A persistence framework for Lotus.
It delivers a convenient public API to execute queries and commands against a database. The architecture eases keeping the business logic (entities) separated from details such as persistence or validations.
It implements the following concepts:
- Entity - An object defined by its identity.
- Repository - An object that mediates between the entities and the persistence layer.
- Data Mapper - A persistence mapper that keep entities independent from database details.
- Adapter – A database adapter.
- Query - An object that represents a database query.
Like all the other Lotus components, it can be used as a standalone framework or within a full Lotus application.
- Home page: http://lotusrb.org
- Mailing List: http://lotusrb.org/mailing-list
- API Doc: http://rdoc.info/gems/lotus-model
- Bugs/Issues: https://github.com/lotus/model/issues
- Support: http://stackoverflow.com/questions/tagged/lotus-ruby
- Chat: https://gitter.im/lotus/chat
Lotus::Model supports Ruby (MRI) 2+
Add this line to your application's Gemfile:
gem 'lotus-model'
And then execute:
$ bundle
Or install it yourself as:
$ gem install lotus-model
An object that is defined by its identity.
An entity is the core of an application, where the part of the domain logic is implemented. It's a small, cohesive object that expresses coherent and meaningful behaviors.
It deals with one and only one responsibility that is pertinent to the domain of the application, without caring about details such as persistence or validations.
This simplicity of design allows developers to focus on behaviors, or message passing if you will, which is the quintessence of Object Oriented Programming.
require 'lotus/model'
class Person
include Lotus::Entity
self.attributes = :name, :age
end
When a class includes Lotus::Entity
it will receive the following interface:
#id
#id=
#initialize(attributes = {})
Also, the usage of .attributes=
defines accessors for the given attribute names.
If we expand the code above in pure Ruby, it would be:
class Person
attr_accessor :id, :name, :age
def initialize(attributes = {})
@id, @name, @age = attributes.values_at(:id, :name, :age)
end
end
Indeed, Lotus::Model ships Entity
only for developers's convenience, but the
rest of the framework is able to accept any object that implements the interface above.
An object that mediates between entities and the persistence layer. It offers a standardized API to query and execute commands on a database.
A repository is storage independent, all the queries and commands are delegated to the current adapter.
This architecture has several advantages:
-
Applications depend on a standard API, instead of low level details (Dependency Inversion principle)
-
Applications depend on a stable API, that doesn't change if the storage changes
-
Developers can postpone storage decisions
-
Confines persistence logic at a low level
-
Multiple data sources can easily coexist in an application
When a class includes Lotus::Repository
, it will receive the following interface:
.persist(entity)
– Create or update an entity.create(entity)
– Create a record for the given entity.update(entity)
– Update the record corresponding to the given entity.delete(entity)
– Delete the record corresponding to the given entity.all
- Fetch all the entities from the collection.find
- Fetch an entity from the collection by its ID.first
- Fetch the first entity from the collection.last
- Fetch the last entity from the collection.clear
- Delete all the records from the collection.query
- Fabricates a query object
A collection is a homogenous set of records. It corresponds to a table for a SQL database or to a MongoDB collection.
All the queries are private. This decision forces developers to define intention revealing API, instead leak storage API details outside of a repository.
Look at the following code:
ArticleRepository.where(author_id: 23).order(:published_at).limit(8)
This is bad for a variety of reasons:
-
The caller has an intimate knowledge of the internal mechanisms of the Repository.
-
The caller works on several levels of abstraction.
-
It doesn't express a clear intent, it's just a chain of methods.
-
The caller can't be easily tested in isolation.
-
If we change the storage, we are forced to change the code of the caller(s).
There is a better way:
require 'lotus/model'
class ArticleRepository
include Lotus::Repository
def self.most_recent_by_author(author, limit = 8)
query do
where(author_id: author.id).
order(:published_at)
end.limit(limit)
end
end
This is a huge improvement, because:
-
The caller doesn't know how the repository fetches the entities.
-
The caller works on a single level of abstraction. It doesn't even know about records, only works with entities.
-
It expresses a clear intent.
-
The caller can be easily tested in isolation. It's just a matter of stubbing this method.
-
If we change the storage, the callers aren't affected.
Here is an extended example of a repository that uses the SQL adapter.
class ArticleRepository
include Lotus::Repository
def self.most_recent_by_author(author, limit = 8)
query do
where(author_id: author.id).
desc(:id).
limit(limit)
end
end
def self.most_recent_published_by_author(author, limit = 8)
most_recent_by_author(author, limit).published
end
def self.published
query do
where(published: true)
end
end
def self.drafts
exclude published
end
def self.rank
published.desc(:comments_count)
end
def self.best_article_ever
rank.limit(1)
end
def self.comments_average
query.average(:comments_count)
end
end
Your models and repositories have to be in the same namespace. Otherwise Lotus::Model::Mapper#load!
will not initialize your repositories correctly.
class MyLotusApp::Model::User
include Lotus::Entity
# your code here
end
# This repository will work...
class MyLotusApp::Model::UserRepository
include Lotus::Repository
# your code here
end
# ...this will not!
class MyLotusApp::Repository::UserRepository
include Lotus::Repository
# your code here
end
A persistence mapper that keeps entities independent from database details. It is database independent, it can work with SQL, document, and even with key/value stores.
The role of a data mapper is to translate database columns into the corresponding attribute of an entity.
require 'lotus/model'
mapper = Lotus::Model::Mapper.new do
collection :users do
entity User
attribute :id, Integer
attribute :name, String
attribute :age, Integer
end
end
For simplicity sake, imagine that the mapper above is used with a SQL database.
We use #collection
to indicate the name of the table that we want to map, #entity
to indicate the class that we want to associate.
In the end, each #attribute
call, is to associate the column with a Ruby type.
For advanced mapping and legacy databases, please have a look at the API doc.
An adapter is a concrete implementation of persistence logic for a specific database. Lotus::Model is shipped with two adapters:
- SqlAdapter
- MemoryAdapter
An adapter can be associated with one or multiple repositories.
require 'pg'
require 'lotus/model'
require 'lotus/model/adapters/sql_adapter'
mapper = Lotus::Model::Mapper.new do
# ...
end
adapter = Lotus::Model::Adapters::SqlAdapter.new(mapper, 'postgres://host:port/database')
PersonRepository.adapter = adapter
ArticleRepository.adapter = adapter
In the example above, we reuse the adapter because the target tables (people
and articles
) are defined in the same database.
As rule of thumb, one adapter instance per database.
An object that implements an interface for quering the database. This interface may vary, according to the adapter's specifications. Think of an adapter for Redis, it will probably employ different strategies to filter records than an SQL query object.
- A repository must be named after an entity, by appending
"Repository"
to the entity class name (eg.Article
=>ArticleRepository
).
- Non-standard respository can be configured for an entity, by setting
repository
on the collection.
require 'lotus/model'
mapper = Lotus::Model::Mapper.new do
collection :users do
entity User
repository EmployeeRepository
end
end
Lotus::Model's is thread safe during the runtime, but it isn't during the loading process. The mapper compiles some code internally, be sure to safely load it before your application starts.
Mutex.new.synchronize do
mapper.load!
end
This is not necessary, when Lotus::Model is used within a Lotus application.
For a full working example, have a look at EXAMPLE.md. Please remember that the setup code is only required for the standalone usage of Lotus::Model. A Lotus application will handle that configurations for you.
Lotus::Model uses Semantic Versioning 2.0.0
- Fork it ( https://github.com/lotus/model/fork )
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request
Copyright 2014 Luca Guidi – Released under MIT License