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functions.py
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functions.py
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import requests
import json
from io import StringIO
from datetime import date
import pandas as pd
TODAY = date.today().strftime("%d-%b-%Y")
TOKEN = "bda1701c2db22bbef579618483d1d9f4"
def forecast_15days ():
urlsp = "http://apiadvisor.climatempo.com.br/api/v1/forecast/locale/3477/days/15?token=" + TOKEN
urlpa = "http://apiadvisor.climatempo.com.br/api/v1/forecast/locale/5346/days/15?token=" + TOKEN
urlct = "http://apiadvisor.climatempo.com.br/api/v1/forecast/locale/6731/days/15?token=" + TOKEN
urlrj = "http://apiadvisor.climatempo.com.br/api/v1/forecast/locale/5959/days/15?token=" + TOKEN
responsesp = requests.request("GET", urlsp)
responsepa = requests.request("GET", urlpa)
responsect = requests.request("GET", urlct)
responserj = requests.request("GET", urlrj)
id = 100
ids = []
city = []
state = []
date = []
probability = []
sp = json.loads(responsesp.text)
pa = json.loads(responsepa.text)
ct = json.loads(responsect.text)
rj = json.loads(responserj.text)
dataListSP = sp["data"]
dataListPA = pa["data"]
dataListCT = ct["data"]
dataListRJ = rj["data"]
for x in dataListSP:
ids.append(id)
city.append(sp["name"])
state.append(sp["state"])
date.append(x["date"])
probability.append(x["rain"]["probability"])
id += 10
for x in dataListPA:
ids.append(id)
city.append(pa["name"])
state.append(pa["state"])
date.append(x["date"])
probability.append(x["rain"]["probability"])
id += 10
for x in dataListCT:
ids.append(id)
city.append(ct["name"])
state.append(ct["state"])
date.append(x["date"])
probability.append(x["rain"]["probability"])
id += 10
for x in dataListRJ:
ids.append(id)
city.append(rj["name"])
state.append(rj["state"])
date.append(x["date"])
probability.append(x["rain"]["probability"])
id += 10
dict = {'id': ids, 'cidade': city, 'estado': state, 'data': date, 'probabilidade': probability}
df = pd.DataFrame(dict)
df.to_csv("previsao-cidades-2021.csv")
#return response.text
def forecast_72hours (id):
url = "http://apiadvisor.climatempo.com.br/api/v1/forecast/locale/" + id + "/hours/72?token=" + TOKEN
response = requests.request("GET", url)
return response.text
def forecast_3days_region (region):
url = "http://apiadvisor.climatempo.com.br/api/v1/forecast/region/" + region + "?token=" + TOKEN
response = requests.request("GET", url)
return response.text
def history_city ():
#url = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/" + id + "?token="+ TOKEN + "-hist&from=" + init + "&to=" + end
urlspjan = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/3477?token=" + TOKEN + "-hist&from=2021-01-01&to=2021-01-31"
urlspfev = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/3477?token=" + TOKEN + "-hist&from=2021-02-01&to=2021-02-28"
urlspmar = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/3477?token=" + TOKEN + "-hist&from=2021-03-01&to=2021-03-31"
urlspabr = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/3477?token=" + TOKEN + "-hist&from=2021-04-01&to=2021-04-30"
urlspmai = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/3477?token=" + TOKEN + "-hist&from=2021-05-01&to=2021-05-28"
urlpajan = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5346?token=" + TOKEN + "-hist&from=2021-01-01&to=2021-01-31"
urlpafev = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5346?token=" + TOKEN + "-hist&from=2021-02-01&to=2021-02-28"
urlpamar = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5346?token=" + TOKEN + "-hist&from=2021-03-01&to=2021-03-31"
urlpaabr = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5346?token=" + TOKEN + "-hist&from=2021-04-01&to=2021-04-30"
urlpamai = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5346?token=" + TOKEN + "-hist&from=2021-05-01&to=2021-05-28"
urlctjan = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/6731?token=" + TOKEN + "-hist&from=2021-01-01&to=2021-01-31"
urlctfev = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/6731?token=" + TOKEN + "-hist&from=2021-02-01&to=2021-02-28"
urlctmar = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/6731?token=" + TOKEN + "-hist&from=2021-03-01&to=2021-03-31"
