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#!/usr/bin/python3
from __future__ import print_function
# Simple script to convert GPX logs to OpenSteetMap for easy importation.
# Sets some basic defaults to speed up the process a bit.
# Author David Bannon but borrows heavily from a perl script by Markus Bauer
import sys, os, datetime, subprocess
import argparse
TagHighway = "\t\t<tag k='highway' v='road' />\n"
TagSurface = "\t\t<tag k='surface' v='unpaved' />\n"
TagTracktype = "\t\t<tag k='tracktype' v='grade3' />\n"
Tag4wd_only = "\t\t<tag k='4wd_only' v='yes' />\n"
TagLanes = "\t\t<tag k='lanes' v='1' />\n"
TagSource = "\t\t<tag k='source' v='survey' />\n"
TagName = "\t\t<tag k='name' v='no name yet' />\n"
HDOP = "10"
# hdop is a measure of how accurate GPS might be, smaller the better.
# Markus used 3.1 but I found that walking tracks with overhead trees
# can easily generate tracks in the 6 range.
# https://wiki.openstreetmap.org/wiki/Converting/NMEA_to_GPX suggests 10
# If you are really careless you can describe HDOP as a multiplier to the
# intrinsic error of the full hardware chain, typically 5 to 8 metres.
# So, again, very careless, HDOP of 10 means an uncertainty of 50 to 80 metres.
def Header():
return "<?xml version='1.0' encoding='UTF-8'?>\n<osm version='0.5' generator='JOSM'>\n";
def TrackTags(): # Useful for all unsealed roads
return TagName + TagHighway + TagTracktype + TagSurface + TagLanes + TagSource
def RoadTags(): # default tag set
return TagName + TagHighway + TagSource
def Footer():
return "\t</way> \n</osm> \n";
def WriteOSM(InFile):
Count = 1;
OF =open(InFile+'.osm', 'w')
OF.write(Header())
IF = open(InFile + '.csv')
for Line in IF:
Pos = Line.split(', ')
Node = "\t<node id='-" + str(Count) + "' visible='true' lat='" + Pos[0] + "' lon='" + Pos[1] + "' />\n"
OF.write(Node)
Count = Count + 1
OF.write("\t<way id='-" + str(Count) + "' action='modify' visible='true'>\n")
for WLine in range(1, Count):
Way = "\t\t<nd ref='-" + str(WLine) + "' />\n"
OF.write(Way);
if args.TRACK:
OF.write(TrackTags())
else:
OF.write(RoadTags())
IF.close
OF.write(Footer())
OF.close
os.unlink(InFile + '.csv')
return Count
def HowManyPoints(FileName):
Count = 0
BadCount = 0
IF = open(FileName)
for Line in IF:
Count = Count + Line.count("<hdop>") # careful, this is case sensitive !
# print("CNT", Count, Line)
HDOPs = Line.split('<hdop>')
for i in HDOPs:
try:
# print("testing ", i, i[:3])
if 10.0 < float(i[:i.find('<')]):
BadCount = BadCount+1
except ValueError:
continue
IF.close
return Count, BadCount
# -------- ------------------------
# -------- Main Function ----------
# ---------------------------------
# use = " %prog [ option ]."
parser = argparse.ArgumentParser(description='convert gpx logs to OSM files')
parser.add_argument('-v', dest='VERBOSE', action='store_true', help='be verbose')
parser.add_argument('-t', dest='TRACK', action='store_true', help='treat it as a track')
parser.add_argument('FileList', metavar='gpxfile', nargs='+', help='some gpx file')
args = parser.parse_args()
for Infile in args.FileList:
Base,ext = os.path.splitext(Infile)
Points, BadPoints = HowManyPoints(Infile)
if BadPoints*2 > Points:
print("Warning,", Infile, " has excessive points with poor HDOP")
if args.VERBOSE:
print(Infile, Points, "points logged", BadPoints, "with excessive HDOP")
Cmd = 'gpsbabel', '-i', 'gpx', '-f', Infile, '-x', 'simplify,error=0.003k', '-x', 'discard,hdop='+HDOP, '-o', 'csv', '-F', Base+'.csv'
try:
Pipe = subprocess.Popen(Cmd, stdout=subprocess.PIPE)
except OSError:
print("Looks like you do not have gpsbabel installed, or maybe not in your path.")
print("Please make gpsbabel available and try again.")
sys.exit()
Lines = Pipe.communicate()[0]
if len(Lines) > 0:
print('Something bad happened, beats me !')
print(Lines)
sys.exit()
if args.VERBOSE:
print(WriteOSM(Base), end=" ")
print("nodes saved")
else:
WriteOSM(Base)
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