data-dwh-dbt-project/models/intermediate/kpis/schema.yml

version: 2

models:
  - name: int_kpis__dimension_dates
    description: |
      This model provides the daily time dimensionality needed for KPIs.
      It only considers dates up-to-yesterday.

    columns:
      - name: date
        data_type: date
        description: Specific date. It's the primary key of this model.
        data_tests:
          - unique
          - not_null

      - name: year
        data_type: int
        description: Year number of the given date.
        data_tests:
          - not_null

      - name: month
        data_type: int
        description: Month number of the given date.
        data_tests:
          - not_null

      - name: week
        data_type: int
        description: Week number of the given date.
        data_tests:
          - not_null

      - name: day
        data_type: int
        description: Day monthly number of the given date.
        data_tests:
          - not_null

      - name: first_day_month
        data_type: date
        description: |
          First day of the month corresponding to the date field.
        data_tests:
          - not_null

      - name: last_day_month
        data_type: date
        description: |
          Last day of the month corresponding to the date field.
        data_tests:
          - not_null

      - name: is_end_of_month
        data_type: boolean
        description: True if it's end of month, false otherwise.
        data_tests:
          - not_null

      - name: is_current_month
        data_type: boolean
        description: |
          True if the date is within the current month, false otherwise.
        data_tests:
          - not_null

      - name: is_month_to_date
        data_type: boolean
        description: |
          True if the date is within the scope of month-to-date, false otherwise.
          The scope of month-to-date takes into account both 1) a date being in 
          the current month or 2) a date corresponding to the same month of the 
          previous year, which day number cannot be higher than yesterday's day 
          number.
        data_tests:
          - not_null

      - name: first_day_week
        data_type: date
        description: |
          First day of the week corresponding to the date field.
        data_tests:
          - not_null

      - name: last_day_week
        data_type: date
        description: |
          Last day of the week corresponding to the date field.
        data_tests:
          - not_null

      - name: is_end_of_week
        data_type: boolean
        description: True if it's end of week, false otherwise.
        data_tests:
          - not_null

      - name: is_current_week
        data_type: boolean
        description: |
          True if the date is within the current week, false otherwise.
        data_tests:
          - not_null

      - name: is_yesterday
        data_type: boolean
        description: |
          True if the date is yesterday, false otherwise.
        data_tests:
          - not_null

  - name: int_kpis__agg_dates_main_kpis
    description: |
      This model provides the skeleton of dates and dimensions needed for Main KPIs display.
      It encapsulates the multiple manners to present data in the reporting, namely, Monthly+MTD 
      per a given dimension or specifically Monthly by Deal. 
      The rest of the metrics computed are attached to this master table.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The end date of the time range considered for the metrics that will be 
          available in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: year
        data_type: int
        description: Year number of the given date.
        data_tests:
          - not_null

      - name: month
        data_type: int
        description: Month number of the given date.
        data_tests:
          - not_null

      - name: day
        data_type: int
        description: Day monthly number of the given date.
        data_tests:
          - not_null

      - name: first_day_month
        data_type: date
        description: |
          First day of the month corresponding to the date field.
        data_tests:
          - not_null

      - name: last_day_month
        data_type: date
        description: |
          Last day of the month corresponding to the date field.
        data_tests:
          - not_null

      - name: is_end_of_month
        data_type: boolean
        description: True if it's end of month, false otherwise.
        data_tests:
          - not_null

      - name: is_current_month
        data_type: boolean
        description: |
          True if the date is within the current month, false otherwise.
        data_tests:
          - not_null

      - name: is_end_of_month_or_yesterday
        data_type: boolean
        description: |
          True if the date is the end of the month OR yesterday, false otherwise.
        data_tests:
          - not_null

  - name: int_kpis__lifecycle_daily_accommodation
    description: |
      This model computes the daily lifecycle segment for each accommodation, also known as 
      listings. 
      The information regarding the booking-related time allows for the current status of any listing 
      regarding its activity. This information is encapsulated in the following columns:

      accommodation_lifecycle_state: contains one of the following states
      - 01-New: Listings that have been created in the current month, without bookings
      - 02-Never Booked: Listings that have been created before the current month, without bookings. 
      - 03-First Time Booked: Listings that have been booked for the first time in the current month.
      - 04-Active: Listings that have booking activity in the past 12 months (that are not FTB nor reactivated) 
      - 05-Churning: Listings that are becoming inactive because of lack of bookings in the past 12 months
      - 06-Inactive: Listings that have not had a booking for more than 12 months. 
      - 07-Reactivated: Listings that have had a booking in the current month that were inactive or churning before.
      - Finally, if none of the logic applies, which should not happen, null will be set and a dbt alert will raise.

      Since the states of Active, First Time Booked and Reactivated indicate certain booking activity and are
      mutually exclusive, the model also provides information of the recency of the bookings by the following 
      booleans:
      - has_been_booked_within_current_month: If a listing has had a booking created in the current month
      - has_been_booked_within_last_6_months: If a listing has had a booking created in the past 6 months
      - has_been_booked_within_last_12_months: If a listing has had a booking created in the past 12 months
      Note that if a listing has had a booking created in a given month, all 3 columns will be true. Similarly,
      if the last booking created to a listing was 5 months ago, only the column has_been_booked_in_1_month 
      will be false; while the other 2 will be true.
    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_accommodation

    columns:
      - name: date
        data_type: date
        description: Date in which a Listing has a given lifecycle state.
        data_tests:
          - not_null

      - name: id_accommodation
        data_type: bigint
        description: Id of the accommodation or listing.
        data_tests:
          - not_null

      - name: creation_date_utc
        data_type: date
        description: Date of when the listing was created.

      - name: first_time_booked_date_utc
        data_type: date
        description: |
          Date of the first booking created for a given listing. Can be null if the listing 
          has never had a booking associated with it.

      - name: last_time_booked_date_utc
        data_type: date
        description: |
          Date of the last booking created for a given listing. Can be null if the listing 
          has never had a booking associated with it. Can be the same as first_time_booked_date_utc
          if the listing only had 1 booking in its history.

      - name: second_to_last_time_booked_date_utc
        data_type: date
        description: |
          Date of the second-to-last booking created for a given listing, meaning the creation
          date of the booking that precedes the last one. It's relevant for the reactivation computation
          on the lifecycle. Can be null if the listing has never had a booking associated with it or if
          the listing only had 1 booking in its history.

      - name: accommodation_lifecycle_state
        data_type: character varying
        description: |
          Contains the lifecycle state of a Listing. The accepted values are:
          01-New, 02-Never Booked, 03-First Time Booked, 04-Active, 05-Churning, 06-Inactive,
          07-Reactivated. Failing to implement the logic will result in alert.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - 01-New
                - 02-Never Booked
                - 03-First Time Booked
                - 04-Active
                - 05-Churning
                - 06-Inactive
                - 07-Reactivated

      - name: has_been_booked_within_current_month
        data_type: boolean
        description: If the listing has had a booking created in the current month.

      - name: has_been_booked_within_last_6_months
        data_type: boolean
        description: If the listing has had a booking created in the past 6 months.

      - name: has_been_booked_within_last_12_months
        data_type: boolean
        description: If the listing has had a booking created in the past 12 months.

  - name: int_kpis__lifecycle_daily_deal
    description: |
      This model computes the daily lifecycle of accounts, at deal level. 
      The information regarding the booking-related time allows for the current status of any 
      deal regarding its activity. This information is encapsulated in the following columns:

      deal_lifecycle_state: contains one of the following states
      - 01-New: Deals that have been created in the current month, that are not offboarded.
      - 02-Never Booked: Deals that have been created before the current month, without bookings, that are not offboarded.
      - 04-Active: Deals that have booking activity in the past 12 months (not reactivated), that are not offboarded.
      - 05-Churning: Either Deals that are offboarded in that month or Deals that are becoming inactive because of lack of bookings in the past 12 months
      - 06-Inactive: Either Deals that have been previously offboarded or Deals that have not had a booking for more than 12 months. 
      - 07-Reactivated: Deals that have had a booking in the current month that were inactive or churning before, that are not offboarded.
      - 99-Not in HubSpot: Deals that are not in HubSpot so we can't determine the lifecycle state.

      Since the states of Active, First Time Booked and Reactivated indicate certain booking activity and are
      mutually exclusive, the model also provides information of the recency of the bookings by the following 
      booleans:
      - has_been_booked_within_current_month: If a deal has had a booking created in the current month
      - has_been_booked_within_last_6_months: If a deal has had a booking created in the past 6 months
      - has_been_booked_within_last_12_months: If a deal has had a booking created in the past 12 months
      Note that if a deal has had a booking created in a given month, all 3 columns will be true. Similarly,
      if the last booking created to a deal was 5 months ago, only the column has_been_booked_in_1_month 
      will be false; while the other 2 will be true.
      Some final considerations:
      - It's possible but not common that a Deal gets offboarded on the same month that has had some bookings created. 
      - It shouldn't happen that a Deal that is Inactive has some bookings created. However, there's few cases in which 
        this happens likely because of misconfiguration between Hubspot and Core. This should be reported to increase 
        data quality.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal

    columns:
      - name: date
        data_type: date
        description: Date in which a Deal has a given lifecycle state.
        data_tests:
          - not_null

      - name: id_deal
        data_type: character varying
        description: Unique identifier of the Account.
        data_tests:
          - not_null

      - name: creation_date_utc
        data_type: date
        description: Date of when the first host associated to that deal was created.

      - name: first_time_booked_date_utc
        data_type: date
        description: |
          Date of the first booking created for a given deal. Can be null if the deal 
          has never had a booking associated with it.

      - name: last_time_booked_date_utc
        data_type: date
        description: |
          Date of the last booking created for a given deal. Can be null if the deal 
          has never had a booking associated with it. Can be the same as first_time_booked_date_utc
          if the deal only had 1 booking in its history.

      - name: second_to_last_time_booked_date_utc
        data_type: date
        description: |
          Date of the second-to-last booking created for a given deal, meaning the creation
          date of the booking that precedes the last one. It's relevant for the reactivation computation
          on the lifecycle. Can be null if the deal has never had a booking associated with it or if
          the deal only had 1 booking in its history.

      - name: cancellation_date_utc
        data_type: date
        description: |
          Date of when the deal was cancelled, according to Hubspot. This is the date we're considering 
          for hard offboarding. It can be null, meaning the account has not been offboarded.

      - name: deal_lifecycle_state
        data_type: character varying
        description: |
          Contains the lifecycle state of a deal. The accepted values are:
          01-New, 02-Never Booked, 04-Active, 05-Churning, 06-Inactive,
          07-Reactivated, 99-Not in Husbpot.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - 01-New
                - 02-Never Booked
                - 04-Active
                - 05-Churning
                - 06-Inactive
                - 07-Reactivated
                - 99-Not in HubSpot

      - name: has_been_booked_within_current_month
        data_type: boolean
        description: |
          If the deal has had a booking already created in the current month.
          Note that if the Booking is created on the 5th day, this column will 
          be false for the days 1st to 4th, and true from the day 5th onwards.

      - name: has_been_booked_within_last_6_months
        data_type: boolean
        description: |
          If the deal has had a booking created in the past 6 months.

      - name: has_been_booked_within_last_12_months
        data_type: boolean
        description: |
          If the deal has had a booking created in the past 12 months.

      - name: has_been_offboarded
        data_type: boolean
        description: |
          If the deal has been cancelled or not. Note that if the Deal 
          has been offboarded on the 5th day, this column will be false 
          for the days 1st to 4th, and true from the day 5th onwards.

