discourse/app/models/incoming_links_report.rb

153 lines
5.9 KiB
Ruby

class IncomingLinksReport
attr_accessor :type, :data, :y_titles, :start_date, :end_date, :limit, :category_id
def initialize(type)
@type = type
@y_titles = {}
@data = nil
@category_id = nil
end
def as_json(_options = nil)
{
type: self.type,
title: I18n.t("reports.#{self.type}.title"),
xaxis: I18n.t("reports.#{self.type}.xaxis"),
ytitles: self.y_titles,
data: self.data,
start_date: start_date,
end_date: end_date
}
end
def self.find(type, _opts = {})
report_method = :"report_#{type}"
return nil unless respond_to?(report_method)
# Load the report
report = IncomingLinksReport.new(type)
report.start_date = _opts[:start_date] || 30.days.ago
report.end_date = _opts[:end_date] || Time.now.end_of_day
report.limit = _opts[:limit].to_i if _opts[:limit]
report.category_id = _opts[:category_id] if _opts[:category_id]
send(report_method, report)
report
end
# Return top 10 users who brought traffic to the site within the last 30 days
def self.report_top_referrers(report)
report.y_titles[:num_clicks] = I18n.t("reports.#{report.type}.num_clicks")
report.y_titles[:num_topics] = I18n.t("reports.#{report.type}.num_topics")
num_clicks = link_count_per_user(start_date: report.start_date, end_date: report.end_date, category_id: report.category_id)
num_topics = topic_count_per_user(start_date: report.start_date, end_date: report.end_date, category_id: report.category_id)
user_id_lookup = User
.where(username: num_clicks.keys)
.select(:id, :username, :uploaded_avatar_id)
.inject({}) { |sum, v|
sum[v.username] = {
id: v.id,
user_avatar_template: User.avatar_template(v.username, v.uploaded_avatar_id)
}
sum
}
report.data = []
num_clicks.each_key do |username|
report.data << {
username: username,
user_id: user_id_lookup[username][:id],
user_avatar_template: user_id_lookup[username][:user_avatar_template],
num_clicks: num_clicks[username],
num_topics: num_topics[username]
}
end
report.data = report.data.sort_by { |x| x[:num_clicks] }.reverse[0, 10]
end
def self.per_user(start_date:, end_date:, category_id:)
public_incoming_links(category_id: category_id)
.where('incoming_links.created_at > ? AND incoming_links.created_at < ? AND incoming_links.user_id IS NOT NULL', start_date, end_date)
.joins(:user)
.group('users.username')
end
def self.link_count_per_user(start_date:, end_date:, category_id:)
per_user(start_date: start_date, end_date: end_date, category_id: category_id).count
end
def self.topic_count_per_user(start_date:, end_date:, category_id:)
per_user(start_date: start_date, end_date: end_date, category_id: category_id).joins(:post).count("DISTINCT posts.topic_id")
end
# Return top 10 domains that brought traffic to the site within the last 30 days
def self.report_top_traffic_sources(report)
report.y_titles[:num_clicks] = I18n.t("reports.#{report.type}.num_clicks")
report.y_titles[:num_topics] = I18n.t("reports.#{report.type}.num_topics")
report.y_titles[:num_users] = I18n.t("reports.#{report.type}.num_users")
num_clicks = link_count_per_domain(start_date: report.start_date, end_date: report.end_date, category_id: report.category_id)
num_topics = topic_count_per_domain(num_clicks.keys, category_id: report.category_id)
report.data = []
num_clicks.each_key do |domain|
report.data << { domain: domain, num_clicks: num_clicks[domain], num_topics: num_topics[domain] }
end
report.data = report.data.sort_by { |x| x[:num_clicks] }.reverse[0, 10]
end
def self.link_count_per_domain(limit: 10, start_date:, end_date:, category_id:)
public_incoming_links(category_id: category_id)
.where('incoming_links.created_at > ? AND incoming_links.created_at < ?', start_date, end_date)
.joins(incoming_referer: :incoming_domain)
.group('incoming_domains.name')
.order('count_all DESC')
.limit(limit)
.count
end
def self.per_domain(domains, options = {})
public_incoming_links(category_id: options[:category_id])
.joins(incoming_referer: :incoming_domain)
.where('incoming_links.created_at > ? AND incoming_domains.name IN (?)', 30.days.ago, domains)
.group('incoming_domains.name')
end
def self.topic_count_per_domain(domains, options = {})
# COUNT(DISTINCT) is slow
per_domain(domains, options).count("DISTINCT posts.topic_id")
end
def self.report_top_referred_topics(report)
report.y_titles[:num_clicks] = I18n.t("reports.#{report.type}.labels.num_clicks")
num_clicks = link_count_per_topic(start_date: report.start_date, end_date: report.end_date, category_id: report.category_id)
num_clicks = num_clicks.to_a.sort_by { |x| x[1] }.last(report.limit || 10).reverse
report.data = []
topics = Topic.select('id, slug, title').where('id in (?)', num_clicks.map { |z| z[0] })
topics = topics.in_category_and_subcategories(report.category_id) if report.category_id
num_clicks.each do |topic_id, num_clicks_element|
topic = topics.find { |t| t.id == topic_id }
if topic
report.data << { topic_id: topic_id, topic_title: topic.title, topic_url: topic.relative_url, num_clicks: num_clicks_element }
end
end
report.data
end
def self.link_count_per_topic(start_date:, end_date:, category_id:)
public_incoming_links(category_id: category_id)
.where('incoming_links.created_at > ? AND incoming_links.created_at < ? AND topic_id IS NOT NULL', start_date, end_date)
.group('topic_id')
.count
end
def self.public_incoming_links(category_id: nil)
IncomingLink
.joins(post: :topic)
.where("topics.archetype = ?", Archetype.default)
.merge(Topic.in_category_and_subcategories(category_id))
end
end