diff --git a/rowers/dataroutines.py b/rowers/dataroutines.py
index 43807ca9..ad946f8e 100644
--- a/rowers/dataroutines.py
+++ b/rowers/dataroutines.py
@@ -1864,7 +1864,11 @@ def dataprep(rowdatadf, id=0, bands=True, barchart=True, otwpower=True,
 
         filename = 'media/strokedata_{id}.parquet.gz'.format(id=id)
         df = dd.from_pandas(data, npartitions=1)
-        df.to_parquet(filename, engine='fastparquet', compression='GZIP')
+        try:
+            df.to_parquet(filename, engine='fastparquet', compression='GZIP')
+        except FileNotFoundError:
+            df2 = dd.from_pandas(df, npartitions=1)
+            df2.to_parquet(filename, engine='fastparquet', compression='GZIP')
 
     return data
 
diff --git a/rowers/integrations/c2.py b/rowers/integrations/c2.py
index 5d948167..c718a887 100644
--- a/rowers/integrations/c2.py
+++ b/rowers/integrations/c2.py
@@ -165,6 +165,8 @@ class C2Integration(SyncIntegration):
             row = rowingdata(csvfile=filename)
         except IOError:  # pragma: no cover
             return 0
+        except:
+            return 0
 
         try:
             averagehr = int(row.df[' HRCur (bpm)'].mean())
diff --git a/rowers/tasks.py b/rowers/tasks.py
index 99ab4353..857e844c 100644
--- a/rowers/tasks.py
+++ b/rowers/tasks.py
@@ -351,10 +351,13 @@ def uploadactivity(access_token, filename, description='',
                    name='Rowsandall.com workout'):
 
     data_gz = BytesIO()
-    with open(filename, 'rb') as inF:
-        s = inF.read()
-        with gzip.GzipFile(fileobj=data_gz, mode="w") as gzf:
-            gzf.write(s)
+    try:
+        with open(filename, 'rb') as inF:
+            s = inF.read()
+            with gzip.GzipFile(fileobj=data_gz, mode="w") as gzf:
+                gzf.write(s)
+    except FileNotFoundError:
+        return 0
 
     headers = {
         'Content-Type': 'application/json',