Merged PR 3675: aggregated guest kpis to reporting

# Description

Aggregated guest kpis model to reporting

# 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.

aggregated guest kpis to reporting

Related work items: #24604

models/reporting/kpis/kpis__product_guest_agg_metrics.sql

@@ -0,0 +1,15 @@
+with
+    int_kpis__product_guest_agg_metrics as (
+        select * from {{ ref("int_kpis__product_guest_agg_metrics") }}
+    )
+
+select
+    metric as metric,
+    has_payment as has_payment,
+    has_id_check as has_id_check,
+    main_billing_country_iso_3_per_deal as main_billing_country_iso_3_per_deal,
+    timeframe as timeframe,
+    current_value as current_value,
+    py_value as py_value,
+    pp_value as pp_value
+from int_kpis__product_guest_agg_metrics

models/reporting/kpis/schema.yml

@@ -353,3 +353,82 @@ models:
           granularity, date or dates range, dimension and value. 
           This metric is not additive, and its value can vary depending on the time 
           period considered.
+
+  - name: kpis__product_guest_agg_metrics
+    description:
+      This model aggregates multiple metrics on a Year-to-date, Month-to-date or
+      Week-to-date basis. This model changes the display format of the model
+      int_kpis__product_guest_daily_metrics pivoting the metrics columns and
+      adding a timeframe dimension.
+    columns:
+      - name: metric
+        data_type: text
+        description: Name of the business metric
+
+      - name: has_payment
+        data_type: string
+        description: Has there been any guest payments on the guest journey.
+        tests:
+          - not_null
+          - accepted_values:
+              values:
+                - W/O Payment
+                - With Payment
+
+      - name: has_id_check
+        data_type: string
+        description: Does the verification in the guest journey
+          includes Government Id Check for the bookings.
+        tests:
+          - not_null
+          - accepted_values:
+              values:
+                - W/O Id Check
+                - With Id Check
+
+      - name: main_billing_country_iso_3_per_deal
+        data_type: string
+        description: |
+          Main billing country of the host aggregated at Deal level.
+        tests:
+          - not_null
+
+      - name: timeframe
+        data_type: text
+        description: |
+          Timeframe considered for the aggregation, it could be Year-to-date,
+          Month-to-date or Week-to-date
+        tests:
+          - not_null
+          - accepted_values:
+              values:
+                - YTD
+                - MTD
+                - WTD
+
+      - name: current_value
+        data_type: numeric
+        description: |
+          Numeric value (integer or decimal) that corresponds to the timeframe 
+          computation of the metric at the current date.
+          For example if the current date is 27/11/2024 and the timeframe is MTD, 
+          then this value would correspond to the computation of the metric for 
+          the dates between 01/11/2024 and 27/11/2024.
+
+      - name: py_value
+        data_type: numeric
+        description: |
+          Numeric value (integer or decimal) that corresponds to the timeframe 
+          computation of the metric at the current date but on the previous year.
+          For example if the current date is 27/11/2024 and the timeframe is MTD, 
+          then this value would correspond to the computation of the metric for 
+          the dates between 01/11/2023 and 27/11/2023.
+
+      - name: pp_value
+        data_type: numeric
+        description: |
+          Numeric value (integer or decimal) that corresponds to the timeframe 
+          computation of the metric at the current date but on the previous period.
+          For example if the current date is 27/11/2024 and the timeframe is MTD, 
+          then this value would correspond to the computation of the metric for 
+          the dates between 01/10/2024 and 27/10/2024.