debian-mirror-gitlab/elasticsearch-model/lib/elasticsearch/model.rb
2020-03-09 13:42:32 +05:30

220 lines
8 KiB
Ruby

require 'hashie/mash'
require 'active_support/core_ext/module/delegation'
require 'elasticsearch'
require 'elasticsearch/model/version'
require 'elasticsearch/model/hash_wrapper'
require 'elasticsearch/model/client'
require 'elasticsearch/model/multimodel'
require 'elasticsearch/model/adapter'
require 'elasticsearch/model/adapters/default'
require 'elasticsearch/model/adapters/active_record'
require 'elasticsearch/model/adapters/mongoid'
require 'elasticsearch/model/adapters/multiple'
require 'elasticsearch/model/importing'
require 'elasticsearch/model/indexing'
require 'elasticsearch/model/naming'
require 'elasticsearch/model/serializing'
require 'elasticsearch/model/searching'
require 'elasticsearch/model/callbacks'
require 'elasticsearch/model/proxy'
require 'elasticsearch/model/response'
require 'elasticsearch/model/response/base'
require 'elasticsearch/model/response/result'
require 'elasticsearch/model/response/results'
require 'elasticsearch/model/response/records'
require 'elasticsearch/model/response/pagination'
require 'elasticsearch/model/response/aggregations'
require 'elasticsearch/model/response/suggestions'
require 'elasticsearch/model/ext/active_record'
case
when defined?(::Kaminari)
Elasticsearch::Model::Response::Response.__send__ :include, Elasticsearch::Model::Response::Pagination::Kaminari
when defined?(::WillPaginate)
Elasticsearch::Model::Response::Response.__send__ :include, Elasticsearch::Model::Response::Pagination::WillPaginate
end
module Elasticsearch
# Elasticsearch integration for Ruby models
# =========================================
#
# `Elasticsearch::Model` contains modules for integrating the Elasticsearch search and analytical engine
# with ActiveModel-based classes, or models, for the Ruby programming language.
#
# It facilitates importing your data into an index, automatically updating it when a record changes,
# searching the specific index, setting up the index mapping or the model JSON serialization.
#
# When the `Elasticsearch::Model` module is included in your class, it automatically extends it
# with the functionality; see {Elasticsearch::Model.included}. Most methods are available via
# the `__elasticsearch__` class and instance method proxies.
#
# It is possible to include/extend the model with the corresponding
# modules directly, if that is desired:
#
# MyModel.__send__ :extend, Elasticsearch::Model::Client::ClassMethods
# MyModel.__send__ :include, Elasticsearch::Model::Client::InstanceMethods
# MyModel.__send__ :extend, Elasticsearch::Model::Searching::ClassMethods
# # ...
#
module Model
METHODS = [:search, :mapping, :mappings, :settings, :index_name, :document_type, :import]
# Adds the `Elasticsearch::Model` functionality to the including class.
#
# * Creates the `__elasticsearch__` class and instance methods, pointing to the proxy object
# * Includes the necessary modules in the proxy classes
# * Sets up delegation for crucial methods such as `search`, etc.
#
# @example Include the module in the `Article` model definition
#
# class Article < ActiveRecord::Base
# include Elasticsearch::Model
# end
#
# @example Inject the module into the `Article` model during run time
#
# Article.__send__ :include, Elasticsearch::Model
#
#
def self.included(base)
base.class_eval do
include Elasticsearch::Model::Proxy
Elasticsearch::Model::Proxy::ClassMethodsProxy.class_eval do
include Elasticsearch::Model::Client::ClassMethods
include Elasticsearch::Model::Naming::ClassMethods
include Elasticsearch::Model::Indexing::ClassMethods
include Elasticsearch::Model::Searching::ClassMethods
end
Elasticsearch::Model::Proxy::InstanceMethodsProxy.class_eval do
include Elasticsearch::Model::Client::InstanceMethods
include Elasticsearch::Model::Naming::InstanceMethods
include Elasticsearch::Model::Indexing::InstanceMethods
include Elasticsearch::Model::Serializing::InstanceMethods
end
Elasticsearch::Model::Proxy::InstanceMethodsProxy.class_eval <<-CODE, __FILE__, __LINE__ + 1
def as_indexed_json(options={})
target.respond_to?(:as_indexed_json) ? target.__send__(:as_indexed_json, options) : super
end
CODE
# Delegate important methods to the `__elasticsearch__` proxy, unless they are defined already
#
class << self
METHODS.each do |method|
delegate method, to: :__elasticsearch__ unless self.public_instance_methods.include?(method)
end
end
# Mix the importing module into the proxy
#
self.__elasticsearch__.class_eval do
include Elasticsearch::Model::Importing::ClassMethods
include Adapter.from_class(base).importing_mixin
end
# Add to the registry if it's a class (and not in intermediate module)
Registry.add(base) if base.is_a?(Class)
end
end
module ClassMethods
# Get the client common for all models
#
# @example Get the client
#
# Elasticsearch::Model.client
# => #<Elasticsearch::Transport::Client:0x007f96a7d0d000 @transport=... >
#
def client
@client ||= Elasticsearch::Client.new
end
# Set the client for all models
#
# @example Configure (set) the client for all models
#
# Elasticsearch::Model.client = Elasticsearch::Client.new host: 'http://localhost:9200', tracer: true
# => #<Elasticsearch::Transport::Client:0x007f96a6dd0d80 @transport=... >
#
# @note You have to set the client before you call Elasticsearch methods on the model,
# or set it directly on the model; see {Elasticsearch::Model::Client::ClassMethods#client}
#
def client=(client)
@client = client
end
# Search across multiple models
#
# By default, all models which include the `Elasticsearch::Model` module are searched
#
# @param query_or_payload [String,Hash,Object] The search request definition
# (string, JSON, Hash, or object responding to `to_hash`)
# @param models [Array] The Array of Model objects to search
# @param options [Hash] Optional parameters to be passed to the Elasticsearch client
#
# @return [Elasticsearch::Model::Response::Response]
#
# @example Search across specific models
#
# Elasticsearch::Model.search('foo', [Author, Article])
#
# @example Search across all models which include the `Elasticsearch::Model` module
#
# Elasticsearch::Model.search('foo')
#
def search(query_or_payload, models=[], options={})
models = Multimodel.new(models)
request = Searching::SearchRequest.new(models, query_or_payload, options)
Response::Response.new(models, request)
end
# Check if inheritance is enabled
#
# @note Inheritance is disabled by default.
#
def inheritance_enabled
@settings[:inheritance_enabled] ||= false
end
# Enable inheritance of index_name and document_type
#
# @example Enable inheritance
#
# Elasticsearch::Model.inheritance_enabled = true
#
def inheritance_enabled=(inheritance_enabled)
warn STI_DEPRECATION_WARNING if inheritance_enabled
@settings[:inheritance_enabled] = inheritance_enabled
end
# Access the module settings
#
def settings
@settings ||= {}
end
private
STI_DEPRECATION_WARNING = "DEPRECATION WARNING: Support for Single Table Inheritance (STI) is deprecated " +
"and will be removed in version 7.0.0.\nPlease save different model documents in separate indices and refer " +
"to the Elasticsearch documentation for more information.".freeze
end
extend ClassMethods
class NotImplemented < NoMethodError; end
end
end