dbtective 0.1.9

dbtective is a Rust-powered 'detective' for `dbt metadata` best practices.

🕵️ dbtective

dbtective is a Rust-powered 'detective' for dbt metadata best practices. As your dbt project grows, keeping metadata consistent and high-quality can become a real challenge.

Explore the full documentation.

[!WARNING] dbtective is currently in very early stages. Issues and commits are welcome, but don't rely on us yet!

dbtective makes it easy to spot and fix common issues, examples:

• Missing descriptions: Does every model and seed have a description?
• Column types: Are all columns explicitly typed?
• Ownership: Do all sources have an owner?
• Naming conventions: Are all marts following your team's naming standards?

We detect and enforce these rules in your cli, prek/pre-commit and CI/CD pipeline, so fast you will barely notice🕵️.

Installation

Pip (pypi)

pip install dbtective

uv

Install as a dev dependency:

uv add dbtective --dev

Shell installer (macOS/Linux)

curl --proto '=https' --tlsv1.2 -LsSf https://github.com/feliblo/dbtective/releases/latest/download/dbtective-installer.sh | sh

PowerShell installer (Windows)

irm https://github.com/feliblo/dbtective/releases/latest/download/dbtective-installer.ps1 | iex

Homebrew

brew install feliblo/tap/dbtective

Binary download

Pre-built binaries for Linux, macOS, and Windows are available on the releases page.

Quickstart

All possible checks can be found in the checks documentation. Information about configuring dbtective is shown at the config documentation

Example

1. Create a dbtective.yml config file in the root of your dbt project. For example:

manifest_tests:
  - name: "models_must_have_description"
    type: "has_description"
    severity: "error"
    applies_to: ["models", "sources"]
    description: " models and sources must have a description."

  - name: "naming_convention"
    type: "name_convention"
    description: "Everything must follow the naming convention."
    pattern: "snake_case"

 - name: "all_marts_must_be_tagged"
    type: "has_tags"
    severity: "warning"
    applies_to: ["models"]
    tags:
      - "mart"
    description: "All marts must be tagged with 'mart'"

2. Run dbtective in the root of your current directory or specify an entry point if your dbt_project is not located in the root/current drectory.

dbtective run
dbtective run --entry-point "my_dbt_project"

Contributing

We welcome contributions! Whether you're fixing bugs, adding features, or improving documentation, your help makes dbtective better for everyone.

Quick start: Install just command line runner & take a look at the commands in the justfile.

To build and run on the example project (./dbt_project using config ./dbt_project/dbtective.yml) use:

just run
just run-verbose

For detailed contributing guidelines, development setup, and coding standards, please see CONTRIBUTING.md.