types::String.parse(10) # raises "Must be a String" (Plumb::TypeError)

Plumb ships with basic types already defined, such as Types::String and Types::Integer. See the full list below.

The #[] method is not just for classes. It works with anything that responds to #===

# Match against a regex
Email = Types::String[/@/] # ie Types::Any[String][/@/]

Email.parse('hello') # fails
Email.parse('[email protected]') # '[email protected]'

# Or a Range
AdultAge = Types::Integer[18..]
AdultAge.parse(20) # 20
AdultAge.parse(17) # raises "Must be within 18.."" (Plumb::TypeError)

# Or literal values
Twenty = Types::Integer[20]
Twenty.parse(20) # 20
Twenty.parse(21) # type error

It can be combined with other methods. For example to cast strings as integers, but only if they look like integers.

StringToInt = Types::String[/^\d+$/].transform(::Integer, &:to_i)

StringToInt.parse('100') # => 100
StringToInt.parse('100lol') # fails

`#resolve(value) => Result`

#resolve takes an input value and returns a Result::Valid or Result::Invalid

result = Types::Integer.resolve(10)
result.valid? # true
result.value # 10

result = Types::Integer.resolve('10')
result.valid? # false
result.value # '10'
result.errors # 'must be an Integer'

`#parse(value) => value`

#parse takes an input value and returns the parsed/coerced value if successful. or it raises an exception if failed.

Types::Integer.parse(10) # 10
Types::Integer.parse('10') # raises Plumb::TypeError

Composite types

Some built-in types such as Types::Array and Types::Hash allow defininig array or hash data structures composed of other types.

# A user hash
User = Types::Hash[name: Types::String, email: Email, age: AdultAge]

# An array of User hashes
Users = Types::Array[User]

joe = User.parse({ name: 'Joe', email: '[email protected]', age: 20}) # returns valid hash
Users.parse([joe]) # returns valid array of user hashes

More about Types::Array and Types::Array. There's also tuples and hash maps, and it's possible to create your own composite types.

Type composition

At the core, Plumb types are little Railway-oriented pipelines that can be composed together with and, or and not semantics. Everything else builds on top of these two ideas.

Composing types with `#>>` ("And")

Email = Types::String[/@/]
# You can compose procs and lambdas, or other types.
Greeting = Email >> ->(result) { result.valid("Your email is #{result.value}") }

Greeting.parse('[email protected]') # "Your email is [email protected]"

Disjunction with `#|` ("Or")

StringOrInt = Types::String | Types::Integer
StringOrInt.parse('hello') # "hello"
StringOrInt.parse(10) # 10
StringOrInt.parse({}) # raises Plumb::TypeError

Custom default value logic for non-emails

EmailOrDefault = Greeting | Types::Static['no email']
EmailOrDefault.parse('[email protected]') # "Your email is [email protected]"
EmailOrDefault.parse('nope') # "no email"

Composing with `#>>` and `#|`

This more elaborate example defines a combination of types which, when composed together with >> and |, can coerce strings or integers into Money instances with currency.

require 'money'

module Types
  include Plumb::Types

  Money = Any[::Money]
  IntToMoney = Integer.transform(::Money) { |v| ::Money.new(v, 'USD') }
  StringToInt = String.match(/^\d+$/).transform(::Integer, &:to_i)
  USD = Money.check { |amount| amount.currency.code == 'UDS' }
  ToUSD = Money.transform(::Money) { |amount| amount.exchange_to('USD') }

  FlexibleUSD = (Money | ((Integer | StringToInt) >> IntToMoney)) >> (USD | ToUSD)
end

FlexibleUSD.parse('1000') # Money(USD 10.00)
FlexibleUSD.parse(1000) # Money(USD 10.00)
FlexibleUSD.parse(Money.new(1000, 'GBP')) # Money(USD 15.00)

You can see more use cases in the examples directory

Built-in types

Types::Value
Types::Array
Types::True
Types::Symbol
Types::Boolean
Types::Interface
Types::False
Types::Tuple
Types::Split
Types::Any
Types::Static
Types::Undefined
Types::Nil
Types::Integer
Types::Numeric
Types::String
Types::Hash
Types::Lax::Integer
Types::Lax::String
Types::Lax::Symbol
Types::Forms::Boolean
Types::Forms::Nil
Types::Forms::True
Types::Forms::False

Policies

Policies are methods that encapsulate common compositions. Plumb ships with some, listed below, and you can also define your own.

