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pruebas_meteosix.py
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# Tipo petición http://servizos.meteogalicia.es/apiv3/findPlaces?location=oure&API_KEY=***
import urllib3
import json
import requests
import numpy as np
import time
from datetime import timedelta
import datetime
hora_actual = datetime.datetime.now().isoformat()
hora_actual = hora_actual[:-7]
print(hora_actual)
print()
print()
print("Selecciona el nº de días de predicción[1:7] ")
dias = input()
hora_siguiente = (datetime.datetime.now() + timedelta(days=int(dias))).isoformat()
hora_siguiente = hora_siguiente[:-7]
print(hora_siguiente)
# Consultamos el lugar al usuario
print("Selecciona el lugar para obtener sus datos: ")
lugar = input()
# Preparamos los datos de la petición
api_code = 'tcZwyEj10Lb5W11usQMSM52QIlCutCCI64LfHv8AeuJsp9aE1F16tsn4yvdK0R52'
parametros = {'location': lugar, 'API_KEY': api_code,'format': 'application/json'}
url = 'http://servizos.meteogalicia.es/apiv3/findPlaces'
# Enviamos la peticion
peticion = requests.get(url, parametros)
# Obtenemos la respuesta
'''
Nos devuelve un json con la siguiente estructura
{
"type" : "FeatureCollection",
"crs" : {
"type" : "name",
"properties" : {
"name" : CRS
}
},
"features" : FEATURES_ARRAY
}
{
"type" : "Feature",
"geometry" : {
"type" : "Point",
"coordinates": [
X,
Y
]
},
"properties" : {
"id" : ID,
"name" : NAME,
"municipality" : MUNICIPALITY,
"province" : PROVINCE,
"type" : TYPE
}
}
'''
respuesta = json.loads(peticion.text)
print("La peticion es: " + str(peticion.url))
print(respuesta)
print()
print()
lista_sitios = dict()
for i in range(len(respuesta['features'])):
print()
print()
lista_sitios[i] = [respuesta['features'][i]['properties']['name'],
respuesta['features'][i]['properties']['municipality'],
respuesta['features'][i]['properties']['province']
]
print(respuesta['features'][i]['properties']['name'],
respuesta['features'][i]['properties']['municipality'],
respuesta['features'][i]['properties']['province'])
print()
print()
print()
print()
print("***************** Ahora imprimo el diccionario:")
i = 0
for a in lista_sitios.items():
print(a)
print()
print()
print()
# Obtenemos nuestras coordenadas
longitud = str(respuesta['features'][0]['geometry']['coordinates'][0])
latitud = str(respuesta['features'][0]['geometry']['coordinates'][1])
# Imprimos la información que hemos obtenido
print("La respuesta HTTP obtenida para obtener las coordenadas es: {}".format(peticion.status_code))
print("La longitud es: {}".format(longitud))
print("La latitud es: {}".format(latitud))
print()
'''
En google maps obtenemos un iframe tal que así
<iframe src="https://www.google.com/maps/embed?pb=!1m14!1m12!1m3!1d11616.09153605781!2d-7.6873714500000006!3d43.292842449999995!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!5e0!3m2!1ses!2ses!4v1492344844203" width="600" height="450" frameborder="0" style="border:0" allowfullscreen></iframe>
Tal que así nos sale Vilalba:
<iframe style="border: 0;" src="https://www.google.com/maps/embed?pb=!1m14!1m12!1m3!1d11616.09153605781!2d-7.05321!3d43.21462!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!5e0!3m2!1ses!2ses!4v1492344844203" width="600" height="450" frameborder="0" allowfullscreen="allowfullscreen"></iframe>
