Present RescueTime's productivity output as a pie chart, could be used in stuff like geektools.

rescue_pie.py

import json
import urllib.request
import urllib.parse
import sys
import datetime
import os

output_dir = sys.argv[1]
apikey = sys.argv[2]

date = datetime.datetime.today().strftime('%Y-%m-%d')
url = 'https://www.rescuetime.com/anapi/data?key={api:s}&perspective=rank&restrict_kind=productivity&restrict_begin={begin:s}&restrict_end={end:s}&format=json'.format(api=apikey, begin=date, end=date)

f = urllib.request.urlopen(url)

data = json.loads(f.read())

product_map = {
   0 : 'Neutral',
   1 : 'Productive',
   2 : 'Very Productive',
   -1: 'Distracting',
   -2: 'Very Distracting',
}

weights = {
   'Neutral': 50,
   'Productive': 75,
   'Very Productive': 100,
   'Distracting': 25,
   'Very Distracting': 0,
}

if not data['rows']:
  sys.exit(1)


product = dict([(product_map[prod], seconds * 1.0 / 60) for rank, seconds, num, prod in data['rows']])
labels = ['Very Distracting','Distracting', 'Neutral', 'Productive', 'Very Productive']
sizes = [product.get(key, 0) for key in labels]

# Comput pulse.
prod_sum = sum(product.values())
percents = dict([(k,p/prod_sum) for k, p in product.items()])
pulse = int(round(sum([percents.get(name, 0) * weight for name, weight in weights.items()])))

import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt

# Pie chart
colors = ['#D71600', '#DD675A', '#B1C1BF', '#3F7DDD', '#0C50BF']
circle_size = 0.5
pct_dist = 0.7
explosion = 0.0
pulse_size = 75
label_dist = 1.1
label_size = 0
auto_size = 18

#pulse_color = '#ED7E36'
if pulse < 60:
    pulse_color = 'red'
else:
    pulse_color = 'black'
circle_color = '#d9e1fc'

def make_autopct(values):
    def my_autopct(pct):
        total = sum(values)
        val = pct*total/100.0
        hours = int(val / 60)
        minutes = int(val % 60)
        time = '{h:d} Hr \n{m:d} Min'.format(h=hours,m=minutes) if hours else '{m:d} Min'.format(m=minutes)
        return '{p:.0f}%  \n{t:s}'.format(p=pct,t=time) if pct > 10 else ''
    return my_autopct

explode = [explosion] * 5

fig1, ax1 = plt.subplots()
labels = None
patches, texts, autotexts = ax1.pie(sizes, colors = colors, labels=labels, autopct=make_autopct(sizes), labeldistance=label_dist, pctdistance=pct_dist, startangle=90, explode=explode, rotatelabels=False)

#draw circle
centre_circle = plt.Circle((0,0),circle_size,fc=circle_color)
fig = plt.gcf()
fig.gca().add_artist(centre_circle)

plt.text(0, 0, pulse, ha='center', va='center', size=pulse_size, color=pulse_color)

for text in texts:
    text.set_color('black')
    text.set_size(label_size)
for autotext in autotexts:
    autotext.set_color('black')
    autotext.set_size(auto_size)

# Equal aspect ratio ensures that pie is drawn as a circle
ax1.axis('equal')  
plt.tight_layout()
plt.savefig(os.path.join(output_dir, 'chart.png'), transparent=True)