Merged PR 3666: Aggregated model for guest kpis metrics in intermediate

# Description

Aggregated model for guest kpis metrics.
This model aggregates the values for all basic metrics for guest kpis, it has a granularity per metrics of timeframe (YTD, MTD, WTD) and all other dimensions needed (has_payment, has_id_check & main_billing_country_iso_3_per_deal).
I decided not to include the calculated metrics because it adds much more complexity to the model specially when you start considering all possible combinations between dimensions and how this would affect the calculations, in this case conversion_rate, revenue_rate and average_csat_score. I think this could all be managed much simpler inside PBI and since the granularity of the model is not as deep as the daily model, this should help with the loading time for the report.

# 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.
- [ ] I have checked for DRY opportunities with other models and docs.
- [ ] 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: #24604

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.