From d833c69e799b17d2074928748486bf173470caee Mon Sep 17 00:00:00 2001
From: Sander Roosendaal <sanderroosendaal@proton.me>
Date: Mon, 20 Oct 2025 14:14:17 +0200
Subject: [PATCH] fixing fit processing and wps average calculation

---
 rowers/dataprep.py                    |   5 ++++-
 rowers/tests/testdata/testdata.tcx.gz | Bin 3989 -> 3989 bytes
 rowers/utils.py                       |   1 +
 3 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/rowers/dataprep.py b/rowers/dataprep.py
index 76572c25..fb58aee3 100644
--- a/rowers/dataprep.py
+++ b/rowers/dataprep.py
@@ -1521,7 +1521,10 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
         cntr = Workout.objects.filter(user=r, workouttype__in=otwtypes,
                                       startdatetime__gt=tz.now()-tz.timedelta(days=42),
                                       duplicate=False).count()
-        new_value = (cntr*r.running_wps_erg + row.df['driveenergy'].mean())/(cntr+1.0)
+        try:
+            new_value = (cntr*r.running_wps_erg + row.df['driveenergy'].mean())/(cntr+1.0)
+        except TypeError:
+            new_value = r.running_wps
         if not (math.isnan(new_value) or math.isinf(new_value) or new_value == 0):
             r.running_wps = new_value
         elif not (math.isnan(r.running_wps) or math.isinf(r.running_wps) or r.running_wps == 0):
diff --git a/rowers/tests/testdata/testdata.tcx.gz b/rowers/tests/testdata/testdata.tcx.gz
index 4b65b85af5141a4a7714bcfb31c5d35e25be43d1..1e672f9baf0efdf0a5d722ae1827a6988d9c83ba 100644
GIT binary patch
delta 16
XcmbO#KUJPxzMF%?N#)x{_C9_9C;<f9

delta 16
XcmbO#KUJPxzMF$%^@H~t+57kbFC_)}

diff --git a/rowers/utils.py b/rowers/utils.py
index f6aa06bd..8a2ed490 100644
--- a/rowers/utils.py
+++ b/rowers/utils.py
@@ -833,6 +833,7 @@ def step_to_time_dist(step, avgspeed=3.2, ftp=200, ftspm=25, ftv=3.7, powerzones
                 avgpower = targetpower
             if valuelow != 0 and valuehigh != 0:  # pragma: no cover
                 avgpower = (valuelow+valuehigh)/2.
+                targetpower = ftp*0.6
                 if avgpower < 10 and avgpower > 0:
                     targetpower = ftp*0.6
                 elif avgpower > 10 and avgpower < 1000: