bicycle_statistics: Update pages differentially
Signed-off-by: Thomas Klaehn <thomas.klaehn@u-blox.com>
This commit is contained in:
Thomas Klaehn
@@ -2,6 +2,7 @@
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import argparse
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import datetime
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import glob
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import sys
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import gpx_parser
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import matplotlib
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@@ -11,6 +12,10 @@ import numpy
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import os
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import pandas as pd
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import collections
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from gpx_parser import Tracks
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MONTH_LABELS = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']
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def plot_bar_chart(labels, ticklabels, values, title, xlabel, ylabel, filename, xtick_rotation=0):
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fig = plt.figure()
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@@ -41,43 +46,103 @@ def plot_bar_chart(labels, ticklabels, values, title, xlabel, ylabel, filename,
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plt.legend()
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plt.savefig(filename)
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class Gpx2Html(object):
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MONTH_LABELS = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']
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def __init__(self, infolder, outfolder):
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def __init__(self, infolder, outfolder, logger):
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self.logger = logger
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self.infolder = infolder
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self.outfolder = os.path.abspath(outfolder)
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self.distance_diag_file = 'distance.png'
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self.distance_diag_abs = os.path.join(self.outfolder, self.distance_diag_file)
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self.avg_spd_diag_file = 'avg_spd.png'
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self.avg_spd_diag_abs = os.path.join(self.outfolder, self.avg_spd_diag_file)
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self.last_n_days_diag_file = None
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self.html_file = os.path.join(self.outfolder, 'index.html')
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self.years_distance = list()
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self.years_avg_spd = list()
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self.years = list()
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self.tracks = Tracks(logger)
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self.update()
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def plot_distance_diagram(self):
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plot_bar_chart(self.years, self.MONTH_LABELS, self.years_distance,
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'Distance', 'Month', 'km', self.distance_diag_abs)
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def update(self):
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infiles = glob.glob(os.path.join(self.infolder, '*.gpx'))
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for filename in infiles:
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self.tracks.add(filename)
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self.logger.info("Begin update of png's/html...")
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distances = list()
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avg_speeds = list()
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for year in self.tracks.years():
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distances.append(self.tracks.distances(year))
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avg_speeds.append(self.tracks.avg_speeds(year))
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def plot_avg_spd_diagram(self):
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plot_bar_chart(self.years, self.MONTH_LABELS, self.years_avg_spd,
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'Average Speed', 'Month', 'km/h', self.avg_spd_diag_abs)
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plot_bar_chart(self.tracks.years(), MONTH_LABELS, distances,
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'Distance', 'Month', 'km',
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os.path.join(self.outfolder, 'distance.png'))
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plot_bar_chart(self.tracks.years(), MONTH_LABELS, avg_speeds,
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'Average Speed', 'Month', 'km/h',
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os.path.join(self.outfolder, 'avg_spd.png'))
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def plot_last_n_days(self, day_count):
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plot_bar_chart(["Distance", "Average speed"], self.date_distance.keys(),
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[self.date_distance.values(), self.date_avg_spd.values()],
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'Last {} days'.format(day_count), 'Date', 'km, km/h',
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os.path.join(self.outfolder, self.last_n_days_diag_file), 90)
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end_date = datetime.datetime.today()
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start_date = end_date - datetime.timedelta(days=14)
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last_n_tracks = self.tracks.tracks(start_date, end_date)
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last_n_distances = dict()
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last_n_durations = dict()
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dates = pd.date_range(start_date.date(), end_date.date())
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for date in dates:
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for track in last_n_tracks:
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if date.date() == track.start_time.date():
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get = 0
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try:
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get = last_n_distances[date.date()]
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except KeyError:
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pass
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if get == 0:
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last_n_distances[date.date()] = track.distance / 1000
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else:
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last_n_distances[date.date()] += track.distance / 1000
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try:
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get = last_n_durations[date.date()]
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except KeyError:
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pass
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if get == 0:
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last_n_durations[date.date()] = track.duration.total_seconds()
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else:
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last_n_durations[date.date()] += track.duration.total_seconds()
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else:
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try:
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get = last_n_distances[date.date()]
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except KeyError:
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last_n_distances[date.date()] = 0
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try:
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get = last_n_durations[date.date()]
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except KeyError:
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last_n_durations[date.date()] = 0
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last_n_dist = list()
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last_n_dur = list()
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last_n_avg = list()
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last_n_dates = list()
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for date in dates:
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try:
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last_n_dist.append(last_n_distances[date.date()])
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except KeyError:
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last_n_dist.append(0)
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try:
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last_n_dur.append(last_n_durations[date.date()])
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except KeyError:
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last_n_dur.append(0)
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date_str = "{0:04d}-{1:02d}-{2:02d}".format(date.year, date.month, date.day)
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last_n_dates.append(date_str)
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try:
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if last_n_durations[date.date()] == 0:
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last_n_avg.append(0)
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else:
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last_n_avg.append(last_n_distances[date.date()] /
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(last_n_durations[date.date()] / 3600))
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except KeyError:
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last_n_avg.append(0)
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plot_bar_chart(["Distance", "Average speed"], last_n_dates,
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[last_n_dist, last_n_avg],
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'Last 14 days', 'Date', 'km, km/h',
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os.path.join(self.outfolder, 'last_14_days.png'), 90)
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self.__write_html_file()
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self.logger.info("End update of png's/html...")
