def point_hourly():
"""
Return hourly point data in JSON format
"""
# Get query parameters
args = utils.get_parameters(parameters)
# Check if required parameters are set
if args['lat'] and args['lon'] and len(args['start']) == 10 and len(
args['end']) == 10:
try:
# Convert start & end date strings to datetime
start = datetime.strptime(args['start'], '%Y-%m-%d')
end = datetime.strptime(f'{args["end"]} 23:59:59',
'%Y-%m-%d %H:%M:%S')
# Get number of days between start and end date
date_diff = (end - start).days
# Check date range
if date_diff < 0 or date_diff > max_days:
# Bad request
abort(400)
# Caching
now_diff = (datetime.now() - end).days
if now_diff < 3:
cache_time = 60 * 60
elif now_diff < 30:
cache_time = 60 * 60 * 24
else:
cache_time = 60 * 60 * 24 * 3
Hourly.max_age = cache_time
# Create a point
location = Point(args['lat'], args['lon'], args['alt'])
# Get data
data = Hourly(location,
start,
end,
timezone=args['tz'],
model=args['model'])
# Check if any data
if data.count() > 0:
# Normalize data
data = data.normalize()
# Aggregate
if args['freq']:
data = data.aggregate(args['freq'])
# Unit conversion
if args['units'] == 'imperial':
data = data.convert(units.imperial)
elif args['units'] == 'scientific':
data = data.convert(units.scientific)
# Fetch DataFrame
data = data.fetch()
# Convert to integer
data['tsun'] = data['tsun'].astype('Int64')
data['coco'] = data['coco'].astype('Int64')
# DateTime Index to String
data.index = data.index.strftime('%Y-%m-%d %H:%M:%S')
data = data.reset_index().to_json(orient="records")
else:
# No data
data = '[]'
# Inject meta data
meta = {}
meta['generated'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
meta['stations'] = location.stations.to_list()
# Generate output string
output = f'''{{"meta":{json.dumps(meta)},"data":{data}}}'''
# Return
return utils.send_response(output, cache_time)
except BaseException:
# Bad request
abort(400)
else:
# Bad request
abort(400)
"""
Example: Aggregation
Meteorological data provided by Meteostat (https://dev.meteostat.net)
under the terms of the Creative Commons Attribution-NonCommercial
4.0 International Public License.
The code is licensed under the MIT license.
"""
from datetime import datetime
from meteostat import Stations, Hourly
# Hourly
stations = Stations()
stations = stations.id('wmo', '10637')
station = stations.fetch()
# Time period
start = datetime(2018, 1, 1)
end = datetime(2018, 1, 1, 23, 59)
# Get hourly data & aggregate
data = Hourly(station, start, end)
data = data.aggregate('1D')
data = data.fetch()
# Print
print(data)