def layout(self):
return html.Div([
dbc.Row([
make_hideable(
dbc.Col([
html.H2('Model Performance:')]), hide=self.hide_title),
]),
dbc.Row([
make_hideable(
dbc.Col([
self.cutoffpercentile.layout(),
]), hide=self.hide_globalcutoff),
], style=dict(marginTop=25, marginBottom=25)),
dbc.CardDeck([
make_hideable(self.summary.layout(), hide=self.hide_modelsummary),
make_hideable(self.confusionmatrix.layout(), hide=self.hide_confusionmatrix),
], style=dict(marginBottom=25)),
dbc.CardDeck([
make_hideable(self.precision.layout(), hide=self.hide_precision),
make_hideable(self.classification.layout(), hide=self.hide_classification)
], style=dict(marginBottom=25)),
dbc.CardDeck([
make_hideable(self.rocauc.layout(), hide=self.hide_rocauc),
make_hideable(self.prauc.layout(), hide=self.hide_prauc),
], style=dict(marginBottom=25)),
dbc.CardDeck([
make_hideable(self.liftcurve.layout(), self.hide_liftcurve),
make_hideable(self.cumulative_precision.layout(), self.hide_cumprecision),
], style=dict(marginBottom=25)),
])
def layout(self):
return dbc.Container([
dbc.Row([
make_hideable(
dbc.Col([
html.H1(self.title)
]), hide=self.hide_title),
]),
dbc.Row([
make_hideable(
dbc.Col([
self.index.layout(),
], md=7), hide=self.hide_whatifindexselector),
make_hideable(
dbc.Col([
self.prediction.layout(),
], md=5), hide=self.hide_whatifprediction),
], style=dict(marginBottom=15, marginTop=15)),
dbc.CardDeck([
make_hideable(self.input.layout(), hide=self.hide_inputeditor),
], style=dict(marginBottom=15, marginTop=15)),
dbc.CardDeck([
make_hideable(self.contribgraph.layout(), hide=self.hide_whatifcontributiongraph),
make_hideable(self.pdp.layout(), hide=self.hide_whatifpdp),
], style=dict(marginBottom=15, marginTop=15)),
dbc.Row([
make_hideable(
dbc.Col([
self.contribtable.layout()
], md=6), hide=self.hide_whatifcontributiontable),
dbc.Col([], md=6),
])
], fluid=True)
def update(selected):
if selected:
# selected is an object that looks like {'points': [{'location': ...}]}
location = selected["points"][0]["location"]
onestate = (df_usa.groupby("Province_State").sum()[
df_usa.columns[11:]].loc[location])
fig = px.line(
x=pd.to_datetime(onestate.index),
y=onestate,
color_discrete_sequence=["#23C6EF"],
)
fig.update_layout(
title={
"text": f"{location} Cases",
"font_size": 20,
"y": 0.9,
"x": 0.5,
"xanchor": "center",
"yanchor": "top",
})
fig.update_layout(DEFAULT_PLOT_LAYOUT)
fig.update_xaxes(title_text="Date")
fig.update_yaxes(title_text="Frequency")
fig.update_xaxes(tickangle=315)
news_cards = generate_cards(location.replace(" ", "+"))
my_card_deck = [
dbc.CardDeck(news_cards[:5]),
dbc.CardDeck(news_cards[5:10])
]
return fig, my_card_deck
else:
all_states = df_usa.sum()[df_usa.columns[11:]]
fig = px.line(
x=pd.to_datetime(all_states.index),
y=all_states,
color_discrete_sequence=["#23C6EF"],
)
fig.update_layout(
title={
"text": "United States Cases",
"font_size": 20,
"y": 0.9,
"x": 0.5,
"xanchor": "center",
"yanchor": "top",
})
fig.update_layout(DEFAULT_PLOT_LAYOUT)
fig.update_xaxes(title_text="Date")
fig.update_yaxes(title_text="Frequency")
fig.update_xaxes(tickangle=315)