'''
# Ya para obtener la predicción de un punto en concreto
'''
http://servizos.meteogalicia.es/apiv3/getNumericForecastInfo?coords=-8.350573861318628,43.3697102138535&API_KEY=***
Y obtenemos una respuesta con la siguiente estructura:
Variable sky_state:
{
"name": VARIABLE_NAME,
"model": MODEL_NAME,
"grid": GRID_NAME,
"geometry": {
"type": "Point",
"coordinates": [
X,
Y
]
"values": VALUES_ARRAY
}
Variable wind:
{
"name": VARIABLE_NAME,
"model": MODEL_NAME,
"grid": GRID_NAME,
"moduleUnits": MODULE_UNIT_NAME,
"directionUnits": DIRECTION_UNIT_NAME,
"geometry": {
"type": "Point",
"coordinates": [
X,
Y
]
"values": VALUES_ARRAY
}
Resto de las variables:
{
"name": VARIABLE_NAME,
"model": MODEL_NAME,
"grid": GRID_NAME,
"units": UNIT_NAME,
"geometry": {
"type": "Point",
"coordinates": [
X,
Y
]
"values": VALUES_ARRAY
}
'''
# Preparamos los datos de la petición
url = 'http://servizos.meteogalicia.es/apiv3/getNumericForecastInfo'
coordenadas = longitud + ',' + latitud
print("Las coordenadas juntas son: {}".format(coordenadas))
parametros2 = {'coords': coordenadas, 'API_KEY': api_code, 'startTime':'2013-03-07T15:00:00', 'endTime':'2013-03-08T08:00:00'}
# Enviamos la peticion
peticion2 = requests.get(url, parametros2)
# Obtenemos la respuesta
respuesta2 = json.loads(peticion2.text)
# Imprimos la información que hemos obtenido
print("La respuesta HTTP obtenida para unas coordenadas sin especificar nada más es: {}".format(peticion2.status_code))
print()
# Si queremos obtener unos datos concretos, le pasamos como parámetros las variables que deseamos
variables = 'temperature' # 'sky_state,temperature,precipitation_amount,wind'
parametros3 = {'coords': coordenadas, 'variables': variables, 'API_KEY': api_code, 'startTime': hora_actual, 'endTime':hora_siguiente}
# Enviamos la peticion
peticion3 = requests.get(url, parametros3)
# Obtenemos la respuesta
respuesta3 = json.loads(peticion3.text)
print("La respuesta HTTP obtenida para el tiempo de las coordenadas y variables que le pasamos es: {}".format(peticion3.status_code))
print()
# Vamos extrayendo los valores que nos interesan
valor1 = respuesta3['features'][0]['properties']['days'][0]['variables'][0]['values'][2]
print("El valor 1 obtenido es: {}".format(valor1))
print()
#Imprimimos todos los valores para la temperatura
# de 0 a longitud del array de días
for i in range(len(respuesta3['features'][0]['properties']['days'])):
if i == 0:
print()
print("Valor para {} el mismo día que se consulta: ".format(variables))
else:
print()
print("Valor para {} día +{}: ".format(variables, i))
for j in range(len(respuesta3['features'][0]['properties']['days'][i]['variables'][0]['values'])):
time_instant = str(respuesta3['features'][0]['properties']['days'][i]['variables'][0]['values'][j]['timeInstant'])
if j == 0:
print("Variable " + variables + " para el día: {}".format(time_instant[:10]))
print(time_instant[11:19] + ' --> ' + str(respuesta3['features'][0]['properties']['days'][i]['variables'][0]['values'][j]['value']) + " ºC")
'''
http://servizos.meteogalicia.es/apiv3/getNumericForecastInfo?coords=-7.13934,43.23871&format=text/html&API_KEY=tcZwyEj10Lb5W11usQMSM52QIlCutCCI64LfHv8AeuJsp9aE1F16tsn4yvdK0R52&variables=temperature
Desde esta url podemos ver lo que nos devuelve el json mejor que desde terminal...
