def limb_darkening():
"""The limb darkening form page. """
# Load default form
form = fv.LimbDarkeningForm()
# Reload page with stellar data from ExoMAST
if form.resolve_submit.data:
if form.targname.data.strip() != '':
try:
# Resolve the target in exoMAST
form.targname.data = get_canonical_name(form.targname.data)
data, target_url = get_target_data(form.targname.data)
# Update the form data
form.feh.data = data.get('Fe/H')
form.teff.data = data.get('Teff')
form.logg.data = data.get('stellar_gravity')
form.target_url.data = str(target_url)
except:
form.target_url.data = ''
form.targname.errors = [
"Sorry, could not resolve '{}' in exoMAST.".format(
form.targname.data)
]
# Send it back to the main page
return render_template('limb_darkening.html', form=form)
# Reload page with appropriate filter data
if form.filter_submit.data:
kwargs = {}
if form.bandpass.data == 'tophat':
kwargs['n_bins'] = 1
kwargs['pixels_per_bin'] = 100
kwargs['wave_min'] = 1 * u.um
kwargs['wave_max'] = 2 * u.um
# Get the filter
bandpass = svo.Filter(form.bandpass.data, **kwargs)
# Update the form data
form.wave_min.data = bandpass.wave_min.value
form.wave_max.data = bandpass.wave_max.value
# Send it back to the main page
return render_template('limb_darkening.html', form=form)
# Update validation values after a model grid is selected
if form.modelgrid_submit.data:
# Load the modelgrid
mg = ModelGrid(form.modeldir.data, resolution=500)
teff_rng = mg.Teff_vals.min(), mg.Teff_vals.max()
logg_rng = mg.logg_vals.min(), mg.logg_vals.max()
feh_rng = mg.FeH_vals.min(), mg.FeH_vals.max()
# Update the validation parameters by setting validator attributes
setattr(form.teff.validators[1], 'min', teff_rng[0])
setattr(form.teff.validators[1], 'max', teff_rng[1])
setattr(
form.teff.validators[1], 'message',
'Effective temperature must be between {} and {}'.format(
*teff_rng))
setattr(form.logg.validators[1], 'min', logg_rng[0])
setattr(form.logg.validators[1], 'max', logg_rng[1])
setattr(form.logg.validators[1], 'message',
'Surface gravity must be between {} and {}'.format(*logg_rng))
setattr(form.feh.validators[1], 'min', feh_rng[0])
setattr(form.feh.validators[1], 'max', feh_rng[1])
setattr(form.feh.validators[1], 'message',
'Metallicity must be between {} and {}'.format(*feh_rng))
# Send it back to the main page
return render_template('limb_darkening.html', form=form)
# Validate form and submit for results
if form.validate_on_submit() and form.calculate_submit.data:
# Get the stellar parameters
star_params = [
float(form.teff.data),
float(form.logg.data),
float(form.feh.data)
]
# Log the form inputs
try:
log_exoctk.log_form_input(request.form, 'limb_darkening', DB)
except:
pass
# Load the model grid
model_grid = ModelGrid(form.modeldir.data, resolution=500)
form.modeldir.data = [
j for i, j in form.modeldir.choices if i == form.modeldir.data
][0]
# Grism details
if '.G' in form.bandpass.data.upper(
) and 'GAIA' not in form.bandpass.data.upper():
kwargs = {
'n_bins': form.n_bins.data,
'pixels_per_bin': form.n_pix.data,
'wl_min': form.wave_min.data * u.um,
'wl_max': form.wave_max.data * u.um
}
else:
kwargs = {}
# Make filter object and plot
bandpass = svo.Filter(form.bandpass.data, **kwargs)
bp_name = bandpass.name
bk_plot = bandpass.plot(draw=False)
bk_plot.plot_width = 580
bk_plot.plot_height = 280
js_resources = INLINE.render_js()
css_resources = INLINE.render_css()
filt_script, filt_plot = components(bk_plot)
# Trim the grid to nearby grid points to speed up calculation
full_rng = [
model_grid.Teff_vals, model_grid.logg_vals, model_grid.FeH_vals
]
trim_rng = find_closest(full_rng, star_params, n=1, values=True)
# Calculate the coefficients for each profile
ld = lf.LDC(model_grid)
for prof in form.profiles.data:
ld.calculate(*star_params,
prof,
mu_min=float(form.mu_min.data),
bandpass=bandpass)
# Draw a figure for each wavelength bin
tabs = []
