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Merge branch 'release/v9.63'

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This commit is contained in:
Sander Roosendaal
2019-04-02 22:17:53 +02:00
parent bc40ce42a4 114663c542
commit 6586581609
12 changed files with 499 additions and 80 deletions
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rowers/c2stuff.py
+9 -2
View File
@@ -108,9 +108,16 @@ def get_c2_workouts(rower):
for item in res.json()['data']:
alldata[item['id']] = item
knownc2ids = uniqify([
knownc2ids = [
w.uploadedtoc2 for w in Workout.objects.filter(user=rower)
])
]
tombstones = [
t.uploadedtoc2 for t in TombStone.objects.filter(user=rower)
]
knownc2ids = uniqify(knownc2ids+tombstones)
newids = [c2id for c2id in c2ids if not c2id in knownc2ids]
for c2id in newids:
rowers/forms.py
+25 -9
View File
@@ -723,6 +723,7 @@ class TrendFlexModalForm(forms.Form):
required=False)
# This form sets options for the summary stats page
class StatsOptionsForm(forms.Form):
includereststrokes = forms.BooleanField(initial=False,label='Include Rest Strokes',required=False)
@@ -1181,24 +1182,39 @@ class FlexOptionsForm(forms.Form):
('line','Line Plot'),
('scatter','Scatter Plot'),
)
plottype = forms.ChoiceField(choices=plotchoices,initial='scatter',
plottype = forms.ChoiceField(choices=plotchoices,initial='line',
label='Chart Type')
class ForceCurveOptionsForm(forms.Form):
includereststrokes = forms.BooleanField(initial=False, required = False,
label='Include Rest Strokes')
plotchoices = (
('line','Force Curve Collection Plot'),
('scatter','Peak Force Scatter Plot'),
('none','Only aggregrate data')
)
plottype = forms.ChoiceField(choices=plotchoices,initial='scatter',
label='Individual Stroke Chart Type')
class FlexAxesForm(forms.Form):
axchoices = (
axchoices = list(
(ax[0],ax[1]) for ax in axes if ax[0] not in ['cumdist','None']
)
axchoices = dict((x,y) for x,y in axchoices)
axchoices = list(sorted(axchoices.items(), key = lambda x:x[1]))
yaxchoices = (
(ax[0], ax[1]) for ax in axes if ax[0] not in ['cumdist','distance','time']
yaxchoices = list((ax[0],ax[1]) for ax in axes if ax[0] not in ['cumdist','distance','time'])
yaxchoices = dict((x,y) for x,y in yaxchoices)
yaxchoices = list(sorted(yaxchoices.items(), key = lambda x:x[1]))
yaxchoices2 = list(
(ax[0],ax[1]) for ax in axes if ax[0] not in ['cumdist','distance','time']
)
yaxchoices2 = (
(ax[0], ax[1]) for ax in axes if ax[0] not in ['cumdist','distance','time']
)
yaxchoices2 = dict((x,y) for x,y in yaxchoices2)
yaxchoices2 = list(sorted(yaxchoices2.items(), key = lambda x:x[1]))
xaxis = forms.ChoiceField(
choices=axchoices,label='X-Axis',required=True)
rowers/interactiveplots.py
+391 -33
View File
@@ -17,6 +17,7 @@ from math import pi
from django.utils import timezone
from bokeh.palettes import Dark2_8 as palette
from bokeh.models.glyphs import MultiLine
import itertools
from bokeh.plotting import figure, ColumnDataSource, Figure,curdoc
from bokeh.models import CustomJS,Slider, TextInput,BoxAnnotation
@@ -64,6 +65,7 @@ activate(settings.TIME_ZONE)
thetimezone = get_current_timezone()
from scipy.stats import linregress,percentileofscore
from scipy.spatial import ConvexHull,Delaunay
from scipy import optimize
from scipy.signal import savgol_filter
from scipy.interpolate import griddata
@@ -164,7 +166,8 @@ def tailwind(bearing,vwind,winddir):
from rowers.dataprep import nicepaceformat,niceformat
from rowers.dataprep import timedeltaconv