  - name: int_kpis__dimension_deals
    description: |
      This model provides the main baseline for deals for KPIs.
      It combines deals from both Hubspot and Core. In case of a deal 
      being present in both systems, Hubspot data will take precedence 
      in terms of deal name. Besides, the model provides the main billing 
      country according to core, in case core deals exist. Lastly, the first 
      date considered as effective date corresponds to the minimum between the 
      date a deal has gone live according to Hubspot and the first date a user 
      host has been created according to Core.

    columns:
      - name: id_deal
        data_type: string
        description: ID of the account, or deal.
        data_tests:
          - not_null
          - unique
      - name: main_deal_name
        data_type: string
        description: |
          Main deal name according to Hubspot. In case of a deal being present 
          in both systems, Hubspot data will take precedence in terms of deal name.
        data_tests:
          - not_null
      - name: is_deal_in_hubspot
        data_type: boolean
        description: |
          Does the deal exist in HubSpot.
      - name: has_active_pms
        data_type: boolean
        description: |
          Does the deal have an active associated PMS.
        data_tests:
          - not_null
      - name: active_pms_list
        data_type: string
        description: |
          Name of the active PMS associated with the deal. It can have more than
          one PMS associated with it. It can be null if it doesn't have any PMS associated.
      - name: client_type
        data_type: string
        description: |
          Type of client associated with the deal.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - API
                - PLATFORM
      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level according to 
          Core. It can be null if the deal is only present in Hubspot or if the 
          field is null in Core.
      - name: effective_deal_start_date_utc
        data_type: date
        description: |
          Effective start date of the deal, this corresponds to the date a deal has 
          gone live according to Hubspot.
        data_tests:
          - not_null
      - name: effective_deal_start_month
        data_type: date
        description: |
          This field represents the first day of the month of the effective deal 
          start date. This is obtained by truncating the effective deal start date 
          to the month.
        data_tests:
          - not_null
      - name: min_user_in_new_dash_since_date_utc
        data_type: date
        description: |
          The date when the first user host appeared in New Dash for this deal.
      - name: hubspot_deal_cancellation_date_utc
        data_type: date
        description: |
          Effective date at which the deal cancelled it's partnership with Superhog.
      - name: hubspot_deal_cancellation_month
        data_type: date
        description: |
          This field represents the first day of the month of the cancellation date 
          of the deal. This is obtained by truncating the cancellation deal date 
          to the month.
      - name: hubspot_listing_segmentation
        data_type: integer
        description: |
          Segment value based on the number of properties managed by the deal
          according to what was set in HubSpot.
        data_tests:
          - accepted_values:
              values:
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

  - name: int_kpis__dimension_daily_accommodation
    description: |
      This model computes the deal segmentation per number of 
      listings in a daily manner.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal

    columns:
      - name: date
        data_type: date
        description: Specific date in which the segmentation applies.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
      - name: accommodations_booked_in_12_months
        data_type: bigint
        description:
          Actual volume of listings that have been booked in the past 12 months
          for a given deal and date.

  - name: int_kpis__metric_daily_created_bookings
    description: |
      This model computes the Daily Created Bookings at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal, 
      - business_scope.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Bookings have been created.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_bookings
        data_type: bigint
        description: |
          Count of daily bookings created in a given date and per specified dimension.

      - name: cancelled_created_bookings
        data_type: bigint
        description: |
          Count of daily bookings created in a given date and per specified dimension 
          that have been cancelled.

      - name: not_cancelled_created_bookings
        data_type: bigint
        description: |
          Count of daily bookings created in a given date and per specified dimension 
          that have not been cancelled.

  - name: int_kpis__metric_monthly_created_bookings
    description: |
      This model computes the Monthly Created Bookings at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
       - end_date, 
       - id_deal, 
       - business_scope, 
       - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings created in a given month
          and per specified dimension.

      - name: cancelled_created_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings created in a given month
          and per specified dimension that have been cancelled.

      - name: not_cancelled_created_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings created in a given month
          and per specified dimension that have not been cancelled.

  - name: int_kpis__metric_mtd_created_bookings
    description: |
      This model computes the Month-To-Date Created Bookings at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
       - end_date, 
       - id_deal, 
       - business_scope, 
       - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings created in a given month up to the 
          given date and per specified dimension.

      - name: cancelled_created_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings created in a given month up to the
          given date and per specified dimension that have been cancelled.

      - name: not_cancelled_created_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings created in a given month up to the
          given date and per specified dimension that have not been cancelled.

  - name: int_kpis__agg_daily_billable_bookings
    description: |
      This model computes the dimension aggregation for 
      Daily Billable Bookings.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The start and end date of the time range considered for 
          the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - billable_bookings
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: billable_bookings
        data_type: bigint
        description: The daily billable bookings for a given date, dimension and value.

  - name: int_kpis__agg_monthly_created_bookings
    description: |
      This model computes the dimension aggregation for 
      Monthly Created Bookings.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_bookings
                - cancelled_created_bookings
                - not_cancelled_created_bookings
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_bookings
        data_type: bigint
        description: The monthly created bookings for a given date, dimension and value.

      - name: cancelled_created_bookings
        data_type: bigint
        description: |
          The monthly cancelled created bookings for a given date, dimension and value.

      - name: not_cancelled_created_bookings
        data_type: bigint
        description: |
          The monthly not cancelled created bookings for a given date, dimension and value.

      - name: cancelled_created_bookings_rate
        data_type: decimal
        description: |
          The monthly rate of cancelled created bookings for a given date, dimension and value.

  - name: int_kpis__agg_mtd_created_bookings
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Created Bookings.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_bookings
                - cancelled_created_bookings
                - not_cancelled_created_bookings
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_bookings
        data_type: bigint
        description: The month-to-date created bookings for a given date, dimension and value.

      - name: cancelled_created_bookings
        data_type: bigint
        description: |
          The month-to-date cancelled created bookings for a given date, dimension and value.

      - name: not_cancelled_created_bookings
        data_type: bigint
        description: |
          The month-to-date not cancelled created bookings for a given date, dimension and value.

      - name: cancelled_created_bookings_rate
        data_type: decimal
        description: |
          The month-to-date rate of cancelled created bookings for a given date, dimension and value.

  - name: int_kpis__metric_daily_created_guest_journeys
    description: |
      This model computes the Daily Created Guest Journeys at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - business_scope

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Guest Journeys have been created.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys created in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_created_guest_journeys
    description: |
      This model computes the Monthly Created Guest Journeys at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_guest_journeys
        data_type: bigint
        description: |
          Count of accumulated guest journeys created in a given month
          and per specified dimension.

  - name: int_kpis__metric_mtd_created_guest_journeys
    description: |
      This model computes the Month-To-Date Created Guest Journeys at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_guest_journeys
        data_type: bigint
        description: |
          Count of accumulated guest journeys created in a given month up to the 
          given date and per specified dimension.

  - name: int_kpis__agg_monthly_created_guest_journeys
    description: |
      This model computes the dimension aggregation for 
      Monthly Created Guest Journeys.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_guest_journeys
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_guest_journeys
        data_type: bigint
        description: The monthly created guest journeys for a given date, dimension and value.

  - name: int_kpis__agg_mtd_created_guest_journeys
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Created Guest Journeys.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_guest_journeys
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_guest_journeys
        data_type: bigint
        description: The month-to-date created guest journeys for a given date, dimension and value.

  - name: int_kpis__metric_daily_started_guest_journeys
    description: |
      This model computes the Daily Started Guest Journeys at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - business_scope

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Guest Journeys have been started.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: started_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys started in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_started_guest_journeys
    description: |
      This model computes the Monthly Started Guest Journeys at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: started_guest_journeys
        data_type: bigint
        description: |
          Count of accumulated guest journeys started in a given month
          and per specified dimension.

  - name: int_kpis__metric_mtd_started_guest_journeys
    description: |
      This model computes the Month-To-Date Started Guest Journeys at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: started_guest_journeys
        data_type: bigint
        description: |
          Count of accumulated guest journeys started in a given month up to the 
          given date and per specified dimension.

  - name: int_kpis__agg_monthly_started_guest_journeys
    description: |
      This model computes the dimension aggregation for 
      Monthly Started Guest Journeys.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - started_guest_journeys
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: started_guest_journeys
        data_type: bigint
        description: The monthly started guest journeys for a given date, dimension and value.

  - name: int_kpis__agg_mtd_started_guest_journeys
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Started Guest Journeys.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - started_guest_journeys
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: started_guest_journeys
        data_type: bigint
        description: The month-to-date started guest journeys for a given date, dimension and value.

  - name: int_kpis__metric_daily_completed_guest_journeys
    description: |
      This model computes the Daily Completed Guest Journeys at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - business_scope.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Guest Journeys have been completed.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: completed_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys completed in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_completed_guest_journeys
    description: |
      This model computes the Monthly Completed Guest Journeys at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: completed_guest_journeys
        data_type: bigint
        description: |
          Count of accumulated guest journeys completed in a given month
          and per specified dimension.

  - name: int_kpis__metric_mtd_completed_guest_journeys
    description: |
      This model computes the Month-To-Date Completed Guest Journeys at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: completed_guest_journeys
        data_type: bigint
        description: |
          Count of accumulated guest journeys completed in a given month up to the 
          given date and per specified dimension.

  - name: int_kpis__agg_monthly_completed_guest_journeys
    description: |
      This model computes the dimension aggregation for 
      Monthly Completed Guest Journeys.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - completed_guest_journeys
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: completed_guest_journeys
        data_type: bigint
        description: The monthly completed guest journeys for a given date, dimension and value.

  - name: int_kpis__agg_mtd_completed_guest_journeys
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Completed Guest Journeys.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - completed_guest_journeys
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: completed_guest_journeys
        data_type: bigint
        description: The month-to-date completed guest journeys for a given date, dimension and value.

  - name: int_kpis__metric_daily_guest_journeys_with_payment
    description: |
      This model computes the Daily Guest Journeys with Payment at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - business_scope

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Guest Journeys have been completed.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: guest_journeys_with_payment
        data_type: bigint
        description: |
          Count of daily guest journeys completed in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_guest_journeys_with_payment
    description: |
      This model computes the Monthly Guest Journeys with Payment at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: guest_journeys_with_payment
        data_type: bigint
        description: |
          Count of accumulated guest journeys completed in a given month
          and per specified dimension.

  - name: int_kpis__metric_mtd_guest_journeys_with_payment
    description: |
      This model computes the Month-To-Date Guest Journeys with Payment at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: guest_journeys_with_payment
        data_type: bigint
        description: |
          Count of accumulated guest journeys completed in a given month up to the 
          given date and per specified dimension.

  - name: int_kpis__agg_monthly_guest_journeys_with_payment
    description: |
      This model computes the dimension aggregation for 
      Monthly Guest Journeys with Payment.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - guest_journeys_with_payment
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: guest_journeys_with_payment
        data_type: bigint
        description: The monthly guest journeys with payment for a given date, dimension and value.

  - name: int_kpis__agg_mtd_guest_journeys_with_payment
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Guest Journeys with Payment.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - guest_journeys_with_payment
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: guest_journeys_with_payment
        data_type: bigint
        description: The month-to-date guest journeys with payment for a given date, dimension and value.

  - name: int_kpis__metric_daily_guest_payments
    description: |
      This model computes the Daily Guest Payments at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - has_id_check,
      - business_scope

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - has_id_check
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Guest Journeys have been completed.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: has_id_check
        data_type: string
        description: Does the verification in the guest journey
          includes Government Id Check for the bookings.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - W/O Id Check
                - With Id Check

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: deposit_fees_in_gbp
        data_type: decimal
        description: |
          Sum of deposit fees paid by guests, without taxes, in GBP 
          in a given date and per specified dimension.

      - name: waiver_payments_in_gbp
        data_type: decimal
        description: |
          Sum of waiver payments paid by guests, without taxes, in GBP
          in a given date and per specified dimension.

      - name: checkin_cover_fees_in_gbp
        data_type: decimal
        description: |
          Sum of checkin cover fees paid by guests, without taxes, in GBP
          in a given date and per specified dimension.

      - name: stay_disrupt_fees_in_gbp
        data_type: decimal
        description: |
          Sum of stay disrupt fees paid by guests, without taxes, in GBP
          in a given date and per specified dimension.

      - name: total_guest_payments_in_gbp
        data_type: decimal
        description: |
          Sum of total payments paid by guests, without taxes, in GBP
          in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_guest_payments
    description: |
      This model computes the Monthly Guest Payments at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal,
      - business_scope,
      - has_id_check, 
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - has_id_check
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: has_id_check
        data_type: string
        description: Does the verification in the guest journey
          includes Government Id Check for the bookings.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - W/O Id Check
                - With Id Check

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: deposit_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated deposit fees paid by guests, without taxes, 
          in GBP in a given month and per specified dimension.

