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#!/usr/bin/python3
# displays stats as graph. assumes csv is in chronological order, with no
# overlapping sessions. as initial test: make a bar chart for time spent per
# tag, for every day
import pygal
import csv
import argparse
from collections import OrderedDict
import formatting as f
parser = argparse.ArgumentParser()
parser.add_argument("logfile", help="log file to display chart of",
type=argparse.FileType('r'))
args = parser.parse_args()
day_times = f.per_tag_per_day(args.logfile)
for day in day_times:
chart = pygal.Bar()
pie = pygal.Pie()
for key, value in day.items():
if key == "date":
continue
chart.add(key, round(value/60, 0))
pie.add(key, round(value/60, 0))
chart.render_to_file(str(day["date"]+"-bar.svg"))
pie.render_to_file(str(day["date"]+"-pie.svg"))
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