async def serve(q: Q):
if q.args.show_inputs:
q.page['example'].items = [
ui.text(f'toggle_unchecked={q.args.toggle_unchecked}'),
ui.text(f'toggle_checked={q.args.toggle_checked}'),
ui.text(
f'toggle_unchecked_disabled={q.args.toggle_unchecked_disabled}'
),
ui.text(
f'toggle_checked_disabled={q.args.toggle_checked_disabled}'),
ui.button(name='show_form', label='Back', primary=True),
]
else:
q.page['example'] = ui.form_card(
box='1 1 4 10',
items=[
ui.toggle(name='toggle_unchecked', label='Not checked'),
ui.toggle(name='toggle_checked', label='Checked', value=True),
ui.toggle(name='toggle_unchecked_disabled',
label='Not checked (Disabled)',
disabled=True),
ui.toggle(name='toggle_checked_disabled',
label='Checked (Disabled)',
value=True,
disabled=True),
ui.button(name='show_inputs', label='Submit', primary=True),
])
await q.page.save()
async def serve(q: Q):
if not q.client.initialized:
q.page['meta'] = ui.meta_card(box='', theme='neon')
q.page['controls'] = ui.form_card(box='1 1 2 8', items=[
ui.text_xl('Form'),
ui.textbox(name='textbox', label='Textbox'),
ui.toggle(name='toggle', label='Toggle'),
ui.choice_group(name='choice_group', label='Choice group', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.checklist(name='checklist', label='Checklist', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.dropdown(name='dropdown', label='Dropdown', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.slider(name='slider', label='Slider'),
ui.button(name='toggle_theme', label='Toggle Theme', primary=True)
])
q.client.theme = 'default'
q.client.initialized = True
meta = q.page['meta']
if q.args.toggle_theme:
meta.theme = q.client.theme = 'neon' if q.client.theme == 'default' else 'default'
await q.page.save()
async def serve(q: Q):
if not q.client.initialized: # First visit
q.client.initialized = True
q.client.points = 25
q.client.plotly_controls = False
q.page['controls'] = ui.form_card(box='1 1 4 2',
items=[
ui.slider(name='points',
label='Points',
min=5,
max=50,
step=1,
value=q.client.points,
trigger=True),
ui.toggle(
name='plotly_controls',
label='Plotly Controls',
trigger=True),
])
q.page['plot'] = ui.frame_card(box='1 3 4 5', title='', content='')
if q.args.points:
q.client.points = q.args.points
if q.args.plotly_controls is not None:
q.client.plotly_controls = q.args.plotly_controls
n = q.client.points
# Create plot with plotly
fig = go.Figure(data=go.Scatter(
x=np.random.rand(n),
y=np.random.rand(n),
mode='markers',
marker=dict(size=(8 * np.random.rand(n))**2, color=np.random.rand(n)),
opacity=0.8,
))
_ = fig.update_layout(
margin=dict(l=10, r=10, t=10, b=10),
paper_bgcolor='rgb(255, 255, 255)',
plot_bgcolor='rgb(255, 255, 255)',
)
config = {
'scrollZoom': q.client.plotly_controls,
'showLink': q.client.plotly_controls,
'displayModeBar': q.client.plotly_controls
}
html = pio.to_html(fig,
validate=False,
include_plotlyjs='cdn',
config=config)
q.page['plot'].content = html
# Save page
await q.page.save()
def init(q: Q):
q.client.primary_color = '$blue'
q.client.secondary_color = '$cyan'
q.client.tertiary_color = '$azure'
q.page['meta'] = ui.meta_card(
box='',
title='Telco Churn Analytics',
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone('header'),
ui.zone('title'),
ui.zone('content',
zones=[
ui.zone('code'),
ui.zone('top',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone('top-plot',
size='70%'),
ui.zone('top-stats')
]),
ui.zone('middle',
direction=ui.ZoneDirection.ROW),
])
])
])
q.page['header'] = ui.header_card(
box='header',
title='Telecom Churn Analytics',
subtitle='EDA & Churn Modeling with AutoML & Wave',
nav=[
ui.nav_group('Main Menu',
items=[
ui.nav_item(name='analysis', label='Analysis'),
ui.nav_item(name='code',
label='Application Code'),
])
])
