def test_utils(self):
conv = value.String()
conv2 = typecast.converter('string')
assert type(conv2) == type(conv), \
typecast.converter('string')
assert typecast.cast('string', 'foo') == 'foo'
assert typecast.stringify('number', 7) == '7'
def test_utils(self):
conv = value.String()
conv2 = typecast.converter('string')
assert type(conv2) == type(conv), \
typecast.converter('string')
assert typecast.cast('string', 'foo') == 'foo'
assert typecast.stringify('number', 7) == '7'
def flatten_value(mapping, bind):
""" Return a value to its original column. """
type_name = get_type(bind)
value = bind.data
try:
value = typecast.stringify(type_name, value)
except typecast.ConverterError:
pass
name = mapping.get('columns', [mapping.get('column')])[0]
name = mapping.get('dump', name)
return name, value
def triplify(self, data, parent=None):
""" Recursively generate statements from the data supplied. """
if data is None:
return
if self.is_object:
for res in self._triplify_object(data, parent):
yield res
elif self.is_array:
for item in data:
for res in self.items.triplify(item, parent):
yield res
else:
# TODO: figure out if I ever want to check for reverse here.
type_name = typecast.name(data)
obj = typecast.stringify(type_name, data)
if obj is not None:
obj = obj.strip()
yield (parent, self.predicate, obj, type_name)
def triplify(self, data, parent=None):
""" Recursively generate statements from the data supplied. """
if data is None:
return
if self.is_object:
for res in self._triplify_object(data, parent):
yield res
elif self.is_array:
for item in data:
for res in self.items.triplify(item, parent):
yield res
else:
# TODO: figure out if I ever want to check for reverse here.
type_name = typecast.name(data)
obj = typecast.stringify(type_name, data)
if obj is not None:
obj = obj.strip()
yield (parent, self.predicate, obj, type_name)
