dbt_project.yml

name: 'bigquery_analytics'
version: '0.1.0'

require-dbt-version: [">=1.0.0", "<2.0.0"]

config-version: 2

target-path: "target"
clean-targets: ["target", "dbt_modules", "dbt_packages"]
macro-paths: ["macros"]
log-path: "logs"

# When running dbt-bigquery-analytics in your project, you must add the following configurations:

# models:
#     bigquery_analytics:
#         staging:
#             materialized: ephemeral
#         marts:
#             materialized: table

# vars:
#   dbt_bigquery_analytics:
#       bigquery_analytics_start_date: cast('2023-01-01' as date) # inside the double quotes, add the start date of the project
#   region: "region-us"
#   usd_dollars_real: 5.58 # here you can add the price of the dollar in reais
#   price_per_tib: 6.25 # here you can add the price per terabyte processed
#   price_per_tib_brl: 40.167405531
#   dbt_sources: [
#       'adw'
#       , 'adf'
#       , 'databricks_workflow'
#   ] # you can configure the sources of your procject here
#   ci_dbt_target: 'ci' # add the CI/CD target of your dbt project
#   prod_dbt_target: 'prod' # add the development target of your dbt project
#   dev_dbt_target: 'dev' # add the production target of your dbt project
#   dbt_source_monitoring_dataset: 'raw_monitoring' # if you have one, add a source dataset of your monitoring data
#   dbt_prod_monitoring_dataset: 'public_monitoring' # if you have one, add the destination dataset of your monitoring transformed data