def getTrackBounds(filename):
extension = os.path.splitext(filename)[1]
print("at -getTrackBounds-", extension)
if 'gpx' in extension:
df = gpxtricks.GPXtoDataFrame(filename)
elif 'tcx' in extension:
df = gpxtricks.TCXtoDataFrame(filename)
return gpxtricks.getTrackBounds(df)
def getTrainingData(filename, skip=False):
""" Returns dict with summary of training data """
extension = os.path.splitext(filename)[1]
if 'gpx' in extension:
df = gpxtricks.GPXtoDataFrame(filename)
elif 'tcx' in extension:
df = gpxtricks.TCXtoDataFrame(filename)
gpxdict = gpxtricks.getmainInfo(df)
gpxdict['filename'] = os.path.basename(filename)
# Remove some kommunetopp specific details.
del gpxdict['elediff']
del gpxdict['climbingrate']
del gpxdict['steepness']
del gpxdict['stop_time']
del gpxdict['kupert_faktor']
del gpxdict['pause_faktor']
del gpxdict['topptur_faktor']
# Add some empty columns for spreadsheet
gpxdict['comment'] = ''
gpxdict['health'] = ''
gpxdict['activity'] = ''
# Add hr data if any
zonelist = ['sone1', 'sone2', 'sone3', 'sone4', 'sone5']
hrdata = gpxtricks.heartZone(df)
if hrdata != -1:
for i, item in enumerate(zonelist):
gpxdict[item] = hrdata[i]
else:
for item in zonelist:
gpxdict[item] = ''
# Add best speed data
bt = gpxtricks.findBestTempo2(df)
bt2 = dict()
for itm in bt:
bt2['speed_{:0>5}'.format(itm)] = float('{:.2f}'.format(bt[itm][0] *
3.6))
gpxdict.update(bt2)
print(gpxdict)
if not skip:
gpxtricks.plotHeartZone(df, 'C:/python/resc/pRect2.png')
gpxtricks.plotElevationProfile2(df,
'C:/python/resc/elevationProfile.png')
gpxtricks.plotSpeedProfile(df, 'C:/python/resc/speedProfile.png')
gpxtricks.plotHeartrateProfile(df, 'C:/python/resc/hrProfile.png')
return gpxdict
def getTrackData(filename):
extension = os.path.splitext(filename)[1]
print("at -getTrackData-", extension)
if 'gpx' in extension:
df = gpxtricks.GPXtoDataFrame(filename)
elif 'tcx' in extension:
df = gpxtricks.TCXtoDataFrame(filename)
df_dat = gpxtricks.exportRedPoints(df)
print(df_dat)
return df_dat
def segmentAnalyzer(filename, segList):
""" Reset for new file"""
for seg in segList:
seg.resetCounter()
try:
df = gpxtricks.GPXtoDataFrame(filename)
except:
df = gpxtricks.TCXtoDataFrame(filename)
p1 = list(df.iloc[0][['lat', 'lon', 'time']])
for row in df.iterrows():
p2 = [row[1]['lat'], row[1]['lon'], row[1]['time']]
if p2[0] != 0.0 and p2[1] != 0.0:
for seg in segList:
seg.runNewPoint(filename, p1, p2)
p1 = p2
def toPointCloud(datafolder, outputfile):
i = 0
for filename in glob.glob(datafolder):
if os.path.isfile(filename):
f = open(outputfile, 'a')
else:
f = open(outputfile, 'w')
print(filename)
extension = os.path.splitext(filename)[1]
if 'gpx' in extension:
df = gpxtricks.GPXtoDataFrame(filename)
elif 'tcx' in extension:
df = gpxtricks.TCXtoDataFrame(filename)
for row in df.iterrows():
if row[1].lat > 10:
s = '{};{};{}\n'.format(i, row[1].lat, row[1].lon)
i += 1
f.write(s)
f.close()
def createWebpages():
""" Load the rapport template """
my_dir = os.path.dirname(__file__)
template_dir = os.path.join(my_dir, 'res\\templates')
myloader = FileSystemLoader(template_dir)
env = Environment(loader=myloader)
template_rapport = env.get_template('template_rapport.html')
template_stat = env.get_template('template_stat.html')
template_stat_expl = env.get_template('template_stat_forklaring.html')
besteget = gpxtricks.get_besteget_kommuner(
my_dir +
'\\res\\kommunetopplisteV2.xml') # links to previous and next kommune.
