FunctionalLightService
Table of Content
- Requirements
- Installation
- Why FunctionalLightService?
- Stopping the Series of Actions
- Failing the Context
- Skipping the Rest of the Actions
- Benchmarking Actions with Around Advice
- Before and After Action Hooks
- Key Aliases
- Logging
- Error Codes
- Action Rollback
- Localizing Messages
- Logic in Organizers
- ContextFactory for Faster Action Testing
- Functional programming
- Pattern
- Usage
- Result: Success & Failure
- Result Chaining
- Complex Example in a Builder Action
- Pattern matching
- Option
- Coercion
- Enum
- Maybe
- Usage
Requirements
This gem requires ruby >= 2.5.0
Installation
Add this line to your application's Gemfile:
gem 'functional-light-service'
And then execute:
$ bundle
Or install it yourself as:
$ gem install functional-light-service
Why FunctionalLightService?
While i was studying the functional programming in Ruby, i came across this fantastic gem Deterministic, that it simplified my the writing of my Ruby code with a functional approach. I used deterministic making extensive use of the in_sequence method, that allowed me to concatenate a series of actions in sequence, if all method that i call work nice without exception, it returned me a modad with the status Success (), in case of failure the rest of the actions was not executed, and return a monad with the status Failure ().
I writing this code:
class Foo
include Deterministic::Prelude
def call(input)
result = in_sequence do
get(:sanitized_input) { sanitize(input) }
and_then { validate(sanitized_input) }
and_then { connect_db }
get(:user) { get_user(sanitized_input) }
and_yield { print_response(user) }
end
logger.warn(result.value) if result.failure?
rescue StandardError => e
logger.fatal(e.message)
end
def sanitize(input)
sanitized_input = {}
sanitized_input[:name] = input[:name].downcase
sanitized_input[:password] = input[:password].downcase
Success(sanitized_input)
end
def validate(sanitized_input)
try! do
raise "Not allow empty name" if sanitized_input[:name].empty?
raise "Not allow empty password" if sanitized_input[:password].empty?
end.map_err { |n| Failure(n.message) }
end
def connect_db
try! do
raise "Error connection to db" if rand(0..1) == 1
end.map_err { |n| Failure(n.message) }
end
def get_user(sanitized_input)
user = FAKEDB.find do |_k, v|
sanitized_input[:name] == v[:name] && sanitized_input[:password] == v[:password]
end
user.nil? ? Failure("Name or password error") : Success(user)
end
def print_response(user)
Success(logger.info("Login successful id: #{user[0]} name: #{user[1][:name]}"))
end
end
Foo.new.call(:name => "foo", :password => "bar")
At a certain point I felt the need to better structure my code and every action had its context. accidentally I came across in this fantastic gem light-service, that did just what I wanted, it allows me to separate the business and logic, organize the actions in sequence, and write my actions in separate classes with each its context
class Foo
extend LightService::Organizer
def self.call(name: "", password: "")
result = with(:name => name, :password => password).reduce(actions)
logger.warn(result.message) if result.failure?
end
def self.actions
[
Sanitize,
Validate,
ConnectDb,
GetUser,
PrintResponse
]
end
end
class Sanitize
extend LightService::Action
expects :name, :password
promises :sanitized_input
executed do |ctx|
sanitized_input = {}
sanitized_input[:name] = ctx.name.downcase
sanitized_input[:password] = ctx.password.downcase
ctx.sanitized_input = sanitized_input
end
end
class Validate
extend LightService::Action
expects :sanitized_input
executed do |ctx|
ctx.fail_and_return!("Not allow empty name") if ctx.sanitized_input[:name].empty?
ctx.fail_and_return!("Not allow empty password") if ctx.sanitized_input[:password].empty?
end
end
class ConnectDb
extend LightService::Action
executed do |ctx|
raise "Error connection to db"
rescue StandardError => e
ctx.fail!(e.message) if rand(0..1) == 1
end
# private_class_method :..
end
class GetUser
extend LightService::Action
expects :sanitized_input
promises :user
executed do |ctx|
user = FAKEDB.find do |_k, v|
ctx.sanitized_input[:name] == v[:name] && ctx.sanitized_input[:password] == v[:password]
end
ctx.fail_and_return!("Name or password error") if user.nil?
ctx.user = user
end
end
class PrintResponse
extend LightService::Action
expects :user
executed do |ctx|
logger.info("Login successful id: #{ctx.user[0]} name: #{ctx.user[1][:name]}")
end
end
Foo.call(:name => "foo", :password => "bar")
But in this case I lost the power of functional programming that deterministic gave me, why not take the best of two world, this is the reason that brought me make this gem. Now I can use same same feature that light-service give me with the power functional programming.