def interactive_boxchart(datadf,fieldname,extratitle=''):
def interactive_boxchart(datadf,fieldname,extratitle='',
spmmin=0,spmmax=0,workmin=0,workmax=0):
if datadf.empty:
return '','It looks like there are no data matching your filter'
@@ -186,15 +189,6 @@ def interactive_boxchart(datadf,fieldname,extratitle=''):
plot = hv.render(boxwhiskers)
#plot = BoxPlot(datadf, values=fieldname, label='date',
# legend=False,
# title=axlabels[fieldname]+' '+extratitle,
# outliers=False,
# tools=TOOLS,
# toolbar_location="above",
# toolbar_sticky=False,
# x_mapper_type='datetime',plot_width=920)
yrange1 = Range1d(start=yaxminima[fieldname],end=yaxmaxima[fieldname])
plot.y_range = yrange1
plot.sizing_mode = 'scale_width'
@@ -221,6 +215,18 @@ def interactive_boxchart(datadf,fieldname,extratitle=''):
plot.plot_width=920
plot.plot_height=600
slidertext = 'SPM: {:.0f}-{:.0f}, WpS: {:.0f}-{:.0f}'.format(
spmmin,spmmax,workmin,workmax
)
sliderlabel = Label(x=50,y=20,x_units='screen',y_units='screen',
text=slidertext,
background_fill_alpha=0.7,
background_fill_color='white',
text_color='black',text_font_size='10pt',
)
plot.add_layout(sliderlabel)
script, div = components(plot)
return script,div
@@ -369,7 +375,7 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
script,div = components(p)
return script,div
def interactive_forcecurve(theworkouts,workstrokesonly=False):
def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
ids = [int(w.id) for w in theworkouts]
@@ -399,63 +405,268 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
if rowdata.empty:
return "","No Valid Data Available","",""
# quick linear regression
# peakforce = slope*peakforceangle + intercept
slope, intercept, r,p,stderr = linregress(rowdata['peakforceangle'],rowdata['peakforce'])
covariancematrix = np.cov(rowdata['peakforceangle'],y=rowdata['peakforce'])
eig_vals, eig_vecs = np.linalg.eig(covariancematrix)
a = rowdata['peakforceangle']-rowdata['peakforceangle'].median()
F = rowdata['peakforce']-rowdata['peakforce'].median()
Rinv = eig_vecs
R = np.linalg.inv(Rinv)
x = R[0,0]*a+R[0,1]*F
y = R[1,0]*a+R[1,1]*F
x05 = x.quantile(q=0.01)
x25 = x.quantile(q=0.15)
x75 = x.quantile(q=0.85)
x95 = x.quantile(q=0.99)
y05 = y.quantile(q=0.01)
y25 = y.quantile(q=0.15)
y75 = y.quantile(q=0.85)
y95 = y.quantile(q=0.99)
a25 = Rinv[0,0]*x25 + rowdata['peakforceangle'].median()
F25 = Rinv[1,0]*x25 + rowdata['peakforce'].median()
a25b = Rinv[0,1]*y25 + rowdata['peakforceangle'].median()
F25b = Rinv[1,1]*y25 + rowdata['peakforce'].median()
a75 = Rinv[0,0]*x75 + rowdata['peakforceangle'].median()
F75 = Rinv[1,0]*x75 + rowdata['peakforce'].median()
a75b = Rinv[0,1]*y75 + rowdata['peakforceangle'].median()
F75b = Rinv[1,1]*y75 + rowdata['peakforce'].median()
a05 = Rinv[0,0]*x05 + rowdata['peakforceangle'].median()
F05 = Rinv[1,0]*x05 + rowdata['peakforce'].median()
a05b = Rinv[0,1]*y05 + rowdata['peakforceangle'].median()
F05b = Rinv[1,1]*y05 + rowdata['peakforce'].median()
a95 = Rinv[0,0]*x95 + rowdata['peakforceangle'].median()
F95 = Rinv[1,0]*x95 + rowdata['peakforce'].median()
a95b = Rinv[0,1]*y95 + rowdata['peakforceangle'].median()
F95b = Rinv[1,1]*y95 + rowdata['peakforce'].median()
try:
catchav = rowdata['catch'].mean()
catchav = rowdata['catch'].median()
catch25 = rowdata['catch'].quantile(q=0.25)
catch75 = rowdata['catch'].quantile(q=0.75)
catch05 = rowdata['catch'].quantile(q=0.05)
catch95 = rowdata['catch'].quantile(q=0.95)
