def generate_output(setup, title, img_height, conts_to_display, skin, imgs=[]):
"""Recursively generate output for setup+continuations."""
#not the penultimate bag, need to go deeper
if len(setup.continuations[0].continuations) > 0:
#store images in list to print at the end
new_imgs = imgs.copy() #don't think this needs to be a deepcopy
new_imgs.append(fumen_to_image(setup.solution.fumen, img_height, skin))
# this naming scheme could get messy, anything better? maybe Setup 1-A-A?
# but I'm not sure what to do if more continuatons than 26, maybe just AA, then AAA
new_ctd = conts_to_display - 1 if conts_to_display > 1 else 1
for i, s in enumerate(tqdm(setup.continuations, unit="setup", leave=False)):
generate_output(s, title + (" - Sub-Setup %d" % i), img_height, new_ctd, skin, new_imgs)
else:
h2(title)
with div():
for url in imgs:
img(src=url)
#final setup with conts, still need to display it's image
img(src=fumen_to_image(setup.solution.fumen, img_height, skin))
conts_to_display -= 1
for cont in setup.continuations[:conts_to_display]:
img(src=fumen_to_image(cont.solution.fumen, img_height, skin))
with p():
total_conts = len(setup.continuations)
text("Showing ")
b("%d" % min(conts_to_display, total_conts))
text(" of ")
b(a("%d continuations" % total_conts, href=fumen_url + setup.to_fumen()))
def writeContent(self):
self.writeln('<h1>Using Webware with Dominate</h1>')
self.writeln(
'<p>Dominate is a Python library that can be used in Webware'
' applications to generate HTML programmatically.</p>')
if not dominate:
self.writeln(
f'<p>Please install <a href="{self.homepage}">Dominate</a>'
' in order to view this demo.</p>')
return
content = div(id='content')
with content:
h2('Hello World!')
with table(cls="NiceTable").add(tbody()):
tr(th('Demo table', colspan=3))
r = tr()
r += td('One')
r.add(td('Two'))
with r:
td('Three')
para = p(__pretty=False)
with para:
text('This content has been produced with ')
a('Dominate', href=self.homepage)
text(' programmatically.')
self.write(content)
def render(self):
if len(self.highlights) == 0 \
and len(self.notes) == 0 \
and len(self.bookmarks) == 0:
return
with div():
h2(self.title)
if self.authors is not None:
p(f'Authors: {self.authors}')
p(f'File: {self.file_name}')
if len(self.bookmarks) > 0:
h3('Bookmarks')
with ol():
for bookmark in self.bookmarks:
with li():
bookmark.render()
if len(self.highlights) > 0:
h3('Highlights')
with ol():
for highlight in self.highlights:
with li():
highlight.render()
if len(self.notes) > 0:
h3('Notes')
with ol():
for note in self.notes:
with li():
note.render()
def h2(self, txt):
"""Insert a header to the HTML file
Parameters:
text (str) -- the header text
"""
with self.doc:
h2(txt)
def generate_output_pc(setup, title, pc_cutoff, pc_height, img_height, skin, cache, imgs=[]):
#not the penultimate bag, need to go deeper
if len(setup.continuations[0].continuations) > 0:
#store images in list to print at the end
new_imgs = imgs.copy() #don't think this needs to be a deepcopy
new_imgs.append(fumen_to_image(setup.solution.fumen, img_height, skin))
for i, s in enumerate(tqdm(setup.continuations, unit="setup", leave=False)):
generate_output_pc(s, title + (" - Sub-Setup %d" % i), pc_cutoff, pc_height, img_height, skin, cache,
new_imgs)
else:
sf = SFinder(setup_cache=cache)
h2(title)
with div():
best_continuation = setup.continuations[0].solution
best_pc = sf.path(
fumen=best_continuation.to_fumen(), pieces=best_continuation.get_remaining_pieces(),
height=pc_height)[0] #todo: hack! change this when i fix cache
for url in imgs:
img(src=url)
img(src=fumen_to_image(setup.solution.fumen, img_height, skin))
img(src=fumen_to_image(best_continuation.fumen, img_height, skin))
img(src=fumen_to_image(best_pc.fumen, img_height, skin))
with p():
text("Best continuation: ")
b("%.2f%%" % setup.continuations[0].PC_rate)
text(" PC success rate – ")
b(a("%d continuations" % len(setup.continuations), href=fumen_url + setup.to_fumen()))
text("with >%.2f%% PC success rate" % pc_cutoff)
def createHtmlStructure(channel, limit, html_path, pdf_path):
'''
1. in loop create html structure
2. return html_structure
3. or file name of pdf for send_from_directory function
'''
html_document = dominate.document(title="HTML document")