class Foo
extend FunctionalLightService::Organizer
def self.call(name: "", password: "")
result = with(:name => name, :password => password).reduce(actions)
logger.warn(result.message) if result.failure?
end
def self.actions
[
Sanitize,
Validate,
ConnectDb,
GetUser,
PrintResponse
]
end
end
class Sanitize
extend FunctionalLightService::Action
expects :name, :password
promises :sanitized_input
executed do |ctx|
name = ctx.name
password = ctx.password
ctx.sanitized_input = downcase(name, password).value
end
def self.downcase(name, password)
ctx.try! do
{
:name => name.downcase,
:password => password.downcase
}
end.map_err { ctx.fail!("Error nel method downcase") }
end
private_class_method :downcase
end
class Validate
extend FunctionalLightService::Action
expects :sanitized_input
executed do |ctx|
validate_params(ctx.sanitized_input).match do
None() { ctx.Success(0) }
Some() { |errors| ctx.fail_and_return!(errors) }
end
end
def self.validate_params(params)
return ctx.Some("Not allow empty name") if ctx.Option.any?(params[:name]).none?
return ctx.Some("Not allow empty password") if ctx.Option.any?(params[:password]).none?
ctx.None
end
private_class_method :validate_params
end
class ConnectDb
extend FunctionalLightService::Action
executed do |ctx|
ctx.try! do
raise "Error connection to db" if rand(0..1) == 1
end.map_err { |n| ctx.fail!(n.message) }
end
end
class GetUser
extend FunctionalLightService::Action
expects :sanitized_input
promises :user
executed do |ctx|
user = Success(ctx.sanitized_input[:name]) >> method(:fetch_name) >> method(:check_password)
ctx.user = user.value
end
def self.fetch_name(name)
records = FAKEDB.select { |_k, v| name == v[:name] }
ctx.fail_and_return!("Name not found in DB") if records.empty?
Success(records)
end
def self.check_password(records)
record = records.select { |_k, v| ctx.sanitized_input[:password] == v[:password] }
return ctx.fail_and_return!("Password is not correct") if record.empty?
Success(record)
end
private_class_method :fetch_name, :check_password
end
class PrintResponse
extend FunctionalLightService::Action
expects :user
executed do |ctx|
id = ctx.user.keys[0]
name = ctx.user.values[0][:name]
logger.info("Login successful id: #{id} name: #{name}")
end
end
Foo.call(:name => "foo", :password => "bar")
Stopping the Series of Actions
When nothing unexpected happens during the organizer's call, the returned context
will be successful. Here is how you can check for this:
class SomeController < ApplicationController
def index
result_context = SomeOrganizer.call(current_user.id)
if result_context.success?
redirect_to foo_path, :notice => "Everything went OK! Thanks!"
else
flash[:error] = result_context.message
render :action => "new"
end
end
end
However, sometimes not everything will play out as you expect it. An external API call might not be available or some complex business logic will need to stop the processing of the Series of Actions. You have two options to stop the call chain:
- Failing the context
- Skipping the rest of the actions
Failing the Context
When something goes wrong in an action and you want to halt the chain, you need to call fail!
on the context object. This will push the context in a failure state (context.failure? # will evalute to true
).
The context's fail!
method can take an optional message argument, this message might help describing what went wrong.
In case you need to return immediately from the point of failure, you have to do that by calling next context
.
In case you want to fail the context and stop the execution of the executed block, use the fail_and_return!('something went wrong')
method.
This will immediately leave the block, you don't need to call next context
to return from the block.
Here is an example:
class SubmitsOrderAction
extend FunctionalLightService::Action
expects :order, :mailer
executed do |context|
unless context.order.submit_order_successful?
context.fail_and_return!("Failed to submit the order")
end
# This won't be executed
context.mailer.send_order_notification!
end
end
In the example above the organizer called 4 actions. The first 2 actions got executed successfully. The 3rd had a failure, that pushed the context into a failure state and the 4th action was skipped.
Skipping the rest of the actions
You can skip the rest of the actions by calling context.skip_remaining!
. This behaves very similarly to the above-mentioned fail!
mechanism, except this will not push the context into a failure state.
A good use case for this is executing the first couple of action and based on a check you might not need to execute the rest.
Here is an example of how you do it:
class ChecksOrderStatusAction
extend FunctionalLightService::Action
expects :order
executed do |context|
if context.order.send_notification?
context.skip_remaining!("Everything is good, no need to execute the rest of the actions")
end
end
end
In the example above the organizer called 4 actions. The first 2 actions got executed successfully. The 3rd decided to skip the rest, the 4th action was not invoked. The context was successful.
