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app.py
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app.py
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import datetime as dt
import json
import uuid
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import flask
from apscheduler.schedulers.background import BackgroundScheduler
from dash.dependencies import Input, Output
server = flask.Flask(__name__)
app = dash.Dash(__name__, server=server, routes_pathname_prefix="/data/")
app.config.suppress_callback_exceptions = True
app.server.secret_key = str(uuid.uuid4())
from pages import (
countrycasesgrowth,
countryratechanges,
credit,
home,
indiahelpline,
indiatable,
livecoronamap,
livecoronatable,
liveindiamap,
liveusamap,
liveusatable,
prediction,
)
from refresh import update
from pages.functions import indiadata, worlddata
external_stylesheets = ["https://codepen.io/theajit/pen/vYYxVLb.css"]
# external JavaScript files
external_scripts = [
"https://codepen.io/theajit/pen/JjdLvZE.js",
]
app.title = "Track Corona India | USA | China | Online Live "
app.layout = html.Div(
[
dcc.Location(id="url", refresh=False),
html.Title("Track Corona India"),
html.Img(src=app.get_asset_url("track_corona_online_logo.png"), title="Track Corona Logo", style={
"height": "80px",
"textAlign": "center",
"display": "inline-block",
"margin-left": "1.5%",
"margin-top": "0.5%"
}),
html.Div(
[
html.Ul(
[
html.Li([dcc.Link("Home ", href="/")]),
html.Li(
[
dcc.Link("India", href="#"),
html.Ul(
[
html.Li(
[
dcc.Link(
"India Table ",
href="/data/live-india-table",
)
]
),
html.Li(
[
dcc.Link(
"India Map ",
href="/data/live-india-map",
)
]
),
html.Li(
[
html.A(
"India helpline ",
href="/data/india-helpline",
)
]
),
],
className="submenu",
),
]
),
html.Li(
[
dcc.Link("Live Table ", href="#"),
html.Ul(
[
html.Li(
[
dcc.Link(
"India Table ",
href="/data/live-india-table",
)
]
),
html.Li(
[
dcc.Link(
"World Table ",
href="/data/live-corona-world-table",
)
]
),
html.Li(
[
dcc.Link(
"USA Table ",
href="/data/live-corona-usa-table",
)
]
),
],
className="submenu",
),
]
),
html.Li(
[
dcc.Link("Live Map ", href="#"),
html.Ul(
[
html.Li(
[
dcc.Link(
"World Map ",
href="/data/live-corona-world-map",
)
]
),
html.Li(
[
dcc.Link(
"India Map ",
href="/data/live-india-map",
)
]
),
html.Li(
[
dcc.Link(
"USA Map ",
href="/data/live-corona-usa-map",
)
]
),
],
className="submenu",
),
]
),
html.Li(
[
dcc.Link("Case Analysis ", href="#"),
html.Ul(
[
html.Li(
[
dcc.Link(
"Total Confirmed Cases",
href="/data/live-total-cases-growth",
)
]
),
html.Li(
[
dcc.Link(
"Day wise Confirmed Cases",
href="/data/live-cases-per-day",
)
]
),
],
className="submenu",
),
]
),
html.Li([html.A("Prediction", href="/data/prediction")]),
html.Li([html.A("About Corona", href="/about-corona")]),
html.Li([html.A("Contributors", href="/data/credits")]),
]
)
],
style={"textAlign": "center"},
className="row dropdownmenu gs-header",
),
# Included sniper as per suggestion
html.Div(dash_table.DataTable(), style={"display": "none"}),
html.Div(id="page-content"),
html.P(
[
u"\u00A9"
" Copyright 2020, Trackcorona.online | Data Sources: WHO and JHU and MOHFW(India)"
],
style={"textAlign": "center"},
className="twelve columns",
),
html.Div(
[
html.Div(
id="live-update-text",
style={"font-size": "10px", "textAlign": "center"},
),
dcc.Interval(
id="interval-component",
interval=20000 * 1000, # in milliseconds
n_intervals=0,
),
],
className="twelve columns",
),
]
)
now = dt.datetime.now()
formated_date = now.strftime("%d/%m/%Y, %H:%M:%S")
@app.callback(
Output("live-update-text", "children"), [Input("interval-component", "n_intervals")]
)
def update_date(n):
return [html.P("Last updated " + str(formated_date))]
@app.callback(Output("page-content", "children"), [Input("url", "pathname")])
def display_page(pathname):
if pathname == "/":
return home.layout
elif pathname == "/data/live-corona-world-map":
return livecoronamap.layout
elif pathname == "/data/live-corona-world-table":
return livecoronatable.layout
elif pathname == "/data/india-helpline":
return indiahelpline.layout
elif pathname == "/data/live-corona-usa-map":
return liveusamap.layout
elif pathname == "/data/live-corona-usa-table":
return liveusatable.layout
elif pathname == "/data/live-india-table":
return indiatable.layout
elif pathname == "/data/live-total-cases-growth":
return countrycasesgrowth.layout
elif pathname == "/data/live-cases-per-day":
return countryratechanges.layout
elif pathname == "/data/live-india-map":
return liveindiamap.layout
elif pathname == "/data/credits":
return credit.layout
elif pathname == "/data/prediction":
return prediction.layout
else:
return home.layout
@server.route("/")
def index():
return flask.redirect(flask.url_for("/data/"))
@server.route("/live-corona-world-table/")
def redirect_table():
return flask.redirect(flask.url_for("/data/"))
@server.route("/live-corona-world-map/")
def redirect_map():
return flask.redirect(flask.url_for("/data/"))
def sensor():
update()
print("Scheduler is alive!")