`#present`

Checks that the value is not blank ("" if string, [] if array, {} if Hash, or nil)

Types::String.present.resolve('') # Failure with errors
Types::Array[Types::String].resolve([]) # Failure with errors

`#nullable`

Allow nil values.

nullable_str = Types::String.nullable
nullable_srt.parse(nil) # nil
nullable_str.parse('hello') # 'hello'
nullable_str.parse(10) # TypeError

Note that this just encapsulates the following composition:

nullable_str = Types::String | Types::Nil

`#not`

Negates a type.

NotEmail = Types::Email.not

NotEmail.parse('hello') # "hello"
NotEmail.parse('[email protected]') # error

`#options`

Sets allowed options for value.

type = Types::String.options(['a', 'b', 'c'])
type.resolve('a') # Valid
type.resolve('x') # Failure

For arrays, it checks that all elements in array are included in options.

type = Types::Array.options(['a', 'b'])
type.resolve(['a', 'a', 'b']) # Valid
type.resolve(['a', 'x', 'b']) # Failure

`#transform`

Transform value. Requires specifying the resulting type of the value after transformation.

StringToInt = Types::String.transform(Integer) { |value| value.to_i }
# Same as
StringToInt = Types::String.transform(Integer, &:to_i)

StringToInteger.parse('10') # => 10

`#invoke`

#invoke builds a Step that will invoke one or more methods on the value.

StringToInt = Types::String.invoke(:to_i)
StringToInt.parse('100') # 100

FilteredHash = Types::Hash.invoke(:except, :foo, :bar)
FilteredHash.parse(foo: 1, bar: 2, name: 'Joe') # { name: 'Joe' }

# It works with blocks
Evens = Types::Array[Integer].invoke(:filter, &:even?)
Evens.parse([1,2,3,4,5]) # [2, 4]

# Same as
Evens = Types::Array[Integer].transform(Array) {|arr| arr.filter(&:even?) }

Passing an array of Symbol method names will build a chain of invocations.

UpcaseToSym = Types::String.invoke(i[downcase to_sym])
UpcaseToSym.parse('FOO_BAR') # :foo_bar

That that, as opposed to #transform, this modified does not register a type in #metadata[:type], which can be valuable for introspection or documentation (ex. JSON Schema).

Also, there's no definition-time checks that the method names are actually supported by the input values.

type = Types::Array.invoke(:strip) # This is fine here
type.parse([1, 2]) # raises NoMethodError because Array doesn't respond to #strip

Use with caution.

`#default`

Default value when no value given (ie. when key is missing in Hash payloads. See Types::Hash below).

str = Types::String.default('nope'.freeze)
str.parse() # 'nope'
str.parse('yup') # 'yup'

Note that this is syntax sugar for:

# A String, or if it's Undefined pipe to a static string value.
str = Types::String | (Types::Undefined >> Types::Static['nope'.freeze])

Meaning that you can compose your own semantics for a "default" value.

Example when you want to apply a default when the given value is nil.

str = Types::String | (Types::Nil >> Types::Static['nope'.freeze])

str.parse(nil) # 'nope'
str.parse('yup') # 'yup'

Same if you want to apply a default to several cases.

str = Types::String | ((Types::Nil | Types::Undefined) >> Types::Static['nope'.freeze])

`#build`

Build a custom object or class.

User = Data.define(:name)
UserType = Types::String.build(User)

UserType.parse('Joe') # #<data User name="Joe">

It takes an argument for a custom factory method on the object constructor.

# https://github.com/RubyMoney/monetize
require 'monetize'

StringToMoney = Types::String.build(Monetize, :parse)
money = StringToMoney.parse('£10,300.00') # #<Money fractional:1030000 currency:GBP>

You can also pass a block

StringToMoney = Types::String.build(Money) { |value| Monetize.parse(value) }

Note that this case is identical to #transform with a block.

