generate-random-forecast-data.py

#!/usr/bin/env python3
#
# This Python 3 script generates a set of randomized data for import into
# AWS Forecast.
#
# The output is sent to the terminal.
# To generate a file, pipe the output to a file.

import random


# Arbitrary values given to latitude, longitude and the current hour
latitude = 30
longitude = 30
hour = 8


# Array to keep track of the days of the week
days = [
    'Sunday',
    'Monday',
    'Tuesday',
    'Wednesday',
    'Thursday',
    'Friday',
    'Saturday',
    'Sunday' ]
day = 0


# Pick a random number between 1 and 100, and set a range for the random number
number = random.uniform(1.0,100.0)
low = 0.0
high = 100.0

if number < 20:
    low = number-1
    high = number+1
else:
    low = number-(number/10)
    high = number+(number/10)


# Print a semi-randomly generated data for our application
for i in range(50):
    hour = 8

    for j in range(6):
        # Add leading 0
        if (hour == 8 or hour == 9):
            print('2019-09-08 0%d:00:00,%.4f,%.4f,%.4f,%s' % (hour,random.uniform(low,high),latitude,longitude,days[day]))
        else:
            print('2019-09-08 %d:00:00,%.4f,%.4f,%.4f,%s' % (hour,random.uniform(low,high),latitude,longitude,days[day]))
        hour += 1

    if day == 7:
        day = 0
    else:
        day += 1