q.page['title'] = ui.section_card(
box='title',
title='Customer profiles from model predictions',
subtitle='Customer: No customer chosen',
items=[
# TODO: Replace with dropdown after https://github.com/h2oai/wave/pull/303 merged.
ui.picker(name='customers',
label='Customer Phone Number',
choices=[
ui.choice(name=str(phone), label=str(phone))
for phone in df['Phone']
],
max_choices=1,
trigger=True),
ui.toggle(name='theme', label='Dark Theme', trigger=True)
])
def form_default(q: Q):
# display when app is initialized
return [
ui.text(content=DATASET_TEXT),
ui.dropdown(name='dai_instance_id', label='Select Driverless AI instance', value=q.client.dai_instance_id,
choices=q.client.choices_dai_instances, required=True),
ui.text(content=STEAM_TEXT, visible=q.client.disable_training),
ui.slider(name='dai_interpretability', label='Interpretability', min=1, max=10, step=1, value=7),
ui.toggle(name='dai_reproducible', label='Reproducible', value=False),
ui.buttons(items=[
ui.button(name='train', label='Train', primary=True, disabled=q.client.disable_training),
ui.button(name='predict', label='Predict', primary=True, disabled=True),
])
]
def form_training_completed(q: Q):
# display when model training is completed
return [
ui.text(content=DATASET_TEXT),
ui.dropdown(name='dai_instance_id', label='Select Driverless AI instance', value=q.client.dai_instance_id,
choices=q.client.choices_dai_instances, required=True),
ui.slider(name='dai_interpretability', label='Interpretability', min=1, max=10, step=1,
value=q.client.dai_interpretability),
ui.toggle(name='dai_reproducible', label='Reproducible', value=q.client.dai_reproducible),
ui.buttons(items=[
ui.button(name='train', label='Train', primary=True),
ui.button(name='predict', label='Predict', primary=True)
]),
ui.message_bar(type='success', text='Training successfully completed!'),
ui.text(content=q.client.model_details)
]
def form_training_progress(q: Q):
# display when model training is in progress
return [
ui.text(content=DATASET_TEXT),
ui.dropdown(name='dai_instance_id', label='Select Driverless AI instance', value=q.client.dai_instance_id,
choices=q.client.choices_dai_instances, required=True),
ui.slider(name='dai_interpretability', label='Interpretability', min=1, max=10, step=1,
value=q.client.dai_interpretability),
ui.toggle(name='dai_reproducible', label='Reproducible', value=q.client.dai_reproducible),
ui.buttons(items=[
ui.button(name='train', label='Train', primary=True, disabled=True),
ui.button(name='predict', label='Predict', primary=True, disabled=True)
]),
ui.progress(label='Training in progress...', caption='This can take a few minutes...'),
ui.text(content=q.client.model_details)
]
async def show_blue_dashboard(q: Q):
q.page['meta'] = ui.meta_card(
box='',
layouts=[
ui.layout(breakpoint='xl',
width='1200px',
zones=[
ui.zone('header', size='80px'),
ui.zone('title', size='0'),
ui.zone('top',
direction=ui.ZoneDirection.ROW,
size='200px'),
ui.zone('middle',
direction=ui.ZoneDirection.ROW,
size='385px'),
ui.zone('bottom',
direction=ui.ZoneDirection.ROW,
size='385px'),
ui.zone('footer', size='50px'),
])
])
q.page['header'] = ui.header_card(box='header',
title='H2O Wave Demo',
subtitle='Blue Dashboard',
nav=global_nav)
q.page['title'] = ui.section_card(
box='title',
title=next(sample_title),
subtitle=next(sample_caption),
items=[
ui.toggle(name='search', label=next(sample_term), value=True),
ui.dropdown(name='distribution',
label='',
value='option0',
choices=[
ui.choice(name=f'option{i}',
label=next(sample_term))
for i in range(5)
]),
ui.date_picker(name='target_date', label='', value='2020-12-25'),
],
)
sales_dates = generate_time_series(1000)
sales_values = generate_random_walk()
q.page['total_quantity'] = ui.tall_series_stat_card(
box=ui.box('top', order=1),
title=next(sample_term),
value=next(sample_dollars),
aux_value=next(sample_title),
plot_type='area',
plot_color='$blue',
plot_category='date',
plot_value='quantity',
plot_zero_value=0,
plot_data=data(
fields=['date', 'quantity'],
rows=[(next(sales_dates), next(sales_values)) for i in range(30)],
pack=True,
),
)
q.page['total_cost'] = ui.tall_series_stat_card(
box=ui.box('top', order=2),
title=next(sample_term),
value=next(sample_amount),
aux_value=next(sample_percent),
plot_type='area',
plot_color='$blue',
plot_category='date',
plot_value='cost',
plot_zero_value=0,
plot_data=data(
fields=['date', 'cost'],
rows=[(next(sales_dates), next(sales_values)) for i in range(30)],
pack=True,
),
)
q.page['total_revenue'] = ui.tall_series_stat_card(
box=ui.box('top', order=3),
title=next(sample_term),
value=next(sample_dollars),
aux_value=next(sample_title),
plot_type='area',
plot_color='$blue',
plot_category='date',
plot_value='revenue',
plot_zero_value=0,
plot_data=data(
fields=['date', 'revenue'],
rows=[(next(sales_dates), next(sales_values)) for i in range(30)],
pack=True,
),
)
q.page['total_profit'] = ui.tall_series_stat_card(
box=ui.box('top', order=4),
title=next(sample_term),
value=next(sample_amount),
aux_value=next(sample_title),
plot_type='area',
plot_color='$blue',
plot_category='date',
plot_value='profit',
plot_zero_value=0,
plot_data=data(
fields=['date', 'profit'],
rows=[(next(sales_dates), next(sales_values)) for i in range(30)],
pack=True,
),
)
ytd_revenue = generate_random_walk(0, 10000, 0.5)
q.page['revenue_by_customer'] = ui.plot_card(
box='middle',
title=next(sample_title),
data=data(
fields=['channel', 'sessions'],
rows=[(next(sample_term), next(ytd_revenue)) for i in range(10)],
pack=True,
),
plot=ui.plot([
ui.mark(type='interval',
x='=sessions',
y='=channel',
y_min=0,
color='$blue')
]))
months = generate_sequence(['Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])
q.page['ytd_revenue'] = ui.plot_card(
box=ui.box(zone='middle', width='66%', order=2),
title=next(sample_title),
data=data(fields=['month', 'channel', 'revenue'],
rows=[(next(months), 'Online', next(ytd_revenue))
for i in range(6)] +
[(next(months), 'In-store', next(ytd_revenue))
for i in range(6)],
pack=True),
plot=ui.plot([
ui.mark(type='interval',
x='=month',
y='=revenue',
color='=channel',
dodge='auto',
y_min=0,
color_range='$cyan $blue')
]))
q.page['top_products'] = ui.stat_list_card(
box='bottom',
title=next(sample_title),
subtitle=next(sample_caption),
items=[
ui.stat_list_item(label=next(sample_term),
caption=next(sample_title),
value=next(sample_dollars),
icon=next(sample_icon),
icon_color=next(sample_color)) for i in range(5)
],
)
q.page['recent_earnings'] = ui.stat_table_card(
box=ui.box(zone='bottom', width='66%', order=2),
title=next(sample_title),
subtitle=next(sample_caption),
columns=['Date', 'Sales', 'Earnings', 'Taxes'],
items=[
ui.stat_table_item(label=next(sample_title),
values=[
next(sample_dollars),
next(sample_percent),
next(sample_amount)
]) for i in range(8)
])
q.page['footer'] = ui.footer_card(
box='footer', caption='(c) 2021 H2O.ai. All rights reserved.')
