bicycle-statistics/gpx_parser/__init__.py
2020-10-12 17:53:16 +02:00

120 lines
4.1 KiB
Python

import datetime
import glob
import os
import gpxpy
import gpxpy.gpx
from geopy import distance
from geopy import Point
import pandas as pd
class Segment(object):
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):
__distance = dict()
__duration = dict()
__avg_speed = dict()
__tracks = list()
__files = list()
def __init__(self, logger):
self.logger = logger
def add(self, filename):
if filename not in self.__files:
self.logger.info("Adding file %s.", filename)
with open(filename, 'r') as f:
try:
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.__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.__distance[trk_year][trk_month] += track.distance / 1000
if trk_year not in self.__duration:
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}
self.__duration[trk_year][trk_month] += track.duration.total_seconds()
if trk_year not in self.__avg_speed:
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}
self.__avg_speed[trk_year][trk_month] = self.__distance[trk_year][trk_month] / (self.__duration[trk_year][trk_month] / 3600)
self.logger.info("Adding done.")
except Exception as exception:
# TODO: Add logging mechanism.
pass
def years(self):
ret = None
try:
ret = sorted(self.__distance.keys())
except Exception:
pass
return ret
def distances(self, year):
ret = 0
try:
ret = self.__distance[year].values()
except Exception:
pass
return ret
def avg_speeds(self, year):
ret = None
try:
ret = self.__avg_speed[year].values()
except Exception:
pass
return ret
def tracks(self, start_date, end_date):
tracks = list()
dates = pd.date_range(start_date.date(), end_date.date())
for track in self.__tracks:
if track.start_time.date() in dates:
tracks.append(track)
return tracks