news_cards = generate_cards()
my_card_deck = [
dbc.CardDeck(news_cards[:5]),
dbc.CardDeck(news_cards[5:10])
]
return fig, my_card_deck
def serve_layout():
uimgs = db.session.query(User_Image).all()
return dbc.Container([
html.H1("View Uploaded Images"),
html.Div(id=f'{APP_ID}_view_div',
children=[
dbc.CardDeck([
dbc.Card([
dbc.CardImg(src=f"data:image/jpg;base64, {b64encode(uimg.thumb).decode('utf-8')}", top=True, style={"width": "18rem"}),
dbc.CardBody([
html.H4(uimg.name),
html.P(uimg.creator),
dbc.Button('Enlarge', id=f'{APP_ID}_card_button_uimg{uimg.id}', color='primary')
]),
dbc.CardFooter(
dbc.CardLink('Web Link', href=f'{uimg.img_web_url}',
external_link=True, target="_blank")
)
],
style={"max-width": "18rem"},
) for uimg in uimgs
],
)
]
),
# todo add modal display
])
def render():
element = html.Div([
html.P(
"Fill up your data and the machine will try to choose the best major for you!",
id="output-welcome",
),
dbc.Alert(
id="output-error",
color="danger",
className="d-none",
),
html.Div(
dbc.CardDeck(
[
FirstHeader.render(),
SecondHeader.render(),
ThirdHeader.render()
],
className="mt-3",
),
id="output-deck",
className="d-none",
),
],
id="output-container")
return element
def render_indicators(df):
rdays = df['mobility_limitation'].dropna().cumsum().iloc[-1]
icu_cap = ((df['available_icu_units'] / df['total_icu_units']) < 0.1).sum()
dead = df['dead'].dropna().iloc[-1]
deck = []
deck.append(
dbc.Card(
dbc.CardBody([
html.H6(_('Restriction Day Index')),
html.P('%d' % rdays, className="display-4 text-primary mb-1"),
html.Small(
_('''The cumulative sum of daily percentages of mobility restrictions. The index can be used as a rough indicator of harmful psychological, social and economic effects. A higher index means more severe effects.'''
)),
])))
deck.append(
dbc.Card(
dbc.CardBody([
html.H6(_('Days ICU Capacity Exceeded')),
html.P('%d' % icu_cap,
className="display-4 text-primary mb-1"),
html.Small(
str(
_("Number of days that ICU units had less than 10%% of capacity left."
)).replace('%%', '%')),
])))
deck.append(
dbc.Card(
dbc.CardBody([
html.H6(_('Fatalities')),
html.P('%d' % dead, className="display-4 text-primary mb-1"),
html.Small(
_("Total number of deaths at the end of simulation.")),
])))
return dbc.CardDeck(deck, className='mb-4')
def cardDeck():
cards = dbc.CardDeck(
[
dbc.Card(
dbc.CardBody(
[
html.H5("Avg Paid", className="card-title"),
html.P(
id = 'avg-rating'
,className="card-text"
)
]
)
),
dbc.Card(
dbc.CardBody(
[
html.H5("Records", className="card-title"),
html.P(id ='records'
,className="card-text"
)
]
)
),
]
)
return cards
def layout(self):
return dbc.Container([
dbc.CardDeck([
make_hideable(self.interaction_summary.layout(), hide=self.hide_interactionsummary),
make_hideable(self.interaction_dependence.layout(), hide=self.hide_interactiondependence),
], style=dict(marginTop=25))
], fluid=True)
def build_info_cards():
"""Build the top row of the layout with info cards.
Returns
-------
cards : dash_bootstrap_components.CardDeck
CardDeck with info cards. CardDeck takes care that all
cards are the same height and width.
