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adding try and except

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This commit is contained in:
Sander Roosendaal
2020-05-06 09:50:41 +02:00
parent f752e07d77
commit 40315f831e
1 changed files with 25 additions and 5 deletions
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30
rowers/views/analysisviews.py
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@@ -4695,9 +4695,16 @@ def history_view(request,userid=0):
ids = [w.id for w in g_workouts]
columns = ['hr','power']
columns = ['hr','power','time']
df = getsmallrowdata_db(columns,ids=ids)
try:
df['deltat'] = df['time'].diff()
except KeyError:
pass
df = dataprep.clean_df_stats(df,workstrokesonly=True,
ignoreadvanced=True)
totalmeters,totalhours, totalminutes = get_totals(g_workouts)
@@ -4723,9 +4730,16 @@ def history_view(request,userid=0):
wminutes=wminutes
)
ddf = getsmallrowdata_db(columns,ids=[w.id for w in a_workouts])
ddict['hrmean'] = ddf['hr'].mean().astype(int)
try:
ddf['deltat'] = ddf['time'].diff()
except KeyError:
pass
ddf = dataprep.clean_df_stats(ddf,workstrokesonly=True,
ignoreadvanced=True)
ddict['hrmean'] = int(wavg(ddf,'hr','deltat'))
ddict['hrmax'] = ddf['hr'].max().astype(int)
ddict['powermean'] = ddf['power'].mean().astype(int)
ddict['powermean'] = int(wavg(df,'power','deltat'))
ddict['powermax'] = ddf['power'].max().astype(int)
ddict['nrworkouts'] = a_workouts.count()
listofdicts.append(ddict)
@@ -4737,6 +4751,12 @@ def history_view(request,userid=0):
else:
a_workouts = g_workouts.filter(workouttype=typeselect)
ddf = getsmallrowdata_db(columns,ids=[w.id for w in a_workouts])
try:
ddf['deltat'] = ddf['time'].diff()
except KeyError:
pass
ddf = dataprep.clean_df_stats(ddf,workstrokesonly=True,
ignoreadvanced=True)
totalscript, totaldiv = interactive_hr_piechart(ddf,r,mytypes.workouttypes_ordered[typeselect])
# interactive power pie chart
@@ -4749,13 +4769,13 @@ def history_view(request,userid=0):
totalsdict['distance'] = totalmeters
try:
totalsdict['powermean'] = df['power'].mean().astype(int)
totalsdict['powermean'] = int(wavg(df,'power','deltat'))
totalsdict['powermax'] = df['power'].max().astype(int)
except KeyError:
totalsdict['powermean'] = 0
totalsdict['powermax'] = 0
try:
totalsdict['hrmean'] = df['hr'].mean().astype(int)
totalsdict['hrmean'] = int(wavg(df,'hr','deltat'))
totalsdict['hrmax'] = df['hr'].max().astype(int)
except KeyError:
totalsdict['hrmean'] = 0