denisecase / cintel-05-cintel

PyShiny for continuous intelligence (random readings, stored values, content updating with each new reading)

Home Page:https://denisecase.github.io/cintel-05-cintel/

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cintel-05-cintel

PyShiny for continuous intelligence (uses random readings, stored values, content updating with each new reading)

We'll add:

  • faicons for better icons on our cards
  • pandas (and pyarrow) for data manipulation
  • shinywidgets for showing plotly charts (render_plotly) and more
  • plotly for interactive charts
  • scipy for statistical analysis

Try in the Browser

Go to PyShiny Playground at https://shinylive.io/py/examples/#basic-app. Copy and paste content from dashboard/app.py and run. The PyShiny Playground includes these packages already, so you won't need requirements.txt:

Get the Code

Fork this project into your own GitHub account and/or just borrow code from app.py. Clone your GitHub repo down to your local machine. Use your GitHub username in place of denisecase and your GitHub repo name in place of cintel-05-cintel. GitHub CLI may work better on some machines.

git clone https://github.com/denisecase/cintel-05-cintel

Run Locally - Initial Start

After cloning your project down to your Documents folder, open the project folder for editing in VS Code.

Create a local project virtual environment named .venv, activate it, and install the requirements.

When VS Code asks to use it for the workspace, select Yes. If you miss the window, after installing, select from the VS Code menu, View / Command Palette, and type "Python: Select Interpreter" and select the .venv folder.

Open a terminal (VS Code menu "View" / "Terminal") in the root project folder and run these commands (for Windows - the activate command is slightly different Linux/Mac).

py -m venv .venv
.venv\Scripts\Activate
py -m pip install --upgrade pip setuptools
py -m pip install --upgrade -r requirements.txt

Open a terminal (VS Code menu "View" / "Terminal") in the root project folder and run these commands.

shiny run --reload --launch-browser dashboard/app.py

Open a browser to http://127.0.0.1:8000/ and test the app.

Run Locally - Subsequent Starts

Open a terminal (VS Code menu "View" / "Terminal") in the root project folder and run these commands.

.venv\Scripts\Activate
shiny run --reload --launch-browser dashboard/app.py

After Changes, Export to Docs Folder

Export to docs folder and test GitHub Pages locally.

Open a terminal (VS Code menu "Terminal" / "New Terminal") in the root project folder and run these commands.

shiny static-assets remove
shinylive export dashboard docs
py -m http.server --directory docs --bind localhost 8008

Open a browser to http://[::1]:8008/ and test the Pages app.

Push Changes back to GitHub

Open a terminal (VS Code menu "Terminal" / "New Terminal") in the root project folder and run these commands.

git add .
git commit -m "Useful commit message"
git push -u origin main

Enable GitHub Pages

Go to your GitHub repo settings and enable GitHub Pages for the docs folder.

Explore

Implement better icons for the dashboard.

About

PyShiny for continuous intelligence (random readings, stored values, content updating with each new reading)

https://denisecase.github.io/cintel-05-cintel/

License:MIT License


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Language:Python 100.0%