def createPage(droneurl):
req = Request(droneurl, headers={"X-Api-Key" : apikey})
try:
response = urlopen(req)
except HTTPError as e:
page.div('HTTPError:' + str(e.code),class_="show")
writeout(config.get('output', 'filename') + '.html',str(page))
except URLError as e:
page.div('URLError: ' + str(e.reason),class_="show")
writeout(config.get('output', 'filename') + '.html',str(page))
else:
try:
data = loads(response.read())
except ValueError as e:
page.div('ValueError: ' + str(e),class_="show")
writeout(config.get('output', 'filename') + '.html',str(page))
else:
if len(data) == 0:
page.div("Uh oh! Doesn't look like you have any shows today! :(\nAdd more " + nest.a("here!",href=ndbaseurl),class_="show")
writeout(config.get('output', 'filename') + '.html',str(page))
else:
page.div(config.get('output', 'head'),id="head")
for x in range(len(data)):
title = data[x]['title'].encode('utf-8')
series = data[x]['series']['title'].encode('utf-8')
airtime = data[x]['series']['airTime'].encode('utf-8')
overview = data[x]['overview'].encode('utf-8')
banner = data[x]['series']['images'][0]['url'].encode('utf-8')
if overview:
page.div(nest.img(src=banner,class_="roundimg") + nest.div(series + ": " + title, class_="title") + nest.div(airtime, class_="airtime") + nest.div(overview, class_="overview"), class_="show")
else:
page.div(nest.img(src=banner,class_="roundimg") + nest.div(series + ": " + title, class_="title") + nest.div(airtime, class_="airtime"), class_="show")
writeout(config.get('output', 'filename') + '.html',str(page))
def display(self):
'''This method serves the Component class and the make_html
function defined in the cmf_models module. It returns an html
description of self and writes a plot to 'eos.jpg'.
'''
# Write file named eos.jpg
fig = plt.figure('eos',figsize=(7,5))
ax = fig.add_subplot(1,1,1)
ax.set_xlabel(r'$x/{\rm cm}$')
ax.set_ylabel(r'$f/{\rm dyn}$')
x = np.linspace(.4,4,100)
y = self(x)
ax.plot(x,y)
fig.savefig('eos.jpg', format='jpg')
# Make an html formated return value
html = oneliner.p('''
Table of coefficients for spline representation of force
as a function of position along the barrel''')
html += oneliner.p(self.get_c().__str__())
html += oneliner.p('''
Plot of force as a function of position along the barrel''')
html += oneliner.img(
width=700, height=500, alt='plot of eos', src='eos.jpg')
return html
def createPage(droneurl):
req = Request(droneurl, headers={"X-Api-Key": apikey})
try:
response = urlopen(req)
except HTTPError as e:
page.div('HTTPError:' + str(e.code), class_="show")
writeout(config.get('output', 'filename') + '.html', str(page))
except URLError as e:
page.div('URLError: ' + str(e.reason), class_="show")
writeout(config.get('output', 'filename') + '.html', str(page))
else:
try:
data = loads(response.read())
except ValueError as e:
page.div('ValueError: ' + str(e), class_="show")
writeout(config.get('output', 'filename') + '.html', str(page))
else:
if len(data) == 0:
page.div(
"Uh oh! Doesn't look like you have any shows today! :(\nAdd more "
+ nest.a("here!", href=ndbaseurl),
class_="show")
writeout(config.get('output', 'filename') + '.html', str(page))
else:
page.div(config.get('output', 'head'), id="head")
for x in range(len(data)):
title = data[x]['title'].encode('utf-8')
series = data[x]['series']['title'].encode('utf-8')
airtime = data[x]['series']['airTime'].encode('utf-8')
overview = data[x]['overview'].encode('utf-8')
banner = data[x]['series']['images'][0]['url'].encode(
'utf-8')
if overview:
page.div(
nest.img(src=banner, class_="roundimg") +
nest.div(series + ": " + title, class_="title") +
nest.div(airtime, class_="airtime") +
nest.div(overview, class_="overview"),
class_="show")
else:
page.div(
nest.img(src=banner, class_="roundimg") +
nest.div(series + ": " + title, class_="title") +
nest.div(airtime, class_="airtime"),
class_="show")
writeout(config.get('output', 'filename') + '.html', str(page))
def putResultsTable(p, b, data, id):
# p -> page
# data -> html_filename, pathwayName, summary dictionary (one row per pathway)
r = data[0]
summaryVals = r[2]
header = summaryVals["order"]
p.table(border=b, id=id, class_='tablesorter')
p.thead()
p.tr()
p.th("Image")
p.th("Name")
p.th(header, class_="{sorter:'digit'}")
p.tr.close()
p.thead.close()
p.tbody()
rowCount = 0
rowSum = [0 for h in header]
for r in data:
htmlFile = r[0]
pathwayName = r[1]
summaryVals = r[2]
p.tr()
base = os.path.basename(htmlFile)
#plot of ipls
p.td(o.a(o.img(src=pngBase + base[:-5] + ".png", width=100),
href=base))
#link to pathway details page
p.td(o.a(pathwayName, href=base))
vals = [round(summaryVals[h], 3) for h in header]
#additional columns of data
p.td(vals)
i = 0
#add data to totals for bottom of page
for h in header:
rowSum[i] += summaryVals[h]
i += 1
#end of row
p.tr.close()
p.tbody.close()
p.tbody()
p.tr()
p.td('')
p.td('Total')
# last row in table is sums
p.td(rowSum)
p.tr.close()
p.tbody.close()
p.table.close()
def putResultsTable(p, b, data, id):
r = data[0]
summaryVals = r[2]
header = summaryVals["order"]
p.table(border=b, id=id, class_='tablesorter')
p.thead()
p.tr()
p.th("Image")
p.th("Name")
p.th(header, class_="{sorter:'digit'}")
p.tr.close()
p.thead.close()
p.tbody()
rowCount = 0
rowSum = [0 for h in header]
for r in data:
htmlFile = r[0]
pathwayName = r[1]
summaryVals = r[2]
p.tr()
base = os.path.basename(htmlFile)
p.td(o.a(o.img(src=pngDir + base[:-5] + ".png", width=100), href=base))
p.td(o.a(pathwayName, href=base))
vals = [round(summaryVals[h], 3) for h in header]
p.td(vals)
i = 0
for h in header:
rowSum[i] += summaryVals[h]
i += 1
p.tr.close()
p.tbody.close()
p.tbody()
p.tr()
p.td('')
p.td('Total')
p.td(rowSum)
p.tr.close()
p.tbody.close()
p.table.close()
def theme_footer(links, noendbody=None):
print "</table></table>"
## foot_table = TableLite(border=0, width="100%", align="center",
## cellspacing=0, cellpadding=0, bgcolor="#6696bc")
## cont = Container()
cont = markup.page()
cont.table(border=0,width="100%", align="center",