Benchmarking Actions with Around Advice
Benchmarking your action is needed when you profile the series of actions. You could add benchmarking logic to each and every action, however, that would blur the business logic you have in your actions.
Take advantage of the organizer's around_each
method, which wraps the action calls as its reducing them in order.
Check out this example:
class LogDuration
def self.call(context)
start_time = Time.now
result = yield
duration = Time.now - start_time
FunctionalLightService::Configuration.logger.info(
:action => context.current_action,
:duration => duration
)
result
end
end
class CalculatesTax
extend FunctionalLightService::Organizer
def self.call(order)
with(:order => order).around_each(LogDuration).reduce(
LooksUpTaxPercentageAction,
CalculatesOrderTaxAction,
ProvidesFreeShippingAction
)
end
end
Any object passed into around_each
must respond to #call with two arguments: the action name and the context it will execute with. It is also passed a block, where FunctionalLightService's action execution will be done in, so the result must be returned. While this is a little work, it also gives you before and after state access to the data for any auditing and/or checks you may need to accomplish.
Before and After Action Hooks
In case you need to inject code right before and after the actions are executed, you can use the before_actions
and after_actions
hooks. It accepts one or multiple lambdas that the Action implementation will invoke. This addition to FunctionalLightService is a great way to decouple instrumentation from business logic.
Consider this code:
class SomeOrganizer
extend FunctionalLightService::Organizer
def self.call(ctx)
with(ctx).reduce(actions)
end
def self.actions
[
OneAction,
TwoAction,
ThreeAction
]
end
end
class TwoAction
extend FunctionalLightService::Action
expects :user, :logger
executed do |ctx|
# Logging information
if ctx.user.role == 'admin'
ctx.logger.info('admin is doing something')
end
ctx.user.do_something
end
end
The logging logic makes TwoAction
more complex, there is more code for logging than for business logic.
You have two options to decouple instrumentation from real logic with before_actions
and after_actions
hooks:
- Declare your hooks in the Organizer
- Attach hooks to the Organizer from the outside
This is how you can declaratively add before and after hooks to the Organizer:
class SomeOrganizer
extend FunctionalLightService::Organizer
before_actions (lambda do |ctx|
if ctx.current_action == TwoAction
return unless ctx.user.role == 'admin'
ctx.logger.info('admin is doing something')
end
end)
after_actions (lambda do |ctx|
if ctx.current_action == TwoAction
return unless ctx.user.role == 'admin'
ctx.logger.info('admin is DONE doing something')
end
end)
def self.call(ctx)
with(ctx).reduce(actions)
end
def self.actions
[
OneAction,
TwoAction,
ThreeAction
]
end
end
class TwoAction
extend FunctionalLightService::Action
expects :user
executed do |ctx|
ctx.user.do_something
end
end
Note how the action has no logging logic after this change. Also, you can target before and after action logic for specific actions, as the ctx.current_action
will have the class name of the currently processed action. In the example above, logging will occur only for TwoAction
and not for OneAction
or ThreeAction
.
Here is how you can declaratively add before_hooks
or after_hooks
to your Organizer from the outside:
SomeOrganizer.before_actions =
lambda do |ctx|
if ctx.current_action == TwoAction
return unless ctx.user.role == 'admin'
ctx.logger.info('admin is doing something')
end
end
These ideas are originally from Aspect Oriented Programming, read more about them here.
Expects and Promises
The expects
and promises
macros are rules for the inputs/outputs of an action.
expects
describes what keys it needs to execute, and promises
makes sure the keys are in the context after the
action is reduced. If either of them are violated, a custom exception is thrown.
This is how it's used:
class FooAction
extend FunctionalLightService::Action
expects :baz
promises :bar
executed do |context|
baz = context.fetch :baz
bar = baz + 2
context[:bar] = bar
end
end
The expects
macro does a bit more for you: it pulls the value with the expected key from the context, and
makes it available to you through a reader. You can refactor the action like this:
class FooAction
extend FunctionalLightService::Action
expects :baz
promises :bar
executed do |context|
bar = context.baz + 2
context[:bar] = bar
end
end
The promises
macro will not only check if the context has the promised keys, it also sets it for you in the context if
you use the accessor with the same name. The code above can be further simplified:
class FooAction
extend FunctionalLightService::Action
expects :baz
promises :bar
executed do |context|
context.bar = context.baz + 2
end
end
Take a look at this spec to see the refactoring in action.
Key Aliases
The aliases
macro sets up pairs of keys and aliases in an organizer. Actions can access the context using the aliases.
This allows you to put together existing actions from different sources and have them work together without having to modify their code. Aliases will work with or without action expects
.