StringToMoney = Types::String.transform(Money) { |value| Monetize.parse(value) }

`#check`

Pass the value through an arbitrary validation

type = Types::String.check('must start with "Role:"') { |value| value.start_with?('Role:') }
type.parse('Role: Manager') # 'Role: Manager'
type.parse('Manager') # fails

`#value`

Constrain a type to a specific value. Compares with #==

hello = Types::String.value('hello')
hello.parse('hello') # 'hello'
hello.parse('bye') # fails
hello.parse(10) # fails 'not a string'

All scalar types support this:

ten = Types::Integer.value(10)

`#meta` and `#metadata`

Add metadata to a type

type = Types::String.meta(description: 'A long text')
type.metadata[:description] # 'A long text'

#metadata combines keys from type compositions.

type = Types::String.meta(description: 'A long text') >> Types::String.match(/@/).meta(note: 'An email address')
type.metadata[:description] # 'A long text'
type.metadata[:note] # 'An email address'

#metadata also computes the target type.

Types::String.metadata[:type] # String
Types::String.transform(Integer, &:to_i).metadata[:type] # Integer
# Multiple target types for unions
(Types::String | Types::Integer).metadata[:type] # [String, Integer]

TODO: document custom visitors.

Other policies

There's some other built-in "policies" that can be used via the #policy method. Helpers such as #default and #present are shortcuts for this and can also be used via #policy(default: 'Hello') or #policy(:present) See custom policies for how to define your own policies.

`:respond_to`

Similar to Types::Interface, this is a quick way to assert that a value supports one or more methods.

List = Types::Any.policy(respond_to: :each)
# or
List = Types::Any.policy(respond_to: [:each, :[], :size)

`:excluded_from`

The opposite of #options, this policy validates that the value is not included in a list.

Name = Types::String.policy(excluded_from: ['Joe', 'Joan'])

`:size`

Works for any value that responds to #size and validates that the value's size matches the argument.

LimitedArray = Types::Array[String].policy(size: 10)
LimitedString = Types::String.policy(size: 10)
LimitedSet = Types::Any[Set].policy(size: 10)

The size is matched via #===, so ranges also work.

Password = Types::String.policy(size: 10..20)

`:split` (strings only)

Splits string values by a separator (default: ,).

CSVLine = Types::String.split
CSVLine.parse('a,b,c') # => ['a', 'b', 'c']

# Or, with custom separator
CSVLine = Types::String.split(/\s*;\s*/)
CSVLine.parse('a;b;c') # => ['a', 'b', 'c']

`Types::Hash`

Employee = Types::Hash[
  name: Types::String.present,
  age?: Types::Lax::Integer,
  role: Types::String.options(%w[product accounts sales]).default('product')
]

Company = Types::Hash[
  name: Types::String.present,
  employees: Types::Array[Employee]
]

result = Company.resolve(
  name: 'ACME',
  employees: [
    { name: 'Joe', age: 40, role: 'product' },
    { name: 'Joan', age: 38, role: 'engineer' }
  ]
)

result.valid? # true

result = Company.resolve(
  name: 'ACME',
  employees: [{ name: 'Joe' }]
)

result.valid? # false
result.errors[:employees][0][:age] # ["must be a Numeric"]

Note that you can use primitives as hash field definitions.

User = Types::Hash[name: String, age: Integer]

Or to validate specific values:

Joe = Types::Hash[name: 'Joe', age: Integer]

Or to validate against any #=== interface:

Adult = Types::Hash[name: String, age: (18..)]
# Same as
Adult = Types::Hash[name: Types::String, age: Types::Integer[18..]]

If you want to validate literal values, pass a Types::Value

Settings = Types::Hash[age_range: Types::Value[18..]]

Settings.parse(age_range: (18..)) # Valid
Settings.parse(age_range: (20..30)) # Invalid

A Types::Static value will always resolve successfully to that value, regardless of the original payload.

User = Types::Hash[name: Types::Static['Joe'], age: Integer]
User.parse(name: 'Rufus', age: 34) # Valid {name: 'Joe', age: 34}

Optional keys

Keys suffixed with ? are marked as optional and its values will only be validated and coerced if the key is present in the input hash.

User = Types::Hash[
  age?: Integer,
  name: String
]

User.parse(age: 20, name: 'Joe') # => Valid { age: 20, name: 'Joe' }
User.parse(age: '20', name: 'Joe') # => Invalid, :age is not an Integer
User.parse(name: 'Joe') #=> Valid { name: 'Joe' }

Note that defaults are not applied to optional keys that are missing.

Types::Hash[
  age?: Types::Integer.default(10), # does not apply default if key is missing  
  name: Types::String.default('Joe') # does apply default if key is missing.
]

Merging hash definitions

Use Types::Hash#+ to merge two definitions. Keys in the second hash override the first one's.

