Merged PR 2534: Deal metrics per customer segmentation

# Description

Modifies `int_core__mtd_deal_metrics` to include the customer segmentation based on listings. `schema.yaml` is also affected including new fields and tests. Hardcoded `int_core__mtd_vs_previous_year_metrics` to avoid propagating this upwards and messing up with the data display.

Overall, follows a similar strategy as we did for Booking and Guest Journey metrics. For reference, [here's the previous PR on GJ](https://guardhog.visualstudio.com/Data/_git/data-dwh-dbt-project/pullrequest/2533).

# Checklist

- [X] The edited models and dependants run properly with production data.
- [X] The edited models are sufficiently documented.
- [X] The edited models contain PK tests, and I've ran and passed them.
- [X] I have checked for DRY opportunities with other models and docs.
- [X] I've picked the right materialization for the affected models.

# Other

- [ ] Check if a full-refresh is required after this PR is merged.

Related work items: #19325

models/intermediate/core/int_core__mtd_deal_metrics.sql

@@ -2,19 +2,33 @@
 This model provides Month-To-Date (MTD) based on Deal metrics.
 
 */
-{{ config(materialized="table", unique_key="date") }}
+
+{% set dimensions = get_kpi_dimensions() %}
+
+{{ config(materialized="table", unique_key=["date", "dimension", "dimension_value"]) }}
+
 with
     int_core__mtd_deal_lifecycle as (
         select * from {{ ref("int_core__mtd_deal_lifecycle") }}
     ),
-    int_dates_mtd as (select * from {{ ref("int_dates_mtd") }}),
+    int_dates_mtd_by_dimension as (
+        select * from {{ ref("int_dates_mtd_by_dimension") }}
+    ),
+    int_core__mtd_accommodation_segmentation as (
+        select * from {{ ref("int_core__mtd_accommodation_segmentation") }}
+    ),
 
     deals_metric_aggregation_per_date as (
+        {% for dimension in dimensions %}
             select
                 al.date,
+                {{ dimension.dimension }} as dimension,
+                {{ dimension.dimension_value }} as dimension_value,
                 count(
                     distinct case
-                    when al.deal_lifecycle_state = '01-New' then al.id_deal else null
+                        when al.deal_lifecycle_state = '01-New'
+                        then al.id_deal
+                        else null
                     end
                 ) as new_deals,
                 count(
@@ -33,7 +47,9 @@ with
                 ) as first_time_booked_deals,
                 count(
                     distinct case
-                    when al.deal_lifecycle_state = '04-Active' then al.id_deal else null
+                        when al.deal_lifecycle_state = '04-Active'
+                        then al.id_deal
+                        else null
                     end
                 ) as active_deals,
                 count(
@@ -66,9 +82,18 @@ with
                 sum(
                     case when has_been_booked_within_last_12_months then 1 else 0 end
                 ) as deals_booked_in_12_months
-
             from int_core__mtd_deal_lifecycle al
-        group by al.date
+            {% if dimension.dimension == "'by_number_of_listings'" %}
+                inner join
+                    int_core__mtd_accommodation_segmentation mas
+                    on al.id_deal = mas.id_deal
+                    and al.date = mas.date
+            {% endif %}
+            group by 1, 2, 3
+            {% if not loop.last %}
+                union all
+            {% endif %}
+        {% endfor %}
     )
 -- Final aggregation of subqueries --
 select
@@ -76,6 +101,8 @@ select
     d.month,
     d.day,
     d.date,
+    d.dimension,
+    d.dimension_value,
     d.is_end_of_month,
     d.is_current_month,
     nullif(l.new_deals, 0) as new_deals,
@@ -88,5 +115,9 @@ select
     nullif(l.deals_booked_in_month, 0) as deals_booked_in_month,
     nullif(l.deals_booked_in_6_months, 0) as deals_booked_in_6_months,
     nullif(l.deals_booked_in_12_months, 0) as deals_booked_in_12_months
-from int_dates_mtd d
+from int_dates_mtd_by_dimension d
-left join deals_metric_aggregation_per_date l on l.date = d.date
+left join
+    deals_metric_aggregation_per_date l
+    on l.date = d.date
+    and l.dimension = d.dimension
+    and l.dimension_value = d.dimension_value

models/intermediate/core/schema.yaml

@@ -297,6 +297,13 @@ models:
       It's used for the business KPIs. Data is aggregated at the last day of the month and in the
       days necessary for the Month-to-Date computation of the current month.
 
+    tests: 
+      - dbt_utils.unique_combination_of_columns:
+          combination_of_columns:
+            - date
+            - dimension
+            - dimension_value
+            
     columns:
       - name: date
         data_type: date
@@ -317,7 +324,21 @@ models:
         description: The date for the month-to-date deal-related metrics.
         tests:
           - not_null
-          - unique
+
+      - name: dimension
+        data_type: string
+        description: The dimension or granularity of the metrics.
+        tests:
+          - accepted_values:
+                values:
+                - global
+                - by_number_of_listings
+      
+      - name: dimension_value
+        data_type: string
+        description: The value or segment available for the selected dimension.
+        tests:
+          - not_null
 
   - name: int_core__mtd_guest_payments_metrics
     description: |

models/intermediate/cross/int_mtd_vs_previous_year_metrics.sql

@@ -19,6 +19,8 @@ with
     ),
     int_core__mtd_deal_metrics as (
         select * from {{ ref("int_core__mtd_deal_metrics") }}
+        -- TEMPORAL: FORCING DIMENSION = GLOBAL TO AVOID BREAKING CHANGES IN PRODUCTION
+        where dimension = 'global'
     ),
     int_core__mtd_guest_payments_metrics as (
         select * from {{ ref("int_core__mtd_guest_payments_metrics") }}