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not working yet, need to complete in tasks.py

This commit is contained in:
Sander Roosendaal
2018-06-22 16:45:19 +02:00
parent 486f47bbb4
commit 80cbcb9512
4 changed files with 236 additions and 2 deletions

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@@ -77,6 +77,105 @@ def add(x, y):
return x + y
@app.task
def handle_strava_import_stroke_data(stravatoken,
stravaid,workoutid,
starttimeunix,
csvfilename,debug=True,**kwargs):
# ready to fetch. Hurray
fetchresolution = 'high'
series_type = 'time'
authorizationstring = str('Bearer ' + r.stravatoken)
headers = {'Authorization': authorizationstring,
'user-agent': 'sanderroosendaal',
'Content-Type': 'application/json',
'resolution': 'medium',}
url = "https://www.strava.com/api/v3/activities/"+str(stravaid)
workoutsummary = requests.get(url,headers=headers).json()
workoutsummary['timezone'] = "Etc/UTC"
startdatetime = workoutsummary['start_date']
url = "https://www.strava.com/api/v3/activities/"+str(stravaid)+"/streams/cadence?resolution="+fetchresolution+"&series_type="+series_type
spmjson = requests.get(url,headers=headers)
url = "https://www.strava.com/api/v3/activities/"+str(stravaid)+"/streams/heartrate?resolution="+fetchresolution+"&series_type="+series_type
hrjson = requests.get(url,headers=headers)
url = "https://www.strava.com/api/v3/activities/"+str(stravaid)+"/streams/time?resolution="+fetchresolution+"&series_type="+series_type
timejson = requests.get(url,headers=headers)
url = "https://www.strava.com/api/v3/activities/"+str(stravaid)+"/streams/velocity_smooth?resolution="+fetchresolution+"&series_type="+series_type
velojson = requests.get(url,headers=headers)
url = "https://www.strava.com/api/v3/activities/"+str(stravaid)+"/streams/distance?resolution="+fetchresolution+"&series_type="+series_type
distancejson = requests.get(url,headers=headers)
url = "https://www.strava.com/api/v3/activities/"+str(stravaid)+"/streams/latlng?resolution="+fetchresolution+"&series_type="+series_type
latlongjson = requests.get(url,headers=headers)
try:
t = np.array(timejson.json()[0]['data'])
nr_rows = len(t)
d = np.array(distancejson.json()[1]['data'])
if nr_rows == 0:
return (0,"Error: Time data had zero length")
except IndexError:
d = 0*t
# return (0,"Error: No Distance information in the Strava data")
except KeyError:
return (0,"something went wrong with the Strava import")
try:
spm = np.array(spmjson.json()[1]['data'])
except:
spm = np.zeros(nr_rows)
try:
hr = np.array(hrjson.json()[1]['data'])
except IndexError:
hr = np.zeros(nr_rows)
except KeyError:
hr = np.zeros(nr_rows)
try:
velo = np.array(velojson.json()[1]['data'])
except IndexError:
velo = np.zeros(nr_rows)
except KeyError:
velo = np.zeros(nr_rows)
dt = np.diff(t).mean()
wsize = round(5./dt)
velo2 = ewmovingaverage(velo,wsize)
coords = np.array(latlongjson.json()[0]['data'])
try:
lat = coords[:,0]
lon = coords[:,1]
except IndexError:
lat = np.zeros(len(t))
lon = np.zeros(len(t))
except KeyError:
lat = np.zeros(len(t))
lon = np.zeros(len(t))
strokelength = velo*60./(spm)
strokelength[np.isinf(strokelength)] = 0.0
pace = 500./(1.0*velo2)
pace[np.isinf(pace)] = 0.0
df = pd.DataFrame({'t':10*t,
'd':10*d,
'p':10*pace,
'spm':spm,
'hr':hr,
'lat':lat,
'lon':lon,
'strokelength':strokelength,
})
# startdatetime = datetime.datetime.strptime(startdatetime,"%Y-%m-%d-%H:%M:%S")
return [workoutsummary,df]
@app.task
def handle_c2_import_stroke_data(c2token,
c2id,workoutid,