except KeyError:
catchav = 0
catch25 = 0
catch75 = 0
catch05 = 0
catch95 = 0
try:
finishav = rowdata['finish'].mean()
finishav = rowdata['finish'].median()
finish25 = rowdata['finish'].quantile(q=0.25)
finish75 = rowdata['finish'].quantile(q=0.75)
finish05 = rowdata['finish'].quantile(q=0.05)
finish95 = rowdata['finish'].quantile(q=0.95)
except KeyError:
finishav = 0
finish25 = 0
finish75 = 0
finish05 = 0
finish95 = 0
try:
washav = rowdata['wash'].mean()
washav = (rowdata['finish']-rowdata['wash']).median()
wash25 = (rowdata['finish']-rowdata['wash']).quantile(q=0.25)
wash75 = (rowdata['finish']-rowdata['wash']).quantile(q=0.75)
wash05 = (rowdata['finish']-rowdata['wash']).quantile(q=0.05)
wash95 = (rowdata['finish']-rowdata['wash']).quantile(q=0.95)
except KeyError:
washav = 0
wash25 = 0
wash75 = 0
wash05 = 0
wash95 = 0
try:
slipav = rowdata['slip'].mean()
slipav = (rowdata['slip']+rowdata['catch']).median()
slip25 = (rowdata['slip']+rowdata['catch']).quantile(q=0.25)
slip75 = (rowdata['slip']+rowdata['catch']).quantile(q=0.75)
slip05 = (rowdata['slip']+rowdata['catch']).quantile(q=0.05)
slip95 = (rowdata['slip']+rowdata['catch']).quantile(q=0.95)
except KeyError:
slipav = 0
slip25 = 0
slip75 = 0
slip05 = 0
slip95 = 0
try:
peakforceav = rowdata['peakforce'].mean()
peakforceav = rowdata['peakforce'].median()
peakforce25 = rowdata['peakforce'].quantile(q=0.25)
peakforce75 = rowdata['peakforce'].quantile(q=0.75)
peakforce05 = rowdata['peakforce'].quantile(q=0.05)
peakforce95 = rowdata['peakforce'].quantile(q=0.95)
except KeyError:
peakforceav = 0
peakforce25 = 0
peakforce75 = 0
peakforce05 = 0
peakforce95 = 0
try:
averageforceav = rowdata['averageforce'].mean()
averageforceav = rowdata['averageforce'].median()
except KeyError:
averageforceav = 0
try:
peakforceangleav = rowdata['peakforceangle'].mean()
peakforceangleav = rowdata['peakforceangle'].median()
peakforceangle05 = rowdata['peakforceangle'].quantile(q=0.05)
peakforceangle25 = rowdata['peakforceangle'].quantile(q=0.25)
peakforceangle75 = rowdata['peakforceangle'].quantile(q=0.75)
peakforceangle95 = rowdata['peakforceangle'].quantile(q=0.95)
except KeyError:
peakforceangleav = 0
peakforceangle25 = 0
peakforceangle75 = 0
peakforceangle05 = 0
peakforceangle95 = 0
#thresholdforce /= 4.45 # N to lbs
thresholdforce = 100 if 'x' in boattype else 200
points2575 = [
(catch25,0), #0
(slip25,thresholdforce), #1
(a75,F75),#4
(a25b,F25b), #9
(a25,F25), #2
(wash75,thresholdforce), #5
(finish75,0), #6
(finish25,0), #7
(wash25,thresholdforce), #8
(a75b,F75b), #3
(slip75,thresholdforce), #10
(catch75,0), #11
]
points0595 = [
(catch05,0), #0
(slip05,thresholdforce), #1
(a95,F95),#4
(a05b,F05b), #9
(a05,F05), #2
(wash95,thresholdforce), #5
(finish95,0), #6
(finish05,0), #7
(wash05,thresholdforce), #8
(a95b,F95b), #3
(slip95,thresholdforce), #10
(catch95,0), #11
]
hull2575 = ConvexHull(points2575)
angles2575 = []
forces2575 = []
for x,y in points2575:
angles2575.append(x)
forces2575.append(y)
angles0595 = []
forces0595 = []
for x,y in points0595:
angles0595.append(x)
forces0595.append(y)
x = [catchav,
catchav+slipav,
slipav,
peakforceangleav,
finishav-washav,
washav,
finishav]
thresholdforce = 100 if 'x' in boattype else 200
#thresholdforce /= 4.45 # N to lbs
y = [0,thresholdforce,
peakforceav,
thresholdforce,0]
source = ColumnDataSource(
data = dict(
x = x,
y = y,
))
sourceslipwash = ColumnDataSource(
data = dict(
xslip = [slipav,washav],
