def update_localenv_analysis(graph):
if not graph:
raise PreventUpdate
graph = self.from_data(graph)
return html.Div(
[
str(_get_local_order_parameters(graph, 0)),
html.Br(),
html.Small("This functionality is still under development."),
]
)
def update_displayed_composition(*args):
kwargs = self.reconstruct_kwargs_from_state()
comp_dict = {}
for k, v in kwargs.items():
if "comp" in k: # keys are encoded like "comp-Ag"
el = k.split("-")[1]
comp_dict[el] = v
comp_dict = comp_dict or None
if not comp_dict:
return ""
try:
comp = Composition(comp_dict)
formula = Composition(
comp.get_integer_formula_and_factor()[0]).reduced_formula
except:
return html.Small(f"Invalid composition selected.",
style={"color": "red"})
return html.Small(
f"Pourbaix composition set to {unicodeify(formula)}.")
src="/static/images/portrait-placeholder.png",
className="img-fluid rounded-start",
),
className="col-md-4",
),
dbc.Col(
dbc.CardBody(
[
html.H4("Card title", className="card-title"),
html.P(
"This is a wider card with supporting text "
"below as a natural lead-in to additional "
"content. This content is a bit longer.",
className="card-text",
),
html.Small(
"Last updated 3 mins ago",
className="card-text text-muted",
),
]
),
className="col-md-8",
),
],
className="g-0 d-flex align-items-center",
)
],
className="mb-3",
style={"maxWidth": "540px"},
)
import dash_bootstrap_components as dbc
from dash import html
list_group = dbc.ListGroup([
dbc.ListGroupItem([
html.Div(
[
html.H5("This item has a heading", className="mb-1"),
html.Small("Yay!", className="text-success"),
],
className="d-flex w-100 justify-content-between",
),
html.P("And some text underneath", className="mb-1"),
html.Small("Plus some small print.", className="text-muted"),
]),
dbc.ListGroupItem([
html.Div(
[
html.H5("This item also has a heading", className="mb-1"),
html.Small("Ok!", className="text-warning"),
],
className="d-flex w-100 justify-content-between",
),
html.P("And some more text underneath too", className="mb-1"),
html.Small("Plus even more small print.", className="text-muted"),
]),
])
def process_fmu(fmu_filename):
basename, _ = os.path.splitext(fmu_filename)
pickle_filename = basename + '.p'
fmu_hash = os.path.basename(basename)
try:
model_description = read_model_description(fmu_filename,
validate=False)
except Exception as e:
alert = dbc.Alert([
html.I(className='fas fa-times me-3'),
f"Failed to read model description. {e}"
],
id='alert',
color='danger',
className='mt-3')
with open(pickle_filename, 'wb') as f:
pickle.dump([alert], f)
return
platforms = supported_platforms(fmu_filename)
with zipfile.ZipFile(fmu_filename, 'r') as zf:
nl = filter(lambda n: not n.endswith('/'), zf.namelist())
fmi_types = []
if model_description.modelExchange:
fmi_types.append('Model Exchange')
if model_description.coSimulation:
fmi_types.append('Co-Simulation')
def na(attr):
value = getattr(model_description, attr)
if value:
return value
else:
return html.Span('n/a', className='text-muted')
rows = [
dbc.Row([
dbc.Col(html.Span("FMI Version"), width=4),
dbc.Col(html.Span(model_description.fmiVersion), width=8),
],
className='py-1'),
dbc.Row([
dbc.Col("FMI Type", width=4),
dbc.Col(', '.join(fmi_types), width=8),
],
className='py-1'),
dbc.Row([
dbc.Col("Model Name", width=4),
dbc.Col(model_description.modelName, width=8),
],
className='py-1'),
dbc.Row([
dbc.Col("Platforms", width=4),
dbc.Col(', '.join(platforms), width=8),
],
className='py-1'),
dbc.Row([
dbc.Col(html.Span("Continuous States"), width=4),
dbc.Col(html.Span(model_description.numberOfContinuousStates),
width=8),
],
className='py-1'),
dbc.Row([
dbc.Col(html.Span("Event Indicators"), width=4),
dbc.Col(html.Span(model_description.numberOfEventIndicators),
width=8),
],
className='py-1'),
dbc.Row([
dbc.Col(html.Span("Model Variables"), width=4),
dbc.Col(html.Span(len(model_description.modelVariables)), width=8),
],
className='py-1'),
dbc.Row([
dbc.Col(html.Span("Generation Date"), width=4),
