removing some warnings
This commit is contained in:
@@ -1858,7 +1858,6 @@ def parsenonpainsled(fileformat,f2,summary,startdatetime='',empowerfirmware=None
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if fileformat == 'nklinklogbook' and empowerfirmware is not None:
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if inboard is not None and oarlength is not None:
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row = NKLiNKLogbookParser(f2,firmware=empowerfirmware,inboard=inboard,oarlength=oarlength)
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print(row,'aap')
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else:
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row = NKLiNKLogbookParser(f2)
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else:
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@@ -3038,7 +3037,6 @@ def dataprep(rowdatadf, id=0, bands=True, barchart=True, otwpower=True,
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df = dd.from_pandas(data,npartitions=1)
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df.to_parquet(filename,engine='fastparquet',compression='GZIP')
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return data
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@@ -754,9 +754,6 @@ def dataprep(rowdatadf,id=0,bands=True,barchart=True,otwpower=True,
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print("empty")
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return 0
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if debug:
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print("dataprep",id)
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# rowdatadf.set_index([range(len(rowdatadf))],inplace=True)
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t = rowdatadf.loc[:,'TimeStamp (sec)']
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t = pd.Series(t-rowdatadf.loc[:,'TimeStamp (sec)'].iloc[0])
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@@ -1556,13 +1556,13 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
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slider_dist_max.js_on_change('value',callback)
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callback.args["maxdist"] = slider_dist_max
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annotation.sizing_mode = 'fixed'
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slider_spm_min.sizing_mode = 'fixed'
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slider_spm_max.sizing_mode = 'fixed'
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slider_work_min.sizing_mode = 'fixed'
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slider_work_max.sizing_mode = 'fixed'
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slider_dist_min.sizing_mode = 'fixed'
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slider_dist_max.sizing_mode = 'fixed'
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#annotation.sizing_mode = 'fixed'
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#slider_spm_min.sizing_mode = 'fixed'
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#slider_spm_max.sizing_mode = 'fixed'
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#slider_work_min.sizing_mode = 'fixed'
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#slider_work_max.sizing_mode = 'fixed'
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#slider_dist_min.sizing_mode = 'fixed'
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#slider_dist_max.sizing_mode = 'fixed'
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thesliders = layoutcolumn([annotation,
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slider_spm_min,
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@@ -1573,7 +1573,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
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slider_work_max,
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]
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)
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thesliders.sizing_mode = 'fixed'
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#thesliders.sizing_mode = 'fixed'
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layout = layoutrow([thesliders,
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plot])
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@@ -3663,7 +3663,12 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
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success = 0
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p1 = p0
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if len(thesecs)>=4:
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try:
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p1, success = optimize.leastsq(errfunc, p0[:], args = (thesecs,theavpower))
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except (RuntimeError,RuntimeWarning):
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factor = fitfunc(p0,thesecs.mean())/theavpower.mean()
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p1 = [p0[0]/factor,p0[1]/factor,p0[2],p0[3]]
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success = 0
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else:
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factor = fitfunc(p0,thesecs.mean())/theavpower.mean()
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p1 = [p0[0]/factor,p0[1]/factor,p0[2],p0[3]]
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@@ -4889,12 +4894,12 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
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slider_dist_max.js_on_change('value',callback)
