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') as file:
            data = file.readlines()
            line_number = [index for index, item in enumerate(data) if (outlet + ",") in item]
            weekly_value = float(data[line_number[0]]) / 7
        with open("totals/monthly.csv", 'r') as file:
            data = file.readlines()
            line_number = [index for index, item in enumerate(data) if (outlet + ",") in item]
            monthly_value = float(data[line_number[0]]) / 30
        if (weekly_value < monthly_value):
            if (daily_value < monthly_value):
                message = "Great improvement - keep doing what you're doing!"
                if outlet != "global":
                    amazing_usage.append(outlet)
            else:
                message = "Water usage is rising again - try to reduce your usage slightly."
                if outlet != "global":
                    rising_usage.append(outlet)
        elif (daily_value < weekly_value):
            message = "Water usage is improving - well done."
            if outlet != "global":
                lowering_usage.append(outlet)
        else:
            message = "Water usage is high, and is increasing - try to lower it."
            if outlet != "global":
                bad_usage.append(outlet)
        messages.extend((outlet + "," + message + ""))
    improvement_outlets = []
    if (len(bad_usage) > 0):
        improvement = "Drastically improve usage at "
        for outlet in bad_usage:
            improvement_outlets.append(outlet.lower())
    elif (len(rising_usage) > 0):
        improvement = "Improve usage at "
        for outlet in rising_usage:
            improvement_outlets.append(outlet.lower())
    else:
        improvement = "Your water usage is decreasing - keep up the good work!"
    
    improvement += "{}, and {}".format(", ".join(improvement_outlets[:-1]), improvement_outlets[-1])
    
    # update file
    with open("improvement-messages.csv", 'w') as file:
        file.writelines(messages)
        
    # update file
    with open("global-improvement.txt", 'w') as file:
        file.writelines(improvement)

# update AI tips every 24 hours
while True:
    today = datetime.today()
    pause.until(datetime(today.year, today.month, today.day, 0, 0, 0))
    updateTips()
    with open("totals/daily.csv", 'r') as file:
        file.write("outlet,total\n")
    with open("totals/daily/global.csv", 'r') as file:
        file.write("outlet,total\n")
    with open("totals/daily/Bath.csv", 'r') as file:
        file.write("outlet,total\n")
    if (today.weekday() == 0):
        with open("totals/weekly.csv", 'r') as file:
            file.write("outlet,total\n")
        with open("totals/weekly/global.csv", 'r') as file:
            file.write("outlet,total\n")
        with open("totals/weekly/Bath.csv", 'r') as file:
            file.write("outlet,total\n")
    if (today.day() == 1):
        with open("totals/monthly.csv", 'r') as file:
            file.write("outlet,total\n")
        with open("totals/monthly/global.csv", 'r') as file:
            file.write("outlet,total\n")
        with open("totals/monthly/Bath.csv", 'r') as file:
            file.write("outlet,total\n")

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.

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