def __init__(self,
thread_num,
cards_manager,
buffer_rows=15,
expected_value=None,
max_boxes_in_line=10,
width=2,
height=1):
super(ThreadSeriesCard, self).__init__(thread_num, max_boxes_in_line,
width, height, cards_manager)
self.expected_value = expected_value
self.card = cards_manager.page.add(
f'thread_{thread_num}_series',
ui.wide_series_stat_card(box=self.gen_box(),
title=f'Thread #{thread_num}',
value='={{iter_sec}}',
aux_value='',
data=dict(iter_sec=0.0),
plot_data=data('tick usage',
-buffer_rows),
plot_category='tick',
plot_value='usage',
plot_zero_value=0,
plot_color='$green',
plot_curve='smooth'))
self.card.data.iter_sec = "No data"
def __init__(self,
cards_manager: CardsManager,
buffer_rows=15,
expected_value=None,
update_period=3):
super(GeneralCard, self).__init__(width=2, height=1)
self.last_update = time.time()
self.general_stats = 0.0
self.update_period = update_period
self.expected_value = expected_value
self.cards_manager = cards_manager
self.card = cards_manager.page.add(
f'general_stats',
ui.wide_series_stat_card(box=self.gen_box(),
title=f'General',
value='={{iter_sec}}',
aux_value='',
data=dict(iter_sec=0.0),
plot_data=data('tick usage',
-buffer_rows),
plot_category='tick',
plot_value='usage',
plot_zero_value=0,
plot_color='$green',
plot_curve='smooth'))
self.card.data.iter_sec = "No data"
def __init__(self,
thread_num,
max_value,
cards_manager: CardsManager,
buffer_rows=15,
expected_value=None,
max_boxes_in_line=10):
super(ThreadPairCard,
self).__init__(thread_num,
width=2,
height=3,
max_boxes_in_line=max_boxes_in_line,
cards_manager=cards_manager)
self.max_value = max_value
self.expected_value = expected_value
box_1 = self.gen_box()
box_1_list = [int(i) for i in box_1.split()]
box_2 = f'{box_1_list[0]} {box_1_list[1] + 1} {box_1_list[2]} {box_1_list[3]}'
self.series_card = self.cards_manager.page.add(
f'thread_{thread_num}_series_paired',
ui.wide_series_stat_card(box=box_1,
title=f'Thread #{thread_num}',
value='={{iter_sec}}',
aux_value='',
data=dict(iter_sec=0.0),
plot_data=data('tick usage',
-buffer_rows),
plot_category='tick',
plot_value='usage',
plot_zero_value=0,
plot_color='$green',
plot_curve='smooth'))
self.series_card.data.iter_sec = "No data"
self.bar_card = self.cards_manager.page.add(
f'thread_{thread_num}_bar_paired',
ui.wide_bar_stat_card(
box=box_2,
title=f'Thread #{thread_num}',
value='={{value}}',
aux_value='={{pc}}%',
plot_color='$green',
progress=0,
data={
'value': 0,
'pc': 0
},
))
async def show_orange_dashboard(q: Q):
q.page['meta'] = ui.meta_card(
box='',
layouts=[
ui.layout(breakpoint='xl',
width='1200px',
zones=[
ui.zone('header'),
ui.zone('control'),
ui.zone('top',
direction=ui.ZoneDirection.ROW,
size='385px',
zones=[
ui.zone('top_left',
direction=ui.ZoneDirection.ROW,
size='66%'),
ui.zone('top_right'),
]),
ui.zone('middle',
direction=ui.ZoneDirection.ROW,
size='400px'),
ui.zone('bottom',
direction=ui.ZoneDirection.ROW,
size='200px'),
ui.zone('footer'),
])
])
q.page['header'] = ui.header_card(box='header',
title='H2O Wave Demo',
subtitle='Orange Dashboard',
nav=global_nav)
q.page['section'] = ui.section_card(
box='control',
title=next(sample_title),
subtitle=next(sample_caption),
items=[
ui.checkbox(name='search', label=next(sample_title), 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.dropdown(name='source',
label='',
value='option0',
choices=[
ui.choice(name=f'option{i}',
label=next(sample_term))
for i in range(5)
]),
ui.dropdown(name='range',
label='',
value='option0',
choices=[
ui.choice(name=f'option{i}',
label=next(sample_term))
for i in range(5)
]),
],
)
user_days = generate_time_series(30)
user_counts = generate_random_walk()
q.page['unique_impressions'] = ui.tall_series_stat_card(
box='top_left',
title=next(sample_title),
value=next(sample_amount),
aux_value=next(sample_percent),
plot_type='interval',