for wav in np.unique(ld.results['wave_eff']):
# Plot it
TOOLS = 'box_zoom, box_select, crosshair, reset, hover'
fig = figure(tools=TOOLS,
x_range=Range1d(0, 1),
y_range=Range1d(0, 1),
plot_width=800,
plot_height=400)
ld.plot(wave_eff=wav, fig=fig)
# Plot formatting
fig.legend.location = 'bottom_right'
fig.xaxis.axis_label = 'mu'
fig.yaxis.axis_label = 'Intensity'
tabs.append(Panel(child=fig, title=str(wav)))
final = Tabs(tabs=tabs)
# Get HTML
script, div = components(final)
# Store the tables as a string
file_as_string = str(ld.results[[
c for c in ld.results.dtype.names if ld.results.dtype[c] != object
]])
# Make a table for each profile with a row for each wavelength bin
profile_tables = []
for profile in form.profiles.data:
# Make LaTeX for polynomials
latex = lf.ld_profile(profile, latex=True)
poly = '\({}\)'.format(latex).replace('*',
'\cdot').replace('\e', 'e')
# Make the table into LaTeX
table = filter_table(ld.results, profile=profile)
co_cols = [
c for c in ld.results.colnames
if (c.startswith('c') or c.startswith('e')) and len(c) == 2
and not np.all([np.isnan(i) for i in table[c]])
]
table = table[['wave_min', 'wave_max'] + co_cols]
table.rename_column('wave_min',
'\(\lambda_\mbox{min}\hspace{5px}(\mu m)\)')
table.rename_column('wave_max',
'\(\lambda_\mbox{max}\hspace{5px}(\mu m)\)')
# Add the results to the lists
html_table = '\n'.join(table.pformat(max_width=500, html=True))\
.replace('<table', '<table id="myTable" class="table table-striped table-hover"')
# Add the table title
header = '<br></br><strong>{}</strong><br><p>\(I(\mu)/I(\mu=1)\) = {}</p>'.format(
profile, poly)
html_table = header + html_table
profile_tables.append(html_table)
return render_template('limb_darkening_results.html',
form=form,
table=profile_tables,
script=script,
plot=div,
file_as_string=repr(file_as_string),
filt_plot=filt_plot,
filt_script=filt_script,
js=js_resources,
css=css_resources)
return render_template('limb_darkening.html', form=form)
def contam_visibility():
"""The contamination and visibility form page"""
# Load default form
form = fv.ContamVisForm()
form.calculate_contam_submit.disabled = False
if request.method == 'GET':
# http://0.0.0.0:5000/contam_visibility?ra=24.354208334287005&dec=-45.677930555343636&target=WASP-18%20b
target_name = request.args.get('target')
form.targname.data = target_name
ra = request.args.get('ra')
form.ra.data = ra
dec = request.args.get('dec')
form.dec.data = dec
return render_template('contam_visibility.html', form=form)
# Reload page with stellar data from ExoMAST
if form.resolve_submit.data:
if form.targname.data.strip() != '':
# Resolve the target in exoMAST
try:
form.targname.data = get_canonical_name(form.targname.data)
data, url = get_target_data(form.targname.data)
# Update the coordinates
ra_deg = data.get('RA')
dec_deg = data.get('DEC')
# Set the form values
form.ra.data = ra_deg
form.dec.data = dec_deg
form.target_url.data = url
except:
form.target_url.data = ''
form.targname.errors = [
"Sorry, could not resolve '{}' in exoMAST.".format(
form.targname.data)
]
# Send it back to the main page
return render_template('contam_visibility.html', form=form)
# Reload page with appropriate mode data
if form.mode_submit.data:
# Update the button
if form.inst.data != 'NIRISS':
form.calculate_contam_submit.disabled = True
else:
form.calculate_contam_submit.disabled = False
# Send it back to the main page
return render_template('contam_visibility.html', form=form)
if form.validate_on_submit() and (form.calculate_submit.data
or form.calculate_contam_submit.data):
try:
# Log the form inputs
try:
log_exoctk.log_form_input(request.form, 'contam_visibility',
DB)
except:
pass
# Make plot
title = form.targname.data or ', '.join(
[form.ra.data, form.dec.data])
pG, pB, dates, vis_plot, table = vpa.using_gtvt(
str(form.ra.data), str(form.dec.data),
form.inst.data.split(' ')[0])
# Make output table
vers = '0.3'
today = datetime.datetime.now()
