rebase and updated schema

models/intermediate/kpis/schema.yml

@@ -5304,85 +5304,6 @@ 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.