plot_color='$orange',
plot_category='date',
plot_value='users',
plot_zero_value=0,
plot_data=data(
fields=['date', 'users'],
rows=[(next(user_days), next(user_counts)) for i in range(60)],
pack=True,
),
)
q.page['unique_clicks'] = ui.tall_series_stat_card(
box='top_left',
title=next(sample_title),
value=next(sample_dollars),
aux_value=next(sample_title),
plot_type='interval',
plot_color='$amber',
plot_category='date',
plot_value='users',
plot_zero_value=0,
plot_data=data(
fields=['date', 'users'],
rows=[(next(user_days), next(user_counts)) for i in range(60)],
pack=True,
),
)
q.page['popularity'] = ui.wide_series_stat_card(
box='top_right',
title=next(sample_term),
value=next(sample_percent),
aux_value=next(sample_amount),
plot_type='area',
plot_color='$tangerine',
plot_category='date',
plot_value='users',
plot_zero_value=0,
plot_data=data(
fields=['date', 'users'],
rows=[(next(user_days), next(user_counts)) for i in range(60)],
pack=True,
),
)
q.page['search_traffic'] = ui.wide_series_stat_card(
box='top_right',
title=next(sample_term),
value=next(sample_percent),
aux_value=next(sample_dollars),
plot_type='interval',
plot_color='$tangerine',
plot_category='date',
plot_value='users',
plot_zero_value=0,
plot_data=data(
fields=['date', 'users'],
rows=[(next(user_days), next(user_counts)) for i in range(60)],
pack=True,
),
)
q.page['social_media_traffic'] = ui.wide_series_stat_card(
box='top_right',
title=next(sample_title),
value='68K',
aux_value='Down 6%',
plot_type='area',
plot_color='$tangerine',
plot_category='date',
plot_value='users',
plot_zero_value=0,
plot_data=data(
fields=['date', 'users'],
rows=[(next(user_days), next(user_counts)) for i in range(60)],
pack=True,
),
)
audience_days1 = generate_time_series(60)
audience_days2 = generate_time_series(60)
audience_hits1 = generate_random_walk(10000, 20000, 0.2)
audience_hits2 = generate_random_walk(8000, 15000)
q.page['stats'] = ui.form_card(
box='middle',
title=next(sample_title),
items=[
ui.stats(items=[
ui.stat(label=next(sample_term), value=next(sample_dollars)),
ui.stat(label=next(sample_term), value=next(sample_percent)),
ui.stat(label=next(sample_term), value=next(sample_amount)),
ui.stat(label=next(sample_term), value=next(sample_dollars)),
ui.stat(label=next(sample_term), value=next(sample_percent)),
ui.stat(label=next(sample_term), value=next(sample_amount)),
ui.stat(label=next(sample_term), value=next(sample_dollars)),
ui.stat(label=next(sample_term), value=next(sample_percent)),
],
justify=ui.StatsJustify.BETWEEN,
inset=True),
ui.visualization(
plot=ui.plot([
ui.mark(type='area',
x_scale='time',
x='=date',
y='=visitors',
color='=site',
color_range='$orange $amber',
curve=ui.MarkCurve.SMOOTH),
ui.mark(type='line',
x_scale='time',
x='=date',
y='=visitors',
color='=site',
color_range='$orange $amber',
curve=ui.MarkCurve.SMOOTH),
]),
data=data(
fields=['site', 'date', 'visitors'],
rows=[
('Online', next(audience_days1), next(audience_hits1))
for i in range(60)
] +
[('In-store', next(audience_days2), next(audience_hits2))
for i in range(60)],
pack=True),
height='240px',
)
],
)
q.page['click_through'] = ui.large_stat_card(
box='bottom',
title=next(sample_title),
value=next(sample_amount),
aux_value=next(sample_dollars),
caption=' '.join([next(sample_caption) for i in range(3)]),
)
q.page['view_through'] = ui.large_stat_card(
box='bottom',
title=next(sample_title),
value=next(sample_amount),
aux_value=next(sample_dollars),
caption=' '.join([next(sample_caption) for i in range(3)]),
)
q.page['total_conversions'] = ui.large_stat_card(
box='bottom',
title=next(sample_title),
value=next(sample_amount),
aux_value=next(sample_dollars),
caption=' '.join([next(sample_caption) for i in range(3)]),
)
q.page['footer'] = ui.footer_card(
box='footer', caption='(c) 2021 H2O.ai. All rights reserved.')
