commit 051517ec5a5b1133e85e1868984ffa3c772606dc
Author: William Pettersson <william@ewpettersson.se>
Date:   Sun Jul 23 15:14:56 2023 +0100

    Initial commit

diff --git a/clean.py b/clean.py
new file mode 100755
index 0000000..2f8e4cb
--- /dev/null
+++ b/clean.py
@@ -0,0 +1,93 @@
+#!/home/enigma/.virtualenvs/gpx_clean/bin/python
+
+import sys
+
+import numpy as np
+import gpxpy
+
+
+def clean_segment(segment, badness=4):
+    """Lazily strip out anything not in IQR"""
+    new_points = []
+    speeds = []
+    for index, point in enumerate(segment.points[1:]):
+        prev = segment.points[index-1]
+        if point.time == prev.time:
+            continue
+        speeds.append(point.distance_2d(prev) / (point.time - prev.time).total_seconds())
+    # Calculate IQR
+    if not speeds:
+        return
+    speeds.sort()
+    speed_mean = np.mean(speeds)
+    speed_mu = np.std(speeds)
+    if speed_mean * 3.6 < 5:
+        speed_mean = 5 / 3.6
+    def Z(speed):
+        return (speed - speed_mean) / speed_mu
+    on_bad = False
+    new_points = [segment.points[0]]
+    bad_set = []
+    last_good = None
+    for index, point in enumerate(segment.points[1:]):
+        if len(bad_set) > 10:
+            new_points.extend(bad_set)
+            bad_set = []
+            on_bad = False
+        if on_bad:
+            prev = bad_set[0]
+        else:
+            prev = segment.points[index-1]
+        speed = point.distance_2d(prev) / (point.time - prev.time).total_seconds()
+        this_bad = Z(speed)
+        if on_bad:
+            if this_bad >= badness:
+                # See if this large shift puts us back on track
+                new_speed = last_good.distance_2d(point) / (last_good.time - point.time).total_seconds()
+                if this_bad < badness:
+                    # We're going to go back, so discard this bad set
+                    bad_set = []
+                    on_bad = False
+            else:
+                bad_set.append(point)
+        else:
+            if this_bad >= badness:
+                bad_set.append(point)
+                on_bad = True
+                last_good = prev
+            else:
+                new_points.append(point)
+    #print(f"Starting with {len(segment.points)} pts, now have {len(new_points)}")
+    segment.points = new_points
+
+
+def clean_track(track):
+    for segment in track.segments:
+        clean_segment(segment)
+
+
+def show_moving_data(pre, md):
+    speed = md.moving_distance / md.moving_time * 3.6
+    print(f"{pre}: Moved at {speed:.2f} km/h")
+
+
+def clean_gpx(gpx):
+    for track in gpx.tracks:
+        clean_track(track)
+
+
+def clean_file(filename):
+    with open(filename, 'r') as infile:
+        gpx = gpxpy.parse(infile)
+        md = gpx.get_moving_data()
+        show_moving_data("Before clean", md)
+        clean_gpx(gpx)
+        md = gpx.get_moving_data()
+        show_moving_data("After clean", md)
+    with open(f"{filename[:-4]}_cleaned.gpx", "w") as outfile:
+        outfile.write(gpx.to_xml())
+
+
+if __name__ == "__main__":
+    for filename in sys.argv[1:]:
+        clean_file(filename)
diff --git a/gpx_stats.py b/gpx_stats.py
new file mode 100755
index 0000000..2b968b0
--- /dev/null
+++ b/gpx_stats.py
@@ -0,0 +1,472 @@
+#!/home/enigma/.virtualenvs/gpx_clean/bin/python
+
+import configparser
+from collections import defaultdict
+import datetime
+import io
+import json
+import os
+import os.path
+from pathlib import Path
+import re
+import sqlite3
+import sys
+
+import matplotlib.pyplot as plt
+import matplotlib.dates as dates
+import numpy as np
+import gpxpy
+from xdg import xdg_config_home
+
+from clean import clean_gpx
+
+class flike():
+    def __init__(self):
+        self.internal = ""
+
+    def write(self, string):
+        self.internal += string
+
+
+
+CREATE_SQL = """CREATE TABLE IF NOT EXISTS cache(
+filename text PRIMARY KEY, distance numeric, time numeric, speed numeric, date timestamp)"""
+
+SELECT_SQL = """SELECT distance, time, speed, date FROM cache
+WHERE filename = ?"""
