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Merged PR 3476: daily model for guest products

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# Description

Replacement PR from the abandondes one for daily metrics for guest KPI model

# 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.
- [ ] I've picked the right materialization for the affected models.

# Other

- [ ] Check if a full-refresh is required after this PR is merged.

daily model for guest products

Related work items: #23371
This commit is contained in:
Joaquin Ossa 2024-11-12 07:50:45 +00:00
commit b2e9a3e0da
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236
models/intermediate/kpis/schema.yml
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@ -5866,3 +5866,239 @@ models:
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.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- date_day
- has_payment
- has_id_check
columns:
- name: date_day
data_type: date
description: "Date of when Guest Journeys have been completed."
tests:
- not_null
- name: has_payment
data_type: string
description: Has there been any guest payments on the guest journey.
tests:
- not_null
- accepted_values:
values:
- W/O Payment
- With Payment
- name: has_id_check
data_type: string
description: Does the verification in the guest journey
includes Government Id Check for the bookings.
tests:
- not_null
- accepted_values:
values:
- W/O Id Check
- With Id Check
- name: 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.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- date_day
- py_date_day
- has_payment
- has_id_check
columns:
- name: date_day
data_type: date
description: "Date of when Guest Journeys have been completed."
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.
tests:
- not_null
- accepted_values:
values:
- W/O Payment
- With Payment
- name: has_id_check
data_type: string
description: Does the verification in the guest journey
includes Government Id Check for the bookings.
tests:
- not_null
- accepted_values:
values:
- W/O Id Check
- With Id Check
- name: 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: 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_count_csat_score
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.