/*
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 Revenue",
    "Checkout Bookings",
    "Churning Deals",
    "Churning Listings",
    "Created Bookings",
    "Deals Booked in 12 Months",
    "Deals Booked in 6 Months",
    "Deals Booked in Month",
    "Deposit Fees Revenue",
    "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 Revenue",
    "Host Resolutions Amount Paid",
    "Host Resolutions Payment Count",
    "Invoiced APIs Revenue",
    "Invoiced Booking Fees Revenue",
    "Invoiced E-Deposit Revenue",
    "Invoiced Athena Revenue",
    "Invoiced Listing Fees Revenue",
    "Invoiced Operator Revenue",
    "Invoiced Verification Fees Revenue",
    "Listings Booked in 12 Months",
    "Listings Booked in 6 Months",
    "Listings Booked in Month",
    "New Deals",
    "New Listings",
    "Total Revenue",
    "Damage Host-Waiver Payments",
    "Waiver Revenue",
    "Waiver Retained",
    "Revenue Churn Rate",
    "Bookings Churn Rate",
    "Listings Churn Rate",
) %}

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
