import without stroke data now works

rowers/dataprepnodjango.py

@@ -131,6 +131,102 @@ def rdata(file,rower=rrower()):
 
     return res
 
+
+def totaltime_sec_to_string(totaltime):
+    hours = int(totaltime / 3600.)
+    if hours > 23:
+        message = 'Warning: The workout duration was longer than 23 hours. '
+        hours = 23
+
+    minutes = int((totaltime - 3600. * hours) / 60.)
+    if minutes > 59:
+        minutes = 59
+        if not message:
+            message = 'Warning: there is something wrong with the workout duration'
+
+    seconds = int(totaltime - 3600. * hours - 60. * minutes)
+    if seconds > 59:
+        seconds = 59
+        if not message:
+            message = 'Warning: there is something wrong with the workout duration'
+
+    tenths = int(10 * (totaltime - 3600. * hours - 60. * minutes - seconds))
+    if tenths > 9:
+        tenths = 9
+        if not message:
+            message = 'Warning: there is something wrong with the workout duration'
+
+    duration = "%s:%s:%s.%s" % (hours, minutes, seconds, tenths)
+
+    return duration
+
+# Creates C2 stroke data
+def create_c2_stroke_data_db(
+        distance,duration,workouttype,
+        workoutid,starttimeunix,csvfilename,debug=False):
+
+    nr_strokes = int(distance/10.)
+
+
+    totalseconds = duration.hour*3600.
+    totalseconds += duration.minute*60.
+    totalseconds += duration.second
+    totalseconds += duration.microsecond/1.e6
+
+    
+    spm = 60.*nr_strokes/totalseconds
+    
+    step = totalseconds/float(nr_strokes)
+
+    elapsed = np.arange(nr_strokes)*totalseconds/(float(nr_strokes-1))
+
+    dstep = distance/float(nr_strokes)
+
+    d = np.arange(nr_strokes)*distance/(float(nr_strokes-1))
+
+    unixtime = starttimeunix + elapsed
+
+    pace = 500.*totalseconds/distance
+
+    if workouttype in ['rower','slides','dynamic']:
+        velo = distance/totalseconds
+        power = 2.8*velo**3
+    else:
+        power = 0
+
+        
+    df = pd.DataFrame({
+        'TimeStamp (sec)': unixtime,
+	' Horizontal (meters)': d,
+        ' Cadence (stokes/min)': spm,
+        ' Stroke500mPace (sec/500m)':pace,
+        ' ElapsedTime (sec)':elapsed,
+        ' Power (watts)':power,
+	' HRCur (bpm)':np.zeros(nr_strokes),
+	' longitude':np.zeros(nr_strokes),
+	' latitude':np.zeros(nr_strokes),
+	' DragFactor':np.zeros(nr_strokes),
+	' DriveLength (meters)':np.zeros(nr_strokes),
+	' StrokeDistance (meters)':np.zeros(nr_strokes),
+	' 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),
+        'cum_dist': d
+    })
+
+    timestr = strftime("%Y%m%d-%H%M%S")
+
+    df[' ElapsedTime (sec)'] = df['TimeStamp (sec)']
+
+    res =  df.to_csv(csvfilename,index_label='index',
+                     compression='gzip')
+
+    data = dataprep(df,id=workoutid,bands=False,debug=debug)
+
+    return data
+
 # Saves C2 stroke data to CSV and database
 def add_c2_stroke_data_db(strokedata,workoutid,starttimeunix,csvfilename,
                           debug=False):