reports: add ability to group reports by column.

Add ability to group reports by various columns. For example, you can see
the posts by the top 10 uploaders over time, or posts grouped by rating
over time.
This commit is contained in:
evazion
2022-10-22 03:17:30 -05:00
parent d1b6f30517
commit f73d2e3956
9 changed files with 176 additions and 74 deletions

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@@ -3,60 +3,88 @@
module Aggregatable
extend ActiveSupport::Concern
def timeseries(period: "day", date_column: :created_at, from: first[date_column], to: Time.now.utc, columns: { count: "COUNT(*)" })
def timeseries(period: "day", date_column: :created_at, from: first[date_column], to: Time.now.utc, groups: [], group_limit: 10, columns: { count: "COUNT(*)" })
raise ArgumentError, "invalid period: #{period}" if !period.in?(%w[second minute hour day week month quarter year])
raise ArgumentError if all.group_values.present?
from = from.to_date
to = to.to_date
# SELECT
# date_trunc('day', posts.created_at) AS date
# COUNT(*) AS count
# FROM posts
# WHERE posts.created_at BETWEEN from AND to
# GROUP BY date
group_associations = groups.map { |name| reflections[name.to_s] }.compact_blank
group_fields = groups.map { |name| reflections[name.to_s]&.foreign_key || name }
# SELECT date_trunc('day', posts.created_at) AS date FROM posts WHERE created_at BETWEEN from AND to GROUP BY date
subquery = select(date_trunc(period, date_column).as("date")).where(date_column => (from..to)).group("date").reorder(nil)
group_fields.each do |name|
# SELECT date_trunc('day', posts.created_at) AS date, uploader_id FROM posts WHERE created_at BETWEEN from AND to GROUP BY date, uploader_id
subquery = subquery.select(name).group(name)
end
columns.each do |name, sql|
# SELECT COUNT(*) AS count
# SELECT date_trunc('day', posts.created_at) AS date, uploader_id, COUNT(*) AS count FROM posts WHERE created_at BETWEEN from AND to GROUP BY date, uploader_id
subquery = subquery.select(Arel.sql(sql).as(name.to_s).to_sql)
end
# SELECT date_trunc('day', dates) AS date FROM generate_series('2022-01-01', '2022-02-15', '1 day'::interval) AS dates
# SELECT date_trunc('day', dates) AS date FROM generate_series(from, to, '1 day'::interval) AS dates
dates = "SELECT #{date_trunc(period, Arel.sql("dates")).to_sql} AS date FROM #{generate_timeseries(from, to, period).to_sql} AS dates"
# SELECT
# date_trunc('day', dates.date) AS date,
# COALESCE(subquery.count, 0) AS count
# FROM (
# SELECT date_trunc('day', dates) AS date
# FROM generate_series(from, to, '1 day'::interval) AS dates
# ) AS dates
# LEFT OUTER JOIN (
# SELECT
# date_trunc('day', posts.created_at) AS date,
# COUNT(*) AS count
# FROM posts
# WHERE posts.created_at BETWEEN from AND to
# GROUP BY date
# ) AS subquery
# ORDER BY date DESC
query =
unscoped.
select(date_trunc(period, Arel.sql("dates.date")).as("date")).
from("(#{dates}) AS dates").
joins("LEFT OUTER JOIN (#{subquery.to_sql}) AS subquery ON subquery.date = dates.date").
order("date DESC")
# SELECT dates.date FROM (SELECT date_trunc('day', dates) AS date FROM generate_series(from, to, '1 day'::interval) AS dates) AS dates
query = unscoped.select("dates.date").from("(#{dates}) AS dates")
group_fields.each do |field|
# CROSS JOIN (SELECT uploader_id FROM posts WHERE created_at BETWEEN from AND to AND uploader_id IS NOT NULL GROUP BY uploader_id ORDER BY COUNT(*) DESC LIMIT 10) AS uploader_ids.uploader_id
join = select(field).where(date_column => (from..to)).where.not(field => nil).group(field).reorder(Arel.sql("COUNT(*) DESC")).limit(group_limit)
# SELECT dates.date, uploader_ids.uploader_id
# FROM (SELECT date_trunc('day', dates) AS date FROM generate_series('2022-01-01', '2022-02-15', '1 day'::interval) AS dates) AS dates
# CROSS JOIN (SELECT uploader_id FROM posts WHERE created_at BETWEEN from AND to GROUP BY uploader_ids ORDER BY COUNT(*) DESC LIMIT 10) AS uploader_ids.uploader_id
query = query.select("#{connection.quote_table_name(field.to_s.pluralize)}.#{connection.quote_column_name(field)}")
query = query.joins("CROSS JOIN (#{join.to_sql}) AS #{connection.quote_column_name(field.to_s.pluralize)}")
end
# on_clause = "subquery.date = dates.date AND subquery.uploader_id = uploader_ids.uploader_id"
on_clause = ["date", *group_fields].map { |group| "subquery.#{connection.quote_column_name(group)} = #{connection.quote_table_name(group.to_s.pluralize)}.#{connection.quote_column_name(group)}" }.join(" AND ")
query = query.joins("LEFT OUTER JOIN (#{subquery.to_sql}) AS subquery ON #{on_clause}")
query = query.reorder("date DESC")
columns.each do |name, sql|
# SELECT COALESCE(subquery.count, 0) AS count
# SELECT dates.date, uploader_ids.uploader_id, COALESCE(subquery.count, 0) AS count FROM ...
query = query.select(coalesce(Arel.sql("subquery.#{connection.quote_column_name(name)}"), 0).as(name.to_s))
end
query.select_all
# query =
# SELECT
# dates.date,
# uploader_ids.uploader_id,
# COALESCE(subquery.count, 0) AS count
# FROM (
# SELECT date_trunc('day', dates) AS date FROM generate_series(from, to, '1 day'::interval) AS dates
# ) AS dates
# CROSS JOIN (
# SELECT uploader_id FROM posts WHERE created_at BETWEEN from AND to AND uploader_id IS NOT NULL GROUP BY uploader_id ORDER BY COUNT(*) DESC LIMIT 10
# ) AS uploader_ids.uploader_id
# LEFT OUTER JOIN (
# SELECT
# date_trunc('day', posts.created_at) AS date,
# uploader_id,
# COUNT(*) AS count
# FROM posts
# WHERE created_at BETWEEN from AND to
# GROUP BY date, uploader_id
# ) subquery ON subquery.date = dates.date AND subquery.uploader_id = uploader_ids.uploader_id
# ORDER BY date DESC
results = query.select_all
types = results.columns.map { |column| [column, :object] }.to_h
dataframe = Danbooru::DataFrame.new(results.to_a, types: types)
dataframe = dataframe.preload_associations(group_associations)
dataframe
end
def group_by_period(period = "day", column = :created_at)
select(date_trunc(period, column).as("date")).group("date").order(Arel.sql("date DESC"))
select(date_trunc(period, column).as("date")).group("date").reorder(Arel.sql("date DESC"))
end
def select_all