Say for example you have actions AnAction
and AnotherAction
that you've used in previous projects. AnAction
provides :my_key
but AnotherAction
needs to use that value but expects :key_alias
. You can use them together in an organizer like so:
class AnOrganizer
extend FunctionalLightService::Organizer
aliases :my_key => :key_alias
def self.call(order)
with(:order => order).reduce(
AnAction,
AnotherAction,
)
end
end
class AnAction
extend FunctionalLightService::Action
promises :my_key
executed do |context|
context.my_key = "value"
end
end
class AnotherAction
extend FunctionalLightService::Action
expects :key_alias
executed do |context|
context.key_alias # => "value"
end
end
Logging
Enable FunctionalLightService's logging to better understand what goes on within the series of actions, what's in the context or when an action fails.
Logging in FunctionalLightService is turned off by default. However, turning it on is simple. Add this line to your project's config file:
FunctionalLightService::Configuration.logger = Logger.new(STDOUT)
You can turn off the logger by setting it to nil or /dev/null
.
FunctionalLightService::Configuration.logger = Logger.new('/dev/null')
Watch the console while you are executing the workflow through the organizer. You should see something like this:
I, [DATE] INFO -- : [FunctionalLightService] - calling organizer <TestDoubles::MakesTeaAndCappuccino>
I, [DATE] INFO -- : [FunctionalLightService] - keys in context: :tea, :milk, :coffee
I, [DATE] INFO -- : [FunctionalLightService] - executing <TestDoubles::MakesTeaWithMilkAction>
I, [DATE] INFO -- : [FunctionalLightService] - expects: :tea, :milk
I, [DATE] INFO -- : [FunctionalLightService] - promises: :milk_tea
I, [DATE] INFO -- : [FunctionalLightService] - keys in context: :tea, :milk, :coffee, :milk_tea
I, [DATE] INFO -- : [FunctionalLightService] - executing <TestDoubles::MakesLatteAction>
I, [DATE] INFO -- : [FunctionalLightService] - expects: :coffee, :milk
I, [DATE] INFO -- : [FunctionalLightService] - promises: :latte
I, [DATE] INFO -- : [FunctionalLightService] - keys in context: :tea, :milk, :coffee, :milk_tea, :latte
The log provides a blueprint of the series of actions. You can see what organizer is invoked, what actions are called in what order, what do the expect and promise and most importantly what keys you have in the context after each action is executed.
The logger logs its messages with "INFO" level. The exception to this is the event when an action fails the context. That message is logged with "WARN" level:
I, [DATE] INFO -- : [FunctionalLightService] - calling organizer <TestDoubles::MakesCappuccinoAddsTwoAndFails>
I, [DATE] INFO -- : [FunctionalLightService] - keys in context: :milk, :coffee
W, [DATE] WARN -- : [FunctionalLightService] - :-((( <TestDoubles::MakesLatteAction> has failed...
W, [DATE] WARN -- : [FunctionalLightService] - context message: Can't make a latte from a milk that's too hot!
The log message will show you what message was added to the context when the action pushed the context into a failure state.
The event of skipping the rest of the actions is also captured by its logs:
I, [DATE] INFO -- : [FunctionalLightService] - calling organizer <TestDoubles::MakesCappuccinoSkipsAddsTwo>
I, [DATE] INFO -- : [FunctionalLightService] - keys in context: :milk, :coffee
I, [DATE] INFO -- : [FunctionalLightService] - ;-) <TestDoubles::MakesLatteAction> has decided to skip the rest of the actions
I, [DATE] INFO -- : [FunctionalLightService] - context message: Can't make a latte with a fatty milk like that!
You can specify the logger on the organizer level, so the organizer does not use the global logger.
class FooOrganizer
extend FunctionalLightService::Organizer
log_with Logger.new("/my/special.log")
end
Error Codes
You can add some more structure to your error handling by taking advantage of error codes in the context. Normally, when something goes wrong in your actions, you fail the process by setting the context to failure:
class FooAction
extend FunctionalLightService::Action
executed do |context|
context.fail!("I don't like what happened here.")
end
end
However, you might need to handle the errors coming from your action pipeline differently. Using an error code can help you check what type of expected error occurred in the organizer or in the actions.
class FooAction
extend FunctionalLightService::Action
executed do |context|
unless (service_call.success?)
context.fail!("Service call failed", error_code: 1001)
end
# Do something else
unless (entity.save)
context.fail!("Saving the entity failed", error_code: 2001)
end
end
end
Action Rollback
Sometimes your action has to undo what it did when an error occurs. Think about a chain of actions where you need
to persist records in your data store in one action and you have to call an external service in the next. What happens if there
is an error when you call the external service? You want to remove the records you previously saved. You can do it now with
the rolled_back
macro.
class SaveEntities
extend FunctionalLightService::Action
expects :user
executed do |context|
context.user.save!
end
rolled_back do |context|
context.user.destroy
end
end
You need to call the fail_with_rollback!
method to initiate a rollback for actions starting with the action where the failure
was triggered.
class CallExternalApi
extend FunctionalLightService::Action
executed do |context|
api_call_result = SomeAPI.save_user(context.user)
context.fail_with_rollback!("Error when calling external API") if api_call_result.failure?
end
end
Using the rolled_back
macro is optional for the actions in the chain. You shouldn't care about undoing non-persisted changes.