yslip = [thresholdforce,thresholdforce]
)
)
sourcetrend = ColumnDataSource(
data = dict(
x = [peakforceangle25,peakforceangle75],
y = [peakforce25,peakforce75]
)
)
sourcefit = ColumnDataSource(
data = dict(
x = np.array([peakforceangle25,peakforceangle75]),
y = slope*np.array([peakforceangle25,peakforceangle75])+intercept
)
)
source2 = ColumnDataSource(
rowdata
)
if plottype == 'scatter':
sourcepoints = ColumnDataSource(
data = dict(
peakforceangle = rowdata['peakforceangle'],
peakforce = rowdata['peakforce']
)
)
else:
sourcepoints = ColumnDataSource(
data = dict(
peakforceangle = [],
peakforce = []
))
sourcerange = ColumnDataSource(
data = dict(
x2575 = angles2575,
y2575 = forces2575,
x0595 = angles0595,
y0595 = forces0595,
)
)
plot = Figure(tools=TOOLS,
toolbar_sticky=False,toolbar_location="above")
@@ -489,6 +700,56 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
avf = Span(location=averageforceav,dimension='width',line_color='blue',
line_dash=[6,6],line_width=2)
plot.patch('x0595','y0595',source=sourcerange,color="red",alpha=0.05)
plot.patch('x2575','y2575',source=sourcerange,color="red",alpha=0.2)
plot.line('x','y',source=source,color="red")
plot.circle('xslip','yslip',source=sourceslipwash,color="red")
plot.circle('peakforceangle','peakforce',source=sourcepoints,color='black',alpha=0.1)
if plottype == 'line':
multilinedatax = []
multilinedatay = []
for i in range(len(rowdata)):
x = [
rowdata['catch'].values[i],
rowdata['slip'].values[i]+rowdata['catch'].values[i],
rowdata['peakforceangle'].values[i],
rowdata['finish'].values[i]-rowdata['wash'].values[i],
rowdata['finish'].values[i]
]
y = [
0,
thresholdforce,
rowdata['peakforce'].values[i],
thresholdforce,
0]
multilinedatax.append(x)
multilinedatay.append(y)
sourcemultiline = ColumnDataSource(dict(
x=multilinedatax,
y=multilinedatay,
))
sourcemultiline2 = ColumnDataSource(dict(
x=multilinedatax,
y=multilinedatay,
))
glyph = MultiLine(xs='x',ys='y',line_color='black',line_alpha=0.05)
plot.add_glyph(sourcemultiline,glyph)
else:
sourcemultiline = ColumnDataSource(dict(
x=[],y=[]))
sourcemultiline2 = ColumnDataSource(dict(
x=[],y=[]))
plot.line('x','y',source=source,color="red")
plot.add_layout(avf)
@@ -529,19 +790,34 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
)
sliplabel = Label(x=370,y=280,x_units='screen',y_units='screen',
text="Slip: {slipav:6.2f}".format(slipav=slipav),
text="Slip: {slipav:6.2f}".format(slipav=slipav-catchav),
background_fill_alpha=0.7,
background_fill_color='white',
text_color='red',
)
washlabel = Label(x=360,y=250,x_units='screen',y_units='screen',
text="Wash: {washav:6.2f}".format(washav=washav),
text="Wash: {washav:6.2f}".format(washav=finishav-washav),
background_fill_alpha=0.7,
background_fill_color='white',
text_color='red',
)
annolabel = Label(x=50,y=450,x_units='screen',y_units='screen',
text='',
background_fill_alpha=0.7,
background_fill_color='white',
text_color='black',
)
sliderlabel = Label(x=10,y=470,x_units='screen',y_units='screen',
text='',
background_fill_alpha=0.7,
background_fill_color='white',
text_color='black',text_font_size='10pt',
)
plot.add_layout(peakflabel)
plot.add_layout(peakforceanglelabel)
plot.add_layout(avflabel)
@@ -549,6 +825,8 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
plot.add_layout(sliplabel)
plot.add_layout(washlabel)
plot.add_layout(finishlabel)
plot.add_layout(annolabel)
plot.add_layout(sliderlabel)
plot.xaxis.axis_label = "Angle"
