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Showing posts from March, 2019

AI Tips

AI tips have finally made their way onto our test site, after having spent some time coding the hub to process the received data each second (using Python) and read from the files produced by this process when the tips dialog box is opened. The adjusted Python code for the hub is as follows: import os, pause from datetime import datetime def updateTips(): messages = ["outlet,message\n"] bad_usage = [] amazing_usage = [] rising_usage = [] lowering_usage = [] for file in os.listdir(os.fsencode("rates/daily")): outlet = os.fsdecode(file).replace(".csv", "") now = datetime.datetime.now() with open("totals/daily.csv", 'r') as file: data = file.readlines() line_number = [index for index, item in enumerate(data) if (outlet + ",") in item] daily_value = float(data[line_number[0]]) with open("totals/weekly.csv", 'r'

Hub & Outlet Housing

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We recently mocked-up the housings for both the hub & outlets - feast your eyes! Hub: Outlets: These housings will be fully waterproof. To preview how the site would look in your home, please see our demo site ; all of our code is available open-source on GitHub .

Website

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I've finished coding the website! I used the Material Design Lite Dashboard  template ( https://getmdl.io ), and made significant theme and content changes (including creating a dark theme, based on the two main colours in our logo - #1A1A1A & 006DCC). The dashboard now looks like this: It depends on the following resources: Material Design (material.min.js, material-theme.min.css) Material Icons (material-icons.css) jQuery (jquery.min.js) Morris JS (morris.min.js, morris.css) Raphaël (raphael.min.js) Palette JS (palette.js) jQuery CSV is used to retrieve the data from CSV files on the local server, and Morris JS (which depends on Raphaël) is for the charts that are created from the CSV data, and Palette JS is used to create an array of colours forming a rainbow for each doughnut chart. The charts are configured to update every second; the code is all available open-source  on GitHub . We are yet to implement the AI tips service, and are in the process of org