def add_stat_card(box, key, value): return ui.large_stat_card(box=box, title=key, value='={{intl value}}', aux_value='', data=dict(value=value), caption=key + " of the selected customer")
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()
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()
from faker import Faker from synth import FakePercent from h2o_wave import site, ui page = site['/demo'] fake = Faker() f = FakePercent() val, pc = f.next() c = page.add( 'example', ui.large_stat_card( box='1 1 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), caption=' '.join(fake.sentences()), )) page.save() while True: time.sleep(1) val, pc = f.next() c.data.qux = val c.data.quux = pc page.save()