"""
cards = dbc.CardDeck(children=[
info_card(ident="info-box-bestseller",
icon="fa fa-heart",
title="Bestseller des Monats",
value="",
color="#802020",
fontsize="300%"),
info_card(ident="info-box-royal",
icon="fa fa-crown",
title="Getränkekönig*in",
value="",
color="#a07000",
fontsize="300%"),
info_card(ident="info-box-revenue",
icon="fa fa-money-bill-wave",
title="",
value="",
color="#216b27",
fontsize="300%"),
])
return cards
def make_details():
mcards = []
latest = mongoClient.get_latest_sensor_value("bme1_humidity")
mcards.append((dbc.CardImg(src = "assets/humidity_in.png", style = {"width": "50px"}), dbc.CardBody(f"{latest} %")))
latest = mongoClient.get_latest_sensor_value("428F_94_hum")
mcards.append((dbc.CardImg(src = "assets/humidity_out.png", style = {"width": "50px"}), dbc.CardBody(f"{latest} %")))
latest = mongoClient.get_latest_sensor_value("bme1_pressure")
values = get_and_merge_data("bme1_pressure", 24)
values = values.asof(to_utc() - datetime.timedelta(hours = 6))["val"]
updown = "stable" if np.abs(latest - values) < 1 else ("up" if (latest - values > 0) else "down")
mcards.append((dbc.CardImg(src = f"assets/barometer_in_{updown}.png", style = {"width": "50px"}), dbc.CardBody(html.P(f"{latest} mm Hg"))))
obs = owm.get_latest_info()["obs"]
feels = obs.temperature("celsius")["feels_like"]
mcards.append((dbc.CardImg(src = "assets/feel.png", style = {"width": "50px"}), dbc.CardBody(f"{feels}\u00B0C")))
wind = obs.wind()["speed"]
mcards.append((dbc.CardImg(src = "assets/wind.png", style = {"width": "50px"}), dbc.CardBody(f"{wind} km/h")))
rain = obs.rain
if len(rain) == 0:
rain = "N/A"
else:
rain = f"{rain['1h']} mm"
mcards.append((dbc.CardImg(src = "assets/rain_level.png", style = {"width": "50px"}), dbc.CardBody(f"{rain}")))
return dbc.Row(dbc.CardDeck([dbc.Col(c, width = 5) for c in mcards], className = "weather"))
def layout(self):
return dbc.Container([
dbc.CardDeck([
make_hideable(self.shap_summary.layout(), hide=self.hide_shapsummary),
make_hideable(self.shap_dependence.layout(), hide=self.hide_shapdependence),
], style=dict(marginTop=25)),
], fluid=True)
def layout(self):
return html.Div([
dbc.Row([
make_hideable(
dbc.Col([
html.H2('Model Performance:')]), hide=self.hide_title)
]),
dbc.CardDeck([
make_hideable(self.modelsummary.layout(), hide=self.hide_modelsummary),
make_hideable(self.preds_vs_actual.layout(), hide=self.hide_predsvsactual),
], style=dict(margin=25)),
dbc.CardDeck([
make_hideable(self.residuals.layout(), hide=self.hide_residuals),
make_hideable(self.reg_vs_col.layout(), hide=self.hide_regvscol),
], style=dict(margin=25))
])
def layout(params):
# This function must return a layout for the homepage
return dbc.Container(
[
html.Div(
[
html.H5('Choose a page to view'),
],
className='px-3 py-3 pt-md-5 pb-md-4 mx-auto text-center'
),
dbc.CardDeck(
[
dbc.Card(
[
dbc.CardHeader(page.get('name', '')),
dbc.CardBody(
[
html.P(page.get('description', '')),
html.A('View', href=page.get('path', '/'), className='btn btn-block btn-outline-primary')
],
className='d-flex flex-column'
)
],
className='mb-3 mx-auto'
)
for page in config.get('pages', [])
],
className='homepage mb-3'
)
],
)
def layout(self):
return dbc.Container([
dbc.Row([
dbc.Col([
html.H1(self.title, id='simple-regression-composite-title'),
])
]),
dbc.Row([
dbc.Col([
html.H2("Model performance"),
dbc.CardDeck([
make_hideable(self.goodness_of_fit.layout(),
hide=self.hide_goodness_of_fit),
make_hideable(self.regression_custom_component.layout(),
hide=self.hide_regression_custom_component),
], style=dict(marginTop=25, marginBottom=25)),
])
]),
dbc.Row([
dbc.Col([
html.H3("SHAP values"),
dbc.CardDeck([
make_hideable(self.shap_summary.layout(),
hide=self.hide_shapsummary),
