* Add more accurate hashtag search Using ElasticSearch to index hashtags with edge n-grams and score them by usage within the last 7 days since last activity. Only hashtags that have been reviewed and are listable can appear in searches, unless they match the query exactly * Fix search analyzer dropping non-ascii characters
82 lines
1.5 KiB
Ruby
82 lines
1.5 KiB
Ruby
# frozen_string_literal: true
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class TagSearchService < BaseService
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def call(query, options = {})
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@query = query.strip.gsub(/\A#/, '')
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@offset = options[:offset].to_i
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@limit = options[:limit].to_i
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if Chewy.enabled?
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from_elasticsearch
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else
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from_database
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end
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end
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private
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def from_elasticsearch
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query = {
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function_score: {
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query: {
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multi_match: {
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query: @query,
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fields: %w(name.edge_ngram name),
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type: 'most_fields',
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operator: 'and',
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},
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},
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functions: [
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{
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field_value_factor: {
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field: 'usage',
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modifier: 'log2p',
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missing: 0,
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},
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},
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{
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gauss: {
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last_status_at: {
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scale: '7d',
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offset: '14d',
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decay: 0.5,
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},
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},
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},
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],
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boost_mode: 'multiply',
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},
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}
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filter = {
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bool: {
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should: [
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{
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term: {
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reviewed: {
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value: true,
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},
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},
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},
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{
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term: {
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name: {
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value: @query,
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},
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},
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},
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],
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},
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}
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TagsIndex.query(query).filter(filter).limit(@limit).offset(@offset).objects.compact
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end
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def from_database
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Tag.search_for(@query, @limit, @offset)
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end
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end
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