      - name: waiver_payments_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated waiver payments paid by guests, without taxes, 
          in GBP in a given month and per specified dimension.

      - name: checkin_cover_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated checkin cover fees by guests, without taxes, 
          in GBP in a given month and per specified dimension.

      - name: stay_disrupt_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated stay disrupt fees by guests, without taxes, 
          in GBP in a given month and per specified dimension.

      - name: total_guest_payments_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated total payments paid by guests, without taxes, 
          in GBP in a given month and per specified dimension.

  - name: int_kpis__metric_mtd_guest_payments
    description: |
      This model computes the Month-To-Date Guest Payments at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal,
      - business_scope,
      - has_id_check,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - has_id_check
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: has_id_check
        data_type: string
        description: Does the verification in the guest journey
          includes Government Id Check for the bookings.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - W/O Id Check
                - With Id Check

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: deposit_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated deposit fees paid by guests, without taxes, 
          in GBP in a given month up to the given date and per specified dimension.

      - name: waiver_payments_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated waiver payments paid by guests, without taxes, 
          in GBP in a given month up to the given date and per specified dimension.

      - name: checkin_cover_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated checkin cover fees by guests, without taxes, 
          in GBP in a given month up to the given date and per specified dimension.

      - name: stay_disrupt_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated stay disrupt fees by guests, without taxes, 
          in GBP in a given month up to the given date and per specified dimension.

      - name: total_guest_payments_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated total payments paid by guests, without taxes, 
          in GBP in a given month up to the given date and per specified dimension.

  - name: int_kpis__agg_monthly_guest_payments
    description: |
      This model computes the dimension aggregation for 
      Monthly Guest Payments.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - deposit_fees_in_gbp
                - waiver_payments_in_gbp
                - checkin_cover_fees_in_gbp
                - stay_disrupt_fees_in_gbp
                - total_guest_payments_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal
                - by_has_id_check

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: deposit_fees_in_gbp
        data_type: decimal
        description: |
          The monthly deposit fees paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

      - name: waiver_payments_in_gbp
        data_type: decimal
        description: |
          The monthly waiver payments paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

      - name: checkin_cover_fees_in_gbp
        data_type: decimal
        description: |
          The monthly checkin cover fees paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

      - name: stay_disrupt_fees_in_gbp
        data_type: decimal
        description: |
          The monthly stay disrupt fees paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

      - name: total_guest_payments_in_gbp
        data_type: decimal
        description: |
          The monthly total payments paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

  - name: int_kpis__agg_mtd_guest_payments
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Guest Payments.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - deposit_fees_in_gbp
                - waiver_payments_in_gbp
                - checkin_cover_fees_in_gbp
                - stay_disrupt_fees_in_gbp
                - total_guest_payments_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal
                - by_has_id_check

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: deposit_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date deposit fees paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

      - name: waiver_payments_in_gbp
        data_type: decimal
        description: |
          The month-to-date waiver payments paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

      - name: checkin_cover_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date checkin cover fees paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

      - name: stay_disrupt_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date stay disrupt fees paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

      - name: total_guest_payments_in_gbp
        data_type: decimal
        description: |
          The month-to-date total payments paid by guests, without taxes, in GBP 
          for a given range date, dimension and value.

  - name: int_kpis__metric_daily_check_out_bookings
    description: |
      This model computes the Daily Check-out Bookings at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal, 
      - business_scope.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Bookings have been checked-out.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: check_out_bookings
        data_type: bigint
        description: |
          Count of daily bookings checked-out in a given date and per specified dimension.

      - name: cancelled_check_out_bookings
        data_type: bigint
        description: |
          Count of daily bookings checked-out in a given date and per specified dimension 
          that have been cancelled.

      - name: not_cancelled_check_out_bookings
        data_type: bigint
        description: |
          Count of daily bookings checked-out in a given date and per specified dimension 
          that have not been cancelled.

      - name: billable_check_out_bookings
        data_type: bigint
        description: |
          Count of daily bookings checked-out in a given date and per specified dimension
          that are billable. Note that the consideration for billable booking is different 
          depending on the business scope of the booking.

  - name: int_kpis__metric_monthly_check_out_bookings
    description: |
      This model computes the Monthly Check-out Bookings at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
       - end_date, 
       - id_deal, 
       - business_scope, 
       - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: check_out_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings checked-out in a given month
          and per specified dimension.

      - name: cancelled_check_out_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings checked-out in a given month
          and per specified dimension that have been cancelled.

      - name: not_cancelled_check_out_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings checked-out in a given month
          and per specified dimension that have not been cancelled.

      - name: billable_check_out_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings checked-out in a given month 
          and per specified dimension that are billable. 
          Note that the consideration for billable booking is different 
          depending on the business scope of the booking.

  - name: int_kpis__metric_mtd_check_out_bookings
    description: |
      This model computes the Month-To-Date Check-out Bookings at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
       - end_date, 
       - id_deal, 
       - business_scope, 
       - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: check_out_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings checked-out in a given month up to the 
          given date and per specified dimension.

      - name: cancelled_check_out_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings checked-out in a given month up to the 
          given date and per specified dimension that have been cancelled.

      - name: not_cancelled_check_out_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings checked-out in a given month up to the 
          given date and per specified dimension that have not been cancelled.

      - name: billable_check_out_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings checked-out in a given month up to the 
          given date and per specified dimension that are billable. 
          Note that the consideration for billable booking is different 
          depending on the business scope of the booking.

  - name: int_kpis__agg_monthly_check_out_bookings
    description: |
      This model computes the dimension aggregation for 
      Monthly Check-out Bookings.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - check_out_bookings
                - cancelled_check_out_bookings
                - not_cancelled_check_out_bookings
                - billable_check_out_bookings
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: check_out_bookings
        data_type: bigint
        description: The monthly checked-out bookings for a given date, dimension and value.

      - name: cancelled_check_out_bookings
        data_type: bigint
        description: |
          The monthly cancelled checked-out bookings for a given date, dimension and value.

      - name: not_cancelled_check_out_bookings
        data_type: bigint
        description: |
          The monthly not cancelled checked-out bookings for a given date, dimension and value.

      - name: billable_check_out_bookings
        data_type: bigint
        description: |
          The monthly billable checked-out bookings for a given date, dimension and value.

      - name: cancelled_check_out_bookings_rate
        data_type: decimal
        description: |
          The monthly rate of cancelled checked-out bookings for a given date, dimension and value.

  - name: int_kpis__agg_mtd_check_out_bookings
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Check-out Bookings.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - check_out_bookings
                - cancelled_check_out_bookings
                - not_cancelled_check_out_bookings
                - billable_check_out_bookings
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: check_out_bookings
        data_type: bigint
        description: The month-to-date checked-out bookings for a given date, dimension and value.

      - name: cancelled_check_out_bookings
        data_type: bigint
        description: |
          The month-to-date cancelled checked-out bookings for a given date, dimension and value.

      - name: not_cancelled_check_out_bookings
        data_type: bigint
        description: |
          The month-to-date not cancelled checked-out bookings for a given date, dimension and value.

      - name: billable_check_out_bookings
        data_type: bigint
        description: |
          The month-to-date billable checked-out bookings for a given date, dimension and value.

      - name: cancelled_check_out_bookings_rate
        data_type: decimal
        description: |
          The month-to-date rate of cancelled checked-out bookings for a given date, dimension and value.

  - name: int_kpis__metric_daily_billable_bookings
    description: |
      This model computes the Daily Billable Bookings at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - business_scope.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Bookings have been billable.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: billable_bookings
        data_type: bigint
        description: |
          Count of daily bookings billable in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_billable_bookings
    description: |
      This model computes the Monthly Billable Bookings at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
       - end_date, 
       - id_deal, 
       - business_scope,
       - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: billable_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings billable in a given month
          and per specified dimension.

  - name: int_kpis__metric_mtd_billable_bookings
    description: |
      This model computes the Month-To-Date Billable Bookings at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
       - end_date, 
       - id_deal, 
       - business_scope,
       - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: billable_bookings
        data_type: bigint
        description: |
          Count of accumulated bookings billable in a given month up to the 
          given date and per specified dimension.

  - name: int_kpis__agg_monthly_billable_bookings
    description: |
      This model computes the dimension aggregation for 
      Monthly Billable Bookings.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - billable_bookings
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: billable_bookings
        data_type: bigint
        description: The monthly billable bookings for a given date, dimension and value.

  - name: int_kpis__agg_mtd_billable_bookings
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Billable Bookings.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - billable_bookings
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: billable_bookings
        data_type: bigint
        description: The month-to-date billable bookings for a given date, dimension and value.

  - name: int_kpis__metric_daily_check_in_attributed_guest_journeys
    description: |
      This model computes Guest Journey metrics at the deepest granularity
      level for the Guest Products KPIs.
      This model uses the Check-In date of the bookings for the date attribute.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal, 
      - has_payment,
      - has_id_check.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - has_payment
            - has_id_check

    columns:
      - name: date
        data_type: date
        description: Date of Check-In of the bookings for the guest journeys.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: has_payment
        data_type: string
        description: Has there been any guest payments on the guest journey.
        data_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.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - W/O Id Check
                - With Id Check

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys created, excluding cancelled bookings,
          in a given date and per specified dimension.

      - name: started_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys started, excluding cancelled bookings, 
          in a given date and per specified dimension.

      - name: completed_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys completed, excluding cancelled bookings,
          in a given date and per specified dimension.

      - name: created_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys created in a given date and
           per specified dimension.

      - name: started_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys started in a given date and
           per specified dimension.

      - name: completed_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys completed in a given date and
           per specified dimension.

      - name: count_csat_score
        data_type: bigint
        description: |
          Count of daily guest journeys with CSAT (customer satisfaction score)
          in a given date and per specified dimension.

      - name: average_csat_score
        data_type: bigint
        description: |
          Average daily CSAT score in a given date and per specified dimension.

  - name: int_kpis__metric_daily_host_resolutions
    description: |
      This model computes the Daily Host Resolutions at the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - business_scope.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when Host Resolutions transaction happened.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: xero_host_resolution_payment_count
        data_type: bigint
        description: |
          Count of daily Host Resolution Payment Count in a given date and per specified dimension.

      - name: xero_host_resolution_amount_paid_in_gbp
        data_type: decimal
        description: |
          Sum of daily Host Resolution Amount Paid, in GBP, in a given 
          date and per specified dimension.

  - name: int_kpis__metric_monthly_host_resolutions
    description: |
      This model computes the Monthly Host Resolutions at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: xero_host_resolution_payment_count
        data_type: bigint
        description: |
          Count of accumulated Host Resolution Payment Count in a 
          given month and per specified dimension.

      - name: xero_host_resolution_amount_paid_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Host Resolution Amount Paid, in GBP, in a 
          given month and per specified dimension.

  - name: int_kpis__metric_mtd_host_resolutions
    description: |
      This model computes the Month-To-Date Host Resolutions at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: xero_host_resolution_payment_count
        data_type: bigint
        description: |
          Count of accumulated Host Resolution Payment Count in a 
          given month up to the given date and per specified dimension.

      - name: xero_host_resolution_amount_paid_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Host Resolution Amount Paid, in GBP, in a 
          given month up to the given date and per specified dimension.

  - name: int_kpis__agg_monthly_host_resolutions
    description: |
      This model computes the dimension aggregation for 
      Monthly Host Resolutions.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - xero_host_resolution_payment_count
                - xero_host_resolution_amount_paid_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: xero_host_resolution_payment_count
        data_type: bigint
        description: |
          The monthly Host Resolution Payment Count for a given date, dimension and value.

      - name: xero_host_resolution_amount_paid_in_gbp
        data_type: decimal
        description: |
          The monthly Host Resolution Amount Paid, in GBP, for a 
          given date, dimension and value.