plot.yaxis.axis_label = "Force (N)"
@@ -564,6 +842,8 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
callback = CustomJS(args = dict(
source=source,
source2=source2,
sourceslipwash=sourceslipwash,
sourcepoints=sourcepoints,
avf=avf,
avflabel=avflabel,
catchlabel=catchlabel,
@@ -572,12 +852,28 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
washlabel=washlabel,
peakflabel=peakflabel,
peakforceanglelabel=peakforceanglelabel,
annolabel=annolabel,
sliderlabel=sliderlabel,
plottype=plottype,
sourcemultiline=sourcemultiline,
sourcemultiline2=sourcemultiline2
), code="""
var data = source.data
var data2 = source2.data
var dataslipwash = sourceslipwash.data
var datapoints = sourcepoints.data
var multilines = sourcemultiline.data
var multilines2 = sourcemultiline2.data
var plottype = plottype
var multilinesx = multilines2['x']
var multilinesy = multilines2['y']
var x = data['x']
var y = data['y']
var xslip = dataslipwash['xslip']
var spm1 = data2['spm']
var distance1 = data2['distance']
var driveenergy1 = data2['driveenergy']
@@ -592,6 +888,10 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
var peakforce = data2['peakforce']
var averageforce = data2['averageforce']
var peakforcepoints = datapoints['peakforce']
var peakforceanglepoints = datapoints['peakforceangle']
var annotation = annotation.value
var minspm = minspm.value
var maxspm = maxspm.value
var mindist = mindist.value
@@ -599,6 +899,10 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
var minwork = minwork.value
var maxwork = maxwork.value
sliderlabel.text = 'SPM: '+minspm.toFixed(0)+'-'+maxspm.toFixed(0)
sliderlabel.text += ', Dist: '+mindist.toFixed(0)+'-'+maxdist.toFixed(0)
sliderlabel.text += ', WpS: '+minwork.toFixed(0)+'-'+maxwork.toFixed(0)
var catchav = 0
var finishav = 0
var slipav = 0
@@ -608,11 +912,23 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
var peakforceav = 0
var count = 0
datapoints['peakforceangle'] = []
datapoints['peakforce'] = []
multilines['x'] = []
multilines['y'] = []
for (i=0; i<c.length; i++) {
if (spm1[i]>=minspm && spm1[i]<=maxspm) {
if (distance1[i]>=mindist && distance1[i]<=maxdist) {
if (driveenergy1[i]>=minwork && driveenergy1[i]<=maxwork) {
if (plottype=='scatter') {
datapoints['peakforceangle'].push(peakforceangle[i])
datapoints['peakforce'].push(peakforce[i])
}
if (plottype=='line') {
multilines['x'].push(multilinesx[i])
multilines['y'].push(multilinesy[i])
}
catchav += c[i]
finishav += finish[i]
slipav += slip[i]
@@ -637,6 +953,9 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
data['x'] = [catchav,catchav+slipav,peakforceangleav,finishav-washav,finishav]
data['y'] = [0,thresholdforce,peakforceav,thresholdforce,0]
dataslipwash['xslip'] = [catchav+slipav,finishav-washav]
dataslipwash['yslip'] = [thresholdforce,thresholdforce]
avf.location = averageforceav
avflabel.text = 'Favg: '+averageforceav.toFixed(2)
catchlabel.text = 'Catch: '+catchav.toFixed(2)
@@ -645,11 +964,23 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
washlabel.text = 'Wash: '+washav.toFixed(2)
peakflabel.text = 'Fpeak: '+peakforceav.toFixed(2)
peakforceanglelabel.text = 'Peak angle: '+peakforceangleav.toFixed(2)
annolabel.text = annotation
console.log(count);
console.log(multilines['x'].length);
console.log(multilines['y'].length);
// source.trigger('change');
source.change.emit();
sourceslipwash.change.emit()
sourcepoints.change.emit();
sourcemultiline.change.emit();
""")