The actions are rolled back in reversed order from the point of failure starting with the action that triggered it.
See this acceptance test to learn more about this functionality.
You may find yourself directly using an action that can roll back by calling .execute
instead of using it from within an Organizer.
If this action fails and attempts a rollback, a FailWithRollbackError
exception will be raised. This is so that the organizer can
rollback the actions one by one. If you don't want to wrap your call to the action with a begin, rescue FailWithRollbackError
block, you can introspect the context like so, and keep your usage of the action clean:
class FooAction
extend LightService::Action
executed do |context|
# context.organized_by will be nil if run from an action,
# or will be the class name if run from an organizer
if context.organized_by.nil?
context.fail!
else
context.fail_with_rollback!
end
end
end
Localizing Messages
By default FunctionalLightService provides a mechanism for easily translating your error or success messages via I18n. You can also provide your own custom localization adapter if your application's logic is more complex than what is shown here.
class FooAction
extend FunctionalLightService::Action
executed do |context|
unless service_call.success?
context.fail!(:exceeded_api_limit)
# The failure message used here equates to:
# I18n.t(:exceeded_api_limit, scope: "foo_action.light_service.failures")
end
end
end
This also works with nested classes via the ActiveSupport #underscore
method, just as ActiveRecord performs localization lookups on models placed inside a module.
module PaymentGateway
class CaptureFunds
extend FunctionalLightService::Action
executed do |context|
if api_service.failed?
context.fail!(:funds_not_available)
end
# this failure message equates to:
# I18n.t(:funds_not_available, scope: "payment_gateway/capture_funds.light_service.failures")
end
end
end
If you need to provide custom variables for interpolation during localization, pass that along in a hash.
module PaymentGateway
class CaptureFunds
extend FunctionalLightService::Action
executed do |context|
if api_service.failed?
context.fail!(:funds_not_available, last_four: "1234")
end
# this failure message equates to:
# I18n.t(:funds_not_available, last_four: "1234", scope: "payment_gateway/capture_funds.light_service.failures")
# the translation string itself being:
# => "Unable to process your payment for account ending in %{last_four}"
end
end
end
To provide your own custom adapter, use the configuration setting and subclass the default adapter FunctionalLightService provides.
FunctionalLightService::Configuration.localization_adapter = MyLocalizer.new
# lib/my_localizer.rb
class MyLocalizer < FunctionalLightService::LocalizationAdapter
# I just want to change the default lookup path
# => "light_service.failures.payment_gateway/capture_funds"
def i18n_scope_from_class(action_class, type)
"light_service.#{type.pluralize}.#{action_class.name.underscore}"
end
end
To get the value of a fail!
or succeed!
message, simply call #message
on the returned context.
Logic in Organizers
The Organizer - Action combination works really well for simple use cases. However, as business logic gets more complex, or when FunctionalLightService is used in an ETL workflow, the code that routes the different organizers becomes very complex and imperative. Let's look at a piece of code that does basic data transformations:
class ExtractsTransformsLoadsData
def self.run(connection)
context = RetrievesConnectionInfo.call(connection)
context = PullsDataFromRemoteApi.call(context)
retrieved_items = context.retrieved_items
if retrieved_items.empty?
NotifiesEngineeringTeamAction.execute(context)
end
retrieved_items.each do |item|
context[:item] = item
TransformsData.call(context)
end
context = LoadsData.call(context)
SendsNotifications.call(context)
end
end
The FunctionalLightService::Context
is initialized with the first action, that context is passed around among organizers and actions. This code is still simpler than many out there, but it feels very imperative: it has conditionals, iterators in it. Let's see how we could make it a bit more simpler with a declarative style:
class ExtractsTransformsLoadsData
extend FunctionalLightService::Organizer
def self.call(connection)
with(:connection => connection).reduce(actions)
end
def self.actions
[
RetrievesConnectionInfo,
PullsDataFromRemoteApi,
reduce_if(->(ctx) { ctx.retrieved_items.empty? }, [
NotifiesEngineeringTeamAction
]),
iterate(:retrieved_items, [
TransformsData
]),
LoadsData,
SendsNotifications
]
end
end
This code is much easier to reason about, it's less noisy and it captures the goal of FunctionalLightService well: simple, declarative code that's easy to understand.