dbc.Col(na('generationDateAndTime'), width=8)
],
className='py-1'),
dbc.Row([
dbc.Col(html.Span("Generation Tool"), width=4),
dbc.Col(na('generationTool'), width=8)
],
className='py-1'),
dbc.Row([
dbc.Col(html.Span("Description"), width=4),
dbc.Col(na('description'), width=8)
],
className='py-1'),
dbc.Row([
dbc.Col(html.Span("SHA256"), width=4),
dbc.Col(html.Span(fmu_hash), width=8),
],
className='py-1'),
dbc.Row([
dbc.Col(html.Span("File Size"), width=4),
dbc.Col(html.Span(f'{os.path.getsize(fmu_filename)} bytes'),
width=8),
],
className='py-1'),
]
try:
problems = validate_fmu(fmu_filename)
except Exception as e:
problems = [str(e)]
if problems:
alert = dbc.Alert([
html.P([
html.I(className='fas fa-exclamation-circle me-3'),
f"Validation failed. {len(problems)} {'problem was' if len(problems) == 1 else 'problems were'} found:"
]),
html.Ul([html.Li(problem) for problem in problems])
],
id='alert',
color='danger',
className='mt-3')
else:
alert = dbc.Alert([
html.I(className='fas fa-check me-3'),
"Validation passed. No problems found."
],
id='alert',
color='success',
className='mt-3')
variables = []
table_header = [
html.Thead(
html.Tr([
html.Th("Type"),
html.Th("Name"),
html.Th("Causality"),
html.Th("Start", className='text-right'),
html.Th("Unit"),
html.Th("Description")
]))
]
for variable in model_description.modelVariables:
unit = variable.unit
if unit is None and variable.declaredType is not None:
unit = variable.declaredType.unit
if variable.type == 'Boolean':
color = '#c900c9'
elif variable.type == 'Binary':
color = '#ab0000'
elif variable.type.startswith(('Int', 'Enum')):
color = '#c78f00'
elif variable.type.startswith(('Real', 'Float')):
color = '#0000bf'
else: # String
color = '#00a608'
variables.append(
html.Tr([
html.Td(
html.Small(variable.type,
style={
'color': color,
'border': '1px solid ' + color,
'border-radius': '1em',
'padding': '0 0.5em 0 0.5em',
})),
html.Td(variable.name),
# html.Td(variable.variability),
html.Td(variable.causality),
html.Td(variable.start, className='text-right'),
html.Td(unit),
html.Td(variable.description, className='text-muted')
]))
table = dbc.Table(table_header + [html.Tbody(variables)],
borderless=True,
size='sm')
tabs = dbc.Tabs([
dbc.Tab(rows, label="Model Info", className='p-4'),
dbc.Tab(table, label="Variables", className='p-4'),
dbc.Tab(html.Pre('\n'.join(nl)), label="Files", className='p-4'),
],
id='tabs')
with open(pickle_filename, 'wb') as f:
pickle.dump([alert, tabs], f)
def layout(github_img_url, linkedin_img_url):
with open('databases/state_codes.json') as state_codes:
state_dict = json.load(state_codes)
states_dropdown = []
for state_code, state_name in state_dict.items():
states_dropdown.append({"label": state_name, "value": state_code})
lyt = html.Div(children=[
html.Div(
id='init-viewport',
className='large-display',
children=[
html.Div(
className='container-fluid',
children=[
html.Div(
className=
'row align-items-center justify-content-center',
children=[
html.Div(
className='col-lg-8',
children=[
html.H4(
className='display-4 text-center',
children='COVID-19 Dashboard')
]),
html.Div(className='w-100', children=[]),
html.Div(
className='col-lg-4',
children=[
html.P(
className=
'font-weight-normal text-center',
children='Select a state'),
dbc.Select(
id='state',
className=
'shadow px-4 mb-1 bg-white rounded',
options=states_dropdown,
),
html.Div(className='w-100',
children=[])
])
])
])
]),
html.Div(
className='container-fluid',
children=[
html.Div(
className='row justify-content-center align-items-center',
children=[
# html.Div(className='col-lg-1', children=[]),
html.Div(
className='col-lg-4',
children=[
html.Div(
className=
'card shadow px-4 mb-3 bg-white rounded',
children=[
html.H3(className=
'card-title text-center pt-3',
children='Total Cases'),
dcc.Graph(
id='Total-Cases',
className='graph',
config={'displayModeBar': False})
]),
html.Div(className='w-100', children=[]),
html.Div(
className=
'card shadow px-4 mb-3 bg-white rounded',
children=[
html.