await q.page.save()
async def serve(q: Q):
q.page['example'] = ui.form_card(box='1 1 4 10', items=[
ui.text_xl(content='Extra-large text, for headings.'),
ui.text_l(content='Large text, for sub-headings.'),
ui.text_m(content='Body text, for paragraphs and other content.'),
ui.text_s(content='Small text, for small print.'),
ui.text_xs(content='Extra-small text, for really small print.'),
ui.separator(label='A separator sections forms'),
ui.progress(label='A progress bar'),
ui.progress(label='A progress bar'),
ui.message_bar(type='success', text='Message bar'),
ui.textbox(name='textbox', label='Textbox'),
ui.label(label='Checkboxes'),
ui.checkbox(name='checkbox1', label='A checkbox'),
ui.checkbox(name='checkbox1', label='Another checkbox'),
ui.checkbox(name='checkbox1', label='Yet another checkbox'),
ui.toggle(name='toggle', label='Toggle'),
ui.choice_group(name='choice_group', label='Choice group', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.checklist(name='checklist', label='Checklist', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.dropdown(name='dropdown', label='Dropdown', choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.dropdown(name='dropdown', label='Multi-valued Dropdown', values=[], choices=[
ui.choice(name=x, label=x) for x in ['Egg', 'Bacon', 'Spam']
]),
ui.combobox(name='combobox', label='Combobox', choices=['Choice 1', 'Choice 2', 'Choice 3']),
ui.slider(name='slider', label='Slider'),
ui.range_slider(name='range_slider', label='Range slider', max=99),
ui.spinbox(name='spinbox', label='Spinbox'),
ui.date_picker(name='date_picker', label='Date picker'),
ui.color_picker(name='color_picker', label='Color picker'),
ui.buttons([
ui.button(name='primary_button', label='Primary', primary=True),
ui.button(name='standard_button', label='Standard'),
ui.button(name='standard_disabled_button', label='Standard', disabled=True),
]),
ui.file_upload(name='file_upload', label='File upload'),
ui.table(name='table', columns=[
ui.table_column(name='col1', label='Column 1'),
ui.table_column(name='col2', label='Column 2'),
], rows=[
ui.table_row(name='row1', cells=['Text A', 'Text B']),
ui.table_row(name='row2', cells=['Text C', 'Text D']),
ui.table_row(name='row3', cells=['Text E', 'Text F']),
]),
ui.link(label='Link'),
ui.tabs(name='tabs', items=[
ui.tab(name='email', label='Mail', icon='Mail'),
ui.tab(name='events', label='Events', icon='Calendar'),
ui.tab(name='spam', label='Spam'),
]),
ui.expander(name='expander', label='Expander'),
ui.frame(path='https://example.com'),
ui.markup(content=html),
ui.template(
content=menu,
data=pack(dict(dishes=[
dict(name='Spam', price='$2.00'),
dict(name='Ham', price='$3.45'),
dict(name='Eggs', price='$1.75'),
]))
),
ui.picker(name='picker', label='Picker', choices=[
ui.choice('choice1', label='Choice 1'),
ui.choice('choice2', label='Choice 2'),
ui.choice('choice3', label='Choice 3'),
]),
ui.stepper(name='stepper', items=[
ui.step(label='Step 1', icon='MailLowImportance'),
ui.step(label='Step 2', icon='TaskManagerMirrored'),
ui.step(label='Step 3', icon='Cafe'),
]),
ui.visualization(
plot=ui.plot([ui.mark(type='interval', x='=product', y='=price', y_min=0)]),
data=data(fields='product price', rows=[(c, x) for c, x, _ in [f.next() for _ in range(n)]], pack=True),
),
ui.vega_visualization(
specification=spec,
data=data(fields=["a", "b"], rows=[
["A", rnd()], ["B", rnd()], ["C", rnd()],
["D", rnd()], ["E", rnd()], ["F", rnd()],
["G", rnd()], ["H", rnd()], ["I", rnd()]
], pack=True),
),
ui.button(name='show_inputs', label='Submit', primary=True),
])
await q.page.save()
async def show_cyan_dashboard(q: Q):
q.page['meta'] = ui.meta_card(box='', layouts=[
ui.layout(
breakpoint='xl',
width='1200px',
zones=[
ui.zone('header', size='0'),
ui.zone('body', direction=ui.ZoneDirection.ROW, zones=[
ui.zone('content', size='75%', zones=[
ui.zone('top', size='600px'),
ui.zone('middle', size='300px', direction=ui.ZoneDirection.ROW, zones=[
ui.zone('middle_left'),
ui.zone('middle_right'),
]),
ui.zone('bottom', size='500px'),
]),
ui.zone('sidebar', size='25%'),
]),
ui.zone('footer', size='0'),
]
)
])
q.page['header'] = ui.header_card(box='header', title='H2O Wave Demo', subtitle='Cyan Dashboard',
nav=global_nav)
q.page['section'] = ui.section_card(
box=ui.box('top', order=1, size=0),
title=next(sample_title),
subtitle=next(sample_caption),