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callback.args["maxdist"] = slider_dist_max
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slider_spm_min.sizing_mode = 'fixed'
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slider_spm_max.sizing_mode = 'fixed'
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slider_work_min.sizing_mode = 'fixed'
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slider_work_max.sizing_mode = 'fixed'
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slider_dist_min.sizing_mode = 'fixed'
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slider_dist_max.sizing_mode = 'fixed'
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#slider_spm_min.sizing_mode = 'fixed'
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#slider_spm_max.sizing_mode = 'fixed'
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#slider_work_min.sizing_mode = 'fixed'
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#slider_work_max.sizing_mode = 'fixed'
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#slider_dist_min.sizing_mode = 'fixed'
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#slider_dist_max.sizing_mode = 'fixed'
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thesliders = layoutcolumn([slider_spm_min,
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slider_spm_max,
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@@ -4905,7 +4910,7 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
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],
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)
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thesliders.sizing_mode = 'fixed'
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#thesliders.sizing_mode = 'fixed'
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layout = layoutrow([thesliders,
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plot])
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@@ -5917,13 +5922,13 @@ def interactive_flex_chart2(id,r,promember=0,
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slider_dist_max.js_on_change('value',callback)
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callback.args["maxdist"] = slider_dist_max
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annotation.sizing_mode = 'fixed'
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slider_spm_min.sizing_mode = 'fixed'
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slider_spm_max.sizing_mode = 'fixed'
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slider_work_min.sizing_mode = 'fixed'
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slider_work_max.sizing_mode = 'fixed'
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slider_dist_min.sizing_mode = 'fixed'
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slider_dist_max.sizing_mode = 'fixed'
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#annotation.sizing_mode = 'fixed'
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#slider_spm_min.sizing_mode = 'fixed'
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#slider_spm_max.sizing_mode = 'fixed'
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#slider_work_min.sizing_mode = 'fixed'
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#slider_work_max.sizing_mode = 'fixed'
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#slider_dist_min.sizing_mode = 'fixed'
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#slider_dist_max.sizing_mode = 'fixed'
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thesliders = layoutcolumn([
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annotation,
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@@ -5935,7 +5940,7 @@ def interactive_flex_chart2(id,r,promember=0,
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slider_work_max,
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])
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thesliders.sizing_mode = 'fixed'
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#thesliders.sizing_mode = 'fixed'
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layout = layoutrow([thesliders,
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plot])
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@@ -2205,6 +2205,7 @@ def cp_from_workoutids(workoutids,debug=False):
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if len(data)>1:
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df = pd.concat(data,axis=0)
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df = df[df['cp'] == df.groupby(['delta'])['cp'].transform('max')]
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df = df.sort_values(['delta']).reset_index()
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@@ -2250,6 +2251,7 @@ def cp_from_workoutids(workoutids,debug=False):
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power2k = fitfunc(p1,t3)
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return powerfourmin,power2k,powerhour
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@@ -15,6 +15,9 @@ except NameError:
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import pytest
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import warnings
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#warnings.filterwarnings("error",category=RuntimeWarning)
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pytestmark = pytest.mark.django_db
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from bs4 import BeautifulSoup
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@@ -10,7 +10,6 @@ nu = datetime.datetime.now()
