bicycle-statistics/gpx2html/__init__.py

#!/usr/bin/env python

import argparse
import datetime
import glob
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
from gpx_parser import Tracks
import pytz

import calendar

MONTH_LABELS = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']


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)
    plt.close('all')


def plot_line_chart(values, ticklabels, title, xlabel, ylabel, filename, xtick_rotation=0):
    '''Plot a line chart.

    Args:
        values (dict):  key: line name
                        value (list): line values
        ticklabels (list): Names for the tick labels.
        title (str): Title of the chart.
    '''
    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)

    step = len(values[min(values.keys())]) / len(ticklabels)
    ax1.set_xticks(numpy.arange(1, len(ticklabels) * step, step))
    ax1.set_xticklabels(ticklabels, rotation=xtick_rotation)

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

    for key in values.keys():
        if key == 'blind':
            plt.plot(values[key], linestyle='None')
        else:
            plt.plot(values[key], label=key)

    plt.legend()
    plt.savefig(filename)
    plt.close('all')


def generate_date_list(start_date, end_date):
    r = (end_date + datetime.timedelta(days=1) - start_date).days
    return[start_date + datetime.timedelta(days=i) for i in range(r)]

def get_distance_by_date(tracks, date):
    '''Return accumulated distances [km] by date.

    Args:
        tracks (list(Track)):       List of tracks to be evaluated.
        date (datetine.datetime):   Date to be evaluated.

        Return (float):             Accumulated distance [km] for date.
        '''
    distance = 0
    for track in tracks:
        if track.start_time.year == date.year and \
           track.start_time.month == date.month and \
           track.start_time.day == date.day:
            distance += track.distance
    if distance > 0:
        distance /= 1000
    return distance


class Gpx2Html(object):
    def __init__(self, infolder, outfolder, logger):
        self.logger = logger
        self.infolder = infolder
        self.outfolder = os.path.abspath(outfolder)

        if not os.path.exists(self.outfolder):
            os.makedirs(self.outfolder)

        self.tracks = Tracks(logger)
        self.update()

    def update(self):
        infiles = glob.glob(os.path.join(self.infolder, '*.gpx'))
        for filename in infiles:
            self.tracks.add(filename)

        self.logger.info("Begin update of png's/html...")
        distances = list()
        avg_speeds = list()
        distances_dict = dict()
        for year in self.tracks.years():
            distances.append(self.tracks.distances(year))
            distances_dict[year] = self.tracks.distances(year)
            avg_speeds.append(self.tracks.avg_speeds(year))

        plot_bar_chart(self.tracks.years(), MONTH_LABELS, distances,
                       'Distance', 'Month', 'km',
                       os.path.join(self.outfolder, 'distance.png'))

        plot_bar_chart(self.tracks.years(), MONTH_LABELS, avg_speeds,
                       'Average Speed', 'Month', 'km/h',
                       os.path.join(self.outfolder, 'avg_spd.png'))

        now = datetime.datetime.now()
        # Accumulated distance:
        accumulated_distance = dict()
        for year in self.tracks.years():
            acc_year_dist = list()
            start_date = datetime.datetime(year, 1, 1)
            end_date = datetime.datetime(year, 12, 31)
            if year == now.year:
                end_date = now
            tracks = self.tracks.tracks(start_date, end_date)
            for date in generate_date_list(start_date, end_date):
                date_distance = get_distance_by_date(tracks, date)
                try:
                    acc_year_dist.append(date_distance + acc_year_dist[-1])
                except IndexError:
                    acc_year_dist.append(date_distance)
            accumulated_distance[year] = acc_year_dist

        plot_line_chart(accumulated_distance, MONTH_LABELS,
                        "Accumulated Distance", 'Month', 'km/year',
                        os.path.join(self.outfolder, 'acc_dist.png'))

