A Data Visualization Webapp Demo

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• About
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Repo Url

• GitHub
• Official VMware GitLab

Tools

• Server-end

  • flask

• Front-end

  • echarts
  • bootstrap
  • font awesome

• Deployment

  • gunicorn

Dependencies and Virtual Environment

• First you need to install python(3.6 or above) and python virtual environment and create your own virtural environment (e.g. venv) under the project folder by typing "$ python -m venv venv".
• Activate virtual environment by: Open the project folder in terminal, type"$ source ./venv/bin/activate". You may also do this via Python Ides(e.g. pycharm) by configging the interpreter as venv and the python inside the folder.
• If you activated your virtual environment successfully, your will see "(venv)" in your command line
• Dependencies in a virtual environment can be exported: $ pip freeze > requirements.txt
• Dependencies can be installed into a virtual environment: $ pip install -r requirements.txt

How to run with dev server

1. Make sure you have your virtual environment activated

2. Install dependencies into your virtual environment

3. You can run server by typing:"$ python math-server.py" and open the link "http://127.0.0.1:5000/" in your browser

4. Use "ctrl+c" to stop the server and use "$ deactivate" to quit virtual environment

How to run with production server

1. Make sure you have your virtual environment activated

2. Install dependencies into your virtual environment

3. Run server in background: $ gunicorn math-server:app -p math-server.pid -b "your ip":"your port" -D

4. See the pid of your server: $ cat math-server.pid

5. Shutdown your server: $ kill "pid of your server"