fh = StringIO()
fh.write('# Hi! This is your Visibility output file for... \n')
fh.write('# Target: {} \n'.format(form.targname.data))
fh.write('# Instrument: {} \n'.format(form.inst.data))
fh.write('# \n')
fh.write(
'# This file was generated using ExoCTK v{} on {} \n'.format(
vers, today))
fh.write('# Visit our GitHub: https://github.com/ExoCTK/exoctk \n')
fh.write('# \n')
table.write(fh, format='csv', delimiter=',')
visib_table = fh.getvalue()
# Format x axis
day0 = datetime.date(2019, 6, 1)
dtm = datetime.timedelta(days=367)
#vis_plot.x_range = Range1d(day0, day0 + dtm)
# TODO: Fix this so bad PAs are included
pB = []
# Make plot
TOOLS = 'crosshair, reset, hover, save'
fig = figure(tools=TOOLS,
plot_width=800,
plot_height=400,
x_axis_type='datetime',
title=title)
fh = StringIO()
table.write(fh, format='ascii')
visib_table = fh.getvalue()
# Format x axis
day0 = datetime.date(2019, 6, 1)
dtm = datetime.timedelta(days=367)
# Get scripts
vis_js = INLINE.render_js()
vis_css = INLINE.render_css()
vis_script, vis_div = components(vis_plot)
# Contamination plot too
if form.calculate_contam_submit.data:
# First convert ra and dec to HH:MM:SS
ra_deg, dec_deg = float(form.ra.data), float(form.dec.data)
sc = SkyCoord(ra_deg, dec_deg, unit='deg')
ra_dec = sc.to_string('hmsdms')
ra_hms, dec_dms = ra_dec.split(' ')[0], ra_dec.split(' ')[1]
# Make field simulation
contam_cube = fs.sossFieldSim(ra_hms,
dec_dms,
binComp=form.companion.data)
contam_plot = cf.contam(
contam_cube,
title,
paRange=[int(form.pa_min.data),
int(form.pa_max.data)],
badPA=pB,
fig='bokeh')
# Get scripts
contam_js = INLINE.render_js()
contam_css = INLINE.render_css()
contam_script, contam_div = components(contam_plot)
else:
contam_script = contam_div = contam_js = contam_css = ''
return render_template('contam_visibility_results.html',
form=form,
vis_plot=vis_div,
vis_table=visib_table,
vis_script=vis_script,
vis_js=vis_js,
vis_css=vis_css,
contam_plot=contam_div,
contam_script=contam_script,
contam_js=contam_js,
contam_css=contam_css)
except IOError: #Exception as e:
err = 'The following error occurred: ' + str(e)
return render_template('groups_integrations_error.html', err=err)
return render_template('contam_visibility.html', form=form)
def limb_darkening():
"""The limb darkening form page"""
# Get all the available filters
filters = svo.filters()['Band']
# Make HTML for filters
filt_list = '\n'.join(['<option value="{0}"{1}> {0}</option>'.format(b, ' selected' if b == 'Kepler.K' else '') for b in filters])
if request.method == 'POST':
if request.form['submit'] == "Retrieve Parameters":
target_name = request.form['targetname']
data = get_target_data(target_name)
feh = data['Fe/H']
teff = data['Teff']
logg = data['stellar_gravity']
limbVars = {'targname':target_name, 'feh': feh, 'teff':teff, 'logg':logg}
return render_template('limb_darkening.html', limbVars=limbVars, filters=filt_list)
elif request.form['submit'] == "Calculate Coefficients":
# Log the form inputs
try:
log_exoctk.log_form_input(request.form, 'limb_darkening', DB)
except:
pass
# Get the input from the form
modeldir = request.form['modeldir']
profiles = list(filter(None, [request.form.get(pf) for pf in PROFILES]))
bandpass = request.form['bandpass']
# protect against injection attempts
bandpass = bandpass.replace('<', '<')
profiles = [str(p).replace('<', '<') for p in profiles]
# Get models from local directory if necessary
if modeldir == 'default':
modeldir = MODELGRID_DIR
# Throw error if input params are invalid
try:
teff = float(request.form['teff'])
logg = float(request.form['logg'])
feh = float(request.form['feh'])
mu_min = float(request.form['mu_min'])
except IOError:
teff = str(request.form['teff']).replace('<', '<')
logg = str(request.form['logg']).replace('<', '<')
feh = str(request.form['feh']).replace('<', '<')
message = 'Could not calculate limb darkening for those parameters.'
