271 lines
8.8 KiB
Ruby
271 lines
8.8 KiB
Ruby
class StatsController < ApplicationController
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layout "new_application"
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MEAN_NUMBER_OF_CHAMPS_IN_A_FORM = 24.0
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def index
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procedures = Procedure.publiees_ou_archivees
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dossiers = Dossier.where.not(:state => :brouillon)
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@procedures_count = procedures.count
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@dossiers_count = dossiers.count
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@procedures_cumulative = cumulative_hash(procedures, :published_at)
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@procedures_in_the_last_4_months = last_four_months_hash(procedures, :published_at)
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@dossiers_cumulative = cumulative_hash(dossiers, :en_construction_at)
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@dossiers_in_the_last_4_months = last_four_months_hash(dossiers, :en_construction_at)
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@procedures_count_per_administrateur = procedures_count_per_administrateur(procedures)
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@dossier_instruction_mean_time = Rails.cache.fetch("dossier_instruction_mean_time", expires_in: 1.day) do
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dossier_instruction_mean_time(dossiers)
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end
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@dossier_filling_mean_time = Rails.cache.fetch("dossier_filling_mean_time", expires_in: 1.day) do
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dossier_filling_mean_time(dossiers)
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end
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@avis_usage = avis_usage
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@avis_average_answer_time = avis_average_answer_time
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@avis_answer_percentages = avis_answer_percentages
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@motivation_usage_dossier = motivation_usage_dossier
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@motivation_usage_procedure = motivation_usage_procedure
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end
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private
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def max_date
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if administration_signed_in?
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Time.now.to_date
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else
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Time.now.beginning_of_month - 1.second
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end
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end
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def last_four_months_hash(association, date_attribute)
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min_date = 3.months.ago.beginning_of_month.to_date
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association
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.where(date_attribute => min_date..max_date)
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.group("DATE_TRUNC('month', #{date_attribute.to_s})")
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.count
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.to_a
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.sort_by { |a| a[0] }
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.map { |e| [I18n.l(e.first, format: "%B %Y"), e.last] }
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end
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def cumulative_hash(association, date_attribute)
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sum = 0
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association
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.where("#{date_attribute.to_s} < ?", max_date)
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.group("DATE_TRUNC('month', #{date_attribute.to_s})")
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.count
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.to_a
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.sort_by { |a| a[0] }
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.map { |x, y| { x => (sum += y) } }
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.reduce({}, :merge)
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end
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def procedures_count_per_administrateur(procedures)
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count_per_administrateur = procedures.group(:administrateur_id).count.values
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{
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'Une procédure' => count_per_administrateur.select { |count| count == 1 }.count,
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'Entre deux et cinq procédures' => count_per_administrateur.select { |count| 2 <= count && count <= 5 }.count,
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'Plus de cinq procédures' => count_per_administrateur.select { |count| 5 < count }.count
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}
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end
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def mean(collection)
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(collection.sum.to_f / collection.size).round(2)
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end
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def percentage(numerator, denominator)
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((numerator.to_f / denominator) * 100).round(2)
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end
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def dossier_instruction_mean_time(dossiers)
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# In the 12 last months, we compute for each month
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# the average time it took to instruct a dossier
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# We compute monthly averages by first making an average per procedure
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# and then computing the average for all the procedures
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min_date = 11.months.ago
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max_date = Time.now.to_date
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processed_dossiers = dossiers
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.where(:processed_at => min_date..max_date)
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.pluck(:procedure_id, :en_construction_at, :processed_at)
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# Group dossiers by month
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processed_dossiers_by_month = processed_dossiers
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.group_by do |dossier|
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dossier[2].beginning_of_month.to_s
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end
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processed_dossiers_by_month.map do |month, value|
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# Group the dossiers for this month by procedure
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dossiers_grouped_by_procedure = value.group_by { |dossier| dossier[0] }
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# Compute the mean time for this procedure
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procedure_processing_times = dossiers_grouped_by_procedure.map do |procedure_id, procedure_dossiers|
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procedure_dossiers_processing_time = procedure_dossiers.map do |dossier|
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(dossier[2] - dossier[1]).to_f / (3600 * 24)
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end
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mean(procedure_dossiers_processing_time)
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end
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# Compute the average mean time for all the procedures of this month
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month_average = mean(procedure_processing_times)
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[month, month_average]
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end.to_h
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end
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def dossier_filling_mean_time(dossiers)
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# In the 12 last months, we compute for each month
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# the average time it took to fill a dossier
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# We compute monthly averages by first making an average per procedure
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# and then computing the average for all the procedures
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# For each procedure, we normalize the data: the time is calculated
