Release 0.3.0

Release v0.3.0

New Features

dbt Integration

Comprehensive dbt integration for scalable profiling and drift detection within dbt workflows.

Component 1: dbt Refs/Selectors in Baselinr Configs

• Use dbt model references (dbt_ref) directly in baselinr table patterns
• Support for dbt selectors (e.g., tag:critical, config.materialized:table)
• Leverage dbt tags for scalable table selection
• Automatic resolution of dbt models to database tables via manifest parsing

Database Configuration Support

• Specify database at the table pattern level
• Override the default database from source.database per pattern
• Enables multi-database profiling in a single configuration

Example:
profiling:
tables:
- database: analytics_db
schema: public
pattern: "users_*"
- database: staging_db
schema: public
table: events## Improvements

• Enhanced dbt manifest parsing to check both node.tags and node.config.tags for tag resolution
• Improved dbt selector resolution with support for multiple tag locations
• Added local testing scripts for dbt integration (bash and PowerShell)
• Added test script for debugging with existing manifest.json files

Bug Fixes

• Fixed dbt integration CI workflow to correctly install baselinr package
• Fixed GitHub Actions workflow syntax (always() function)
• Fixed dbt tag resolution to check both top-level tags and config tags
• Added proper permissions block to dbt-integration workflow

Documentation

• Added comprehensive dbt Integration Guide
• Added dbt package README with usage examples
• Added local testing documentation for dbt integration
• Updated development guide with dbt integration information

Related

• Full changelog: v0.2.0...v0.3.0
• dbt Integration PR: #35
• Database Configuration PR: #34

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Upgrade:
pip install --upgrade "baselinr[dbt]>=0.3.0"