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from rowers.views import *
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class WorkoutCompareTest(TestCase):
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def setUp(self):
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self.u = UserFactory()
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@@ -212,6 +211,9 @@ class ListWorkoutTest(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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startdate = arrow.get(startdate).datetime
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enddate = arrow.get(startdate).datetime
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form_data = {
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'startdate':startdate,
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'enddate':enddate,
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@@ -345,6 +347,16 @@ class CumStatsTest(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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url = '/rowers/cumstats/'
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response = self.c.get(url)
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@@ -382,6 +394,16 @@ class CumFlexTest(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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waterboattype = [u'1x',
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u'2x',
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u'2x+',
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@@ -402,7 +424,7 @@ class CumFlexTest(TestCase):
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'modality':u'all',
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'waterboattype': waterboattype,
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'xaxis':'spm',
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'yaxis1':'driveenergy',
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'yaxis1':'hr',
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'yaxis2':'power',
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}
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@@ -442,7 +464,7 @@ class CumFlexTest(TestCase):
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u'8+',
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u'8x+'],
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'xparam': u'spm',
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'yparam1': u'driveenergy',
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'yparam1': u'hr',
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'yparam2': u'power'}
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session = self.c.session
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@@ -487,6 +509,16 @@ class MultiFlexTest(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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waterboattype = [u'1x',
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u'2x',
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u'2x+',
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@@ -516,7 +548,7 @@ class MultiFlexTest(TestCase):
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'workoutselectform':'Create Chart',
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'xparam':'spm',
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'yparam':'power',
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'groupby':'driveenergy',
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'groupby':'spm',
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}
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form = MultiFlexChoiceForm(form_data)
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@@ -536,7 +568,7 @@ class MultiFlexTest(TestCase):
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'ploterrorbars':True,
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'userid':0,
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'palette': 'monochrome_blue',
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'groupby': 'driveenergy',
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'groupby': 'power',
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'binsize': 1,
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'xparam': 'spm',
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'yparam': 'power',
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@@ -592,6 +624,16 @@ class HistoTest(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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waterboattype = [u'1x',
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u'2x',
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u'2x+',
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@@ -694,6 +736,16 @@ class WorkoutCompareTestNew(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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form_data = {
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'function':'compare',
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'xparam':'hr',
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@@ -783,6 +835,16 @@ class WorkoutBoxPlotTestNew(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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form_data = {
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'function':'boxplot',
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'xparam':'hr',
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@@ -871,6 +933,16 @@ class WorkoutHistoTestNew(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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form_data = {