The 7 different constructs an organizer can have:
reduce_until
reduce_if
iterate
execute
with_callback
add_to_context
add_aliases
reduce_until
behaves like a while loop in imperative languages, it iterates until the provided predicate in the lambda evaluates to true. Take a look at this acceptance test to see how it's used.
reduce_if
will reduce the included organizers and/or actions if the predicate in the lambda evaluates to true. This acceptance test describes this functionality.
iterate
gives your iteration logic, the symbol you define there has to be in the context as a key. For example, to iterate over items you will use iterate(:items)
in your steps, the context needs to have items
as a key, otherwise it will fail. The organizer will singularize the collection name and will put the actual item into the context under that name. Remaining with the example above, each element will be accessible by the name item
for the actions in the iterate
steps. This acceptance test should provide you with an example.
To take advantage of another organizer or action, you might need to tweak the context a bit. Let's say you have a hash, and you need to iterate over its values in a series of action. To alter the context and have the values assigned into a variable, you need to create a new action with 1 line of code in it. That seems a lot of ceremony for a simple change. You can do that in a execute
method like this execute(->(ctx) { ctx[:some_values] = ctx.some_hash.values })
. This test describes how you can use it.
Use with_callback
when you want to execute actions with a deferred and controlled callback. It works similar to a Sax parser, I've used it for processing large files. The advantage of it is not having to keep large amount of data in memory. See this acceptance test as a working example.
add_to_context
can add key-value pairs on the fly to the context. This functionality is useful when you need a value injected into the context under a specific key right before the subsequent actions are executed. This test describes its functionality.
Your action needs a certain key in the context but it's under a different one? Use the function add_aliases
to alias an existing key in the context under the desired key. Take a look at this test to see an example.
ContextFactory for Faster Action Testing
As the complexity of your workflow increases, you will find yourself spending more and more time creating a context (FunctionalLightService::Context it is) for your action tests. Some of this code can be reused by clever factories, but still, you are using a context that is artificial, and can be different from what the previous actions produced. This is especially true, when you use FunctionalLightService in ETLs, where you start out with initial data and your actions are mutating its state.
Here is an example:
class SomeOrganizer
extend FunctionalLightService::Organizer
def self.call(ctx)
with(ctx).reduce(actions)
end
def self.actions
[
ETL::ParsesPayloadAction,
ETL::BuildsEnititiesAction,
ETL::SetsUpMappingsAction,
ETL::SavesEntitiesAction,
ETL::SendsNotificationAction
]
end
end
You should test your workflow from the outside, invoking the organizer’s call
method and verify that the data was properly created or updated in your data store. However, sometimes you need to zoom into one action, and setting up the context to test it is tedious work. This is where ContextFactory
can be helpful.
In order to test the third action ETL::SetsUpMappingAction
, you have to have several entities in the context. Depending on the logic you need to write code for, this could be a lot of work. However, by using the ContextFactory
in your spec, you could easily have a prepared context that’s ready for testing:
require 'spec_helper'
require 'light-service/testing'
RSpec.describe ETL::SetsUpMappingsAction do
let(:context) do
FunctionalLightService::Testing::ContextFactory
.make_from(SomeOrganizer)
.for(described_class)
.with(:payload => File.read(‘spec/data/payload.json’)
end
it ‘works like it should’ do
result = described_class.execute(context)
expect(result).to be_success
end
end
This context then can be passed to the action under test, freeing you up from the 20 lines of factory or fixture calls to create a context for your specs.
In case your organizer has more logic in its call
method, you could create your own test organizer in your specs like you can see it in this acceptance test. This is reusable in all your action tests.
Functional programming
FunctionalLightService is to help your code to be more confident, by utilizing functional programming patterns.
Patterns
FunctionalLightService provides different monads, here is a short guide, when to use which
Result: Success & Failure
- an operation which can succeed or fail
- the result (content) of of the success or failure is important
- you are building one thing
- chaining: if one fails (Failure), don't execute the rest
Option: Some & None
- an operation which returns either some result or nothing
- in case it returns nothing it is not important to know why
- you are working rather with a collection of things
- chaining: execute all and then select the successful ones (Some)
Maybe
- an object may be nil, you want to avoid endless nil? checks
Enums (Algebraic Data Types)
- roll your own pattern
Success(1).to_s # => "1"
Success(Success(1)) # => Success(1)
Failure(1).to_s # => "1"
Failure(Failure(1)) # => Failure(1)
Maps a Result
with the value a
to the same Result
with the value b
.
Success(1).fmap { |v| v + 1} # => Success(2)
Failure(1).fmap { |v| v - 1} # => Failure(0)
Maps a Result
with the value a
to another Result
with the value b
.
