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Script to store forecasts from met.no
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#!/usr/bin/python3 | |
""" | |
Data are downloaded hourly from api.met.no using | |
/usr/bin/curl -s -A "<email>" "https://api.met.no/weatherapi/locationforecast/2.0/complete?lat=59&lon=10" > /var/www/html/homelog2/weather.json 2>/dev/null | |
check https://api.met.no/ for terms and usage | |
After being downloaded, the data are available on a local http-server. The reason I am not reading the file directly in | |
this script is that I am also using it for other purposes that need the http | |
schema for table: https://gist.github.com/sickel/9ae88a47f665c0962120078ed93e103a | |
""" | |
import psycopg | |
import urllib.request | |
import json | |
from datetime import datetime | |
import time | |
import os | |
debug = os.environ.get('IMPORTMETDATA_DEBUG',None) is not None | |
url = "http://localhost/homelog2/weather.json" | |
# url is pointing to where the downloaded file is served | |
# dbconn: dbname=database user=username password=password | |
# Put a file with the info in the same directory as this script, | |
# or edit the file to have it directly | |
with open('dbconn.txt') as dbconnfile: | |
dbconn = dbconnfile.read() | |
dateformat='%Y-%m-%dT%H:%M:%Sz'#"YYYY-MM-DDTHH:MM:SSZ" | |
if debug: | |
print(dbconn) | |
CONN = psycopg.connect(dbconn) #,cursor_factory=psycopg.extras.DictCursor) | |
CUR = CONN.cursor() | |
INSERT = """ | |
insert into forecast(parameter,value,unit,timestamp) | |
values(%s,%s,%s,to_timestamp(%s)) | |
on conflict (parameter,timestamp) | |
DO UPDATE set value = EXCLUDED.value | |
""" | |
f=urllib.request.urlopen(url) | |
metdata=json.loads(f.read()) | |
updated = metdata['properties']['meta']['updated_at'] | |
if debug: | |
print(updated) | |
updatetime = datetime.strptime(updated,dateformat) | |
units = metdata['properties']['meta']['units'] | |
datapoints = metdata['properties']['timeseries'] | |
for cast in datapoints: | |
forecasttime = datetime.strptime(cast['time'],dateformat) | |
timedelta = (forecasttime - updatetime).seconds+(forecasttime - updatetime).days*24*3600 | |
utime = int(time.mktime(forecasttime.timetuple())) | |
forecast = cast['data']['instant']['details'] | |
if debug: | |
print(forecast) | |
for parameter in forecast: | |
CUR.execute(INSERT,[parameter,forecast[parameter],units[parameter],utime]) | |
CONN.commit() |
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