  - name: int_kpis__agg_mtd_host_resolutions
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Host Resolutions.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - xero_host_resolution_payment_count
                - xero_host_resolution_amount_paid_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: xero_host_resolution_payment_count
        data_type: bigint
        description: |
          The month-to-date Host Resolution Payment Count for a given date, dimension and value.

      - name: xero_host_resolution_amount_paid_in_gbp
        data_type: decimal
        description: |
          The month-to-date Host Resolution Amount Paid, in GBP, for a 
          given date, dimension and value.

  - name: int_kpis__metric_daily_invoiced_revenue
    description: |
      This model computes the Daily Invoiced Revenue at the deepest granularity.

      The logic behind this model is mostly retrieving different revenue sources 
      that are invoiced to the hosts. This considers both Invoices and Credit Notes, 
      thus metrics correspond to the net amount. 

      Data is retrieved by account codes following accounting standards, and is 
      aggregated at different levels of business revenue understanding.
      Only documents with status equal to Authorised or Paid are considered. Revenue is 
      computed without taxes, in GBP. Revenue is attributed to the document issued date, 
      thus it might show some differences vs. financials since we do not consider accrued 
      revenue.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - business_scope.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when the document was issued.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: xero_basic_protection_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Basic Protection Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_waiver_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Waiver Pro Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_id_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily ID Verification Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_protection_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Protection Pro Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_screening_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Screening Plus Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_sex_offenders_check_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Sex Offenders Check Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_protection_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Protection Pro Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_basic_screening_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Basic Screening Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_old_dashboard_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Old Dashboard Booking Net Fees, in GBP, without taxes 
          in a given date and per specified dimension.

      - name: xero_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Total Booking Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This takes into 
          account both Old Dashboard and New Dashboard.

      - name: xero_listing_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Listing Net Fees, in GBP, without taxes 
          in a given date and per specified dimension.

      - name: xero_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Verification Net Fees, in GBP, without taxes 
          in a given date and per specified dimension.

      - name: xero_operator_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Operator Net Fees, which include New Dash Services,
          Booking, Listing and Verification Net Fees for Old Dash; 
          in GBP, without taxes in a given date and per specified dimension.
          Partial data of 2022 corresponds to revenue categorised as Other Revenue 
          according to the financials.

      - name: xero_e_deposit_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily E-Deposit Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is an 
          API service.

      - name: xero_check_in_hero_api_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Check-In Hero API Net Fees, in GBP, without taxes
          in a given date and per specified dimension. This is an
          API service.

      - name: xero_screen_and_protect_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Screen & Protect API Net Fees, in GBP, without taxes
          in a given date and per specified dimension. This is an
          API service.

      - name: xero_flex_api_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Flex API Net Fees, in GBP, without taxes
          in a given date and per specified dimension. This is an
          API service.

      - name: xero_athena_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Athena (Guesty) Net Fees, in GBP, without taxes 
          in a given date and per specified dimension. This is an 
          API service.

      - name: xero_guesty_resolutions_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Guesty Resolutions Net Fees, in GBP, without taxes 
          in a given date and per specified dimension.

      - name: xero_guesty_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Athena (Guesty) Net Fees and Guesty Resolutions 
          Net Fees, in GBP, without taxes in a given date and per specified 
          dimension.

      - name: xero_apis_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily API Net Fees, which include E-Deposit,
          and Athena (Guesty) Net Fees, in GBP, without taxes 
          in a given date and per specified dimension.

      - name: xero_waiver_paid_back_to_host_in_gbp
        data_type: decimal
        description: |
          Sum of daily Waiver Amount Paid Back to Hosts, in GBP, 
          without taxes in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_invoiced_revenue
    description: |
      This model computes the Monthly Invoiced Revenue at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: xero_basic_protection_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Basic Protection Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_waiver_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Waiver Pro Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_id_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated ID Verification Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_protection_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Protection Plus Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_screening_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Screening Plus Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_sex_offenders_check_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Sex Offenders Check Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_protection_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Protection Pro Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_basic_screening_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Basic Screening Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is a New 
          Dashboard service.

      - name: xero_old_dashboard_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Old Dashboard Booking Net Fees, in GBP, without taxes 
          in a given month and per specified dimension.

      - name: xero_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Total Booking Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This takes into 
          account both Old Dashboard and New Dashboard.

      - name: xero_listing_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Listing Net Fees, in GBP, without taxes 
          in a given month and per specified dimension.

      - name: xero_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Verification Net Fees, in GBP, without taxes 
          in a given month and per specified dimension.

      - name: xero_operator_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Operator Net Fees, which include New Dash Services,
          Booking, Listing and Verification Net Fees for Old Dash; 
          in GBP, without taxes in a given month and per specified dimension.
          Partial data of 2022 corresponds to revenue categorised as Other Revenue 
          according to the financials.

      - name: xero_e_deposit_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated E-Deposit Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is an 
          API service.

      - name: xero_check_in_hero_api_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Check-In Hero API Net Fees, in GBP, without taxes
          in a given month and per specified dimension. This is an
          API service.

      - name: xero_screen_and_protect_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Screen & Protect API Net Fees, in GBP, without taxes
          in a given month and per specified dimension. This is an
          API service.

      - name: xero_flex_api_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Flex API Net Fees, in GBP, without taxes
          in a given date and per specified dimension. This is an
          API service.

      - name: xero_athena_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Athena (Guesty) Net Fees, in GBP, without taxes 
          in a given month and per specified dimension. This is an 
          API service.

      - name: xero_guesty_resolutions_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Guesty Resolutions Net Fees, in GBP, without taxes 
          in a given month and per specified dimension.

      - name: xero_guesty_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Athena (Guesty) Net Fees and Guesty Resolutions 
          Net Fees, in GBP, without taxes in a given month and per specified 
          dimension.

      - name: xero_waiver_paid_back_to_host_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Waiver Amount Paid Back to Hosts, in GBP, 
          without taxes in a given month and per specified dimension.

  - name: int_kpis__metric_mtd_invoiced_revenue
    description: |
      This model computes the Month-To-Date Invoiced Revenue at the 
      deepest granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: xero_basic_protection_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Basic Protection Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is a New Dashboard service.

      - name: xero_waiver_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Waiver Pro Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is a New Dashboard service.

      - name: xero_id_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated ID Verification Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is a New Dashboard service.

      - name: xero_protection_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Protection Plus Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is a New Dashboard service.

      - name: xero_screening_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Screening Plus Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is a New Dashboard service.

      - name: xero_sex_offenders_check_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Sex Offenders Check Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is a New Dashboard service.

      - name: xero_protection_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Protection Pro Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is a New Dashboard service.

      - name: xero_basic_screening_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Basic Screening Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is a New Dashboard service.

      - name: xero_old_dashboard_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Old Dashboard Booking Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension.

      - name: xero_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Total Booking Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This takes into account both Old Dashboard and New Dashboard.

      - name: xero_listing_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Listing Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension.

      - name: xero_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Verification Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension.

      - name: xero_operator_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Operator Net Fees, which include New Dash Services,
          Booking, Listing and Verification Net Fees for Old Dash; 
          in GBP, without taxes in a given month up to the given date 
          and per specified dimension.
          Partial data of 2022 corresponds to revenue categorised as Other Revenue 
          according to the financials.

      - name: xero_e_deposit_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated E-Deposit Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is an API service.

      - name: xero_check_in_hero_api_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Check-In Hero API Net Fees, in GBP, without taxes
          in a given month up to the given date and per specified dimension. 
          This is an API service.

      - name: xero_screen_and_protect_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Screen & Protect API Net Fees, in GBP, without taxes
          in a given month up to the given date and per specified dimension. 
          This is an API service.

      - name: xero_flex_api_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Flex API Net Fees, in GBP, without taxes
          in a given date and per specified dimension. This is an
          API service.

      - name: xero_athena_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Athena (Guesty) Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension. 
          This is an API service.

      - name: xero_guesty_resolutions_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Guesty Resolutions Net Fees, in GBP, without taxes 
          in a given month up to the given date and per specified dimension.

      - name: xero_guesty_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of accummulated Athena (Guesty) Net Fees and Guesty Resolutions 
          Net Fees, in GBP, without taxes in a given month up to the given date 
          and per specified dimension.

      - name: xero_waiver_paid_back_to_host_in_gbp
        data_type: decimal
        description: |
          Sum of accumulated Waiver Amount Paid Back to Hosts, in GBP, 
          without taxes in a given month up to the given date and per 
          specified dimension.

  - name: int_kpis__agg_monthly_invoiced_revenue
    description: |
      This model computes the dimension aggregation for 
      Monthly Invoiced Revenue.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - xero_basic_protection_net_fees_in_gbp
                - xero_waiver_pro_net_fees_in_gbp
                - xero_id_verification_net_fees_in_gbp
                - xero_protection_plus_net_fees_in_gbp
                - xero_screening_plus_net_fees_in_gbp
                - xero_sex_offenders_check_net_fees_in_gbp
                - xero_protection_pro_net_fees_in_gbp
                - xero_basic_screening_net_fees_in_gbp
                - xero_old_dashboard_booking_net_fees_in_gbp
                - xero_booking_net_fees_in_gbp
                - xero_listing_net_fees_in_gbp
                - xero_verification_net_fees_in_gbp
                - xero_operator_net_fees_in_gbp
                - xero_e_deposit_net_fees_in_gbp
                - xero_check_in_hero_api_net_fees_in_gbp
                - xero_screen_and_protect_net_fees_in_gbp
                - xero_flex_api_net_fees_in_gbp
                - xero_athena_net_fees_in_gbp
                - xero_guesty_resolutions_net_fees_in_gbp
                - xero_guesty_net_fees_in_gbp
                - xero_apis_net_fees_in_gbp
                - xero_waiver_paid_back_to_host_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: xero_basic_protection_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Basic Protection Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_waiver_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Waiver Pro Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_id_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly ID Verification Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_protection_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Protection Plus Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_screening_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Screening Plus Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_sex_offenders_check_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Sex Offenders Check Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_protection_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Protection Pro Net Fees, in GBP, without taxes 
          for a given date, dimension and value.
          This is a New Dashboard service.

      - name: xero_basic_screening_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Basic Screening Net Fees, in GBP, without taxes 
          for a given date, dimension and value.
          This is a New Dashboard service.

      - name: xero_old_dashboard_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Old Dashboard Booking Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Total Booking Net Fees, in GBP, without taxes 
          for a given date, dimension and value. 
          This takes into account both Old Dashboard and New Dashboard.

      - name: xero_listing_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Listing Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Verification Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_operator_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Operator Net Fees, which include New Dash Services,
          Booking, Listing and Verification Net Fees for Old Dash; 
          in GBP, without taxes for a given date, dimension and value.
          Partial data of 2022 corresponds to revenue categorised as Other Revenue 
          according to the financials.

      - name: xero_e_deposit_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly E-Deposit Net Fees, in GBP, without taxes 
          for a given date, dimension and value.
          This is an API service.

      - name: xero_check_in_hero_api_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Check-In Hero API Net Fees, in GBP, without taxes
          for a given date, dimension and value.
          This is an API service.

      - name: xero_screen_and_protect_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Screen & Protect API Net Fees, in GBP, without taxes
          for a given date, dimension and value.
          This is an API service.

      - name: xero_flex_api_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Flex API Net Fees, in GBP, without taxes
          in a given date and per specified dimension. This is an
          API service.

      - name: xero_athena_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Athena (Guesty) Net Fees, in GBP, without taxes 
          for a given date, dimension and value.
          This is an API service.

      - name: xero_guesty_resolutions_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Guesty Resolutions Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_guesty_net_fees_in_gbp
        data_type: decimal
        description: |
          The monthly Athena (Guesty) Net Fees and Guesty Resolutions 
          Net Fees, in GBP, without taxes for a given date, dimension and value.

      - name: xero_waiver_paid_back_to_host_in_gbp
        data_type: decimal
        description: |
          The monthly Waiver Amount Paid Back to Hosts, in GBP, without taxes 
          for a given date, dimension and value.

