spatch

`spatch it.

Spatch

Organize your logic into predictable, validated tasks.

Spatch is heavily inspired by ActiveInteraction and its precursor, Mutations.

Installation

Add this to your application's shard.yml:

dependencies:
  spatch:
    github: calebuharrison/spatch

Then run:

shards install

Usage

require "spatch"

struct SayHello < Spatch::Task 
  input name : String

  def perform
    puts "Hello, #{name}!"
  end
end

SayHello.run(name: "World")

Tasks

Task Structure

A task is a struct that inherits from Spatch::Task:

struct MyTask < Spatch::Task
  # define your inputs and outputs here

  def perform
    # write your task logic here
  end
end

Tasks are required to define a perform method that gets indirectly called by the run class method:

# Creates an instance of MyTask and performs it
MyTask.run

Inputs

Tasks can optionally define inputs using the input macro:

struct SayFirstName < Spatch::Task
  input first_name : String

  def perform
    puts @first_name
  end
end

Note that an instance variable with the same name as the input is available for use inside the perform method.

Now, if we want to run this task, we need to provide the required input:

SayFirstName.run(first_name: "Bob")

Of course, you can define as many inputs as you'd like:

struct CreateUser < Spatch::Task
  input first_name  : String
  input last_name   : String
  input age         : Int32
  input email       : String
  
  def perform
    User.new(@first_name, @last_name, @age, @email)
  end
end

The run method expects inputs in the order that they are defined. Of course, you can also use named arguments or a splatted NamedTuple:

# All of these will work just fine
CreateUser.run("Bob", "McBobberson", 55, "bob@bob.bob")

CreateUser.run(age: 55, email: "bob@bob.bob", first_name: "Bob", last_name: "McBobberson")

params = { email: "bob@bob.bob", first_name: "Bob", last_name: "McBobberson", age: 55 }
CreateUser.run(**params)

This is all well and good, but I'm starting to have some reservations about the validity of that email address. You can define validation methods for your inputs:

struct SendEmail < Spatch::Task
  input email : String

  def validate_email
    @issues.add "cannot end with bob" if @email.ends_with?("bob")
  end

  def perform
    # send an email
  end
end

When the run method is called on SendEmail, the email address will be validated before the perform method is ever called:

# Invalid, email cannot end with bob. The `perform` method is never called.
SendEmail.run(email: "bob@bob.bob")

# Perfectly valid, it's a wonderful email address. The `perform` method is called.
SendEmail.run(email: "bob@bob.com")

An input is considered valid if no issues were added to it during validation. Multiple issues can be added to an input and all of them will be reported. In order for validation methods to be recognized and automatically run, they must be named after an input. Any issues added inside of a validation method will be associated with the input after which the method is named.

Outputs

The run class method does not return the same thing that perform returns. The perform method's return value is discarded. Instead, task outputs can be defined using the output macro:

struct CreateUser < Spatch::Task
  input first_name  : String
  input last_name   : String
  input email       : String

  output user_id          : Int32
  output user_created_at  : Time

  def perform
    user = User.create(@first_name, @last_name, @email)
    @user_id = user.id
    @user_created_at = user.created_at
  end
end

Just like inputs, instance variables of the same name are created and exposed inside of the perform method. By defining them as outputs, the task expects them to be populated with a value of the given type after perform has been called. If outputs are not populated as expected, the task will fail and the offending outputs will be reported.

Summaries

When you call the run class method on a task, it returns a Summary:

summary = MyTask.run

A task is considered successful if:

  • All inputs passed validation (no issues were added),
  • There were no uncaught exceptions raised while executing the perform method,
  • Outputs were populated with values of the expected type at the end of the perform method.

You can ask a summary if the task was successful:

summary = MyTask.run
if summary.successful?
  # celebrate
end

If the task was successful, then task outputs can be accessed directly via getter methods on the summary. For example, using our CreateUser task above:

summary = CreateUser.run("Bob", "McBobberson", "bob@bob.com")

if summary.successful?
  puts summary.user_id
  puts summary.user_created_at
end

If the task was unsuccessful, then attempting to access its outputs will raise an exception. For this reason, you should always make sure to call successful? before calling the output getters.

Anything that would cause a task to be considered unsuccessful is called an issue. You can retrieve issues from unsuccessful tasks by calling the issues method on the task summary:

summary = CreateUser.run("Bob", "McBobberson", "bob@bob.bob")

if summary.successful?
  # celebrate, access all of the outputs you want
else
  puts summary.issues # => { :email => ["cannot end with bob"] }
end

Issues are added on a per-field basis. An uncaught exception during execution of the perform method will be added as a :perform issue.

There are some other handy methods available for summaries:

summary = CreateUser.run(...)

# Retrieve the time that this task began to run.
summary.began_at

# Retrieve the total runtime of the task.
summary.runtime

# Retrieve the time that this task finished.
summary.finished_at

Contributing

  1. Fork it ( https://github.com/calebuharrison/spatch/fork )
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

Contributors

Repository

spatch

Owner
Statistic
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  • 0
  • almost 7 years ago
  • January 30, 2018
License

MIT License

Links
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