bicycle-statistics: add accumulated distances view

gpx2html/__init__.py

@@ -126,9 +126,9 @@ class Gpx2Html(object):
         accumulated_distances = dict()
         for year in distances_dict.keys():
             accumulated_distance = list()
-            accumulated_distance.append(0)
+            accumulated_distance.append(distances_dict[year][0])
-            for i in range(0, len(distances_dict[year])):
+            for i in range(1, len(distances_dict[year])):
-                accumulated_distance.append(accumulated_distance[i] + distances_dict[year][i])
+                accumulated_distance.append(accumulated_distance[i - 1] + distances_dict[year][i])
             accumulated_distances[year] = accumulated_distance
 
         current_year = datetime.datetime.today().year
@@ -138,7 +138,7 @@ class Gpx2Html(object):
             current_year_distance.append(accumulated_distances[current_year][i])
         accumulated_distances[current_year] = current_year_distance
 
-        plot_line_chart(accumulated_distances, [""] + MONTH_LABELS,
+        plot_line_chart(accumulated_distances, MONTH_LABELS,
                         "accumulated distance", 'Month', 'km',
                         os.path.join(self.outfolder, 'acc_dist.png'))
 

gpx_parser/__init__.py

@@ -1,115 +1,255 @@
+#!/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 gpxpy
-import gpxpy.gpx
-from geopy import distance
-from geopy import Point
 import pandas as pd
+import collections
+from gpx_parser import Tracks
 
-class Segment(object):
+MONTH_LABELS = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']
-    start_time = None
-    end_time = None
-    distance = 0.0     # [m]
-
-class Track(object):
-    start_time = None
-    end_time = None
-    distance = 0.0     # [m]
-    avg_speed = 0.0    # [km/h]
-    duration = None
-
-    def __init__(self, raw_track):
-        for segment in raw_track.segments:
-            seg = Segment()
-            for i in range(1, len(segment.points)):
-                if self.start_time is None:
-                    self.start_time = segment.points[i - 1].time
-                if seg.start_time is None:
-                    seg.start_time = segment.points[i - 1].time
-                seg.end_time = segment.points[i - 1].time
-                point1 = Point(str(segment.points[i - 1].latitude) + \
-                    ' ' + str(segment.points[i - 1].longitude))
-                point2 = Point(str(segment.points[i].latitude) + \
-                    ' ' + str(segment.points[i].longitude))
-                seg.distance += distance.distance(point1, point2).meters
-
-            try:
-                if self.duration is None:
-                    self.duration = seg.end_time - seg.start_time
-                else:
-                    self.duration += seg.end_time - seg.start_time
-            except Exception:
-                # TODO: Add logging mechanism.
-                pass
-            self.end_time = seg.end_time
-            self.distance += seg.distance
-        self.avg_speed = self.distance / self.duration.total_seconds() * 3.6
 
 
-class Tracks(object):
+def plot_bar_chart(labels, ticklabels, values, title, xlabel, ylabel, filename, xtick_rotation=0):
-    __distance = dict()
+    fig = plt.figure()
-    __duration = dict()
+    ax1 = fig.add_subplot(111)
-    __avg_speed = dict()
+    ax1.grid(zorder=0)
-    __tracks = list()
+    ax1.spines["top"].set_visible(False)
-    __files = list()
+    ax1.spines["bottom"].set_visible(False)
+    ax1.spines["left"].set_visible(False)
+    ax1.spines["right"].set_visible(False)
 
-    def __init__(self, logger):
+    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 (must be same length as value list).
+        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)
+
+    plt.title(title)
+    plt.xlabel(xlabel)
+    plt.ylabel(ylabel)
+
+    for key in values.keys():
+        if len(ticklabels) == len(values[key]):
+            plt.plot(ticklabels, values[key], label=key)
+        else:
+            short_ticklabels = list()
+            for i in range(0, len(values[key])):
+                short_ticklabels.append(ticklabels[i])
+            plt.plot(short_ticklabels, values[key], label=key)
+
+    x_base = numpy.arange(len(ticklabels))
+    plt.xticks(x_base, ticklabels, rotation=xtick_rotation)
+
+    plt.legend()
+    plt.savefig(filename)
+    plt.close('all')
+
+
+class Gpx2Html(object):
+    def __init__(self, infolder, outfolder, logger):
         self.logger = logger
+        self.infolder = infolder
+        self.outfolder = os.path.abspath(outfolder)
 
