def init(q: Q):
q.page.drop()
q.page['meta'] = ui.meta_card(
box='',
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone('title', size='80px'),
ui.zone('menu', size='80px'),
ui.zone('risk_table'),
]),
ui.layout(breakpoint='m',
width='1920px',
zones=[
ui.zone('header',
size='80px',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone('title', size='400px'),
ui.zone('menu'),
]),
ui.zone('risk_table',
direction=ui.ZoneDirection.ROW,
size='800px'),
])
])
render_header(q)
async def serve(q: Q):
if not q.client.initialized:
q.page['meta'] = ui.meta_card(box='')
q.page['example'] = ui.form_card(box='1 1 11 10', items=[
ui.button(name='show_side_panel', label='Order donuts', primary=True)
])
q.client.initialized = True
else:
if q.args.show_side_panel:
q.page['meta'].side_panel = ui.side_panel(title='Welcome to store', items=[
ui.text('Donuts cost $1.99. Proceed?'),
ui.buttons([ui.button(name='next_step', label='Next', primary=True)])
])
elif q.args.next_step:
q.page['meta'].side_panel.items = [
ui.text('You will be charged $1.99. Proceed?'),
ui.buttons([
ui.button(name='cancel', label='Back to safety'),
ui.button(name='submit', label='Place order', primary=True),
])
]
elif q.args.submit:
q.page['example'].items = [ui.message_bar('success', 'Order placed!')]
q.page['meta'].side_panel = None
elif q.args.cancel:
q.page['example'].items = [ui.message_bar('info', 'Order canceled!')]
q.page['meta'].side_panel = None
await q.page.save()
def card_meta() -> ui.MetaCard:
"""
Card for meta information.
"""
card = ui.meta_card(box='', title='RL Marketing')
return card
async def serve(q: Q):
if not q.client.initialized:
q.page['meta'] = ui.meta_card(box='')
q.page['controls'] = ui.form_card(
box='1 1 2 2',
items=[
ui.text_xl('This is normal theme'),
ui.button(name='change',
label='Change to see neon theme',
primary=True)
])
q.client.current_theme = 'light'
q.client.initialized = True
meta = q.page['meta']
controls = q.page['controls']
if q.args.change and q.client.current_theme != 'neon':
meta.theme = 'neon'
q.client.current_theme = 'neon'
controls.items[0].text_xl.content = 'This is Neon theme!'
controls.items[1].button.label = 'Back to normal'
elif q.args.change:
meta.theme = 'light'
q.client.current_theme = 'light'
controls.items[0].text_xl.content = 'This is normal theme'
controls.items[1].button.label = 'Change to see neon theme'
await q.page.save()
async def initialize(q: Q):
# Initialize H2O-3 model and tests data set
churn_predictor.build_model(config.training_data_url, config.default_model)
churn_predictor.set_testing_data_frame(config.testing_data_url)
churn_predictor.predict()
q.app.header_png = await q.site.upload([config.image_path])
q.app.training_file_url = await q.site.upload([config.working_data])
q.page["title"] = ui.header_card(
box=config.boxes["banner"],
title=config.title,
subtitle=config.subtitle,
icon=config.icon,
icon_color=config.color,
)
q.page["nav_bar"] = ui.tab_card(
box=config.boxes["navbar"],
value=f'#{q.args["#"]}',
items=[
ui.tab(name="#profile", label="Customer Profiles"),
ui.tab(name="#tour", label="Application Code"),
],
)
q.page['meta'] = ui.meta_card(box='', title='Telcom Churn Analytics')
q.client.app_initialized = True
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):
q.page['meta'] = ui.meta_card(box='', theme='neon')
if q.page['error_message']:
del q.page['error_message']
if q.args.predict:
await update_dashboard(q)
else:
await show_homepage(q)
def init(q: Q):
q.page['meta'] = ui.meta_card(
box='',
title='Explain Ratings',
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone('header'),
ui.zone('body',
direction=ui.ZoneDirection.ROW,
size='calc(100vh - 70px)',
zones=[
ui.zone('sidebar', size='350px'),
ui.zone('content',
direction=ui.ZoneDirection.ROW)
])
]),
])
q.page['header'] = ui.header_card(box='header',
title='Hotel Reviews',
subtitle='Explains the hotel reviews',
icon='ReviewSolid',
icon_color='#00A8E0')
q.client.review = config.review_column_list[0]
form_filters = []
for column in config.filterable_columns:
choices = [ui.choice(name='empty', label='All')] + [
ui.choice(name=str(column), label=str(column))
for column in config.dataset[column].drop_duplicates()
]
form_filters.append(
ui.dropdown(name=f'filter_{column}',
label=config.column_mapping[column],
trigger=True,
value='empty',
choices=choices))
sidebar_items = [
ui.dropdown(name='review',
label='Review type',
value=q.client.review,
trigger=True,
choices=[
ui.choice(name=column,
label=config.column_mapping[column])
for column in config.dataset[config.review_column_list]
]),
ui.separator('Filters')
] + form_filters
q.page['sidebar'] = ui.form_card(box='sidebar', items=sidebar_items)
