README.md

metadata

title: YFDash
emoji: 🏃
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.29.0
app_file: src/Home.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

nfl-playoff-challenge-steamlit Streamlit Application

Template Repo for Streamlit Application - https://github.com/JonSolow/streamlit-template

Here are some of the features of the template:

• VSCode .devcontainer for local development: Documentation
  • docker-compose.yml
  • Dockerfile
• Linting Configuration [TO-DO] (allows for clean code and quicker detection of possible bugs as one of the first steps in Shift-left testing)
  • Black
  • ruff
  • mypy
• Unit Tests
  • pytest

Start Here to Develop

1. Prerequisites

• Install Visual Studio Code
• Install Visual Studo Code Extension - Dev containers
• Install Docker

2. Confirm Docker is installed by executing command docker -v
3. Open VSCode to a New Window and open this repository's directory
4. You may see a notification that the Folder containers a Dev Container configuration file. If so, click on "Reopen in Container"

• If you do not see this notification, press F1 key and begin typing the following until you can see the option "Dev Containers: Rebuild and reopen in Container".
• This action will reopen the VSCode within a Docker container suitable to develop and locally run the application.

5. The dev container will start up the Streamlit application.

• To access the application, navigate to http://localhost:8501
  • The container forwards the port 8501 where the Streamlit application is hosted
• Any changes made to the code will be reflected in the Streamlit application when you refresh.

6. Now inside the VSCode dev container, to run tests, execute ./tests/run_tests.sh

• This script has an optional argument -f for "fix mode" which allows for configuration of black and ruff to automatically apply fixes.

7. As functions are added to the application, unit tests can/should be added in tests/unit, with existing support utilizing the pytest library.