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{{
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config(
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materialized="table",
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unique_key=[
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"date",
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"id_accommodation",
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"id_user_product_bundle",
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"service_name",
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"service_business_type",
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],
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)
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}}
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select
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-- Unique Key --
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dd.date,
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apb.id_accommodation,
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bs.id_user_product_bundle,
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bs.service_name,
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bs.service_business_type,
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-- Dimensions --
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coalesce(uh.id_deal, 'UNSET') as id_deal,
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case when bs.is_default_service then 'NO' else 'YES' end as is_upgraded_service,
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coalesce(uh.new_dash_version, 'UNSET') as new_dash_version,
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coalesce(
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uh.main_billing_country_iso_3_per_deal, 'UNSET'
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) as main_billing_country_iso_3_per_deal,
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coalesce(
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icmas.active_accommodations_per_deal_segmentation, 'UNSET'
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) as active_accommodations_per_deal_segmentation
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from {{ ref("int_kpis__dimension_dates") }} as dd
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inner join
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{{ ref("int_core__user_host") }} as uh
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on dd.date >= uh.user_in_new_dash_since_date_utc
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inner join
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{{ ref("int_core__user_product_bundle_contains_services") }} as bs
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on uh.id_user_host = bs.id_user_host
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inner join
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{{ ref("int_core__accommodation_to_product_bundle") }} as apb
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on bs.id_user_product_bundle = apb.id_user_product_bundle
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and date between apb.effective_start_date_utc and apb.effective_end_date_utc
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left join
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{{ ref("int_kpis__dimension_daily_accommodation") }} as icmas
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on uh.id_deal = icmas.id_deal
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and dd.date = icmas.date
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@ -7482,6 +7482,108 @@ models:
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- "61+"
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- "UNSET"
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- name: main_billing_country_iso_3_per_deal
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data_type: string
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description: |
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Main billing country of the host aggregated at Deal level.
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data_tests:
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- not_null
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- name: int_kpis__metric_daily_new_dash_accommodation_offered_services
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description: |
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This model computes the Daily Offered Services by Listings at the deepest granularity.
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It only retrieves services that come from users that are in New Dash, as well
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as it only considers services created after the user has moved to New Dash.
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The unique key corresponds to the deepest granularity of the model,
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in this case:
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- date,
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- id_accommodation,
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- id_user_product_bundle,
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- service_name,
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- service_business_type
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data_tests:
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- dbt_utils.unique_combination_of_columns:
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combination_of_columns:
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- date
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- id_accommodation
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- id_user_product_bundle
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- service_name
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- service_business_type
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columns:
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- name: date
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data_type: date
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description: Date of when user has a bundle with service active.
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data_tests:
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- not_null
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- name: id_accommodation
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data_type: bigint
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description: Unique identifier of an accommodation, or listing.
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data_tests:
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- not_null
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- name: id_user_product_bundle
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data_type: bigint
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description: Unique identifier of the User Product Bundle.
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data_tests:
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- not_null
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- name: service_name
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data_type: string
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description: Name of the created service.
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data_tests:
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- not_null
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- name: service_business_type
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data_type: string
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description: |
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Identifies the service type (Screening, Deposit Management, Protection
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or Guest Agreement) according to New Pricing documentation.
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Cannot be null.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- "SCREENING"
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- "PROTECTION"
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- "DEPOSIT_MANAGEMENT"
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- "GUEST_AGREEMENT"
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- "UNKNOWN"
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- "UNSET"
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- name: id_deal
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data_type: string
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description: Unique identifier of an account.
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data_tests:
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- not_null
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- name: is_upgraded_service
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data_type: string
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description: |
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Whether the service is an upgraded version of the
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default. In other words, if it's not Basic Screening.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- "YES"
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- "NO"
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- name: new_dash_version
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data_type: string
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description: |
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The version of the New Dash. It corresponds to the
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release or migration phase from user point of view.
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data_tests:
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- not_null
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- name: active_accommodations_per_deal_segmentation
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data_type: string
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description: |
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Segment value based on the number of listings booked in 12 months
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for a given deal and date.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- "0"
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- "01-05"
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- "06-20"
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- "21-60"
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- "61+"
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- "UNSET"
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- name: main_billing_country_iso_3_per_deal
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data_type: string
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description: |
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