  - name: int_kpis__agg_mtd_invoiced_revenue
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Invoiced Revenue.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - xero_basic_protection_net_fees_in_gbp
                - xero_waiver_pro_net_fees_in_gbp
                - xero_id_verification_net_fees_in_gbp
                - xero_protection_plus_net_fees_in_gbp
                - xero_screening_plus_net_fees_in_gbp
                - xero_sex_offenders_check_net_fees_in_gbp
                - xero_protection_pro_net_fees_in_gbp
                - xero_basic_screening_net_fees_in_gbp
                - xero_old_dashboard_booking_net_fees_in_gbp
                - xero_booking_net_fees_in_gbp
                - xero_listing_net_fees_in_gbp
                - xero_verification_net_fees_in_gbp
                - xero_operator_net_fees_in_gbp
                - xero_e_deposit_net_fees_in_gbp
                - xero_check_in_hero_api_net_fees_in_gbp
                - xero_screen_and_protect_net_fees_in_gbp
                - xero_flex_api_net_fees_in_gbp
                - xero_athena_net_fees_in_gbp
                - xero_guesty_resolutions_net_fees_in_gbp
                - xero_guesty_net_fees_in_gbp
                - xero_apis_net_fees_in_gbp
                - xero_waiver_paid_back_to_host_in_gbp

          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: xero_basic_protection_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Basic Protection Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_waiver_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Waiver Pro Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_id_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date ID Verification Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_protection_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Protection Plus Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_screening_plus_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Screening Plus Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_sex_offenders_check_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Sex Offenders Check Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_protection_pro_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Protection Pro Net Fees, in GBP, without taxes 
          for a given date, dimension and value.
          This is a New Dashboard service.

      - name: xero_basic_screening_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Basic Screening Net Fees, in GBP, without taxes 
          for a given date, dimension and value.
          This is a New Dashboard service.

      - name: xero_old_dashboard_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Old Dashboard Booking Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_booking_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Total Booking Net Fees, in GBP, without taxes 
          for a given date, dimension and value. 
          This takes into account both Old Dashboard and New Dashboard.

      - name: xero_listing_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Listing Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_verification_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Verification Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_operator_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Operator Net Fees, which include New Dash Services,
          Booking, Listing and Verification Net Fees for Old Dash; 
          in GBP, without taxes for a given date, dimension and value.
          Partial data of 2022 corresponds to revenue categorised as Other Revenue 
          according to the financials.

      - name: xero_e_deposit_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date E-Deposit Net Fees, in GBP, without taxes 
          for a given date, dimension and value.
          This is an API service.

      - name: xero_check_in_hero_api_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Check-In Hero API Net Fees, in GBP, without taxes
          for a given date, dimension and value.
          This is an API service.

      - name: xero_screen_and_protect_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Screen & Protect API Net Fees, in GBP, without taxes
          for a given date, dimension and value.
          This is an API service.

      - name: xero_flex_api_net_fees_in_gbp
        data_type: decimal
        description: |
          Sum of daily Flex API Net Fees, in GBP, without taxes
          in a given date and per specified dimension. This is an
          API service.

      - name: xero_athena_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Athena (Guesty) Net Fees, in GBP, without taxes 
          for a given date, dimension and value.
          This is an API service.

      - name: xero_guesty_resolutions_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Guesty Resolutions Net Fees, in GBP, without taxes 
          for a given date, dimension and value.

      - name: xero_guesty_net_fees_in_gbp
        data_type: decimal
        description: |
          The month-to-date Athena (Guesty) Net Fees and Guesty Resolutions 
          Net Fees, in GBP, without taxes for a given date, dimension and value.

      - name: xero_waiver_paid_back_to_host_in_gbp
        data_type: decimal
        description: |
          The month-to-date Waiver Amount Paid Back to Hosts, in GBP, without taxes 
          for a given date, dimension and value.

  - name: int_kpis__metric_daily_deals
    description: |
      This model computes the Daily Deal metrics at the deepest granularity.

      Be aware that this Deal entity will differ from how the rest of models 
      usually operate. This is because we compute Deal metrics, thus it does 
      not make sense to compute these at Deal level.

      Also, Deal metrics at daily level already contain the time dimension 
      aggregates needed, thus we won't have mtd or monthly equivalent models, 
      but rather just select from this daily model the needed days to recover 
      the necessary information.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - main_billing_country_iso_3_per_deal,
      - business_scope,
      - active_accommodations_per_deal_segmentation

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - main_billing_country_iso_3_per_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: date
        data_type: date
        description: Date containing the Deal metrics.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: new_deals
        data_type: bigint
        description: |
          Count of new deals in a given date and per specified dimension.

      - name: never_booked_deals
        data_type: bigint
        description: |
          Count of never booked deals in a given date and per specified dimension.

      - name: active_deals
        data_type: bigint
        description: |
          Count of active deals in a given date and per specified dimension.

      - name: inactive_deals
        data_type: bigint
        description: |
          Count of inactive deals in a given date and per specified dimension.

      - name: churning_deals
        data_type: bigint
        description: |
          Count of churning deals in a given date and per specified dimension.

      - name: reactivated_deals
        data_type: bigint
        description: |
          Count of reactivated deals in a given date and per specified dimension.

      - name: deals_booked_in_month
        data_type: bigint
        description: |
          Count of deals booked within the month in a given date and per specified dimension.

      - name: deals_booked_in_6_months
        data_type: bigint
        description: |
          Count of deals booked within the past 6 months in a given date and per specified dimension.

      - name: deals_booked_in_12_months
        data_type: bigint
        description: |
          Count of deals booked within the past 12 months in a given date and per specified dimension.

      - name: live_deals
        data_type: bigint
        description: |
          Count of live deals in a given date and per specified dimension. 
          This accounts for New Deals, Active Deals and Reactivated Deals.

  - name: int_kpis__agg_daily_deals
    description: |
      This model computes the dimension aggregation for 
      Daily Deal metrics.

      The primary key of this model is date, dimension 
      and dimension_value.

      Be aware that this Deal entity will differ from how the rest of models 
      usually operate. This is because we compute Deal metrics, thus it does 
      not make sense to compute these at Deal level.

      Also, Deal metrics at daily level already contain the time dimension 
      aggregates needed, thus we won't have mtd or monthly equivalent models, 
      but rather just select from this daily model the needed days to recover 
      the necessary information.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: Date containing the Deal metrics.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - new_deals
                - never_booked_deals
                - active_deals
                - churning_deals
                - inactive_deals
                - reactivated_deals
                - deals_booked_in_month
                - deals_booked_in_6_months
                - deals_booked_in_12_months
                - live_deals

          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: is_end_of_month
        data_type: boolean
        description: True if it's end of month, false otherwise.
        data_tests:
          - not_null

      - name: is_current_month
        data_type: boolean
        description: |
          True if the date is within the current month, false otherwise.
        data_tests:
          - not_null

      - name: is_month_to_date
        data_type: boolean
        description: |
          True if the date is within the scope of month-to-date, false otherwise.
          The scope of month-to-date takes into account both 1) a date being in 
          the current month or 2) a date corresponding to the same month of the 
          previous year, which day number cannot be higher than yesterday's day 
          number.
        data_tests:
          - not_null

      - name: new_deals
        data_type: bigint
        description: |
          Count of new deals for a given date, dimension and value.

      - name: never_booked_deals
        data_type: bigint
        description: |
          Count of never booked deals for a given date, dimension and value.

      - name: active_deals
        data_type: bigint
        description: |
          Count of active deals for a given date, dimension and value.

      - name: inactive_deals
        data_type: bigint
        description: |
          Count of inactive deals for a given date, dimension and value.

      - name: churning_deals
        data_type: bigint
        description: |
          Count of churning deals for a given date, dimension and value.

      - name: reactivated_deals
        data_type: bigint
        description: |
          Count of reactivated deals for a given date, dimension and value.

      - name: deals_booked_in_month
        data_type: bigint
        description: |
          Count of deals booked within the month for a given date, dimension and value.

      - name: deals_booked_in_6_months
        data_type: bigint
        description: |
          Count of deals booked within the past 6 months for a given date, dimension and value.

      - name: deals_booked_in_12_months
        data_type: bigint
        description: |
          Count of deals booked within the past 12 months for a given date, dimension and value.

      - name: live_deals
        data_type: bigint
        description: |
          Count of live deals in a given date and per specified dimension. 
          This accounts for New Deals, Never Booked Deals, Active Deals and Reactivated Deals.

  - name: int_kpis__metric_daily_listings
    description: |
      This model computes the Daily Listing metrics at the deepest granularity.

      Listing metrics at daily level already contain the time dimension 
      aggregates needed, thus we won't have mtd or monthly equivalent models, 
      but rather just select from this daily model the needed days to recover 
      the necessary information.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - business_scope
      - id_deal

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date containing the Listing metrics.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Listing level.
        data_tests:
          - not_null

      - name: new_listings
        data_type: bigint
        description: |
          Count of new listings in a given date and per specified dimension.

      - name: never_booked_listings
        data_type: bigint
        description: |
          Count of never booked listings in a given date and per specified dimension.

      - name: first_time_booked_listings
        data_type: bigint
        description: |
          Count of first-time booked listings in a given date and per specified dimension.

      - name: active_listings
        data_type: bigint
        description: |
          Count of active listings in a given date and per specified dimension.

      - name: inactive_listings
        data_type: bigint
        description: |
          Count of inactive listings in a given date and per specified dimension.

      - name: churning_listings
        data_type: bigint
        description: |
          Count of churning listings in a given date and per specified dimension.

      - name: reactivated_listings
        data_type: bigint
        description: |
          Count of reactivated listings in a given date and per specified dimension.

      - name: listings_booked_in_month
        data_type: bigint
        description: |
          Count of listings booked within the month in a given date and per specified dimension.

      - name: listings_booked_in_6_months
        data_type: bigint
        description: |
          Count of listings booked within the past 6 months in a given date and per specified dimension.

      - name: listings_booked_in_12_months
        data_type: bigint
        description: |
          Count of listings booked within the past 12 months in a given date and per specified dimension.

  - name: int_kpis__agg_daily_listings
    description: |
      This model computes the dimension aggregation for 
      Daily Listing metrics.

      The primary key of this model is date, dimension 
      and dimension_value.

      Listing metrics at daily level already contain the time dimension 
      aggregates needed, thus we won't have mtd or monthly equivalent models, 
      but rather just select from this daily model the needed days to recover 
      the necessary information.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: Date containing the Listing metrics.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - new_listings
                - never_booked_listings
                - first_time_booked_listings
                - active_listings
                - churning_listings
                - inactive_listings
                - reactivated_listings
                - listings_booked_in_month
                - listings_booked_in_6_months
                - listings_booked_in_12_months

          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_business_scope

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: is_end_of_month
        data_type: boolean
        description: True if it's end of month, false otherwise.
        data_tests:
          - not_null

      - name: is_current_month
        data_type: boolean
        description: |
          True if the date is within the current month, false otherwise.
        data_tests:
          - not_null

      - name: is_month_to_date
        data_type: boolean
        description: |
          True if the date is within the scope of month-to-date, false otherwise.
          The scope of month-to-date takes into account both 1) a date being in 
          the current month or 2) a date corresponding to the same month of the 
          previous year, which day number cannot be higher than yesterday's day 
          number.
        data_tests:
          - not_null

      - name: new_listings
        data_type: bigint
        description: |
          Count of new listings for a given date, dimension and value.

      - name: never_booked_listings
        data_type: bigint
        description: |
          Count of never booked listings for a given date, dimension and value.

      - name: first_time_booked_listings
        data_type: bigint
        description: |
          Count of first-time booked listings for a given date, dimension and value.

      - name: active_listings
        data_type: bigint
        description: |
          Count of active listings for a given date, dimension and value.

      - name: inactive_listings
        data_type: bigint
        description: |
          Count of inactive listings for a given date, dimension and value.

      - name: churning_listings
        data_type: bigint
        description: |
          Count of churning listings for a given date, dimension and value.

      - name: reactivated_listings
        data_type: bigint
        description: |
          Count of reactivated listings for a given date, dimension and value.

      - name: listings_booked_in_month
        data_type: bigint
        description: |
          Count of listings booked within the month for a given date, dimension and value.

