From 5739da52f54d10e98aef4fa45de96a8370bd56f8 Mon Sep 17 00:00:00 2001
From: Sander Roosendaal <roosendaalsander@gmail.com>
Date: Thu, 15 Sep 2022 21:54:59 +0200
Subject: [PATCH] fix

---
 rowers/alerts.py       | 18 ++++++++++++++++--
 rowers/dataroutines.py |  7 +++++--
 2 files changed, 21 insertions(+), 4 deletions(-)

diff --git a/rowers/alerts.py b/rowers/alerts.py
index e88dbcdf..5d8106c5 100644
--- a/rowers/alerts.py
+++ b/rowers/alerts.py
@@ -100,8 +100,22 @@ def alert_get_stats(alert, nperiod=0):  # pragma: no cover
                                       boattype=alert.boattype)
     ids = [w.id for w in workouts]
 
-    df = getsmallrowdata_db(columns, ids=ids, doclean=True,
-                            workstrokesonly=workstrokesonly)
+    try:
+        df = getsmallrowdata_db(columns, ids=ids, doclean=True,
+                                workstrokesonly=workstrokesonly)
+    except:
+        return {
+            'workouts': workouts.count(),
+            'startdate': startdate,
+            'enddate': enddate,
+            'nr_strokes': 0,
+            'nr_strokes_qualifying': 0,
+            'percentage': 0,
+            'nperiod': nperiod,
+            'median': 0,
+            'median_q': 0,
+            'standard_dev': 0,
+        }
 
     if df.empty:
         return {
diff --git a/rowers/dataroutines.py b/rowers/dataroutines.py
index ead26e09..49fdb091 100644
--- a/rowers/dataroutines.py
+++ b/rowers/dataroutines.py
@@ -1246,8 +1246,11 @@ def getsmallrowdata_db(columns, ids=[], doclean=True, workstrokesonly=True, comp
                 if rowdata and len(rowdata.df):
                     _ = dataprep(rowdata.df, id=id,
                                  bands=True, otwpower=True, barchart=True)
-                    df = pd.read_parquet(f, columns=columns)
-                    data.append(df)
+                    try:
+                        df = pd.read_parquet(f, columns=columns)
+                        data.append(df)
+                    except (OSError, ArrowInvalid, IndexError):
+                        pass
 
         try:
             df = pd.concat(data, axis=0)