fixed

rowers/tasks.py

@@ -82,148 +82,6 @@ def add(x, y):
     return x + y
 
 
-@app.task
-def handle_strava_import_stroke_data(title,
-                                     useremail,
-                                     stravatoken,
-                                     stravaid,
-                                     starttimeunix,
-                                     csvfilename,debug=True,**kwargs):
-    # ready to fetch. Hurray
-    fetchresolution = 'high'
-    series_type = 'time'
-    authorizationstring = str('Bearer ' + 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']
-
-    r = type('Rower', (object,), {"stravatoken": stravatoken})
-    
-    spmjson = get_strava_stream(r,'cadence',stravaid)
-    hrjson = get_strava_stream(r,'heartrate',stravaid)
-    timejson = get_strava_stream(r,'time',stravaid)
-    velojson = get_strava_stream(r,'velocity_smooth',stravaid)
-    distancejson = get_strava_stream(r,'distance',stravaid)
-    latlongjson = get_strava_stream(r,'latlng',stravaid)
-    wattsjson = get_strava_stream(r,'watts',stravaid)
-
-    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
-    except IndexError:
-        d = 0*t
-        # return (0,"Error: No Distance information in the Strava data")
-    except KeyError:
-        return 0
-
-    try:
-	spm = np.array(spmjson.json()[1]['data'])
-    except:
-	spm = np.zeros(nr_rows)
-
-    try:
-        watts = np.array(wattsjson.json()[1]['data'])
-    except:
-        watts = 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)
-
-    f = np.diff(t).mean()
-    if f != 0:
-        windowsize = 2*(int(10./(f)))+1
-    else:
-        windowsize = 1
-
-    if windowsize > 3 and windowsize < len(velo):
-        velo2 = savgol_filter(velo,windowsize,3)
-    else:
-        velo2 = velo
-        
-    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
-
-    unixtime = starttimeunix+t
-
-    strokedistance = 60.*velo2/spm
-    
-    nr_strokes = len(t)
-
-    df = pd.DataFrame({'TimeStamp (sec)':unixtime,
-                       ' ElapsedTime (sec)':t,
-		       ' Horizontal (meters)':d,
-		       ' Stroke500mPace (sec/500m)':pace,
-		       ' Cadence (stokes/min)':spm,
-		       ' HRCur (bpm)':hr,
-		       ' latitude':lat,
-		       ' longitude':lon,
-		       ' StrokeDistance (meters)':strokelength,
-                       'cum_dist':d,
-	               ' DragFactor':np.zeros(nr_strokes),
-	               ' DriveLength (meters)':np.zeros(nr_strokes),
-	               ' StrokeDistance (meters)':strokedistance,
-	               ' DriveTime (ms)':np.zeros(nr_strokes),
-	               ' StrokeRecoveryTime (ms)':np.zeros(nr_strokes),
-	               ' AverageDriveForce (lbs)':np.zeros(nr_strokes),
-	               ' PeakDriveForce (lbs)':np.zeros(nr_strokes),
-	               ' lapIdx':np.zeros(nr_strokes),
-                       ' Power (watts)':watts,
-    })
-
-
-    df.sort_values(by='TimeStamp (sec)',ascending=True)
-
-    res = df.to_csv(csvfilename,index_label='index')
-
-    d = {
-        'stravaid':stravaid
-        }
-    
-    res = send_template_email(useremail,[workoutemailbox],
-                              title,'workoutemail.html',
-                              d,
-                              attach_file=csvfilename)
-
-
-    time.sleep(1)
-    
-    os.remove(csvfilename)
-
-    return res
     
 
 @app.task