checkup-dbt 0.2.2

dbt metrics for checkup

checkup-dbt

dbt metrics plugin for checkup.

Installation

pip install checkup-dbt

Requirements

• Python >= 3.12
• checkup
• dbt-core >= 1.9

Usage

from checkup import CheckHub
from checkup_dbt import (
    DbtManifestProvider,
    DbtModelsMetric,
    DbtColumnsMetric,
    DbtTestsMetric,
)

results = (
    CheckHub()
    .with_metrics([
        DbtModelsMetric,
        DbtColumnsMetric,
        DbtTestsMetric,
    ])
    .with_providers([
        DbtManifestProvider(dbt_project_dir="./my_dbt_project"),
    ])
    .measure()
)

Provider

DbtManifestProvider

Provides dbt manifest data to metrics. Can either parse a dbt project directory or load a pre-generated manifest file.

Available Metrics

Core Metrics

DbtModelsMetric

Total number of dbt models.

DbtColumnsMetric

Total number of columns across all models.

DbtTestsMetric

Total number of tests.

DbtModelsWithDescriptionMetric

Number of models that have descriptions.

DbtModelsWithoutDescriptionMetric

Number of models missing descriptions.

DbtColumnsWithDescriptionMetric

Number of columns that have descriptions.

DbtColumnsWithoutDescriptionMetric

Number of columns missing descriptions.

Test Metrics

DbtUnitTestsMetric

Number of unit tests.

DbtDataTestsMetric

Number of data tests.

DbtColumnTestsMetric

Number of column-level tests.

DbtTestedColumnsMetric

Number of columns that have at least one test.

DbtColumnTestCoverageMetric

Percentage of columns with tests.

Output Model Metrics

DbtOutputModelsMetric

Number of models exposed as outputs.

DbtOutputModelsWithDescriptionMetric

Number of output models with descriptions.

DbtOutputModelsWithoutDescriptionMetric

Number of output models missing descriptions.

DbtOutputModelsWithoutContractsMetric

Number of output models without contracts.

DbtOutputColumnsWithoutDataTypeMetric

Number of output columns without data types.

Quality Metrics

DbtModelsNotAdheringToNamingConventionMetric

Number of models not following naming conventions.

DbtVersionMetric

Current dbt version.

DbtSupportedVersionMetric

Whether dbt version is supported. Configure by subclassing:

from checkup_dbt import DbtSupportedVersionMetric

class MySupportedVersionMetric(DbtSupportedVersionMetric):
    min_version = "1.9"

DbtFlaggedPackagesMetric

Packages flagged for review. Configure by subclassing:

from checkup_dbt import DbtFlaggedPackagesMetric

class MyFlaggedPackagesMetric(DbtFlaggedPackagesMetric):
    flagged_packages = [
        "https://github.com/example/deprecated-package",
    ]

DbtProfileHostMetric

Profile host configuration.

Creating Custom Metrics

Extend DbtMetric to create custom dbt-based metrics:

from checkup_dbt import DbtMetric

class MyCustomDbtMetric(DbtMetric):
    name = "my_custom_metric"
    description = "My custom dbt metric"

    def calculate(self, context, metrics):
        manifest = context["dbt"]["manifest"]
        self.value = len(manifest.nodes)