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# File 'lib/searchkick/query.rb', line 6
def initialize(klass, term, options = {})
if term.is_a?(Hash)
options = term
term = "*"
else
term = term.to_s
end
@klass = klass
@term = term
@options = options
below12 = Gem::Version.new(Searchkick.server_version) < Gem::Version.new("1.2")
below14 = Gem::Version.new(Searchkick.server_version) < Gem::Version.new("1.4")
boost_fields = {}
fields =
if options[:fields]
if options[:autocomplete]
options[:fields].map{|f| "#{f}.autocomplete" }
else
options[:fields].map do |value|
k, v = value.is_a?(Hash) ? value.to_a.first : [value, :word]
k2, boost = k.to_s.split("^", 2)
field = "#{k2}.#{v == :word ? "analyzed" : v}"
boost_fields[field] = boost.to_f if boost
field
end
end
else
if options[:autocomplete]
(searchkick_options[:autocomplete] || []).map{|f| "#{f}.autocomplete" }
else
["_all"]
end
end
operator = options[:operator] || (options[:partial] ? "or" : "and")
page = [options[:page].to_i, 1].max
per_page = (options[:limit] || options[:per_page] || 100000).to_i
padding = [options[:padding].to_i, 0].max
offset = options[:offset] || (page - 1) * per_page + padding
load = options[:load].nil? ? true : options[:load]
conversions_field = searchkick_options[:conversions]
personalize_field = searchkick_options[:personalize]
all = term == "*"
facet_limits = {}
options[:json] ||= options[:body]
if options[:json]
payload = options[:json]
else
if options[:query]
payload = options[:query]
elsif options[:similar]
payload = {
more_like_this: {
fields: fields,
like_text: term,
min_doc_freq: 1,
min_term_freq: 1,
analyzer: "searchkick_search2"
}
}
elsif all
payload = {
match_all: {}
}
else
if options[:autocomplete]
payload = {
multi_match: {
fields: fields,
query: term,
analyzer: "searchkick_autocomplete_search"
}
}
else
queries = []
fields.each do |field|
qs = []
factor = boost_fields[field] || 1
shared_options = {
query: term,
operator: operator,
boost: factor
}
if field == "_all" or field.end_with?(".analyzed")
shared_options[:cutoff_frequency] = 0.001 unless operator == "and"
qs.concat [
shared_options.merge(boost: 10 * factor, analyzer: "searchkick_search"),
shared_options.merge(boost: 10 * factor, analyzer: "searchkick_search2")
]
misspellings = options.has_key?(:misspellings) ? options[:misspellings] : options[:mispellings] if misspellings != false
edit_distance = (misspellings.is_a?(Hash) && (misspellings[:edit_distance] || misspellings[:distance])) || 1
qs.concat [
shared_options.merge(fuzziness: edit_distance, max_expansions: 3, analyzer: "searchkick_search"),
shared_options.merge(fuzziness: edit_distance, max_expansions: 3, analyzer: "searchkick_search2")
]
end
elsif field.end_with?(".exact")
f = field.split(".")[0..-2].join(".")
queries << {match: {f => shared_options.merge(analyzer: "keyword")}}
else
analyzer = field.match(/\.word_(start|middle|end)\z/) ? "searchkick_word_search" : "searchkick_autocomplete_search"
qs << shared_options.merge(analyzer: analyzer)
end
queries.concat(qs.map{|q| {match: {field => q}} })
end
payload = {
dis_max: {
queries: queries
}
}
end
if conversions_field and options[:conversions] != false
script_score =
if below12
{script_score: {script: "doc['count'].value"}}
else
{field_value_factor: {field: "count"}}
end
payload = {
bool: {
must: payload,
should: {
nested: {
path: conversions_field,
score_mode: "total",
query: {
function_score: {
boost_mode: "replace",
query: {
match: {
query: term
}
}
}.merge(script_score)
}
}
}
}
}
end
end
custom_filters = []
boost_by = options[:boost_by] || {}
if boost_by.is_a?(Array)
boost_by = Hash[ boost_by.map{|f| [f, {factor: 1}] } ]
end
if options[:boost]
boost_by[options[:boost]] = {factor: 1}
end
boost_by.each do |field, value|
script_score =
if below12
{script_score: {script: "#{value[:factor].to_f} * log(doc['#{field}'].value + 2.718281828)"}}
else
{field_value_factor: {field: field, factor: value[:factor].to_f, modifier: "ln2p"}}
end
custom_filters << {
filter: {
exists: {