Success(1).bind { |v| Failure(v + 1) } # => Failure(2)
Failure(1).bind { |v| Success(v - 1) } # => Success(0)
Maps a Success
with the value a
to another Result
with the value b
. It works like #bind
but only on Success
.
Success(1).map { |n| Success(n + 1) } # => Success(2)
Failure(0).map { |n| Success(n + 1) } # => Failure(0)
Maps a Failure
with the value a
to another Result
with the value b
. It works like #bind
but only on Failure
.
Failure(1).map_err { |n| Success(n + 1) } # => Success(2)
Success(0).map_err { |n| Success(n + 1) } # => Success(0)
Success(0).try { |n| raise "Error" } # => Failure(Error)
Replaces Success a
with Result b
. If a Failure
is passed as argument, it is ignored.
Success(1).and Success(2) # => Success(2)
Failure(1).and Success(2) # => Failure(1)
Replaces Success a
with the result of the block. If a Failure
is passed as argument, it is ignored.
Success(1).and_then { Success(2) } # => Success(2)
Failure(1).and_then { Success(2) } # => Failure(1)
Replaces Failure a
with Result
. If a Failure
is passed as argument, it is ignored.
Success(1).or Success(2) # => Success(1)
Failure(1).or Success(1) # => Success(1)
Replaces Failure a
with the result of the block. If a Success
is passed as argument, it is ignored.
Success(1).or_else { Success(2) } # => Success(1)
Failure(1).or_else { |n| Success(n)} # => Success(1)
Executes the block passed, but completely ignores its result. If an error is raised within the block it will NOT be catched.
Try failable operations to return Success
or Failure
include FunctionalLightService::Prelude::Result
try! { 1 } # => Success(1)
try! { raise "hell" } # => Failure(#<RuntimeError: hell>)
You can easily chain the execution of several operations. Here we got some nice function composition. The method must be a unary function, i.e. it always takes one parameter - the context, which is passed from call to call.
The following aliases are defined
alias :>> :map
alias :<< :pipe
This allows the composition of procs or lambdas and thus allow a clear definiton of a pipeline.
Success(params) >>
validate >>
build_request << log >>
send << log >>
build_response
class Foo
extend FunctionalLightService::Action
expects :params
alias :m :method
executed do |ctx|
Success(ctx.params) >> m(:validate) >> m(:send)
end
def self.validate(params)
# do stuff
Success(validate_and_cleansed_params)
end
def self.send(clean_params)
# do stuff
Success(result)
end
end
class Bar
extend FunctionalLightService::Organizer
def self.call(params)
with(:params => params).reduce(Foo)
end
end
Bar.call # Success(3)
Chaining works with blocks (#map
is an alias for #>>
)
Success(1).map {|ctx| Success(ctx + 1)}
it also works with lambdas
Success(1) >> ->(ctx) { Success(ctx + 1) } >> ->(ctx) { Success(ctx + 1) }
and it will break the chain of execution, when it encounters a Failure
on its way
def works(ctx)
Success(1)
end
def breaks(ctx)
Failure(2)
end
def never_executed(ctx)
Success(99)
end
Success(0) >> method(:works) >> method(:breaks) >> method(:never_executed) # Failure(2)
#map
aka #>>
will not catch any exceptions raised. If you want automatic exception handling, the #try
aka #>=
will catch an error and wrap it with a failure
def error(ctx)
raise "error #{ctx}"
end
Success(1) >= method(:error) # Failure(RuntimeError(error 1))
Now that you have some result, you want to control flow by providing patterns.
#match
can match by
- success, failure, result or any
- values
- lambdas
- classes
Success(1).match do
Success() { |s| "success #{s}"}
Failure() { |f| "failure #{f}"}
end # => "success 1"
Note1: the variant's inner value(s) have been unwrapped, and passed to the block.
Note2: only the first matching pattern block will be executed, so order can be important.
Note3: you can omit block parameters if you don't use them, or you can use _
to signify that you don't care about their values. If you specify parameters, their number must match the number of values in the variant.
The result returned will be the result of the first #try
or #let
. As a side note, #try
is a monad, #let
is a functor.
Guards
Success(1).match do
Success(where { s == 1 }) { |s| "Success #{s}" }
end # => "Success 1"
Note1: the guard has access to variable names defined by the block arguments.
Note2: the guard is not evaluated using the enclosing context's self
; if you need to call methods on the enclosing scope, you must specify a receiver.
Also you can match the result class
Success([1, 2, 3]).match do
Success(where { s.is_a?(Array) }) { |s| s.first }
end # => 1
If no match was found a NoMatchError
is raised, so make sure you always cover all possible outcomes.