+
+SELECT_PERIOD_SQL = """SELECT distance, time, speed, date FROM cache
+WHERE date >= ? AND date <= ? ORDER BY date ASC"""
+
+
+INSERT_SQL = """INSERT OR REPLACE INTO cache(filename, distance, time, speed, date)
+values (?, ?, ?, ?, ?)"""
+
+RESCAN = False
+
+def date_from_str(date_str):
+    date_str = date_str[:22] + date_str[-2:]
+    try:
+        date = datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S%z')
+    except ValueError:
+        try:
+            date = datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S.%f%z')
+        except ValueError:
+            date = datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S.%f')
+    return date
+
+
+def get_file_details(filename):
+    con = sqlite3.connect(xdg_config_home() / 'gpx_clean' / 'cache.sqlite3')
+    con.execute(CREATE_SQL)
+    if not RESCAN:
+        for row in con.execute(SELECT_SQL, (filename,)):
+            return row[0], row[1], row[2], row[3]
+    with open(filename, 'r') as infile:
+        gpx = gpxpy.parse(infile)
+    start, end = gpx.get_time_bounds()
+    if not start or not end:
+        return
+    if (end - start).total_seconds() < 60:
+        return
+    clean_gpx(gpx)
+    md = gpx.get_moving_data()
+    distance = md.moving_distance / 1000
+    time = md.moving_time
+    if time == 0:
+        return
+    speed = distance / (time / 3600)
+    con.execute(INSERT_SQL, (filename, distance, time, speed, start))
+    con.commit()
+    return distance, time, speed, start
+
+
+def reset():
+    for exer in TRACKED:
+        exer['distance'] = 0.0
+        exer['time'] = 0
+
+
+def check_file(filename):
+    try:
+        distance, time, speed, date = get_file_details(filename)
+    except TypeError:
+        sys.stderr.write(f"Error parsing \"{filename}\"\n")
+        return
+    for exer in TRACKED:
+        if 'maxspeed' in exer and speed > exer['maxspeed']:
+            #print(f"Not {exer['name']} as too fast: {filename}")
+            continue
+        if 'minspeed' in exer and speed < exer['minspeed']:
+            #print(f"Not {exer['name']} as too fast: {filename}")
+            continue
+        if 'maxdist' in exer and distance > exer['maxdist']:
+            #print(f"Not {exer['name']} as too long: {filename}")
+            continue
+        exer['distance'] += distance
+        exer['time'] += time
+        return
+
+
+def exer_type(distance, time, speed, date):
+    for exer in TRACKED:
+        if 'maxspeed' in exer and speed > exer['maxspeed']:
+            #print(f"Not {exer['name']} as too fast: {filename}")
+            continue
+        if 'minspeed' in exer and speed < exer['minspeed']:
+            #print(f"Not {exer['name']} as too fast: {filename}")
+            continue
+        if 'maxdist' in exer and distance > exer['maxdist']:
+            #print(f"Not {exer['name']} as too long: {filename}")
+            continue
+        return exer['describe']
+    raise Exception('Could not determine exercise type')
+
+
+def walk(location):
+    for root, dirs, files in os.walk(location):
+        for filename in files:
+            if filename[-4:] == ".gpx":
+                check_file(os.path.join(root, filename))
+
+
+def make_pretty_td(seconds):
+    string = ""
+    minutes, seconds = divmod(int(seconds), 60)
+    hours, minutes = divmod(minutes, 60)
+    if hours > 0:
+        string += f"{hours}h, "
+    if hours + minutes > 0:
+        string += f"{minutes:02}m, "
+    string += f"{seconds:02}s"
+    return f"{string:13}"
+
+
+def summarise(descr=""):
+    for exer in TRACKED:
+        duration = exer['time']
+        if duration < 60:
+            continue
+        time = make_pretty_td(duration)
