Treasure data digdag visualization

Treasure data is a leading CDP platform and leverages dig-dag for data pipelines within itself. digdag is similar to airflow where we define tasks inside a dag
and is available as an open source. The CDp is a powerful platform but unfortunately no easy way to visualize the pipelines which makes it hard for onboarding
when there are some complex pipelines already built. So I had the below sequence of steps to solve this problem for myself.

Solution Approach

• Create Visualization
• Make it colorful
• Update the graph everytime there is a code change.
• Make it part of CICD

Installation

pip install -r requirements.txt

Usage example

• Update Line 131 with the project where the graphs need to be updated.
• Execute the python program to generate the graphs.

TODO

• Parametrize the dir_name (Line 131)
• Create github workflow to generate graphs when there are changes.
  • Identify the changes at the folder level
  • Execute the python script tp build graph for each folder with a change
  • Commit the graphs back to the branch

References

• https://github.com/y-abe/digdag-graph