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'function':'histo',
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'xparam':'hr',
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@@ -964,6 +1036,16 @@ class History(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=50)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=50)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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form_data = {
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'startdate':startdate,
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'enddate':enddate,
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@@ -1061,6 +1143,16 @@ class GoldMedalScores(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=50)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=50)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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form_data = {
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'startdate':startdate,
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'enddate':enddate,
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@@ -1126,6 +1218,16 @@ class WorkoutFlexallTestNew(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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form_data = {
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'function':'flexall',
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'xparam':'hr',
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@@ -1215,6 +1317,16 @@ class WorkoutStatsTestNew(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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options = {
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'function':'flexall',
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'xparam':'hr',
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@@ -1266,6 +1378,16 @@ class WorkoutStatsTestNew(TestCase):
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startdate = (self.user_workouts[0].startdatetime-datetime.timedelta(days=3)).date()
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enddate = (self.user_workouts[0].startdatetime+datetime.timedelta(days=3)).date()
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# make sure the dates are not naive
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try:
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startdate = pytz.utc.localize(startdate)
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except (ValueError, AttributeError):
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pass
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try:
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enddate = pytz.utc.localize(enddate)
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except (ValueError, AttributeError):
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pass
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form_data = {
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'function':'stats',
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'xparam':'hr',
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@@ -34,6 +34,9 @@ class AsyncTaskTests(TestCase):
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self.c = Client()
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self.user_workouts = WorkoutFactory.create_batch(5, user=self.r)
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for w in self.user_workouts:
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res = dataprep.setcp(w)
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self.factory = RequestFactory()
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self.password = faker.word()
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self.u.set_password(self.password)
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@@ -14,8 +14,7 @@ from django.utils.six import BytesIO
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from PIL import Image
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||||
from io import StringIO
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||||
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||||
import warnings
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||||
warnings.simplefilter("error")
|
||||
|
||||
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||||
def create_image(storage, filename, size=(100, 100), image_mode='RGB', image_format='PNG'):
|
||||
"""
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||||
@@ -321,7 +320,7 @@ class WorkoutViewTest(TestCase):
|
||||
form_data = {
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||||
'xaxis':'time',
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||||
'yaxis1':'power',
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||||
'yaxis2':'driveenergy',
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||||
'yaxis2':'pace',
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||||
'yaxis3':'hr',
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||||
'yaxis4':'spm'
|
||||
}
|
||||
@@ -343,7 +342,7 @@ class WorkoutViewTest(TestCase):
|
||||
|
||||
url = expected_url
|
||||
form_data = {
|
||||
'cols':['driveenergy','spm']
|
||||
'cols':['hr','spm']
|
||||
}
|
||||
form = DataFrameColumnsForm(form_data)
|
||||
|
||||
|
||||
@@ -154,7 +154,7 @@ class C2Objects(DjangoTestCase):
|
||||
|
||||
self.r.c2token = '12'
|
||||
self.r.c2refreshtoken = 'ab'
|
||||
self.r.tokenexpirydate = datetime.datetime.now()+datetime.timedelta(days=1)
|
||||
self.r.tokenexpirydate = arrow.get(datetime.datetime.now()+datetime.timedelta(days=1)).datetime
|
