2024-04-29 00:17:15 +02:00
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# frozen_string_literal: true
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2017-03-24 18:04:37 +01:00
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class StatsController < ApplicationController
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2020-11-05 15:09:11 +01:00
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before_action :authenticate_super_admin!, only: [:download]
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2018-08-13 14:46:22 +02:00
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2017-05-26 17:27:23 +02:00
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MEAN_NUMBER_OF_CHAMPS_IN_A_FORM = 24.0
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2017-03-24 18:04:37 +01:00
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def index
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2020-10-02 16:29:34 +02:00
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stat = Stat.first
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2020-10-02 13:28:22 +02:00
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2019-11-14 09:43:45 +01:00
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procedures = Procedure.publiees_ou_closes
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2017-04-03 15:00:26 +02:00
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2018-08-29 14:54:06 +02:00
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@procedures_numbers = procedures_numbers(procedures)
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2020-10-02 14:14:32 +02:00
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@dossiers_numbers = dossiers_numbers(
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2020-10-02 16:29:34 +02:00
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stat.dossiers_not_brouillon,
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stat.dossiers_depose_avant_30_jours,
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stat.dossiers_deposes_entre_60_et_30_jours
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)
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2017-05-29 17:16:26 +02:00
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2020-10-02 16:29:34 +02:00
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@dossiers_states_for_pie = {
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"Brouillon" => stat.dossiers_brouillon,
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"En construction" => stat.dossiers_en_construction,
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"En instruction" => stat.dossiers_en_instruction,
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"Terminé" => stat.dossiers_termines
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}
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2018-08-24 17:10:27 +02:00
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2021-12-03 02:46:45 +01:00
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@procedures_cumulative = cumulative_month_serie(procedures, :published_at)
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@procedures_in_the_last_4_months = last_four_months_serie(procedures, :published_at)
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2017-05-26 17:29:31 +02:00
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2020-10-02 16:29:34 +02:00
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@dossiers_cumulative = stat.dossiers_cumulative
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2022-02-02 09:17:43 +01:00
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@dossiers_in_the_last_4_months = format_keys_as_months(stat.dossiers_in_the_last_4_months)
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2017-03-24 18:04:37 +01:00
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end
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2018-08-13 14:46:22 +02:00
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def download
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headers = [
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'ID du dossier',
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2018-09-05 14:48:42 +02:00
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'ID de la démarche',
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'Nom de la démarche',
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2018-08-13 14:46:22 +02:00
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'ID utilisateur',
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'Etat du fichier',
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'Durée en brouillon',
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'Durée en construction',
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'Durée en instruction'
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]
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data = Dossier
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.includes(:procedure, :user)
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.in_batches
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.flat_map do |dossiers|
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dossiers
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.pluck(
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"dossiers.id",
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"procedures.id",
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"procedures.libelle",
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"users.id",
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"dossiers.state",
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2021-12-03 18:22:47 +01:00
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Arel.sql("dossiers.depose_at - dossiers.created_at"),
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Arel.sql("dossiers.en_instruction_at - dossiers.depose_at"),
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Arel.sql("dossiers.processed_at - dossiers.en_instruction_at")
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2018-08-13 14:46:22 +02:00
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)
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end
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respond_to do |format|
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2022-11-24 14:32:28 +01:00
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format.csv { send_data(SpreadsheetArchitect.to_csv(headers: headers, data: data), filename: "statistiques.csv") }
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2018-08-13 14:46:22 +02:00
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end
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end
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2017-03-24 18:04:37 +01:00
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private
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2018-08-29 14:54:06 +02:00
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def procedures_numbers(procedures)
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total = procedures.count
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2018-10-25 15:11:12 +02:00
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last_30_days_count = procedures.where(published_at: 1.month.ago..Time.zone.now).count
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previous_count = procedures.where(published_at: 2.months.ago..1.month.ago).count
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2018-09-03 17:35:14 +02:00
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if previous_count != 0
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evolution = (((last_30_days_count.to_f / previous_count) - 1) * 100).round(0)
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else
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evolution = 0
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end
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2018-12-18 21:55:45 +01:00
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formatted_evolution = format("%+d", evolution)
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2018-08-29 14:54:06 +02:00
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{
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total: total.to_s,
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last_30_days_count: last_30_days_count.to_s,
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evolution: formatted_evolution
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}
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end
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2020-10-02 14:14:32 +02:00
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def dossiers_numbers(total, last_30_days_count, previous_count)
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2018-09-03 17:35:14 +02:00
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if previous_count != 0
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evolution = (((last_30_days_count.to_f / previous_count) - 1) * 100).round(0)
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else
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evolution = 0
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end
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2018-12-18 21:55:45 +01:00
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formatted_evolution = format("%+d", evolution)
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2018-08-29 14:54:06 +02:00
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{
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total: total.to_s,
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last_30_days_count: last_30_days_count.to_s,
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evolution: formatted_evolution
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}
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end
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2017-10-06 09:34:02 +02:00
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def max_date
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2020-11-05 15:09:11 +01:00
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if super_admin_signed_in?
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2019-03-07 00:55:40 +01:00
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Time.zone.now
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2017-06-22 12:10:03 +02:00
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else
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2018-10-25 15:11:12 +02:00
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Time.zone.now.beginning_of_month - 1.second
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2017-06-22 12:10:03 +02:00
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end
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2017-10-06 09:34:02 +02:00
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end
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2022-02-02 09:17:43 +01:00
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def format_keys_as_months(series)
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series.transform_keys do |k|
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date = k.is_a?(Date) ? k : (Date.parse(k) rescue k)
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l(date, format: "%B %Y")
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end
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end
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2021-12-03 02:46:45 +01:00
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def last_four_months_serie(association, date_attribute)
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series = association
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.group_by_month(date_attribute, last: 4, current: super_admin_signed_in?)
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2017-05-26 17:29:31 +02:00
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.count
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2022-02-02 09:17:43 +01:00
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format_keys_as_months(series)
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end
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2021-12-03 02:46:45 +01:00
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def cumulative_month_serie(association, date_attribute)
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sum = 0
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association
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2021-12-03 02:46:45 +01:00
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.group_by_month(date_attribute, current: super_admin_signed_in?)
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.count
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2021-12-03 02:46:45 +01:00
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.transform_values { |count| sum += count }
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2017-03-28 15:42:48 +02:00
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end
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2017-03-24 18:04:37 +01:00
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end
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