bC = 2
kommune_selected = gpxtricks.get_selected_kommune(
my_dir + '\\res\\kommunetopplisteV2.xml')
## Create a dict for each kommune
komm_data = []
# Create placeholders for tot stat data
totstat = createTotStat()
# Create placeholders for individual stat
stat = createDetailedStat()
for kom in gpxtricks.readkommunexml(my_dir +
'\\res\\kommunetopplisteV2.xml'):
# links to previuous and next kommune, updated select list,
kom['neste_kommune'] = besteget[bC]
kom['forrige_kommune'] = besteget[bC - 2]
bC += 1
print(kom)
kom['select_fylkeliste'] = gpxtricks.get_selected_fylke(
kom['kommunenr'])
kom['select_kommuneliste'] = kommune_selected
if kom['besteget'] == 'True':
totstat['tot_antall_besteget'] += 1
# Info from GPX file, if the file exist
gpxfile = my_dir + "\\res\\gpx\\{0}.gpx".format(kom['kommunenr'])
if os.path.isfile(gpxfile):
gpx_df = gpxtricks.GPXtoDataFrame(gpxfile)
kom['stoplocations'] = gpxtricks.exportStopLoc(gpx_df)
kom['tripcoordinates'] = gpxtricks.exportRedPoints(gpx_df)
gpxtricks.plotElevationProfile(
gpx_df,
'C:\\python\\kommuner\\outdata\\profile2\\{}.png'.format(
kom['kommunenr']))
mainInfo = gpxtricks.getmainInfo(gpx_df)
kom.update(mainInfo)
stat = updateDetailedStat(stat, mainInfo, kom)
totstat['tot_length'] += mainInfo['length']
totstat['tot_elevation'] += mainInfo['climbing']
totstat['tot_tottid'] += mainInfo['tottime']
else:
gpxfile_ex = my_dir + "\\res\\gpx\\{0}_ex.gpx".format(
kom['kommunenr'])
if os.path.isfile(gpxfile_ex):
gpx_df = gpxtricks.GPXtoDataFrame(gpxfile_ex)
kom['stoplocations'] = gpxtricks.exportStopLoc(gpx_df)
kom['tripcoordinates'] = gpxtricks.exportRedPoints(gpx_df)
gpxtricks.plotElevationProfile(
gpx_df,
'C:\\python\\kommuner\\outdata\\profile2\\{}.png'.format(
kom['kommunenr']))
mainInfo = gpxtricks.getmainInfo(gpx_df)
kom.update(mainInfo)
stat = updateDetailedStat(stat, mainInfo, kom)
komm_data.append(kom)
print(kom['kommunenavn'])
totstat1 = modTotStat(totstat)
siste_rapporter = siste_rapporter_HTML(stat['Dato'])
# Creating the actual reports
print("Starting creating reports!")
for komm in komm_data:
komm.update(totstat1)
komm.update(siste_rapporter)
file = open('C:\\python\\kommuner\\outdata\\{}.html'.format(
komm['kommunenr']),
'w',
encoding='utf-8')
file.write(template_rapport.render(komm))
file.close()
print("Finished creating reports!")
# Lage forklaring til statistikk sidene.
newStatExpl = dict()
newStatExpl['select_fylkeliste'] = gpxtricks.get_selected_fylke('00')
newStatExpl['select_kommuneliste'] = kommune_selected
newStatExpl.update(totstat1)
newStatExpl.update(siste_rapporter)
file = open('C:\\python\\kommuner\\outdata\\stat_forklaring.html',
'w',
encoding='utf-8')
newStat = dict()
newStat['stat_select_list'] = select_statistikk_overskrifter()
newStat.update(totstat1)
newStat.update(siste_rapporter)
for i, key in enumerate(statistikk_overskrifter()):
newStat['stat_overskrift'] = key
newStat['stat_detaljer'] = create_stat_details(stat[key])
newStat['stat_komm_grenser'] = create_stat_komm_grenser(stat[key])
file = open('C:\\python\\kommuner\\outdata\\stat{:0>2}.html'.format(i),
'w',
encoding='utf-8')
file.write(template_stat.render(newStat))
file.close()