# Name your project! Project names should contain only lowercase characters
# and underscores. A good package name should reflect your organization's
# name or the intended use of these models
name: "dwh_dbt"
version: "1.0.0"
config-version: 2

# This setting configures which "profile" dbt uses for this project.
profile: "dwh_dbt"

# These configurations specify where dbt should look for different types of files.
# The `model-paths` config, for example, states that models in this project can be
# found in the "models/" directory. You probably won't need to change these!
model-paths: ["models"]
analysis-paths: ["analyses"]
test-paths: ["tests"]
seed-paths: ["seeds"]
macro-paths: ["macros"]
snapshot-paths: ["snapshots"]

clean-targets: # directories to be removed by `dbt clean`
  - "target"
  - "dbt_packages"

# Configuring models
# Full documentation: https://docs.getdbt.com/docs/configuring-models

# In this example config, we tell dbt to build all models in the example/
# directory as views. These settings can be overridden in the individual model
# files using the `{{ config(...) }}` macro.
models:
  +unlogged: true
  # ^ This makes all the tables created by dbt be unlogged. This is a Postgres
  # specific setting that we activate for performance. It has deep implications
  # on how Postgres handles tables and is typically considered crazy risky, but
  # it's very fitting for our needs. You can read more here:
  # https://www.crunchydata.com/blog/postgresl-unlogged-tables
  dwh_dbt:
    +post-hook:
      sql: "VACUUM ANALYZE {{ this }}"
      transaction: false
    # ^ This makes dbt run a VACUUM ANALYZE on the models after building each.
    # It's pointless for views, but it doesn't matter because Postgres fails
    # silently withour raising an unhandled exception.
    staging:
      +materialized: table
      +schema: staging
    intermediate:
      +materialized: view
      +schema: intermediate
    reporting:
      +materialized: table
      +schema: reporting

seeds:
  dwh_dbt:
    schema: staging

vars:
  "dbt_date:time_zone": "Europe/London"
  # A general cutoff date for relevancy. Many models assume this to be the point
  # in time after which they should work.
  "start_date": "'2020-01-01'"

  # KPIs Start Date. This is the date from which we start calculating KPIs.
  "kpis_start_date": "'2022-04-01'"

  # New Dash First Invoicing Date. This is the first date considered for New Dash invoicing.
  "new_dash_first_invoicing_date": "'2024-12-31'"

  # A distant future date to use as a default when cutoff values are missing.
  "end_of_time": "'2050-12-31'"

  # Booking state variables
  # States should be strings in capital letters. Models need to force an upper()
  "cancelled_booking_state": "'CANCELLED'"
  "approved_booking_state": "'APPROVED'"
  "flagged_booking_state": "'FLAGGED'"

  # Payment state variables
  # States should be strings in capital letters. Models need to force an upper()
  "paid_payment_state": "'PAID'"

  # Protection service state variables
  # States should be strings in capital letters. Models need to force an upper()
  "default_service": "'BASIC SCREENING'"