Class: Report::CampaignsReport::CampaignsReport
- Inherits:
-
Object
- Object
- Report::CampaignsReport::CampaignsReport
- Defined in:
- app/services/report/campaigns_report/campaigns_report.rb
Overview
Service object: campaigns report.
Defined Under Namespace
Classes: Result
Class Method Summary collapse
-
.campaigns_revenue(start_date, end_date, campaign_ids, list_months) ⇒ Object
Campaigns revenue.
-
.campaigns_revenue_and_num_customers_by_reps(start_date, end_date, campaign_ids) ⇒ Object
Campaigns revenue and num customers by reps.
-
.campaigns_revenue_by_report_grouping(start_date, end_date, campaign_ids) ⇒ Object
Campaigns revenue by report grouping.
-
.campaigns_revenue_by_report_grouping_for_chart(start_date, end_date, campaign_ids) ⇒ Object
Campaigns revenue by report grouping for chart.
-
.campaigns_revenue_by_reps(start_date, end_date, campaign_ids) ⇒ Object
Campaigns revenue by reps.
-
.result(options = {}) ⇒ Result
Campaign performance data.
Class Method Details
.campaigns_revenue(start_date, end_date, campaign_ids, list_months) ⇒ Object
Campaigns revenue.
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# File 'app/services/report/campaigns_report/campaigns_report.rb', line 117 def self.campaigns_revenue(start_date, end_date, campaign_ids, list_months) prev_start_date = start_date.years_ago(1) prev_end_date = end_date.years_ago(1) if campaign_ids.one? campaign_ids_sql = campaign_ids.empty? ? ' ' : " and coalesce(c.id,c2.id) = #{campaign_ids.first.to_i} " sql = <<-SQL.squish select coalesce(c.id,c2.id) as campaign_id,coalesce(c.name,c2.name) as campaign_name, sum(case when gl_date between '#{start_date}' and '#{end_date}' then quantity * discounted_price * consolidated_exchange_rate else 0 end) as cur_sales_amount, sum(case when gl_date between '#{prev_start_date}' and '#{prev_end_date}' then quantity * discounted_price * consolidated_exchange_rate else 0 end) as prev_sales_amount, dt.month from view_sales_facts vsf inner join analytic_date_time_dimensions dt on vsf.gl_date = dt.date left join campaigns c on vsf.source_id = c.source_id and c.state = 'active' left join campaigns c2 on vsf.source_parent_id = c2.source_id and c2.state = 'active' where coalesce(c.name,c2.name) is not null and (gl_date between '#{prev_start_date}' and '#{prev_end_date}' or gl_date between '#{start_date}' and '#{end_date}') #{campaign_ids_sql} group by coalesce(c.id,c2.id),coalesce(c.name,c2.name),dt.month SQL else campaign_ids_sql = campaign_ids.empty? ? ' ' : " and coalesce(c.id,c2.id) in (#{campaign_ids.map(&:to_i).join(',')}) " sql = <<-SQL.squish select coalesce(c.id,c2.id) as campaign_id,coalesce(c.name,c2.name) as campaign_name,sum(quantity * discounted_price * consolidated_exchange_rate) as cur_sales_amount,dt.month from view_sales_facts vsf inner join analytic_date_time_dimensions dt on vsf.gl_date = dt.date left join campaigns c on vsf.source_id = c.source_id and c.state = 'active' left join campaigns c2 on vsf.source_parent_id = c2.source_id and c2.state = 'active' where coalesce(c.name,c2.name) is not null and gl_date between '#{start_date}' and '#{end_date}' #{campaign_ids_sql} group by coalesce(c.id,c2.id),coalesce(c.name,c2.name),dt.month SQL end results = ActiveRecord::Base.lease_connection.execute(sql).to_a.map(&:symbolize_keys) campaign_sales = [] if results.present? list_campaigns = results.pluck(:campaign_name).compact.uniq list_campaigns.each do |c| monthly_sales = [] prev_monthly_sales = [] list_months.each do |m| sales = 0 prev_sales = 0 results.map { |r| sales += r[:cur_sales_amount] if c == r[:campaign_name] && m == r[:month] } results.map { |r| prev_sales += r[:prev_sales_amount] if c == r[:campaign_name] && m == r[:month] } if campaign_ids.one? monthly_sales << sales.to_f.round prev_monthly_sales << prev_sales.to_f.round if campaign_ids.one? end campaign_sales << [c, monthly_sales, prev_monthly_sales] end else monthly_sales = [] prev_monthly_sales = [] list_months.each do |_m| monthly_sales << 0 prev_monthly_sales << 0 if campaign_ids.one? end campaign_sales << ['', monthly_sales, prev_monthly_sales] end campaign_sales end |
.campaigns_revenue_and_num_customers_by_reps(start_date, end_date, campaign_ids) ⇒ Object
Campaigns revenue and num customers by reps.
