Added schema of new model

models/intermediate/kpis/schema.yml

@@ -5304,6 +5304,85 @@ models:
           Sum of total payments paid by guests, excluding taxes, in GBP 
           on the same date in the previous year, segmented by the specified dimension.
 
+  - name: int_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.
+
   - name: int_kpis__metric_daily_new_dash_created_services
     description: |
       This model computes the Daily Created Services at the deepest granularity.