User = Types::Hash[name: Types::String, age: Types::Integer]
Employee = Types::Hash[name: Types::String, company: Types::String]
StaffMember = User + Employee # Hash[:name, :age, :company]

Hash intersections

Use Types::Hash#& to produce a new Hash definition with keys present in both.

intersection = User & Employee # Hash[:name]

`Types::Hash#tagged_by`

Use #tagged_by to resolve what definition to use based on the value of a common key.

Key used as index must be a Types::Static

NameUpdatedEvent = Types::Hash[type: Types::Static['name_updated'], name: Types::String]
AgeUpdatedEvent = Types::Hash[type: Types::Static['age_updated'], age: Types::Integer]

Events = Types::Hash.tagged_by(
  :type,
  NameUpdatedEvent,
  AgeUpdatedEvent
)

Events.parse(type: 'name_updated', name: 'Joe') # Uses NameUpdatedEvent definition

`Types::Hash#inclusive`

Use #inclusive to preserve input keys not defined in the hash schema.

hash = Types::Hash[age: Types::Lax::Integer].inclusive

# Only :age, is coerced and validated, all other keys are preserved as-is
hash.parse(age: '30', name: 'Joe', last_name: 'Bloggs') # { age: 30, name: 'Joe', last_name: 'Bloggs' }

This can be useful if you only care about validating some fields, or to assemble different front and back hashes. For example a client-facing one that validates JSON or form data, and a backend one that runs further coercions or domain validations on some keys.

# Front-end definition does structural validation
Front = Types::Hash[price: Integer, name: String, category: String]

# Turn an Integer into a Money instance
IntToMoney = Types::Integer.build(Money)

# Backend definition turns :price into a Money object, leaves other keys as-is
Back = Types::Hash[price: IntToMoney].inclusive

# Compose the pipeline
InputHandler = Front >> Back

InputHandler.parse(price: 100_000, name: 'iPhone 15', category: 'smartphones')
# => { price: #<Money fractional:100000 currency:GBP>, name: 'iPhone 15', category: 'smartphone' }

`Types::Hash#filtered`

The #filtered modifier returns a valid Hash with the subset of values that were valid, instead of failing the entire result if one or more values are invalid.

User = Types::Hash[name: String, age: Integer]
User.parse(name: 'Joe', age: 40) # => { name: 'Joe', age: 40 }
User.parse(name: 'Joe', age: 'nope') # => { name: 'Joe' }

Hash maps

You can also use Hash syntax to define a hash map with specific types for all keys and values:

currencies = Types::Hash[Types::Symbol, Types::String]

currencies.parse(usd: 'USD', gbp: 'GBP') # Ok
currencies.parse('usd' => 'USD') # Error. Keys must be Symbols

Like other types, hash maps accept primitive types as keys and values:

currencies = Types::Hash[Symbol, String]

And any #=== interface as values, too:

names_and_emails = Types::Hash[String, /\w+@\w+/]

names_and_emails.parse('Joe' => '[email protected]', 'Rufus' => 'rufus')

Use Types::Value to validate specific values (using #==)

names_and_ones = Types::Hash[String, Types::Integer.value(1)]

`#filtered`

Calling the #filtered modifier on a Hash Map makes it return a sub set of the keys and values that are valid as per the key and value type definitions.

# Filter the ENV for all keys starting with S3_*
S3Config = Types::Hash[/^S3_\w+/, Types::Any].filtered

S3Config.parse(ENV.to_h) # { 'S3_BUCKET' => 'foo', 'S3_REGION' => 'us-east-1' }

`Types::Array`

names = Types::Array[Types::String.present]
names_or_ages = Types::Array[Types::String.present | Types::Integer[21..]]

Arrays support primitive classes, or any #=== interface:

strings = Types::Array[String]
emails = Types::Array[/@/]
# Similar to 
emails = Types::Array[Types::String[/@/]]

Prefer the latter (Types::Array[Types::String[/@/]]), as that first validates that each element is a String before matching agains the regular expression.

Concurrent arrays

Use Types::Array#concurrent to process array elements concurrently (using Concurrent Ruby for now).

ImageDownload = Types::URL >> ->(result) { 
  resp = HTTP.get(result.value)
  if (200...300).include?(resp.status)
    result.valid(resp.body)
  else
    result.invalid(error: resp.status)
  end
}
Images = Types::Array[ImageDownload].concurrent

# Images are downloaded concurrently and returned in order.
Images.parse(['https://images.com/1.png', 'https://images.com/2.png'])

TODO: pluggable concurrency engines (Async?)