items=[
ui.toggle(name='when', label=next(sample_term), value=False),
ui.toggle(name='what', label=next(sample_term), value=True),
]
)
trend_date = generate_time_series(300)
trend_price = generate_random_walk(2000, 8000, 0.2)
q.page['sales_overview'] = ui.form_card(
box=ui.box('top', order=2),
title=next(sample_title),
items=[
ui.stats(items=[
ui.stat(label=next(sample_term), value=next(sample_percent), caption=next(sample_dollars)),
ui.stat(label=next(sample_term), value=next(sample_dollars), caption=next(sample_percent)),
ui.stat(label=next(sample_term), value=next(sample_amount), caption=next(sample_percent)),
ui.stat(label=next(sample_term), caption=next(sample_caption)),
], inset=True),
ui.visualization(
plot=ui.plot([
ui.mark(type='area', x_scale='time', x='=date', y='=price', color='$cyan'),
]),
data=data(
fields=['date', 'price'],
rows=[(next(trend_date), next(trend_price)) for i in range(120)],
pack=True
),
height='350px',
),
],
)
q.page['ticket_sales'] = ui.form_card(
box=ui.box('middle_left'),
title=next(sample_title),
items=[
ui.visualization(
plot=ui.plot([
ui.mark(type='interval', x_scale='time', x='=date', y='=price', color='$cyan'),
]),
data=data(
fields=['date', 'price'],
rows=[(next(trend_date), next(trend_price)) for i in range(120)],
pack=True
),
height='150px',
),
ui.stats(items=[
ui.stat(label=next(sample_term), value=next(sample_percent)) for i in range(4)
], justify='between', inset=True),
],
)
q.page['events_hosted'] = ui.wide_bar_stat_card(
box=ui.box('middle_right', order=1),
title=next(sample_title),
value=next(sample_dollars),
aux_value=next(sample_percent),
progress=random.random(),
plot_color='$cyan',
)
q.page['points_earned'] = ui.wide_bar_stat_card(
box=ui.box('middle_right', order=2),
title=next(sample_title),
value=next(sample_amount),
aux_value=next(sample_percent),
progress=random.random(),
plot_color='$cyan',
)
q.page['points_given'] = ui.wide_bar_stat_card(
box=ui.box('middle_right', order=3),
title=next(sample_title),
value=next(sample_dollars),
aux_value=next(sample_percent),
progress=random.random(),
plot_color='$cyan',
)
session_count = generate_random_walk(1000, 8000)
q.page['event_poll'] = ui.form_card(
box='bottom',
title=next(sample_title),
items=[
ui.inline(items=[
ui.dropdown(name='region', label=next(sample_term), value='option0', choices=[
ui.choice(name=f'option{i}', label=next(sample_term)) for i in range(5)
]),
ui.dropdown(name='age', label=next(sample_term), value='option0', choices=[
ui.choice(name=f'option{i}', label=next(sample_term)) for i in range(5)
]),
ui.dropdown(name='response', label=next(sample_term), value='option0', choices=[
ui.choice(name=f'option{i}', label=next(sample_term)) for i in range(5)
]),
]),
ui.visualization(
plot=ui.plot([
ui.mark(type='interval', x='=sessions', y='=channel', y_min=0, color='$cyan')
]),
data=data(
fields=['channel', 'sessions'],
rows=[(next(sample_term), next(session_count)) for i in range(10)],
pack=True,
),
height='350px',
),
],
)
q.page['sidebar_section'] = ui.section_card(
box=ui.box('sidebar', order=1, size='0'),
title=next(sample_title),
subtitle=next(sample_caption),
)
q.page['filter'] = ui.form_card(
box=ui.box('sidebar', height='335px', order=2),
title=next(sample_title),
items=[
ui.dropdown(name='region', label=next(sample_term), value='option0', choices=[
ui.choice(name=f'option{i}', label=next(sample_term)) for i in range(5)
]),
ui.dropdown(name='age', label=next(sample_term), value='option0', choices=[
ui.choice(name=f'option{i}', label=next(sample_term)) for i in range(5)
]),
ui.dropdown(name='response', label=next(sample_term), value='option0', choices=[
ui.choice(name=f'option{i}', label=next(sample_term)) for i in range(5)
]),
ui.checkbox(name='plural', label=next(sample_title), value=True),
ui.checkbox(name='annual', label=next(sample_title), value=True),
],
)
event_icon = generate_random_choice(['MusicInCollection', 'Video', 'TVMonitor'])
q.page['upcoming_events'] = ui.stat_list_card(
box=ui.box('sidebar', order=3),
title=next(sample_title),
subtitle=next(sample_caption),
items=[ui.stat_list_item(label=next(sample_title), caption=next(sample_caption),
aux_value=f'{random.randint(1, 59)}m',
icon=next(event_icon)) for i in range(10)],
)
q.page['footer'] = ui.footer_card(box='footer', caption='(c) 2021 H2O.ai. All rights reserved.')