||||
self.r.save()
|
||||
self.c.login(username='john',password='koeinsloot')
|
||||
|
||||
@@ -309,7 +309,7 @@ class C2ObjectsTokenExpired(DjangoTestCase):
|
||||
|
||||
self.r.c2token = '12'
|
||||
self.r.c2refreshtoken = 'ab'
|
||||
self.r.tokenexpirydate = datetime.datetime.now()-datetime.timedelta(days=1)
|
||||
self.r.tokenexpirydate = arrow.get(datetime.datetime.now()-datetime.timedelta(days=1)).datetime
|
||||
self.r.save()
|
||||
self.c.login(username='john',password='koeinsloot')
|
||||
|
||||
@@ -386,7 +386,7 @@ class NKObjects(DjangoTestCase):
|
||||
|
||||
self.r.nktoken = '12'
|
||||
self.r.nkrefreshtoken = '123'
|
||||
self.r.nktokenexpirydate = datetime.datetime.now()-datetime.timedelta(days=1)
|
||||
self.r.nktokenexpirydate = arrow.get(datetime.datetime.now()-datetime.timedelta(days=1)).datetime
|
||||
|
||||
self.r.save()
|
||||
self.c.login(username='john',password='koeinsloot')
|
||||
@@ -532,7 +532,7 @@ class StravaObjects(DjangoTestCase):
|
||||
|
||||
self.r.stravatoken = '12'
|
||||
self.r.stravarefreshtoken = '123'
|
||||
self.r.stravatokenexpirydate = datetime.datetime.now()-datetime.timedelta(days=1)
|
||||
self.r.stravatokenexpirydate = arrow.get(datetime.datetime.now()-datetime.timedelta(days=1)).datetime
|
||||
|
||||
self.r.save()
|
||||
self.c.login(username='john',password='koeinsloot')
|
||||
@@ -639,7 +639,7 @@ class STObjects(DjangoTestCase):
|
||||
|
||||
self.r.sporttrackstoken = '12'
|
||||
self.r.sporttracksrefreshtoken = '12'
|
||||
self.r.sporttrackstokenexpirydate = datetime.datetime.now()+datetime.timedelta(days=1)
|
||||
self.r.sporttrackstokenexpirydate = arrow.get(datetime.datetime.now()+datetime.timedelta(days=1)).datetime
|
||||
self.r.save()
|
||||
|
||||
self.c.login(username='john',password='koeinsloot')
|
||||
@@ -880,7 +880,7 @@ class UAObjects(DjangoTestCase):
|
||||
|
||||
self.r.underarmourtoken = '12'
|
||||
self.r.underarmourrefreshtoken = '12'
|
||||
self.r.underarmourtokenexpirydate = datetime.datetime.now()+datetime.timedelta(days=1)
|
||||
self.r.underarmourtokenexpirydate = arrow.get(datetime.datetime.now()+datetime.timedelta(days=1)).datetime
|
||||
self.r.save()
|
||||
|
||||
self.c.login(username='john',password='koeinsloot')
|
||||
@@ -983,7 +983,7 @@ class TPObjects(DjangoTestCase):
|
||||
|
||||
self.r.tptoken = '12'
|
||||
self.r.tprefreshtoken = '12'
|
||||
self.r.tptokenexpirydate = datetime.datetime.now()+datetime.timedelta(days=1)
|
||||
self.r.tptokenexpirydate = arrow.get(datetime.datetime.now()+datetime.timedelta(days=1)).datetime
|
||||
self.r.save()
|
||||
|
||||
self.c.login(username='john',password='koeinsloot')
|
||||
|
||||
@@ -97,7 +97,7 @@ class ChallengesTest(TestCase):
|
||||
workouttype = 'water',
|
||||
)
|
||||
|
||||
self.wthyro.startdatetime = nu
|
||||
self.wthyro.startdatetime = arrow.get(nu).datetime
|
||||
self.wthyro.date = nu.date()
|
||||
self.wthyro.save()
|
||||
|
||||
@@ -111,7 +111,7 @@ class ChallengesTest(TestCase):
|
||||
workouttype = 'water',
|
||||
)
|
||||
|
||||
self.wthyro2.startdatetime = nu
|
||||
self.wthyro2.startdatetime = arrow.get(nu).datetime
|
||||
self.wthyro2.date = nu.date()
|
||||
self.wthyro2.save()
|
||||
|
||||
@@ -776,7 +776,7 @@ class IndoorChallengesTest(TestCase):
|
||||
workouttype = 'water',
|
||||
)
|
||||
|
||||
self.werg.startdatetime = nu
|
||||
self.werg.startdatetime = arrow.get(nu).datetime
|
||||
self.werg.date = nu.date()
|
||||
self.werg.save()
|
||||
|
||||
|
||||
@@ -182,6 +182,16 @@ def analysis_new(request,userid=0,function='boxplot',teamid=0,id=''):
|
||||
enddate = startdate
|
||||
startdate = s
|
||||
|
||||
# make sure the dates are not naive
|
||||
try:
|
||||
startdate = pytz.utc.localize(startdate)
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
try:
|
||||
enddate = pytz.utc.localize(enddate)
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
|
||||
negtypes = []
|
||||
for b in mytypes.boattypes:
|
||||
if b[0] not in waterboattype:
|
||||
@@ -366,7 +376,7 @@ def trendflexdata(workouts, options,userid=0):
|
||||
datadf[groupby].max()+binsize,
|
||||
binsize)
|
||||
groups = datadf.groupby(pd.cut(datadf[groupby],bins,labels=False))
|
||||
except ValueError:
|
||||
except (ValueError, AttributeError):
|
||||
return ('','Error: not enough data')
|
||||
else:
|
||||
bins = np.arange(datadf['days ago'].min()-binsize,
|
||||
@@ -426,7 +436,7 @@ def trendflexdata(workouts, options,userid=0):
|
||||
df['groupval'].loc[mask] = np.nan
|
||||
|
||||
groupcols = df['groupval']
|
||||
except ValueError:
|
||||
except (ValueError, AttributeError):
|
||||
df['groupval'] = groups.mean()[groupby].fillna(value=0)
|
||||
df['groupval'].loc[mask] = np.nan
|
||||
groupcols = df['groupval']
|
||||
@@ -1917,6 +1927,8 @@ def rankings_view(request,userid=0,
|
||||
startdate = datetime.datetime.combine(startdate,datetime.time())
|
||||
enddate = datetime.datetime.combine(enddate,datetime.time(23,59,59))
|
||||
#enddate = enddate+datetime.timedelta(days=1)
|
||||
startdate = arrow.get(startdate).datetime
|
||||
enddate = arrow.get(enddate).datetime
|
||||
|
||||
thedistances = []
|
||||
theworkouts = []
|
||||
@@ -2324,7 +2336,8 @@ def rankings_view2(request,userid=0,
|
||||
startdate = datetime.datetime.combine(startdate,datetime.time())
|
||||
enddate = datetime.datetime.combine(enddate,datetime.time(23,59,59))
|
||||
#enddate = enddate+datetime.timedelta(days=1)
|
||||
|
||||
startdate = arrow.get(startdate).datetime
|
||||
enddate = arrow.get(enddate).datetime
|
||||
|
||||
thedistances = []
|
||||
theworkouts = []
|
||||
@@ -2438,7 +2451,7 @@ def rankings_view2(request,userid=0,
|
||||