q.page['original'] = ui.image_card(box='content',
title='Original',
type='png',
image=plot_word_cloud(
config.dataset[q.client.review], q))
async def initialize(q: Q):
# Initialize H2O-3 model and tests data set
churn_predictor.build_model(config.training_data_url, config.default_model)
churn_predictor.set_testing_data_frame(config.testing_data_url)
churn_predictor.predict()
q.app.header_png = await q.site.upload([config.image_path])
q.app.training_file_url = await q.site.upload([config.working_data])
q.page['meta'] = ui.meta_card(box='', title='Telco Churn Analytics')
q.client.app_initialized = True
async def make_base_ui(q):
q.page['meta'] = ui.meta_card(box='', title='Guess the Number')
q.page['title'] = ui.header_card(
box='1 1 3 1',
title='Guess the Number',
subtitle='',
icon='ChatBot',
icon_color=WaveColors.cyan,
)
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 init_client(q: Q):
q.client.initialized = True
q.page['meta'] = ui.meta_card(
box='',
title='Credit Risk',
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone('header'),
ui.zone('customer_table'),
ui.zone('customer_page',
zones=[
ui.zone('customer_risk_explanation'),
ui.zone('customer_shap_plot'),
ui.zone('button_group'),
ui.zone('customer_features'),
])
]),
ui.layout(breakpoint='m',
zones=[
ui.zone('header'),
ui.zone('customer_table'),
ui.zone(
'customer_page',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone(
'content',
zones=[
ui.zone('customer_risk_explanation'),
ui.zone('customer_shap_plot'),
ui.zone('button_group'),
]),
ui.zone('customer_features', size='300px'),
])
])
])
q.page['header'] = ui.header_card(
box='header',
title='Credit Card Risk',
subtitle='Review customer ability to pay credit card bills',
icon='PaymentCard',
nav=[
ui.nav_group('Navigation',
items=[
ui.nav_item(name='render_customer_selector',
label='Customers'),
]),
ui.nav_group('Options',
items=[
ui.nav_item(name='dark_mode', label='Dark Mode'),
ui.nav_item(name='light_mode',
label='Light Mode'),
])
])
async def serve(q: Q):
if not q.client.initialized:
q.client.initialized = True
await setup_page(q)
search = q.args[q.args['#'] or default_example_name]
if search:
q.page['meta'] = ui.meta_card(box='', redirect=f'#{search}')
await show_example(q, catalog[search or q.args['#']
or default_example_name])
async def setup_page(q: Q):
q.page['meta'] = ui.meta_card(
box='',
title=app_title,
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone('header'),
ui.zone('blurb'),
ui.zone('main',
size='calc(100vh - 140px)',
direction=ui.ZoneDirection.ROW,
zones=[ui.zone('code'),
ui.zone('preview')])
])
])
q.page['header'] = ui.header_card(
box='header',
title=app_title,
subtitle=f'{len(catalog)} Interactive Examples',
image=
'https://www.h2o.ai/wp-content/themes/h2o2018/templates/dist/images/h2o_logo.svg',
items=[
ui.link(label='Wave docs',
path='https://wave.h2o.ai/docs/getting-started',
target='_blank'),
ui.link(label='Discussions',
path='https://github.com/h2oai/wave/discussions',
target='_blank'),
ui.link(label='Blog',
path='https://wave.h2o.ai/blog',
target='_blank'),
ui.link(label='Hybrid Cloud',
path='https://www.h2o.ai/hybrid-cloud/',
target='_blank'),
ui.link(label='H2O', path='https://www.h2o.ai/', target='_blank'),
])
q.page['blurb'] = ui.section_card(box='blurb',
title='',
subtitle='',
items=[])
q.page['code'] = ui.frame_card(box='code', title='', content='')
q.page['preview'] = ui.frame_card(box='preview',
title='Preview',
path=f'{_base_url}demo')
await q.page.save()
async def initialize_app(q: Q):
# Inputs for the app, Should be read from a config file
walmart_train_s3 = "s3://h2o-benchmark/walmart-sales-forecasting/walmart_train.csv"
walmart_predictions_s3 = "s3://h2o-benchmark/walmart-sales-forecasting/walmart_test_preds.csv"
walmart_train = './walmart_train.csv'
walmart_predictions = './walmart_test_preds.csv'
# Setup UI elements on the page
q.page['meta'] = ui.meta_card(box='', title='H2O Wave - Sales Forecasting')
q.page['title'] = ui.header_card(
box='1 1 12 1',
title='Sales Forecasting',
subtitle='Exploring historic demand and forecasts for supply chain optimization',
icon='GiftBox',
icon_color='#ffe600',
)
q.page['loading'] = ui.form_card(
box='4 4 6 1',
items=[ui.progress(label='Downloading sales data from AWS S3 ...', caption='')]
)
await q.page.save()
# Download input data from S3
train = download_file_from_s3(walmart_train_s3, walmart_train, overwrite=False)
if train is None or not os.path.isfile(train):
sys.exit(1)
pred = download_file_from_s3(walmart_predictions_s3, walmart_predictions, overwrite=False)
if pred is None or not os.path.isfile(pred):
sys.exit(1)
q.page['loading'].items[0].progress.label = 'Processing sales data ...'
