def main():
opter = optparse.OptionParser()
opter.add_option("--csv", action="store_true", default = False)
opter.add_option("-a", "--athlete", dest="athlete", type="int")
opts, args = opter.parse_args()
if opts.athlete is None:
aid = myid()
else:
aid = opts.athlete
if len(args) == 0:
sort_key = 'startDate'
elif len(args) > 1:
opter.error("Sort argument must be ...") # FIXME: populate this
else:
sort_key = args[0]
rides = get_ride_infos(aid = aid)
if opts.csv:
headings = sorted(rides[0].keys())
out = []
out.append(show_csv_heading())
for r in rides:
out.append(show_csv(r))
#open("to_r.csv", "w+").write("\n".join(out))
print "\n".join(out)
else:
s = sorted(rides, key = lambda k: k[sort_key])
print "\n\n".join(show_ride(r) for r in s)
def get_ride_infos():
allrides = geturl("http://www.strava.com/api/v1/rides?athleteId=%s" % myid(), cache=False)
rides = []
for r in allrides['rides']:
rid = r['id']
info = geturl("http://www.strava.com/api/v1/rides/%s" % rid)
sortables = {}
sortables['name'] = info['ride']['name']
sortables['averageSpeed'] = info['ride']['averageSpeed'] * (_m/_sec)
sortables['maximumSpeed'] = info['ride']['maximumSpeed'] * (_m/_hour)
sortables['distance'] = info['ride']['distance'] * _m
sortables['movingTime'] = (info['ride']['movingTime'] * _sec).asUnit(_hour)
if info['ride']['averageWatts'] is None:
sortables['averageWatts'] = -1 * _watt
else:
sortables['averageWatts'] = info['ride']['averageWatts'] * _watt
sortables['elevationGain'] = info['ride']['elevationGain'] * _m
rides.append(
sortables)
return rides
import sys
from common import geturl, myid
from unum.units import m as _m, km as _km, mile as _miles, s as _sec, h as _hour, d as _day
import unum
unum.Unum.VALUE_FORMAT = "%.01f"
if len(sys.argv) > 1:
aid = sys.argv[1]
print "Using %s from argument" % aid
else:
aid = myid()
print "Using my athlete ID, %s" % aid
allrides = geturl("http://www.strava.com/api/v1/rides?athleteId=%s" % aid, cache=False)
# Collect ride info, calculate total distance (since sum() dislikes unum objects)
total_dist = 0*_km
for r in allrides['rides']:
rid = r['id']
info = geturl("http://www.strava.com/api/v1/rides/%s" % rid)
if not info['ride']['startDate'].startswith("2012-05-"):
# Only consider rides in May
continue
dist = info['ride']['distance'] * (_m)
"""
import optparse
opter = optparse.OptionParser()
opter.add_option("-a", "--athlete", dest="athlete", type="int")
opter.add_option("-d", "--downsample", dest="downsample", type="int", default=50)
opter.add_option("-o", "--out", dest="out", default="mymap.html")
opter.add_option("-l", "--limit", dest="pagelimit", default=4,
help = "Each page contains 50 rides. -l 4 will download at most 200 rides (starting with the most recent)")
opts, args = opter.parse_args()
if opts.athlete is None:
import common
aid = common.myid()
else:
aid = opts.athlete
def get_ride_info(offset=0):
allrides = geturl("http://www.strava.com/api/v1/rides?athleteId=%s&offset=%s" % (aid, offset), cache=False)
rideinfo = []
for r in allrides['rides']:
print "Processing %s" % r['name']
rid = r['id']
#meta = geturl("http://app.strava.com/api/v1/rides/%s" % rid)
def get_ride_infos(aid):
for x in range(50):
curpage = _get_ride_infos(offset = x*50, aid = aid)
try:
for c in curpage:
yield c
except NoMoreResults:
return
def tcx_date(epoch):
dt = datetime.datetime.fromtimestamp(epoch)
return dt.strftime("%Y-%m-%dT%H:%M:%SZ")
for ride in get_ride_infos(myid()):
fname = "/Users/dbr/Desktop/tcx/ride_%d.tcx" % ride['id']
print "Writing %s" % fname
f = open(fname, "w+")
f.write(prefix.format())
f.write(actvitiy_and_lap_def.format(**ride))
for i, point in enumerate(ride['points']):
point['time'] = tcx_date(epoch = ride['startEpoch'] + point['time'])
point['lat'], point['lng'] = point['latlng']
if 'cadence' in point:
point['cadence'] = "<Cadence>%d</Cadence>" % (point['cadence'])
else:
point['cadence'] = ""