-    def add(self, filename):
+        if not os.path.exists(self.outfolder):
-        if filename not in self.__files:
+            os.makedirs(self.outfolder)
-            self.logger.info("Adding file %s.", filename)
-            with open(filename, 'r') as f:
-                self.__files.append(filename)
-                gpx = gpxpy.parse(f)
-                for raw in gpx.tracks:
-                    track = Track(raw)
-                    self.__tracks.append(track)
-                    trk_month = track.start_time.month
-                    trk_year = track.start_time.year
 
-                    if trk_year not in self.__distance:
+        self.tracks = Tracks(logger)
-                        self.__distance[trk_year] = {1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0, 8: 0, 9: 0, 10: 0, 11: 0, 12: 0}
+        self.update()
-                    self.__distance[trk_year][trk_month] += track.distance / 1000
 
-                    if trk_year not in self.__duration:
+    def update(self):
-                        self.__duration[trk_year] = {1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0, 8: 0, 9: 0, 10: 0, 11: 0, 12: 0}
+        infiles = glob.glob(os.path.join(self.infolder, '*.gpx'))
-                    self.__duration[trk_year][trk_month] += track.duration.total_seconds()
+        for filename in infiles:
+            self.tracks.add(filename)
 
-                    if trk_year not in self.__avg_speed:
+        self.logger.info("Begin update of png's/html...")
-                        self.__avg_speed[trk_year] = {1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0, 8: 0, 9: 0, 10: 0, 11: 0, 12: 0}
+        distances = list()
-                    self.__avg_speed[trk_year][trk_month] = self.__distance[trk_year][trk_month] / (self.__duration[trk_year][trk_month] / 3600)
+        avg_speeds = list()
-            self.logger.info("Adding done.")
+        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))
+            self.logger.info("{}: {}".format(year, self.tracks.distances))
 
-    def years(self):
+        plot_bar_chart(self.tracks.years(), MONTH_LABELS, distances,
-        ret = None
+                       'Distance', 'Month', 'km',
-        try:
+                       os.path.join(self.outfolder, 'distance.png'))
-            ret = sorted(self.__distance.keys())
-        except Exception:
-            pass
-        return ret
 
-    def distances(self, year):
+        plot_bar_chart(self.tracks.years(), MONTH_LABELS, avg_speeds,
-        ret = 0
+                       'Average Speed', 'Month', 'km/h',
-        try:
+                       os.path.join(self.outfolder, 'avg_spd.png'))
-            ret = self.__distance[year].values()
-        except Exception:
-            pass
-        return ret
 
-    def avg_speeds(self, year):
+        # Accumulated distance:
-        ret = None
+        accumulated_distances = dict()
-        try:
+        for year in distances_dict.keys():
-            ret = self.__avg_speed[year].values()
+            accumulated_distance = list()
-        except Exception:
+            accumulated_distance.append(0)
-            pass
+            for i in range(0, len(distances_dict[year])):
-        return ret
+                accumulated_distance.append(accumulated_distance[i] + distances_dict[year][i])
+            accumulated_distances[year] = accumulated_distance
 
-    def tracks(self, start_date, end_date):
+        current_year = datetime.datetime.today().year
-        tracks = list()
+        current_month = datetime.datetime.today().month
+        current_year_distance = list()
+        for i in range(0, current_month):
+            current_year_distance.append(accumulated_distances[current_year][i])
+        accumulated_distances[current_year] = current_year_distance
+
+        plot_line_chart(accumulated_distances, [""] + MONTH_LABELS,
+                        "accumulated distance", 'Month', 'km',
+                        os.path.join(self.outfolder, 'acc_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 track in self.__tracks:
+        for date in dates:
-            if track.start_time.date() in dates:
+            for track in last_n_tracks:
-                tracks.append(track)
+                if date.date() == track.start_time.date():
-        return tracks
+                    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('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')