make_hideable(self.shap_dependence.layout(),
hide=self.hide_shapdependence),
], style=dict(marginTop=25, marginBottom=25)),
])
]),
dbc.Row([
dbc.Col([
html.H2("Individual predictions"),
dbc.CardDeck([
make_hideable(self.index.layout(),
hide=self.hide_predindexselector),
make_hideable(self.summary.layout(),
hide=self.hide_predictionsummary),
], style=dict(marginBottom=25, marginTop=25)),
dbc.CardDeck([
make_hideable(self.contributions.layout(),
hide=self.hide_contributiongraph),
], style=dict(marginBottom=25, marginTop=25))
])
])
])
def get_layout():
""" Creates the dash layout """
navbar_right = dbc.Row(
[
dbc.DropdownMenu(
label="Pages",
children=[
dbc.DropdownMenuItem(
x[1:], href=x, id="section_{}".format(x[1:]))
for x in c.dash.LINKS_ALL
],
direction="left",
className="mr-1",
),
dbc.Button("Filters",
id="filters-button",
className="mr-1",
color="danger"),
],
no_gutters=True,
className="ml-auto",
align="center",
)
navbar = dbc.Navbar(
[
dbc.Row(
[
dbc.Col(html.Img(src="assets/logo.png", height="30px")),
dbc.Col(dbc.NavbarBrand("Expensor", className="ml-2")),
],
align="center",
no_gutters=True,
),
navbar_right,
],
sticky="top",
className="w3-light-grey w3-card",
)
filters = dbc.Collapse(dbc.CardDeck(id="filters"),
id="filters-container",
style=padding(2 * DEFAULT_PADDING))
content = [
# Body
html.Div(id="body", style=padding()),
# Others
html.Div(id="sync_count", style={"display": "none"}),
dcc.Location(id="url", refresh=False),
# Hidden div with data
html.Div(df_to_b64(DF), id="global_df", style=c.styles.STYLE_HIDDEN),
]
return html.Div([navbar, filters] + content)
def layout(self):
return dbc.Container([
dbc.CardDeck([
make_hideable(self.index.layout(), hide=self.hide_predindexselector),
make_hideable(self.summary.layout(), hide=self.hide_predictionsummary),
], style=dict(marginBottom=25, marginTop=25)),
dbc.CardDeck([
make_hideable(self.contributions.layout(), hide=self.hide_contributiongraph),
make_hideable(self.pdp.layout(), hide=self.hide_pdp),
], style=dict(marginBottom=25, marginTop=25)),
dbc.Row([
dbc.Col([
make_hideable(self.contributions_list.layout(), hide=self.hide_contributiontable),
], md=6),
dbc.Col([
html.Div([]),
], md=6),
])
], fluid=True)
def make_gallery_row(row):
return dbc.Row(
dbc.CardDeck(
[
make_card(
f"id_card{i+row}",
gallery[i + row].image,
gallery[i + row].title,
gallery[i + row].source_code,
gallery[i + row].about,
) for i in range(CARDS_PER_ROW)
],
className=" mx-2",
))
def get_cards():
return html.Div([
dbc.CardDeck(
[
dbc.Card(
dbc.CardBody([
html.H5("Aktuelle Temperatur", className="card-title"),
html.H1("--",
id='current-temp-text',
style={'color': 'skyblue'}),
html.P(
[
"Messwert vom:",
html.Br(),
#DataProviderSingleton.getInstance().get_latest_datetime().strftime('%d.%m.%Y, %H:%M Uhr')
'--'
],
id='current-temp-datetime',
className="card-text")
])),
dbc.Card(
dbc.CardBody([
html.H5("Temperaturdurchschnitt",
className="card-title"),
html.H1("--",
id='average-temp-text',
style={'color': 'skyblue'}),
html.P([
"Berücksichtigter Zeitraum:",
html.Br(),
"--",
],
id='average-temp-datetime',
className="card-text")
])),
dbc.Card(
dbc.CardBody([
html.H5("Veränderung", className="card-title"),
html.H1("--",
id='temp-tendency-text',
style={'color': 'skyblue'}),
html.P(
"Die aktuelle Veränderung kann steigend, sinkend oder stabil sein",
className="card-text",
)
])),
],
className="mt-3 ml-1 mr-1")
])
def _generate_comparison_layout(self, graph_one, graph_two):
"""
Returns and generates a dual comparison layout.
:param graph_one: (Graph) The first graph object for the dual interface.
:param graph_two: (Graph) Comparison graph object for the dual interface.
:return: (html.Div) Returns a Div containing the interface.
