A Flask-based web application for BFL Developed by: Fangzhou Sun, Robert Shelton, Ben Hadinger, Nathan Smith
Install Anaconda Python 3.6 version at https://www.anaconda.com/download/
Install the latest Gurobi, follow the instruction at http://www.gurobi.com/downloads/get-anaconda Or use command
conda config --add channels http://conda.anaconda.org/gurobi
conda install gurobi
You will need to get a Gurobi free academic license at http://www.gurobi.com/downloads/licenses/license-center
Install Flask and Waitress
conda install flask waitress
npm install vue
# install dependencies
npm install
# serve with hot reload at localhost:8080
npm run dev
# build for production with minification
npm run build
# build for production and view the bundle analyzer report
npm run build --reportFor a detailed explanation on how things work, check out the guide and docs for vue-loader.
For development, cd to the project folder, then use python myapp.py to start the server.
Next in a different terminal cd into the frontend folder and run npm run dev to start the client in dev mode
A Waitress production server can be started by python production.py.
- Keep master branch free of errors.
- Make small feature pull requests
- Commit code often
- Never push to master
- Don't work on a feature on an isolated branch for an entire semester
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- Make consistent pull request to keep master from falling to far behind
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- This will reduce merge conflicts in the future
- Start on master branch if on a different branch
git checkout master - Make sure your local version of master is up-to-date
git pull - Create a new branch for the code you want to add
git checkout -b <branch-name> - Write code
git add <files changed>, commit codegit commit -m "what you did", push to create upstream branch on GitHubgit push --set-upstream origin <name-of-branch> - Go to GitHub and create a pull request for master and wait for team members to review