urlctabr = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/6731?token=" + TOKEN + "-hist&from=2021-04-01&to=2021-04-30"
urlctmai = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/6731?token=" + TOKEN + "-hist&from=2021-05-01&to=2021-05-28"
urlrjjan = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5959?token=" + TOKEN + "-hist&from=2021-01-01&to=2021-01-31"
urlrjfev = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5959?token=" + TOKEN + "-hist&from=2021-02-01&to=2021-02-28"
urlrjmar = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5959?token=" + TOKEN + "-hist&from=2021-03-01&to=2021-03-31"
urlrjabr = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5959?token=" + TOKEN + "-hist&from=2021-04-01&to=2021-04-30"
urlrjmai = "http://apiadvisor.climatempo.com.br/api/v1/history/locale/5959?token=" + TOKEN + "-hist&from=2021-05-01&to=2021-05-28"
responsespjan = requests.request("GET", urlspjan)
responsespfev = requests.request("GET", urlspfev)
responsespmar = requests.request("GET", urlspmar)
responsespabr = requests.request("GET", urlspabr)
responsespmai = requests.request("GET", urlspmai)
responsepajan = requests.request("GET", urlpajan)
responsepafev = requests.request("GET", urlpafev)
responsepamar = requests.request("GET", urlpamar)
responsepaabr = requests.request("GET", urlpaabr)
responsepamai = requests.request("GET", urlpamai)
responsectjan = requests.request("GET", urlctjan)
responsectfev = requests.request("GET", urlctfev)
responsectmar = requests.request("GET", urlctmar)
responsectabr = requests.request("GET", urlctabr)
responsectmai = requests.request("GET", urlctmai)
responserjjan = requests.request("GET", urlrjjan)
responserjfev = requests.request("GET", urlrjfev)
responserjmar = requests.request("GET", urlrjmar)
responserjabr = requests.request("GET", urlrjabr)
responserjmai = requests.request("GET", urlrjmai)
id = 1000
ids = []
city = []
state = []
date = []
precipitation = []
city1 = []
state1 = []
date1 = []
precipitation1 = []
city2 = []
state2 = []
date2 = []
precipitation2 = []
city3 = []
state3 = []
date3 = []
precipitation3 = []
city4 = []
state4 = []
date4 = []
precipitation4 = []
city5 = []
state5 = []
date5 = []
precipitation5 = []
spjan = json.loads(responsespjan.text)
spfev = json.loads(responsespfev.text)
spmar = json.loads(responsespmar.text)
spabr = json.loads(responsespabr.text)
spmai = json.loads(responsespmai.text)
pajan = json.loads(responsepajan.text)
pafev = json.loads(responsepafev.text)
pamar = json.loads(responsepamar.text)
paabr = json.loads(responsepaabr.text)
pamai = json.loads(responsepamai.text)
ctjan = json.loads(responsectjan.text)
ctfev = json.loads(responsectfev.text)
ctmar = json.loads(responsectmar.text)
ctabr = json.loads(responsectabr.text)
ctmai = json.loads(responsectmai.text)
rjjan = json.loads(responserjjan.text)
rjfev = json.loads(responserjfev.text)
rjmar = json.loads(responserjmar.text)
rjabr = json.loads(responserjabr.text)
rjmai = json.loads(responserjmai.text)
print (pamai)
dataListSPJan = spjan["data"]
dataListSPFev = spfev["data"]
dataListSPMar = spmar["data"]
dataListSPAbr = spabr["data"]
dataListSPMai = spmai["data"]
dataListPAJan = pajan["data"]
dataListPAFev = pafev["data"]
dataListPAMar = pamar["data"]
dataListPAAbr = paabr["data"]
dataListPAMai = pamai["data"]
dataListCTJan = ctjan["data"]
dataListCTFev = ctfev["data"]
dataListCTMar = ctmar["data"]
dataListCTAbr = ctabr["data"]
dataListCTMai = ctmai["data"]
dataListRJJan = rjjan["data"]
dataListRJFev = rjfev["data"]
dataListRJMar = rjmar["data"]
dataListRJAbr = rjabr["data"]
dataListRJMai = rjmai["data"]
for x in dataListSPJan:
ids.append(id)
city1.append(spjan["name"])
state1.append(spjan["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListSPFev:
ids.append(id)
city1.append(spfev["name"])
state1.append(spfev["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListSPMar:
ids.append(id)
city1.append(spmar["name"])
state1.append(spmar["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListSPAbr:
ids.append(id)
city1.append(spabr["name"])
state1.append(spabr["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListSPMai:
ids.append(id)
city1.append(spmai["name"])
state1.append(spmai["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListPAJan:
ids.append(id)