await q.page.save()
async def show_grey_dashboard(q: Q):
q.page['meta'] = ui.meta_card(box='', layouts=[
ui.layout(
breakpoint='xl',
min_width='800px',
zones=[
ui.zone('header', size='0'),
ui.zone('body', size='1000px', zones=[
ui.zone('title', size='0'),
ui.zone('top', direction=ui.ZoneDirection.ROW, size='25%'),
ui.zone('middle', direction=ui.ZoneDirection.ROW, size='25%'),
ui.zone('middle2', direction=ui.ZoneDirection.ROW, size='25%'),
ui.zone('bottom', direction=ui.ZoneDirection.ROW, size='20%'),
]),
ui.zone('footer', size='0'),
]
)
])
q.page['header'] = ui.header_card(box='header', title='H2O Wave Demo', subtitle='Grey Dashboard',
nav=global_nav)
q.page['section'] = ui.section_card(
box='title',
title=next(sample_title),
subtitle=next(sample_caption),
items=[
ui.label(label='Start:'),
ui.date_picker(name='target_date', label='', value='2020-12-20'),
ui.label(label='End:'),
ui.date_picker(name='target_date', label='', value='2020-12-25'),
],
)
stock_dates = generate_time_series(10000)
stock_prices = generate_random_walk()
q.page['small'] = ui.small_stat_card(
box=ui.box('top', order=1),
title=next(sample_term),
value=next(sample_dollars),
)
q.page['small_series'] = ui.small_series_stat_card(
box=ui.box('top', order=2),
title=next(sample_term),
value=next(sample_dollars),
plot_category='date',
plot_value='price',
plot_data=data(
fields=['date', 'price'],
rows=[(next(stock_dates), next(stock_prices)) for i in range(30)],
pack=True,
),
)
q.page['small_series_interval'] = ui.small_series_stat_card(
box=ui.box('top', order=3),
title=next(sample_term),
value=next(sample_dollars),
plot_category='date',
plot_value='price',
plot_type=ui.SmallSeriesStatCardPlotType.INTERVAL,
plot_data=data(
fields=['date', 'price'],
rows=[(next(stock_dates), next(stock_prices)) for i in range(30)],
pack=True,
),
)
q.page['wide_series'] = ui.wide_series_stat_card(
box=ui.box('middle', order=1),
title=next(sample_term),
value=next(sample_dollars),
aux_value=next(sample_percent),
plot_category='date',
plot_value='price',
plot_data=data(
fields=['date', 'price'],
rows=[(next(stock_dates), next(stock_prices)) for i in range(30)],
pack=True,
),
)
q.page['wide_bar'] = ui.wide_bar_stat_card(
box=ui.box('middle', order=2),
title=next(sample_term),
value=next(sample_dollars),
aux_value=next(sample_percent),
progress=random.random(),
)
q.page['wide_gauge'] = ui.wide_gauge_stat_card(
box=ui.box('middle', order=3),
title=next(sample_term),
value=next(sample_dollars),
aux_value=next(sample_percent),
progress=random.random(),
)
q.page['tall_series'] = ui.tall_series_stat_card(
box=ui.box('middle2', order=1),
title=next(sample_term),
value=next(sample_dollars),
aux_value=next(sample_percent),
plot_category='date',
plot_value='price',
plot_data=data(
fields=['date', 'price'],
rows=[(next(stock_dates), next(stock_prices)) for i in range(30)],
pack=True,
),
)
q.page['tall_gauge'] = ui.tall_gauge_stat_card(
box=ui.box('middle2', order=2),
title=next(sample_term),
value=next(sample_dollars),
aux_value=next(sample_percent),
progress=random.random(),
)
q.page['large'] = ui.large_stat_card(
box=ui.box('bottom', order=1),
title=next(sample_term),
value=next(sample_dollars),
aux_value=next(sample_percent),
caption=next(sample_caption),
)
q.page['large_bar'] = ui.large_bar_stat_card(
box=ui.box('bottom', order=2),
title=next(sample_term),
value=next(sample_dollars),
value_caption=next(sample_term),
aux_value=next(sample_dollars),
aux_value_caption=next(sample_term),
progress=random.random(),
caption=next(sample_caption),
)
q.page['footer'] = ui.footer_card(box='footer', caption='(c) 2021 H2O.ai. All rights reserved.')