+        speed = exer['distance'] / (exer['time'] / 3600)
+        s = f"{exer['describe']:7} {exer['distance']:6.2f} km in {time} ({speed:>5.2f} km/h)"
+        if descr:
+            s += f" ({descr})"
+        print(s)
+
+
+WIDTH=0.2
+SPACE=0.05
+
+
+def plt_line(data, axes, desc, nbins=31):
+    bins = range(nbins)
+    bins = np.append(bins, [np.inf])
+    if not data:
+        return
+    days=[x[0] for x in data]
+    weights=[x[1] for x in data]
+    axes.hist(days,
+              bins=bins,
+              weights=weights,
+              cumulative=True,
+              histtype='step',
+              label=desc)
+
+def _linedata(mode, start, end):
+    data = {}
+    for exer in TRACKED:
+        data[exer['describe']] = []
+    con = sqlite3.connect(xdg_config_home() / 'gpx_clean' / 'cache.sqlite3')
+    cursor = con.cursor()
+    end = datetime.datetime(end.year, end.month, end.day, 23, 59, 59)
+    cursor.execute(SELECT_PERIOD_SQL, (start, end))
+    lastday = 0
+    for row in cursor.fetchall():
+        dist, time, speed, date_str = row
+        try:
+            date = datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S%z')
+        except ValueError:
+            date = datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S.%f%z')
+        number = date.timetuple().tm_yday
+        lastday = max(number, lastday)
+        if mode == 'time':
+            value = time / 3600
+        else:
+            value = dist
+        data[exer_type(dist, time, speed, date)].append([number, value])
+    return data, lastday
+
+
+def lines(mode='distance', duration='thismonth'):
+    plt.style.use('dark_background')
+    fig = plt.figure(figsize=(12,6))
+    ax = fig.subplots()
+    data, lastday = _linedata(mode,
+                              datetime.date.today().replace(day=1).replace(month=1),
+                              datetime.date.today() + datetime.timedelta(days=1),
+                              )
+    for exer in TRACKED:
+        plt_line(data[exer['describe']], ax, exer['describe'], nbins=lastday)
+    data, lastday = _linedata(mode,
+                              (datetime.date.today().replace(day=1).replace(month=1)
+                              - datetime.timedelta(days=1)).replace(day=1).replace(month=1),
+                              datetime.date.today().replace(day=1).replace(month=1)
+                              - datetime.timedelta(days=1),
+                              )
+    for exer in TRACKED:
+        plt_line(data[exer['describe']], ax, exer['describe'] + " (prev. year)", nbins=lastday)
+    ax.legend(loc='upper left')
+
+    ax2 = ax.twiny()
+
+    # Time hierarchy: Month / day (1/15), then day (8/22)
+    # Axis 2: Month
+    ax2.xaxis.set_major_locator(dates.MonthLocator())
+    ax2.xaxis.set_major_formatter(dates.DateFormatter('%b'))
+
+    # Axis 1: Major (Days 1/15)
+    ax.xaxis.set_major_locator(dates.DayLocator(bymonthday=[1, 15]))
+    ax.xaxis.set_major_formatter(dates.DateFormatter('%-d'))
+    ax.xaxis.set_tick_params(labelsize=8)
+    #ax.set_xlim(datetime.date.today().replace(day=1).replace(month=1),
+    #            (datetime.date.today() + datetime.timedelta(days=365)).replace(day=1,month=1))
+    ax.set_xlim(0, 366)
+
+    # Axis 1: Minor (Days 8 / 22)
+    ax.xaxis.set_minor_locator(dates.DayLocator(bymonthday=[8, 22]))
+    ax.xaxis.set_minor_formatter(dates.DateFormatter('%-d'))
+    ax.xaxis.set_tick_params(which="minor", labelsize=5)
+
+    # This is a lot of work just to move the second axis to the bottom
+    # of the chart (we made room for it with subplots_adjust above)
+    ax2.set_xlim(ax.get_xlim())
+    ax2.spines["bottom"].set_position(("axes", -0.05))  # position of text.