for index, item in enumerate(channel.entries):
if (index == limit):
break
with html_document:
with div():
h2("Title: " + html.unescape(item.title))
p("Link: " + item.link)
media_content = news_parser.checkMediaContent(item)
if (media_content):
img(src=media_content)
description = news_parser.getDescription(item.description)
if (description):
p("Description: " + description)
if (html_path):
return str(html_document)
elif (pdf_path):
return topdf.convertHtmlToPdf(str(html_document), pdf_path)
def createHtmlFromDB(limit, html_path, pdf_path, arg_date):
'''
1. in loop create html structure
2. create html document or convert html structure into pdf
'''
records = getCacheFromDB(arg_date)
html_document = dominate.document(title="HTML document")
for index, row in enumerate(records):
if(limit and index == limit):
break
with html_document:
with div():
h2("Title: " + row[0])
p("Link: " + row[1])
if (row[2]):
img(src="data:image/jpg;base64," + base64.b64encode(row[2]).decode('ascii'))
if (row[3]):
p("Description: " + row[3])
if (html_path):
return str(html_document)
elif (pdf_path):
return topdf.convertHtmlToPdf(str(html_document), pdf_path)
def convert_new_in_html(cmd_args, new, html_file):
"""
Convert one new to HTML format
"""
with html_file:
with tag.div():
tag.h2(new.get('title'))
tag.p(new.get('date'))
tag.br()
tag.a("Read the full article", href=new.get('link'))
tag.br()
tag.br()
if cmd_args.date:
for num, link in enumerate(new.get('img_link'), 1):
tag.a(f"Image link № {num}", href=link)
tag.br()
else:
for num, link in enumerate(new.get('img_link')):
tag.img(src=link, alt=new.get('img_title')[num])
tag.br()
tag.p(new.get('text'))
tag.br()
return html_file
def add_caption(self, text):
""" Insert a caption under the first line
Parametres:
text (str): -- the caption text
"""
with self.doc:
h2(text)
def report(job, report):
"""Generate a report.html with analysis and timelines from given jobs."""
jobs = job
today = datetime.datetime.now().strftime("%Y-%m-%d")
doc = dominate.document(title='Build Stats - {}'.format(today))
with doc.head:
dt.link(
rel='stylesheet',
href=
'https://cdnjs.cloudflare.com/ajax/libs/github-markdown-css/3.0.1/github-markdown.min.css'
)
dt.meta(name='viewport', content='width=device-width, initial-scale=1')
# Create <article>...</article> according to sindresorhus/github-markdown-css
article = dt.article(cls='markdown-body')
doc += article
with article:
dt.h1('Marathon Loop Build Stats ({})'.format(today))
# Generate report for each job.
for job in jobs:
j = JenkinsJob.load(job)
loop = asyncio.get_event_loop()
tests = loop.run_until_complete(j.unique_fails()).to_html()
errors = loop.run_until_complete(j.unique_errors()).to_html()
f = io.BytesIO()
fail_statuses = ['FAILED', 'REGRESSION']
loop = asyncio.get_event_loop()
df = loop.run_until_complete(j.test_dataframe())
ts = df.groupby(level=0).agg({
'status':
lambda x: x.isin(fail_statuses).any(),
'timestamp':
'max'
})
plt.figure(figsize=(20, 3))
c = ts.status.map({True: 'xkcd:light red', False: 'xkcd:light blue'})
plt.bar(x=ts.timestamp, height=1, width=0.01, color=c, align='edge')
plt.xlim([ts.timestamp.min(), ts.timestamp.max()])
plt.savefig(f, format='svg')
with article:
dt.h2('Marathon {}'.format(job))
dt.div(dominate.util.raw(errors))
dt.div(dominate.util.raw(tests))
dt.div(dominate.util.raw(f.getvalue().decode('utf-8')))
with open(report, "w") as report_file:
print(doc, file=report_file)
def generateHtml():
with open(path.join(current_dir, '../changelog/', 'storage.json'),
'r') as f:
data = json.load(f)[::-1]
doc = document(title='Changelog - lkellar.org')
articles = []
with doc.head:
tags.link(rel='stylesheet', href='style.css')
tags.meta(charset="UTF-8")
tags.meta(name="description",
content="A log of all changes made on lkellar.org")
tags.meta(name="viewport",
content="width=device-width, initial-scale=1")
tags.link(rel="alternate",
title="Changelog Feed",
type="application/json",
href="https://lkellar.org/changelog/feed.json")
with doc:
with tags.nav().add(tags.ol()):
with tags.li():
tags.a("Home", href="../")
tags.li("Changelog")
with tags.main():
tags.h1('Changelog')
for entry in data:
tags.hr()
article_content = tags.article()
with article_content:
tags.h2(