cellspacing=0, cellpadding=0, bgcolor="#6696bc")
cont.tr()
cont.td()
for i in range(len(links)):
uri, uritxt = links[i]
if "/" == uri:
uri = "/?cat=%s" % module_info["category"]
elif "" == uri and module_name:
uri = "/%s" % module_name
elif "?" == uri[0] and module_name:
uri = "/%s/%s" % (module_name, uri)
if 0 == i:
## cont.append(" ",
## Href(uri, IMG("/images/arrow.jpg",
## align="middle", border="0",
## alt="<-")))
cont.add(" ")
cont.a(e.img(src="/images/arrow.jpg", alt="<-", border="0", align="middle"),href=uri)
else:
cont.add(" ")
## cont.append(" ", Href(uri, textsub("main_return", uritxt)))
cont.add(" ")
cont.a(textsub("main_return", uritxt),href=uri)
## foot_table.append(TR(TD(cont)))
cont.td.close()
cont.tr.close()
cont.table.close()
print cont
#!/usr/bin/env python
import inspect, os, errno, markup
path = os.path.dirname(os.path.abspath(inspect.getfile(
inspect.currentframe()))) + '/www/img/' # script directory
print path
counter = 1
el = len(os.listdir(path))
for f in os.listdir(path):
if f[0] is ".":
continue
page = markup.page()
page.init(charset="UTF-8")
from markup import oneliner as e
if counter + 1 == el:
page.a(e.img(src='img/' + f, width=1024), href='index1.html')
else:
page.a(e.img(src='img/' + f, width=1024),
href='index' + str(counter + 1) + '.html')
final = open('www/index' + str(counter) + '.html', 'w')
counter = counter + 1
final.write(str(page))
final.close()
def putResultsTable(p, b, data, id):
# p -> page
# data -> html_filename, pathwayName, summary dictionary (one row per pathway)
r = data[0]
summaryVals = r[2]
header = summaryVals["order"]
p.table(border=b, id=id, class_='tablesorter')
p.thead()
p.tr()
p.th("Image")
p.th("Name")
p.th(header, class_="{sorter:'digit'}")
p.tr.close()
p.thead.close()
summary_tsv = open(rootDir + '/summary.tsv', 'wb')
summary_tsv.write(
"Pathway\tAvg num Alterations\tTotal alterations\tnum genes\tmin mean truth\tmax mean truth\tmin mean any\tmax mean any\tnormalized activity\n"
)
p.tbody()
rowCount = 0
rowSum = [0 for h in header]
for r in data:
htmlFile = r[0]
pathwayName = r[1]
summaryVals = r[2]
p.tr()
base = os.path.basename(htmlFile)
#plot of ipls
p.td(o.a(o.img(src=pngBase + base[:-5] + ".png", width=100),
href=base))
#link to pathway details page
p.td(o.a(pathwayName, href=base))
summary_tsv.write(pathwayName + '\t')
vals = [round(summaryVals[h], 3) for h in header]
for v in vals:
summary_tsv.write(str(v) + '\t')
#additional columns of data
p.td(vals)
i = 0
#add data to totals for bottom of page
for h in header:
rowSum[i] += summaryVals[h]
i += 1
#end of row
summary_tsv.write('\n')
p.tr.close()
summary_tsv.close()
p.tbody.close()
p.tbody()
p.tr()
p.td('')
p.td('Total')
# last row in table is sums
p.td(rowSum)
p.tr.close()
p.tbody.close()
p.table.close()
def htmloutput(ind_run_name,accuracy,uniquetarget_tr,recall,precision,score,clf,col_names,plots_col_cont_outnames\
,plots_col_cont_true_outnames,plots_col_rad_outnames,plots_bandvprob_outnames,plots_feat_outname\
,plots_feat_per_class_outname,plots_colourvprob_outnames,image_IDs,feat_names,plots_mic_outnames,plots_pearson_outnames\
,plots_mic_contributions_outnames,results_dict,decision_boundaries_outnames,plots_depth_acc_outnames):
# Make index html
os.chdir(settings.programpath)
html_title='Results for run: %s' %ind_run_name
page = markup.page()
page.init(title=html_title)
page.p(page.h3("Results for run: %s" %ind_run_name))
page.a( "Home",href="index.html")
page.a( "Example Tree",href="trees.html")
page.a( "Plots",href="plots.html")
page.a( "Images",href="images.html")
page.p( "Accuracy: %s" %accuracy)
page.p("")
#TABLES
for j in range(len(results_dict)):
page.table(border=1)
page.tr(),page.th(results_dict[j]['run_name'])
for i in range(len(results_dict[j]['uniquetarget_tr'])):
page.th(results_dict[j]['uniquetarget_tr'][0][i])
page.tr.close()
page.tr(),page.td(),page.b("Recall"),page.td.close()
for i in range(len(results_dict[j]['recall'])):
page.td(round(results_dict[j]['recall'][i],5))
page.tr.close()
page.tr(),page.td(),page.b("Precision"),page.td.close()
for i in range(len(results_dict[j]['precision'])):
page.td(round(results_dict[j]['precision'][i],5))
page.tr.close()
page.tr(),page.td(),page.b("F1 Score"),page.td.close()
for i in range(len(results_dict[j]['score'])):
page.td(round(results_dict[j]['score'][i],5))
page.tr.close()
page.table.close()
# Write out settings
html_settings=("Number of training objects: %s" %settings.traindatanum,"Number of prediction objects: %s" %settings.predictdatanum\
,"","Random Forest Settings:",clf\
,"","Features:"," Filters: %s" %settings.filters, " Colours: %s" %col_names, " Other: %s" %settings.othertrain)
page.p(html_settings)
# Save html
html_file= open("index.html","w")
html_file.write(page())
html_file.close()
# Create tree page
page_tree = markup.page()
page_tree.init(title=html_title+" Example Tree")
page_tree.p(page_tree.h3("Results for run: %s Example Tree" %ind_run_name))
page_tree.a( "Home",href="index.html")
page_tree.a( "Example Tree",href="trees.html")
page_tree.a( "Plots",href="plots.html")
page_tree.a( "Images",href="images.html")
page_tree.p("Example Tree")
page_tree.img(src="plots/tree_example.png")
html_file= open("trees.html","w")
html_file.write(page_tree())
html_file.close()
# Create pages for plots
page_plots = markup.page()
page_plots.init(title=html_title+" Plots")
page_plots.p(page_plots.h3("Results for run: %s Plots" %ind_run_name))
page_plots.a( "Home",href="index.html")
page_plots.a( "Example Tree",href="trees.html")
page_plots.a( "Plots",href="plots.html")
page_plots.a( "Images",href="images.html")
page_plots.p("")
page_plots_col_cont = markup.page()
page_plots_col_cont.init(title=html_title+" Plots_col_cont")
page_plots_col_cont.p(page_plots_col_cont.h3("Results for run: %s Plots_col_cont" %ind_run_name))
page_plots_col_cont.a( "Home",href="index.html")
page_plots_col_cont.a( "Example Tree",href="trees.html")
page_plots_col_cont.a( "Plots",href="plots.html")