      - name: listings_booked_in_6_months
        data_type: bigint
        description: |
          Count of listings booked within the past 6 months for a given date, dimension and value.

      - name: listings_booked_in_12_months
        data_type: bigint
        description: |
          Count of listings booked within the past 12 months for a given date, dimension and value.

  - name: int_kpis__dimension_date_product_guest
    description: |
      This model computes a cross join of dates with all combinations of
      guest products dimensions.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date_day
            - has_payment
            - has_id_check
            - main_billing_country_iso_3_per_deal
    columns:
      - name: date_day
        data_type: date
        description: "Date of when Guest Journeys have been completed."
        data_tests:
          - not_null

      - name: date_week
        data_type: string
        description: "Week number of when Guest Journeys have been completed."
        data_tests:
          - not_null

      - name: has_payment
        data_type: string
        description: Has there been any guest payments on the guest journey.
        data_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.
        data_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.
        data_tests:
          - not_null

  - name: int_kpis__product_guest_daily_metrics
    description: |
      This model computes the Daily Guest Metrics at the deepest granularity.
      Here all metrics are attributed to the Check-in Date of the associated
      booking, except for payments which are attributed to payment date.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date_day,
      - py_date_day,
      - id_deal,
      - has_id_check,
      - main_billing_country_iso_3_per_deal.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date_day
            - py_date_day
            - has_payment
            - has_id_check
            - main_billing_country_iso_3_per_deal
    columns:
      - name: date_day
        data_type: date
        description: "Date of when Guest Journeys have been completed."
        data_tests:
          - not_null

      - name: date_week
        data_type: string
        description: "Week number of when Guest Journeys have been completed."
        data_tests:
          - not_null

      - name: py_date_day
        data_type: date
        description: |
          Date on the previous year of when Guest Journeys have been completed.
          Note that this date can be NULL for leap days (29th February)

      - name: has_payment
        data_type: string
        description: Has there been any guest payments on the guest journey.
        data_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.
        data_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.
        data_tests:
          - not_null

      - name: created_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys created, excluding cancelled bookings,
          in a given date and per specified dimension.

      - name: started_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys started, excluding cancelled bookings, 
          in a given date and per specified dimension.

      - name: completed_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys completed, excluding cancelled bookings,
          in a given date and per specified dimension.

      - name: created_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys created in a given date and
           per specified dimension.

      - name: started_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys started in a given date and
           per specified dimension.

      - name: completed_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys completed in a given date and
           per specified dimension.

      - name: total_csat_score_count
        data_type: bigint
        description: |
          Count of daily guest journeys with CSAT (customer satisfaction score)
          in a given date and per specified dimension.

      - name: average_csat_score
        data_type: bigint
        description: |
          Average daily CSAT score in a given date and per specified dimension.

      - name: deposit_fees_in_gbp
        data_type: decimal
        description: |
          Sum of deposit fees paid by guests, without taxes, in GBP 
          in a given date and per specified dimension.

      - name: waiver_payments_in_gbp
        data_type: decimal
        description: |
          Sum of waiver payments paid by guests, without taxes, in GBP
          in a given date and per specified dimension.

      - name: checkin_cover_fees_in_gbp
        data_type: decimal
        description: |
          Sum of checkin cover fees paid by guests, without taxes, in GBP
          in a given date and per specified dimension.

      - name: total_guest_payments_in_gbp
        data_type: decimal
        description: |
          Sum of total payments paid by guests, without taxes, in GBP
          in a given date and per specified dimension.

      - name: py_created_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys created (excluding canceled bookings) 
          on the same date in the previous year, segmented by the specified dimension.

      - name: py_started_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys started (excluding canceled bookings) 
          on the same date in the previous year, segmented by the specified dimension.

      - name: py_completed_guest_journeys_not_cancelled
        data_type: bigint
        description: |
          Count of daily guest journeys completed (excluding canceled bookings) 
          on the same date in the previous year, segmented by the specified dimension.

      - name: py_created_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys created on the same date in the previous year, 
          segmented by the specified dimension.

      - name: py_started_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys started on the same date in the previous year, 
          segmented by the specified dimension.

      - name: py_completed_guest_journeys
        data_type: bigint
        description: |
          Count of daily guest journeys completed on the same date in the previous year, 
          segmented by the specified dimension.

      - name: py_total_csat_score_count
        data_type: bigint
        description: |
          Count of daily guest journeys with CSAT (customer satisfaction score) 
          on the same date in the previous year, segmented by the specified dimension.

      - name: py_average_csat_score
        data_type: bigint
        description: |
          Average daily CSAT score on the same date in the previous year, 
          segmented by the specified dimension.

      - name: py_deposit_fees_in_gbp
        data_type: decimal
        description: |
          Sum of deposit fees paid by guests, excluding taxes, in GBP 
          on the same date in the previous year, segmented by the specified dimension.

      - name: py_waiver_payments_in_gbp
        data_type: decimal
        description: |
          Sum of waiver payments paid by guests, excluding taxes, in GBP 
          on the same date in the previous year, segmented by the specified dimension.

      - name: py_checkin_cover_fees_in_gbp
        data_type: decimal
        description: |
          Sum of check-in cover fees paid by guests, excluding taxes, in GBP 
          on the same date in the previous year, segmented by the specified dimension.

      - name: py_total_guest_payments_in_gbp
        data_type: decimal
        description: |
          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.
        data_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.
        data_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.
        data_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
        data_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.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_booking,
      - service_name
      - service_business_type

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_booking
            - service_name
            - service_business_type

    columns:
      - name: date
        data_type: date
        description: Date of when Services have been created.
        data_tests:
          - not_null

      - name: id_booking
        data_type: bigint
        description: Unique identifier of the Booking.
        data_tests:
          - not_null

      - name: service_name
        data_type: string
        description: Name of the created service.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"

      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, Protection 
          or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"
                - "UNKNOWN"
                - "UNSET"

      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_services
        data_type: bigint
        description: |
          Count of daily services created in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_new_dash_created_services
    description: |
      This model computes the Monthly Created Services at the 
      deepest granularity.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - service_name,
      - id_deal,
      - active_accommodations_per_deal_segmentation,
      - service_business_type.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - service_name
            - id_deal
            - active_accommodations_per_deal_segmentation
            - service_business_type

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: service_name
        data_type: string
        description: Name of the created service.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, 
          Protection or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"
                - "UNKNOWN"
                - "UNSET"

      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"

      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_services
        data_type: bigint
        description: |
          Count of services created in a given month and per specified dimension.

      - name: booking_with_created_services_count
        data_type: bigint
        description: |
          Count of unique bookings in a given month and per specified dimension. 
          This is an approximation to booking count since different services can 
          apply to the same booking and these do not need to be created in the same
          time period. Therefore, it's not an additive metric.

  - name: int_kpis__metric_weekly_new_dash_created_services
    description: |
      This model computes the Weekly Created Services at the 
      deepest granularity.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      Be aware that any dimension that can change over the weekly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - service_name,
      - id_deal,
      - active_accommodations_per_deal_segmentation,
      - service_business_type.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - service_name
            - id_deal
            - active_accommodations_per_deal_segmentation
            - service_business_type

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: service_name
        data_type: string
        description: Name of the created service.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, 
          Protection or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"
                - "UNKNOWN"
                - "UNSET"

      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"

      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: created_services
        data_type: bigint
        description: |
          Count of services created in a given month and per specified dimension.

      - name: booking_with_created_services_count
        data_type: bigint
        description: |
          Count of unique bookings in a given month and per specified dimension. 
          This is an approximation to booking count since different services can 
          apply to the same booking and these do not need to be created in the same
          time period. Therefore, it's not an additive metric.

  - name: int_kpis__agg_weekly_new_dash_created_services
    description: |
      This model computes the dimension aggregation for Weekly Created Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is end_date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_services
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_services
        data_type: bigint
        description: The weekly created services for a given date range, dimension and value.

      - name: booking_with_created_services_count
        data_type: bigint
        description: |
          The weekly bookings with created services for a given date range, dimension and value.
          This is an approximation to booking count since different services can 
          apply to the same booking and these do not need to be created in the same
          time period. Therefore, it's not an additive metric.

  - name: int_kpis__agg_monthly_new_dash_created_services
    description: |
      This model computes the dimension aggregation for Monthly Created Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is end_date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_services
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_services
        data_type: bigint
        description: The monthly created services for a given date range, dimension and value.

      - name: booking_with_created_services_count
        data_type: bigint
        description: |
          The monthly bookings with created services for a given date range, dimension and value.
          This is an approximation to booking count since different services can 
          apply to the same booking and these do not need to be created in the same
          time period. Therefore, it's not an additive metric.

  - name: int_kpis__agg_daily_new_dash_created_services
    description: |
      This model computes the dimension aggregation for Daily Created Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The daily date acting as time range for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_services
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_services
        data_type: bigint
        description: The daily created services for a given date, dimension and value.

      - name: booking_with_created_services_count
        data_type: bigint
        description: |
          The daily bookings with created services for a given date, dimension and value.
          This is an approximation to booking count since different services can 
          apply to the same booking and these do not need to be created in the same
          time period. Therefore, it's not an additive metric.

  - name: int_kpis__product_new_dash_agg_metrics
    description: |
      This model serves as the skeleton for New Dash metrics and dimensions.
      This model computes the time granularity aggregation per previously computed 
      dimension aggregation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - time_granularity
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The end date of the time range specified in the time_granularity 
          for the dimension, dimension_value and metrics in this record.
        data_tests:
          - not_null

      - name: time_granularity
        data_type: string
        description: The time dimension.
        data_tests:
          - accepted_values:
              values:
                - daily
                - weekly
                - monthly

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: deal_with_offered_service_count
        data_type: bigint
        description: |
          The count of deals with services offered by a given date, dimension and value.

      - name: accommodation_with_offered_service_count
        data_type: bigint
        description: |
          The count of accommodations with services offered by a given date, dimension and value.

      - name: created_services
        data_type: bigint
        description: |
          The created services for a given time granularity, date or dates range, 
          dimension and value.

      - name: created_bookings
        data_type: bigint
        description: |
          The amount of created bookings for a given time granularity, date or dates range, 
          dimension and value.

      - name: total_chargeable_services
        data_type: integer
        description: |
          The total chargeable services for a given time granularity, date or 
          dates range, dimension and value.

      - name: total_chargeable_amount_in_gbp
        data_type: decimal
        description: |
          The total daily chargeable amount for a given time granularity, date or 
          dates range, dimension and value, in GBP.

      - name: unique_chargeable_bookings
        data_type: integer
        description: |
          The unique daily chargeable bookings for a given time 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: unique_chargeable_listings
        data_type: integer
        description: |
          The unique daily chargeable accommodations, or listings, for a given time 
          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: int_kpis__metric_daily_new_dash_chargeable_services
    description: |
      This model computes the Daily Chargeable Services at the deepest granularity.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services chargeable after the user has moved to New Dash.
      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_booking,
      - service_name
      - service_business_type

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_booking
            - service_name
            - service_business_type

    columns:
      - name: date
        data_type: date
        description: Date of when Services are supposed to be charged.
        data_tests:
          - not_null

      - name: id_booking
        data_type: bigint
        description: Unique identifier of the Booking.
        data_tests:
          - not_null

      - name: service_name
        data_type: string
        description: Name of the chargeable service.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: id_accommodation
        data_type: bigint
        description: Unique identifier of an accommodation, or listing.
        data_tests:
          - not_null

      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"

      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, 
          Protection or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"
                - "UNKNOWN"
                - "UNSET"

      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: chargeable_services
        data_type: integer
        description: |
          Count of daily chargeable services in a given date and per specified 
          dimension.

      - name: service_total_price_in_gbp
        data_type: decimal
        description: |
          Sum of the total prices of the chargeable services in a given date and 
          per specified dimension, in GBP.