city1.append(pajan["name"])
state1.append(pajan["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListPAFev:
ids.append(id)
city1.append(pafev["name"])
state1.append(pafev["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListPAMar:
ids.append(id)
city1.append(pamar["name"])
state1.append(pamar["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListPAAbr:
ids.append(id)
city1.append(paabr["name"])
state1.append(paabr["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListPAMai:
ids.append(id)
city1.append(pamai["name"])
state1.append(pamai["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListCTJan:
ids.append(id)
city1.append(ctjan["name"])
state1.append(ctjan["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListCTFev:
ids.append(id)
city1.append(ctfev["name"])
state1.append(ctfev["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListCTMar:
ids.append(id)
city1.append(ctmar["name"])
state1.append(ctmar["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListCTAbr:
ids.append(id)
city1.append(ctabr["name"])
state1.append(ctabr["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListCTMai:
ids.append(id)
city1.append(ctmai["name"])
state1.append(ctmai["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListRJJan:
ids.append(id)
city1.append(rjjan["name"])
state1.append(rjjan["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListRJFev:
ids.append(id)
city1.append(rjfev["name"])
state1.append(rjfev["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListRJMar:
ids.append(id)
city1.append(rjmar["name"])
state1.append(rjmar["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListRJAbr:
ids.append(id)
city1.append(rjabr["name"])
state1.append(rjabr["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in dataListRJMai:
ids.append(id)
city1.append(rjmai["name"])
state1.append(rjmai["state"])
date1.append(x["date"])
precipitation1.append(x["rain"]["precipitation"])
id += 10
for x in city1:
city.append(x)
for x in city2:
city.append(x)
for x in city3:
city.append(x)
for x in city4:
city.append(x)
for x in city5:
city.append(x)
for x in state1:
state.append(x)
for x in state2:
state.append(x)
for x in state3:
state.append(x)
for x in state4:
state.append(x)
for x in state5:
state.append(x)
for x in date1:
date.append(x)
for x in date2:
date.append(x)
for x in date3:
date.append(x)
for x in date4:
date.append(x)
for x in date5:
date.append(x)
for x in precipitation1:
precipitation.append(x)
for x in precipitation2:
precipitation.append(x)
for x in precipitation3:
precipitation.append(x)
for x in precipitation4:
precipitation.append(x)
for x in precipitation5:
precipitation.append(x)
dict = {'id': ids, 'cidade': city, 'estado': state, 'data': date, 'precipitacao': precipitation}
df = pd.DataFrame(dict)
df.to_csv("historico-cidades-2021.csv")
def lightning_history_localeid (localeId, init, end, outputFormat):
url = "http://apiadvisor.climatempo.com.br/api/v1/lightning/strikes?token=" + TOKEN + "-light&from=" + init + "&to=" + end + "&localeId=" + localeId + "&outputFormat=" + outputFormat
response = requests.request("GET", url)
return response.text
def lightning_history_coordinates (latitude, longitude, radius, init, end, outputFormat):
url = "http://apiadvisor.climatempo.com.br/api/v1/lightning/strikes?token=" + TOKEN + "-light&from=" + init + "&to=" + end + "&latitude=" + latitude + "&longitude=" + longitude + "&radius=" + radius + "&outputFormat=" + outputFormat
response = requests.request("GET", url)
return response.text
def lightning_geometry_localeid (localeId, init, end):
url = "http://apiadvisor.climatempo.com.br/api/v1/lightning/strikes?token=" + TOKEN + "-light&from=" + init + "&to=" + end + "&localeId=" + localeId
response = requests.request("GET", url)
convert = StringIO(response.text)
result = [json.dumps(record) for record in json.load(convert)]
return result
def flood_risk (latitude, longitude):
url = "http://apiadvisor.climatempo.com.br/api/v1/flood/risk?token=" + TOKEN + "-flood&latitude=" + latitude + "&longitude=" + longitude
response = requests.request("GET", url)
return response.text
#print(lightning_geometry_localeid("3477", "2021-04-01", "2021-04-30"))
#print(flood_risk("-23.647066", "-46.63954"))
history_city()
#forecast_15days()