/
reloader.py
180 lines (148 loc) · 7.45 KB
/
reloader.py
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import json
import time
import urllib.request
import pandas as pd
from datetime import datetime
jsonToReturn = {}
counter = 0
def globalCases():
# Confirmed cases
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv"
dataConfirmed = pd.read_csv(url)
dataConfirmed = dataConfirmed.drop(columns=['Province/State', 'Country/Region', 'Lat', 'Long'])
dataConfirmed = dataConfirmed.sum(axis=0)
#Death cases
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv"
dataDeaths = pd.read_csv(url)
dataDeaths = dataDeaths.drop(columns=['Province/State', 'Country/Region', 'Lat', 'Long'])
dataDeaths = dataDeaths.sum(axis=0)
#Recovered cases
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv"
dataRecovered = pd.read_csv(url)
dataRecovered = dataRecovered.drop(columns=['Province/State', 'Country/Region', 'Lat', 'Long'])
dataRecovered = dataRecovered.sum(axis=0)
#-------------------------
d = {'date': dataConfirmed.index.tolist(), 'confirmed': dataConfirmed.values.tolist(), 'deaths': dataDeaths.values.tolist(), 'recovered': dataRecovered.values.tolist()}
data = pd.DataFrame(data=d)
resp = json.loads(data.to_json(orient='records'))
jsonToReturn['globalCases'] = resp
def brasilCases():
# Confirmed cases
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv"
dataConfirmed = pd.read_csv(url)
dataConfirmed = dataConfirmed.loc[dataConfirmed["Country/Region"] == "Brazil"]
dataConfirmed = dataConfirmed.drop(columns=['Province/State', 'Country/Region', 'Lat', 'Long'])
dataConfirmed = dataConfirmed.sum(axis=0)
#Death cases
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv"
dataDeaths = pd.read_csv(url)
dataDeaths = dataDeaths.loc[dataDeaths["Country/Region"] == "Brazil"]
dataDeaths = dataDeaths.drop(columns=['Province/State', 'Country/Region', 'Lat', 'Long'])
dataDeaths = dataDeaths.sum(axis=0)
#Recovered cases
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv"
dataRecovered = pd.read_csv(url)
dataRecovered = dataRecovered.loc[dataRecovered["Country/Region"] == "Brazil"]
dataRecovered = dataRecovered.drop(columns=['Province/State', 'Country/Region', 'Lat', 'Long'])
dataRecovered = dataRecovered.sum(axis=0)
#-------------------------
d = {'date': dataConfirmed.index.tolist(), 'confirmed': dataConfirmed.values.tolist(), 'deaths': dataDeaths.values.tolist(), 'recovered': dataRecovered.values.tolist()}
data = pd.DataFrame(data=d)
resp = json.loads(data.to_json(orient='records'))
jsonToReturn['brasilCases'] = resp
def toptenconfirmed():
# Confirmed cases
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv"
dataConfirmed = pd.read_csv(url)
dataConfirmed = dataConfirmed.drop(columns=['Province/State','Lat', 'Long'])
col = dataConfirmed['Country/Region']
col = col.to_numpy()
col = list(dict.fromkeys(col))
data = []
for c in col:
d = dataConfirmed.loc[dataConfirmed["Country/Region"] == c]
d = d.drop(columns=['Country/Region']).sum(axis=0)
if (c == 'Diamond Princess'):
continue
if (c == 'Czechia'):
c = 'Czech'
if (c == 'Korea, South'):
c = 'Korea (Republic of)'
if (c == 'Taiwan*'):
c = 'Taiwan'
if (c == 'US'):
c = 'USA'
try:
response = urllib.request.urlopen('https://restcountries.eu/rest/v2/name/' + c.replace(" ", "%20"))
except:
response = urllib.request.urlopen('https://restcountries.eu/rest/v2/name/' + c.split(" ", 1)[0])
countryInfo = json.loads(response.read())
d = d.values.tolist()
country = {'Region': countryInfo[0]['region'], 'Country': c, 'value': d[len(d)-1]}
data.append(country)
data = sorted(data, key=lambda k: k['value'], reverse=True)[:10]
data = pd.DataFrame(data=data)
resp = json.loads(data.to_json(orient='records'))
jsonToReturn['topTenConfirmed'] = resp
def worldregions():
# Confirmed cases
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv"
dataConfirmed = pd.read_csv(url)
dataConfirmed = dataConfirmed.drop(columns=['Province/State','Lat', 'Long'])
col = dataConfirmed['Country/Region']
col = col.to_numpy()
col = list(dict.fromkeys(col))
data = {}
for c in col:
d = dataConfirmed.loc[dataConfirmed["Country/Region"] == c]
d = d.drop(columns=['Country/Region']).sum(axis=0)
if c == 'Diamond Princess':
continue
if c == 'Czechia':
c = 'Czech'
if c == 'Korea, South':
c = 'Korea (Republic of)'
if c == 'Taiwan*':
c = 'Taiwan'
if c == 'US':
c = 'United States of America'
try:
response = urllib.request.urlopen('https://restcountries.eu/rest/v2/name/' + c.replace(" ", "%20"))
except:
response = urllib.request.urlopen('https://restcountries.eu/rest/v2/name/' + c.split(" ", 1)[0])
countryInfo = json.loads(response.read())
d = d.values.tolist()
if data.get(countryInfo[0]['region']):
data[countryInfo[0]['region']] = data[countryInfo[0]['region']] + d[len(d)-1]
else:
data[countryInfo[0]['region']] = d[len(d)-1]
data = {k: v for k, v in sorted(data.items(), key=lambda item: item[1], reverse=True)}
resp = []
for key in data:
resp.append({'Region': key, 'value': data[key]})
data = pd.DataFrame(data=resp)
resp = json.loads(data.to_json(orient='records'))
jsonToReturn['worldregions'] = resp
def reloadData():
globalCases()
brasilCases()
toptenconfirmed()
worldregions()
response = json.loads(urllib.request.urlopen('https://api.github.com/repos/CSSEGISandData/COVID-19/commits').read())
jsonToReturn['updateTime'] = response[0]['commit']['author']['date']
jsonToReturn['updateTime'] = jsonToReturn['updateTime'].replace('T', ' ').replace('Z', '.0')
with open('data.json', 'w', encoding='utf-8') as f:
json.dump(jsonToReturn, f, ensure_ascii=False, indent=4)
while True:
if str(datetime.now().strftime("%H:%M:%S")) == "03:01:00":
with open('data.json') as json_file:
dateBefore = json.loads(json_file.read())['updateTime']
try:
response = json.loads(urllib.request.urlopen('https://api.github.com/repos/CSSEGISandData/COVID-19/commits').read())
dateNow = response[0]['commit']['author']['date']
dateNow = dateNow.replace('T', ' ').replace('Z', '.0')
except:
dateNow = dateBefore
if dateBefore != dateNow:
reloadData()
time.sleep(5)