+    ax2.spines["bottom"].set_visible(False)  # don't show the axis line
+    ax2.xaxis.set_ticks_position("bottom")
+    ax2.xaxis.set_label_position("bottom")
+    #ax2.xaxis.set_tick_params(grid_visible=False)  # already have ax's grid
+    ax2.xaxis.set_tick_params(bottom=False, top=False)  # already have ax's grid
+    for label in ax2.xaxis.get_ticklabels():
+        label.set_horizontalalignment('left')
+    # ax2.patch.set_visible(False)
+    # for sp in ax2.spines.values(): sp.set_visible(False)
+
+
+    if mode == "time":
+        ax.set_title('Tracked time (hours)')
+    else:
+        ax.set_title('Tracked distance (km)')
+    svg = io.StringIO()
+    fig.savefig(svg, format="svg")
+    print(svg.getvalue())
+
+
+WIDTH=0.2
+SPACE=0.05
+
+
+def plt_bar(data, axes, desc, start):
+    x = np.arange(len(data.keys()))
+    bars = axes.bar(x+start,
+                    list(data.values()),
+                    width=WIDTH,
+                    tick_label=list(data.keys()),
+                    label=desc)
+    return bars
+
+
+def bars(mode='distance', num_months=12):
+    dists = defaultdict(lambda: defaultdict(int))
+    times = defaultdict(lambda: defaultdict(int))
+    start = datetime.date.today().replace(day=1)
+    for _ in range(num_months - 1):
+        # Back one day to previous month
+        start -= datetime.timedelta(days=1)
+        # And set day to 1
+        start = start.replace(day=1)
+    # Now ready to print
+    for _ in range(num_months):
+        end = (start + datetime.timedelta(days=32)).replace(day=1) - datetime.timedelta(days=1)
+        con = sqlite3.connect(xdg_config_home() / 'gpx_clean' / 'cache.sqlite3')
+        cursor = con.cursor()
+        end = datetime.datetime(end.year, end.month, end.day, 23, 59, 59)
+        cursor.execute(SELECT_PERIOD_SQL, (start, end))
+        for row in cursor.fetchall():
+            dist, time, speed, date_str = row
+            date = date_from_str(date_str) #datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S%z')
+            month = date.strftime("%b")
+            dists[exer_type(dist, time, speed, date)][month] += dist
+            times[exer_type(dist, time, speed, date)][month] += time / 3600
+            start = end + datetime.timedelta(days=1)
+    if mode == 'distance':
+        data = dists
+    elif mode == 'time':
+        data = times
+    total_width = len(data.keys())*WIDTH + (len(data.keys())-1)*SPACE
+    start = -(total_width)/2
+    plt.style.use('dark_background')
+    fig, ax = plt.subplots(figsize=(12,6))
+    for exer in TRACKED:
+        if sum(data[exer['describe']].values()) == 0:
+            continue
+        bars = plt_bar(data[exer['describe']], ax, exer['describe'], start)
+        start += WIDTH + SPACE
+    last = data[TRACKED[-1]['describe']]
+    x = np.arange(len(last.keys()))
+    ax.set_xticks(x - WIDTH/2)
+    ax.set_xticklabels(list(last.keys()))
+    ax.legend()
+    if mode == "time":
+        ax.set_title('Tracked time (hours)')
+    else:
+        ax.set_title('Tracked distance (km)')
+    svg = io.StringIO()
+    fig.savefig(svg, format="svg")
+    print(svg.getvalue())
+
+
+def textout(start=datetime.date.today().replace(day=1), end=(datetime.date.today().replace(day=1) + datetime.timedelta(days=32)).replace(day=1) - datetime.timedelta(days=1), each=False):
+    dists = defaultdict(int)
+    times = defaultdict(int)
+    con = sqlite3.connect(xdg_config_home() / 'gpx_clean' / 'cache.sqlite3')
+    cursor = con.cursor()
+    # End should be end of day
+    end = datetime.datetime(end.year, end.month, end.day, 23, 59, 59)
+    cursor.execute(SELECT_PERIOD_SQL, (start, end))
+    for row in cursor.fetchall():
+        dist, time, speed, date_str = row
+        date_str = date_str[:22] + date_str[-2:]
+        try:
+            date = datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S%z')
+        except ValueError:
+            try:
+                date = datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S.%f%z')
+            except ValueError:
+                date = datetime.datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S.%f')
+        if each:
+            s = f"{exer_type(dist, time, speed, date):7} on {date.strftime('%d %b, %H:%M')} {dist:6.2f} km in {make_pretty_td(time)} ({speed:>5.2f} km/h)"
+            print(s)
+        else:
+            dists[exer_type(dist, time, speed, date)] += dist
+            times[exer_type(dist, time, speed, date)] += time
+    for exer in TRACKED:
+        duration = times[exer['describe']]
+        if duration < 60:
+            continue
+        time = make_pretty_td(duration)
+        speed = dists[exer['describe']] / (duration / 3600)
+        s = f"{exer['describe']:7} {dists[exer['describe']]:6.2f} km in {time} ({speed:>5.2f} km/h)"