f'{entry["title"]} - {entry["date"].split("T")[0]}',
id=f'{entry["title"]} - {entry["date"]}'.replace(
' ', ''.lower()))
list_content = tags.ul()
with list_content:
for line in entry['items']:
line = urls.sub(r'<a href="\2">\1</a>', line)
tags.li(raw(line))
articles.append((f'{entry["title"]} - {entry["date"]}'.replace(
' ', ''.lower()), list_content.render(), entry["date"],
entry['title']))
with open(path.join(current_dir, '../changelog/', 'index.html'), 'w') as f:
f.write(doc.render())
generateFeed(articles)
def dominate_enter_page():
"""
第三頁：確認資訊頁面，對應到 @app.route('/jump') 及其函數 registerpage_run [if request.method == 'POST']
目標：利用dominate寫出 enter_page 的 html並在 templates 資料夾中存成 index3.html
分為三個區塊
doc = dominate.document()
with doc.head (包含css的style;meta確保中文可以運行在utf-8下)
with doc.body (包含 6 information: name/ password/ student_id/
telephone_number/ school_bike_license/ bike_lock_number and a button confirm)
最後寫入文件中(在templates資料夾中存成index3.html)
"""
doc = dominate.document(title="entered")
with doc.head:
tags.meta(name='charset', content="utf-8")
tags.style("""\
body {
background-color: #F9F8F1;
color: #2C232A;
font-family: sans-serif;
font-size: 14;
text-align: center;
}
""")
with doc.body:
tags.h1('welcome' + str(name_list_temp[0]))
tags.h2('please confirm your information')
with tags.section(cls='information check'):
with tags.div(cls='name', style="text-align: center"):
tags.label('your name is ' + str(name_list_temp[0]))
with tags.div(cls='password', style="text-align: center"):
tags.label('your password is ' + str(password_temp[0]))
with tags.div(cls='student_id', style="text-align: center"):
tags.label('your student id is ' + str(student_id_temp[0]))
with tags.div(cls='telephone', style="text-align: center"):
tags.label('your telephone number is ' + str(telephone_number_temp[0]))
with tags.div(cls='license', style="text-align: center"):
tags.label('the status of your bike_lice ' + str(school_bike_license_temp[0]))
with tags.div(cls='lock_number', style="text-align: center"):
tags.label('your bike lock number is ' + str(bike_lock_number_temp[0]))
with tags.div(cls='button', style="margin:0 auto; width:250px;"):
tags.input(type='button', value='confirm', style="width:120px; background-color:pink;",
onclick="location.href='http://127.0.0.1:5000/entered'")
fn = 'templates/index3.html'
with open(file=fn, mode='w', encoding='utf-8') as f:
f.write(doc.render())
print(f)
def add_nulls(self):
with self.doc:
dtg.h2("Null tests", id='nulls')
lst = dtg.ul()
sorter = self.s_null.sortTracers()
# All cross-correlations
xcorrs = np.array(["%d_%d" % (s[0], s[1]) for s in sorter])
# Unique cross-correlations
xc_un = np.unique(xcorrs)
cls_null = self.s_null.mean.vector
err_null = np.sqrt(self.s_null.precision.getCovarianceMatrix())
# Loop over unique correlations
for comb in xc_un:
t1, t2 = comb.split('_')
t1 = int(t1)
t2 = int(t2)
# Find all power spectra for this pair of tracers
ind_spectra = np.where(xcorrs == comb)[0]
# Plot title
title = self.s_null.tracers[t1].name[2:-1]
title += " x "
title += self.s_null.tracers[t2].name[2:-1]
# Plot file
fname = self.get_output('plots') + '/cls_null_'
fname += self.s_null.tracers[t1].name[2:-1]
fname += "_x_"
fname += self.s_null.tracers[t2].name[2:-1]
fname += ".png"
print(fname)
# Plot all power spectra
plt.figure()
plt.title(title, fontsize=15)
for ind in ind_spectra:
typ = sorter[ind][2].decode()
ndx = sorter[ind][4]
plt.errorbar(self.ells[self.msk],
(cls_null[ndx] / err_null[ndx])[self.msk],
yerr=np.ones(len(ndx))[self.msk],
fmt=self.cols_typ[typ] + '-',
label=typ)
plt.xlabel('$\\ell$', fontsize=15)
plt.ylabel('$C_\\ell/\\sigma_\\ell$', fontsize=15)
plt.legend()
plt.savefig(fname, bbox_index='tight')
plt.close()
lst += dtg.li(dtg.a(title, href=fname))
dtg.div(dtg.a('Back to TOC', href='#contents'))
def dominate_wrong_information_page():
"""
第五頁：資料庫連接錯誤頁面，對應到 @app.route('/entered') 及其函數 eneter_success()
目標：利用dominate寫出homepage的html並在templates資料夾中存成index5.html
分為三個區塊
doc = dominate.document()
with doc.head (包含css的style;meta確保中文可以運行在utf-8下)
with doc.body (包含 words and a button)
最後寫入文件中(在templates資料夾中存成index5.html)
"""
doc = dominate.document(title='error_page')
with doc.head:
tags.meta(name='charset', content="utf-8")
