fixing cr
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@@ -557,6 +557,7 @@ def setcp(workout, background=False, recurrance=True):
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return(df, df['delta'], df['cp'], df['cr'])
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return(df, df['delta'], df['cp'], df['cr'])
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except KeyError:
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except KeyError:
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return(df, df['delta'], df['cp'], 0*df['cp'])
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return(df, df['delta'], df['cp'], 0*df['cp'])
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except Exception as e:
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except Exception as e:
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try:
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try:
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os.remove(filename)
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os.remove(filename)
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@@ -772,10 +773,16 @@ def join_workouts(r, ids, title='Joined Workout',
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def fetchcp_new(rower, workouts):
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def fetchcp_new(rower, workouts, spm=False):
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data = []
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data = []
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cpcol = 'cp'
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cpmin = 20
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if spm:
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cpcol = 'cr'
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cpmin = 5
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for workout in workouts:
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for workout in workouts:
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df, delta, cpvalues, cpvalues_spm = setcp(workout)
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df, delta, cpvalues, cpvalues_spm = setcp(workout)
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df = df.drop('id')
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df = df.drop('id')
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@@ -784,6 +791,7 @@ def fetchcp_new(rower, workouts):
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if not df.is_empty():
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if not df.is_empty():
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data.append(df)
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data.append(df)
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if len(data) == 0:
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if len(data) == 0:
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return pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), 0, pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64)
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return pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), 0, pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64)
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if len(data) > 1:
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if len(data) > 1:
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@@ -793,12 +801,12 @@ def fetchcp_new(rower, workouts):
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try:
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try:
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#df = df.group_by(pl.col("delta")).agg(pl.max("cp"), pl.max("workout"), pl.max("url")).sort("delta")
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#df = df.group_by(pl.col("delta")).agg(pl.max("cp"), pl.max("workout"), pl.max("url")).sort("delta")
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df = df.groupby('delta').agg([
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df = df.groupby('delta').agg([
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pl.all().sort_by('cp').last(),
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pl.all().sort_by(cpcol).last(),
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])
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])
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except (KeyError, ColumnNotFoundError): # pragma: no cover
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except (KeyError, ColumnNotFoundError): # pragma: no cover
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return pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), 0, pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64)
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return pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), 0, pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64)
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df = df.filter(pl.col("cp")>20)
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df = df.filter(pl.col(cpcol)>cpmin)
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try:
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try:
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testje = df['cr']
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testje = df['cr']
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BIN
rowers/tests/testdata/testdata.tcx.gz
vendored
BIN
rowers/tests/testdata/testdata.tcx.gz
vendored
Binary file not shown.
@@ -822,9 +822,8 @@ def crdata(workouts, options):
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u = User.objects.get(id=userid)
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u = User.objects.get(id=userid)
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r = u.rower
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r = u.rower
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delta, cpvalue, crvalue, avgpower, workoutnames, urls = dataprep.fetchcp_new(
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delta, cpvalue, crvalue, avgpower, workoutnames, urls = dataprep.fetchcp_new(
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r, workouts)
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r, workouts, spm=True)
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powerdf = pl.DataFrame({
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powerdf = pl.DataFrame({
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'Delta': delta,
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'Delta': delta,
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@@ -1183,7 +1182,6 @@ def analysis_view_data(request, userid=0):
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pass
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pass
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if function == 'boxplot':
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if function == 'boxplot':
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script, div = boxplotdata(workouts, options)
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script, div = boxplotdata(workouts, options)
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elif function == 'trendflex': # pragma: no cover
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elif function == 'trendflex': # pragma: no cover
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