await q.page.save()
async def serve(q: Q):
if not q.client.initialized:
q.page['meta'] = ui.meta_card(
box='',
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone(name='title'),
ui.zone(name='plots',
direction=ui.ZoneDirection.ROW,
wrap='start',
justify='center'),
]),
ui.layout(breakpoint='m',
zones=[
ui.zone(name='title'),
ui.zone(name='plots',
direction=ui.ZoneDirection.ROW,
wrap='start',
justify='center'),
]),
ui.layout(breakpoint='xl',
zones=[
ui.zone(name='title'),
ui.zone(name='plots',
direction=ui.ZoneDirection.ROW,
wrap='start',
justify='center'),
]),
])
q.client.active_theme = 'default'
q.page['title'] = ui.section_card(
box='title',
title='Plot theme demo',
subtitle='Toggle theme to see default plot colors change!',
items=[
ui.toggle(name='toggle_theme',
label='Dark theme',
trigger=True)
],
)
v = q.page.add(
'point-sized',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Point, sized',
data=data('price performance discount', n),
plot=ui.plot([
ui.mark(type='point',
x='=price',
y='=performance',
size='=discount')
])))
v.data = [(x, y, random.randint(1, 10))
for x, y in [f_scat.next() for _ in range(n)]]
v = q.page.add(
'point-shapes',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Point, shapes',
data=data('product price performance', n * 2),
plot=ui.plot([
ui.mark(type='point',
x='=price',
y='=performance',
shape='=product',
shape_range='circle square')
])))
v.data = [
('G1', x, y) for x, y in [f_scat.next() for _ in range(n)]
] + [('G2', x, y) for x, y in [f_scat.next() for _ in range(n)]]
k1, k2 = 20, 10
v = q.page.add(
'poit-size',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Points, size-encoded',
data=data('country product profit', k1 * k2),
plot=ui.plot([
ui.mark(type='point',
x='=country',
y='=product',
size='=profit',
shape='circle')
])))
rows = []
for i in range(k1):
for j in range(k2):
x = f.next()
rows.append((f'A{i + 1}', f'B{j + 1}', x))
v.data = rows
v = q.page.add(
'area',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area',
data=data('date price', n),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=price',
y_min=0)
])))
v.data = [(t, x) for t, x, dx in [f.next() for _ in range(n)]]
v = q.page.add(
'area-line',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area + Line',
data=data('date price', n),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=price',
y_min=0),
ui.mark(type='line', x='=date', y='=price')
])))
v.data = [(t, x) for t, x, dx in [f.next() for _ in range(n)]]
v = q.page.add(
'area-line-smooth',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area + Line, smooth',
data=data('date price', n),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=price',
curve='smooth',
y_min=0),
ui.mark(type='line',
x='=date',
y='=price',
curve='smooth')
])))
v.data = [(t, x) for t, x, dx in [f.next() for _ in range(n)]]
v = q.page.add(
'area-line-groups',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area + Line, groups',
data=data('product date price', n * 5),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=price',
color='=product',
y_min=0),
ui.mark(type='line',
x='=date',
y='=price',
color='=product')
])))
v.data = [(g, t, x) for x in [f_multi.next() for _ in range(n)]
for g, t, x, dx in x]
v = q.page.add(
'area-groups',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area, groups',
data=data('product date price', n * 5),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=price',
color='=product',
y_min=0)
])))
v.data = [(g, t, x) for x in [f_multi.next() for _ in range(n)]
for g, t, x, dx in x]
v = q.page.add(
'area-stacked',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area, stacked',
data=data('product date price', n * 5),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=price',
color='=product',
stack='auto',
y_min=0)
])))
v.data = [(g, t, x) for x in [f_multi.next() for _ in range(n)]
for g, t, x, dx in x]
f_negative = FakeTimeSeries(min=-50, max=50, start=0)
v = q.page.add(
'area-negative-values',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area, negative values',
data=data('date price', n),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=price')
])))
v.data = [(t, x) for t, x, dx in [f_negative.next() for _ in range(n)]]
v = q.page.add(
'area-range',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area, range',
data=data('date low high', n),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y0='=low',
y='=high')
])))
v.data = [(t, x - random.randint(3, 8), x + random.randint(3, 8))
for t, x, dx in [f.next() for _ in range(n)]]
v = q.page.add(
'area-smooth',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Area, smooth',
data=data('date price', n),
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=price',
curve='smooth',
y_min=0)
])))
v.data = [(t, x) for t, x, dx in [f.next() for _ in range(n)]]
v = q.page.add(
'example',
ui.plot_card(
box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Label Customization',
data=data('product price', n),
plot=ui.plot([
ui.mark(
type='interval',
x='=product',
y=
'=${{intl price minimum_fraction_digits=2 maximum_fraction_digits=2}}',
y_min=0,
label=
'=${{intl price minimum_fraction_digits=2 maximum_fraction_digits=2}}',
label_offset=0,
label_position='middle',
label_rotation='-90',
label_fill_color='#fff',
label_font_weight='bold')
])))
v.data = [(c, x) for c, x, dx in [f_cat.next() for _ in range(n)]]
v = q.page.add(
'interval',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Interval',
data=data('product price', n),
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y='=price',
y_min=0)
])))
v.data = [(c, x) for c, x, dx in [f_cat.next() for _ in range(n)]]
v = q.page.add(
'interval-annotation',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Categorical-Numeric',
data=data('product price', n),
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y='=price',
y_min=0,
y_max=100),
ui.mark(x='C20', y=80, label='point'),
ui.mark(x='C23', label='vertical line'),
ui.mark(y=40, label='horizontal line'),
ui.mark(x='C26',
x0='C23',
label='vertical region'),
ui.mark(y=70, y0=60, label='horizontal region')
])))