http://codebeautify.org/jsonviewer
https://opendata.aemet.es/opendata/sh/8649a5d7
--> La consulta para que nos devuelva json y no html como arriba es tal que así:
http://servizos.meteogalicia.es/apiv3/getNumericForecastInfo?coords=-7.13934,43.23871&format=application/html&API_KEY=tcZwyEj10Lb5W11usQMSM52QIlCutCCI64LfHv8AeuJsp9aE1F16tsn4yvdK0R52&variables=temperature
Lo que obtenemos es esto:
{
"type": "FeatureCollection",
"crs": {
"type": "name",
"properties": {
"name": "urn:ogc:def:crs:OGC:1.3:CRS84"
}
},
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-7.13934,
43.23871
]
},
"properties": {
"days": [
{
"timePeriod": {
"begin": {
"timeInstant": "2017-04-16T17:24:07+02"
},
"end": {
"timeInstant": "2017-04-16T23:59:59+02"
}
},
"variables": [
{
"name": "temperature",
"model": "WRF",
"grid": "04km",
"units": "degc",
"geometry": {
"type": "Point",
"coordinates": [
-7.13934,
43.23871
]
},
"values": [
{
"timeInstant": "2017-04-16T18:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 14
},
{
"timeInstant": "2017-04-16T19:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 12
},
{
"timeInstant": "2017-04-16T20:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 12
},
{
"timeInstant": "2017-04-16T21:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 10
},
{
"timeInstant": "2017-04-16T22:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 9
},
{
"timeInstant": "2017-04-16T23:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 8
}
]
}
]
},
{
"timePeriod": {
"begin": {
"timeInstant": "2017-04-17T00:00:00+02"
},
"end": {
"timeInstant": "2017-04-17T23:59:59+02"
}
},
"variables": [
{
"name": "temperature",
"model": "WRF",
"grid": "04km",
"units": "degc",
"geometry": {
"type": "Point",
"coordinates": [
-7.13934,
43.23871
]
},
"values": [
{
"timeInstant": "2017-04-17T00:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 7
},
{
"timeInstant": "2017-04-17T01:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 7
},
{
"timeInstant": "2017-04-17T02:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 6
},
{
"timeInstant": "2017-04-17T03:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 6
},
{
"timeInstant": "2017-04-17T04:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 5
},
{
"timeInstant": "2017-04-17T05:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 6
},
{
"timeInstant": "2017-04-17T06:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 6
},
{
"timeInstant": "2017-04-17T07:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 6
},
{
"timeInstant": "2017-04-17T08:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 6
},
{
"timeInstant": "2017-04-17T09:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 8
},
{
"timeInstant": "2017-04-17T10:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 13
},
{
"timeInstant": "2017-04-17T11:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 15
},
{
"timeInstant": "2017-04-17T12:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 16
},
{
"timeInstant": "2017-04-17T13:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 17
},
{
"timeInstant": "2017-04-17T14:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 17
},
{
"timeInstant": "2017-04-17T15:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 18
},
{
"timeInstant": "2017-04-17T16:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 18
},
{
"timeInstant": "2017-04-17T17:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 18
},
{
"timeInstant": "2017-04-17T18:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 17
},
{
"timeInstant": "2017-04-17T19:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 16
},
{
"timeInstant": "2017-04-17T20:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 14
},
{
"timeInstant": "2017-04-17T21:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 11
},
{
"timeInstant": "2017-04-17T22:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 10
},
{
"timeInstant": "2017-04-17T23:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 9
}
]
}
]
},
{
"timePeriod": {
"begin": {
"timeInstant": "2017-04-18T00:00:00+02"
},
"end": {
"timeInstant": "2017-04-18T23:59:59+02"
}
},
"variables": [
{
"name": "temperature",
"model": "WRF",
"grid": "04km",
"units": "degc",
"geometry": {
"type": "Point",
"coordinates": [
-7.13934,
43.23871
]
},
"values": [
{
"timeInstant": "2017-04-18T00:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 8
},
{
"timeInstant": "2017-04-18T01:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 8
},
{
"timeInstant": "2017-04-18T02:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 8
},
{
"timeInstant": "2017-04-18T03:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 6
},
{
"timeInstant": "2017-04-18T04:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 6
},
{
"timeInstant": "2017-04-18T05:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 5
},
{
"timeInstant": "2017-04-18T06:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 5
},
{
"timeInstant": "2017-04-18T07:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 5
},
{
"timeInstant": "2017-04-18T08:00:00+02",
"modelRun": "2017-04-16T02:00:00+02",
"value": 5
},
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}
'''
'''
Prueba que hice con split, pero no me muestra el html
imprimir = str(peticion3.content).split('<body>')
imprimir2 = imprimir[1].split('</tbody>')
print()
print(imprimir2[0])
print()'''