def go():
xaxis = str(e.request.params['xaxis'])
yaxis = str(e.request.params['yaxis'])
ndp, dp = self.get_ndp_dp_e(e)
fnames = ndp.get_fnames()
rnames = ndp.get_rnames()
if not xaxis in fnames:
msg = 'Could not find function %r.' % xaxis
raise_desc(ValueError, msg, fnames=fnames)
if not yaxis in rnames:
msg = 'Could not find resource %r.' % yaxis
raise_desc(ValueError, msg, rnames=rnames)
fsamples = get_samples(e.request, ndp)
nl = int(e.request.params.get('nl', 1))
nu = int(e.request.params.get('nu', 1))
dpl, dpu = get_dp_bounds(dp, nl, nu)
def extract_ri(r):
if len(rnames) == 1:
return r
else:
i = rnames.index(yaxis)
return r[i]
ru_samples = []
rl_samples = []
for f in fsamples:
rl = dpl.solve(f)
ru = dpu.solve(f)
mcdp_dev_warning('should use join instead of min')
values = filter(extract_ri, rl.minimals)
rli = min(values) if values else None
values = filter(extract_ri, ru.minimals)
rui = max(values) if values else None
ru_samples.append(rui)
rl_samples.append(rli)
r = Report()
f = r.figure()
with f.plot("plot") as pylab:
pylab.plot(fsamples, rl_samples, 'b.-')
pylab.plot(fsamples, ru_samples, 'm.-')
xlabel = xaxis + ' ' + format_unit(ndp.get_ftype(xaxis))
pylab.xlabel(xlabel)
ylabel = yaxis + ' ' + format_unit(ndp.get_rtype(yaxis))
pylab.ylabel(ylabel)
y_axis_extra_space(pylab)
x_axis_extra_space(pylab)
ax = pylab.gca()
XCOLOR = 'green'
YCOLOR = 'red'
ax.tick_params(axis='x', colors=XCOLOR)
ax.tick_params(axis='y', colors=YCOLOR)
ax.yaxis.label.set_color(YCOLOR)
ax.xaxis.label.set_color(XCOLOR)
ax.spines['bottom'].set_color(XCOLOR)
ax.spines['left'].set_color(YCOLOR)
png_node = r.resolve_url('png')
png_data = png_node.get_raw_data()
return response_data(request=e.request,
data=png_data,
content_type='image/png')
def res_label(rn):
if rn is None:
return '(unused)'
return rn + ' ' + format_unit(self.ndp.get_rtype(rn))
def fun_label(fn):
if fn is None:
return '(unused)'
return fn + ' ' + format_unit(self.ndp.get_ftype(fn))
def res_label(rn):
if rn is None:
return '(unused)'
return rn + ' ' + format_unit(self.ndp.get_rtype(rn))
def fun_label(fn):
if fn is None:
return '(unused)'
return fn + ' ' + format_unit(self.ndp.get_ftype(fn))
def go():
xaxis = str(request.params['xaxis'])
yaxis = str(request.params['yaxis'])
model_name = self.get_model_name(request)
library = self.get_current_library_name(request)
ndp, dp = self._get_ndp_dp(library, model_name)
fnames = ndp.get_fnames()
rnames = ndp.get_rnames()
if not xaxis in fnames:
msg = 'Could not find function %r.' % xaxis
raise_desc(ValueError, msg, fnames=fnames)
if not yaxis in rnames:
msg = 'Could not find resource %r.' % yaxis
raise_desc(ValueError, msg, rnames=rnames)
fsamples = get_samples(request, ndp)
nl = int(request.params.get('nl', 1))
nu = int(request.params.get('nu', 1))
dpl, dpu = get_dp_bounds(dp, nl, nu)
def extract_ri(r):
if len(rnames) == 1:
return r
else:
i = rnames.index(yaxis)
return r[i]
ru_samples = []
rl_samples = []
for f in fsamples:
rl = dpl.solve(f)
ru = dpu.solve(f)
mcdp_dev_warning('should use join instead of min')
values = filter(extract_ri, rl.minimals)
rli = min(values) if values else None
values = filter(extract_ri, ru.minimals)
rui = max(values) if values else None
ru_samples.append(rui)
rl_samples.append(rli)
r = Report()
f = r.figure()
with f.plot("plot") as pylab:
pylab.plot(fsamples, rl_samples, 'b.-')
pylab.plot(fsamples, ru_samples, 'm.-')
xlabel = xaxis + ' ' + format_unit(ndp.get_ftype(xaxis))
pylab.xlabel(xlabel)
ylabel = yaxis + ' ' + format_unit(ndp.get_rtype(yaxis))
pylab.ylabel(ylabel)
y_axis_extra_space(pylab)
x_axis_extra_space(pylab)
ax = pylab.gca()
XCOLOR = 'green'
YCOLOR = 'red'
ax.tick_params(axis='x', colors=XCOLOR)
ax.tick_params(axis='y', colors=YCOLOR)
ax.yaxis.label.set_color(YCOLOR)
ax.xaxis.label.set_color(XCOLOR)
ax.spines['bottom'].set_color(XCOLOR)
ax.spines['left'].set_color(YCOLOR)
png_node = r.resolve_url('png')
png_data = png_node.get_raw_data()
return response_data(request=request, data=png_data,
content_type='image/png')