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removing obsolete code

This commit is contained in:
2024-03-25 19:57:57 +01:00
parent fa62212739
commit 02c998af3e
2 changed files with 39 additions and 172 deletions

View File

@@ -1797,174 +1797,37 @@ def performance_chart(user, startdate=None, enddate=None, kfitness=42, kfatigue=
tz=datetime.timezone.utc).replace(tzinfo=None))
df = df.loc[mask]
source = ColumnDataSource(
data=dict(
testpower=df['testpower'],
testduration=df['testduration'].apply(
lambda x: totaltime_sec_to_string(x, shorten=True)),
date=df['date'],
fdate=df['date'].map(lambda x: x.strftime('%d-%m-%Y')),
fitness=df['fitness'],
fatigue=df['fatigue'],
form=df['form'],
impulse=df['impulse']
)
)
df2 = pd.DataFrame({
"testpower" :df['testpower'],
"testduration":df['testduration'].apply(
lambda x: totaltime_sec_to_string(x, shorten=True)),
"fitness":df['fitness'],
"fatigue":df['fatigue'],
"form":df['form'],
"impulse":df['impulse'],
"date": df['date'].map(lambda x: x.strftime('%Y-%m-%d')),
})
plot = figure(tools=TOOLS, x_axis_type='datetime',
width=900, height=300,
toolbar_location="above",
toolbar_sticky=False)
# add watermark
watermarkurl = "/static/img/logo7.png"
watermarkrange = Range1d(start=0, end=1)
watermarkalpha = 0.6
watermarkx = 0.99
watermarky = 0.01
watermarkw = 184
watermarkh = 35
watermarkanchor = 'bottom_right'
plot.extra_y_ranges = {"watermark": watermarkrange}
plot.extra_x_ranges = {"watermark": watermarkrange}
df2.fillna(value=0, inplace=True)
plot.image_url([watermarkurl], watermarkx, watermarky,
watermarkw, watermarkh,
global_alpha=watermarkalpha,
w_units='screen',
h_units='screen',
anchor=watermarkanchor,
dilate=True,
x_range_name="watermark",
y_range_name="watermark",
)
data_dict = df2.to_dict("records")
fitlabel = 'Fitness'
fatiguelabel = 'Fatigue'
formlabel = 'Freshness'
rightaxlabel = 'Freshness'
if dofatigue: # pragma: no cover
yaxlabel = 'Fitness/Fatigue'
else: # pragma: no cover
yaxlabel = 'Fitness'
if modelchoice == 'banister': # pragma: no cover
fitlabel = 'PTE (fitness)'
fatiguelabel = 'NTE (fatigue)'
formlabel = 'Performance'
rightaxlabel = 'Performance'
if dofatigue:
yaxlabel = 'PTE/NTE'
else:
yaxlabel = 'PTE'
chart_data = {
'data': data_dict,
'title': 'Performance Manager '+user.first_name,
'plotform' : doform,
'plotfatigue': dofatigue,
}
plot.xaxis.axis_label = None
plot.yaxis.axis_label = yaxlabel
y2rangemin = df.loc[:, ['form']].min().min()
y2rangemax = df.loc[:, ['form']].max().max()
if dofatigue: # pragma: no cover
y1rangemax = df.loc[:, ['fitness', 'fatigue']].max().max()*1.02
else: # pragma: no cover
y1rangemax = df.loc[:, ['fitness']].max().max()*1.02
if doform: # pragma: no cover
plot.extra_y_ranges["yax2"] = Range1d(start=y2rangemin, end=y2rangemax)
plot.add_layout(LinearAxis(y_range_name="yax2",
axis_label=rightaxlabel), "right")
plot.line('date', 'fitness', source=source, color='blue',
legend_label=fitlabel)
band = Band(base='date', upper='fitness', lower=0, source=source, level='underlay',
fill_alpha=0.2, fill_color='blue')
plot.add_layout(band)
if dofatigue: # pragma: no cover
plot.line('date', 'fatigue', source=source, color='red',
legend_label=fatiguelabel)
if doform: # pragma: no cover
plot.line('date', 'form', source=source, color='green',
legend_label=formlabel, y_range_name="yax2")
plot.legend.location = "top_left"
#plot.sizing_mode = 'scale_both'
startdate = datetime.datetime.combine(
startdate, datetime.datetime.min.time())
enddate = datetime.datetime.combine(enddate, datetime.datetime.min.time())
xrange = Range1d(
startdate, enddate,
)
plot.x_range = xrange
plot.y_range = Range1d(
start=0, end=y1rangemax,
)
plot.title.text = 'Performance Manager '+user.first_name
hover = plot.select(dict(type=HoverTool))
linked_crosshair = CrosshairTool(dimensions='height')
hover.tooltips = OrderedDict([
('Date', '@fdate'),
(fitlabel, '@fitness{int}'),
(fatiguelabel, '@fatigue{int}'),
(formlabel, '@form{int}'),
('Impulse', '@impulse{int}')
])
if showtests:
hover.tooltips = OrderedDict([
('Date', '@fdate'),
(fitlabel, '@fitness{int}'),
(fatiguelabel, '@fatigue{int}'),
(formlabel, '@form{int}'),
('Impulse', '@impulse{int}'),
('Gold Medal Score', '@testpower{int}'),
('Test', '@testduration'),
])
plot2 = figure(tools=TOOLS2, x_axis_type='datetime',
width=900, height=150,
toolbar_location=None,
toolbar_sticky=False)
plot2.x_range = xrange
plot2.y_range = Range1d(0, df['impulse'].max())
plot2.vbar(x=df['date'], top=df['impulse'], color='gray')
plot2.vbar(x=df['date'], top=0*df['testpower']+df['impulse'], color='red')
#plot2.sizing_mode = 'scale_both'
plot2.yaxis.axis_label = 'Impulse'
plot2.xaxis.axis_label = 'Date'
plot.add_tools(linked_crosshair)
plot2.add_tools(linked_crosshair)
mylayout = layoutcolumn([plot, plot2])
try:
script, div = components(mylayout)
except Exception as e: # pragma: no cover
df.dropna(inplace=True, axis=0, how='any')
return (
'',
'Something went wrong with the chart ({nrworkouts} workouts, {nrdata} datapoints, error {e})'.format(
nrworkouts=workouts.count(),
nrdata=len(df),
e=e,
), 0, 0, 0, []
)
script, div = get_chart("/performance", chart_data)
return [script, div, endfitness, endfatigue, endform, outids]
def interactive_histoall(theworkouts, histoparam, includereststrokes,
spmmin=0, spmmax=55,
extratitle='',