        # Expected year distance:
        start_date =datetime.datetime(now.year, 1, 1)
        end_date = now
        tracks = self.tracks.tracks(start_date, end_date)
        acc_year_dist = list()
        exp_year_dist = list()
        blind_line = list()
        for date in generate_date_list(start_date, end_date):
            date_distance = get_distance_by_date(tracks, date)
            blind_line.append(0)
            try:
                acc_year_dist.append(date_distance + acc_year_dist[-1])
            except IndexError:
                acc_year_dist.append(date_distance)
            expexted_distance = acc_year_dist[-1] / date.timetuple().tm_yday * 365
            exp_year_dist.append(expexted_distance)

        today = datetime.date.today()
        last_month_day = today.replace(day=calendar.monthrange(today.year, today.month)[1])
        diff = last_month_day - today
        for i in range(diff.days):
            blind_line.append(0)

        xyz = dict()
        xyz['driven'] = acc_year_dist
        xyz['expected @ year end'] = exp_year_dist
        xyz['blind'] = blind_line
        plot_line_chart(xyz, MONTH_LABELS[:now.month], "Distance", 'Month',
                        'km/year', os.path.join(self.outfolder, 'exp_dist.png'))


        end_date = datetime.datetime.today()
        start_date = end_date - datetime.timedelta(days=14)
        last_n_tracks = self.tracks.tracks(start_date, end_date)
        last_n_distances = dict()
        last_n_durations = dict()
        dates = pd.date_range(start_date.date(), end_date.date())
        for date in dates:
            for track in last_n_tracks:
                if date.date() == track.start_time.date():
                    get = 0
                    try:
                        get = last_n_distances[date.date()]
                    except KeyError:
                        pass
                    if get == 0:
                        last_n_distances[date.date()] = track.distance / 1000
                    else:
                        last_n_distances[date.date()] += track.distance / 1000
                    try:
                        get = last_n_durations[date.date()]
                    except KeyError:
                        pass
                    if get == 0:
                        last_n_durations[date.date()] = track.duration.total_seconds()
                    else:
                        last_n_durations[date.date()] += track.duration.total_seconds()
                else:
                    try:
                        get = last_n_distances[date.date()]
                    except KeyError:
                        last_n_distances[date.date()] = 0
                    try:
                        get = last_n_durations[date.date()]
                    except KeyError:
                        last_n_durations[date.date()] = 0
        last_n_dist = list()
        last_n_dur = list()
        last_n_avg = list()
        last_n_dates = list()
        for date in dates:
            try:
                last_n_dist.append(last_n_distances[date.date()])
            except KeyError:
                last_n_dist.append(0)
            try:
                last_n_dur.append(last_n_durations[date.date()])
            except KeyError:
                last_n_dur.append(0)
            date_str = "{0:04d}-{1:02d}-{2:02d}".format(date.year, date.month, date.day)
            last_n_dates.append(date_str)
            try:
                if last_n_durations[date.date()] == 0:
                    last_n_avg.append(0)
                else:
                    last_n_avg.append(last_n_distances[date.date()] /
                                      (last_n_durations[date.date()] / 3600))
            except KeyError:
                last_n_avg.append(0)

        plot_bar_chart(["Distance", "Average speed"], last_n_dates,
                       [last_n_dist, last_n_avg],
                       'Last 14 days', 'Date', 'km, km/h',
                       os.path.join(self.outfolder, 'last_14_days.png'), 90)
        self.__write_html_file()
        self.logger.info("End update of png's/html...")

    def __write_html_file(self):
        with open(os.path.join(self.outfolder, 'index.html'), '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 self.tracks.years():
                handle.write('<th>{}</th>\n'.format(year))
            handle.write('</tr>\n')

            handle.write('<tr>\n')
            for year in self.tracks.years():
                handle.write('<td>{} km</td>\n'.format(round(sum(self.tracks.distances(year)), 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('distance.png'))
            handle.write('<IMG SRC="{}" ALT="Distance">\n'.format('acc_dist.png'))
            handle.write('<IMG SRC="{}" ALT="Distance">\n'.format('exp_dist.png'))
            handle.write('<IMG SRC="{}" ALT="Distance">\n'.format('avg_spd.png'))
            handle.write('<IMG SRC="{}" ALT="Distance">\n'.format('last_14_days.png'))
            handle.write('</p>\n')

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