dbt_project.yml

# 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: 'dbt_ml_example'
version: '1.0.0'
config-version: 2

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

# These configurations specify where dbt should look for different types of files.
# The `source-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!
source-paths: ["models"]
analysis-paths: ["analysis"]
test-paths: ["tests"]
data-paths: ["data"]
macro-paths: ["macros"]
snapshot-paths: ["snapshots"]

target-path: "target"  # directory which will store compiled SQL files
clean-targets:         # directories to be removed by `dbt clean`
    - "target"
    - "dbt_modules"


on-run-start:
    # Create the ml_model_audit DATASET at the start of the dbt run, if it doesn't exist
    - '{% do adapter.create_schema(api.Relation.create(target.project, "ml_model_audit")) %}'
    # Create the ml_model_audit TABLE at the start of the dbt run, if it doesn't exist
    - "{{ dbt_ml.create_model_audit_table() }}"

models:
    dbt_ml_example:
        # Applies to all files under models/example/ unless overriden in sql file
        materialized: view
            

vars:
    "dbt_ml:audit_schema": "ml_model_audit"
    "dbt_ml:audit_table": "ml_models"