+
+def write_csv(csv_file, weather_data):
+ """output like wetter.at.pl"""
+ with open(csv_file, "a", newline="") as file:
+ writer = csv.writer(file, dialect="excel", delimiter=';')
+ writer.writerow([
+ weather_data['datetime'].date(),
+ weather_data['datetime'].time(),
+ weather_data['sunrise'].time(),
+ weather_data['sunset'].time(),
+ "{:.2f}".format(weather_data['temp']),
+ "{:.2f} mm/h".format(weather_data['precipitation']),
+ "{:.1f} km/h {}".format(weather_data['windspeed'], weather_data['winddirection']),
+ weather_data['weather'],
+ "{}".format(weather_data['cloudiness'])
+ ])
+
+
+def write_db(config, url, weather_json, weather_data):
+ user = config.get('database', 'user')
+ pwd = config.get('database','password')
+ host = config.get('database','hostname')
+ db = config.get('database','database')
+
+ engine = create_engine('mysql+mysqldb://{}:{}@{}/{}'.format(user, pwd, host, db), echo=False)
+ conn = engine.connect()
+ row = dict(cityid=config.get('openweathermap', 'cityid'), url=url, result=json.dumps(weather_json))
+ row.update(weather_data)
+ for key, value in row.items():
+ if isinstance(value, float) and math.isnan(value):
+ row[key] = None
+ sql_columns = list(row.keys())
+ sql_values = list(row.values())
+ sql = 'insert ignore into openweathermap ({}) values ({})'.format(', '.join(sql_columns), ','.join(['%s'] * len(sql_columns)))
+ with warnings.catch_warnings():
+ # ignore _mysql_exceptions.Warning: Duplicate entry '3319578-2018-08-01 20:50:00' for key 'cityid_datetime'
+ warnings.simplefilter("ignore", category=MySQLdb.cursors.Warning)
+ conn.execute(sql, *sql_values)
+ conn.close()
+
+
+def main(configfile, debug):