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# File 'app/services/report/campaigns_report/campaigns_report.rb', line 188 def self.campaigns_revenue_and_num_customers_by_reps(start_date, end_date, campaign_ids) prev_start_date = start_date.years_ago(1) prev_end_date = end_date.years_ago(1) campaign_ids_sql = campaign_ids.empty? ? ' ' : " and coalesce(c.id,c2.id) in (#{campaign_ids.map(&:to_i).join(',')}) " sql = <<-SQL.squish select vsf.primary_sr_id,r.full_name, sum(case when gl_date between '#{start_date}' and '#{end_date}' then quantity * discounted_price * consolidated_exchange_rate else 0 end) as cur_sales_amount, count(distinct case when gl_date between '#{start_date}' and '#{end_date}' then vsf.customer_id else null end) as cur_num_customers, sum(case when gl_date between '#{prev_start_date}' and '#{prev_end_date}' then quantity * discounted_price * consolidated_exchange_rate else 0 end) as prev_sales_amount, count(distinct case when gl_date between '#{prev_start_date}' and '#{prev_end_date}' then vsf.customer_id else null end) as prev_num_customers from view_sales_facts vsf inner join analytic_date_time_dimensions dt on vsf.gl_date = dt.date inner join parties r on vsf.primary_sr_id = r.id and r.inactive = false left join campaigns c on vsf.source_id = c.source_id and c.state = 'active' left join campaigns c2 on vsf.source_parent_id = c2.source_id and c2.state = 'active' where coalesce(c.name,c2.name) is not null and (primary_sr_id is not null and primary_sr_id not in (92,85)) and (gl_date between '#{prev_start_date}' and '#{prev_end_date}' or gl_date between '#{start_date}' and '#{end_date}') #{campaign_ids_sql} group by vsf.primary_sr_id,r.full_name SQL ActiveRecord::Base.lease_connection.execute(sql).to_a.map(&:symbolize_keys) end |
.campaigns_revenue_by_report_grouping(start_date, end_date, campaign_ids) ⇒ Object
Campaigns revenue by report grouping.
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# File 'app/services/report/campaigns_report/campaigns_report.rb', line 219 def self.campaigns_revenue_by_report_grouping(start_date, end_date, campaign_ids) prev_start_date = start_date.years_ago(1) prev_end_date = end_date.years_ago(1) campaign_ids_sql = campaign_ids.empty? ? ' ' : " and coalesce(c.id,c2.id) in (#{campaign_ids.map(&:to_i).join(',')}) " sql = <<-SQL.squish with months as ( select distinct month,year from analytic_date_time_dimensions where (date between '#{prev_start_date}' and '#{prev_end_date}' or date between '#{start_date}' and '#{end_date}') ), sales as ( select vsf.report_grouping,sum(quantity * discounted_price * consolidated_exchange_rate) as sales_amount,dt.month,dt.year from view_sales_facts vsf inner join analytic_date_time_dimensions dt on vsf.gl_date = dt.date left join campaigns c on vsf.source_id = c.source_id and c.state = 'active' left join campaigns c2 on vsf.source_parent_id = c2.source_id and c2.state = 'active' where coalesce(c.name,c2.name) is not null and (primary_sr_id is not null and primary_sr_id not in (92,85)) and (gl_date between '#{prev_start_date}' and '#{prev_end_date}' or gl_date between '#{start_date}' and '#{end_date}') #{campaign_ids_sql} group by vsf.report_grouping,dt.month,dt.year ), sales_reps as ( select distinct report_grouping from sales ), sales_reps_by_month as ( select * from sales_reps,months ) select rm.report_grouping,coalesce(sales_amount,0) as sales_amount,rm.month,rm.year from sales_reps_by_month rm left join sales s on rm.report_grouping = s.report_grouping and rm.month = s.month and rm.year = s.year SQL ActiveRecord::Base.lease_connection.execute(sql).to_a.map(&:symbolize_keys) end |
.campaigns_revenue_by_report_grouping_for_chart(start_date, end_date, campaign_ids) ⇒ Object
Campaigns revenue by report grouping for chart.
