class ThrowInfo:
def __init__(self):
self.infotron = CovidInfokr()
self.wdinfotron = CovidInfowd()
def unroll_data(self, datarr):
datarr = datarr.split('|')
try:
datarr = [int(float(dat)) for dat in datarr]
except ValueError:
dat = 0
pass
# confirmed accumulated, increase, patients, recovered , deceased, ratio
return tuple(datarr)
def csv_data(self):
fieldnames, fieldvalues = self.infotron.read_csv_data()
return fieldnames, fieldvalues
def parse_data(self):
fieldnames, fieldvalues = self.csv_data()
datarray_chart = []
keys = [
'City', 'Increase from day before', 'Total Patients',
'Total Quarantine', 'Total Recovered', 'Total Deceased',
'Increase to Patient Ratio'
]
datarray = [[datarr[0], *self.unroll_data(datarr[-1])]
for datarr in fieldvalues]
print(f"Current date's status of Covid19:\n{datarray}")
datarray.insert(0, keys)
datarray_all = datarray
for cnt, ele in enumerate(datarray):
try:
if (cnt == 0):
datarray_chart.append([ele[0], ele[2]])
else:
datarray_chart.append([ele[0], int(float(ele[2]))])
except ValueError:
if (cnt == 0):
datarray_chart.append([ele[0], ele[1]])
else:
datarray_chart.append([ele[0], int(str(ele[1]))])
return datarray_all, datarray_chart
from Covid19.src.covid19_kr import CovidInfokr
from Covid19.src.covid19_wd import CovidInfowd
from Covid19.src.covid19_seoul import CovidInfoSeoul
from Web.scrape import ThrowInfo as scrape
import Web.web as web
if __name__ == '__main__':
covidkr = CovidInfokr() # Korean Stats for Covid-19
covidkr.run()
covidwd = CovidInfowd() # new World Stats that has more accurate
covidwd.run()
# seoul = CovidInfoSeoul()
# seoul.run()
web.app.run(port=8080,debug=True)
def __init__(self):
self.infotron = CovidInfokr()
self.wdinfotron = CovidInfowd()