pwr = 2.8*(velo**3)
|
||||
try:
|
||||
pwr = int(pwr)
|
||||
except ValueError:
|
||||
except (ValueError, AttributeError):
|
||||
pwr = 0
|
||||
|
||||
a = {'distance':rankingdistance,
|
||||
@@ -2675,7 +2688,8 @@ def otwrankings_view(request,userid=0,
|
||||
enddate = datetime.datetime.combine(enddate,datetime.time(23,59,59))
|
||||
#enddate = enddate+datetime.timedelta(days=1)
|
||||
|
||||
|
||||
startdate = arrow.get(startdate).datetime
|
||||
enddate = arrow.get(enddate).datetime
|
||||
|
||||
thedistances = []
|
||||
theworkouts = []
|
||||
@@ -3087,7 +3101,8 @@ def oterankings_view(request,userid=0,
|
||||
startdate = datetime.datetime.combine(startdate,datetime.time())
|
||||
enddate = datetime.datetime.combine(enddate,datetime.time(23,59,59))
|
||||
|
||||
|
||||
startdate = arrow.get(startdate).datetime
|
||||
enddate = arrow.get(enddate).datetime
|
||||
|
||||
thedistances = []
|
||||
theworkouts = []
|
||||
@@ -3436,6 +3451,16 @@ def user_multiflex_select(request,
|
||||
else:
|
||||
rankingpiece = [True,False]
|
||||
|
||||
# make sure the dates are not naive
|
||||
try:
|
||||
startdate = pytz.utc.localize(startdate)
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
try:
|
||||
enddate = pytz.utc.localize(enddate)
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
|
||||
workouts = Workout.objects.filter(
|
||||
user=r,
|
||||
startdatetime__gte=startdate,
|
||||
@@ -3638,7 +3663,7 @@ def multiflex_data(request,userid=0,
|
||||
datadf[groupby].max()+binsize,
|
||||
binsize)
|
||||
groups = datadf.groupby(pd.cut(datadf[groupby],bins,labels=False))
|
||||
except ValueError:
|
||||
except (ValueError, AttributeError):
|
||||
messages.error(
|
||||
request,
|
||||
"Unable to compete. Probably not enough data selected"
|
||||
@@ -3703,7 +3728,7 @@ def multiflex_data(request,userid=0,
|
||||
df['groupval'].loc[mask] = np.nan
|
||||
|
||||
groupcols = df['groupval']
|
||||
except ValueError:
|
||||
except (ValueError, AttributeError):
|
||||
df['groupval'] = groups.mean()[groupby].fillna(value=0)
|
||||
df['groupval'].loc[mask] = np.nan
|
||||
groupcols = df['groupval']
|
||||
@@ -4079,6 +4104,15 @@ def user_boxplot_select(request,
|
||||
if b[0] not in waterboattype:
|
||||
negtypes.append(b[0])
|
||||
|
||||
# make sure the dates are not naive
|
||||
try:
|
||||
startdate = pytz.utc.localize(startdate)
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
try:
|
||||
enddate = pytz.utc.localize(enddate)
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
|
||||
workouts = Workout.objects.filter(user=r,
|
||||
startdatetime__gte=startdate,
|
||||
@@ -5338,7 +5372,7 @@ def history_view_data(request,userid=0):
|
||||
ddict['hrmean'] = int(wavg(ddf,'hr','deltat'))
|
||||
try:
|
||||
ddict['hrmax'] = ddf['hr'].max().astype(int)
|
||||
except ValueError:
|
||||
except (ValueError, AttributeError):
|
||||
ddict['hrmax'] = 0
|
||||
|
||||
ddict['powermean'] = int(wavg(ddf,'power','deltat'))
|
||||
|
||||
@@ -968,6 +968,10 @@ def video_selectworkout(request,userid=0):
|
||||
startdate = datetime.datetime.combine(startdate,datetime.time())
|
||||
enddate = datetime.datetime.combine(enddate,datetime.time(23,59,59))
|
||||
|
||||
# make sure the dates are not naive
|
||||
startdate = pytz.utc.localize(startdate)
|
||||
enddate = pytz.utc.localize(enddate)
|
||||
|
||||
if enddate < startdate: # pragma: no cover
|
||||
s = enddate
|
||||
enddate = startdate
|
||||
@@ -1112,6 +1116,16 @@ def workouts_join_select(request,
|
||||
enddate = startdate
|
||||
startdate = s
|
||||
|
||||
# make sure the dates are not naive
|
||||
try:
|
||||
startdate = pytz.utc.localize(startdate)
|
||||
except ValueError:
|
||||
pass
|
||||
try:
|
||||
enddate = pytz.utc.localize(enddate)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
|
||||
workouts = Workout.objects.filter(user=r,
|
||||
startdatetime__gte=startdate,
|
||||
@@ -1338,6 +1352,16 @@ def team_comparison_select(request,
|
||||
except Team.DoesNotExist:
|
||||
theteam = 0
|
||||
|
||||
# make sure the dates are not naive
|
||||
try:
|
||||
startdate = pytz.utc.localize(startdate)
|
||||
except ValueError:
|
||||
pass
|
||||
try:
|
||||
enddate = pytz.utc.localize(enddate)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
if theteam and (theteam.viewing == 'allmembers' or theteam.manager == request.user):
|
||||
workouts = Workout.objects.filter(team=theteam,
|
||||
startdatetime__gte=startdate,
|
||||
@@ -1964,7 +1988,7 @@ def workouts_view(request,message='',successmessage='',
|
||||
activity_startdate = activity_startdate.replace(hour=0,minute=0,second=0)
|
||||
else:
|
||||
activity_enddate = enddate
|
||||
except ValueError: # pragma: no cover
|
||||
except (ValueError, AttributeError): # pragma: no cover
|
||||
activity_enddate = enddate
|
||||
|
||||
g_startdate = activity_startdate
|
||||
@@ -2156,6 +2180,9 @@ def workout_fusion_list(request,id=0,
|
||||
enddate = datetime.datetime.combine(enddate,datetime.time(23,59,59))
|
||||
#enddate = enddate+datetime.timedelta(days=1)
|
||||
|
||||
startdate = arrow.get(startdate).datetime
|
||||
enddate = arrow.get(enddate).datetime
|
||||
|
||||
if enddate < startdate: # pragma: no cover
|
||||
s = enddate
|
||||
enddate = startdate
|
||||
@@ -3959,8 +3986,6 @@ def workout_flexchart_stacked_view(request,*args,**kwargs):
|
||||
|
||||
if request.method == 'POST':
|
||||
flexaxesform = StravaChartForm(request,request.POST)
|
||||
if not flexaxesform.is_valid():
|
||||
print(flexaxesform.errors)
|
||||
if flexaxesform.is_valid():
|
||||
cd = flexaxesform.cleaned_data
|
||||
xparam = cd['xaxis']
|
||||
|
||||
Reference in New Issue
Block a user