return render_template('limb_darkening_error.html', teff=teff,
logg=logg, feh=feh, band=bandpass or 'None',
profile=', '.join(profiles), models=modeldir,
message=message)
n_bins = request.form.get('n_bins')
pixels_per_bin = request.form.get('pixels_per_bin')
wl_min = request.form.get('wave_min')
wl_max = request.form.get('wave_max')
model_grid = ModelGrid(modeldir, resolution=500)
# No data, redirect to the error page
if not hasattr(model_grid, 'data'):
message = 'Could not find a model grid to load. Please check the path.'
return render_template('limb_darkening_error.html', teff=teff,
logg=logg, feh=feh, band=bandpass or 'None',
profile=', '.join(profiles),
models=model_grid.path, message=message)
else:
if len(model_grid.data) == 0:
message = 'Could not calculate limb darkening with those parameters.'
return render_template('limb_darkening_error.html', teff=teff,
logg=logg, feh=feh,
band=bandpass or 'None',
profile=', '.join(profiles),
models=model_grid.path, message=message)
# Trim the grid to the correct wavelength
# to speed up calculations, if a bandpass is given
min_max = model_grid.wave_rng
try:
kwargs = {'n_bins': int(n_bins)} if n_bins else \
{'pixels_per_bin': int(pixels_per_bin)} if pixels_per_bin else\
{}
if wl_min and wl_max:
kwargs['wl_min'] = float(wl_min) * u.um
kwargs['wl_max'] = float(wl_max) * u.um
# Make filter object
bandpass = svo.Filter(bandpass, **kwargs)
bp_name = bandpass.name
bk_plot = bandpass.plot(draw=False)
bk_plot.plot_width = 580
bk_plot.plot_height = 280
min_max = (bandpass.wave_min.value, bandpass.wave_max.value)
n_bins = bandpass.n_bins
js_resources = INLINE.render_js()
css_resources = INLINE.render_css()
filt_script, filt_plot = components(bk_plot)
except:
message = 'Insufficient filter information. Please complete the form and try again!'
return render_template('limb_darkening_error.html', teff=teff,
logg=logg, feh=feh, band=bandpass or 'None',
profile=', '.join(profiles),
models=model_grid.path, message=message)
# Trim the grid to nearby grid points to speed up calculation
full_rng = [model_grid.Teff_vals, model_grid.logg_vals, model_grid.FeH_vals]
trim_rng = find_closest(full_rng, [teff, logg, feh], n=1, values=True)
if not trim_rng:
message = 'Insufficient models grid points to calculate coefficients.'
return render_template('limb_darkening_error.html', teff=teff,
logg=logg, feh=feh, band=bp_name,
profile=', '.join(profiles),
models=model_grid.path, message=message)
elif not profiles:
message = 'No limb darkening profiles have been selected. Please select at least one.'
return render_template('limb_darkening_error.html', teff=teff,
logg=logg, feh=feh, band=bp_name,
profile=', '.join(profiles),
models=model_grid.path, message=message)
else:
try:
model_grid.customize(Teff_rng=trim_rng[0], logg_rng=trim_rng[1],
FeH_rng=trim_rng[2], wave_rng=min_max)
except:
message = 'Insufficient wavelength coverage to calculate coefficients.'
