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()