bicycle-statistics/gpx2html/__init__.py

#!/usr/bin/env python

import argparse
import datetime
import sys
import gpx_parser
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy
import os
import pandas as pd
import collections

def plot_bar_chart(labels, ticklabels, values, title, xlabel, ylabel, filename, xtick_rotation=0):
    fig = plt.figure()
    ax1 = fig.add_subplot(111)
    ax1.grid(zorder=0)
    ax1.spines["top"].set_visible(False)
    ax1.spines["bottom"].set_visible(False)
    ax1.spines["left"].set_visible(False)
    ax1.spines["right"].set_visible(False)

    plt.title(title)
    plt.xlabel(xlabel)
    plt.ylabel(ylabel)

    width = 1.0 / len(values) - 0.03
    x_base = numpy.arange(len(ticklabels))
    x_pos = list()

    for i in range(len(values)):
        x_pos.append([x + (width / 2) + i * width for x in range(len(x_base))])
        plt.bar(x_pos[i], values[i], width=width, label=labels[i], zorder=2)

    plt.xticks(x_base, ticklabels, rotation=xtick_rotation)

    # Tweak spacing to prevent clipping of tick-labels
    plt.subplots_adjust(bottom=0.2)

    plt.legend()
    plt.savefig(filename)


class Gpx2Html(object):
    MONTH_LABELS = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']

    def __init__(self, infolder, outfolder):
        self.infolder = infolder
        self.outfolder = outfolder


    def process(self):
        self.tracks = gpx_parser.Tracks(self.infolder)
        years_distance = list()
        years_avg_spd = list()
        years = list()
        for year in range(2017, datetime.datetime.now().year + 1):
            month_avg_spd = {1:0, 2:0, 3:0, 4:0, 5:0, 6:0, 7:0, 8:0, 9:0, 10:0, 11:0, 12:0}
            month_distance = {1:0, 2:0, 3:0, 4:0, 5:0, 6:0, 7:0, 8:0, 9:0, 10:0, 11:0, 12:0}
            month_duration = {1:0, 2:0, 3:0, 4:0, 5:0, 6:0, 7:0, 8:0, 9:0, 10:0, 11:0, 12:0}
            for month in range(1, 13):
                if month == 12:
                    max_day = (datetime.date(year + 1, 1, 1) - datetime.timedelta(days=1)).day
                else:
                    max_day = (datetime.date(year, month + 1, 1) - datetime.timedelta(days=1)).day
                for day in range(1, max_day + 1):
                    date_tracks = self.tracks.get(year, month, day)
                    for track in date_tracks:
                        month_distance[month] += (track.distance / 1000)    # km
                        month_duration[month] += track.duration.total_seconds() / 3600  # h
            for i in range(1, 13):
                if month_duration[i] > 0:
                    month_avg_spd[i] = month_distance[i] / month_duration[i]
            years_distance.append(month_distance.values())
            years_avg_spd.append(month_avg_spd.values())
            years.append(str(year))

        out_folder = os.path.abspath(self.outfolder)

        dst_file_name = 'distance.png'
        plot_bar_chart(years, self.MONTH_LABELS, years_distance, 'Distance', 'Month', 'km', os.path.join(out_folder, dst_file_name))

        avg_file_name = 'avg_spd.png'
        plot_bar_chart(years, self.MONTH_LABELS, years_avg_spd, 'Average Speed', 'Month', 'km/h', os.path.join(out_folder, avg_file_name))

        # last n days
        n = 14
        end_date = datetime.date.today()
        start_date = end_date - datetime.timedelta(days=n)
        dates = pd.date_range(start_date, end_date)

        date_distance = dict()
        date_duration = dict()
        date_avg_spd = dict()

        for date in dates:
            date_str = "{0:04d}-{1:02d}-{2:02d}".format(date.year, date.month, date.day)
            date_tracks = self.tracks.get(date.year, date.month, date.day)
            for track in date_tracks:
                try:
                    current_dist = date_distance[date_str]
                    current_duration = date_duration[date_str]
                except KeyError:
                    current_dist = 0
                    current_duration = 0
                current_dist += track.distance / 1000
                date_distance.update({date_str:current_dist})
                current_duration += track.duration.total_seconds() / 3600
                date_duration.update({date_str:current_duration})
            # check for empty dates
            try:
                current_dist = date_distance[date_str]
                current_duration = date_duration[date_str]
            except KeyError:
                date_distance.update({date_str:0})
                date_duration.update({date_str:0})

        date_duration = collections.OrderedDict(sorted(date_duration.items()))

        for key, value in date_duration.items():
            if value == 0:
                date_avg_spd.update({key:0})
            else:
                avg_spd = date_distance[key] / value
                date_avg_spd.update({key:avg_spd})

        date_avg_spd = collections.OrderedDict(sorted(date_avg_spd.items()))
        date_distance = collections.OrderedDict(sorted(date_distance.items()))

        dst_n_file_name = "distance_last_{}_days.png".format(n)
        plot_bar_chart(["Distance", "Average speed"],
                    date_distance.keys(),
                    [date_distance.values(), date_avg_spd.values()],
                    'Last {} days'.format(n),
                    'Date',
                    'km, km/h',
                    os.path.join(out_folder, dst_n_file_name),
                    90)

        html_file = os.path.join(out_folder, 'index.html')
        with open(html_file, 'w') as handle:
            handle.write('<!DOCTYPE html>\n')
            handle.write('<html>\n')
            handle.write('<head>\n')
            handle.write('<style>\n')
            handle.write('table {\n')
            handle.write('    border-collapse: separate;\n')
            handle.write('    border-spacing: 20px 0;\n')
            handle.write('}\n')
            handle.write('th {\n')
            handle.write('    text-align: left;\n')
            handle.write('}\n')
            handle.write('</style>\n')
            handle.write('<title> Bicycle </title>\n')
            handle.write('</head>\n')
            handle.write('<body>\n')
            handle.write('<center>\n')
            handle.write('<h1> Bicycle </h1>\n')
            handle.write('<p>\n')

            handle.write('<table>\n')
            handle.write('<tr>\n')
            for year in years:
                handle.write('<th>{}</th>\n'.format(year))
            handle.write('</tr>\n')

            handle.write('<tr>\n')
            for i in range(len(years_distance)):
                handle.write('<td>{} km</td>\n'.format(round(sum(years_distance[i]), 1)))
            handle.write('</tr>\n')
            handle.write('</table>\n')

            handle.write('</p>\n')

            handle.write('<p>\n')
            handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(dst_file_name))
            handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(avg_file_name))
            handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(dst_n_file_name))
            handle.write('</p>\n')

            handle.write('</body>\n')
            handle.write('<center>\n')
            handle.write('</html>\n')