def parse_gridded_request(request):
"""
Parses a request for a gridded forecast.
"""
# takes the first 4 '|' separated fields, if fewer than
# k exist the missing fields are replaced with None
model_domain, grid_str, hours_str, variables = split_fields(request, 4)
model, domain_str = model_domain.split(':')
# parse the domain and make sure its ok
domain = utils.parse_domain(domain_str)
# parse the grid_string
resol = utils.parse_resolution(grid_str)
# parse the hours string
hours = utils.parse_hours(hours_str)
# check the variables
if variables is None:
variables = []
else:
variables = variables.split(',')
variables = utils.validate_variables(variables)
return {'type': 'gridded',
'model': model.lower().strip(),
'domain': domain,
'resolution': resol,
'hours': hours,
'variables': variables}
def normalize(zygrib_query):
# turn days/hours into hours
hour_resolution = zygrib_query.pop('hours')
days = zygrib_query.pop('days')
hours = np.arange(0., days * 24. + hour_resolution, hour_resolution)
zygrib_query['hours'] = hours
zygrib_query['type'] = 'gridded'
model = zygrib_query.get('model', None)
zygrib_query['model'] = utils.validate_model(model)
variables = utils.validate_variables(zygrib_query.get('variables', []))
zygrib_query['variables'] = variables
return zygrib_query
model = 'gefs'
location = utils.parse_location(location_str)
# default to 4 days every three hours
time_str = time_str or '5,6'
# First try parsing the format `days,period`
try:
hours = utils.parse_times(time_str)
except ValueError, e:
# if that fails try the gridded format `hour0,hour1,...,hourn`
hours = utils.parse_hours(time_str)
if variables is None:
variables = []
else:
variables = variables.split(',')
variables = utils.validate_variables(variables)
send_image = image is not None
return {'type': 'spot',
'model': model,
'location': location,
'hours': hours,
'variables': variables,
'send-image': send_image}
def parse_send_request(body):
"""
Parses the a saildoc-like send request and returns
a dictionary of attributes from the query.