"""
# Set Graph names
graph_one_name = type(graph_one).__name__
graph_two_name = type(graph_two).__name__
# Set the cyto graphs
self._set_cyto_graph()
# Get different edges between two graphs
difference = graph_one.get_difference(graph_two)
# Layout components
padding = {'padding': '10px 10px 10px 10px'}
cards = dbc.CardDeck([
dbc.Card([
dbc.CardHeader(graph_one_name),
dbc.CardBody(self.cyto_one),
], ),
dbc.Card(
[dbc.CardHeader(graph_two_name),
dbc.CardBody(self.cyto_two)], )
],
style=padding)
summary = dbc.Card([
html.H5("Summary", className="card-title"),
html.P("{} nodes in each graph and {} different edge(s) per graph."
.format(graph_one.get_graph().number_of_nodes(),
int(len(difference) / 2)),
className="card-text")
],
className="w-50",
style={
'margin': '0 auto',
'padding': '10px 10px 10px 10px'
})
layout = html.Div([
dbc.Row(dbc.Col(cards, width=12, align='center')),
summary,
],
style={'padding-bottom': '10px'})
return layout
def __init__(self, datamodel):
super().__init__("Country", datamodel)
self.content = dbc.Col(
[
dbc.Row(dbc.Col(self.__create_country_dropdown())),
html.Br(),
dbc.Row(
dbc.Col([
dbc.CardDeck([
panel.create_card("Total cases", "",
"lb_confirmed"),
panel.create_card("Recovered", "", "lb_recovered"),
panel.create_card("Deaths", "", "lb_deaths",
"death_text"),
])
])),
html.Br(),
dbc.Row(dbc.Col(self.__create_button_groups())),
dbc.Row(
dbc.Col(
[
html.Iframe(
id="chart_confirmed_trend",
style={
"border-width": "0",
"width": "100%",
"height": "300px",
},
)
],
width=12,
), ),
dbc.Row(
dbc.Col(
html.Iframe(
id="chart_deaths_trend",
style={
"border-width": "0",
"width": "100%",
"height": "300px",
},
),
width=12,
), ),
],
width=12,
)
def importing_layout(demo=False): m = dbc.Container(children=[ dbc.Row(children=[ dbc.Col(children=[ cc.importing_greeting(demo=demo) ]) ]), dbc.Row(children=[ dbc.Col(children=[ dbc.CardDeck(children=[ cc.importing_dataset_dropdown(), cc.importing_user_dataset_list(demo=demo), cc.importing_data_upload(demo=demo), ]), ]) ], id="upload-collapse") ], fluid=True) return m
def serve_layout():
"""Build the top-level dashboard layout.
Contains two hidden divs with the number of the currently selected
state and the colormap sharedSacross callbacks.
Returns
-------
layout : dash_bootstrap_components.Container
Bootstrap container with the top-level layout.
"""
layout = dbc.Container(
style={'max-width': '2000px'},
children=[
# update every 15 minutes
dcc.Interval(
id='interval-component',
interval=15 * 60 * 1000, # in milliseconds
n_intervals=0),
# hidden div for shared data
html.Div(id='shared_data', children=[], style={'display': 'none'}),
# title
html.H1(children=('Getränkekasse'),
className='display-3',
style={
'margin-top': '3rem',
'margin-bottom': '3rem'
}),
# info boxes
html.P(dbc.Row(children=[dbc.Col(build_info_cards(), width=12)])),
html.P(
dbc.Row(children=[
dbc.Col(build_timeline(), width=9),
dbc.Col(build_debt_table(), width=3)
])),
# content
html.P(
dbc.CardDeck(
children=[build_inventory_overview(),
build_chart()])),
],
)
return layout
def get_summary(dfs):
""" Gets a list of h6 with data from previous month """
mdate = date.today()
date_m1 = mdate.replace(day=1) - timedelta(days=1)
date_m2 = date_m1.replace(day=1) - timedelta(days=1)
# Get stats for last month and the month previous to the last one
stats = _get_stats(dfs, date_m1)
stats2 = _get_stats(dfs, date_m2)
# Header of the summary
data = [["Stats for months", "{:%Y/%m} ({:%Y/%m})".format(date_m1, date_m2), "secundary"]]
# Fill the summary with relevant stats
for name, color in c.colors.COLORS_CARDS.items():
# bool stating if it is better than previous month (expenses should be reversed)
aux = stats[name] > stats2[name]
symbols = ARROWS[not aux if name == c.names.EXPENSES else aux]
# space as thousand separator
text = f"{stats[name]:,.0f}€ ({stats2[name]:,.0f}€) {symbols}".replace(",", ".")