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# for a 24 champs form (the current form mean length)
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min_date = 11.months.ago
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max_date = Time.now.to_date
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processed_dossiers = dossiers
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.where(:processed_at => min_date..max_date)
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.pluck(:procedure_id, :created_at, :en_construction_at, :processed_at)
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# Group dossiers by month
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processed_dossiers_by_month = processed_dossiers
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.group_by do |e|
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e[3].beginning_of_month.to_s
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end
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processed_dossiers_by_month.map do |month, value|
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# Group the dossiers for this month by procedure
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dossiers_grouped_by_procedure = value.group_by { |dossier| dossier[0] }
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# Compute the mean time for this procedure
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procedure_processing_times = dossiers_grouped_by_procedure.map do |procedure_id, procedure_dossiers|
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procedure_dossiers_processing_time = procedure_dossiers.map do |dossier|
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(dossier[2] - dossier[1]).to_f / 60
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end
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procedure_mean = mean(procedure_dossiers_processing_time)
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# We normalize the data for 24 fields
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procedure_fields_count = Procedure.find(procedure_id).types_de_champ.count
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procedure_mean * (MEAN_NUMBER_OF_CHAMPS_IN_A_FORM / procedure_fields_count)
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end
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# Compute the average mean time for all the procedures of this month
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month_average = mean(procedure_processing_times)
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[month, month_average]
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end.to_h
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end
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def avis_usage
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[3.weeks.ago, 2.weeks.ago, 1.week.ago].map do |min_date|
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max_date = min_date + 1.week
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weekly_dossiers = Dossier.includes(:avis).where(created_at: min_date..max_date).to_a
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weekly_dossiers_count = weekly_dossiers.count
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if weekly_dossiers_count == 0
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result = 0
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else
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weekly_dossier_with_avis_count = weekly_dossiers.select { |dossier| dossier.avis.present? }.count
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result = percentage(weekly_dossier_with_avis_count, weekly_dossiers_count)
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end
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[min_date.to_i, result]
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end
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end
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def avis_average_answer_time
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[3.weeks.ago, 2.weeks.ago, 1.week.ago].map do |min_date|
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max_date = min_date + 1.week
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average = Avis.with_answer
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.where(created_at: min_date..max_date)
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.average("EXTRACT(EPOCH FROM avis.updated_at - avis.created_at) / 86400")
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result = average ? average.to_f.round(2) : 0
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[min_date.to_i, result]
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end
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end
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def avis_answer_percentages
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[3.weeks.ago, 2.weeks.ago, 1.week.ago].map do |min_date|
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max_date = min_date + 1.week
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weekly_avis = Avis.where(created_at: min_date..max_date)
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weekly_avis_count = weekly_avis.count
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if weekly_avis_count == 0
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[min_date.to_i, 0]
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else
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answered_weekly_avis_count = weekly_avis.with_answer.count
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result = percentage(answered_weekly_avis_count, weekly_avis_count)
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[min_date.to_i, result]
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end
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end
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end
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def motivation_usage_dossier
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[3.weeks.ago, 2.weeks.ago, 1.week.ago].map do |date|
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min_date = date.beginning_of_week
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max_date = date.end_of_week
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weekly_termine_dossiers = Dossier.where(processed_at: min_date..max_date)
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weekly_termine_dossiers_count = weekly_termine_dossiers.count
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weekly_termine_dossiers_with_motivation_count = weekly_termine_dossiers.where.not(motivation: nil).count
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if weekly_termine_dossiers_count == 0
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result = 0
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else
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result = percentage(weekly_termine_dossiers_with_motivation_count, weekly_termine_dossiers_count)
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end
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[l(max_date, format: '%d/%m/%Y'), result]
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end
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end
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def motivation_usage_procedure
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[3.weeks.ago, 2.weeks.ago, 1.week.ago].map do |date|
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min_date = date.beginning_of_week
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max_date = date.end_of_week
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procedures_with_dossier_processed_this_week = Procedure
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.joins(:dossiers)
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.where(dossiers: { processed_at: min_date..max_date })
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procedures_with_dossier_processed_this_week_count = procedures_with_dossier_processed_this_week
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.uniq
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.count
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procedures_with_dossier_processed_this_week_and_with_motivation_count = procedures_with_dossier_processed_this_week
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.where
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.not(dossiers: { motivation: nil })
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.uniq
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.count
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if procedures_with_dossier_processed_this_week_count == 0
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result = 0
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else
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result = percentage(procedures_with_dossier_processed_this_week_and_with_motivation_count, procedures_with_dossier_processed_this_week_count)
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end
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[l(max_date, format: '%d/%m/%Y'), result]
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end
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end
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end
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