page_plots_col_cont.a( "Images",href="images.html")
page_plots_col_cont.p("")
page_plots_col_cont.a( "plot_col_cont",href="plots_col_cont.html")
page_plots_col_cont.a( "plot_col_rad",href="plots_col_rad.html")
page_plots_col_cont.p("")
for i in range(len(plots_col_cont_outnames)):
page_plots_col_cont.div(style='width: 2000px; height: 600px;',id='cc%s' %i)
page_plots_col_cont.p(["",plots_col_cont_outnames[i]]),page_plots_col_cont.p(["",plots_col_cont_true_outnames[i]])
page_plots_col_cont.img(src=plots_col_cont_outnames[i]),page_plots_col_cont.img(src=plots_col_cont_true_outnames[i])
page_plots_col_cont.div.close()
page_plots_col_rad = markup.page()
page_plots_col_rad.init(title=html_title+" Plots_col_rad")
page_plots_col_rad.p(page_plots_col_rad.h3("Results for run: %s Plots_col_rad" %ind_run_name))
page_plots_col_rad.a( "Home",href="index.html")
page_plots_col_rad.a( "Example Tree",href="trees.html")
page_plots_col_rad.a( "Plots",href="plots.html")
page_plots_col_rad.a( "Images",href="images.html")
page_plots_col_rad.p("")
page_plots_col_rad.a( "plot_col_cont",href="plots_col_cont.html")
page_plots_col_rad.a( "plot_col_rad",href="plots_col_rad.html")
page_plots_col_rad.p("")
for i in range(len(plots_col_rad_outnames)):
page_plots_col_rad.p(["",plots_col_rad_outnames[i]])
page_plots_col_rad.img(src=plots_col_rad_outnames[i])
page_plots.a( "plot_col_cont",href="plots_col_cont.html")
page_plots.a( "plot_col_rad",href="plots_col_rad.html")
page_plots.p("")
page_plots.p("Overall Feature Importance")
page_plots.img(src=plots_feat_outname)
page_plots.p("")
if settings.one_vs_all == 1:
page_plots.p("Feature importance per class")
page_plots.img(src=plots_feat_per_class_outname)
if (settings.plot_mic ==1 and settings.plot_pearson == 1 and settings.plot_mic_cont == 1):
page_plots.p("Maximal Information Coefficients")
for i in range(len(plots_mic_outnames)):
page_plots.div(style='width: 2000px; height: 600px;')
page_plots.p(plots_mic_outnames[i]),page_plots.p(plots_pearson_outnames[i])
page_plots.img(src=plots_mic_outnames[i]),page_plots.img(src=plots_pearson_outnames[i])
page_plots.div.close()
for i in range(len(plots_mic_contributions_outnames)):
page_plots.p("MIC of Contribution to P(%s) for each feature"%uniquetarget_tr[0][i])
page_plots.img(src=plots_mic_contributions_outnames[i])
if settings.plot_depth_acc == 1:
for i in range(len(plots_depth_acc_outnames)):
page_plots.p("Depth Accuracy DERED_R")
page_plots.img(src=plots_depth_acc_outnames[i])
if settings.plot_decision_boundaries == 1:
for i in range(len(decision_boundaries_outnames)):
page_plots.p("Decision Boundary %s"%i)
page_plots.img(src=decision_boundaries_outnames[i])
allfiltplots= [s for s in plots_bandvprob_outnames if 'allfilt' in s]
for i in range(len(allfiltplots)):
page_plots.p(["",allfiltplots[i]])
page_plots.img(src=allfiltplots[i])
allfiltplots_cols= [s for s in plots_colourvprob_outnames if 'allfilt' in s]
for i in range(len(allfiltplots_cols)):
page_plots.p(["",allfiltplots_cols[i]])
page_plots.img(src=allfiltplots_cols[i])
html_file= open("plots.html","w")
html_file.write(page_plots())
html_file.close()
html_file= open("plots_col_rad.html","w")
html_file.write(page_plots_col_rad())
html_file.close()
html_file= open("plots_col_cont.html","w")
html_file.write(page_plots_col_cont())
html_file.close()
# Create pages for images
page_images = markup.page()
page_images.init(title=html_title+" Images")
page_images.p(page_images.h3("Results for run: %s Images" %ind_run_name))
page_images.a( "Home",href="index.html")
page_images.a( "Example Tree",href="trees.html")
page_images.a( "Plots",href="plots.html")
page_images.a( "Images",href="images.html")
page_images.p("")
for k in range(len(image_IDs)):
for j in range(len(image_IDs[k]['good_url'])):
page_images.p("")
page_images.table(border=1)
page_images.tr(),page_images.td(),page_images.a( e.img( src=image_IDs[k]['good_url'][j]), href=image_IDs[k]['good_url_objid'][j]),page_images.td.close(),page_images.td(),page_images.a( e.img( src=image_IDs[k]['good_spectra'][j]),width=200,height=143,href=image_IDs[k]['good_url_objid'][j]),page_images.td.close(),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Class'),page_images.td.close(),page_images.td(str(uniquetarget_tr[0][image_IDs[k]['class']])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Predicted Class'),page_images.td.close(),page_images.td(str(uniquetarget_tr[0][image_IDs[k]['good_result'][j]])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('ObjID'),page_images.td.close(),page_images.td(str(image_IDs[k]['good_ID'][j])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Redshift'),page_images.td.close(),page_images.td(str(image_IDs[k]['good_specz'][j])),page_images.tr.close()
page_images.table.close()
page_images.table(border=1)
page_images.tr(),page_images.th("")
for num in range(len(uniquetarget_tr)):
page_images.th(uniquetarget_tr[0][num])
page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b("Probability"),page_images.td.close(),
for num in range(len(uniquetarget_tr)):
page_images.td(str(image_IDs[k]['good_probs'][j][num]))
page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b("Bias"),page_images.td.close()
for num in range(len(uniquetarget_tr)):
page_images.td(str(image_IDs[k]['good_tiresult'][j][1][0][num]))
page_images.tr.close()
page_images.table.close()
page_images.p("Contributions to Probability")
page_images.table(border=1)
page_images.tr(),page_images.th(""),page_images.td("Values")
for num in range(len(uniquetarget_tr)):
page_images.th(uniquetarget_tr[0][num])
page_images.tr.close()
for i in range(len(feat_names)):
page_images.tr()
page_images.td(feat_names[i]),page_images.td(str(image_IDs[k]['good_values'][j][i])),
for num in range(len(uniquetarget_tr)):
page_images.td(round(image_IDs[k]['good_tiresult'][j][2][0][:,num][i],5))
page_images.tr.close()
for k in range(len(image_IDs)):
for j in range(len(image_IDs[k]['ok_url'])):
page_images.p("")
page_images.table(border=1)