data.append([name, text, color])
# Show a text with transactions excel file date
name = get_money_lover_filename()
data.append(["Using data from", name.split(".")[0].replace("-", "/"), "secundary"])
return dbc.CardDeck(
[
dbc.Card(
[dbc.CardTitle(title), dbc.CardText(text)],
color=color,
className="w3-center",
style=lay.padding(),
)
for title, text, color in data
],
style=lay.padding(),
)
def createCardDeck(distance,duration,speed,calories):
if duration.total_seconds() < 3600:
durationStr = str(duration.components[2])+'m '+str(duration.components[3])+'s'
elif duration.total_seconds() < 86400:
durationStr = str(duration.components[1])+'h '+str(duration.components[2])+'m '+str(duration.components[3])+'s'
else:
durationStr = str(duration.components[0])+'j '+str(duration.components[1])+'h '+str(duration.components[2])+'m '+str(duration.components[3])+'s'
cardDeck = dbc.CardDeck([
dbc.Card(color="primary",inverse=True,children=[
dbc.CardImg(src="static/distance.png",top=True),
dbc.CardBody([
html.H5("Distance",className="card-title"),
html.P("{:.2f}".format(distance)+" km",className="card-text text-center")
])
]),
dbc.Card(color="primary",inverse=True,children=[
dbc.CardImg(src="static/duration.png",top=True),
dbc.CardBody([
html.H5("Durée",className="card-title"),
html.P(durationStr,className="card-text text-center")
])
]),
dbc.Card(color="primary",inverse=True,children=[
dbc.CardImg(src="static/speed.png",top=True),
dbc.CardBody([
html.H5("Vitesse",className="card-title"),
html.P("{:.2f}".format(speed)+" km/h",className="card-text text-center"),
# html.P((df['Average Pace'].mean()+ pd.to_datetime('1970/01/01')).strftime('%M:%S')+" min/km",className="card-text text-center")
])
]),
dbc.Card(color="primary",inverse=True,children=[
dbc.CardImg(src="static/burn.png",top=True),
dbc.CardBody([
html.H5("Calories",className="card-title"),
html.P(str(calories)+" kcal",className="card-text text-center")
])
])
])
return cardDeck
def update_cards(df):
confirmed = f'{int(round(df.confirmed.sum() / 1)):,}'
active = f'{int(round(df.active.sum() / 1)):,}'
recovered = f'{int(round(df.recovered.sum() / 1)):,}'
critical = f'{int(round(df.critical.sum() / 1)):,}'
deaths = f'{int(round(df.deaths.sum() / 1)):,}'
metric = (active, recovered, critical, deaths)
label = ('Active', 'Recovered', 'Critical', 'Deaths')
cards = \
html.Div([
dbc.Row([
dbc.Col(html.H3('Worldwide Cases : ' + confirmed, id='metric-title'), md=8, xs=12),
dbc.Col(dbc.Row([
html.Div(dcc.Dropdown(
id='dropdown',
options=
[{'label': 'Worldwide', 'value': 'Worldwide'}] +
[{'label': val, 'value': val} for val in
df.country.sort_values(ascending=True).values],
placeholder='Country filter',
), id='dropdown_div'),
dbc.Button("Refresh", color="primary", id='data_refresh')
]), md=4, id='country-search', className="row justify-content-center"),
], id='dashboard_title'),
dbc.CardDeck(
[
dbc.Card(
html.Div([
html.P(lab, className='metric_text'),
html.H4(met, className='metric_text'),
], className='metric_body'
), className='card border-0'
) for met, lab in zip(metric, label)
], id='metric'
)
])
return cards
def project_summary(df_latest):
number_of_active_projects = df_latest.shape[0]
avr_donation_size = int(
(df_latest.donated_amount_in_euro / df_latest.donations_count).replace(
[np.inf, -np.inf], np.nan).dropna().mean())
mask = (df_latest['created_at'] > dt.now().replace(
day=1, hour=1, minute=1, second=1, tzinfo=None))
number_project_current_month = df_latest[mask].shape[0]
mydate = datetime.datetime.now()
month_name = mydate.strftime("%B")
card_deck = dbc.CardDeck([
dbc.Card([
dbc.CardHeader(html.B("Active Projects")),
dbc.CardBody([
daq.LEDDisplay(value=number_of_active_projects, color="black")
],
style={'textAlign': 'center'})
],
className="mt-2 mr-1"),
dbc.Card([
dbc.CardHeader(html.B("Average donation size (€)")),
dbc.CardBody(
[daq.LEDDisplay(value=avr_donation_size, color="black")],
style={'textAlign': 'center'})
],
className="mt-2 ml-1 mr-1"),
dbc.Card([
dbc.CardHeader(html.B("New projects in {}".format(month_name))),
dbc.CardBody([
daq.LEDDisplay(value=number_project_current_month,
color="black")
],
style={'textAlign': 'center'})
],
className="mt-2 ml-1")
])
return card_deck
def count_report_cards(counts):
"""
A type of report where each attribute and its count
is presented as a card. Used for general observations.
