hotdag 0.7.2

Creator: bradpython12

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Description:

hotdag 0.7.2

HotDAG



HotDAG is a lightweight tool that allows for testing for dbt node selectors against dbt project manifests
on a local filesystem, stored on dbt Cloud, or located remotely. Once evaluated, this selection of nodes
can be returned as a list of unique_ids, a JSON list of unique_ids, or as an SVG of the selection.
Table of Contents

But Why Though?
Installation
License

But Why Though?
Sometimes, it can be valuable while developing locally to have a means of quickly testing a selection string against
the production version of a dbt project without fiddling with the generated docs site or compiling the current
production branch. Instead, HotDAG lets you quickly test and visualize your selection using your project's manifest,
whether its on your local file system, stored remotely and accessible via URL, or hosted on dbt Cloud.
Installation
pip install hotdag

Getting Started
There are a few primary ways to use HotDAG. The most common way is to load a local manifest file and list the
selection. This is roughly equivalent to using dbt ls
hotdag --input file --file targets/manifest.json --select "resource_type:source+"

source.example.example.users
model.example.stg_users
model.example.users
test.example.not_null_stg_users_id
test.example.unique_stg_users_id

HotDAG really shines, however, if you want to see a diagram of the selection.
hotdag --input file --output svg \
--file targets/manifest.json \
--select "resource_type:source+"


Also of use is the ability to directly reference the latest manifest from your project's dbt Cloud
job. For example:
hotdag --input dbt_cloud --output svg \
--account-id 1234 --job-id 9876 \
--select "resource_type:source+"

Roadmap

Styling the SVG output to better distinguish between node types.
Improved error handling for remote resource failures.
Add rational defaults (e.g. default input to file and --file to the targets directory)
Verify support for Selectors (as defined in yaml)

License
hotdag is distributed under the terms of the MIT license.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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