def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([("Content-description", "dods_form"), ("Content-type", "text/html; charset=utf-8")])
# our default environment; we need to include the base template from
# pydap as well since our template extends it
self.loaders = [PackageLoader("pydap.responses.html", "templates"), PackageLoader("pydap.wsgi", "templates")]
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([('Content-description', 'dods_data'),
('Content-type', 'application/octet-stream')])
length = calculate_size(dataset)
if length is not None:
self.headers.append(('Content-length', str(length)))
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_matlab'),
('Content-type', 'application/x-matlab'),
#('Content-description', 'dods_matlab'),
#('Content-type', 'text/plain; charset=ascii'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([('Content-description', 'dods_data'),
('Content-type', 'application/octet-stream')])
length = calculate_size(dataset)
if length is not None:
self.headers.append(('Content-length', str(length)))
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_dds'),
('Content-type', 'text/plain; charset=utf-8'),
# CORS
('Access-Control-Allow-Origin', '*'),
('Access-Control-Allow-Headers',
'Origin, X-Requested-With, Content-Type'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
("Content-description", "dods_form"),
("Content-type", "text/plain; charset=utf-8"),
])
# our default environment;
self.loaders = [
PackageLoader("pydap.responses.html", "templates"),
]
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
("Content-description", "dods_form"),
("Content-type", "text/plain; charset=utf-8"),
])
# our default environment;
self.loaders = [
PackageLoader("pydap.responses.html", "templates"),
]
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
("Content-description", "dods_form"),
("Content-type", "text/html; charset=utf-8"),
])
# our default environment; we need to include the base template from
# pydap as well since our template extends it
self.loaders = [
PackageLoader("pydap.responses.html", "templates"),
PackageLoader("pydap.wsgi", "templates"),
]
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_data'),
('Content-type', 'application/octet-stream'),
# CORS
('Access-Control-Allow-Origin', '*'),
('Access-Control-Allow-Headers',
'Origin, X-Requested-With, Content-Type'),
])
length = calculate_size(dataset)
if length is not None:
self.headers.append(('Content-length', length))
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_netcdf'),
('Content-type', 'application/x-netcdf'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.append(('Content-type', 'application/json'))
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_xls'),
('Content-type', 'application/vnd.ms-excel'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-type', 'text/html; charset=utf-8'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([("Content-description", "dods_dds"), ("Content-type", "text/plain; charset=utf-8")])
def __init__(self, dataset=None):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_help'),
('Content-type', 'text/html'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-type', 'text/html; charset=utf-8'),
])
def __init__(self, dataset, request=None):
BaseResponse.__init__(self, dataset, request)
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([("Content-description", "dods_form"), ("Content-type", "text/html")])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_xlsx'),
('Content-type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([("Content-description", "dods_xls"), ("Content-type", "application/vnd.ms-excel")])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.nc = netcdf_file(None)
if 'NC_GLOBAL' in self.dataset.attributes:
self.nc._attributes.update(self.dataset.attributes['NC_GLOBAL'])
dimensions = [var.dimensions for var in walk(self.dataset) if isinstance(var, BaseType)]
dimensions = set(reduce(lambda x, y: x+y, dimensions))
try:
unlim_dim = self.dataset.attributes['DODS_EXTRA']['Unlimited_Dimension']
except:
unlim_dim = None
# GridType
for grid in walk(dataset, GridType):
# add dimensions
for dim, map_ in grid.maps.items():
if dim in self.nc.dimensions:
continue
n = None if dim == unlim_dim else grid[dim].data.shape[0]
self.nc.createDimension(dim, n)
if not n:
self.nc.set_numrecs(grid[dim].data.shape[0])
var = grid[dim]
# and add dimension variable
self.nc.createVariable(dim, var.dtype.char, (dim,), attributes=var.attributes)
# finally add the grid variable itself
base_var = grid[grid.name]
var = self.nc.createVariable(base_var.name, base_var.dtype.char, base_var.dimensions, attributes=base_var.attributes)
# Sequence types!
for seq in walk(dataset, SequenceType):
self.nc.createDimension(seq.name, None)
try:
n = len(seq)
except TypeError:
# FIXME: materializing and iterating through a sequence to find the length
# could have performance problems and could potentially consume the iterable
# Do lots of testing here and determine the result of not calling set_numrecs()
n = len( [ x for x in seq[seq.keys()[0]] ])
self.nc.set_numrecs(n)
dim = seq.name,
for child in seq.children():
dtype = child.dtype
# netcdf does not have a date type, so remap to float
if dtype == np.dtype('datetime64'):
dtype = np.dtype('float32')
elif dtype == np.dtype('object'):
raise TypeError("Don't know how to handle numpy type {0}".format(dtype))
var = self.nc.createVariable(child.name, dtype.char, dim, attributes=child.attributes)
self.headers.extend([
('Content-type', 'application/x-netcdf')
])
# Optionally set the filesize header if possible
try:
self.headers.extend([('Content-length', self.nc.filesize)])
except ValueError:
pass
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.append( ('Content-description', 'dods_wms') )
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_ascii'),
('Content-type', 'text/plain'),
])
def __init__(self, dataset=None):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_version'),
('Content-type', 'text/plain'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.append(('Content-description', 'dods_wms'))
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.headers.extend([
('Content-description', 'dods_dds'),
('Content-type', 'text/plain; charset=utf-8'),
])
def __init__(self, dataset):
BaseResponse.__init__(self, dataset)
self.nc = netcdf_file(None)
if 'NC_GLOBAL' in self.dataset.attributes:
self.nc._attributes.update(self.dataset.attributes['NC_GLOBAL'])
dimensions = [
var.dimensions for var in walk(self.dataset)
if isinstance(var, BaseType)
]
dimensions = set(reduce(lambda x, y: x + y, dimensions))
try:
unlim_dim = self.dataset.attributes['DODS_EXTRA'][
'Unlimited_Dimension']
except:
unlim_dim = None
# GridType
for grid in walk(dataset, GridType):
# add dimensions
for dim, map_ in grid.maps.items():
if dim in self.nc.dimensions:
continue
n = None if dim == unlim_dim else grid[dim].data.shape[0]
self.nc.createDimension(dim, n)
if not n:
self.nc.set_numrecs(grid[dim].data.shape[0])
var = grid[dim]
# and add dimension variable
self.nc.createVariable(dim,
var.dtype.char, (dim, ),
attributes=var.attributes)
# finally add the grid variable itself
base_var = grid[grid.name]
var = self.nc.createVariable(base_var.name,
base_var.dtype.char,
base_var.dimensions,
attributes=base_var.attributes)
# Sequence types!
for seq in walk(dataset, SequenceType):
self.nc.createDimension(seq.name, None)
try:
n = len(seq)
except TypeError:
# FIXME: materializing and iterating through a sequence to find the length
# could have performance problems and could potentially consume the iterable
# Do lots of testing here and determine the result of not calling set_numrecs()
n = len([x for x in seq[seq.keys()[0]]])
self.nc.set_numrecs(n)
dim = seq.name,
for child in seq.children():
dtype = child.dtype
# netcdf does not have a date type, so remap to float
if dtype == np.dtype('datetime64'):
dtype = np.dtype('float32')
elif dtype == np.dtype('object'):
raise TypeError(
"Don't know how to handle numpy type {0}".format(
dtype))
var = self.nc.createVariable(child.name,
dtype.char,
dim,
attributes=child.attributes)
self.headers.extend([('Content-type', 'application/x-netcdf')])
# Optionally set the filesize header if possible
try:
self.headers.extend([('Content-length', self.nc.filesize)])
except ValueError:
pass
