Merge branch 'release/v10.43'
This commit is contained in:
@@ -574,6 +574,7 @@ def createc2workoutdata(w):
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"time": int(10*makeseconds(durationstr)),
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"time": int(10*makeseconds(durationstr)),
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"weight_class": c2wc(w.weightcategory),
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"weight_class": c2wc(w.weightcategory),
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"comments": w.notes,
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"comments": w.notes,
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"stroke_count": int(row.stroke_count),
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'stroke_rate': int(row.df[' Cadence (stokes/min)'].mean()),
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'stroke_rate': int(row.df[' Cadence (stokes/min)'].mean()),
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'drag_factor': int(row.dragfactor),
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'drag_factor': int(row.dragfactor),
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"heart_rate": {
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"heart_rate": {
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@@ -2007,9 +2007,9 @@ def read_df_sql(id):
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f = 'media/strokedata_{id}.parquet.gz'.format(id=id)
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f = 'media/strokedata_{id}.parquet.gz'.format(id=id)
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df = pd.read_parquet(f)
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df = pd.read_parquet(f)
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except OSError:
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except OSError:
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rowdata,row = getrowdata(id=ids[0])
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rowdata,row = getrowdata(id=id)
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if rowdata and len(rowdata.df):
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if rowdata and len(rowdata.df):
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data = dataprep(rowdata.df,id=ids[0],bands=True,otwpower=True,barchart=True)
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data = dataprep(rowdata.df,id=id,bands=True,otwpower=True,barchart=True)
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df = pd.read_parquet(f)
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df = pd.read_parquet(f)
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df = df.fillna(value=0)
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df = df.fillna(value=0)
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@@ -166,7 +166,7 @@ def create_c2_stroke_data_db(
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try:
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try:
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spm = 60.*nr_strokes/totalseconds
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spm = 60.*nr_strokes/totalseconds
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except ZeroDivisionError:
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except ZeroDivisionError:
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spm = 20*zeros(nr_strokes)
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spm = 20*np.zeros(nr_strokes)
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step = totalseconds/float(nr_strokes)
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step = totalseconds/float(nr_strokes)
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@@ -713,7 +713,7 @@ def getsmallrowdata_db(columns,ids=[],debug=False):
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columns = [c for c in columns if c != 'None']
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columns = [c for c in columns if c != 'None']
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if len(ids)>1:
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if len(ids)>1:
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for f in csvfilenames:
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for id, f in zip(ids,csvfilenames):
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try:
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try:
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df = pd.read_parquet(f,columns=columns,engine='pyarrow')
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df = pd.read_parquet(f,columns=columns,engine='pyarrow')
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data.append(df)
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data.append(df)
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@@ -721,7 +721,10 @@ def getsmallrowdata_db(columns,ids=[],debug=False):
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pass
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pass
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df = pd.concat(data,axis=0)
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try:
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df = pd.concat(data,axis=0)
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except ValueError:
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df = pd.DataFrame()
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else:
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else:
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df = pd.read_parquet(csvfilenames[0],columns=columns,engine='pyarrow')
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df = pd.read_parquet(csvfilenames[0],columns=columns,engine='pyarrow')
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@@ -130,8 +130,8 @@ def handle_c2_import_stroke_data(c2token,
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authorizationstring = str('Bearer ' + c2token)
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authorizationstring = str('Bearer ' + c2token)
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headers = {'Authorization': authorizationstring,
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headers = {'Authorization': authorizationstring,
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'user-agent': 'sanderroosendaal',
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'user-agent': 'sanderroosendaal',
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'Content-Type': 'application/json'}
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'Content-Type': 'application/json'}
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url = "https://log.concept2.com/api/users/me/results/"+str(c2id)+"/strokes"
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url = "https://log.concept2.com/api/users/me/results/"+str(c2id)+"/strokes"
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s = requests.get(url,headers=headers)
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s = requests.get(url,headers=headers)
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if s.status_code == 200:
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if s.status_code == 200:
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@@ -191,7 +191,10 @@ def getagegrouprecord(age,sex='male',weightcategory='hwt',
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distance=2000,duration=None,indf=pd.DataFrame()):
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distance=2000,duration=None,indf=pd.DataFrame()):
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if not duration:
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if not duration:
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df = indf[indf['distance'] == distance]
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try:
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df = indf[indf['distance'] == distance]
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except KeyError:
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df = pd.DataFrame()
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else:
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else:
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duration = 60*int(duration)
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duration = 60*int(duration)
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df = indf[indf['duration'] == duration]
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df = indf[indf['duration'] == duration]
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