page_images.tr(),page_images.td(),page_images.a( e.img( src=image_IDs[k]['ok_url'][j]), href=image_IDs[k]['ok_url_objid'][j]),page_images.td.close(),page_images.td(),page_images.a( e.img( src=image_IDs[k]['ok_spectra'][j]),width=200,height=143, href=image_IDs[k]['ok_url_objid'][j]),page_images.td.close(),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Class'),page_images.td.close(),page_images.td(str(uniquetarget_tr[0][image_IDs[k]['class']])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Predicted Class'),page_images.td.close(),page_images.td(str(uniquetarget_tr[0][image_IDs[k]['ok_result'][j]])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('ObjID'),page_images.td.close(),page_images.td(str(image_IDs[k]['ok_ID'][j])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Redshift'),page_images.td.close(),page_images.td(str(image_IDs[k]['ok_specz'][j])),page_images.tr.close()
page_images.table.close()
page_images.table(border=1)
page_images.tr(),page_images.th("")
for num in range(len(uniquetarget_tr)):
page_images.th(uniquetarget_tr[0][num])
page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b("Probability"),page_images.td.close(),
for num in range(len(uniquetarget_tr)):
page_images.td(str(image_IDs[k]['ok_probs'][j][num]))
page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b("Bias"),page_images.td.close()
for num in range(len(uniquetarget_tr)):
page_images.td(str(image_IDs[k]['ok_tiresult'][j][1][0][num]))
page_images.tr.close()
page_images.table.close()
page_images.p("Contributions to Probability")
page_images.table(border=1)
page_images.tr(),page_images.th(""),page_images.td("Values")
for num in range(len(uniquetarget_tr)):
page_images.th(uniquetarget_tr[0][num])
page_images.tr.close()
for i in range(len(feat_names)):
page_images.tr()
page_images.td(feat_names[i]),page_images.td(str(image_IDs[k]['ok_values'][j][i]))
for num in range(len(uniquetarget_tr)):
page_images.td(round(image_IDs[k]['ok_tiresult'][j][2][0][:,num][i],5))
page_images.tr.close()
for k in range(len(image_IDs)):
for j in range(len(image_IDs[k]['bad_url'])):
page_images.p("")
page_images.table(border=1)
page_images.tr(),page_images.td(),page_images.a( e.img( src=image_IDs[k]['bad_url'][j]), href=image_IDs[k]['bad_url_objid'][j]),page_images.td.close(),page_images.td(),page_images.a( e.img( src=image_IDs[k]['bad_spectra'][j]),width=200,height=143, href=image_IDs[k]['bad_url_objid'][j]),page_images.td.close(),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Class'),page_images.td.close(),page_images.td(str(uniquetarget_tr[0][image_IDs[k]['class']])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Predicted Class'),page_images.td.close(),page_images.td(str(uniquetarget_tr[0][image_IDs[k]['bad_result'][j]])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('ObjID'),page_images.td.close(),page_images.td(str(image_IDs[k]['bad_ID'][j])),page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b('Redshift'),page_images.td.close(),page_images.td(str(image_IDs[k]['bad_specz'][j])),page_images.tr.close()
page_images.table.close()
page_images.table(border=1)
page_images.tr(),page_images.th("")
for num in range(len(uniquetarget_tr)):
page_images.th(uniquetarget_tr[0][num])
page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b("Probability"),page_images.td.close()
for num in range(len(uniquetarget_tr)):
page_images.td(str(image_IDs[k]['bad_probs'][j][num]))
page_images.tr.close()
page_images.tr(),page_images.td(),page_images.b("Bias"),page_images.td.close()
for num in range(len(uniquetarget_tr)):
page_images.td(str(image_IDs[k]['bad_tiresult'][j][1][0][num]))
page_images.tr.close()
page_images.table.close()
page_images.p("Contributions to Probability")
page_images.table(border=1)
page_images.tr(),page_images.th(""),page_images.td("Values")
for num in range(len(uniquetarget_tr)):
page_images.th(uniquetarget_tr[0][num])
page_images.tr.close()
for i in range(len(feat_names)):
page_images.tr()
page_images.td(feat_names[i]),page_images.td(str(image_IDs[k]['bad_values'][j][i]))
for num in range(len(uniquetarget_tr)):
page_images.td(round(image_IDs[k]['bad_tiresult'][j][2][0][:,num][i],5))
page_images.tr.close()
html_file= open("images.html","w")
html_file.write(page_images())
html_file.close()
#!/usr/bin/env python
import inspect, os, errno, markup
path = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))+'/www/img/' # script directory
print path
counter = 1
el = len(os.listdir(path))
for f in os.listdir(path):
if f[0] is ".":
continue
page = markup.page()
page.init(charset="UTF-8")
from markup import oneliner as e
if counter+1 == el:
page.a(e.img(src='img/'+f, width=1024), href='index1.html')
else:
page.a(e.img(src='img/'+f, width=1024), href='index'+str(counter+1)+'.html')
final = open('www/index'+str(counter)+'.html','w')
counter = counter + 1
final.write(str(page))
final.close()
def theme_header(title, image=None, help=None, config=None, nomodule=None, nowebmin=None,
rightside="", header=None, body=None, below=None):
acl = read_acl()
for l in list_languages():
if l["lang"] == current_lang:
lang = l
if force_charset:
charset = force_charset
elif lang.has_key("charset"):
charset = lang["charset"]
else:
charset = "iso-8859-1"
print "<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0 Transitional//EN\"\n\"http://www.w3.org/TR/REC-html40/loose.dtd\">"
if gconfig.has_key("real_os_type"):
os_type = gconfig["real_os_type"]
else:
os_type = gconfig["os_type"]
if gconfig.has_key("real_os_version"):
os_version = gconfig["real_os_version"]
else:
os_version = gconfig["os_version"]
print "<html>\n<head>"
if (charset):
print "<meta http-equiv=\"Content-Type\" "\
"content=\"text/html; charset=%s\">" % charset
print "<link rel='icon' href='images/webmin_icon.png' type='image/png'>"
if gconfig.get("sysinfo") == 1:
print "<title>%s : %s on %s (%s %s)</title>" % \
(title, remote_user, get_system_hostname(), os_type, os_version)
else:
print "<title>%s</title>" % title
if header:
print header
# Where does gconfig["sysinfo"] come from?
if gconfig.get("sysinfo") == 0 and remote_user:
print "<SCRIPT LANGUAGE=\"JavaScript\">"
if os.environ.has_key("SSL_USER"):
userstring = " (SSL certified)"
elif os.environ.has_key("LOCAL_USER"):
userstring = " (Local user)"
else:
userstring = ""
print "defaultStatus=\"%s%s logged into %s %s on %s (%s %s)\";" % \
(remote_user, userstring, text["programname"], get_webmin_version(),
get_system_hostname(), os_type, os_version)
print "</SCRIPT>"
msc_modules = get_all_module_infos(module_infos_access)
print "</head>"
if theme_no_table:
print '<body bgcolor="#6696bc" link="#000000" vlink="#000000" text="#000000" leftmargin="0" topmargin="0" marginwidth="0" marginheight="0" ', body, '>'
else:
print '<body bgcolor="#6696bc" link="#000000" vlink="#000000" text="#000000" leftmargin="0" topmargin="0" marginwidth="0" marginheight="0" ', body, '>'
if None != session_id:
logout = "/session_login.cgi?logout=1"
loicon = "logout.jpg"
lowidth = 84
lotext = text["main_logout"]
else:
logout = "switch_user.cgi"
loicon = "switch.jpg"
lowidth = 27
lotext = text["main_switch"]
hpage = markup.page()
## top_table = TableLite(width="100%", border="0", cellspacing="0",
## cellpadding="0", background="/images/top_bar/bg.jpg",
## height="32")
## t_body = TR()
hpage.table(width="100%", border="0", cellspacing="0",
cellpadding="0", background="/images/top_bar/bg.jpg",
height="32")
hpage.tr()
## TDList = [TD(IMG("/images/top_bar/left.jpg", height=32),
## width=4, nowrap="nowrap"),
## TD(Href(pytheme_logo_link,
## IMG(pytheme_logo, width=99,
## height=32,
## border="0", alt=pytheme_logo_alt)),
## width="100%", nowrap="nowrap")]
# TODO (Carsten) : missig auto alt tags for images (really needed ?)
hpage.td(e.img(src="/images/top_bar/left.jpg", height="32"),width="4", nowrap="nowrap")
hpage.td(width="100%", nowrap="nowrap")
hpage.a(e.img(src=pytheme_logo,width=99, height=32,alt=pytheme_logo_alt,border=0),href=pytheme_logo_link)
hpage.td.close()
if not os.environ.has_key("ANONYMOUS_USER"):
# XXX: acl.get("feedback") might not be correct
if gconfig.get("nofeedbackcc") != 2 and acl.get("feedback"):
## TDList.append(TD(Href("/feedback_form.cgi?module=%s" % module_name,
## IMG("/images/top_bar/feedback.jpg", width=97,
## height=32,
## border="0", alt=text["feedback"]))))
hpage.td()
hpage.a(e.img(src="/images/top_bar/feedback.jpg",width=97,height=32,border=0,
alt=text["feedback"]),href="/feedback_form.cgi?module=%s" % module_name)
hpage.td.close()
## TDList.append(TD(IMG("/images/top_bar/top_sep.jpg", width=12,
## height=32)))
hpage.td(e.img(src="/images/top_bar/top_sep.jpg", width=12, height=32))
## TDList.append(TD(Href(logout,
## IMG("/images/top_bar/"+loicon, width=lowidth,
## height=32,
## alt=lotext, border="0"))))
hpage.td()
hpage.a(e.img(src="/images/top_bar/"+loicon,width=lowidth ,height=32,border=0,alt=lotext),href=logout)
hpage.td.close()
## TDList.append(TD(Div(IMG("/images/top_bar/right.jpg", width=3, height=32)),
## width="3"))
hpage.td(e.div(e.img(src="/images/top_bar/right.jpg", width="3", height="32")),width=3)
## top_table.append(t_body + TDList)
hpage.tr.close()
hpage.table.close()
# print top_table
## cat_top_table = TableLite(width="100%", border="0", cellspacing="0",
## cellpadding="0", height="7")
##
##
## cat_top_table.append(TR(TD(IMG("/images/top_bar/shadow.jpg",width=8, height=7),
## background="/images/top_bar/shadow_bg.jpg",
## nowrap="nowrap")))
hpage.table(width="100%", border="0", cellspacing="0",
cellpadding="0", height="7")
hpage.tr()
hpage.td(e.img(src="/images/top_bar/shadow.jpg",width=8, height=7),
background="/images/top_bar/shadow_bg.jpg",nowrap="nowrap")
hpage.tr.close()
hpage.table.close()
# print cat_top_table
print hpage
catnames = read_file(os.path.join(config_directory, "webmin.catnames"))
cats = {}
for module in msc_modules:
c = module.get("category", "")
if cats.has_key(c):
continue
if catnames.has_key(c):
cats[c] = catnames[c]
elif text.has_key("category_%s" % c):
cats[c] = text["category_%s" % c]
else:
mtext = load_language(module["dir"])
if mtext.has_key("category_%s" % c):
cats[c] = mtext["category_%s" % c]
else:
c = ""
module["category"] = ""
cats[c] = text["category_%s" % c]
sorted_cats = cats.keys()
sorted_cats.sort()
sorted_cats.reverse()
if 0 == len(cats):
per = 100
else:
per = 100.0 / float(len(cats))
## Navigation Bar START ##
# (Carsten) Mode loose_html for the center tag
nav_page = markup.page(mode='loose_html')
## nav_table = TableLite(width="100%", border="0", cellspacing="0",
## cellpadding="0", height="57",
## background="/images/nav/bg.jpg")
# (Carsten) The background attribute is not in the final html code with HTMLgen
## nav_table_body = TR(background="/images/nav/bg.jpg")
nav_page.table(width="100%", border="0", cellspacing="0",
cellpadding="0", height="57",
background="/images/nav/bg.jpg")
nav_page.tr(background="/images/nav/bg.jpg")
## TDList = [TD(IMG("/images/nav/left.jpg", width=3, height=57),
## width="6", nowrap="nowrap")]
nav_page.td(e.img(src="/images/nav/left.jpg", width="3", height="57"),width="6", nowrap="nowrap")
for cat in sorted_cats:
uri = "/?cat=%s" % cat
## cont = Container()
nav_page.td(nowrap="nowrap")
nav_page.center()
nav_page.a(href=uri)
if cat in available:
if "" == cat:
## cont.append(IMG("/images/cats/others.jpg", width=43, height=44,
## border="0", alt=cat))
nav_page.img(src="/images/cats/others.jpg",width=43, height=44,
border="0", alt=cat)
else:
## cont.append(IMG("/images/cats/%s.jpg" % cat, width=43, height=44,
## border="0", alt=cat))
nav_page.img(src="/images/cats/%s.jpg" % cat, width=43, height=44,
border="0", alt=cat)
else:
## cont.append(IMG("/images/cats/unknown.jpg", width=43, height=44,
## border="0", alt=cat))
nav_page.img(src="/images/cats/unknown.jpg", width=43, height=44,
border="0", alt=cat)
## cont.append(BR())
## cont.append(chop_font(cats[cat]))
nav_page.br()
# (carsten) : str is needed becaus chop_font might return a HTMLgen/markup instance
nav_page.add(str(chop_font(cats[cat])))
## TDList.append(TD(Center(Href(uri, cont)), nowrap="nowrap"))
nav_page.a.close()
nav_page.center.close()
nav_page.td.close()
## TDList.append(TD(IMG("/images/nav/sep.jpg", width=17, height=57),
## width=17))
nav_page.td(e.img(src="/images/nav/sep.jpg", width=17, height=57),width=17)
## TDList.append(TD(Container(' '), nowrap="nowrap", width="100%"))
nav_page.td(" ",nowrap="nowrap", width="100%")
## nav_table.append(nav_table_body + TDList)
nav_page.tr.close()
nav_page.table.close()