v.data = [(c, x) for c, x, dx in [f_cat.next() for _ in range(n)]]
v = q.page.add(
'histogram',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Histogram',
data=data('lo hi price', n),
plot=ui.plot([
ui.mark(type='interval',
y='=price',
x1='=lo',
x2='=hi',
y_min=0)
])))
v.data = [(i * 10, i * 10 + 10, x)
for i, (c, x,
dx) in enumerate([f_cat.next() for _ in range(n)])]
v = q.page.add(
'interval-range',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Histogram',
data=data('lo hi price', n),
plot=ui.plot([
ui.mark(type='interval',
y='=price',
x1='=lo',
x2='=hi',
y_min=0)
])))
v.data = [(i * 10, i * 10 + 10, x)
for i, (c, x,
dx) in enumerate([f_cat.next() for _ in range(n)])]
v = q.page.add(
'interval-range',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='35%'),
),
title='Interval, range',
data=data('product low high', 3),
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y0='=low',
y='=high')
])))
v.data = [(c, x - random.randint(3, 10), x + random.randint(3, 10))
for c, x, _ in [f.next() for _ in range(3)]]
v = q.page.add(
'interval-transpose',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='29%'),
),
title='Categorical-Numeric',
data=data('product price', 20),
plot=ui.plot([
ui.mark(type='interval',
y='=product',
x='=price',
x_min=0,
x_max=100),
])))
v.data = [(c, x) for c, x, dx in [f_cat.next() for _ in range(20)]]
v = q.page.add(
'intervals-theta-stacked',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Intervals, theta, stacked',
data=data('country product price', n * k),
plot=ui.plot([
ui.mark(coord='theta',
type='interval',
x='=product',
y='=price',
color='=country',
stack='auto',
y_min=0)
])))
v.data = [(g, t, x) for x in [f_cat_multi.next() for _ in range(n)]
for g, t, x, dx in x]
v = q.page.add(
'interval-helix',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Interval, helix',
data=data('product price', 60),
plot=ui.plot([
ui.mark(coord='helix',
type='interval',
x='=product',
y='=price',
y_min=0)
])))
v.data = [(c, x) for c, x, dx in [f_cat.next() for _ in range(60)]]
v = q.page.add(
'interval-polar',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Interval, polar',
data=data('product price', n),
plot=ui.plot([
ui.mark(coord='polar',
type='interval',
x='=product',
y='=price',
y_min=0)
])))
v.data = [(c, x) for c, x, dx in [f_cat.next() for _ in range(n)]]
v = q.page.add(
'intervals-groups',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Intervals, groups',
data=data('country product price', n * k),
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y='=price',
color='=country',
dodge='auto',
y_min=0)
])))
v.data = [(g, t, x) for x in [f_cat_multi.next() for _ in range(n)]
for g, t, x, dx in x]
v = q.page.add(
'intervals-stacked',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Intervals, stacked',
data=data('country product price', n * k),
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y='=price',
color='=country',
stack='auto',
y_min=0)
])))
v.data = [(g, t, x) for x in [f_cat_multi.next() for _ in range(n)]
for g, t, x, dx in x]
v = q.page.add(
'point-annotation',
ui.plot_card(
box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Numeric-Numeric',
data=data('price performance', n),
plot=ui.plot([
ui.mark(type='point',
x='=price',
y='=performance',
x_min=0,
x_max=100,
y_min=0,
y_max=100), # the plot
ui.mark(x=50, y=50,
label='point'), # A single reference point
ui.mark(x=40, label='vertical line'),
ui.mark(y=40, label='horizontal line'),
ui.mark(x=70, x0=60, label='vertical region'),
ui.mark(y=70, y0=60, label='horizontal region'),
ui.mark(x=30,
x0=20,
y=30,
y0=20,
label='rectangular region')
])))
v.data = [f_scat.next() for _ in range(n)]
v = q.page.add(
'path',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Path',
data=data('profit sales', n),
plot=ui.plot(
[ui.mark(type='path', x='=profit', y='=sales')])))
v.data = [(x, y) for x, y in [f_scat.next() for _ in range(n)]]
v = q.page.add(
'step',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Line, step',
data=data('date price', n),
plot=ui.plot([
ui.mark(type='line',
x_scale='time',
x='=date',
y='=price',
curve='step',
y_min=0)
])))
v.data = [(t, x) for t, x, dx in [f.next() for _ in range(n)]]
v = q.page.add(
'line-annotation',
ui.plot_card(box=ui.boxes(
ui.box('plots', width='100%'),
ui.box('plots', width='48%'),
ui.box('plots', width='32%'),
),
title='Time-Numeric',
data=data('date price', n),
plot=ui.plot([
ui.mark(type='line',
x_scale='time',
x='=date',
y='=price',
y_min=0,
y_max=100),
ui.mark(x=50, y=50, label='point'),
ui.mark(x='2010-05-15T19:59:21.000000Z',
label='vertical line'),
ui.mark(y=40, label='horizontal line'),
ui.mark(x='2010-05-24T19:59:21.000000Z',
x0='2010-05-20T19:59:21.000000Z',
label='vertical region'),
ui.mark(y=70, y0=60, label='horizontal region'),
ui.mark(x='2010-05-10T19:59:21.000000Z',
x0='2010-05-05T19:59:21.000000Z',
y=30,
y0=20,
label='rectangular region')
])))
v.data = [(t, x) for t, x, dx in [f.next() for _ in range(n)]]
q.client.initialized = True
if q.args.toggle_theme is not None:
q.client.active_theme = 'neon' if q.args.toggle_theme else 'default'
q.page['meta'].theme = q.client.active_theme
q.page['title'].items[0].toggle.value = q.client.active_theme == 'neon'
await q.page.save()
async def serve(q: Q):
if q.args.train:
# train WaveML Model using H2O-3 AutoML
copy_expando(q.args, q.client)
exclude_algos = [] if q.client.include_dl else ['DeepLearning']
q.client.wave_model = build_model(
train_df=q.client.train_df,
target_column='target',
model_type=ModelType.H2O3,
_h2o3_max_runtime_secs=q.client.max_runtime_secs,
_h2o3_nfolds=2,
_h2o3_exclude_algos=exclude_algos)
model_id = q.client.wave_model.model.model_id
accuracy = round(
100 - q.client.wave_model.model.mean_per_class_error() * 100, 2)
# show training details and prediction option
q.page['example'].items[1].spinbox.value = q.client.max_runtime_secs
q.page['example'].items[2].toggle.value = q.client.include_dl
q.page['example'].items[3].buttons.items[1].button.disabled = False
q.page['example'].items[4].message_bar.type = 'success'
q.page['example'].items[
4].message_bar.text = 'Training successfully completed!'
