def getstats(config):
st = Athlete(config.get('StravaTweet', 'rider'))
lastride = st.rides()[0]
if last_tweeted_id(lastride.id, config):
return None
else:
return build_message(lastride, config.get('StravaTweet', 'unit'),
config)
#!/usr/bin/env python
# Athlete is Craig Peters, employee at Strava
# http://app.strava.com/athletes/103227
from strava import Athlete
# First, we set up a Strava Object for the Athlete that we want to query
st = Athlete(103227)
# Once we've gotten the Athlete's object, we can then look at various
# statistics - number of rides and total moving time are shown below.
# By default, we only look at the last 7 days.
print('Ridden %d rides' % st.ride_stats()['rides'])
print('Total moving time: %f minutes' %
(float(st.ride_stats()['moving_time']) / 60.0))
# We can then iterate through the rides, and further through the segments on
# each of those rides, displaying information from each. Ride details are stored
# in metric, so, we need to convert that to get imperial measurements.
for ride in st.rides():
print('Ride name: %s' % ride.name)
# convert from m/s to mph
# m/s * 2.23694 = mph
print('Average speed: %.1f mph' % (ride.detail.average_speed * 2.23694))
print('Average watts: %d' % ride.detail.average_watts)
for segment in ride.segments:
print(' Segment: %s\n Moving Time: %f minutes\n Average '
'Speed: %f mph' %
os.path.join(
"/",
os.path.dirname(os.path.dirname(os.path.dirname(os.path.join(os.path.abspath(__file__))))),
"strava.cfg",
)
)
)
from strava import Athlete
"""
First, we set up a Strava Object for the Athlete that we want to query
We've done this through the Oauth2 tools located in the oauth_setup
directory.
"""
st = Athlete(access_token=config.get("user", "access_token"))
"""
Once we've gotten the Athlete's object, we can then look at various
statistics - number of activities and total moving time are shown below.
By default, we only look at the last 7 days.
"""
# stats = st.activity_stats()
# print('Ridden %d activites' % stats['activities'])
# print('Total moving time: %f minutes' %
# (float(stats['moving_time']) / 60.0))
"""
We can then iterate through the activities, and further through the segments
on each of those activities, displaying information from each. Ride details