  - name: int_kpis__metric_monthly_new_dash_chargeable_services
    description: |
      This model computes the Monthly Chargeable Services at the 
      deepest granularity.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services chargeable after the user has moved to New Dash.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - service_name,
      - id_booking,
      - active_accommodations_per_deal_segmentation.
      - service_business_type

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_booking
            - service_name
            - active_accommodations_per_deal_segmentation
            - service_business_type

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_booking
        data_type: bigint
        description: Unique identifier of the Booking.
        data_tests:
          - not_null

      - name: service_name
        data_type: string
        description: Name of the chargeable service.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: id_accommodation
        data_type: bigint
        description: Unique identifier of an accommodation, or listing.
        data_tests:
          - not_null

      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"

      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, 
          Protection or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"
                - "UNKNOWN"
                - "UNSET"

      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: chargeable_services
        data_type: integer
        description: |
          Count of monthly chargeable services in a given date and per specified 
          dimension.

      - name: service_total_price_in_gbp
        data_type: decimal
        description: |
          Sum of the total prices of the chargeable services in a given time range 
          and per specified dimension, in GBP.

  - name: int_kpis__metric_weekly_new_dash_chargeable_services
    description: |
      This model computes the Weekly Chargeable Services at the 
      deepest granularity.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services chargeable after the user has moved to New Dash.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - service_name,
      - id_booking,
      - active_accommodations_per_deal_segmentation,
      - service_business_type

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_booking
            - service_name
            - active_accommodations_per_deal_segmentation
            - service_business_type

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_booking
        data_type: bigint
        description: Unique identifier of the Booking.
        data_tests:
          - not_null

      - name: service_name
        data_type: string
        description: Name of the chargeable service.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: id_accommodation
        data_type: bigint
        description: Unique identifier of an accommodation, or listing.
        data_tests:
          - not_null

      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"

      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, 
          Protection or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"
                - "UNKNOWN"
                - "UNSET"

      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: chargeable_services
        data_type: integer
        description: |
          Count of weekly chargeable services in a given date and per specified 
          dimension.

      - name: service_total_price_in_gbp
        data_type: decimal
        description: |
          Sum of the total prices of the chargeable services in a given time range 
          and per specified dimension, in GBP.

  - name: int_kpis__agg_weekly_new_dash_chargeable_services
    description: |
      This model computes the dimension aggregation for Weekly Chargeable Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services chargeable after the user has moved to New Dash.
      The primary key of this model is end_date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - total_chargeable_services
                - total_chargeable_amount_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: total_chargeable_services
        data_type: integer
        description: |
          The total weekly chargeable services in a given time range and per specified 
          dimension.

      - name: total_chargeable_amount_in_gbp
        data_type: decimal
        description: |
          The total weekly chargeable amount in a given time range and per specified 
          dimension, in GBP.

      - name: unique_chargeable_bookings
        data_type: integer
        description: |
          The unique weekly chargeable bookings in a given time range and per specified 
          dimension. This metric is not additive, and its value can vary depending 
          on the time period considered.

      - name: unique_chargeable_listings
        data_type: integer
        description: |
          The unique weekly chargeable accommodations, or listings, in a given time range 
          and per specified dimension. This metric is not additive, and its value 
          can vary depending on the time period considered.

  - name: int_kpis__agg_monthly_new_dash_chargeable_services
    description: |
      This model computes the dimension aggregation for Monthly Chargeable Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services chargeable after the user has moved to New Dash.
      The primary key of this model is end_date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - total_chargeable_services
                - total_chargeable_amount_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: total_chargeable_services
        data_type: integer
        description: |
          The total monthly chargeable services in a given time range and per specified 
          dimension.

      - name: total_chargeable_amount_in_gbp
        data_type: decimal
        description: |
          The total monthly chargeable amount in a given time range and per specified 
          dimension, in GBP.

      - name: unique_chargeable_bookings
        data_type: integer
        description: |
          The unique monthly chargeable bookings in a given time range and per specified 
          dimension. This metric is not additive, and its value can vary depending 
          on the time period considered.

      - name: unique_chargeable_listings
        data_type: integer
        description: |
          The unique monthly chargeable accommodations, or listings, in a given time range 
          and per specified dimension. This metric is not additive, and its value 
          can vary depending on the time period considered.

  - name: int_kpis__agg_daily_new_dash_chargeable_services
    description: |
      This model computes the dimension aggregation for Daily Chargeable Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services chargeable after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The daily date acting as time range for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - total_chargeable_services
                - total_chargeable_amount_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: total_chargeable_services
        data_type: integer
        description: |
          The total daily chargeable services in a given time range and per specified 
          dimension.

      - name: total_chargeable_amount_in_gbp
        data_type: decimal
        description: |
          The total daily chargeable amount in a given time range and per specified 
          dimension, in GBP.

      - name: unique_chargeable_bookings
        data_type: integer
        description: |
          The unique daily chargeable bookings in a given time range and per specified 
          dimension. This metric is not additive, and its value can vary depending 
          on the time period considered.

      - name: unique_chargeable_listings
        data_type: integer
        description: |
          The unique daily chargeable accommodations, or listings, in a given time range 
          and per specified dimension. This metric is not additive, and its value 
          can vary depending on the time period considered.

  - name: int_kpis__metric_daily_new_dash_deals_offered_services
    description: |
      This model computes the Daily Offered Services by Deals at the deepest granularity.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date,
      - id_deal,
      - id_user_product_bundle,
      - service_name,
      - service_business_type

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - id_user_product_bundle
            - service_name
            - service_business_type

    columns:
      - name: date
        data_type: date
        description: Date of when user has a bundle with service active.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: id_user_product_bundle
        data_type: bigint
        description: Unique identifier of the User Product Bundle.
        data_tests:
          - not_null

      - name: service_name
        data_type: string
        description: Name of the created service.
        data_tests:
          - not_null

      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, Protection 
          or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"

      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"

      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

  - name: int_kpis__metric_daily_new_dash_accommodation_offered_services
    description: |
      This model computes the Daily Offered Services by Listings at the deepest granularity.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The unique key corresponds to the deepest granularity of the model,
      in this case:
      - date,
      - id_accommodation,
      - id_user_product_bundle,
      - service_name,
      - service_business_type
    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_accommodation
            - id_user_product_bundle
            - service_name
            - service_business_type
    columns:
      - name: date
        data_type: date
        description: Date of when user has a bundle with service active.
        data_tests:
          - not_null
      - name: id_accommodation
        data_type: bigint
        description: Unique identifier of an accommodation, or listing.
        data_tests:
          - not_null
      - name: id_user_product_bundle
        data_type: bigint
        description: Unique identifier of the User Product Bundle.
        data_tests:
          - not_null
      - name: service_name
        data_type: string
        description: Name of the created service.
        data_tests:
          - not_null
      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, Protection 
          or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"
      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null
      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"
      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null
      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"
      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

  - name: int_kpis__agg_daily_new_dash_deals_offered_services
    description: |
      This model computes the dimension aggregation for Daily Deals Offered Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The daily date acting as time range for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - deal_with_offered_service_count
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: deal_with_offered_service_count
        data_type: bigint
        description: |
          The daily count of deals with services offered for a given date, dimension and value.

  - name: int_kpis__agg_weekly_new_dash_deals_offered_services
    description: |
      This model computes the dimension aggregation for Number of Deals with
      Offered Services by the end of each week.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The end date of the week.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - deal_with_offered_service_count
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: deal_with_offered_service_count
        data_type: bigint
        description: |
          The count of deals with services offered by the end of a given week, dimension and value.

  - name: int_kpis__agg_monthly_new_dash_deals_offered_services
    description: |
      This model computes the dimension aggregation for Number of Deals with
      Offered Services by the end of each month.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The end date of the month.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - deal_with_offered_service_count
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: deal_with_offered_service_count
        data_type: bigint
        description: |
          The count of deals with services offered by the end of a given month, dimension and value.

  - name: int_kpis__agg_daily_new_dash_accommodation_offered_services
    description: |
      This model computes the dimension aggregation for Daily Accommodation Offered Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The daily date acting as time range for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - accommodation_with_offered_service_count
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_new_dash_version
                - by_deal
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: accommodation_with_offered_service_count
        data_type: bigint
        description: |
          The daily count of accommodations with services offered for a given date, dimension and value.

  - name: int_kpis__agg_weekly_new_dash_accommodation_offered_services
    description: |
      This model computes the dimension aggregation for Number of Accommodation with
      Offered Services by the end of each week.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The end date of the week.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - accommodation_with_offered_service_count
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_new_dash_version
                - by_deal
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: accommodation_with_offered_service_count
        data_type: bigint
        description: |
          The count of accommodations with services offered by the end of a given week, dimension and value.

  - name: int_kpis__agg_monthly_new_dash_accommodation_offered_services
    description: |
      This model computes the dimension aggregation for Number of Accommodation with
      Offered Services by the end of each month.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The end date of the month.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - accommodation_with_offered_service_count
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_new_dash_version
                - by_deal
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: accommodation_with_offered_service_count
        data_type: bigint
        description: |
          The count of accommodations with services offered by the end of a given month, dimension and value.

  - name: int_kpis__metric_daily_total_and_retained_revenue
    description: |
      This model computes the Daily Total Revenue and Revenue Retained metrics 
      at the deepest granularity.

      The logic behind this model is to combine the daily revenue and payouts 
      from different sources:
      - Guest Revenue (from int_kpis__metric_daily_guest_payments)
      - Invoiced Revenue and Payouts (from int_kpis__metric_daily_invoiced_revenue)
      - Host Resolutions Payouts (from int_kpis__metric_daily_host_resolutions)
      in order to compute Total Revenue, Retained Revenue and Retained Revenue Post-Resolutions.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - business_scope.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - business_scope

    columns:
      - name: date
        data_type: date
        description: Date of when the document was issued.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: total_revenue_in_gbp
        data_type: decimal
        description: |
          Sum of Guest Revenue, Invoiced Operator Revenue and APIs Revenue, 
          in GBP, without taxes, in a given date and per specified dimension.

      - name: revenue_retained_in_gbp
        data_type: decimal
        description: |
          Total Revenue minus Waiver Payouts due to Host Takes Risk, 
          in GBP, without taxes, in a given date and per specified dimension.

      - name: revenue_retained_post_resolutions_in_gbp
        data_type: decimal
        description: |
          Revenue Retained minus Host Resolutions Payouts due to resolutions, 
          in GBP, without taxes, in a given date and per specified dimension.

  - name: int_kpis__metric_monthly_total_and_retained_revenue
    description: |
      This model computes the Monthly Total Revenue, Retained 
      Revenue and Revenue Retained Post-Resolutions at the deepest 
      granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: total_revenue_in_gbp
        data_type: decimal
        description: |
          Sum of Guest Revenue, Invoiced Operator Revenue and APIs Revenue, 
          in GBP, without taxes, in a given month and per specified dimension.

      - name: revenue_retained_in_gbp
        data_type: decimal
        description: |
          Total Revenue minus Waiver Payouts due to Host Takes Risk, 
          in GBP, without taxes, in a given month and per specified dimension.

      - name: revenue_retained_post_resolutions_in_gbp
        data_type: decimal
        description: |
          Revenue Retained minus Host Resolutions Payouts due to resolutions, 
          in GBP, without taxes, in a given month and per specified dimension.

  - name: int_kpis__metric_mtd_total_and_retained_revenue
    description: |
      This model computes the Month-To-Date Total Revenue, Retained 
      Revenue and Revenue Retained Post-Resolutions at the deepest 
      granularity.
      Be aware that any dimension that can change over the monthly period, 
      such as daily segmentations, are included in the primary key of the 
      model.

      The unique key corresponds to: 
      - end_date, 
      - id_deal, 
      - business_scope,
      - active_accommodations_per_deal_segmentation.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - business_scope
            - active_accommodations_per_deal_segmentation

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "Old Dash"
                - "New Dash"
                - "API"
                - "UNSET"

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

      - name: total_revenue_in_gbp
        data_type: decimal
        description: |
          Sum of Guest Revenue, Invoiced Operator Revenue and APIs Revenue, 
          in GBP, without taxes, in a given month to the current date 
          and per specified dimension.

      - name: revenue_retained_in_gbp
        data_type: decimal
        description: |
          Total Revenue minus Waiver Payouts due to Host Takes Risk, 
          in GBP, without taxes, in a given month to the current date 
          and per specified dimension.