return render_template('limb_darkening_error.html', teff=teff,
logg=logg, feh=feh, band=bp_name,
profile=', '.join(profiles),
models=model_grid.path, message=message)
# Calculate the coefficients for each profile
ld = lf.LDC(model_grid)
for prof in profiles:
ld.calculate(teff, logg, feh, prof, mu_min=mu_min, bandpass=bandpass)
# Draw a figure for each wavelength bin
tabs = []
for wav in np.unique(ld.results['wave_eff']):
# Plot it
TOOLS = 'box_zoom, box_select, crosshair, reset, hover'
fig = figure(tools=TOOLS, x_range=Range1d(0, 1), y_range=Range1d(0, 1),
plot_width=800, plot_height=400)
ld.plot(wave_eff=wav, fig=fig)
# Plot formatting
fig.legend.location = 'bottom_right'
fig.xaxis.axis_label = 'mu'
fig.yaxis.axis_label = 'Intensity'
tabs.append(Panel(child=fig, title=str(wav)))
final = Tabs(tabs=tabs)
# Get HTML
script, div = components(final)
# Store the tables as a string
file_as_string = str(ld.results[[c for c in ld.results.dtype.names if
ld.results.dtype[c] != object]])
r_eff = mu_eff = ''
# Make a table for each profile with a row for each wavelength bin
profile_tables = []
for profile in profiles:
# Make LaTeX for polynomials
latex = lf.ld_profile(profile, latex=True)
poly = '\({}\)'.format(latex).replace('*', '\cdot').replace('\e', 'e')
# Make the table into LaTeX
table = filter_table(ld.results, profile=profile)
co_cols = [c for c in ld.results.colnames if (c.startswith('c') or
c.startswith('e')) and len(c) == 2 and not
np.all([np.isnan(i) for i in table[c]])]
table = table[['wave_min', 'wave_max'] + co_cols]
table.rename_column('wave_min', '\(\lambda_\mbox{min}\hspace{5px}(\mu m)\)')
table.rename_column('wave_max', '\(\lambda_\mbox{max}\hspace{5px}(\mu m)\)')
# Add the results to the lists
html_table = '\n'.join(table.pformat(max_width=500, html=True))\
.replace('<table', '<table id="myTable" class="table table-striped table-hover"')
# Add the table title
header = '<br></br><strong>{}</strong><br><p>\(I(\mu)/I(\mu=1)\) = {}</p>'.format(profile, poly)
html_table = header + html_table
profile_tables.append(html_table)
return render_template('limb_darkening_results.html', teff=teff,
logg=logg, feh=feh, band=bp_name, mu=mu_eff,
profile=', '.join(profiles), r=r_eff,
models=model_grid.path, table=profile_tables,
script=script, plot=div,
file_as_string=repr(file_as_string),
filt_plot=filt_plot, filt_script=filt_script,
js=js_resources, css=css_resources)
return render_template('limb_darkening.html', limbVars={}, filters=filt_list)
def contam_visibility():
"""The contamination and visibility form page"""
# Load default form
form = fv.ContamVisForm()
form.calculate_contam_submit.disabled = False
if request.method == 'GET':
# http://0.0.0.0:5000/contam_visibility?ra=24.354208334287005&dec=-45.677930555343636&target=WASP-18%20b
target_name = request.args.get('target')
form.targname.data = target_name
ra = request.args.get('ra')
form.ra.data = ra
dec = request.args.get('dec')
form.dec.data = dec
return render_template('contam_visibility.html', form=form)
# Reload page with stellar data from ExoMAST
if form.resolve_submit.data:
if form.targname.data.strip() != '':
# Resolve the target in exoMAST
try:
form.targname.data = get_canonical_name(form.targname.data)
data, url = get_target_data(form.targname.data)
# Update the coordinates
ra_deg = data.get('RA')
dec_deg = data.get('DEC')
# Set the form values
form.ra.data = ra_deg
form.dec.data = dec_deg
form.target_url.data = url
except Exception:
form.target_url.data = ''
form.targname.errors = [
"Sorry, could not resolve '{}' in exoMAST.".format(
form.targname.data)
]
# Send it back to the main page
return render_template('contam_visibility.html', form=form)
# Reload page with appropriate mode data
if form.mode_submit.data:
# Update the button
if (form.inst.data == 'MIRI') or (form.inst.data == 'NIRSpec'):
form.calculate_contam_submit.disabled = True
else:
form.calculate_contam_submit.disabled = False
# Send it back to the main page
return render_template('contam_visibility.html', form=form)
if form.validate_on_submit() and (form.calculate_submit.data
or form.calculate_contam_submit.data):
try:
# Log the form inputs
try:
log_exoctk.log_form_input(request.form, 'contam_visibility',
DB)
except Exception:
pass