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# File 'app/services/report/campaigns_report/campaigns_report.rb', line 260 def self.campaigns_revenue_by_report_grouping_for_chart(start_date, end_date, campaign_ids) campaign_ids_sql = campaign_ids.empty? ? ' ' : " and coalesce(c.id,c2.id) in (#{campaign_ids.map(&:to_i).join(',')}) " sql = <<-SQL.squish select vsf.report_grouping,sum(quantity * discounted_price * consolidated_exchange_rate) as sales_amount from view_sales_facts vsf inner join analytic_date_time_dimensions dt on vsf.gl_date = dt.date left join campaigns c on vsf.source_id = c.source_id and c.state = 'active' left join campaigns c2 on vsf.source_parent_id = c2.source_id and c2.state = 'active' where coalesce(c.name,c2.name) is not null and (primary_sr_id is not null and primary_sr_id not in (92,85)) and gl_date between '#{start_date}' and '#{end_date}' #{campaign_ids_sql} group by vsf.report_grouping SQL ActiveRecord::Base.lease_connection.execute(sql).to_a.map(&:symbolize_keys) end |
.campaigns_revenue_by_reps(start_date, end_date, campaign_ids) ⇒ Object
Campaigns revenue by reps.
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# File 'app/services/report/campaigns_report/campaigns_report.rb', line 74 def self.campaigns_revenue_by_reps(start_date, end_date, campaign_ids) prev_start_date = start_date.years_ago(1) prev_end_date = end_date.years_ago(1) campaign_ids_sql = campaign_ids.empty? ? ' ' : " and coalesce(c.id,c2.id) in (#{campaign_ids.map(&:to_i).join(',')}) " sql = <<-SQL.squish with months as ( select distinct month,year from analytic_date_time_dimensions where (date between '#{prev_start_date}' and '#{prev_end_date}' or date between '#{start_date}' and '#{end_date}') ), sales as ( select vsf.primary_sr_id,sum(quantity * discounted_price * consolidated_exchange_rate) as sales_amount,count(distinct customer_id) as num_customers,dt.month,dt.year from view_sales_facts vsf inner join analytic_date_time_dimensions dt on vsf.gl_date = dt.date left join campaigns c on vsf.source_id = c.source_id and c.state = 'active' left join campaigns c2 on vsf.source_parent_id = c2.source_id and c2.state = 'active' where coalesce(c.name,c2.name) is not null and (primary_sr_id is not null and primary_sr_id not in (92,85)) and (gl_date between '#{prev_start_date}' and '#{prev_end_date}' or gl_date between '#{start_date}' and '#{end_date}') #{campaign_ids_sql} group by vsf.primary_sr_id,dt.month,dt.year ), sales_reps as ( select distinct primary_sr_id,full_name from sales sr inner join parties r on sr.primary_sr_id = r.id and r.inactive = false ), sales_reps_by_month as ( select * from sales_reps,months ) select rm.primary_sr_id,rm.full_name,coalesce(sales_amount,0) as sales_amount,coalesce(num_customers,0) as num_customers,rm.month,rm.year from sales_reps_by_month rm left join sales s on rm.primary_sr_id = s.primary_sr_id and rm.month = s.month and rm.year = s.year SQL ActiveRecord::Base.lease_connection.execute(sql).to_a.map(&:symbolize_keys) end |
.result(options = {}) ⇒ Result
Returns campaign performance data.
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# File 'app/services/report/campaigns_report/campaigns_report.rb', line 37 def self.result( = {}) start_date = [:period1_gteq] end_date = [:period1_lteq] campaign_ids = [:campaign_ids].filter_map(&:presence) list_months = (1..12).map { |m| m } list_months = list_months.delete_if { |m| m > end_date.month } data_campaigns_revenue_by_reps = campaigns_revenue_by_reps(start_date, end_date, campaign_ids) list_reps = data_campaigns_revenue_by_reps.filter_map { |r| { rep_id: r[:primary_sr_id], rep_name: r[:full_name] } }.uniq data_campaigns_revenue_for_chart = campaigns_revenue(start_date, end_date, campaign_ids, list_months) data_campaigns_revenue_and_num_customers_by_reps_for_chart = campaigns_revenue_and_num_customers_by_reps(start_date, end_date, campaign_ids) data_campaigns_revenue_by_report_grouping = campaigns_revenue_by_report_grouping(start_date, end_date, campaign_ids) list_report_grouping = data_campaigns_revenue_by_report_grouping.pluck(:report_grouping).compact.uniq data_campaigns_revenue_by_report_grouping_for_chart = campaigns_revenue_by_report_grouping_for_chart(start_date, end_date, campaign_ids) Result.new(success: true, start_date: start_date, end_date: end_date, campaign_ids: campaign_ids, list_months: list_months, current_year: end_date.year, prev_year: end_date.years_ago(1).year, revenue_data_table: data_campaigns_revenue_by_reps, revenue_data_chart: data_campaigns_revenue_for_chart, revenue_and_num_customers_data_chart: data_campaigns_revenue_and_num_customers_by_reps_for_chart, list_reps: list_reps, report_grouping_data_table: data_campaigns_revenue_by_report_grouping, list_report_grouping: list_report_grouping, report_grouping_data_chart: data_campaigns_revenue_by_report_grouping_for_chart) end |