Merged PR 2575: Accommodation metrics per customer segmentation
# Description Modifies `int_core__mtd_accommodation_metrics` to include the customer segmentation based on listings. `schema.yaml` is also affected including new fields and tests. Hardcoded `int_core__mtd_vs_previous_year_metrics` to avoid propagating this upwards and messing up with the data display. Overall, follows a similar strategy as we did for Booking, Guest Journey and Deal metrics. For reference, here's [the previous PR on Deal](https://guardhog.visualstudio.com/Data/_git/data-dwh-dbt-project/pullrequest/2534). I noticed that I mixed the schema tests of Deals and Accommodations, this PR should fix both. # Checklist - [X] The edited models and dependants run properly with production data. - [X] The edited models are sufficiently documented. - [X] The edited models contain PK tests, and I've ran and passed them. - [X] I have checked for DRY opportunities with other models and docs. - [X] I've picked the right materialization for the affected models. # Other - [ ] Check if a full-refresh is required after this PR is merged. Related work items: #19325
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3 changed files with 126 additions and 68 deletions
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@ -307,10 +307,24 @@ models:
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columns:
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- name: date
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data_type: date
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description: The date for the month-to-date accommodation-related metrics.
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description: The date for the month-to-date deal-related metrics.
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tests:
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- not_null
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- name: dimension
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data_type: string
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description: The dimension or granularity of the metrics.
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tests:
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- accepted_values:
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values:
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- global
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- by_number_of_listings
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- name: dimension_value
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data_type: string
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description: The value or segment available for the selected dimension.
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tests:
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- not_null
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- unique
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- name: int_core__mtd_deal_metrics
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description: |
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@ -318,6 +332,13 @@ models:
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It's used for the business KPIs. Data is aggregated at the last day of the month and in the
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days necessary for the Month-to-Date computation of the current month.
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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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- dimension
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- dimension_value
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columns:
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- name: date
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data_type: date
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