"""
return dbc.CardDeck([
dbc.Card(
[
dbc.CardBody([
html.H5(label_translations[c[0]], className="card-title"),
html.P(f'{c[1]} defectos', className="card-text"),
]),
dbc.CardFooter(
dbc.Button("Más información",
id={
"type": "observation_card",
"index": c[0]
}))
],
className="mt-3 md-3",
) for c in counts
], )
def render():
element = html.Div([
html.P(
"Fill up your scores and we'll try to choose the best concentration for you!",
id="manual-welcome",
),
dbc.Alert(
id="manual-error",
color="danger",
className="d-none",
),
html.Div(
dbc.CardDeck(
[IMDDHeader.render(), MIHeader.render(), SEHeader.render()],
className="mt-3",
),
id="manual-deck",
className="d-none",
),
],
id="manual-output-container"
)
return element
def make_highlights():
mcards = []
values = get_and_merge_data("bme1_temperature", 24)
vmax = values["val"].max()
vmin = values["val"].min()
mcards.append((dbc.CardImg(src = "assets/in_house.png", style = {"width": "50px"}), dbc.CardBody([html.P(f"Max: {vmax}\u00B0C"), html.P(f"Min: {vmin}\u00B0C")])))
values = get_and_merge_data("bme1_humidity", 24)
vmax = values["val"].max()
vmin = values["val"].min()
mcards.append((dbc.CardImg(src = "assets/humidity_in.png", style = {"width": "50px"}), dbc.CardBody([html.P(f"Max: {vmax} %"), html.P(f"Min: {vmin} %")])))
values = get_and_merge_data("428F_94_temp", 24)
vmax = values["val"].max()
vmin = values["val"].min()
mcards.append((dbc.CardImg(src = "assets/out_house.png", style = {"width": "50px"}), dbc.CardBody([html.P(f"Max: {vmax}\u00B0C"), html.P(f"Min: {vmin}\u00B0C")])))
values = get_and_merge_data("428F_94_hum", 24)
vmax = values["val"].max()
vmin = values["val"].min()
mcards.append((dbc.CardImg(src = "assets/humidity_out.png", style = {"width": "50px"}), dbc.CardBody([html.P(f"Max: {vmax} %"), html.P(f"Min: {vmin} %")])))
return dbc.Row(dbc.CardDeck([dbc.Col(c, width = 5) for c in mcards], className = "weather"))
def create_headers():
headers = dbc.CardDeck([
dbc.Card(
dbc.CardBody([
html.H5("Text Section 1", className="card-title"),
html.P(
"Some explanation about the housing data base.... "
"bit longer than the second card.",
className="card-text",
),
dbc.Button("Click here", color="success", className="mt-auto"),
])),
dbc.Card(
dbc.CardBody([
html.H5("Text Section 2", className="card-title"),
html.P(
"Continue explanations for database...",
className="card-text",
),
dbc.Button("Click here", color="warning", className="mt-auto"),
])),
dbc.Card(
dbc.CardBody([
html.H5("Text Section 3", className="card-title"),
html.P(
"This card has some text content, which is longer "
"than both of the other two cards, in order to "
"demonstrate the equal height property of cards in a "
"card group.",
className="card-text",
),
dbc.Button("Click here", color="danger", className="mt-auto"),
])),
])
return headers