annotation = TextInput(title="Type your plot notes here", value="",
callback=callback)
callback.args["annotation"] = annotation
slider_spm_min = Slider(start=15.0, end=55,value=15.0, step=.1,
title="Min SPM",callback=callback)
callback.args["minspm"] = slider_spm_min
@@ -679,7 +1010,8 @@ def interactive_forcecurve(theworkouts,workstrokesonly=False):
title="Max Distance",callback=callback)
callback.args["maxdist"] = slider_dist_max
layout = layoutrow([layoutcolumn([slider_spm_min,
layout = layoutrow([layoutcolumn([annotation,
slider_spm_min,
slider_spm_max,
slider_dist_min,
slider_dist_max,
@@ -2370,7 +2702,8 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
ploterrorbars=False,
title=None,binsize=1,colorlegend=[]):
title=None,binsize=1,colorlegend=[],
spmmin=0,spmmax=0,workmin=0,workmax=0):
if datadf.empty:
return ['','<p>No non-zero data in selection</p>']
@@ -2515,8 +2848,8 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
for nr, gvalue, color in colorlegend:
box = BoxAnnotation(bottom=125+20*nr,left=100,top=145+20*nr,
right=120,
box = BoxAnnotation(bottom=75+20*nr,left=50,top=95+20*nr,
right=70,
bottom_units='screen',
top_units='screen',
left_units='screen',
@@ -2524,7 +2857,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
fill_color=color,
fill_alpha=1.0,
line_color=color)
legendlabel = Label(x=121,y=128+20*nr,x_units='screen',
legendlabel = Label(x=71,y=78+20*nr,x_units='screen',
y_units='screen',
text = "{gvalue:3.0f}".format(gvalue=gvalue),
background_fill_alpha=1.0,
@@ -2534,7 +2867,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
plot.add_layout(legendlabel)
if colorlegend:
legendlabel = Label(x=372,y=300,x_units='screen',
legendlabel = Label(x=322,y=250,x_units='screen',
y_units='screen',
text = 'group legend',
text_color='black',
@@ -2552,15 +2885,27 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
else:
plot.yaxis.axis_label = axlabels[yparam]
binlabel = Label(x=100,y=100,x_units='screen',
binlabel = Label(x=50,y=50,x_units='screen',
y_units='screen',
text="Bin size {binsize:3.1f}".format(binsize=binsize),
background_fill_alpha=0.7,
background_fill_color='white',
text_color='black',
text_color='black',text_font_size='10pt',
)
slidertext = 'SPM: {:.0f}-{:.0f}, WpS: {:.0f}-{:.0f}'.format(
spmmin,spmmax,workmin,workmax
)
sliderlabel = Label(x=50,y=20,x_units='screen',y_units='screen',
text=slidertext,
background_fill_alpha=0.7,
background_fill_color='white',
text_color='black',text_font_size='10pt',
)
plot.add_layout(binlabel)
plot.add_layout(sliderlabel)
yrange1 = Range1d(start=yaxmin,end=yaxmax)
plot.y_range = yrange1
@@ -2752,11 +3097,18 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
text_color='green',
)
sliderlabel = Label(x=10,y=470,x_units='screen',y_units='screen',
text='',
background_fill_alpha=0.7,
background_fill_color='white',
text_color='black',text_font_size='10pt',
)
plot.add_layout(x1means)
plot.add_layout(xlabel)
plot.add_layout(y1means)
plot.add_layout(sliderlabel)
y1label = Label(x=50,y=50,x_units='screen',y_units='screen',
text=axlabels[yparam1]+": {y1mean:6.2f}".format(y1mean=y1mean),
@@ -2820,6 +3172,7 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
y1label=y1label,
y2label=y2label,
xlabel=xlabel,
sliderlabel=sliderlabel,
y2means=y2means), code="""
var data = source.data
var data2 = source2.data
@@ -2844,6 +3197,11 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
var maxdist = maxdist.value
var minwork = minwork.value
var maxwork = maxwork.value