# Make plot
title = form.targname.data or ', '.join(
[str(form.ra.data), str(form.dec.data)])
pG, pB, dates, vis_plot, table, badPAs = vpa.using_gtvt(
str(form.ra.data),
str(form.dec.data),
form.inst.data.split(' ')[0],
targetName=str(title))
# Make output table
fh = StringIO()
table.write(fh, format='csv', delimiter=',')
visib_table = fh.getvalue()
# Get scripts
vis_js = INLINE.render_js()
vis_css = INLINE.render_css()
vis_script, vis_div = components(vis_plot)
# Contamination plot too
if form.calculate_contam_submit.data:
# First convert ra and dec to HH:MM:SS
ra_deg, dec_deg = float(form.ra.data), float(form.dec.data)
sc = SkyCoord(ra_deg, dec_deg, unit='deg')
ra_dec = sc.to_string('hmsdms')
ra_hms, dec_dms = ra_dec.split(' ')[0], ra_dec.split(' ')[1]
# Make field simulation
contam_cube = fs.fieldSim(ra_hms,
dec_dms,
form.inst.data,
binComp=form.companion.data)
contam_plot = cf.contam(
contam_cube,
form.inst.data,
targetName=str(title),
paRange=[int(form.pa_min.data),
int(form.pa_max.data)],
badPAs=badPAs,
fig='bokeh')
# Get scripts
contam_js = INLINE.render_js()
contam_css = INLINE.render_css()
contam_script, contam_div = components(contam_plot)
else:
contam_script = contam_div = contam_js = contam_css = ''
return render_template('contam_visibility_results.html',
form=form,
vis_plot=vis_div,
vis_table=visib_table,
vis_script=vis_script,
vis_js=vis_js,
vis_css=vis_css,
contam_plot=contam_div,
contam_script=contam_script,
contam_js=contam_js,
contam_css=contam_css)
except Exception as e:
err = 'The following error occurred: ' + str(e)
return render_template('groups_integrations_error.html', err=err)
return render_template('contam_visibility.html', form=form)
def contam_visibility():
"""The contamination and visibility form page"""
# Log the form inputs
try:
log_exoctk.log_form_input(request.form, 'contam_visibility', DB)
except:
pass
contamVars = {}
if request.method == 'POST':
tname = request.form['targetname']
contamVars['tname'] = tname
contamVars['ra'], contamVars['dec'] = request.form['ra'], request.form['dec']
contamVars['PAmax'] = request.form['pamax']
contamVars['PAmin'] = request.form['pamin']
if request.form['bininfo'] != '':
contamVars['binComp'] = list(map(float, request.form['bininfo'].split(', ')))
else:
contamVars['binComp'] = request.form['bininfo']
radec = ', '.join([contamVars['ra'], contamVars['dec']])
if contamVars['PAmax'] == '':
contamVars['PAmax'] = 359
if contamVars['PAmin'] == '':
contamVars['PAmin'] = 0
if request.form['submit'] == 'Resolve Target':
contamVars['ra'], contamVars['dec'] = resolve.resolve_target(tname)
return render_template('contam_visibility.html', contamVars=contamVars)
else:
try:
contamVars['visPA'] = True
# Make plot
TOOLS = 'crosshair, reset, hover, save'
fig = figure(tools=TOOLS, plot_width=800, plot_height=400,
x_axis_type='datetime',
title=contamVars['tname'] or radec)
pG, pB, dates, vis_plot = vpa.checkVisPA(contamVars['ra'],
contamVars['dec'],
tname, fig=fig)
# Format x axis
day0 = datetime.date(2019, 6, 1)
dtm = datetime.timedelta(days=367)
vis_plot.x_range = Range1d(day0, day0 + dtm)
# Get scripts
vis_js = INLINE.render_js()
vis_css = INLINE.render_css()
vis_script, vis_div = components(vis_plot)
if request.form['submit'] == 'Calculate Visibility and Contamination':
contamVars['contam'] = True
# Make field simulation
contam_cube = fs.sossFieldSim(contamVars['ra'],
contamVars['dec'],
binComp=contamVars['binComp'])
contam_plot = cf.contam(contam_cube,
contamVars['tname'] or radec,
paRange=[int(contamVars['PAmin']),
int(contamVars['PAmax'])],
badPA=pB, fig='bokeh')
# Get scripts
contam_js = INLINE.render_js()
contam_css = INLINE.render_css()
contam_script, contam_div = components(contam_plot)
else:
contamVars['contam'] = False
contam_script = contam_div = contam_js = contam_css = ''
return render_template('contam_visibility_results.html',
contamVars=contamVars, vis_plot=vis_div,
vis_script=vis_script, vis_js=vis_js,
vis_css=vis_css, contam_plot=contam_div,
contam_script=contam_script,
contam_js=contam_js,
contam_css=contam_css)
except Exception as e:
err = 'The following error occurred: ' + str(e)
return render_template('groups_integrations_error.html', err=err)
return render_template('contam_visibility.html', contamVars=contamVars)