Merge branch 'develop' into feature/charts-microservice
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@@ -2126,6 +2126,7 @@ def dataprep(rowdatadf, id=0, bands=True, barchart=True, otwpower=True,
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filename = 'media/strokedata_{id}.parquet.gz'.format(id=id)
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filename = 'media/strokedata_{id}.parquet.gz'.format(id=id)
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df = dd.from_pandas(data, npartitions=1)
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df = dd.from_pandas(data, npartitions=1)
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if polars:
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if polars:
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pldf = pl.from_pandas(data)
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pldf = pl.from_pandas(data)
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try:
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try:
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@@ -2139,6 +2140,10 @@ def dataprep(rowdatadf, id=0, bands=True, barchart=True, otwpower=True,
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except FileNotFoundError:
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except FileNotFoundError:
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df2 = dd.from_pandas(df, npartitions=1)
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df2 = dd.from_pandas(df, npartitions=1)
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df2.to_parquet(filename, engine='fastparquet', compression='gzip')
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df2.to_parquet(filename, engine='fastparquet', compression='gzip')
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except FileExistsError:
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os.remove(filename)
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df.to_parquet(filename, engine='fastparquet', compression='GZIP')
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return data
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return data
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@@ -371,11 +371,14 @@ def course_view(request, id=0):
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coursecompleted=True).order_by("duration", "-distance")
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coursecompleted=True).order_by("duration", "-distance")
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# get own training results
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# get own training results
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ownrecords = CourseTestResult.objects.filter(
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if not request.user.is_anonymous:
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courseid = course.id,
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ownrecords = CourseTestResult.objects.filter(
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userid = r.id,
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courseid = course.id,
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coursecompleted=True
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userid = r.id,
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).order_by("duration", "-distance")
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coursecompleted=True
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).order_by("duration", "-distance")
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else:
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ownrecords = []
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if request.user.is_authenticated:
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if request.user.is_authenticated:
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notsharing = Rower.objects.filter(
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notsharing = Rower.objects.filter(
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