field: field
}
}
}.merge(script_score)
end
boost_where = options[:boost_where] || {}
if options[:user_id] and personalize_field
boost_where[personalize_field] = options[:user_id]
end
if options[:personalize]
boost_where = boost_where.merge(options[:personalize])
end
boost_where.each do |field, value|
if value.is_a?(Array) and value.first.is_a?(Hash)
value.each do |value_factor|
value, factor = value_factor[:value], value_factor[:factor]
custom_filters << custom_filter(field, value, factor)
end
elsif value.is_a?(Hash)
value, factor = value[:value], value[:factor]
custom_filters << custom_filter(field, value, factor)
else
factor = 1000
custom_filters << custom_filter(field, value, factor)
end
end
boost_by_distance = options[:boost_by_distance]
if boost_by_distance
boost_by_distance = {function: :gauss, scale: "5mi"}.merge(boost_by_distance)
if !boost_by_distance[:field] or !boost_by_distance[:origin]
raise ArgumentError, "boost_by_distance requires :field and :origin"
end
function_params = boost_by_distance.select{|k,v| [:origin, :scale, :offset, :decay].include?(k) }
function_params[:origin] = function_params[:origin].reverse
custom_filters << {
boost_by_distance[:function] => {
boost_by_distance[:field] => function_params
}
}
end
if custom_filters.any?
payload = {
function_score: {
functions: custom_filters,
query: payload,
score_mode: "sum"
}
}
end
payload = {
query: payload,
size: per_page,
from: offset
}
payload[:explain] = options[:explain] if options[:explain]
if options[:order]
order = options[:order].is_a?(Enumerable) ? options[:order] : {options[:order] => :asc}
payload[:sort] = order.is_a?(Array) ? order : Hash[ order.map{|k, v| [k.to_s == "id" ? :_id : k, v] } ]
end
filters = where_filters(options[:where])
if filters.any?
payload[:filter] = {
and: filters
}
end
if options[:facets]
facets = options[:facets] || {}
if facets.is_a?(Array) facets = Hash[ facets.map{|f| [f, {}] } ]
end
payload[:facets] = {}
facets.each do |field, facet_options|
size = facet_options[:limit] ? facet_options[:limit] + 150 : 100000
if facet_options[:ranges]
payload[:facets][field] = {
range: {
field.to_sym => facet_options[:ranges]
}
}
elsif facet_options[:stats]
payload[:facets][field] = {
terms_stats: {
key_field: field,
value_script: below14 ? "doc.score" : "_score",
size: size
}
}
else
payload[:facets][field] = {
terms: {
field: field,
size: size
}
}
end
facet_limits[field] = facet_options[:limit] if facet_options[:limit]
facet_options.deep_merge!(where: options[:where].reject{|k| k == field}) if options[:smart_facets] == true
facet_filters = where_filters(facet_options[:where])
if facet_filters.any?
payload[:facets][field][:facet_filter] = {
and: {
filters: facet_filters
}
}
end
end
end
if options[:suggest]
suggest_fields = (searchkick_options[:suggest] || []).map(&:to_s)
if options[:fields]
suggest_fields = suggest_fields & options[:fields].map{|v| (v.is_a?(Hash) ? v.keys.first : v).to_s.split("^", 2).first }
end
if suggest_fields.any?
payload[:suggest] = {text: term}
suggest_fields.each do |field|
payload[:suggest][field] = {
phrase: {
field: "#{field}.suggest"
}
}
end
end
end
if options[:highlight]
payload[:highlight] = {
fields: Hash[ fields.map{|f| [f, {}] } ]
}
if options[:highlight].is_a?(Hash)
if tag = options[:highlight][:tag]
payload[:highlight][:pre_tags] = [tag]
payload[:highlight][:post_tags] = [tag.to_s.gsub(/\A</, "</")]
end
highlight_fields = options[:highlight][:fields]
if highlight_fields
payload[:highlight][:fields] = {}
highlight_fields.each do |name, opts|
payload[:highlight][:fields]["#{name}.analyzed"] = opts || {}
end
end
end
end
if options[:select]
payload[:fields] = options[:select] if options[:select] != true
elsif load
payload[:fields] = []
end
if options[:type] or klass != searchkick_klass
@type = [options[:type] || klass].flatten.map{|v| searchkick_index.klass_document_type(v) }
end
end
@body = payload
@facet_limits = facet_limits
@page = page
@per_page = per_page
@padding = padding
@load = load
end
|