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Related: https://meta.discourse.org/t/ai-translation-progress-graph/405915/3 A more thorough translation progress screen. Progress now covers posts, topics, categories and tags. The overview cards show the total content in scope, how many are fully translated across all supported locales, and how many still need language detection. Eligibility follows the existing translation settings, including max age, category scope, bot content and PM settings. Tags don't have eligibility settings, so they use the total instead. Opening a card loads its per-locale breakdown separately, so the initial page load doesn't also run every detail query. For each locale, content already in that language is excluded from eligible. Pending includes eligible content that still needs language detection. The posts query is quite heavy, so the overview is cached together for 2h and each detail target has its own 2h cache. Relevant translation settings are part of the cache key, and a distributed mutex prevents duplicate detail queries when two requests miss the same cache. **Perf note**: Calculating translation progress can be expensive on large sites, particularly for posts. The production dataset used for testing contained approximately 2 million posts, 2.5 million post localizations, and 730,000 topic localizations. Post eligibility must also inspect `raw` for the empty and maximum-length rules, so the candidate scope cannot be answered entirely from the existing indexes. To limit the impact we do have cache, and details are fetched only when a card is opened, and the queries aggregate localization coverage in bulk instead of repeatedly probing the localization indexes for every eligible record and target locale. Co-authored-by: awesomerobot <kris.aubuchon@discourse.org>
192 lines
6.8 KiB
Ruby
Vendored
192 lines
6.8 KiB
Ruby
Vendored
# frozen_string_literal: true
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module DiscourseAi
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module Translation
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class CategoryCandidates < BaseCandidates
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def self.progress_summary
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supported_locales = SiteSetting.content_localization_supported_locales.split("|")
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eligible_categories_sql = get.select(:id, :locale).to_sql
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sql = <<~SQL
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WITH #{DiscourseAi::Translation.supported_locale_bases_cte},
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eligible_categories AS (
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SELECT id,
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locale,
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split_part(
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lower(replace(locale, '-', '_')), '_', 1
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) AS source_base
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FROM (#{eligible_categories_sql}) candidates
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),
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localization_coverage AS (
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SELECT cl.category_id,
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array_agg(
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split_part(
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lower(replace(cl.locale, '-', '_')), '_', 1
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)
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) AS bases
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FROM category_localizations cl
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GROUP BY cl.category_id
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)
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SELECT
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COUNT(*)::bigint AS total_count,
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COUNT(*) FILTER (
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WHERE ec.locale IS NOT NULL
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AND supported.bases <@ (
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COALESCE(lc.bases, ARRAY[]::text[]) || ec.source_base
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)
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)::bigint AS translated_count,
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COUNT(*) FILTER (
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WHERE ec.locale IS NULL
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)::bigint AS needs_language_detection_count
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FROM eligible_categories ec
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CROSS JOIN supported
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LEFT JOIN localization_coverage lc ON lc.category_id = ec.id
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SQL
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result = DB.query(sql, supported_locales:).first
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{
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target_type: "category",
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total_count: result.total_count,
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translated_count: result.translated_count,
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needs_language_detection_count: result.needs_language_detection_count,
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}
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end
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def self.progress_details
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eligible_categories_sql = get.select("categories.id, categories.locale").to_sql
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supported_locales =
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ActiveRecord::Base.connection.quote(SiteSetting.content_localization_supported_locales)
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sql = <<~SQL
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WITH supported AS MATERIALIZED (
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SELECT DISTINCT ON (
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split_part(lower(replace(locale, '-', '_')), '_', 1)
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)
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locale,
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split_part(
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lower(replace(locale, '-', '_')), '_', 1
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) AS base
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FROM unnest(string_to_array(#{supported_locales}, '|'))
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WITH ORDINALITY configured(locale, position)
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ORDER BY split_part(
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lower(replace(locale, '-', '_')), '_', 1
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),
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position
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),
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eligible_categories AS MATERIALIZED (
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SELECT categories.id,
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categories.locale,
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split_part(
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lower(replace(categories.locale, '-', '_')), '_', 1
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) AS base
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FROM (#{eligible_categories_sql}) categories
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),
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totals AS (
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SELECT COUNT(*)::bigint AS total
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FROM eligible_categories
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),
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source_locale_counts AS (
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SELECT base,
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COUNT(*)::bigint AS count
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FROM eligible_categories
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WHERE locale IS NOT NULL
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GROUP BY base
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),
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translated_counts AS (
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SELECT supported.base,
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COUNT(DISTINCT categories.id)::bigint AS count
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FROM eligible_categories categories
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JOIN category_localizations localization
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ON localization.category_id = categories.id
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JOIN supported
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ON supported.base = split_part(
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lower(replace(localization.locale, '-', '_')), '_', 1
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)
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WHERE categories.locale IS NOT NULL
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AND categories.base <> supported.base
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GROUP BY supported.base
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)
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SELECT supported.locale,
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COALESCE(translated.count, 0)::bigint AS translated_count,
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(
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totals.total -
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COALESCE(source_locales.count, 0) -
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COALESCE(translated.count, 0)
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)::bigint AS pending_count,
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(
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totals.total -
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COALESCE(source_locales.count, 0)
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)::bigint AS eligible_count
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FROM supported
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CROSS JOIN totals
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LEFT JOIN translated_counts translated
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ON translated.base = supported.base
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LEFT JOIN source_locale_counts source_locales
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ON source_locales.base = supported.base
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ORDER BY supported.locale
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SQL
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{
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target_type: "category",
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locales:
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DB
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.query(sql)
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.map do |row|
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{
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locale: row.locale,
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translated_count: row.translated_count,
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pending_count: row.pending_count,
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eligible_count: row.eligible_count,
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}
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end,
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}
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end
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private
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# all categories that are eligible for translation based on site settings,
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# including those without locale detected yet.
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def self.get
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categories = Category.all
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case SiteSetting.ai_translation_category_scope
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when "public"
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categories.where(read_restricted: false)
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when "include"
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categories.where(id: DiscourseAi::Translation.category_ids_with_subcategories)
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when "include_strict"
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categories.where(id: DiscourseAi::Translation.category_ids)
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when "exclude"
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categories.where.not(id: DiscourseAi::Translation.category_ids_with_subcategories)
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when "exclude_strict"
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categories.where.not(id: DiscourseAi::Translation.category_ids)
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else
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categories
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end
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end
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def self.calculate_completion_per_locale(locale)
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base_locale = "#{locale.split("_").first}%"
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sql = <<~SQL
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WITH eligible_categories AS (
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#{get.where.not(categories: { locale: nil }).to_sql}
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),
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total_count AS (
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SELECT COUNT(*) AS count FROM eligible_categories
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),
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done_count AS (
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SELECT COUNT(DISTINCT c.id)
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FROM eligible_categories c
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LEFT JOIN category_localizations cl ON c.id = cl.category_id AND cl.locale LIKE :base_locale
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WHERE c.locale LIKE :base_locale OR cl.category_id IS NOT NULL
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)
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SELECT d.count AS done, t.count AS total
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FROM total_count t, done_count d
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SQL
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done, total = DB.query_single(sql, base_locale:)
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{ done:, total: }
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end
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end
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end
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end
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