sliderlabel.text = 'SPM: '+minspm.toFixed(0)+'-'+maxspm.toFixed(0)
sliderlabel.text += ', Dist: '+mindist.toFixed(0)+'-'+maxdist.toFixed(0)
sliderlabel.text += ', WpS: '+minwork.toFixed(0)+'-'+maxwork.toFixed(0)
var xm = 0
var ym1 = 0
var ym2 = 0
rowers/metrics.py
+1 -1
View File
@@ -285,7 +285,7 @@ axesnew = [
(name,d['verbose_name'],d['ax_min'],d['ax_max'],d['type']) for name,d in rowingmetrics
]
axes = tuple(axesnew+[('None','None',0,1,'basic')])
axes = tuple(axesnew+[('None','<None>',0,1,'basic')])
axlabels = {ax[0]:ax[1] for ax in axes}
rowers/models.py
+21 -1
View File
@@ -2506,7 +2506,6 @@ class PlannedSessionFormSmall(ModelForm):
boattypes = mytypes.boattypes
# Workout
@python_2_unicode_compatible
class Workout(models.Model):
workouttypes = mytypes.workouttypes
workoutsources = mytypes.workoutsources
@@ -2612,6 +2611,27 @@ class Workout(models.Model):
return stri
class TombStone(models.Model):
user = models.ForeignKey(Rower,on_delete=models.CASCADE)
uploadedtoc2 = models.IntegerField(default=0)
uploadedtostrava = models.BigIntegerField(default=0)
uploadedtosporttracks = models.BigIntegerField(default=0)
uploadedtounderarmour = models.BigIntegerField(default=0)
uploadedtotp = models.BigIntegerField(default=0)
uploadedtorunkeeper = models.BigIntegerField(default=0)
@receiver(models.signals.pre_delete,sender=Workout)
def create_tombstone_on_delete(sender, instance, **kwargs):
t = TombStone(
user=instance.user,
uploadedtoc2 = instance.uploadedtoc2,
uploadedtostrava = instance.uploadedtostrava,
uploadedtounderarmour = instance.uploadedtounderarmour,
uploadedtotp = instance.uploadedtotp,
uploadedtorunkeeper = instance.uploadedtorunkeeper,
)
t.save()
# delete files belonging to workout instance
# related GraphImage objects should be deleted automatically
@receiver(models.signals.post_delete,sender=Workout)
rowers/stravastuff.py
+8 -2
View File
@@ -165,9 +165,15 @@ def get_strava_workouts(rower):
w.uploadedtostrava = int(stravaid)
w.save()
knownstravaids = uniqify([
knownstravaids = [
w.uploadedtostrava for w in Workout.objects.filter(user=rower)
])
]
tombstones = [
t.uploadedtostrava for t in TombStone.objects.filter(user=rower)
]
knownstravaids = uniqify(knownstravaids+tombstones)
newids = [stravaid for stravaid in stravaids if not stravaid in knownstravaids]
rowers/templates/forcecurve_single.html
+14 -15
View File
@@ -23,23 +23,22 @@
<ul class="main-content">
<li class="grid_4">
{% if user.is_authenticated and mayedit %}
<form enctype="multipart/form-data" action="{{ formloc }}" method="post">
{% csrf_token %}
{% if workstrokesonly %}
<input type="hidden" name="workstrokesonly" value="True">
<input class="button blue small" value="Remove Rest Strokes" type="Submit">
{% else %}
<input class="button blue small" type="hidden" name="workstrokesonly" value="False">
<input class="button blue small" value="Include Rest Strokes" type="Submit">
</form>
{% endif %}
<span class="tooltiptext">If your data source allows, this will show or hide strokes taken during rest intervals.</span>
{% endif %}
<div id="theplot" class="flexplot">
{{ the_div|safe }}
</div>
</li>
<li class="grid_4">
{{ the_div|safe }}
<form enctype="multipart/form-data" action="" method="post">
{% csrf_token %}
<table>
{{ form.as_table }}
</table>
<p>
<input name="chartform" type="submit"
value="Update Chart">
</p>
</form>
</li>
</ul>
rowers/tests/testdata/testdata.csv.gz
Vendored
BIN
View File
Binary file not shown.