await q.page.save()
# Create default UserInputs and SalesData
q.app.user_inputs = UserInputs()
q.app.user_inputs.reset()
q.app.sales_data = SalesData(walmart_train, walmart_predictions)
plot_data = q.app.sales_data.get_plot_data(**asdict(q.app.user_inputs))
del q.page['loading']
q.page['sidebar'] = ui.form_card(
box='1 2 3 9',
items=get_user_input_items(q.app.sales_data, q.app.user_inputs)
)
await draw_weekly_sales_plot(q, plot_data)
def capture_credentials(q: Q):
q.page['header'] = ui.header_card(
box=config.boxes['banner'],
title=config.title,
subtitle=config.subtitle,
icon=config.icon,
icon_color=config.color,
)
q.page['twitter_app'] = ui.meta_card(box='')
q.page['twitter_app'].dialog = ui.dialog(title='Twitter Credentials', primary=True, items=[
ui.markup(name="request_access", visible=True, content=config.ask_for_access_text),
ui.textbox(name='consumer_key', label='Consumer Key', required=True, password=True),
ui.textbox(name='consumer_secret', label='Consumer Secret', required=True, password=True),
ui.textbox(name='access_token', label='Access Token', required=True, password=True),
ui.textbox(name='access_token_secret', label='Access Token Secret', required=True, password=True),
ui.buttons([ui.button(name='submit', label='Configure', primary=True, tooltip="")])
])
async def serve(q: Q):
count = q.client.count or 0
if not q.client.initialized:
# Set up a tracker for the page using Google Analytics.
# All browser events/activities are logged against the specified property ID.
q.page['meta'] = ui.meta_card('', tracker=ui.tracker(type=ui.TrackerType.GA, id='G-W810CJL5GP'))
# That's all you need to do - set up a tracker.
# The rest of this example does not do anything special related to tracking.
q.page['example'] = ui.form_card(box='1 1 -1 -1', items=[
ui.button(name='increment', label=f'Count={count}')
])
q.client.initialized = True
else:
if q.args.increment:
q.client.count = count = count + 1
q.page['example'].items[0].button.label = f'Count={count}'
await q.page.save()
async def setup_page(q: Q):
q.page['meta'] = ui.meta_card(
box='',
title=app_title,
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone('header'),
ui.zone('blurb'),
ui.zone('main',
size='calc(100vh - 130px)',
direction=ui.ZoneDirection.ROW,
zones=[ui.zone('code'),
ui.zone('preview')])
])
])
q.page['header'] = ui.header_card(
box='header',
title=app_title,
subtitle=f'{len(catalog)} Interactive Examples',
nav=[
ui.nav_group(label='Examples',
items=[
ui.nav_item(name=f'#{e.name}', label=e.title)
for e in catalog.values()
])
],
)
q.page['blurb'] = ui.section_card(box='blurb',
title='',
subtitle='',
items=[])
q.page['code'] = ui.frame_card(box='code', title='', content='')
q.page['preview'] = ui.frame_card(box='preview',
title='Preview',
path='/demo')
await q.page.save()
async def initialize_app(q: Q):