# UGLY!
# The reason we replace all "\n" with "" is that Mozilla
# won't render the menu correctly otherwise. GAAAAH!
# Note (Carsten) : could be done by a simple change in page class
# print str(nav_table).replace("\n", "")
print str(nav_page).replace("\n", "")
## nav_under_table = TableLite(width="100%", border="0", cellspacing="0",
## cellpadding="0",
## background="/images/nav/bottom_bg.jpg",
## height="4")
##
## nav_under_table.append(TR()+[TD(IMG("/images/nav/bottom_left.jpg",
## width=3, height=4), width="100%")])
## print nav_under_table
nav_under_page = markup.page()
nav_under_page.table(width="100%", border="0", cellspacing="0",cellpadding="0",
background="/images/nav/bottom_bg.jpg",height="4")
nav_under_page.tr()
nav_under_page.td(e.img(src="/images/nav/bottom_left.jpg",width=3, height=4),width="100%")
nav_under_page.tr.close()
nav_under_page.table.close()
## tab_under_modcats = TableLite(width="100%", border="0",
## cellspacing="0", cellpadding="0",
## background="/images/nav/bottom_shadow2.jpg")
nav_under_page.table(width="100%", border="0",cellspacing="0",
cellpadding="0",background="/images/nav/bottom_shadow2.jpg")
# ---new/changed display (user) preference tab
## tab_under_modcats_prefs=None
## tab_under_modcats_help=None
ptab_under_modcats_prefs=None
ptab_under_modcats_help=None
# woraround because "if ptab_under_modcats_help" causes an error when it is actually not None
isptab_under_modcats_prefs=False
isptab_under_modcats_help=False
if help:
if type(help) == types.ListType:
helplink = hlink(text["header_help"], help[0], help[1])
else:
helplink = hlink(text["header_help"], help)
## tab_under_modcats_help = TableLite(border="0",cellspacing="0", cellpadding="0")
## tab_under_modcats_help.append(TR() + [TD(IMG("/images/tabs/left.jpg", width=12, height="21"),background="/images/tabs/bg.jpg")]+\
## [TD(Code(helplink),background="/images/tabs/bg.jpg")]+\
## [TD(IMG("/images/tabs/right.jpg", width=15, height="21"),background="/images/tabs/bg.jpg")])
## tab_under_modcats_help.append(TR() + [TD(IMG("/images/tabs/right_bottom.jpg", width=12, height="4"))]+\
## [TD(IMG("/images/tabs/bottom.jpg", width=17, height="4"),background="/images/tabs/bottom.jpg")]+\
## [TD(IMG("/images/tabs/left_bottom.jpg", width=15, height="4"))])
ptab_under_modcats_help = markup.page()
ptab_under_modcats_help.table(border="0",cellspacing="0", cellpadding="0")
ptab_under_modcats_help.tr()
ptab_under_modcats_help.td(e.img(src="/images/tabs/left.jpg", width=12, height="21"),
background="/images/tabs/bg.jpg")
# TODO (carsten) : Check what HTMLgen Code(helplink) does - Update: already done?
ptab_under_modcats_help.td(background="/images/tabs/bg.jpg")
ptab_under_modcats_help.code(helplink)
ptab_under_modcats_help.td.close()
ptab_under_modcats_help.td(e.img(src="/images/tabs/right.jpg", width=15, height="21"),
background="/images/tabs/bg.jpg")
ptab_under_modcats_help.tr.close()
ptab_under_modcats_help.tr()
ptab_under_modcats_help.td(e.img(src="/images/tabs/right_bottom.jpg", width=12, height="4"))
ptab_under_modcats_help.td(e.img(src="/images/tabs/bottom.jpg", width=17, height="4"),
background="/images/tabs/bottom.jpg")
ptab_under_modcats_help.td(e.img(src="/images/tabs/left_bottom.jpg", width=15, height="4"))
ptab_under_modcats_help.tr.close()
ptab_under_modcats_help.table.close()
isptab_under_modcats_help = True
if config:
access = get_module_acl();
if not access.get("noconfig") and not noprefs:
if user_module_config_directory:
cprog = "uconfig.cgi"
else:
cprog = "config.cgi"
uri='%s/%s?%s' % (gconfig.get("webprefix", ""), cprog, module_name)
## tab_under_modcats_prefs = TableLite(border="0",cellspacing="0", cellpadding="0")
## tab_under_modcats_prefs.append(TR() + [TD(IMG("/images/tabs/left.jpg", width=12, height="21"),background="/images/tabs/bg.jpg")]+\
## [TD(Href(uri,text["header_config"]),background="/images/tabs/bg.jpg")]+\
## [TD(IMG("/images/tabs/right.jpg", width=15, height="21"),background="/images/tabs/bg.jpg")])
## tab_under_modcats_prefs.append(TR() + [TD(IMG("/images/tabs/right_bottom.jpg", width=12, height="4"))]+\
## [TD(IMG("/images/tabs/bottom.jpg", width=17, height="4"),background="/images/tabs/bottom.jpg")]+\
## [TD(IMG("/images/tabs/left_bottom.jpg", width=15, height="4"))])
ptab_under_modcats_prefs = markup.page()
ptab_under_modcats_prefs.table(border="0",cellspacing="0", cellpadding="0")
ptab_under_modcats_prefs.tr()
ptab_under_modcats_prefs.td(e.img(src="/images/tabs/left.jpg", width=12, height="21"),
background="/images/tabs/bg.jpg")
ptab_under_modcats_prefs.td(e.a(text["header_config"],href=uri),background="/images/tabs/bg.jpg")
ptab_under_modcats_prefs.td(e.img(src="/images/tabs/right.jpg",width=15, height="21"),
background="/images/tabs/bg.jpg")
ptab_under_modcats_prefs.tr.close()
ptab_under_modcats_prefs.tr()
ptab_under_modcats_prefs.td(e.img(src="/images/tabs/right_bottom.jpg", width=12, height="4"))