rowers/views/analysisviews.py
+5 -2
View File
@@ -2593,7 +2593,9 @@ def multiflex_data(request,userid=0,
extratitle=extratitle,
ploterrorbars=ploterrorbars,
binsize=binsize,
colorlegend=colorlegend)
colorlegend=colorlegend,
spmmin=spmmin,spmmax=spmmax,
workmin=workmin,workmax=workmax)
scripta= script.split('\n')[2:-1]
script = ''.join(scripta)
@@ -3085,7 +3087,8 @@ def boxplot_view_data(request,userid=0,
script,div = interactive_boxchart(datadf,plotfield,
extratitle=extratitle)
extratitle=extratitle,
spmmin=spmmin,spmmax=spmmax,workmin=workmin,workmax=workmax)
scripta = script.split('\n')[2:-1]
script = ''.join(scripta)
rowers/views/statements.py
+1
View File
@@ -48,6 +48,7 @@ from django.http import (
)
from django.contrib.auth import authenticate, login, logout
from rowers.forms import (
ForceCurveOptionsForm,
LoginForm,DocumentsForm,UploadOptionsForm,ImageForm,CourseForm,
TeamUploadOptionsForm,WorkFlowLeftPanelForm,WorkFlowMiddlePanelForm,
WorkFlowLeftPanelElement,WorkFlowMiddlePanelElement,
rowers/views/workoutviews.py
+19 -10
View File
@@ -26,15 +26,24 @@ def workout_forcecurve_view(request,id=0,workstrokesonly=False):
if not promember:
return HttpResponseRedirect("/rowers/about/")
if request.method == 'POST' and 'workstrokesonly' in request.POST:
workstrokesonly = request.POST['workstrokesonly']
if workstrokesonly == 'True':
workstrokesonly = True
if request.method == 'POST':
form = ForceCurveOptionsForm(request.POST)
if form.is_valid():
includereststrokes = form.cleaned_data['includereststrokes']
plottype = form.cleaned_data['plottype']
workstrokesonly = not includereststrokes
else:
workstrokesonly = False
workstrokesonly = True
plottype = 'line'
else:
form = ForceCurveOptionsForm()
plottype = 'line'
script,div,js_resources,css_resources = interactive_forcecurve([row],
workstrokesonly=workstrokesonly)
script,div,js_resources,css_resources = interactive_forcecurve(
[row],
workstrokesonly=workstrokesonly,
plottype=plottype,
)
breadcrumbs = [
{
@@ -59,6 +68,7 @@ def workout_forcecurve_view(request,id=0,workstrokesonly=False):
{
'the_script':script,
'rower':r,
'form':form,
'workout':row,
'breadcrumbs':breadcrumbs,
'active':'nav-workouts',
@@ -67,7 +77,6 @@ def workout_forcecurve_view(request,id=0,workstrokesonly=False):
'css_res':css_resources,
'id':id,
'mayedit':mayedit,
'workstrokesonly': not workstrokesonly,
'teams':get_my_teams(request.user),
})
@@ -4834,8 +4843,8 @@ def workout_summary_edit_view(request,id,message="",successmessage=""
s = cd["intervalstring"]
try:
rowdata.updateinterval_string(s)
except (ParseException,err):
messages.error(request,'Parsing error in column '+str(err.col))
except:
messages.error(request,'Parsing error')
intervalstats = rowdata.allstats()
itime,idist,itype = rowdata.intervalstats_values()
nrintervals = len(idist)
static/css/styles2.css
+1 -1
View File
@@ -608,7 +608,7 @@
#theplot .bk-plot-layout {
position: auto;
width: 100%;
width: 90%;
height: auto;
display: inline;
}