Merge branch 'feature/bikeerg2' into develop
This commit is contained in:
+10
-3
@@ -56,7 +56,8 @@ def c2_open(user):
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return thetoken
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return thetoken
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def add_stroke_data(user,c2id,workoutid,startdatetime,csvfilename):
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def add_stroke_data(user,c2id,workoutid,startdatetime,csvfilename,
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workouttype='rower'):
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r = Rower.objects.get(user=user)
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r = Rower.objects.get(user=user)
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if (r.c2token == '') or (r.c2token is None):
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if (r.c2token == '') or (r.c2token is None):
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return custom_exception_handler(401,s)
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return custom_exception_handler(401,s)
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@@ -73,7 +74,7 @@ def add_stroke_data(user,c2id,workoutid,startdatetime,csvfilename):
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c2id,
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c2id,
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workoutid,
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workoutid,
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starttimeunix,
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starttimeunix,
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csvfilename)
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csvfilename,workouttype=workouttype)
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return 1
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return 1
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@@ -164,7 +165,8 @@ def create_async_workout(alldata,user,c2id):
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# Check if workout has stroke data, and get the stroke data
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# Check if workout has stroke data, and get the stroke data
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result = add_stroke_data(user,c2id,w.id,startdatetime,csvfilename)
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result = add_stroke_data(user,c2id,w.id,startdatetime,csvfilename,
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workouttype = w.workouttype)
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return w.id
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return w.id
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@@ -392,6 +394,8 @@ def createc2workoutdata(w):
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d[0] = d[1]
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d[0] = d[1]
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p = abs(10*row.df.ix[:,' Stroke500mPace (sec/500m)'].values)
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p = abs(10*row.df.ix[:,' Stroke500mPace (sec/500m)'].values)
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p = np.clip(p,0,3600)
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p = np.clip(p,0,3600)
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if w.workouttype == 'bike':
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p = 2.0*p
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t = t.astype(int)
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t = t.astype(int)
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d = d.astype(int)
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d = d.astype(int)
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p = p.astype(int)
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p = p.astype(int)
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@@ -830,6 +834,9 @@ def add_workout_from_data(user,importid,data,strokedata,
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pace = pace.replace(0,300)
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pace = pace.replace(0,300)
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velo = 500./pace
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velo = 500./pace
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if workouttype == 'bike':
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velo = 1000./pace
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pace = 500./velo
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power = 2.8*velo**3
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power = 2.8*velo**3
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@@ -871,8 +871,6 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
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# auto smoothing
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# auto smoothing
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pace = row.df[' Stroke500mPace (sec/500m)'].values
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pace = row.df[' Stroke500mPace (sec/500m)'].values
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velo = 500. / pace
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velo = 500. / pace
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if workouttype == 'bikeerg':
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velo = 1000. / pace
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f = row.df['TimeStamp (sec)'].diff().mean()
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f = row.df['TimeStamp (sec)'].diff().mean()
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if f != 0 and not np.isnan(f):
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if f != 0 and not np.isnan(f):
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@@ -205,7 +205,7 @@ def create_c2_stroke_data_db(
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# Saves C2 stroke data to CSV and database
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# Saves C2 stroke data to CSV and database
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def add_c2_stroke_data_db(strokedata,workoutid,starttimeunix,csvfilename,
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def add_c2_stroke_data_db(strokedata,workoutid,starttimeunix,csvfilename,
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debug=False):
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debug=False,workouttype='rower'):
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res = make_cumvalues(0.1*strokedata['t'])
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res = make_cumvalues(0.1*strokedata['t'])
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cum_time = res[0]
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cum_time = res[0]
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@@ -246,7 +246,10 @@ def add_c2_stroke_data_db(strokedata,workoutid,starttimeunix,csvfilename,
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pace = pace.replace(0,300)
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pace = pace.replace(0,300)
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velo = 500./pace
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velo = 500./pace
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if workouttype == 'bike':
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velo = 1000./pace
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# This may be wrong for the bike erg
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power = 2.8*velo**3
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power = 2.8*velo**3
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# save csv
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# save csv
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+6
-1
@@ -90,6 +90,11 @@ def handle_c2_import_stroke_data(c2token,
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starttimeunix,
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starttimeunix,
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csvfilename,debug=True,**kwargs):
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csvfilename,debug=True,**kwargs):
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if 'workouttype' in kwargs:
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workouttype = kwargs['workouttype']
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else:
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workouttype = 'rower'
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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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@@ -100,7 +105,7 @@ def handle_c2_import_stroke_data(c2token,
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strokedata = pd.DataFrame.from_dict(s.json()['data'])
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strokedata = pd.DataFrame.from_dict(s.json()['data'])
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result = add_c2_stroke_data_db(
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result = add_c2_stroke_data_db(
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strokedata,workoutid,starttimeunix,
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strokedata,workoutid,starttimeunix,
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csvfilename,debug=debug,
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csvfilename,debug=debug,workouttype=workouttype
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)
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)
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return 1
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return 1
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@@ -87,6 +87,7 @@ $( document ).ready(function() {
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|| $(this).val() == 'dynamic'
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|| $(this).val() == 'dynamic'
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|| $(this).val() == 'slides'
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|| $(this).val() == 'slides'
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|| $(this).val() == 'paddle'
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|| $(this).val() == 'paddle'
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|| $(this).val() == 'bike'
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|| $(this).val() == 'snow'
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|| $(this).val() == 'snow'
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) {
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) {
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$('#id_boattype').toggle(false);
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$('#id_boattype').toggle(false);
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@@ -21,6 +21,7 @@ $( document ).ready(function() {
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|| $(this).val() == 'dynamic'
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|| $(this).val() == 'dynamic'
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|| $(this).val() == 'slides'
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|| $(this).val() == 'slides'
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|| $(this).val() == 'paddle'
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|| $(this).val() == 'paddle'
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|| $(this).val() == 'bike'
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|| $(this).val() == 'snow'
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|| $(this).val() == 'snow'
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) {
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) {
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$('#id_boattype').toggle(false);
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$('#id_boattype').toggle(false);
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@@ -29,6 +29,7 @@ $( document ).ready(function() {
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|| $(this).val() == 'slides'
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|| $(this).val() == 'slides'
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|| $(this).val() == 'paddle'
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|| $(this).val() == 'paddle'
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|| $(this).val() == 'snow'
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|| $(this).val() == 'snow'
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|| $(this).val() == 'bike'
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) {
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) {
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$('#id_boattype').toggle(false);
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$('#id_boattype').toggle(false);
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$('#id_boattype').val('1x');
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$('#id_boattype').val('1x');
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+1
-1
@@ -9757,7 +9757,7 @@ def workout_getimportview(request,externalid,source = 'c2'):
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w = Workout.objects.get(id=id)
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w = Workout.objects.get(id=id)
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w.uploadedtoc2 = c2id
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w.uploadedtoc2 = c2id
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w.name = 'Imported from C2'
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w.name = 'Imported from C2'
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w.workouttype = 'rower'
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w.workouttype = workouttype
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w.save()
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w.save()
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message = "This workout does not have any stroke data associated with it. We created synthetic stroke data."
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message = "This workout does not have any stroke data associated with it. We created synthetic stroke data."
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