def dap_msg2ds(msg):
"""
@Brief Convert dap encoded message content in a dictionary to a pydap dataset object.
"""
dataset = DDSParser(msg.dds).parse()
dataset = DASParser(msg.das, dataset).parse()
if msg.dods:
# This block is from open_dods in client.py
dataset.data = DapUnpacker(base64.b64decode(msg.dods), dataset).getvalue()
#dataset.data = DapUnpacker(msg.dods, dataset).getvalue()
return dataset
def dap_msg2ds(msg):
"""
@Brief Convert dap encoded message content in a dictionary to a pydap dataset object.
"""
dataset = DDSParser(msg.dds).parse()
dataset = DASParser(msg.das, dataset).parse()
if msg.dods:
# This block is from open_dods in client.py
dataset.data = DapUnpacker(base64.b64decode(msg.dods),
dataset).getvalue()
#dataset.data = DapUnpacker(msg.dods, dataset).getvalue()
return dataset
def open_dods(url, get_metadata=False):
"""
Download data from a DODS response and build a dataset.
This function is useful to open "raw" URLs.
"""
resp, data = request(url)
dds, xdrdata = data.split('\nData:\n', 1)
dataset = DDSParser(dds).parse()
dataset.data = DapUnpacker(xdrdata, dataset).getvalue()
if get_metadata:
scheme, netloc, path, query, fragment = urlsplit(url)
dasurl = urlunsplit(
(scheme, netloc, path[:-5] + '.das', query, fragment))
resp, das = request(dasurl)
dataset = DASParser(das, dataset).parse()
return dataset
def __iter__(self):
scheme, netloc, path, query, fragment = urlsplit(self.url)
id_ = ','.join('%s.%s' % (self.id, child) for child in self.children) or self.id
url = urlunsplit((
scheme, netloc, path + '.dods',
quote(id_) + hyperslab(self._slice) + '&' + query,
fragment))
resp, data = request(url)
dds, xdrdata = data.split('\nData:\n', 1)
dataset = DDSParser(dds).parse()
dataset.data = DapUnpacker(xdrdata, dataset).getvalue()
dataset._set_id()
# Strip any projections from the request id.
id_ = re.sub('\[.*?\]', '', self.id)
# And return the proper data.
for var in walk(dataset):
if var.id == id_:
data = var.data
if isinstance(var, SequenceType):
order = [var.keys().index(k) for k in self.children]
data = reorder(order, data, var._nesting_level)
return iter(data)
def __iter__(self):
scheme, netloc, path, query, fragment = urlsplit(self.url)
id_ = ','.join('%s.%s' % (self.id, child)
for child in self.children) or self.id
url = urlunsplit(
(scheme, netloc, path + '.dods',
id_ + hyperslab(self._slice) + '&' + query, fragment))
resp, data = request(url)
dds, xdrdata = data.split('\nData:\n', 1)
dataset = DDSParser(dds).parse()
dataset.data = DapUnpacker(xdrdata, dataset).getvalue()
dataset._set_id()
# Strip any projections from the request id.
id_ = re.sub('\[.*?\]', '', self.id)
# And return the proper data.
for var in walk(dataset):
if var.id == id_:
data = var.data
if isinstance(var, SequenceType):
order = [var.keys().index(k) for k in self.children]
data = reorder(order, data, var._nesting_level)
return iter(data)