tags.style("""\
body {
background-color: #F9F8F1;
color: #2C232A;
font-family: sans-serif;
font-size: 30;
text-align: center;
}
section{
width: 300px;
height: 300px;
position: absolute;
top: 50%;
left: 50%;
overflow: auto;
text-align: center;
margin-left:-150px;
margin-top:-150px;
}
""")
with doc.body:
with tags.section():
with tags.div(cls='headline', style='font-size: 30;'):
tags.h2("wrong information! please try again")
tags.input(type='button', value='return back', onclick="location.href='http://127.0.0.1:5000/'",
style="width:120px; background-color:pink; font-size: 14;")
fn = 'templates/index6.html'
with open(file=fn, mode='w', encoding='utf-8') as f:
f.write(doc.render())
print(f)
def create_html(items: list) -> document:
"""
convert article data in html format
"""
html_document = document(title='Dominate your HTML')
log.info('Start make html format')
for item in items:
item = printers.prepare_one_item(item)
with html_document:
with div():
h2("Title: " + item['Title:'])
p("Link: " + item['Link: '])
img(src=item['Media content:\n'])
p("Description: " + item['Description: '])
p("Date: " + item['Date:'])
return html_document
def __init__(self, subtitle=''):
self.doc = dominate.document(self.site_name)
self.subtitle = subtitle if subtitle else self.__class__.__name__
self.on_ready_scriptage = []
with self.doc.head:
for css in self.cssfiles.split():
self._link_css(css)
for scripturl in self.scripturls:
tags.script(crossorigin="anonymous", src=scripturl)
self.script_list = tags.script().children
with self.doc.body.add(tags.div(cls="container")):
self.header = tags.div(id="header")
with self.header.add(tags.h2()):
tags.a(self.site_name, href='/', id="site_name")
tags.h3(self.subtitle, id="subtitle")
with tags.ul(id="status", style=self.status_style):
for msg in flask.get_flashed_messages():
tags.li(msg)
self.content = tags.div(id="content")
self.footer = tags.div(id="footer")
with self.footer:
tags.a("Latest", href=url_for("list_latest"))
tags.a("Back to the Front", href="/")
tags.a("Catalog",
href=url_for("show_catalog_page"),
onclick="shift_edit(event, this)")
tags.a("Register", href=url_for('loginbp.new_user'))
tags.label("")
if flask_login.current_user.is_authenticated:
tags.a(f"Log out", href=url_for('loginbp.logout'))
else:
tags.a(f"Login", href=url_for('loginbp.login'))
def generateStatsHTML(graph,statsFilePath = "stats.html",postStatsFilePath = "postStats.html"): #Generates the Stats HTML section
firstLevel = checkFirstLevel(graph)
softwareLabelNum = queryVersionNum(graph)
softwareLabelNumList = addQueryToList(softwareLabelNum)
stats = document(title="FSL Viewer") #Creates initial html page (stats)
stats += h1("Sample FSL Viewer")
stats += ul(li(a("Stats", href="stats.html")), li("-"),li(a("Post Stats", href = "postStats.html")))
stats += h2("Stats")
stats += hr()
stats += h3("Analysis Methods")
if askSpm(graph) == True: #Checks if SPM was used
stats += p("FMRI data processing was carried out using SPM Version %s (SPM, http://www.fil.ion.ucl.ac.uk/spm/)." % softwareLabelNumList[1])
elif askFsl(graph) == True: #Checks if FSL was used
fslFeatVersion = queryFslFeatVersion(graph)
stats += p("FMRI data processing was carried out using FEAT (FMRI Expert Analysis Tool) Version %s, part of FSL %s (FMRIB's Software Library, www.fmrib.ox.ac.uk/fsl)." % (fslFeatVersion[0], softwareLabelNumList[1]))
stats += hr()
stats += h3("Design Matrix")
designMatrixLocation = queryDesignMatrixLocation(graph)
stats += a(img(src = designMatrixLocation[1], style = "border:5px solid black", border = 0), href = designMatrixLocation[0]) #Adds design matrix image (as a link) to html page
statsFile = open(statsFilePath, "x")
print(stats, file = statsFile) #Prints html page to a file
statsFile.close()
def create_page(self):
# Open plots directory
if not os.path.isdir(self.get_output('plots')):
os.mkdir(self.get_output('plots'))
# Create HTML page
self.doc = dom.document(title='BBPipe plots page')
with self.doc.head:
dtg.link(rel='stylesheet', href='style.css')
dtg.script(type='text/javascript', src='script.js')
with self.doc:
dtg.h1("Pipeline outputs")
dtg.h2("Contents:", id='contents')
lst = dtg.ul()
lst += dtg.li(dtg.a('Bandpasses', href='#bandpasses'))
