From a80c523c3bd8f5499d238ec1b0c2553642e461bc Mon Sep 17 00:00:00 2001
From: Sander Roosendaal <sanderroosendaal@proton.me>
Date: Thu, 31 Oct 2024 09:06:37 +0100
Subject: [PATCH] changes

---
 rowers/dataroutines.py                |   6 +++++-
 rowers/tests/testdata/testdata.tcx.gz | Bin 4000 -> 4000 bytes
 rowers/views/analysisviews.py         |   2 ++
 3 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/rowers/dataroutines.py b/rowers/dataroutines.py
index 6dc3268b..422226bd 100644
--- a/rowers/dataroutines.py
+++ b/rowers/dataroutines.py
@@ -37,6 +37,7 @@ from polars.exceptions import (
     ColumnNotFoundError, SchemaError, ComputeError,
     InvalidOperationError, ShapeError
 )
+from pandas.errors import IntCastingNaNError
 
 from rowingdata import (
     KinoMapParser,
@@ -257,7 +258,10 @@ def get_video_data(w, groups=['basic'], mode='water'):
     df2 = pd.concat([df2, coordinates], axis=1)
     latitude = df2['latitude']
     longitude = df2['longitude']
-    boatspeed = (100*df2['velo'].fillna(method='ffill').fillna(method='bfill')).astype(int)/100.
+    try:
+        boatspeed = (100*df2['velo'].fillna(method='ffill').fillna(method='bfill')).astype(int)/100.
+    except IntCastingNaNError:
+        boatspeed = 0.0*df2['longitude']
     # bundle data
     data = {
         'boatspeed': boatspeed.values.tolist(),
diff --git a/rowers/tests/testdata/testdata.tcx.gz b/rowers/tests/testdata/testdata.tcx.gz
index 654adcaedc233e73eae89b6b82380d30b627db18..96de089261eaba1ffcf28004d7b41f4b18171ba8 100644
GIT binary patch
delta 36
scmZ1=zd)W{zMF%?=!(on_LY2WcZHOW+viT+#`lP0-?fy6BMpoU0OF?&SpWb4

delta 36
scmZ1=zd)W{zMF&NguCEI_LY2W^=@&yl+z|}<9o#6D{)cfNCP7S0NC&h8vp<R

diff --git a/rowers/views/analysisviews.py b/rowers/views/analysisviews.py
index f398d8a6..1938df26 100644
--- a/rowers/views/analysisviews.py
+++ b/rowers/views/analysisviews.py
@@ -418,6 +418,8 @@ def trendflexdata(workouts, options, userid=0):
             return ('', 'Error: not enough data')
         except TypeError:
             return ('','Error: something wrong with the data')
+        except KeyError:
+            return ('','Error: no {groupby} data'.format(groupby=groupby))
     else:  # pragma: no cover
         try:
             bins = np.arange(datadf['days ago'].min()-binsize,