H3(className=
'card-title text-center pt-3',
children='Active and Recovered Cases'
),
dcc.Graph(
id='Active-Cases',
className='graph',
config={'displayModeBar': False})
])
]),
html.Div(
className='col-lg-4',
children=[
html.Div(
className=
'card shadow px-4 mb-1 bg-white rounded',
children=[
html.H3(
className=
'card-title text-center pt-3',
children=
'Recovery Rate of Active Cases'),
html.
P(className='card-text pl-3',
children=[
'Probability of recovery from infection (Includes deceased cases)'
]),
dcc.Graph(
id='Gamma',
className='graph',
config={'displayModeBar': False})
]),
html.Div(className='w-100', children=[]),
html.Div(
className=
'card shadow px-4 mb-1 bg-white rounded',
children=[
html.H3(
className=
'card-title text-center pt-3',
children=
'Transmission Rate of Active Cases'
),
html.
P(className='card-text pl-3',
children=[
'Probability of transmission of infection from an active case to a person in the general population'
]),
dcc.Graph(
id='Beta',
className='graph',
config={'displayModeBar': False})
])
]),
html.Div(
className='col-lg-4',
children=[
html.Div(
className=
'card shadow px-4 mb-1 bg-white rounded',
children=[
html.H3(
className=
'card-title text-center pt-3',
children='Reproductive Number'),
html.
P(className='card-text pl-3',
children=[
'Number of additional infections caused by an infected person before recovery'
]),
dcc.Graph(
id='R-0',
className='graph',
config={'displayModeBar': False})
]),
html.Div(className='w-100', children=[]),
html.Div(
className=
'card shadow px-4 mb-1 bg-white rounded',
children=[
html.Div(
className='card-text pl-1 py-3 ',
children=[
html.Div(
className=
' align-items-center',
children=[
html.Div(
className=
'd-flex w-100 justify-content-between',
children=[
html.
H5(className=
'mb-1',
children=
'Data Sources'
),
html.Small(
id=
'update-string',
children=
'Default'),
]),
html.
P(className=
'mb-1 text-justify',
children=[
'All data presented in this dashboard is obtained from the ',
html.
A(href=
'https://www.covid19india.org/',
target='_blank',
children=[
'COVID-19 India'
]),
' project, using their ',
html.
A(href=
'https://api.covid19india.org/',
target='_blank',
children='API')
]),
]),
html.Hr(className='mb-1'),
html.Div(
className=
'align-items-center pt-2',
children=[
html.
H5(className='mb-1',
children='References'
),
html.
P(className=
'mb-1 text-justify',
children=[
'''The analysis provided in this dashboard follows the Susceptible,
Infected and Recovered model given by Yi-Cheng Chen et al. in their paper ''',
html.
A(href=
'http://gibbs1.ee.nthu.edu.tw/A_TIME_DEPENDENT_SIR_MODEL_FOR_COVID_19.PDF',
children=
'"A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons".'
)
])
]),
html.Hr(className='mb-1'),
html.Div(
className='container pt-2',
children=[
html.Div(
className=
'row justify-content-center align-items-center',
children=[
html.Div(
className=
'col',
children=[
html.A(
className
='btn btn-dark align-items-center',
target
='_blank',
# TODO Update links
href
='https://github.com/Aniruddha-S-Prasad/COVID19-Dashboard-India',
children
=[
html
.
Img(className
='icons',
src
=github_img_url
),
' Github Repository'
]),
]),
html.Div(
className=
'col',
children=[
html.
A(className
='btn btn-light align-items-center',
target
='_blank',
href=
'https://www.linkedin.com/in/aniruddha-sathyadharma-prasad/',
children
=[
html
.
Img(className
='icons',
src
=linkedin_img_url
),
' Connect on Linkedin'
])
])
])
])
]),
])
]),
# html.Div(className='col-lg-1', children=[])
])
])
])
return lyt