lst += dtg.li(dtg.a('Coadded power spectra', href='#coadded'))
lst += dtg.li(dtg.a('Null tests', href='#nulls'))
lst += dtg.li(dtg.a('Likelihood', href='#like'))
def test_file_structure(self):
c = Converter('Man', file='structured_file.man')
c.translate()
text = c.html.render()
text = c.change_special_symbols(text)
doc = tags.html(lang='en')
doc = add_head(doc)
doc_body = tags.body()
row = tags.div(cls='row')
row = add_row(row, 'BASH(1)', '', 'BASH(1)')
doc_body.add(row)
with doc_body:
tags.h2('NAME')
content = tags.div(cls='content')
paragraph = tags.p()
paragraph += '\ngrep, egrep, fgrep, rgrep'
content.add(paragraph)
content.add(tags.h4('Simple Commands'))
content2 = tags.div(cls='content')
content2.add(tags.br())
paragraph = tags.p()
paragraph += '\nA \\fIsimple command\\fP'
content2.add(paragraph)
def_list = tags.dl()
def_termin = tags.dt()
def_termin.add('\nInterpret')
def_list.add(def_termin)
def_list.add(tags.dd(cls='indent'))
content2.add(def_list)
def_list = tags.dl()
def_termin = tags.dt(cls='short')
def_termin.add((tags.b('%%')))
def_list.add(def_termin)
def_def = tags.dd(cls='indent')
def_def.add('\nA literal')
def_list.add(def_def)
content2.add(def_list)
content.add(content2)
row = tags.div(cls='row')
row = add_row(row, 'GNU Bash 4.4', '2016-08-26', 'BASH(1)')
doc_body.add(row)
doc.add(doc_body)
doc = c.change_special_symbols(doc.render())
self.assertEqual(doc, text)
def webpageContent(self):
"""
Make some HTML for the webpage.
"""
return div(
h2("Analysis"),
h3(f"Pagerank"),
p(self.formatPageRank()),
# p(self.formatKEdges()),
id="analysis")
def write_date(doc: dominate.document):
"""
Write date in HTML document
:param doc: Dominate document
"""
now = datetime.datetime.now()
locale.setlocale(locale.LC_ALL, 'fr-FR')
doc.add(
tags.h2(
str(time.strftime('%A %d %B %Y', now.timetuple())).capitalize()))
def gen_report_complex_with_files(datadir: Path,
single_file: bool = False,
local_report: bool = False) -> dp.Report:
# Asset tests
lis = [1, 2, 3]
small_df = gen_df()
big_df = gen_df(10000)
# text
# md_block
html_block = dp.HTML(html="<h1>Hello World</h1>")
html_block_1 = dp.HTML(html=h2("Hello World"))
code_block = dp.Code(code="print('hello')", language="python")
formula_block = dp.Formula(formula=r"\frac{1}{\sqrt{x^2 + 1}}")
big_number = dp.BigNumber(heading="Tests written", value=1234)
big_number_1 = dp.BigNumber(heading="Real Tests written :)",
value=11,
change=2,
is_upward_change=True)
embed_block = dp.Embed(url="https://www.youtube.com/watch?v=JDe14ulcfLA")
# assets
plot_asset = dp.Plot(data=gen_plot(), caption="Plot Asset")
list_asset = dp.File(data=lis, filename="List Asset", is_json=True)
img_asset = dp.File(file=datadir / "datapane-logo.png")
# tables
table_asset = dp.Table(data=small_df, caption="Test Basic Table")
# local reports don't support DataTable
dt_asset = table_asset if local_report else dp.DataTable(
df=big_df, caption="Test DataTable")
if single_file:
return dp.Report(dp.Group(blocks=[md_block, dt_asset]))
else:
return dp.Report(
dp.Page(
dp.Select(md_block,
html_block,
html_block_1,
code_block,
formula_block,
embed_block,
type=dp.SelectType.TABS),
dp.Group(big_number, big_number_1, columns=2),
),
dp.Page(
plot_asset,
list_asset,
img_asset,
table_asset,
dt_asset,
),
)
def add_bandpasses(self):
with self.doc:
dtg.h2("Bandpasses", id='bandpasses')
lst = dtg.ul()
# Overall plot
title = 'Bandpasses summary'
fname = self.get_output('plots') + '/bpass_summary.png'
plt.figure()
plt.title(title, fontsize=14)
for t in self.s_fid.tracers:
n = t.name[2:-1]
nu_mean = np.sum(t.Nz * t.z**3 * t.extra_cols['dnu']) / np.sum(
t.Nz * t.z**2 * t.extra_cols['dnu'])
plt.plot(
t.z,
t.Nz / np.amax(t.Nz),
label=n +
', $\\langle\\nu\\rangle=%.1lf\\,{\\rm GHz}$' % nu_mean)
plt.xlabel('$\\nu\\,[{\\rm GHz}]$', fontsize=14)
plt.ylabel('Transmission', fontsize=14)
plt.ylim([0., 1.3])
plt.legend(frameon=0, ncol=2, labelspacing=0.1, loc='upper left')
plt.xscale('log')
plt.savefig(fname, bbox_inches='tight')
plt.close()
lst += dtg.li(dtg.a(title, href=fname))
for t in self.s_fid.tracers:
n = t.name[2:-1]
title = 'Bandpass ' + n
fname = self.get_output('plots') + '/bpass_' + n + '.png'
plt.figure()
plt.title(title, fontsize=14)
plt.plot(t.z, t.Nz / np.amax(t.Nz))