`#stream`

Turn an Array definition into an enumerator that yields each element wrapped in Result::Valid or Result::Invalid.

See Types::Stream below for more.

`#filtered`

The #filtered modifier makes an array definition return a subset of the input array where the values are valid, as per the array's element type.

j_names = Types::Array[Types::String[/^j/]].filtered
j_names.parse(%w[james ismael joe toby joan isabel]) # ["james", "joe", "joan"]

`Types::Tuple`

Status = Types::Symbol.options(i[ok error])
Result = Types::Tuple[Status, Types::String]

Result.parse([:ok, 'all good']) # [:ok, 'all good']
Result.parse([:ok, 'all bad', 'nope']) # type error

Note that literal values can be used too.

Ok = Types::Tuple[:ok, nil]
Error = Types::Tuple[:error, Types::String.present]
Status = Ok | Error

... Or any #=== interface

NameAndEmail = Types::Tuple[String, /@/]

As before, use Types::Value to check against literal values using #==

NameAndRegex = Types::Tuple[String, Types::Value[/@/]]

`Types::Stream`

Types::Stream defines an enumerator that validates/coerces each element as it iterates.

This example streams a CSV file and validates rows as they are consumed.

require 'csv'

Row = Types::Tuple[Types::String.present, Types:Lax::Integer]
Stream = Types::Stream[Row]

data = CSV.new(File.new('./big-file.csv')).each # An Enumerator
# stream is an Enumerator that yields rows wrapped in[Result::Valid] or [Result::Invalid]
stream = Stream.parse(data)
stream.each.with_index(1) do |result, line|
  if result.valid?
    p result.value
  else
    p ["row at line #{line} is invalid: ", result.errors]
  end
end

`Types::Stream#filtered`

Use #filtered to turn a Types::Stream into a stream that only yields valid elements.

ValidElements = Types::Stream[Row].filtered
ValidElements.parse(data).each do |valid_row|
  p valid_row
end

`Types::Array#stream`

A Types::Array definition can be turned into a stream.

Arr = Types::Array[Integer]
Str = Arr.stream

Str.parse(data).each do |row|
  row.valid?
  row.errors
  row.value
end

Plumb::Schema

TODO

Plumb::Pipeline

TODO

Plumb::Struct

TODO

Recursive types

You can use a proc to defer evaluation of recursive definitions.

LinkedList = Types::Hash[
  value: Types::Any,
  next: Types::Nil | proc { |result| LinkedList.(result) }
]

LinkedList.parse(
  value: 1, 
  next: { 
    value: 2, 
    next: { 
      value: 3, 
      next: nil 
    }
  }
)

You can also use #defer

LinkedList = Types::Hash[
  value: Types::Any,
  next: Types::Any.defer { LinkedList } | Types::Nil
]

Custom types

Compose procs or lambdas directly

Greeting = Types::String >> ->(result) { result.valid("Hello #{result.value}") }

or a custom class that responds to #call(Result::Valid) => Result::Valid | Result::Invalid

class Greeting
  def initialize(gr = 'Hello')
    @gr = gr
  end

  def call(result)
    result.valid("#{gr} #{result.value}")
  end
end

MyType = Types::String >> Greeting.new('Hola')

Custom policies

Plumb.policy can be used to encapsulate common type compositions, or compositions that can be configurable by parameters.

This example defines a :default_if_nil policy that returns a default if the value is nil.

Plumb.policy :default_if_nil do |type, default_value|
  type | (Types::Nil >> Types::Static[default_value])
end

It can be used for any of your own types.

StringWithDefault = Types::String.policy(default_if_nil: 'nothing here')
StringWithDefault.parse('hello') # 'hello'
StringWithDefault.parse(nil) # 'nothing here'

The #policy helper supports applying multiply policies.

Types::String.policy(default_if_nil: 'nothing here', size: (10..20))

Policies as helper methods

Use the helper: true option to register the policy as a method you can call on types directly.

Plumb.policy :default_if_nil, helper: true do |type, default_value|
  type | (Types::Nil >> Types::Static[default_value])
end

# Now use #default_if_nil directly
StringWithDefault = Types::String.default_if_nil('nothing here')

Many built-in helpers such as #default and #options are implemented as policies. This means that you can overwrite their default behaviour by defining a policy with the same name (use with caution!).