ptab_under_modcats_prefs.td(e.img(src="/images/tabs/bottom.jpg", width=17, height="4"),
background="/images/tabs/bottom.jpg")
ptab_under_modcats_prefs.td(e.img(src="/images/tabs/left_bottom.jpg", width=15, height="4"))
ptab_under_modcats_prefs.tr.close()
ptab_under_modcats_prefs.table.close()
isptab_under_modcats_prefs=True
## tab_under_modcats_inner = TableLite(width="100%", border="0",
## cellspacing="0", cellpadding="0",
## background="/images/nav/bottom_shadow2.jpg")
## tab_under_modcats_inner.append(TR() + [TD(IMG("/images/nav/bottom_shadow.jpg", width=43, height="9"))])
# workariund, see above
# if ptab_under_modcats_prefs or ptab_under_modcats_help:
if isptab_under_modcats_prefs or isptab_under_modcats_help:
## tabTR = TR()
nav_under_page.tr()
if isptab_under_modcats_help==True:
## tabTR = tabTR + [TD(tab_under_modcats_help)]
nav_under_page.td(str(ptab_under_modcats_help))
if isptab_under_modcats_prefs==True:
## tabTR = tabTR + [TD(tab_under_modcats_prefs)]
nav_under_page.td(str(ptab_under_modcats_prefs))
## tabTR = tabTR + [TD(tab_under_modcats_inner,background="/images/nav/bottom_shadow2.jpg",width="100%",nowrap="nowarp",valign="top")]
nav_under_page.td(background="/images/nav/bottom_shadow2.jpg",width="100%",nowrap="nowarp",valign="top")
# tab_under_modcats_inner
nav_under_page.table(width="100%", border="0",cellspacing="0", cellpadding="0",
background="/images/nav/bottom_shadow2.jpg")
nav_under_page.tr()
nav_under_page.td(e.img(src="/images/nav/bottom_shadow.jpg", width=43, height="9"))
nav_under_page.tr.close()
nav_under_page.table.close()
# end tab_under_modcats_inner
nav_under_page.td.close()
nav_under_page.tr.close()
## tab_under_modcats(tabTR)
# tab_under_modcats.append(TR() + [TD(tab_under_modcats_prefs)]+ [TD(tab_under_modcats_inner,background="/images/nav/bottom_shadow2.jpg",width="100%",nowrap="nowarp",valign="top")])
else:
## tab_under_modcats.append(TR() + [TD(IMG("/images/nav/bottom_shadow.jpg", width=43, height="9"))])
nav_under_page.tr()
nav_under_page.td(e.img(src="/images/nav/bottom_shadow.jpg", width=43, height="9"))
nav_under_page.tr.close()
nav_under_page.table.close()
## print tab_under_modcats
## print "<br>"
nav_under_page.br()
print nav_under_page
# ----end new display (user) preference tab
if not nowebmin:
title = title.replace("ä", "ä")
title = title.replace("ö", "ö")
title = title.replace("ü", "ü")
title = title.replace(" ", " ")
print "<!-- ================== New Markup code =================== -->"
## title_table = TableLite(border=0, cellpadding=0, cellspacing=0,
## width="95%", align="center")
## inr_tt = TableLite(border=0, cellpadding=0, cellspacing=0, height=20)
## inr_tt_body = TR()
## inr_tt_TDList = [TD(IMG("/images/tabs/blue_left.jpg", width=13,
## height=22), bgcolor="#bae3ff"),
## TD(Strong(title), bgcolor="#bae3ff"),
## TD(IMG("/images/tabs/blue_right.jpg", width=13,
## height=22), bgcolor="#bae3ff")]
## inr_tt.append(inr_tt_body + inr_tt_TDList)
## title_table.append(TR(TD(inr_tt)))
ptitle_table = markup.page()
ptitle_table.table(border=0, cellpadding=0, cellspacing=0,
width="95%", align="center")
ptitle_table.tr()
ptitle_table.td()
ptitle_table.table(border=0, cellpadding=0, cellspacing=0, height=20)
ptitle_table.tr()
ptitle_table.td(e.img(src="/images/tabs/blue_left.jpg", width=13,height=22),bgcolor="#bae3ff")
ptitle_table.td(e.strong(title),bgcolor="#bae3ff")
ptitle_table.td(e.img(src="/images/tabs/blue_right.jpg", width=13,height=22),bgcolor="#bae3ff")
ptitle_table.tr.close()
ptitle_table.table.close()
ptitle_table.td.close()
ptitle_table.tr.close()
ptitle_table.table.close()
## print title_table
print ptitle_table
print "<!-- ================== New Markup code end =================== -->"
theme_prebody()
def main(initfile, ntop):
# read configuration options and process
par = Parameters(initfile)
gpsb = par.res_param['gpsb']
gpse = par.res_param['gpse']
pdir = par.res_param['pdir']
hdir = par.res_param['hdir']
data = Data(hdir + 'post_proc_data.dat')
# relative paths of the stilesheets and javascripts for the results page
stylesheets = ('general.css', 'table.css', 'modal.css')
script = 'scripts.js'
# copy them in the results folder (that should already exist)
for sheet in stylesheets:
copy2(os.path.dirname(os.path.abspath(__file__)) + '/' + sheet, hdir)
copy2(os.path.dirname(os.path.abspath(__file__)) + '/' + script, hdir)
# Create summary web page
print "Generating Web Page..."
page = markup.page()
page.init(title="NonStatMoni",
css=stylesheets,
footer="(2017)" +
ol.a("Michele Valentini", href='mailto:[email protected]'))
# best coherences and ccfs summary table generation
page.button("Auxillary channels summary table", class_="accordion")
page.div(class_="panel")
page.input(type="text",
id="myInput",
onkeyup="myFunction()",
placeholder="Search for aux_channel names..")