q.page['example'].items[
5].text.content = f'''**H2O AutoML model id:** {model_id} <br />
**Accuracy:** {accuracy}%'''
q.page['example'].items[6].text.content = ''
elif q.args.predict:
# predict on test data
preds = q.client.wave_model.predict(test_df=q.client.test_df)
# show predictions
q.page['example'].items[
4].message_bar.text = 'Prediction successfully completed!'
q.page['example'].items[
6].text.content = f'''**Example predictions:** <br />
{preds[0]} <br /> {preds[1]} <br /> {preds[2]}'''
else:
# prepare sample train and test dataframes
data = load_wine(as_frame=True)['frame']
q.client.train_df, q.client.test_df = train_test_split(data,
train_size=0.8)
# display ui
q.page['example'] = ui.form_card(
box='1 1 -1 -1',
items=[
ui.text(content='''The sample dataset used is the
<a href="https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html" target="_blank">wine dataset</a>.'''
),
ui.spinbox(name='max_runtime_secs',
label='Max Runtime (Secs)',
min=5,
max=30,
step=1,
value=10),
ui.toggle(name='include_dl',
label='Include Deep Learning',
value=False),
ui.buttons(items=[
ui.button(name='train', label='Train', primary=True),
ui.button(name='predict',
label='Predict',
primary=True,
disabled=True),
]),
ui.message_bar(type='warning',
text='Training will take a few seconds'),
ui.text(content=''),
ui.text(content='')
])
await q.page.save()
async def render(self, q: Q):
"""
Render card in Wave.
Args:
q: Wave server
"""
card = ui.form_card(box=self.box,
items=[
ui.toggle(name='split_sentences',
label='Split Sentences',
value=self.split_sentences,
trigger=True),
ui.toggle(name='fine_grained',
label='Fine Grained',
value=self.fine_grained,
trigger=True),
ui.toggle(name='add_lemma',
label='Add Lemma',
value=self.add_lemma,
trigger=True),
ui.toggle(name='collapse_punct',
label='Merge Punctuation',
value=self.collapse_punct,
trigger=True),
ui.toggle(name='collapse_phrases',
label='Merge Phrases',
value=self.collapse_phrases,
trigger=True),
ui.toggle(name='compact',
label='Make Compact',
value=self.compact,
trigger=True),
ui.inline(items=[
ui.textbox(name='color',
label='Visualizer Color',
value=self.color,
trigger=True),
ui.textbox(name='bg',
label='Background Color',
value=self.bg,
trigger=True)
]),
ui.inline(items=[
ui.textbox(name='font',
label='Font',
value=self.font,
trigger=True),
ui.textbox(name='offset_x',
label='Offset-X',
value=str(self.offset_x),
trigger=True)
]),
ui.inline(items=[
ui.textbox(name='arrow_stroke',
label='Arrow Stroke',
value=str(self.arrow_stroke),
suffix='px',
trigger=True),
ui.textbox(name='arrow_width',
label='Arrow Width',
value=str(self.arrow_width),
suffix='px',
trigger=True),
ui.textbox(name='arrow_spacing',
label='Arrow Spacing',
value=str(self.arrow_spacing),
suffix='px',
trigger=True)
]),
ui.inline(items=[
ui.textbox(name='word_spacing',
label='Word Spacing',
value=str(self.word_spacing),
suffix='px',
trigger=True),
ui.textbox(name='word_distance',
label='Word Distance',
value=str(self.word_distance),
suffix='px',
trigger=True)
])
],
title=self.title,
commands=self.commands)
q.page[self.name] = card
async def run_app(q: Q):
if q.args.start_game:
if q.args.submit_game:
q.client.game.is_public = True
q.app.games[q.client.game.game_id] = q.client.game
del q.page['leaderboard']
del q.page['hello']
await start_new_game(q)
elif q.args.quit_game:
del q.page['starting_game']
await make_welcome_card(q)
elif q.args.guess:
message = q.client.game.guess(q.args.guess)
if message == 'You Got It!':
q.page['starting_game'].items = [
ui.text_l(
f'ЪЈЁ ЪјЅ Ъјѓ You Got It, The number is **{q.client.game.number}**'
),
ui.text_m(
f'You made **{len(q.client.game.guesses)}** guesses in'),
ui.text_m(f'{q.client.game.game_time()}.'),
ui.toggle(
name='submit_game',
label='Submit your game to Public Scoreboard',
trigger=False,
),
ui.text_xs('Рађ'),
ui.buttons(
items=[
ui.button(
name='leaderboard',
label='View Scores',
primary=True,
),
ui.button(
name='start_game',
label='Play Again',
primary=False,
),
],
justify='center',
),
]
else:
previous_guesses = [str(x) for x in q.client.game.guesses]
if len(previous_guesses) > 16:
previous_guesses = previous_guesses[-16:]
previous_guesses[0] = '...'
