Setting up Virtual Environment & Flask
- Semester: Spring 202020
- Team: 235 : tufte-love
To provide an intuitive “look-ahead” tool which helps users choose the most financially optimum option between buying or renting a home.
Set up virtual environment:
knail1s-MBP.home [rent-v-buy]$
knail1s-MBP.home [rent-v-buy]$ python3.7 -m venv venv
Activate virtual environment:
knail1s-MBP.home [rent-v-buy]$ . venv/bin/activate
(venv) knail1s-MBP.home [rent-v-buy]$
Install all requirements:
(venv) knail1s-MBP.home [rent-v-buy]$ pip install -r requirements.txt
Note: we purposely don't upload the virtual env directory to git. You are required to create a fresh venv/ locally.
(venv) knail1s-MBP.home [rent-v-buy]$ export FLASK_APP=rentvbuy.py
(venv) knail1s-MBP.home [rent-v-buy]$ flask run
* Serving Flask app "dbtest.py"
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
For tips set up and run this in Pycharm, please check out this link
- Database: We have hosted our databased on magenta.myhosted.com website which provides a paid mysql service
- recommended systems to create and populate the database are mysql workbench from Oracle
- Front-end: for the front-end we are using free online services from Heroku.
- we have integrated this github repo such that a change (merge, push etc) triggers an automated build in heroko and deploy to this end point.
- by simply updating
mydbconfig.pyyou can specify the local data source - we have hosted the database on a LAMP or MAMP server downloaded from bitnami, with exactly the same data and schema as the online version.
- for running the front-end, we do it directly through PyCharm, or from the CLI. the steps are listed above in the "How to run (in dev environment)" section.