plt.xlabel('$\\nu\\,[{\\rm GHz}]$', fontsize=14)
plt.ylabel('Transmission', fontsize=14)
plt.ylim([0., 1.05])
plt.savefig(fname, bbox_inches='tight')
plt.close()
lst += dtg.li(dtg.a(title, href=fname))
dtg.div(dtg.a('Back to TOC', href='#contents'))
def index():
removed = list((REPORTS_PATH / "removed").iterdir())
added = list((REPORTS_PATH / "added").iterdir())
diff = list((REPORTS_PATH / "diff").iterdir())
title = "UI changes from master"
doc = dominate.document(title=title)
with doc:
h1("UI changes from master")
hr()
h2("Removed:", style="color: red;")
i("UI fixtures that have been removed:")
html.report_links(removed, REPORTS_PATH)
br()
hr()
h2("Added:", style="color: green;")
i("UI fixtures that have been added:")
html.report_links(added, REPORTS_PATH)
br()
hr()
h2("Differs:", style="color: grey;")
i("UI fixtures that have been modified:")
html.report_links(diff, REPORTS_PATH)
return html.write(REPORTS_PATH, doc, "index.html")
def index() -> Path:
passed_tests = list((REPORTS_PATH / "passed").iterdir())
failed_tests = list((REPORTS_PATH / "failed").iterdir())
title = "UI Test report " + datetime.now().strftime("%Y-%m-%d %H:%M:%S")
doc = document(title=title, index=True)
with doc:
h1("UI Test report")
if not failed_tests:
p("All tests succeeded!", style="color: green; font-weight: bold;")
else:
p("Some tests failed!", style="color: red; font-weight: bold;")
hr()
h2("Failed", style="color: red;")
with p(id="file-hint"):
strong("Tip:")
text(" use ")
t.span("./tests/show_results.sh", style="font-family: monospace")
text(" to enable smart features.")
with div("Test colors", _class="script-hidden"):
with t.ul():
with t.li():
t.span("new", style="color: blue")
t.button("clear all", onclick="resetState('all')")
with t.li():
t.span("marked OK", style="color: grey")
t.button("clear", onclick="resetState('ok')")
with t.li():
t.span("marked BAD", style="color: darkred")
t.button("clear", onclick="resetState('bad')")
html.report_links(failed_tests, REPORTS_PATH, ACTUAL_HASHES)
h2("Passed", style="color: green;")
html.report_links(passed_tests, REPORTS_PATH)
return html.write(REPORTS_PATH, doc, "index.html")
def _render_response(resp):
with H.section():
with H.div(_class=u'message-display'):
with H.h2(), H.code(): # Status line
# See above regarding spaces.
if resp.version:
H.span(printable(resp.version),
**_for_object(resp.version))
with H.span(**_for_object(resp.status)):
_render_known(resp.status)
H.span(printable(find_reason_phrase(resp)))
_render_message(resp) # Headers, body and all that
_render_complaints(resp)
def index():
passed_tests = list((REPORTS_PATH / "passed").iterdir())
failed_tests = list((REPORTS_PATH / "failed").iterdir())
title = "UI Test report " + datetime.now().strftime("%Y-%m-%d %H:%M:%S")
doc = dominate.document(title=title)
with doc:
h1("UI Test report")
if not failed_tests:
p("All tests succeeded!", style="color: green; font-weight: bold;")
else:
p("Some tests failed!", style="color: red; font-weight: bold;")
hr()
h2("Failed", style="color: red;")
html.report_links(failed_tests, REPORTS_PATH)
h2("Passed", style="color: green;")
html.report_links(passed_tests, REPORTS_PATH)
return html.write(REPORTS_PATH, doc, "index.html")
def generate_html_report(html, recipients, message):
current_time = time.strftime('%d/%m/%Y')
if not message:
message = f"Daily test results for {current_time}"
subject = f"Execution Results {current_time}"
else:
subject = message
with dominate.document(title='Test Report') as doc:
tags.html(tags.h2("Greetings,"))
tags.html(tags.h3(f"{message} (attached)"))
doc = str(doc)
send_mail(send_to=recipients, subject=subject, message=doc, payload=html)
return html
def _render_response(resp):
with H.section():
with H.div(_class=u'message-display'):
if resp.remark:
H.p(printable(resp.remark), _class=u'message-remark')
with H.h2(), H.code(): # Status line
# See above regarding spaces.
if resp.version:
H.span(printable(resp.version),
**_for_object(resp.version))
with H.span(**_for_object(resp.status)):
_render_known(resp.status)
H.span(printable(find_reason_phrase(resp)))
_render_message(resp) # Headers, body and all that
_render_complaints(resp)
def _render_request(req):
with H.section():
with H.div(_class=u'message-display'):
