small improvements

rowers/dataprepnodjango.py

@@ -1007,7 +1007,10 @@ def dataprep(rowdatadf,id=0,bands=True,barchart=True,otwpower=True,
 
     f = rowdatadf['TimeStamp (sec)'].diff().mean()
     if f != 0:
-        windowsize = 2*(int(10./(f)))+1
+        try:
+            windowsize = 2*(int(10./(f)))+1
+        except ValueError:
+            windowsize = 1
     else:
         windowsize = 1
     if windowsize <= 3:

rowers/tasks.py

@@ -97,6 +97,12 @@ import arrow
 
 from rowers.utils import get_strava_stream
 
+def safetimedelta(x):
+    try:
+        return timedelta(seconds=x)
+    except ValueError:
+        return timedelta(seconds=0)
+
 siteurl = SITE_URL
 
 # testing task
@@ -292,7 +298,7 @@ def handle_check_race_course(self,
     rowdata = rowdata[rowdata['time']>splitsecond]
     # we may want to expand the time (interpolate)
     rowdata['dt'] = rowdata['time'].apply(
-        lambda x: timedelta(seconds=x)
+        lambda x: safetimedelta(seconds=x)
         )
     rowdata = rowdata.resample('100ms',on='dt').mean()
     rowdata = rowdata.interpolate()
@@ -618,7 +624,7 @@ def handle_calctrimp(id,
     
     df2['time'] = df2[' ElapsedTime (sec)']
     df2['time'] = df2['time'].apply(
-        lambda x:timedelta(seconds=x)
+        lambda x:safetimedelta(seconds=x)
         )
 
     duration = df['TimeStamp (sec)'].max()-df['TimeStamp (sec)'].min()
@@ -1659,11 +1665,10 @@ def handle_makeplot(f1, f2, t, hrdata, plotnr, imagename,
 
     try:
         haspower = row.df[' Power (watts)'].mean() > 50
-    except TypeError:
-        haspower = True
-    except KeyError:
+    except (TypeError, KeyError):
         haspower = False
 
+
     nr_rows = len(row.df)
     if (plotnr in [1, 2, 4, 5, 8, 11, 9, 12]) and (nr_rows > 1200):
         bin = int(nr_rows / 1200.)
@@ -1700,14 +1705,13 @@ def handle_makeplot(f1, f2, t, hrdata, plotnr, imagename,
         t += ' - Power Distribution'
         fig1 = row.get_power_piechart(t)
 
-    canvas = FigureCanvas(fig1)
+    if fig1:
+        canvas = FigureCanvas(fig1)
 
-    #    plt.savefig('static/plots/'+imagename,format='png')
-    canvas.print_figure('static/plots/' + imagename)
-    # plt.imsave(fname='static/plots/'+imagename)
-    plt.close(fig1)
-    fig1.clf()
-    gc.collect()
+        canvas.print_figure('static/plots/' + imagename)
+        plt.close(fig1)
+        fig1.clf()
+        gc.collect()
 
     return imagename