Success(1).match do
Failure() { |f| "you'll never get me" }
end # => NoMatchError
Matches must be exhaustive, otherwise an error will be raised, showing the variants which have not been covered.
Some(1).some? # #=> true
Some(1).none? # #=> false
None.some? # #=> false
None.none? # #=> true
Maps an Option
with the value a
to the same Option
with the value b
.
Some(1).fmap { |n| n + 1 } # => Some(2)
None.fmap { |n| n + 1 } # => None
Maps a Result
with the value a
to another Result
with the value b
.
Some(1).map { |n| Some(n + 1) } # => Some(2)
Some(1).map { |n| None } # => None
None.map { |n| Some(n + 1) } # => None
Get the inner value or provide a default for a None
. Calling #value
on a None
will raise a NoMethodError
Some(1).value # => 1
Some(1).value_or(2) # => 1
None.value # => NoMethodError
None.value_or(0) # => 0
Add the inner values of option using +
.
Some(1) + Some(1) # => Some(2)
Some([1]) + Some(1) # => TypeError: No implicit conversion
None + Some(1) # => Some(1)
Some(1) + None # => Some(1)
Some([1]) + None + Some([2]) # => Some([1, 2])
Option.any?(nil) # => None
Option.any?([]) # => None
Option.any?({}) # => None
Option.any?(1) # => Some(1)
Option.some?(nil) # => None
Option.some?([]) # => Some([])
Option.some?({}) # => Some({})
Option.some?(1) # => Some(1)
Option.try! { 1 } # => Some(1)
Option.try! { raise "error"} # => None
Some(1).match {
Some(where { s == 1 }) { |s| s + 1 }
Some() { |s| 1 }
None() { 0 }
} # => 2
All the above are implemented using enums, see their definition, for more details.
Threenum = FunctionalLightService::enum {
Nullary()
Unary(:a)
Binary(:a, :b)
}
Threenum.variants # => [:Nullary, :Unary, :Binary]
Initialize
n = Threenum.Nullary # => Threenum::Nullary.new()
n.value # => Error
u = Threenum.Unary(1) # => Threenum::Unary.new(1)
u.value # => 1
b = Threenum::Binary(2, 3) # => Threenum::Binary(2, 3)
b.value # => { a:2, b: 3 }
Pattern matching
Threenum::Unary(5).match {
Nullary() { 0 }
Unary() { |u| u }
Binary() { |a, b| a + b }
} # => 5
# or
t = Threenum::Unary(5)
Threenum.match(t) {
Nullary() { 0 }
Unary() { |u| u }
Binary() { |a, b| a + b }
} # => 5
If you want to return the whole matched object, you'll need to pass a reference to the object (second case). Note that self
refers to the scope enclosing the match
call.
def drop(n)
match {
Cons(where { n > 0 }) { |h, t| t.drop(n - 1) }
Cons() { |_, _| self }
Nil() { raise EmptyListError }
}
end
See the linked list implementation in the specs for more examples
With guard clauses
Threenum::Unary(5).match {
Nullary() { 0 }
Unary() { |u| u }
Binary(where { a.is_a?(Fixnum) && b.is_a?(Fixnum) }) { |a, b| a + b }
Binary() { |a, b| raise "Expected a, b to be numbers" }
} # => 5
Implementing methods for enums
FunctionalLightService::impl(Threenum) {
def sum
match {
Nullary() { 0 }
Unary() { |u| u }
Binary() { |a, b| a + b }
}
end
def +(other)
match {
Nullary() { other.sum }
Unary() { |a| self.sum + other.sum }
Binary() { |a, b| self.sum + other.sum }
}
end
}
Threenum.Nullary + Threenum.Unary(1) # => Unary(1)
All matches must be exhaustive, i.e. cover all variants
The simplest NullObject wrapper there can be. It adds #some?
and #null?
to Object
though.
require 'functional-light-service/functional/maybe' # you need to do this explicitly
Maybe(nil).foo # => Null
Maybe(nil).foo.bar # => Null
Maybe({a: 1})[:a] # => 1
Maybe(nil).null? # => true
Maybe({}).null? # => false
Maybe(nil).some? # => false
Maybe({}).some? # => true
Based on the refactoring example above, just create an organizer object that calls the actions in order and write code for the actions. That's it.
For further examples, please visit the project's Wiki.
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Added some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request
Huge thanks to the contributors!
Changelog
Follow the changelog in this document.
Thank You
A very special thank you to Attila Domokos for his fantastic work on LightService. A very special thank you to Piotr Zolnierek for his fantastic work on Deterministic. FunctionalLightService is inspired heavily by the concepts put to code by Attila and add some functionality taken from the excellent work of mario Piotr.
License
FunctionalLightService is released under the MIT License.