The Metoffice (UK) now provides such information for worldwide locations.
https://metoffice.apiconnect.ibmcloud.c ... roduction/
I have written a small snippet of Python that will pull back rain/wind/temperature and a weather 'code' on the hourly spot data if anyone is interested...
The latitude and longitude I use are for my area of Astley in Worcestershire (UK)
YOU WILL HAVE TO CHANGE THE KEYS FOR YOUR OWN FOR THIS TO WORK!!!
Code: Select all
# Mark Hollingworth
# 18-1-20
# Version 2
# Make use of the new MetOffice DataHub api
# Up to 360 requests per day (free)
# Up to 10000 per month (free)
import time
import requests
import curses
import sys
import http.client
import json
conn = http.client.HTTPSConnection("api-metoffice.apiconnect.ibmcloud.com")
# Replace these with your key and secret
headers = {
'x-ibm-client-id': "YOUR_CLIENT_ID",
'x-ibm-client-secret': "YOUR_CLIENT_SECRET",
'accept': "application/json"
}
def getWeatherNewAPI():
# No error
retVal = 0
key.addstr(5, 0, "Temp (C)")
key.addstr(5, 10, "Code")
key.addstr(5, 20, "Wind (mph)")
key.addstr(5, 40, "Rain (%)")
key.addstr(5, 50, "Time (UTC)")
if 0 == 0 : #try :
# Replace latitude and longiture with your own
conn.request("GET", "/metoffice/production/v0/forecasts/point/hourly?excludeParameterMetadata=false&includeLocationName=true&latitude=52.29098&longitude=-2.3374", headers=headers)
res = conn.getresponse()
data = res.read()
data_decoded = data.decode("utf-8")
f = open("temp.txt", "w")
f.write(data_decoded)
f.close()
data_dict = json.loads(data_decoded)
if not isinstance(data_dict, dict) :
key.addstr(14, 0, "Not successfully converted into a dictionary - check API key")
retVal = 3
else :
location = (data_dict['features'][0]['properties']['location']['name'])
key.addstr(12, 0, "Location found is : {}".format(location))
time0 = (data_dict['features'][0]['properties']['timeSeries'][0]['time'])
windSpeed0 = (data_dict['features'][0]['properties']['timeSeries'][0]['windSpeed10m'])
temperature0 = (data_dict['features'][0]['properties']['timeSeries'][0]['screenTemperature'])
probofrain0 = (data_dict['features'][0]['properties']['timeSeries'][0]['probOfPrecipitation'])
swc0 = (data_dict['features'][0]['properties']['timeSeries'][0]['significantWeatherCode'])
key.addstr(6, 0, "{}".format(temperature0))
key.addstr(6, 10, "{}".format(swc0))
# Convert m/s to mph
key.addstr(6, 20, "{}".format(int(float(windSpeed0 * 2.23694))))
key.addstr(6, 40, "{}".format(probofrain0))
key.addstr(6, 50, "{}".format(time0))
time1 = (data_dict['features'][0]['properties']['timeSeries'][1]['time'])
windspeed1 = (data_dict['features'][0]['properties']['timeSeries'][1]['windSpeed10m'])
temperature1 = (data_dict['features'][0]['properties']['timeSeries'][1]['screenTemperature'])
probofrain1 = (data_dict['features'][0]['properties']['timeSeries'][1]['probOfPrecipitation'])
swc1 = (data_dict['features'][0]['properties']['timeSeries'][1]['significantWeatherCode'])
key.addstr(7, 0, "{}".format(temperature1))
key.addstr(7, 10, "{}".format(swc1))
# Convert m/s to mph
key.addstr(7, 20, "{}".format(int(float(windspeed1 * 2.23694))))
key.addstr(7, 40, "{}".format(probofrain1))
key.addstr(7, 50, "{}".format(time1))
time2 = (data_dict['features'][0]['properties']['timeSeries'][2]['time'])
windspeed2 = (data_dict['features'][0]['properties']['timeSeries'][2]['windSpeed10m'])
temperature2 = (data_dict['features'][0]['properties']['timeSeries'][2]['screenTemperature'])
probofrain2 = (data_dict['features'][0]['properties']['timeSeries'][2]['probOfPrecipitation'])
swc2 = (data_dict['features'][0]['properties']['timeSeries'][2]['significantWeatherCode'])
key.addstr(8, 0, "{}".format(temperature2))
key.addstr(8, 10, "{}".format(swc2))
# Convert m/s to mph
key.addstr(8, 20, "{}".format(int(float(windspeed2 * 2.23694))))
key.addstr(8, 40, "{}".format(probofrain2))
key.addstr(8, 50, "{}".format(time2))
time3 = (data_dict['features'][0]['properties']['timeSeries'][3]['time'])
windspeed3 = (data_dict['features'][0]['properties']['timeSeries'][3]['windSpeed10m'])
temperature3 = (data_dict['features'][0]['properties']['timeSeries'][3]['screenTemperature'])
probofrain3 = (data_dict['features'][0]['properties']['timeSeries'][3]['probOfPrecipitation'])
swc3 = (data_dict['features'][0]['properties']['timeSeries'][3]['significantWeatherCode'])
key.addstr(9, 0, "{}".format(temperature3))
key.addstr(9, 10, "{}".format(swc3))
# Convert m/s to mph
key.addstr(9, 20, "{}".format(int(float(windspeed3 * 2.23694))))
key.addstr(9, 40, "{}".format(probofrain3))
key.addstr(9, 50, "{}".format(time1))
"""
except (requests.ConnectionError, requests.Timeout, requests.RequestException):
# Presumably , no internet connection...
retVal = 1
except :
retVal = 2
key.addstr(14, 0, "Unknown Error! {}".format(sys.exc_info()[0]))
"""
return retVal
# Start of the main code
key = curses.initscr()
curses.noecho()
key.keypad(1)
key.nodelay(1)
key.clear()
quitPressed = 0
intReqCount = 1
# This is the main loop - do forever
while (quitPressed == 0) :
# Start with "not good", getWeatherNewAPI() returns 0 if data is good
goodData = 1
doReq = False
# Check between 6AM and 8PM
if ( (time.localtime().tm_hour >= 6) and (time.localtime().tm_hour < 20) ) :
doReq = True
key.addstr(0, 0, "")
key.clrtoeol()
key.addstr(0, 0, "Performing request")
key.refresh()
intReqCount += 1
goodData = getWeatherNewAPI()
if doReq == False :
key.clear()
key.addstr(2, 0, "Not in checking time zone")
everythingOff()
intReqCount = 0
else :
key.addstr(2, 0, "")
key.clrtoeol()
key.addstr(2, 0, "Request count {} ".format(intReqCount))
key.refresh()
# Now go to sleep for approx 15 minutes - but keep checking for q/o/s keys
key.addstr(0, 0, "")
key.clrtoeol()
key.addstr(0, 0, "Press <q to Quit> <o/s to Override/Stop Override> ")
key.refresh()
c = 0
while (c != 900) :
c += 1
if goodData != 0 :
# Force a new request for data in 30s
c = 870
goodData = 0
time.sleep(1)
k = key.getch()
if k > -1 :
if k == ord('q') :
quitPressed = 1
break
key.clear()
key.keypad(0)
curses.echo()
curses.endwin()