View File

@@ -8,6 +8,15 @@
<script type='text/javascript'
src='https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js'>
</script>
{% endblock %}
{% block main %}
<script src="https://d3js.org/d3.v6.js">
</script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js"></script>
<script>
function submit_form() {
@@ -25,11 +34,14 @@
dataType: 'json',
success: function(data) {
console.log(data.div);
// var parsedJSON = $.parseJSON(data); //
$("#id_script").replaceWith('<div id="id_script">'+data.script+'</d'+'iv>');
// $('#id_script').remove()
$("#id_chart").replaceWith('<div id="id_chart">'+data.div+'</d'+'iv>');
$("#id_chart").append(data.script)
$("#endfitness").html(data.endfitness)
$("#endfatigue").html(data.endfatigue)
$("#endform").html(data.endform)
@@ -59,19 +71,6 @@
});
});
</script>
{% endblock %}
{% block main %}
<script src="https://cdn.pydata.org/bokeh/release/bokeh-3.1.1.min.js"></script>
<script async="true" type="text/javascript">
Bokeh.set_log_level("info");
</script>
<div id="id_script">
{{ chartscript |safe }}
</div>
@@ -83,10 +82,12 @@
<ul class="main-content">
<canvas hidden id="canvas"></canvas>
<li class="grid_4">
<div id="id_chart">
{{ the_div|safe }}
</div>
</div>
</li>
<li class="grid_1">
<form id="performanceform" enctype="multipart/form-data" method="post">
@@ -188,6 +189,9 @@
</li>
</ul>
<div id="id_script">
{{ chartscript |safe }}
</div>
{% endblock %}