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Merged PR 3616: Compute weekly new dash created services

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# Description

Changes:
* Fixes weekly dates for KPIs. Before, joins were not working (but nothing was really used).
* Computes weekly new dash created services and exposes it to reporting

# Checklist

- [X] The edited models and dependants run properly with production data.
- [X] The edited models are sufficiently documented.
- [X] The edited models contain PK tests, and I've ran and passed them.
- [ ] I have checked for DRY opportunities with other models and docs.
- [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: #20809
This commit is contained in:
Oriol Roqué Paniagua 2024-11-21 11:30:36 +00:00
parent 2d6afbfd42
commit 2e7c85d11b
6 changed files with 254 additions and 3 deletions
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179
models/intermediate/kpis/schema.yml
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@ -5497,6 +5497,184 @@ models:
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_user_host,
- active_accommodations_per_deal_segmentation.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- service_name
- id_user_host
- 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.
tests:
- not_null
- name: end_date
data_type: date
description: |
The end date of the time range considered for the metrics in this record.
tests:
- not_null
- name: service_name
data_type: string
description: Name of the created service.
tests:
- not_null
- name: id_user_host
data_type: string
description: Unique identifier of the user that acts as Host.
tests:
- not_null
- name: id_deal
data_type: string
description: Unique identifier of an account.
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.
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.
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.
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.
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.
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.
tests:
- not_null
- name: end_date
data_type: date
description: |
The end date of the time range considered for the metrics in this record.
tests:
- not_null
- name: dimension
data_type: string
description: The dimension or granularity of the metrics.
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_host
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
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.
@ -5650,6 +5828,7 @@ models:
- accepted_values:
values:
- daily
- weekly
- monthly
- name: dimension