with H.h2(), H.code(): # Request line
# We don't insert spaces here because we assume that
# Dominate will render each element on its own line,
# thus implicitly creating whitespace.
# https://github.com/Knio/dominate/issues/68
with H.span(**_for_object(req.method)):
_render_known(req.method)
H.span(printable(req.target), **_for_object(req.target))
if req.version:
H.span(printable(req.version), **_for_object(req.version))
_render_message(req) # Headers, body and all that
_render_complaints(req)
def _render_request(req):
with H.section():
with H.div(_class=u'message-display'):
with H.h2(), H.code(): # Request line
# We don't insert spaces here because,
# without ``__pretty=False``,
# Dominate renders each element on its own line,
# thus implicitly creating whitespace.
with H.span(**_for_object(req.method)):
_render_known(req.method)
H.span(printable(req.target), **_for_object(req.target))
if req.version:
H.span(printable(req.version), **_for_object(req.version))
_render_message(req) # Headers, body and all that
_render_complaints(req)
def add_nulls(self):
with self.doc:
dtg.h2("Null tests", id='nulls')
lst = dtg.ul()
pols = ['e', 'b']
for t1, t2 in self.s_null.get_tracer_combinations():
title = f"{t1} x {t2}"
fname = self.get_output('plots') + '/cls_null_'
fname += f"{t1}_x_{t2}.png"
print(fname)
plt.figure()
plt.title(title, fontsize=15)
for p1 in range(2):
for p2 in range(2):
x = pols[p1] + pols[p2]
typ = 'cl_' + x
l, cl, cv = self.s_null.get_ell_cl(typ,
t1,
t2,
return_cov=True)
msk = l < self.lmx
el = np.sqrt(np.fabs(np.diag(cv)))[msk]
plt.errorbar(l[msk],
cl[msk] / el,
yerr=np.ones_like(el),
fmt=self.cols_typ[x] + '-',
label=x)
plt.xlabel('$\\ell$', fontsize=15)
plt.ylabel('$C_\\ell/\\sigma_\\ell$', fontsize=15)
plt.legend()
plt.savefig(fname, bbox_index='tight')
plt.close()
lst += dtg.li(dtg.a(title, href=fname))
dtg.div(dtg.a('Back to TOC', href='#contents'))
def courseTextContent(analysis):
"""
Make a list of courses and their assigned texts.
"""
intro = div(
h2("Course-Text Graph"),
p("This graph shows courses that teach data ethics, and the required texts scraped from those courses' syllabi."
),
_class="intro")
container = div(id="mynetwork")
loadingBar = div(div(div("0%", id="text"),
div(div(id="bar"), id="border"),
_class="outerBorder"),
id="loadingBar")
return (intro, container, loadingBar, analysis, courseTextList())
def uniCourseContent(analysis):
"""
Make a list of universities and their courses.
"""
intro = div(
h2("University-Course Graph"),
p("This graph shows courses that teach data ethics, and the universities in which those courses are taught."
),
_class="intro")
container = div(id="mynetwork")
loadingBar = div(div(div("0%", id="text"),
div(div(id="bar"), id="border"),
_class="outerBorder"),
id="loadingBar")
return (intro, container, loadingBar, analysis, uniCourseList())
def _render_response(resp):
with H.section():
with H.div(_class=u'message-display'):
if resp.remark:
H.p(printable(resp.remark), _class=u'message-remark')
with H.h2(), H.code(): # Status line
# See above regarding spaces.
if resp.version:
H.span(printable(resp.version),
**_for_object(resp.version))
# httpolice-devtool (the Chrome extension) relies
# on the ``StatusCode`` class. Avoid breaking it, at least
# as long as it doesn't inconvenience HTTPolice itself.
with H.span(**_for_object(resp.status, u'StatusCode')):
_render_known(resp.status)
text_node(u' ' + printable(find_reason_phrase(resp)))
_render_message(resp) # Headers, body and all that
_render_complaints(resp)
def generatePostStatsHTML(graph,statsFilePath = "stats.html",postStatsFilePath = "postStats.html"): #Generates Post-Stats page
voxelWise = checkHeightThreshold(graph)
clusterWise = checkExtentThreshold(graph)
softwareLabelNum = queryVersionNum(graph)
softwareLabelNumList = addQueryToList(softwareLabelNum)
statisticType = queryStatisticType(graph)
statisticType = statisticImage(statisticType[0])
statisticTypeString = statisticImageString(statisticType)
contrastName = queryContrastName(graph)
statisticMapImage = queryExcursionSetMap(graph)
postStats = document(title="FSL Viewer") #Creates initial HTML page (Post Stats)
postStats += h1("Sample FSL Viewer")
postStats += ul(li(a("Stats", href="stats.html")), li("-"),li(a("Post Stats", href = "postStats.html")))
postStats += h2("Post-stats")
postStats += hr()
postStats += h3("Analysis Methods")
if voxelWise == True: #If main threshold is Height Threshold
mainThreshValue = queryHeightThresholdValue(graph)
if askSpm(graph) == True:
postStats += p("FMRI data processing was carried out using SPM Version %s (SPM, http://www.fil.ion.ucl.ac.uk/spm/). %s statistic images were thresholded at P = %s (corrected)" % (softwareLabelNumList[1], statisticTypeString, mainThreshValue[0]))
elif askFsl(graph) == True:
fslFeatVersion = queryFslFeatVersion(graph)
postStats += p("FMRI data processing was carried out using FEAT (FMRI Expert Analysis Tool) Version %s, part of FSL %s (FMRIB's Software Library, www.fmrib.ox.ac.uk/fsl)."
"%s statistic images were thresholded at P = %s (corrected)"
%(fslFeatVersion[0], softwareLabelNumList[1], statisticTypeString, mainThreshValue[0]))
elif clusterWise == True: #If main threshold is extent threshold
mainThreshValue = queryClusterThresholdValue(graph)
heightThreshValue = queryUHeightThresholdValue(graph)
clusterThreshType = clusterFormingThreshType(graph, statisticType)
if askSpm(graph) == True:
postStats += p("FMRI data processing was carried out using SPM Version %s (SPM, http://www.fil.ion.ucl.ac.uk/spm/). %s statistic images were thresholded using clusters determined by %s > %s and a (corrected) "
"cluster significance of P = %s "
% (softwareLabelNumList[1], statisticTypeString, clusterThreshType, heightThreshValue[0], mainThreshValue[0]))
elif askFsl(graph) == True:
fslFeatVersion = queryFslFeatVersion(graph)
postStats += p("FMRI data processing was carried out using FEAT (FMRI Expert Analysis Tool) Version %s, part of FSL %s (FMRIB's Software Library, www.fmrib.ox.ac.uk/fsl). %s statistic images were thresholded "
"using clusters determined by %s > %s and a (corrected) cluster significance of P = %s"
%(fslFeatVersion[0], softwareLabelNumList[1], statisticTypeString, clusterThreshType, heightThreshValue[0], mainThreshValue[0]))
else: #If there is no corrected threshold - assume voxel wise
mainThreshValue = queryUHeightThresholdValue(graph)
if askSpm(graph) == True and askIfPValueUncorrected(graph) == True: #SPM used and threshold type is nidm_PValueUncorrected
postStats += p("FMRI data processing was carried out using SPM Version %s (SPM, http://www.fil.ion.ucl.ac.uk/spm/). %s statistic images were thresholded at P = %s (uncorrected)" % (softwareLabelNumList[1], statisticTypeString, mainThreshValue[0]))
elif askSpm(graph) == True and askIfOboStatistic(graph) == True: #SPM used and threshold type is obo_statistic
postStats += p("FMRI data processing was carried out using SPM Version %s (SPM, http://www.fil.ion.ucl.ac.uk/spm/). %s statistic images were thresholded at %s = %s (uncorrected)" % (softwareLabelNumList[1], statisticTypeString, statisticType, mainThreshValue[0]))
elif askFsl(graph) == True and askIfPValueUncorrected(graph) == True:
fslFeatVersion = queryFslFeatVersion(graph)
postStats += p("FMRI data processing was carried out using FEAT (FMRI Expert Analysis Tool) Version %s, part of FSL %s (FMRIB's Software Library, www.fmrib.ox.ac.uk/fsl)."
"%s statistic images were thresholded at P = %s (uncorrected)." % (fslFeatVersion[0], softwareLabelNumList[1], statisticTypeString, mainThreshValue[0]))
elif askFsl(graph) == True and askIfOboStatistic(graph) == True:
fslFeatVersion = queryFslFeatVersion(graph)
postStats += p("FMRI data processing was carried out using FEAT (FMRI Expert Analysis Tool) Version %s, part of FSL %s (FMRIB's Software Library, www.fmrib.ox.ac.uk/fsl)."
"%s statistic images were thresholded at %s = %s (uncorrected)." % (fslFeatVersion[0], softwareLabelNumList[1], statisticTypeString, statisticType, mainThreshValue[0]))
postStats += hr()
postStats += h3("Thresholded Activation Images")
postStats += hr()
i = 0
if askFsl(graph) == True:
while i < len(contrastName):
postStats += p("%s" % contrastName[i])
postStats += img(src = statisticMapImage[i])
i = i + 1
postStatsFile = open(postStatsFilePath, "x")
print(postStats, file = postStatsFile)
postStatsFile.close()