Skip to content

Latest commit

 

History

History
86 lines (68 loc) · 3.25 KB

README.md

File metadata and controls

86 lines (68 loc) · 3.25 KB
Raw

Latrine Inspection Sanitary Protection (LISP)

LISP_BANNER

Contributors

Keegan McGinnis, Ryan Zacharias, Yo Shium Wong

Description

Have you ever wandered around Vancouver and wanted to go to the washroom? I sure have and boy did it not end well. With the help of LISP, all those worries of quickly finding a washroom will go away. LISP is a web-based tool that helps users find washrooms and also review washrooms in the Vancouver area. The front-end is built using React and the back-end uses Django Rest Framework.

Technical Details

Frontend

React & Bootstrap

Backend

Django Rest Framework (sqlite)

APIs

  1. City of Vancouver (https://opendata.vancouver.ca/api/records/1.0/search/?dataset=public-washrooms&q=&facet=type&facet=summer_hours&facet=winter_hours&facet=wheel_access&facet=maintainer&facet=geo_local_area)
  2. Google Streetview API

Math

Haversine Distance Formula image image

Pandas, NumPy

Build Instructions

Backend:

    pip install -r requirements.txt   
    python manage.py runserver

Frontend:

    npm install
    npm run devstart

(Currently frontend and backend need to be ran and tested separately)

(Additional requirements: Google Streetview API Key with billing, and SQLite Database with City of Vancouver Public Washroom data)

TO GET THE SQLITE TABLE RUN THIS SCRIPT, MUST BE IN DJANGO SHELL (python manage.py shell)

from LISP.models import Rating, Coordinate
import os
import pandas as pd

data = pd.read_json(os.path.join(os.getcwd(),'LISP\\public-washrooms.json'))
bathrooms= pd.DataFrame(columns=['latitude', 'longitude', 'primaryind'])

for i in range(len(data)):
    latitude = data['fields'].iloc[i]['geom']['coordinates'][0]
    longitude = data['fields'].iloc[i]['geom']['coordinates'][1]
    primaryind = data['fields'].iloc[i]['primaryind']
    bathrooms.at[i, 'latitude'] = latitude
    bathrooms.at[i, 'longitude'] = longitude
    bathrooms.at[i, 'primaryind'] = primaryind
    
bathrooms['latitude'] = bathrooms['latitude'].astype('float64')
bathrooms['longitude'] = bathrooms['longitude'].astype('float64')

for i in range(len(bathrooms)):
    bathroom = bathrooms.iloc[i]
    coord = Coordinate(latitude=bathroom['latitude'], longitude=bathroom['longitude'])
    coord.save()
    rating = Rating(primaryind=bathroom['primaryind'], location=coord)
    rating.save()

To test Django Rest Framework:

Use the following URL parameters in URL or Postman:

ex: http://127.0.0.1:8000/api/LISP?latitude=-123.103599022256&longitude=49.2778209665246

latitude - -90 to 90
longitude - -180 to 180

Video

image

To-do

  1. Finish integrating the front-end and back-end together.
  2. POST for rating system.
  3. Expand out of Vancouver.