DAG Health Checker API

This is a FastAPI that performs asynchronous health checks over a Directed Acyclic Graph (DAG) of system components.

Problem:

Develop a Python web API that checks the health of a system that comprise of a multi-level correlated components in a Directed Acyclic Graph (DAG) form. See a sample graph below.

Solution:

1. Create a Python API that takes a JSON file with system relationships that translates into a DAG
2. Traverse through the graph in breadth-first search technique
3. For each node, check for health of the component in an asynchronous way and store the result
4. Display the health of the overall system in a table format 5) Optional - Display the graph in a picture format and highlight the failed components in red
5. Check-in the code into GitHub and share the link when done

Structure:

Schwab/
│
├── main.py                  # Main FastAPI app
│
└── utils/
    ├── plot_util.py        # Plotly DAG rendering
    └── html_header.py      # HTML and health table generation - Visualization

Requirements:

Available in requirements.txt

pip install -r requirements.txt

How to Run?

1. Start the FastAPI server

uvicorn app:app --reload

2. View the instant demo at

http://127.0.0.1:8000/demo

2. For Swagger UI

http://127.0.0.1:8000/docs

3. On the UI, endpoint can be tested under

POST /check/html

4. View the saved report locally generated as file

dag_report.html

open dag_report.html        # on macOS

Example run:

DAG Example HTML Report Output

Contact

ushakalyani.a@gmail.com