await q.page.save()
page = site['/demo']
fake = Faker()
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
'example',
ui.wide_series_stat_card(
box='1 1 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc / 100),
plot_category='foo',
plot_type='interval',
plot_value='qux',
plot_color='$red',
plot_data=data('foo qux', -15),
plot_zero_value=0,
))
page.save()
while True:
time.sleep(1)
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
def create_dashboard(update_freq=0.0):
page = site['/demo']
simples = []
for i in range(1, 7):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'a{i}',
ui.small_stat_card(
box=f'{i} 1 1 1',
title=fake.cryptocurrency_name(),
value=f'${val:.2f}',
))
simples.append((f, c))
simples_colored = []
for i in range(1, 7):
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'aa{i}',
ui.small_series_stat_card(
box=f'{6 + i} 1 1 1',
title=fake.cryptocurrency_code(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
data=dict(qux=val, quux=pc / 100),
plot_category='foo',
plot_value='qux',
plot_color=next_color(),
plot_data=data('foo qux', -15),
plot_zero_value=0,
plot_curve=next_curve(),
))
simples_colored.append((f, c))
lines = []
for i in range(1, 13, 2):
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'b{i}',
ui.wide_series_stat_card(
box=f'{i} 2 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc / 100),
plot_category='foo',
plot_value='qux',
plot_color=next_color(),
plot_data=data('foo qux', -15),
plot_zero_value=0,
plot_curve=next_curve(),
))
lines.append((f, c))
bars = []
for i in range(1, 13, 2):
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'c{i}',
ui.wide_series_stat_card(
box=f'{i} 3 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc),
plot_type='interval',
plot_category='foo',
plot_value='qux',
plot_color=next_color(),
plot_data=data('foo qux', -25),
plot_zero_value=0))
bars.append((f, c))
large_pcs = []
for i in range(1, 13):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'd{i}',
ui.tall_gauge_stat_card(
box=f'{i} 4 1 2',
title=fake.cryptocurrency_name(),
value=
'=${{intl foo minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl bar style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
plot_color=next_color(),
progress=pc,
data=dict(foo=val, bar=pc / 100),
))
large_pcs.append((f, c))
large_lines = []
for i in range(1, 13):
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'e{i}',
ui.tall_series_stat_card(
box=f'{i} 6 1 2',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc),
plot_type='area',
plot_category='foo',
plot_value='qux',
plot_color=next_color(),
plot_data=data('foo qux', -15),
plot_zero_value=0,
plot_curve=next_curve(),
))
large_lines.append((f, c))
small_pcs = []
for i in range(1, 7, 2):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'f{i}',
ui.wide_gauge_stat_card(
box=f'{i} 8 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl foo minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl bar style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
plot_color=next_color(),
progress=pc,
data=dict(foo=val, bar=pc / 100),
))
small_pcs.append((f, c))
small_pbs = []
for i in range(7, 13, 2):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'f{i}',
ui.wide_bar_stat_card(
box=f'{i} 8 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl foo minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl bar style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
plot_color=next_color(),
progress=pc,
data=dict(foo=val, bar=pc / 100),
))
small_pbs.append((f, c))
large_cards = []
for i in range(1, 7, 2):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'g{i}',
ui.large_stat_card(
box=f'{i} 9 2 2',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc / 100),
caption=' '.join(fake.sentences()),
))
large_cards.append((f, c))
large_pbs = []
for i in range(7, 13, 2):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'g{i}',
ui.large_bar_stat_card(
box=f'{i} 9 2 2',
title=fake.cryptocurrency_name(),
value=
'=${{intl foo minimum_fraction_digits=2 maximum_fraction_digits=2}}',
value_caption='This Month',
aux_value=
'={{intl bar style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value_caption='Previous Month',
plot_color=next_color(),
progress=pc,
data=dict(foo=val, bar=pc / 100),
caption=' '.join(fake.sentences(2)),
))
large_pbs.append((f, c))
page.save()
while update_freq > 0:
time.sleep(update_freq)
for f, c in simples:
val, pc = f.next()
c.value = f'${val:.2f}',
for f, c in simples_colored:
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
for f, c in lines:
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
for f, c in bars:
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
for f, c in large_lines:
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
for f, c in large_pcs:
val, pc = f.next()
c.data.foo = val
c.data.bar = pc
c.progress = pc
for f, c in small_pcs:
val, pc = f.next()
c.data.foo = val
c.data.bar = pc
c.progress = pc
for f, c in small_pbs:
val, pc = f.next()
c.data.foo = val
c.data.bar = pc
c.progress = pc
for f, c in large_cards:
val, pc = f.next()
c.data.qux = val
c.data.quux = pc
for f, c in large_pbs:
val, pc = f.next()
c.data.foo = val
c.data.bar = pc
c.progress = pc
page.save()
