# Description
This PR fixes the New Dash migration issue that happened on September 10th 2024. In this migration, users were directly assigned the claim of KygMvp that does not contain a date value. We were using a default hardcode of the first MVP migration, thus in DWH all users have been considered to be migrated late July instead of splitting the first 22 in late July and the ~200 others in September.
The issue lies in the fact that users have configured a ProductBundle and can have Bookings with ProductBundle BEFORE the migration date, which greatly breaks the logic of a migration monitoring.
Changes:
* New migration phase added based on the claim MvpMigratedUser, that Ben created on Friday 13th
* Adaptation of the code in int_core__user_migration to detect if the claim_value (a text field) has a date or not. If so, use that date as long as it's equal or greater than the deployment date, if not use the deployment date. If the claim does not contain a date, use the deployment date (this is the case for the first true 22 migrated users)
I checked that volumes now look correct with this fix.
# 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: #20773
# Description
removing duplicates from guesty and removing tests for edeposit_users and edeposit_verification_fees until further notice
# 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.
removing duplicates from guesty and removing tests for edeposit_users
Related work items: #20125
# Description
Changes (only in intermediate):
* Applies sqlfmt in KPIs source models (for some of them it was already applied). Specifically, the 3 Core models ONLY contains formatting changes
* Adds `main_deal_name` and `main_billing_country_iso_3_per_deal` in `int_monthly_aggregated_metrics_history_by_deal`
* Adds the 2 new fields in the schema entry of `int_monthly_aggregated_metrics_history_by_deal`, including the dbt test not null in the deal name.
# 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: #18911, #19083
# Description
Changes:
* Adding `main_deal_name` and `main_billing_country_iso_3_per_deal` in `int_dates_by_deal` model.
* Documents the 2 new fields. Also, ensures `main_deal_name` is not null
* Removes `id_deal not null` condition since it's enforced on the inner join with `int_core__deal`
# 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: #18911, #19083
# Description
Created a mapping for some users that have a different id in Cosmos so we can join them using data that Ray shared with me, with this we can get all currency information for each user
# 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: #20125
# Description
This PR is a pure refactor (as in, doesn't change the output of the model at all).
The only purpose of the changes in this PR is to improve the performance on the model. The strategy to achieve this has been to inline the basic CTEs of the model (inline=replace references to the CTE with direct `ref` inside the model).
This works because it breaks an optimization fence.
# 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: #20835
# Description
Adds a new dbt test that will fail if the maximum date of a given column is different from yesterday. It uses `current_date`.
Additionally, I changed the test `kpis_global_metrics_outlier_detection` on the name of the parameter `detector_strength` to `detector_tolerance`, as a higher value of the parameter indicates that will be less likely to raise an alert.
Verified in local that tests passes if the execution is normal. Verified in local that the tests fails if manually deleting the latest date in the table.
# Checklist - Does not apply
- [ ] The edited models and dependants run properly with production data.
- [ ] The edited models are sufficiently documented.
- [ ] The edited models contain PK tests, and I've ran and passed them.
- [ ] 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.
Related work items: #20824
# Description
I added verification status to be able to show the amount of bookings that have been approved vs not approved (rejected, flagged, or missing info)
# 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: #20125
# Description
guesty_verifications 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.
- [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: #20125
# Description
Before deploying KPIs by Billing Country, we spotted some issues that were basically increases on the volumes of any metric on the by billing country dimension that was based on Deal. This means, `int_core__mtd_deal_metrics` and `int_xero__mtd_invoicing_metrics`.
This PR changes the following:
* Now the 2 abovementioned models depend on the `int_core__deal` model, instead of `int_core__user_host` (thus removing duplicated stuff)
* Now all models use the main billing country at deal level, instead of doing it so at host level. The reason is that some small amount of hosts that share the same deal can have a different billing country. To avoid weird stuff, everything points to this simplification - that in general, it's not a massive change in the output.
* In order to do so easily, the 3 main billing country per deal fields have been propagated to `int_core__user_host`
To exemplify the solution, find here a snapshot of the differences in behavior:
```
select
dimension,
sum(deals_booked_in_month) as deals_booked_1,
sum(deals_booked_in_6_months) as deals_booked_6,
sum(deals_booked_in_12_months) as deals_booked_12,
sum(total_revenue_in_gbp) as total_revenue,
sum(xero_operator_net_fees_in_gbp) as operator_revenue,
sum(xero_booking_net_fees_in_gbp) as booking_fees,
sum(xero_listing_net_fees_in_gbp) as listing_fees,
sum(xero_verification_net_fees_in_gbp) as verification_fees,
sum(total_guest_revenue_in_gbp) as guest_revenue,
sum(xero_waiver_paid_back_to_host_in_gbp) as waiver_paid_back_to_hosts,
sum(waiver_net_fees_in_gbp) as waiver_net_fees
from intermediate.int_mtd_vs_previous_year_metrics
where date in ('2024-01-31')
group by 1
order by 1
```
Production:
vs.
Local:
Keep in mind that still Global dimension can be greater than any other dimension aggregated since not all users have a deal. Mismatches between the other 2 dimensions might be linked to the dump.
Commits are meaningful and help navigate in the changes.
# 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: #20823
