def send():
ip_addr = request.remote_addr
if request.method == "POST":
return redirect(url_for("home"))
data = json.load(open('data.json'))
jtopy = json.dumps(data)
dict_json = json.loads(jtopy)
print(jsonify(dict_json))
x = dict_json['x']
y = dict_json['y']
found_user = users.query.filter_by(ip=ip_addr).first()
state = found_user.state
county = found_user.county
file = corona.get_file(raw_data)
x = []
y = []
corona.get_data(x, y, file, state, county)
return render_template("graph.html",
state=state,
county=county,
json_data=dict_json,
x=x,
y=y)
def sms_reply():
"""Respond to incoming calls with a simple text message."""
# Fetch the message
msg_text = request.form.get('Body')
phone_no = request.form.get('From')
if(bool(phone_no)==False):
msg = MessagingResponse()
resp = msg.message("Hello this is a bot which gives you covid-19 statistics just enter a country name and it "
"will provide with current statistics ")
return str(resp)
else:
# Create reply
data = get_data(msg_text)
msg = MessagingResponse()
resp = msg.message(data)
return str(msg)
def home():
''''global selected
if not selected:
file = corona.get_file(raw_data)
states = corona.get_states(file)
keys = []
values = []
corona.create_dict(keys, values, file, raw_data)
return render_template("index.html", states=states, len=len(states), len2=len(keys), keys=keys, values=values, seleceted=selected)
else:'''
global selected
if request.method == "POST":
state = request.form['state']
county = request.form['county']
if state == 'default' or county == 'county':
state = 'California'
county = 'San Francisco'
file = corona.get_file(raw_data)
x = []
y = []
dump_data(state, county, file, x, y, 'data.json')
corona.get_data(x, y, file, state, county)
ip_addr = request.remote_addr
found_user = users.query.filter_by(ip=ip_addr).first()
if found_user:
found_user.state = state
found_user.county = county
db.session.commit()
else:
user = users(ip_addr, state, county)
db.session.add(user)
db.session.commit()
file = corona.get_file(raw_data)
states = corona.get_states(file)
keys = []
values = []
corona.create_dict(keys, values, file, raw_data)
print(selected)
return render_template("index.html",
states=states,
len=len(states),
len2=len(keys),
keys=keys,
values=values,
selected='True')
else:
ip_addr = request.remote_addr
file = corona.get_file(raw_data)
states = corona.get_states(file)
keys = []
values = []
corona.create_dict(keys, values, file, raw_data)
file = corona.get_file(raw_data)
x = []
y = []
data = json.load(open('data.json'))
jtopy = json.dumps(data)
dict_json = json.loads(jtopy)
state = dict_json['state']
county = dict_json['county']
found_user = users.query.filter_by(ip=ip_addr).first()
if found_user:
found_user.state = state
found_user.county = county
db.session.commit()
else:
user = users(ip_addr, state, county)
db.session.add(user)
db.session.commit()
dump_data(state, county, file, x, y, 'data.json')
file = corona.get_file(raw_data)
return render_template("index.html",
states=states,
len=len(states),
len2=len(keys),
keys=keys,
values=values,
selected=selected)
def dump_data(state, county, file, x, y, json_file):
corona.get_data(x, y, file, state, county)
data = {'x': x, 'y': y, 'state': state, 'county': county}
with open(json_file, 'w') as outfile:
json.dump(data, outfile, indent=4)
def main():
country = get_params()
if not country:
data = corona.get_data(True, True)
COUNTRY = None
else:
c = r'\b' + re.escape(str(country).lower()) + r'\b'
data = corona.get_data(True, False, c)
if not data:
print(u.error(), 'INVALID COUNTRY')
quit()
COUNTRY = 'US' if country == 'Us' else country
# Get everything for plot & print
xarr, yarr = build_func_data(data, COUNTRY)
a, k_e, b, L, k_l, x0 = get_functions(xarr, yarr)
B = 0 # b-value in exp function
if COUNTRY is None:
dates = list(data.keys())
else:
dates = list(data[COUNTRY].keys())
# Print functions and data
print_functions(a, k_e, B, L, k_l, x0)
print_forecast(L, k_l, x0, a, k_e, B, dates, yarr, ndays)
# Print last expected date and estimated number of confirmed cases based on logistic function
start = datetime.strptime(dates[0], "%y-%m-%d").date()
print_last_day(L, k_l, x0, start)
# Plot graph
try:
# Generate dates for x-axis
x_values = [
start + timedelta(days=x) for x in range(len(dates) + ndays)
]
# Generate y-values
end = len(x_values)
x = numpy.linspace(0, end, num=end)
y_values_e = exponential(x, *[a, k_e, B])
y_values_l = logistic(x, *[L, k_l, x0])
# Set size
plt.rcParams['figure.figsize'] = [16, 9]
plt.rc('font', size=10)
# Format x-axis & y-axis
fig, ax = plt.subplots()
fig.autofmt_xdate()
formatter = mdate.DateFormatter('%y-%m-%d')
ax.xaxis.set_major_formatter(formatter)
ax.get_xaxis().set_major_locator(mdate.DayLocator(interval=7))
ax.yaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))
plt.scatter(x_values[:len(xarr)],
yarr,
zorder=3,
marker='o',
s=40,
alpha=0.75,
edgecolors="dimgrey",
color="lightgrey",
label="Real")
plt.plot(x_values,
y_values_e,
marker='.',
markersize=4,
linewidth=1,
color='firebrick',
label="Exponential")
plt.plot(x_values,
y_values_l,
marker='.',
markersize=4,
linewidth=1,
color='green',
label="Logistic")
plt.text(x_values[-ndays],
yarr[-1],
'{:,.0f}'.format(yarr[-1]),
color="dimgrey")
plt.grid()
plt.legend()
plt.show()
except Exception as e:
print(e.args)