dbt-init 0.2.7

Create a dbt project the way Fishtown Analytics would

dbt-init

A tool to create dbt projects for consulting. dbt-init will create a project as a subdirectory within the target directory you provide it, and populate as much of the dbt project as possible

Installation & usage

1. Install using pip install dbt-init
2. To create a new client project run a command like following:

$ dbt-init --client jaffle_shop --warehouse snowflake --target_dir ~/clients/

You can also check the available arguments with dbt-init --help

Once you've created your project

1. Update sample.profile.yml to contain the correct profile details for your client, excluding the actual credentials – e.g. username and password:

• You can often pre-fill the host and database name.
• You may want to use an alternate connection method (e.g. OAuth) and update the sample file to reflect this.

1. Ensure that the users/groups/roles within a warehouse match the grant statements in the post-run hooks (defined in dbt_project.yml).

Building out the starter project

If you're interested in helping build out the starter project, here is a list of variables you can use – a lot of them have defaults based on the client name.

{{ project.name }}: The name of the project, as defined in `dbt_project.yml`, e.g. jaffle_shop.
{{ project.warehouse }}: The warehouse that a client is using.
{{ project.client_name }}: The name of the client, e.g. jaffle_shop.
{{ project.dir_name }}: The name of the directory this project is in, e.g. jaffle-shop-dbt.
{{ project.profile_name }}: The name of the profile used by this project, e.g. jaffle_shop.

To-do:

• <input type="checkbox" disabled="" /> Configure a new profile as part of init process