page.table(id="t01")
for aux_name, aux_groups in data.aux_dict.iteritems():
page.tr()
page.td()
page.h4(aux_name)
page.td.close()
# Sort the dictionary according to the abs of the values,
# from highest to lowest
ccf_sorted = OrderedDict(
sorted(data.ccfs[aux_name].iteritems(),
key=lambda x: abs(x[1]),
reverse=True))
mean_coh_sorted = OrderedDict(
sorted(data.mean_cohs[aux_name].iteritems(),
key=lambda x: x[1],
reverse=True))
for chan_band, ccf in ccf_sorted.items()[0:4]:
pagename = 'cohe_{}.html'.format(chan_band.split('_')[0])
page.td(style="width:10%; font-size :11px;")
page.add(
"<a target=_blank href={}#{}>{}</a><br>(ccf={:3f})".format(
pagename,
aux_name.split(':')[1], chan_band, ccf))
page.td.close()
page.td()
page.add('<a> ******** </a>')
page.td.close()
for chan_band, coh in mean_coh_sorted.items()[0:4]:
pagename = 'cohe_{}.html'.format(chan_band.split('_')[0])
page.td(style="width:10%; font-size:11px;")
page.add(
'<a target=_blank href={}#{}>{}</a><br>(mncoh={:3f})'.format(
pagename,
aux_name.split(':')[1], chan_band, coh))
page.td.close()
page.tr.close()
page.table.close()
page.div.close()
# build the page menu
onclick_gen = ("openGroup(event, '{}')".format(group)
for group in data.group_dict.keys())
page.div(ol.button(data.group_dict.keys(),
class_='tablinks',
onclick=onclick_gen),
class_='tab')
# build each group subpage
for group, g_dict in data.group_dict.iteritems():
# Build the highest ccf and coherence for this group table
ccftab = {group: np.zeros(ntop)}
cohtab = {group: np.zeros(ntop)}
ccftab_names = {group: np.zeros(ntop, dtype='string')}
cohtab_names = {group: np.zeros(ntop, dtype='string')}
cohe_page_name = 'cohe_{}.html'.format(group)
for aux_n, (aux_name,
aux_groups) in enumerate(data.aux_dict.iteritems()):
if group in aux_groups:
for band in g_dict['band_list']:
if aux_n == 0:
ccftab[band] = np.zeros(ntop)
cohtab[band] = np.zeros(ntop)
ccftab_names[band] = np.zeros(ntop, dtype='string')
cohtab_names[band] = np.zeros(ntop, dtype='string')
ccf = data.ccfs[aux_name][group + '_' + band]
coh = data.mean_cohs[aux_name][group + '_' + band]
# todo: build single band tables too
if abs(ccf) > min(np.abs(ccftab[band])):
ccftab[band] = np.concatenate((ccftab[band], [ccf]))
ccftab_names[band] = np.concatenate(
(ccftab_names[band], [aux_name]))
best_indexes = np.abs(ccftab[band]).argsort()[1:][::-1]
ccftab[band] = ccftab[band][best_indexes]
ccftab_names[band] = ccftab_names[band][best_indexes]
if coh > min(cohtab[band]):
cohtab[band] = np.concatenate((cohtab[band], [coh]))
cohtab_names[band] = np.concatenate(
(cohtab_names[band], [aux_name]))
best_indexes = cohtab[band].argsort()[1:][::-1]
cohtab[band] = cohtab[band][best_indexes]
cohtab_names[band] = cohtab_names[band][best_indexes]
# Build the full group best tabs
if abs(ccf) > min(np.abs(ccftab[group])):
ccftab[group] = np.concatenate((ccftab[group], [ccf]))
ccftab_names[group] = np.concatenate(
(ccftab_names[group], [aux_name + ' with ' + band
]))
best_indexes = np.abs(
ccftab[group]).argsort()[1:][::-1]
ccftab[group] = ccftab[group][best_indexes]
ccftab_names[group] = ccftab_names[group][best_indexes]
if coh > min(cohtab[group]):
cohtab[group] = np.concatenate((cohtab[group], [coh]))
cohtab_names[group] = np.concatenate(
(cohtab_names[group], [aux_name + ' with ' + band
]))
best_indexes = cohtab[group].argsort()[1:][::-1]
cohtab[group] = cohtab[group][best_indexes]
cohtab_names[group] = cohtab_names[group][best_indexes]
tab = [[" CCF ", "Coherence"]]
for i in xrange(ntop):
row = [
"<a target=_blank href={0}#{1}>{2}</a><br>CCFs = {3:.2f}".
format(cohe_page_name,
ccftab_names[group][i].split(' ')[0].split(':')[1],
ccftab_names[group][i], ccftab[group][i]),
"<a target=_blank href={0}#{1}>{2}</a>"
"<br>Mean Coher. = {3:.3f}".format(
cohe_page_name,
cohtab_names[group][i].split(' ')[0].split(':')[1],
cohtab_names[group][i], cohtab[group][i])
]
tab.append(row)
tab_str = OrderedDict({group: tb.tabmaker(tab, True, False)})
for band in g_dict['band_list']:
tab = [[" CCF ", "Coherence"]]
for i in xrange(ntop):
row = [
"<a target=_blank href={0}#{1}>{2}</a><br>CCFs = {3:.2f}".
format(cohe_page_name, ccftab_names[band][i].split(':')[1],
ccftab_names[band][i], ccftab[band][i]),
"<a target=_blank href={0}#{1}>{2}</a>"
"<br>Mean Coher. = {3:.3f}".format(
cohe_page_name, cohtab_names[band][i].split(':')[1],
cohtab_names[band][i], cohtab[band][i])
]
tab.append(row)
tab_str[band] = tb.tabmaker(tab, True, False)
# build the rest of the frame
frame = ol.div(
ol.h1("NonStatMoni BRMS for {} GPS {:d} - {:d}".format(
g_dict['channel'], gpsb, gpse),
style="display:inline") +
ol.h3(ol.a("Coherences with slow channels",
target='_blank',
href=cohe_page_name),
style="display:inline"))
# todo: normalized by what?
time_title = ol.h2("Normalized BRMS time series")
time_img = ol.img(class_="myImg",
src=pdir + group + "_time.png",
alt=group + "Time plot",
width="400")
spec_title = ol.h2("Spectrum of BRMS time series")
spec_img = ol.img(class_="myImg",
src=pdir + group + "_psd.png",
alt=group + "PSD plot",
width="400")
frame += ol.div(time_title + time_img + spec_title + spec_img,
style="float:left")
tab_title_gen = (ol.h2("Best Correlations"
" and best Coherences for {}".format(c))
for c in ([group] + g_dict['band_list']))
frame += ol.div(
(title + tbl
for title, tbl in zip(tab_title_gen, tab_str.values())),
class_="v_tabcontent",
id=(['v_' + group] + g_dict['band_list']))
onclick_gen = ("openBand(event, '{}')".format(band)
for band in (['v_' + group] + g_dict['band_list']))
frame += ol.div(ol.button([group] + g_dict['band_list'],
class_='v_tablinks',
onclick=onclick_gen,
id=['defaultOpen', '']),
class_='vertical_tab')
page.div(frame, id=group, class_='tabcontent')
# create coherence subpage
page2 = markup.page()
page2.init(title="NonStatMoni", css='../style/style.css')
page2.h1("Coherences with slow channels")
for aux_name, aux_groups in data.aux_dict.iteritems():
if group in aux_groups:
page2.div(ol.img(src=(pdir + group + '_' + 'cohe_' +
aux_name.split(':')[1] + '.png'),
alt=(" No plots for" + aux_name)),
id=aux_name.split(':')[1])
page2.savehtml(hdir + cohe_page_name)
# create the modal for the plot images
modal = ol.span("×", class_="close")
modal += ol.img(class_="modal-content", id="img01")
modal += ol.div('', id="caption")
page.div(modal, id='myModal', class_="modal")
page.br()
page.h2("Contacts")
page.scripts({script: 'javascript'})
page.savehtml(hdir + 'index.html')