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@@ -0,0 +1,47 @@
# A wrapper around Rover::DataFrame that adds some extra utility methods.
#
# @see https://github.com/ankane/rover
module Danbooru
class DataFrame
attr_reader :df
delegate :head, :shape, :types, :rename, :each_row, :[], :[]=, to: :df
def initialize(...)
@df = Rover::DataFrame.new(...)
end
# Replace ID columns with the actual object. For example, replace the `user_id` column with a `user` column containing User objects.
def preload_associations(associations)
associations.reduce(dup) do |table, association|
primary_key = association.association_primary_key
foreign_key = association.foreign_key
name = association.name.to_s
ids = table[foreign_key].to_a.uniq.compact_blank
records = association.klass.where(primary_key => ids).index_by(&primary_key.to_sym)
table.rename({ foreign_key => name })
table[name] = table[name].map { |id| records[id] }
table
end
end
def crosstab(index, pivot)
new_df = DataFrame.new(index => df[index].uniq)
df[pivot].uniq.to_a.each do |value|
columns = df.types.keys.without(index, pivot)
columns.each do |column|
name = columns.one? ? value.to_s : "#{value}_#{column}"
new_df[name] = df[df[pivot] == value][column]
end
end
new_df
end
def as_json(*options)
df.to_a
end
end
end