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Merged PR 3377: Adds GJ Created, Started and Completed in new KPIs flow

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# Description

Adds GJ Created, Started and Completed.
Each model has:
* A Daily model
* A Monthly/MTD without dimension aggregate
* A Monthly/MTD with dimension aggregate
* A comparison vs. the current flow of KPIs in the form of a test

It's quite similar as for Created Bookings. The main difference is that 1) reads from Verification Requests table and 2) I don't compute a New Dash dimension. This helps actually validating the logic of the dimension configuration macro, which works good.

I confirm that the 3 tests of comparison vs. current data work well in my local - i.e. identical content for Global, Billing Country for these 3 metrics since 2022.

This does not include:
* Guest Journeys with Payment. I'll do this in a separated PR
* Guest Payments/Revenue. I'll do this in a separated PR

# 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.
- [NA] I have checked for DRY opportunities with other models and docs. **Briefly discussed with Pablo, we'll leave it like this for the time being**
- [X] I've picked the right materialization for the affected models. **Runs quite fast**

# Other

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

Related work items: #23453
This commit is contained in:
Oriol Roqué Paniagua 2024-10-30 11:45:45 +00:00
parent 86719b6a10
commit 8ddb695947
19 changed files with 1446 additions and 3 deletions
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912
models/intermediate/kpis/schema.yml
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@ -360,8 +360,8 @@ models:
- name: created_bookings
data_type: bigint
description: |
Count of accummulated bookings created in a given month up to the
given date and per specified dimension.
Count of accummulated bookings created in a given month
and per specified dimension.
- name: int_kpis__metric_mtd_created_bookings
description: |
@ -497,7 +497,7 @@ models:
- name: created_bookings
data_type: bigint
description: The month-to-date created bookings for a given date, dimension and value.
description: The monthly created bookings for a given date, dimension and value.
- name: int_kpis__aggregated_mtd_created_bookings
description: |
@ -552,3 +552,909 @@ models:
- name: created_bookings
data_type: bigint
description: The month-to-date 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.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- date
- id_deal
columns:
- name: date
data_type: date
description: Date of when Guest Journeys have been created.
tests:
- not_null
- name: id_deal
data_type: string
description: Unique identifier of an account.
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_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,
- active_accommodations_per_deal_segmentation.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- id_deal
- 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: id_deal
data_type: string
description: Unique identifier of an account.
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_guest_journeys
data_type: bigint
description: |
Count of accummulated 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,
- active_accommodations_per_deal_segmentation.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- id_deal
- 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: id_deal
data_type: string
description: Unique identifier of an account.
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_guest_journeys
data_type: bigint
description: |
Count of accummulated guest journeys created in a given month up to the
given date and per specified dimension.
- name: int_kpis__aggregated_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.
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_name: created_guest_journeys
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
tests:
- not_null
- name: created_guest_journeys
data_type: bigint
description: The monthtly created guest journeys for a given date, dimension and value.
- name: int_kpis__aggregated_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.
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_name: created_guest_journeys
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
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.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- date
- id_deal
columns:
- name: date
data_type: date
description: Date of when Guest Journeys have been started.
tests:
- not_null
- name: id_deal
data_type: string
description: Unique identifier of an account.
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: 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,
- active_accommodations_per_deal_segmentation.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- id_deal
- 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: id_deal
data_type: string
description: Unique identifier of an account.
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: started_guest_journeys
data_type: bigint
description: |
Count of accummulated 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,
- active_accommodations_per_deal_segmentation.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- id_deal
- 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: id_deal
data_type: string
description: Unique identifier of an account.
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: started_guest_journeys
data_type: bigint
description: |
Count of accummulated guest journeys started in a given month up to the
given date and per specified dimension.
- name: int_kpis__aggregated_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.
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_name: started_guest_journeys
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
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__aggregated_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.
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_name: started_guest_journeys
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
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.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- date
- id_deal
columns:
- name: date
data_type: date
description: Date of when Guest Journeys have been completed.
tests:
- not_null
- name: id_deal
data_type: string
description: Unique identifier of an account.
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: 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,
- active_accommodations_per_deal_segmentation.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- id_deal
- 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: id_deal
data_type: string
description: Unique identifier of an account.
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: completed_guest_journeys
data_type: bigint
description: |
Count of accummulated 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,
- active_accommodations_per_deal_segmentation.
tests:
- dbt_utils.unique_combination_of_columns:
combination_of_columns:
- end_date
- id_deal
- 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: id_deal
data_type: string
description: Unique identifier of an account.
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: completed_guest_journeys
data_type: bigint
description: |
Count of accummulated guest journeys completed in a given month up to the
given date and per specified dimension.
- name: int_kpis__aggregated_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.
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_name: completed_guest_journeys
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
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__aggregated_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.
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_name: completed_guest_journeys
- accepted_values:
values:
- global
- by_number_of_listings
- by_billing_country
- by_deal
- name: dimension_value
data_type: string
description: The value or segment available for the selected dimension.
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.