Type-specific policies

You can use the for_type: option to define policies that only apply to steps that output certain types. This example only applies for types that return Integer values.

Plumb.policy :multiply_by, for_type: Integer, helper: true do |type, factor|
  type.invoke(:*, factor)
end

Doubled = Types::Integer.multiply_by(2)
Doubled.parse(2) # 4

# Tryin to apply this policy to a non Integer will raise an exception
DoubledString = Types::String.multiply_by(2) # raises error

Interface-specific policies

for_typealso supports a Symbol for a method name, so that the policy can be applied to any types that support that method.

This example allows the multiply_by policy to work with any type that can be multiplied (by supporting the :* method).

Plumb.policy :multiply_by, for_type: :*, helper: true do |type, factor|
  type.invoke(:*, factor)
end

# Now it works with anything that can be multiplied.
DoubledNumeric = Types::Numeric.multiply_by(2)
DoubledMoney = Types::Any[Money].multiply_by(2)

Self-contained policy modules

You can register a module, class or module with a three-method interface as a policy. This is so that policies can have their own namespace if they need local constants or private methods. For example, this is how the :split policy for strings is defined.

module SplitPolicy
  DEFAULT_SEPARATOR = /\s*,\s*/

  def self.call(type, separator = DEFAULT_SEPARATOR)
    type.transform(Array) { |v| v.split(separator) }
  end

  def self.for_type = ::String
  def self.helper = false
end

Plumb.policy :split, SplitPolicy

JSON Schema

User = Types::Hash[
  name: Types::String,
  age: Types::Integer[21..]
]

json_schema = Plumb::JSONSchemaVisitor.call(User)

{
  '$schema'=>'https://json-schema.org/draft-08/schema#', 
  'type' => 'object', 
  'properties' => {
    'name' => {'type' => 'string'}, 
    'age' => {'type' =>'integer', 'minimum' => 21}
  }, 
  'required' =>['name', 'age']
}

The built-in JSON Schema generator handles most standard types and compositions. You can add or override handles on a per-type basis with:

Plumb::JSONSchemaVisitor.on(:not) do |node, props|
  props.merge('not' => visit(node.step))
end

# Example
type = Types::Decimal.not
schema = Plumb::JSONSchemaVisitor.visit(type) # { 'not' => { 'type' => 'number' } }

JSON Schema handlers for custom policies

TODO. See Plumb::JSONSchemaVisitor.

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and the created tag, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/ismasan/plumb.

License

The gem is available as open source under the terms of the MIT License.

Plumb

Installation

Usage

Include base types

Specialize your types with #[]

#resolve(value) => Result

#parse(value) => value

Composite types

Type composition

Composing types with #>> ("And")

Disjunction with #| ("Or")

Composing with #>> and #|

Built-in types

Policies

#present

#nullable

#not

#options

#transform

#invoke

#default

#build

#check

#value

#meta and #metadata

Other policies

:respond_to

:excluded_from

:size

:split (strings only)

Types::Hash

Optional keys

Merging hash definitions

Hash intersections

Types::Hash#tagged_by

Types::Hash#inclusive

Types::Hash#filtered

Hash maps

#filtered

Types::Array

Concurrent arrays

#stream

#filtered

Types::Tuple

Types::Stream

Types::Stream#filtered

Types::Array#stream

Plumb::Schema

Plumb::Pipeline

Plumb::Struct

Recursive types

Custom types

Custom policies

Policies as helper methods

Type-specific policies

Interface-specific policies

Self-contained policy modules

JSON Schema

JSON Schema handlers for custom policies

Development

Contributing

License

Specialize your types with `#[]`

`#resolve(value) => Result`

`#parse(value) => value`

Composing types with `#>>` ("And")

Disjunction with `#|` ("Or")

Composing with `#>>` and `#|`

`#present`

`#nullable`

`#not`

`#options`

`#transform`

`#invoke`

`#default`

`#build`

`#check`

`#value`

`#meta` and `#metadata`

`:respond_to`

`:excluded_from`

`:size`

`:split` (strings only)

`Types::Hash`

`Types::Hash#tagged_by`

`Types::Hash#inclusive`

`Types::Hash#filtered`

`#filtered`

`Types::Array`

`#stream`

`#filtered`

`Types::Tuple`

`Types::Stream`

`Types::Stream#filtered`

`Types::Array#stream`