sched = BackgroundScheduler(daemon=True)
sched.add_job(sensor, "interval", minutes=120)
sched.start()
data_url = "/var/www/coronaApp/api/data.json"
@server.route("/api/all")
def api_index():
with open(data_url) as f:
d = json.load(f)
return d
@server.route("/api/confirmed")
def confirmed():
with open(data_url) as f:
d = json.load(f)
return d["confirmed"]
@server.route("/api/deaths")
def deaths():
with open(data_url) as f:
d = json.load(f)
return d["deaths"]
@server.route("/api/recovered")
def recovered():
with open(data_url) as f:
d = json.load(f)
return d["recovered"]
@server.route("/api/latest")
def latest():
with open(data_url) as f:
d = json.load(f)
return d["latest"]
@server.route("/prediction")
def prediction_html():
return flask.render_template('prediction.html')
@server.route("/sitemap.xml")
def sitemap():
template = flask.render_template('sitemap.xml')
response = flask.make_response(template)
response.headers['Content-Type'] = 'application/xml'
return response
@server.route("/about-corona")
def about_html():
url_world = "https://docs.google.com/spreadsheets/u/0/d/e/2PACX-1vR30F8lYP3jG7YOq8es0PBpJIE5yvRVZffOyaqC0GgMBN6yt0Q-NI8pxS7hd1F9dYXnowSC6zpZmW9D/pubhtml/sheet?headers=false&gid=0"
world_endrow = 2
df_total = worlddata.return_world_total_df(url_world, world_endrow)
df_total["Confirmed"] = df_total["Confirmed"].astype(int)
df_total["Deaths"] = df_total["Deaths"].astype(int)
df_total["Serious & Critical"] = df_total["Serious & Critical"].astype(int)
df_total["Recovered"] = df_total["Recovered"].astype(int)
confirmed = df_total["Confirmed"].values[0]
deaths = df_total["Deaths"].values[0]
serious = df_total["Serious & Critical"].values[0]
recovered = df_total["Recovered"].values[0]
world_confirmed = ("{:,}".format(confirmed))
world_deaths = ("{:,}".format(deaths))
world_serious = ("{:,}".format(serious))
world_recovered = ("{:,}".format(recovered))
return flask.render_template('aboutcorona.html', world_confirm=world_confirmed, world_death=world_deaths, world_serious=world_serious, world_recovered=world_recovered)
@server.route("/india-table")
def india_html():
india_url = "https://www.mohfw.gov.in/"
india_pos = 0
india_strip = 3
india_endrow = 3
df_india_table = indiadata.return_india_table_df(india_url, india_pos, india_strip)
df_india_total = indiadata.return_india_total_df(india_url, india_pos, india_endrow)
df_india_total["Confirmed"] = df_india_total["Confirmed"].astype(int)
df_india_total["Deaths"] = df_india_total["Deaths"].astype(int)
df_india_total["Recovered"] = df_india_total["Recovered"].astype(int)
india_confirmed = df_india_total["Confirmed"].values[0]
india_deaths = df_india_total["Deaths"].values[0]
india_recovered = df_india_total["Recovered"].values[0]
india_confirmed = ("{:,}".format(india_confirmed))
india_deaths = ("{:,}".format(india_deaths))
india_recovered = ("{:,}".format(india_recovered))
return flask.render_template('indiatable.html', tables=[df_india_table.to_html(classes='ui celled table', table_id='india-table')], titles=df_india_table.columns.values, india_confirm=india_confirmed, india_death=india_deaths, india_recovered=india_recovered)
if __name__ == "__main__":
app.run_server(debug=True)