weathercat-last7rain.py

#! /usr/local/bin/python3

# Recent daily rain script
# For WeatherCat - https://trixology.com
# By Jason Snell <jsnell@sixcolors.com>

import re
import matplotlib.pyplot as plt
from collections import defaultdict
from datetime import date

# Path to folder containing WeatherCat data files in year-folder format
# It's usually '/Users/[your-username]/Library/WeatherCatData/[your-location]/'

weatherCatPath = '/Users/admin/Library/WeatherCatData/Location1/'

# Path to folder where you want image to be saved

savePath = '/Library/Webserver/Documents/snellzone/weather/'

# mm or in switch; in is default

useMM = False

maxprecip = defaultdict(lambda: -99999)
diff = {}
today = date.today()
month = int(today.strftime('%m'))
day = today.strftime('%d')
year = today.strftime('%Y')
datelist = []
daysList = ['S', 'M', 'T', 'W', 'Th', 'F', 'S', 'S']
todaysday = int(today.strftime('%w'))
chartlist = []

for i in range(0, 7):
    if todaysday == 0:
        todaysday = 7
    chartlist.append(daysList[todaysday])
    todaysday -= 1

chartlist.reverse()

datapoint = re.compile(r't:([0-9]{2})[0-9]{4}')
rainpoint = re.compile(r'P:([0-9]{1,3}\.[0-9]{2})')

for i in range(month-1, month+1, 1):

    if i < 1:
        monthcode = 12
        yearcode = str(int(year) - 1)
    else:
        monthcode = i
        yearcode = year

    filepath = (weatherCatPath + f'{yearcode}/{monthcode}_WeatherCatData.cat')
    file = open(filepath, 'r')
    monthstring = str(i)
    if i < 10:
        monthstring = "0" + monthstring

    for count, line in enumerate(file):
        if count > 10:
            theday = datapoint.search(line)
            todayDay = monthstring + (theday.group(1))
            therain = rainpoint.search(line)
            rainfloat = float(therain.group(1))
            if useMM is True:
                maxprecip[todayDay] = rainfloat
            else:
                maxprecip[todayDay] = round(rainfloat * 0.03937007874, 2)

file.close()

# now loop through from monthstring + day
# plucking values for days and putting them in a new list or dict

theRain = list(maxprecip.values())
theRainOne = theRain[-14:-7]
theRainTwo = theRain[-7:]
theDates = list(maxprecip.keys())
theDatesOne = theDates[-14:-7]
theDatesTwo = theDates[-7:]


# Graphing

fig, ax = plt.subplots()

font = {'fontname': 'Helvetica Neue'}
ax.bar(theDatesOne, theRainOne, color="blue")
ax.bar_label(ax.containers[0], color="black")
ax.set_aspect(aspect=0.4)
ax.set_yticks([])
plt.box(False)
plt.xticks(theDatesOne, chartlist, color="black", **font)
plt.savefig(f'{savePath}latestrain1.png', bbox_inches='tight',
            dpi=300, pad_inches=0.05)

fig, ax = plt.subplots()

font = {'fontname': 'Helvetica Neue'}
ax.bar(theDatesTwo, theRainTwo, color="blue")
ax.bar_label(ax.containers[0], color="black")
ax.set_aspect(aspect=0.4)
ax.set_yticks([])
plt.box(False)
plt.xticks(theDatesTwo, chartlist, color="black", **font)
plt.savefig(f'{savePath}latestrain2.png', bbox_inches='tight',
            dpi=300, pad_inches=0.05)