guesses_str = ", ".join(previous_guesses)
q.page['starting_game'].items = [
ui.text_l(message),
ui.text_m(guesses_str),
ui.text_xs('Рађ'),
ui.slider(
name='guess',
label='your guess',
min=1,
max=100,
value=q.args.guess,
trigger=True,
),
ui.text_xs('Рађ'),
ui.buttons(
items=[
ui.button(name='quit_game', label='Quit', primary=True)
],
justify='center',
),
]
elif q.args.leaderboard:
if q.args.submit_game:
q.client.game.is_public = True
q.app.games[q.client.game.game_id] = q.client.game
del q.page['starting_game']
await show_leaderboard(q)
elif q.args.private_leaderboard:
await show_private_leaderboard(q)
await q.page.save()
async def serve(q: Q):
if not q.client.initialized:
image = 'https://images.pexels.com/photos/220453/pexels-photo-220453.jpeg?auto=compress&h=750&w=1260'
f = FakeCategoricalSeries()
q.client.primary = '#000000'
q.client.page = '#e2e2e2'
q.client.card = '#ffffff'
q.client.text = '#000000'
q.page['meta'] = ui.meta_card(
box='',
theme='custom',
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone('header'),
ui.zone('content',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone('colors', size='340px'),
ui.zone('preview')
]),
ui.zone('footer')
])
])
q.page['header'] = ui.header_card(box='header',
title='Theme generator',
subtitle='Color your app easily',
icon='Color',
icon_color='$card')
q.page['form'] = ui.form_card(box='colors',
items=[
ui.color_picker(
name='primary',
label='Primary',
trigger=True,
alpha=False,
inline=True,
value=q.client.primary),
ui.color_picker(name='text',
label='Text',
trigger=True,
alpha=False,
inline=True,
value=q.client.text),
ui.color_picker(name='card',
label='Card',
trigger=True,
alpha=False,
inline=True,
value=q.client.card),
ui.color_picker(name='page',
label='Page',
trigger=True,
alpha=False,
inline=True,
value=q.client.page),
ui.text_xl('Check contrast'),
get_contrast('text', 'card', q),
get_contrast('card', 'primary', q),
get_contrast('text', 'page', q),
get_contrast('page', 'primary', q),
ui.text_xl('Copy code'),
ui.frame(content=get_theme_code(q),
height='180px'),
])
q.page['sample'] = ui.form_card(
box='preview',
items=[
ui.text_xl(content='Sample App to show colors'),
ui.progress(label='A progress bar'),
ui.inline([
ui.checkbox(name='checkbox1',
label='A checkbox',
value=True),
ui.checkbox(name='checkbox2', label='Another checkbox'),
ui.checkbox(name='checkbox3',
label='Yet another checkbox'),
ui.toggle(name='toggle', label='Toggle', value=True),
]),
ui.inline([
ui.date_picker(name='date_picker', label='Date picker'),
ui.picker(name='picker',
label='Picker',
choices=[
ui.choice('choice1', label='Choice 1'),
ui.choice('choice2', label='Choice 2'),
ui.choice('choice3', label='Choice 3'),
]),
ui.combobox(name='combobox',
label='Combobox',
choices=['Choice 1', 'Choice 2', 'Choice 3']),
ui.persona(title='John Doe',
subtitle='Data Scientist',
size='s',
image=image),
]),
ui.slider(name='slider', label='Slider', value=70),
ui.link(label='Link'),
ui.inline(justify='between',
items=[
ui.stepper(name='stepper',
width='500px',
items=[
ui.step(label='Step 1',
icon='MailLowImportance'),
ui.step(
label='Step 2',
icon='TaskManagerMirrored'),
ui.step(label='Step 3',
icon='Cafe'),
]),
ui.tabs(name='menu',
value='email',
items=[
ui.tab(name='email',
label='Mail',
icon='Mail'),
ui.tab(name='events',
label='Events',
icon='Calendar'),
ui.tab(name='spam', label='Spam'),
]),
]),
ui.inline(items=[
ui.table(
name='table',
width='50%',
columns=[
ui.table_column(
name='name', label='Name', min_width='80px'),
ui.table_column(name='surname',
label='Surname',
filterable=True),
ui.table_column(name='age',
label='Age',
sortable=True),
ui.table_column(
name='progress',
label='Progress',
cell_type=ui.progress_table_cell_type(
color='$themePrimary')),
],
rows=[
ui.table_row(name='row1',
cells=['John', 'Doe', '25', '0.90']),
ui.table_row(name='row2',
cells=['Ann', 'Doe', '35', '0.75']),
ui.table_row(
name='row3',
cells=['Casey', 'Smith', '40', '0.33']),
],
height='330px',
),
ui.visualization(
width='50%',
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y='=price',
y_min=0)
]),
data=data(fields='product price',
rows=[(c, x) for c, x, _ in
[f.next() for _ in range(20)]],
pack=True),
),
]),
ui.buttons([
ui.button(name='primary_button',
label='Primary',
primary=True),
ui.button(name='standard_button', label='Standard'),
ui.button(name='standard_disabled_button',
label='Disabled',
disabled=True),
ui.button(name='icon_button',
icon='Heart',
caption='Tooltip text'),
]),
])
q.page['footer'] = ui.footer_card(
box='footer', caption='(c) 2021 H2O.ai. All rights reserved.')
q.client.themes = [
ui.theme(name='custom',
text=q.client.text,
card=q.client.card,
page=q.client.page,
primary=q.client.primary)
]
q.client.initialized = True
if q.args.primary:
q.client.themes[0].primary = q.args.primary
q.client.primary = q.args.primary
if q.args.text:
q.client.themes[0].text = q.args.text
q.client.text = q.args.text
if q.args.card:
q.client.themes[0].card = q.args.card
q.client.card = q.args.card
if q.args.page:
q.client.themes[0].page = q.args.page
q.client.page = q.args.page
q.page['meta'].themes = q.client.themes
q.page['form'].items[5] = get_contrast('text', 'card', q)
q.page['form'].items[6] = get_contrast('card', 'primary', q)
q.page['form'].items[7] = get_contrast('text', 'page', q)
q.page['form'].items[8] = get_contrast('page', 'primary', q)
q.page['form'].items[10].frame.content = get_theme_code(q)
await q.page.save()