# Setup UI elements on the page
q.page['meta'] = ui.meta_card(
box='',
title='H2O Wave - Sales Forecasting',
layouts=[
ui.layout(
breakpoint='xs',
zones=[
ui.zone('header'),
# vh means viewport height, 70px accounts for header and spacing between cards.
ui.zone('body',
size='calc(100vh - 70px)',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone('sidebar', size='350px'),
ui.zone('content'),
]),
]),
])
q.page['title'] = ui.header_card(
box='header',
title='Sales Forecasting',
subtitle=
'Exploring historic demand and forecasts for supply chain optimization',
icon='GiftBox',
icon_color='#ffe600',
)
# Create default UserInputs and SalesData
q.app.user_inputs = UserInputs()
q.app.user_inputs.reset()
q.app.sales_data = SalesData(walmart_train, walmart_predictions)
plot_data = q.app.sales_data.get_plot_data(**asdict(q.app.user_inputs))
q.page['sidebar'] = ui.form_card(box='sidebar',
items=get_user_input_items(
q.app.sales_data, q.app.user_inputs))
await draw_weekly_sales_plot(q, plot_data)
async def serve(q: Q):
if not q.client.initialized:
q.page['meta'] = ui.meta_card(
box='',
# Load Sigma.js
scripts=[
ui.script(
path=
'https://cdnjs.cloudflare.com/ajax/libs/sigma.js/1.2.1/sigma.min.js'
)
],
# Call Javascript to render our graph using Sigma.js.
script=ui.inline_script(
content=render_graph,
# Ensure that Sigma.js is available before running our script.
requires=['sigma'],
# Ensure that the 'graph' element is available before running our script.
targets=['graph']))
# Add a placeholder named 'graph' to house our rendered graph.
q.page['vis'] = ui.markup_card(
box='1 1 6 8',
title='Select a node',
content='<div id="graph" style="width: 800px; height: 500px;"/>')
# Add another card to display which node was selected.
q.page['details'] = ui.markdown_card(
box='1 9 6 1',
title='',
content='The selected node will be displayed here.',
)
q.client.initialized = True
else:
if q.events.graph:
selected_node = q.events.graph.node_clicked
if selected_node:
q.page[
'details'].content = f'You clicked on node {selected_node}'
await q.page.save()
async def setup_page(q: Q):
q.page['meta'] = ui.meta_card(
box='',
title=app_title
)
q.page['header'] = ui.header_card(
box='1 1 2 1',
title=app_title,
subtitle=f'{len(catalog)} Interactive Examples',
)
q.page['examples'] = ui.nav_card(
box='1 2 2 -1',
items=[
ui.nav_group(
label='Examples',
items=[ui.nav_item(name=f'#{e.name}', label=e.title) for e in catalog.values()]
),
],
)
q.page['blurb'] = ui.form_card(
box='3 1 5 3',
items=[],
)
q.page['code'] = ui.frame_card(
box='3 4 5 -1',
title='',
content='',
)
q.page['preview'] = ui.frame_card(
box='8 1 5 -1',
title='Preview',
path='/demo',
)
await q.page.save()
async def serve(q: Q):
# Track how many times the button has been clicked.
if q.client.count is None:
q.client.count = 0
if not q.client.initialized:
# Add our script to the page.
q.page['meta'] = ui.meta_card(
box='',
script=ui.inline_script(
# The Javascript code for this script.
content=counter_onclick,
# Execute this script only if the 'counter' element is available.
targets=['counter'],
))
q.page['form'] = ui.form_card(
box='1 1 2 2',
title='Counter',
items=[
# Display our custom button.
ui.markup(content=counter_html),
ui.text(''),
],
)
q.client.initialized = True
else:
# Do we have an event from the counter?
if q.events.counter:
# Is 'clicked' True?
if q.events.counter.clicked:
# Increment the count.
q.client.count += 1
# Display the latest count.
q.page['form'].items[
1].text.content = f'You clicked {q.client.count} times.'
await q.page.save()
async def serve(q: Q):
if not q.client.initialized:
# Create an empty meta_card to hold the dialog
q.page['meta'] = ui.meta_card(box='')
# Display a button to launch dialog dialog
q.page['example'] = ui.form_card(box='1 1 2 1',
items=[
ui.button(name='launch_dialog',
label='Launch dialog',
primary=True)
])
q.client.initialized = True
# Was the launch_dialog button clicked?
if q.args.launch_dialog:
# Create a dialog with a close button
q.page['meta'].dialog = ui.dialog(
title='Hello!',
name='my_dialog',
items=[
ui.text('Click the X button to close this dialog.'),
],
# Enable a close button (displayed at the top-right of the dialog)
closable=True,
# Get notified when the dialog is dismissed.
events=['dismissed'],
)
# Did we get events from the dialog?
if q.events.my_dialog:
# Was the dialog dismissed?
if q.events.my_dialog.dismissed:
# Delete the dialog
q.page['meta'].dialog = None
await q.page.save()
META_CARD = ui.meta_card(
box='',
title='WaCy',
icon='https://raw.githubusercontent.com/thewaverguy/wacy/main/docs/source/_static/logo/logo_light_250_x_250.svg',
layouts=[
ui.layout(
breakpoint='xs',
zones=[
ui.zone(name='header'),
ui.zone(name='main', zones=[
ui.zone(name='input_row', zones=[
ui.zone(name='input_model'),
ui.zone(name='input_text')
]),
ui.zone(name='entity_row', direction='row', zones=[
ui.zone(name='entity_settings', size='30%'),
ui.zone(name='entity_visualizer', size='70%')
]),
ui.zone(name='dependency_row', direction='row', zones=[
ui.zone(name='dependency_settings', size='30%'),
ui.zone(name='dependency_visualizer', size='70%')
]),
ui.zone(name='token_attributes'),
ui.zone(name='similarity_row', direction='row', zones=[
ui.zone(name='similarity_settings', size='30%'),
ui.zone(name='similarity_visualizer', size='70%')
]),
]),
ui.zone(name='footer')
]
)
],
theme='light'
)
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 init(q: Q):
q.page.drop()
q.page['meta'] = ui.meta_card(
box='',
layouts=[
ui.layout(breakpoint='xs',
zones=[
ui.zone('title', size='80px'),
ui.zone('menu', size='80px'),
ui.zone('risk_table_selected', size='400px'),
ui.zone('risk_explanation', size='150px'),
ui.zone('shap_plot', size='600px'),
ui.zone('button_group', size='80px'),
]),
ui.layout(breakpoint='m',
width='1920px',
zones=[
ui.zone('header',
size='80px',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone('title', size='400px'),
ui.zone('menu'),
ui.zone('button_group', size='200px'),
]),
ui.zone('body',
size='900px',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone('risk_table_selected',
size='400px'),
ui.zone(
'pane',
direction=ui.ZoneDirection.COLUMN,
zones=[
ui.zone('risk_explanation',
size='150px'),
ui.zone('shap_plot'),
])
]),
]),
ui.layout(breakpoint='xl',
width='1920px',
zones=[
ui.zone('header',
size='80px',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone('title', size='400px'),
ui.zone('menu'),
ui.zone('button_group', size='200px'),
]),
ui.zone('body',
size='1200px',
direction=ui.ZoneDirection.ROW,
zones=[
ui.zone('risk_table_selected',
size='400px'),
ui.zone(
'pane',
direction=ui.ZoneDirection.COLUMN,
zones=[
ui.zone('risk_explanation',
size='150px'),
ui.zone('shap_plot'),
])
]),
])
])
render_header(q)
# Meta / Redirect
# #Redirect the page to a new URL or hash. #meta
# ---
import time
from h2o_wave import site, ui
page = site['/demo']
page['meta'] = ui.meta_card(box='')
page['example'] = ui.markdown_card(
box='1 1 2 2',
title='Redirect a page',
content=
'This page should redirect to Wikipedia in a few seconds. Wait for it...',
)
page.save()
time.sleep(3)
# Redirect to a hash.
page['meta'].redirect = '#widgets'
page.save()
time.sleep(3)
# Redirect to a URL.
page['meta'].redirect = 'https://www.wikipedia.org'
page.save()
page['meta'] = ui.meta_card(box='', layouts=[
ui.layout(
# If the viewport width >= 0:
breakpoint='xs',
zones=[
# 80px high header
ui.zone('header', size='80px'),
# Use remaining space for content
ui.zone('content')
]
),
ui.layout(
# If the viewport width >= 768:
breakpoint='m',
zones=[
# 80px high header
ui.zone('header', size='80px'),
# Use remaining space for body
ui.zone('body', direction=ui.ZoneDirection.ROW, zones=[
# 250px wide sidebar
ui.zone('sidebar', size='250px'),
# Use remaining space for content
ui.zone('content'),
]),
ui.zone('footer', size='0'),
]
),
ui.layout(
# If the viewport width >= 1200:
breakpoint='xl',
width='1200px',
zones=[
# 80px high header
ui.zone('header', size='80px'),
# Use remaining space for body
ui.zone('body', direction=ui.ZoneDirection.ROW, zones=[
# 300px wide sidebar
ui.zone('sidebar', size='300px'),
# Use remaining space for other widgets
ui.zone('other', zones=[
# Use one half for charts
ui.zone('charts', direction=ui.ZoneDirection.ROW),
# Use other half for content
ui.zone('content'),
]),
]),
ui.zone('footer', size='0'),
]
)
])
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()
