For knowledge document of this organization, you can follow this like Document.

flowchart LR
   1([ddeutil]) --> 2([ddeutil-io]) --> 3([🏃 ddeutil-workflow]) --> 4([📡 ddeutil-observe])
   1 --> 4
   2 --> 5([ddeutil-vendors])
   0([fmtutil]) -.-> 2
   0 -.-> 5

This organization has the propose to make lightweight data orchestration framework for small to middle project scale (1-1000 workflows).

Firstly, I will implement base projects, Core (utility functions) and IO (Input/Output transport utility objects) for the first dependency packages because it has a lot of base code to make main package and I do not want to develop this code on the main package, for example, it do not good if I want fix bug on the merge key function that no relate with the workflow package

🎯 The main package of this organize orchestration framework has 2 layers and I split it with 2 projects for optional installation requirement (you can only use just one of these layers without raise error).

• 🏃 Workflow - Lightweight workflow orchestration in Python with less dependencies.
• 📡 Observe - Lightweight observation application with FastAPI for the workflow package.

This organize has some mini-projects that develop for specific usecase:

• ddeapp-flask - Full-Stack Data Orchestration from Yaml template with Flask & HTMX
• ddeapp-fastapi - Routing Application Service deploy to On-Premise server with FastAPI