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def write_html_file(self):
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with open(self.html_file, 'w') as handle:
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def __write_html_file(self):
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with open(os.path.join(self.outfolder, 'index.html'), 'w') as handle:
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handle.write('<!DOCTYPE html>\n')
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handle.write('<html>\n')
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handle.write('<head>\n')
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@@ -99,102 +164,24 @@ class Gpx2Html(object):
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handle.write('<table>\n')
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handle.write('<tr>\n')
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for year in self.years:
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for year in self.tracks.years():
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handle.write('<th>{}</th>\n'.format(year))
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handle.write('</tr>\n')
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handle.write('<tr>\n')
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for i in range(len(self.years_distance)):
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handle.write('<td>{} km</td>\n'.format(round(sum(self.years_distance[i]), 1)))
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for year in self.tracks.years():
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handle.write('<td>{} km</td>\n'.format(round(sum(self.tracks.distances(year)), 1)))
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handle.write('</tr>\n')
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handle.write('</table>\n')
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handle.write('</p>\n')
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handle.write('<p>\n')
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handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(self.distance_diag_file))
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handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(self.avg_spd_diag_file))
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handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(self.last_n_days_diag_file))
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handle.write('<IMG SRC="{}" ALT="Distance">\n'.format('distance.png'))
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handle.write('<IMG SRC="{}" ALT="Distance">\n'.format('avg_spd.png'))
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handle.write('<IMG SRC="{}" ALT="Distance">\n'.format('last_14_days.png'))
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handle.write('</p>\n')
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handle.write('</body>\n')
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handle.write('<center>\n')
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handle.write('</html>\n')
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def process(self):
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self.years[:] = []
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self.years_avg_spd[:] = []
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self.years_distance[:] = []
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self.tracks = gpx_parser.Tracks(self.infolder)
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for year in range(2017, datetime.datetime.now().year + 1):
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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}
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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}
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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}
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for month in range(1, 13):
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if month == 12:
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max_day = (datetime.date(year + 1, 1, 1) - datetime.timedelta(days=1)).day
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else:
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max_day = (datetime.date(year, month + 1, 1) - datetime.timedelta(days=1)).day
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for day in range(1, max_day + 1):
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date_tracks = self.tracks.get(year, month, day)
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for track in date_tracks:
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month_distance[month] += (track.distance / 1000) # km
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month_duration[month] += track.duration.total_seconds() / 3600 # h
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for i in range(1, 13):
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if month_duration[i] > 0:
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month_avg_spd[i] = month_distance[i] / month_duration[i]
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self.years_distance.append(month_distance.values())
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self.years_avg_spd.append(month_avg_spd.values())
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self.years.append(str(year))
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self.plot_distance_diagram()
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self.plot_avg_spd_diagram()
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# last n days
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n = 14
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end_date = datetime.date.today()
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start_date = end_date - datetime.timedelta(days=n)
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dates = pd.date_range(start_date, end_date)
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self.date_distance = dict()
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date_duration = dict()
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self.date_avg_spd = dict()
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for date in dates:
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date_str = "{0:04d}-{1:02d}-{2:02d}".format(date.year, date.month, date.day)
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date_tracks = self.tracks.get(date.year, date.month, date.day)
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for track in date_tracks:
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try:
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current_dist = self.date_distance[date_str]
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current_duration = date_duration[date_str]
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except KeyError:
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current_dist = 0
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current_duration = 0
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current_dist += track.distance / 1000
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self.date_distance.update({date_str:current_dist})
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current_duration += track.duration.total_seconds() / 3600
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date_duration.update({date_str:current_duration})
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# check for empty dates
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try:
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current_dist = self.date_distance[date_str]
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current_duration = date_duration[date_str]
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except KeyError:
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self.date_distance.update({date_str:0})
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date_duration.update({date_str:0})
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date_duration = collections.OrderedDict(sorted(date_duration.items()))
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for key, value in date_duration.items():
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if value == 0:
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self.date_avg_spd.update({key:0})
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else:
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avg_spd = self.date_distance[key] / value
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self.date_avg_spd.update({key:avg_spd})
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self.date_avg_spd = collections.OrderedDict(sorted(self.date_avg_spd.items()))
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self.date_distance = collections.OrderedDict(sorted(self.date_distance.items()))
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self.last_n_days_diag_file = "distance_last_{}_days.png".format(n)
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self.plot_last_n_days(n)
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self.write_html_file()
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