# 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)
print(day_times)

for day in day_times:
    chart = pygal.Bar()
    for key, value in day.items():
        if key == "date":
            continue
        chart.add(key, value)
    chart.render_to_file(str(day["date"]+".svg"))