tap-dbt-artifacts

tap-dbt-artifacts is a Singer tap for dbt artifacts.

Built with the Meltano Tap SDK for Singer Taps.

⚠️ This tap currently supports the following schema versions for the following artifacts and is not compatible with artifacts generated by versions of dbt older than 1.8 ⚠️

Artifact	File Name	Schema	Description
Manifest	manifest.json	v12	Representation of your dbt project's resources
Run Results	run_results.json	v6	Information about a completed invocation of dbt
Catalog	catalog.json	v1	Information from your data warehouse about the tables and views produced
Sources	sources.json	v3	Information about sources with freshness checks

Configuration

Accepted Config Options

A full list of supported settings and capabilities for this tap is available by running:

tap-dbt-artifacts --about

Configure using environment variables

This Singer tap will automatically import any environment variables within the working directory's .env if the --config=ENV is provided, such that config values will be considered if a matching environment variable is set either in the terminal context or in the .env file.

Source Authentication and Authorization

Usage

You can easily run tap-dbt-artifacts by itself or in a pipeline using Meltano.

Executing the Tap Directly

tap-dbt-artifacts --version
tap-dbt-artifacts --help
tap-dbt-artifacts --config CONFIG --discover > ./catalog.json

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

Prerequisites:

• Python >=3.9, <3.13
• uv

uv sync

Create and Run Tests

Create tests within the tests subfolder and then run:

uv run pytest

You can also test the tap-dbt-artifacts CLI interface directly using uv run:

uv run tap-dbt-artifacts --help

Testing with Meltano

Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.

Next, install Meltano (if you haven't already) and any needed plugins:

# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-dbt-artifacts
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-dbt-artifacts --version

# OR run a test ELT pipeline:
meltano run tap-dbt-artifacts target-jsonl

SDK Dev Guide

See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.