/*
This test is applied in the reporting layer for Main KPIs,
specifically on reporting.mtd_aggregated_metrics.

It just ensures that for the last available date, the sum of metrics
for any dimension provides an equal or lower aggregated value compared
to what is expected at Global level. This is because some dimensions
depend on Deal, and not all users have a Deal, thus it's normal that
the aggregation might not match the Global value on a given metric. 

However, the aggregation cannot be higher than the value reported in
the Global dimension.
*/

{% set additive_metric_names = (	
    'Cancelled Bookings', 
    'Check-In Hero Amount Paid by Guests', 
    'Checkout Bookings', 
    'Churning Deals', 
    'Churning Listings', 
    'Created Bookings', 
    'Deals Booked in 12 Months', 
    'Deals Booked in 6 Months', 
    'Deals Booked in Month', 
    'Deposit Fees', 
    'Est. Billable Bookings', 
    'First Time Booked Deals', 
    'First Time Booked Listings', 
    'Guest Journey Completed', 
    'Guest Journey Created', 
    'Guest Journey Started', 
    'Guest Journey with Payment', 
    'Guest Payments', 
    'Guest Revenue', 
    'Host Resolutions Amount Paid', 
    'Host Resolutions Payment Count', 
    'Invoiced APIs Revenue', 
    'Invoiced Booking Fees', 
    'Invoiced E-Deposit Fees', 
    'Invoiced Guesty Fees', 
    'Invoiced Listing Fees', 
    'Invoiced Operator Revenue', 
    'Invoiced Verification Fees', 
    'Listings Booked in 12 Months', 
    'Listings Booked in 6 Months', 
    'Listings Booked in Month', 
    'New Deals', 
    'New Listings', 
    'Total Revenue', 
    'Waiver Amount Paid back to Hosts', 
    'Waiver Amount Paid by Guests', 
    'Waiver Net Fees') 
    %}

with
dimensions_total_metric_values as (
select 
	date,
	dimension,
	metric,
	number_format,
	sum(value) as total_metric_value
from {{ ref("mtd_aggregated_metrics") }} 
where  
	date in (select max(date) from {{ ref("mtd_aggregated_metrics") }}) and
	metric in  {{ additive_metric_names }}
group by date, dimension, metric, number_format
),
global_dimension_metric_values as (
select date,
	dimension,
	metric,
	number_format,
	total_metric_value
from dimensions_total_metric_values 
where dimension = 'Global'
),
other_dimension_metric_values as (
select date,
	dimension,
	metric,
	number_format,
	total_metric_value
from dimensions_total_metric_values 
where dimension != 'Global'
), 
difference_computation as (
select 
	g.date,
	g.metric,
	o.dimension,
	g.number_format,
	abs(g.total_metric_value) as global_metric_value,
	abs(o.total_metric_value) as dimension_metric_value,
	abs(o.total_metric_value) - abs(g.total_metric_value) as abs_diff,
	abs(o.total_metric_value) / nullif(abs(g.total_metric_value),0) - 1 as rel_diff
from global_dimension_metric_values as g 
left join other_dimension_metric_values as o
	on g.date = o.date
	and g.metric = o.metric
)
select * 
from difference_computation
where abs_diff > 0