+        print(s)
+
+
+OPENTRACKS_RE = re.compile(r'^(\d{4})-(\d{2})-(\d{2})')
+
+def move_files(directory):
+    """For each file in the directory (not in subdirectories!) put it into a
+    subfolder for year / month (i.e. 2023/03/)
+    """
+    root = Path(directory)
+    with os.scandir(root) as it:
+        for entry in it:
+            if not entry.is_file():
+                continue
+            if entry.stat().st_size == 0 and entry.name.endswith(".gpx"):
+                os.remove(entry)
+                print(f"WARNING: Removing empty file {entry.name}")
+                continue
+            if match := OPENTRACKS_RE.search(entry.name):
+                year = Path(match.group(1))
+                month = Path(match.group(2))
+                if not (root / year).is_dir():
+                    os.mkdir(root / year)
+                if not (root / year / month).is_dir():
+                    os.mkdir(root / year / month)
+                os.rename(entry, root / year / month / entry.name)
+
+
+try:
+    with open(xdg_config_home() / 'gpx_clean' / 'track.json', 'r') as infile:
+        everything = json.load(infile)
+        TRACKED = everything["modes"]
+except FileNotFoundError as e:
+    print("Could not find any tracking info in {e.msg}")
+    raise e
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG['main'] = {}
+
+try:
+    CONFIG.read(xdg_config_home() / 'gpx_clean' / 'config.ini')
+except FileNotFoundError as e:
+    print("Could not find the config file, please create one and specify a data directory")
+    raise e
+
+if 'datadir' not in CONFIG['main']:
+    raise Exception("Could not find the data directory in the config file")
+
+
+if __name__ == "__main__":
+    # Move files that are just in the data dir, not subdirectories
+    move_files(CONFIG['main']['datadir'])
+    if len(sys.argv) >= 2:
+        if sys.argv[1] == "--rescan":
+            RESCAN = True
+        # TODO Do a scan of the data dir, complete
+        walk(CONFIG['main']['datadir'])
+        if sys.argv[1] == "bars":
+            if sys.argv[2] == "time":
+                bars('time')
+            else:
+                bars('distance')
+        elif sys.argv[1] == "lines":
+            if len(sys.argv) > 3:
+                exer_types = sys.argv[3]
+            else:
+                exer_types = None
+            if len(sys.argv) > 2 and sys.argv[2] == "time":
+                lines('time')
+            else:
+                lines('distance')
+        elif sys.argv[1] == "monthly":
+            NUM_MONTHS = 13
+            start = datetime.date.today().replace(day=1)
+            for _ in range(NUM_MONTHS - 1):
+                # Back one day to previous month
+                start -= datetime.timedelta(days=1)
+                # And set day to 1
+                start = start.replace(day=1)
+            # Now ready to print
+            for _ in range(NUM_MONTHS):
+                print(f"Summary for {start.strftime('%b')} {start.year}")
+                end = (start + datetime.timedelta(days=32)).replace(day=1) - datetime.timedelta(days=1)
+                textout(start, end)
+                start = end + datetime.timedelta(days=1)
+        elif sys.argv[1] == "yearly":
+            NUM_YEARS = 5
+            start = datetime.date.today().replace(day=1).replace(month=1)
+            for _ in range(NUM_YEARS - 1):
+                # Back one day to previous year
+                start -= datetime.timedelta(days=1)
+                # And set day to 1
+                start = start.replace(day=1).replace(month=1)
+            # Now ready to print
+            for _ in range(NUM_YEARS):
+                print(f"Summary for {start.year}")
+                end = (start + datetime.timedelta(days=367)).replace(day=1) - datetime.timedelta(days=1)
+                textout(start, end)
+                start = end + datetime.timedelta(days=1)
+        elif sys.argv[1] == "month":
+            start = None
+            if len(sys.argv) >= 3:
+                try:
+                    d = datetime.datetime.strptime(sys.argv[2], '%b')
+                    start = datetime.date.today().replace(month=d.month).replace(day=1)
+                except ValueError:
+                    d = datetime.datetime.strptime(sys.argv[2], '%B')
+                    start = datetime.date.today().replace(month=d.month).replace(day=1)
+            if start is None:
+                start = datetime.date.today().replace(day=1)
+            end = (start + datetime.timedelta(days=32)).replace(day=1) - datetime.timedelta(days=1)
+            textout(start, end, each=True)
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..391ec14
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,3 @@
+gpxpy
+matplotlib
+xdg