这是我的spree_elasticsearch_product_decorator.rb文件,其中包含所有搜索逻辑 模块狂欢 Product.class_eval做 包括Elasticsearch :: Model
index_name Spree::ElasticsearchSettings.index
document_type 'spree_product'
mapping _all: {"index_analyzer" => "nGram_analyzer", "search_analyzer" => "whitespace_analyzer"} do
indexes :name, type: 'multi_field' do
indexes :name, type: 'string', analyzer: 'nGram_analyzer', boost: 100
indexes :untouched, type: 'string', include_in_all: false, index: 'not_analyzed'
end
indexes :description, analyzer: 'snowball'
indexes :available_on, type: 'date', format: 'dateOptionalTime', include_in_all: false
indexes :price, type: 'double'
indexes :sku, type: 'string', index: 'not_analyzed'
indexes :taxon_ids, type: 'string', index: 'not_analyzed'
indexes :collection_ids, type: 'string', index: 'not_analyzed'
indexes :properties, type: 'string', index: 'not_analyzed'
end
def as_indexed_json(options={})
result = as_json({
methods: [:price, :sku],
only: [:available_on, :description, :name],
include: {
variants: {
only: [:sku],
include: {
option_values: {
only: [:name, :presentation]
}
}
}
}
})
result[:properties] = property_list unless property_list.empty?
result[:taxon_ids] = taxons.map(&:self_and_ancestors).flatten.uniq.map(&:id) unless taxons.empty?
result[:collection_ids] = collections.uniq.map(&:id) unless collections.empty?
result
end
# Inner class used to query elasticsearch. The idea is that the query is dynamically build based on the parameters.
class Product::ElasticsearchQuery
include ::Virtus.model
attribute :from, Integer, default: 0
attribute :price_min, Float
attribute :price_max, Float
attribute :properties, Hash
attribute :query, String
attribute :taxons, Array
attribute :collections, Array
attribute :browse_mode, Boolean
attribute :sorting, String
def to_hash
q = { match_all: {} }
unless query.blank? # nil or empty
q = { query_string: { query: query, fields: ['name^5','description','sku'], default_operator: 'AND', use_dis_max: true } }
end
query = q
and_filter = []
unless @properties.nil? || @properties.empty?
# transform properties from [{"key1" => ["value_a","value_b"]},{"key2" => ["value_a"]}
# to { terms: { properties: ["key1||value_a","key1||value_b"] }
# { terms: { properties: ["key2||value_a"] }
# This enforces "and" relation between different property values and "or" relation between same property values
properties = @properties.map {|k,v| [k].product(v)}.map do |pair|
and_filter << { terms: { properties: pair.map {|prop| prop.join("||")} } }
end
end
sorting = case @sorting
when "name_asc"
[ {"name.untouched" => { order: "asc" }}, {"price" => { order: "asc" }}, "_score" ]
when "name_desc"
[ {"name.untouched" => { order: "desc" }}, {"price" => { order: "asc" }}, "_score" ]
when "price_asc"
[ {"price" => { order: "asc" }}, {"name.untouched" => { order: "asc" }}, "_score" ]
when "price_desc"
[ {"price" => { order: "desc" }}, {"name.untouched" => { order: "asc" }}, "_score" ]
when "score"
[ "_score", {"name.untouched" => { order: "asc" }}, {"price" => { order: "asc" }} ]
else
[ {"name.untouched" => { order: "asc" }}, {"price" => { order: "asc" }}, "_score" ]
end
# facets
facets = {
price: { statistical: { field: "price" } },
properties: { terms: { field: "properties", order: "count", size: 100 } },
taxon_ids: { terms: { field: "taxon_ids", size: 1000000 } },
collection_ids: { terms: { field: "collection_ids", size: 1000000 } }
}
# basic skeleton
result = {
min_score: 0.1,
query: { filtered: {} },
sort: sorting,
from: from,
facets: facets
}
# add query and filters to filtered
result[:query][:filtered][:query] = query
# taxon and property filters have an effect on the facets
and_filter << { terms: { taxon_ids: taxons } } unless taxons.empty?
and_filter << { terms: { collection_ids: collections } } unless collections.empty?
# only return products that are available
and_filter << { range: { available_on: { lte: "now" } } }
result[:query][:filtered][:filter] = { "and" => and_filter } unless and_filter.empty?
# add price filter outside the query because it should have no effect on facets
if price_min && price_max && (price_min < price_max)
result[:filter] = { range: { price: { gte: price_min, lte: price_max } } }
end
result
end
end
private
def property_list
product_properties.map{|pp| "#{pp.property.name}||#{pp.value}"}
end
我需要以某种方式实现大小过滤器
对于每个大小,我有一个Spree :: Variant属于Spree :: Product,并在name列中存储size的值,例如 Spree :: Variant.name =“13 US”
如何使用elasticsearch按变体对产品进行排序?
感谢您的帮助!