      - name: revenue_retained_post_resolutions_in_gbp
        data_type: decimal
        description: |
          Revenue Retained minus Host Resolutions Payouts due to resolutions, 
          in GBP, without taxes, in a given month to the current date 
          and per specified dimension.

  - name: int_kpis__agg_monthly_total_and_retained_revenue
    description: |
      This model computes the dimension aggregation for 
      Monthly Total Revenue, Retained Revenue and 
      Revenue Retained Post-Resolutions.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - total_revenue_in_gbp
                - revenue_retained_in_gbp
                - revenue_retained_post_resolutions_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: total_revenue_in_gbp
        data_type: decimal
        description: |
          The monthly Total Revenue in GBP 
          for a given date, dimension and value.

      - name: revenue_retained_in_gbp
        data_type: decimal
        description: |
          The monthly Revenue Retained in GBP 
          for a given date, dimension and value.

      - name: revenue_retained_post_resolutions_in_gbp
        data_type: decimal
        description: |
          The monthly Revenue Retained Post-Resolutions in GBP 
          for a given date, dimension and value.

  - name: int_kpis__agg_mtd_total_and_retained_revenue
    description: |
      This model computes the dimension aggregation for 
      Month-To-Date Total Revenue, Retained Revenue and 
      Revenue Retained Post-Resolutions.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - total_revenue_in_gbp
                - revenue_retained_in_gbp
                - revenue_retained_post_resolutions_in_gbp
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: total_revenue_in_gbp
        data_type: decimal
        description: |
          The month-to-date Total Revenue in GBP 
          for a given date, dimension and value.

      - name: revenue_retained_in_gbp
        data_type: decimal
        description: |
          The month-to-date Revenue Retained in GBP 
          for a given date, dimension and value.

      - name: revenue_retained_post_resolutions_in_gbp
        data_type: decimal
        description: |
          The month-to-date Revenue Retained Post-Resolutions in GBP 
          for a given date, dimension and value.

  - name: int_kpis__metric_daily_new_dash_created_bookings
    description: |
      This model computes the Daily Created Bookings with Services at the deepest granularity.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_booking,
      - id_user_product_bundle,
      - service_name,
      - service_business_type

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_booking
            - id_user_product_bundle
            - service_name
            - service_business_type

    columns:
      - name: date
        data_type: date
        description: Date of when the Booking was created.
        data_tests:
          - not_null

      - name: id_booking
        data_type: bigint
        description: Unique identifier of the Booking.
        data_tests:
          - not_null

      - name: id_user_product_bundle
        data_type: bigint
        description: Unique identifier of the User Product Bundle.
        data_tests:
          - not_null

      - name: service_name
        data_type: string
        description: Name of the created service.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: is_upgraded_service
        data_type: string
        description: |
          Whether the service is an upgraded version of the 
          default. In other words, if it's not Basic Screening.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "YES"
                - "NO"

      - name: service_business_type
        data_type: string
        description: |
          Identifies the service type (Screening, Deposit Management, Protection 
          or Guest Agreement) according to New Pricing documentation.
          Cannot be null.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "SCREENING"
                - "PROTECTION"
                - "DEPOSIT_MANAGEMENT"
                - "GUEST_AGREEMENT"
                - "UNKNOWN"
                - "UNSET"

      - name: new_dash_version
        data_type: string
        description: |
          The version of the New Dash. It corresponds to the 
          release or migration phase from user point of view.
        data_tests:
          - not_null

      - name: active_accommodations_per_deal_segmentation
        data_type: string
        description: |
          Segment value based on the number of listings booked in 12 months 
          for a given deal and date.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "0"
                - "01-05"
                - "06-20"
                - "21-60"
                - "61+"
                - "UNSET"

      - name: main_billing_country_iso_3_per_deal
        data_type: string
        description: |
          Main billing country of the host aggregated at Deal level.
        data_tests:
          - not_null

  - name: int_kpis__agg_weekly_new_dash_created_bookings
    description: |
      This model computes the dimension aggregation for Weekly Created Bookings with Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is end_date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_bookings
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_bookings
        data_type: bigint
        description: The weekly created bookings for a given date range, dimension and value.

  - name: int_kpis__agg_monthly_new_dash_created_bookings
    description: |
      This model computes the dimension aggregation for Monthly Created Bookings with Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is end_date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_bookings
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_bookings
        data_type: bigint
        description: The monthly created bookings for a given date range, dimension and value.

  - name: int_kpis__agg_daily_new_dash_created_bookings
    description: |
      This model computes the dimension aggregation for Daily Created Bookings with Services.
      It only retrieves services that come from users that are in New Dash, as well 
      as it only considers services created after the user has moved to New Dash.
      The primary key of this model is date, dimension and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The daily date acting as time range for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - created_bookings
              where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country
                - by_deal
                - by_new_dash_version
                - by_has_upgraded_service
                - by_service
                - by_service_business_type

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: created_bookings
        data_type: bigint
        description: The daily created bookings for a given date, dimension and value.

  - name: int_kpis__agg_monthly_churn_contribution
    description: |
      This model calculates monthly churn contributions by dimension, dimension_value, 
      and date. Unlike typical KPI models, it relies exclusively on monthly metrics 
      computed at deal level and does not include data for the current month.

      At its core, the model computes each deal's 12-month rolling contribution to global 
      metrics. Afterwards, it aggregates these contributions for deals classified as 
      '05-Churning' within the month. The output includes three churn-related contribution 
      metrics, expressed as ratios over global totals:
      - total_revenue_churn_average_contribution
      - created_bookings_churn_average_contribution 
      - listings_booked_in_month_churn_average_contribution 
      Besides these 3 metrics, the actual total revenue churned in the month and the global 
      total revenue windows are also included in the output. This is later used for YTD/MTD 
      dedicated models, which only require it for Total Revenue.

      These are calculated using an average contribution approach over the prior 12 months.
      If a deal has not been active for the full 12-month period, the average is still 
      computed based on the number of months the deal has been active within that window.

      Note: When analysing dimensions other than 'global', the metrics represent the additive 
      share of churn relative to the global total. For example, if the total churn rate in a 
      month is 10%, it may be broken down as 9% from the USA and 1% from GBR — still totaling 10%.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: The date for the month-to-date metrics.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: total_revenue_churn_preceding_12_months
        data_type: numeric
        description: |
          Total Revenue attributed to have churned considering the 
          revenue generated by the deals in the 12 months period.

      - name: total_revenue_global_preceding_12_months
        data_type: numeric
        description: |
          Total Revenue generated by all deals in the 12 months period.

      - name: total_revenue_churn_average_contribution
        data_type: numeric
        description: Total Revenue churn rate (average approach).

      - name: created_bookings_churn_average_contribution
        data_type: numeric
        description: Created Bookings churn rate (average approach).

      - name: listings_booked_in_month_churn_average_contribution
        data_type: numeric
        description: Listings Booked in Month churn rate (average approach).

  - name: int_kpis__agg_monthly_onboarding_mrr
    description: |
      This model contains the monthly aggregated metrics for onboarding MRR. 

      These metrics refer to the expectation of how much revenue is expected to 
      be generated from new deals, in average, in a monthly basis. This is a 
      projected value. Since Revenue is not a timely figure, the onboarding MRR 
      is shifted by one month. Keep in mind that the number of new deals are 
      the actual new deals onboarded in the month.

      The metrics computed for this model are as follows:
      - onboarding_mrr_per_new_deal_in_gbp: How much revenue in a month is expected 
        to be generated by a new deal?
      - total_onboarding_mrr_in_gbp: How much revenue in a month is expected to be 
        generated by ALL new deals onboarded on that same month?

      Additionally, it also contains "new_deals_count" for information purposes.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: The date for the monthly metrics, corresponding to the EOM.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - accepted_values:
              values:
                - global
                - by_number_of_listings
                - by_billing_country

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: new_deals_count
        data_type: numeric
        description: Number of new deals in the month, for information purposes.

      - name: onboarding_mrr_per_new_deal_in_gbp
        data_type: numeric
        description: |
          Expected onboarding MRR per new deal in GBP.
          This is computed by: 
          - Gathering all live deals that have a hubspot listing segmentation available. 
          - Retrieving the total revenue of these deals in a given month.
          - Dividing the total revenue by the number of live deals.
          This is assumed to be the expected onboarding MRR per each new deal.
        data_tests:
          - not_null

      - name: total_onboarding_mrr_in_gbp
        data_type: numeric
        description: |
          Total expected Onboarding MRR in GBP per date, dimension and dimension value.
          This is computed by:
          - Gathering the expected onboarding MRR per new deal for the dimension 'by_number_of_listings'
          - Gathering the number of new deals for the dimension 'by_number_of_listings'
          - Multiplying the two values, to get the total onboarding MRR for each listing segment
          - Rolling up the total onboarding MRR for each listing segment to get the total onboarding MRR
            for the Global dimension.
          This is not available for 'by_billing_country' dimension, thus null values are expected.

  - name: int_kpis__metric_daily_api_billable_verifications
    description: |
      This model computes the Daily Billable Verifications from APIs at 
      the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - date, 
      - id_deal,
      - service_name.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - id_deal
            - service_name

    columns:
      - name: date
        data_type: date
        description: Date of when Verifications have been billable.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "API"

      - name: service_name
        data_type: string
        description: |
          Name of the API service that has been billable.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "ATHENA"
                - "E-DEPOSIT"
                - "CHECK_IN_HERO"
                - "SCREEN_AND_PROTECT"

      - name: billable_verifications
        data_type: bigint
        description: |
          Count of daily verifications billable in a given date and per specified dimension.

  - name: int_kpis__agg_daily_api_billable_verifications
    description: |
      This model computes the dimension aggregation for 
      Daily Billable Verifications, from APIs.

      The primary key of this model is date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - date
            - dimension
            - dimension_value

    columns:
      - name: date
        data_type: date
        description: |
          The start and end date of the time range considered for 
          the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - billable_verifications
          - accepted_values:
              values:
                - global
                - by_service
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: billable_verifications
        data_type: bigint
        description: The daily billable verifications for a given date, dimension and value.

  - name: int_kpis__metric_monthly_api_billable_verifications
    description: |
      This model computes the Monthly Billable Verifications from APIs at 
      the deepest granularity.

      The unique key corresponds to the deepest granularity of the model,
      in this case: 
      - end_date, 
      - id_deal,
      - service_name.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - id_deal
            - service_name

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: id_deal
        data_type: string
        description: Unique identifier of an account.
        data_tests:
          - not_null

      - name: business_scope
        data_type: string
        description: |
          Business scope identifying the metric source.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "API"

      - name: service_name
        data_type: string
        description: |
          Name of the API service that has been billable.
        data_tests:
          - not_null
          - accepted_values:
              values:
                - "ATHENA"
                - "E-DEPOSIT"
                - "CHECK_IN_HERO"
                - "SCREEN_AND_PROTECT"

      - name: billable_verifications
        data_type: bigint
        description: |
          Count of monthly verifications billable in a given month and per 
          specified dimension.

  - name: int_kpis__agg_monthly_api_billable_verifications
    description: |
      This model computes the dimension aggregation for 
      Monthly Billable Verifications, from APIs.

      The primary key of this model is end_date, dimension 
      and dimension_value.

    data_tests:
      - dbt_utils.unique_combination_of_columns:
          combination_of_columns:
            - end_date
            - dimension
            - dimension_value

    columns:
      - name: start_date
        data_type: date
        description: |
          The start date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: end_date
        data_type: date
        description: |
          The end date of the time range considered for the metrics in this record.
        data_tests:
          - not_null

      - name: dimension
        data_type: string
        description: The dimension or granularity of the metrics.
        data_tests:
          - assert_dimension_completeness:
              metric_column_names:
                - billable_verifications
          - accepted_values:
              values:
                - global
                - by_service
                - by_business_scope
                - by_deal

      - name: dimension_value
        data_type: string
        description: The value or segment available for the selected dimension.
        data_tests:
          - not_null

      - name: billable_verifications
        data_type: bigint
        description: |
          The monthly billable verifications for a given date, dimension and value.