class widget(object):
def setValue(self, name, value):
if value is None:
value = ''
elif not isinstance(value, str):
value = str(value)
try:
self._hdf.setValue(name, value)
except AttributeError:
self._hdf = HDF()
self._hdf.setValue(name, value)
def render_cs(self, fileType, fileName = None):
if fileName is None:
fileName = type(self).__name__
path = '{0}/templates/{1}.{2}'.format(
web.ctx.path, fileName, fileType)
if not isfile(path):
return None
cs = CS(self._hdf)
cs.parseFile(path)
return cs.render()
def render(self, fileName = None):
self.setValue('Script.Name', web.ctx.script_name)
js = self.render_cs('js', fileName)
css = self.render_cs('css', fileName)
html = self.render_cs('html', fileName)
return (js, css, html)
def hdf2dict(hdf_as_str):
"""
Usage
>>> json_data = hdf2json('''artists {
... 0 {
... name = Persuader, The
... }
... }
... title = Stockholm
... labels {
... 0 {
... name = Svek
... catno = SK032
... }
... }''')
"""
if not isinstance(hdf_as_str, basestring):
raise ValueError('argument must be a string')
hdf_obj = HDF()
hdf_obj.readString(hdf_as_str)
node = hdf_obj
def traverse_node(node):
dict_part = {}
list_part = []
while node and node.name().isdigit():
if node.value():
list_part.append(node.value())
else:
list_part.append(traverse_node(node.child()))
node = node.next()
if list_part:
return list_part
while node:
if node.value() is not None and not node.child():
val = node.value()
dict_part[node.name()] = val
else:
dict_part[node.name()] = traverse_node(node.child())
node = node.next()
return dict_part
return traverse_node(node.child())
def setValue(self, name, value):
if value is None:
value = ''
elif not isinstance(value, str):
value = str(value)
try:
self._hdf.setValue(name, value)
except AttributeError:
self._hdf = HDF()
self._hdf.setValue(name, value)
def pyobj_to_hdf(pyobj, hdf=None):
def make_key(lst):
return '.'.join([str(i) for i in lst])
def process_value(value, current_key, hdf):
if isinstance(value, list):
for idx, item in enumerate(value):
process_value(item, current_key + [idx], hdf)
elif isinstance(value, dict):
for key, item in value.iteritems():
process_value(item, current_key + [key], hdf)
elif isinstance(value, str):
hdf.setValue(make_key(current_key), value)
else:
hdf.setValue(make_key(current_key), str(value))
if not hdf:
hdf = HDF()
process_value(pyobj, [], hdf)
return hdf
def hdfFromKwargs(hdf=None, **kwargs):
"""If given an instance that has toHDF() method that method is invoked to get that object's HDF representation"""
if not hdf:
hdf = HDF()
for key, value in kwargs.iteritems():
if isinstance(value, dict):
#print "dict:",value
for k,v in value.iteritems():
dkey = "%s.%s"%(key,k)
#print "k,v,dkey:",k,v,dkey
args = {dkey:v}
hdfFromKwargs(hdf=hdf, **args)
elif isinstance(value, (list, tuple)):
#print "list:",value
for i, item in enumerate(value):
ikey = "%s.%s"%(key,i)
#print "i,item:",i,item, ikey
if isinstance(item, (list, tuple)):
args = {ikey:item}
hdfFromKwargs(hdf=hdf, **args)
elif isinstance(item, dict):
args = {ikey:item}
hdfFromKwargs(hdf=hdf, **args)
elif getattr(item, "HDF_ATTRIBUTES", False):
attrs = {}
for attr in item.HDF_ATTRIBUTES:
attrs[attr] = getattr(item, attr, "")
hdfFromKwargs(hdf=hdf, **{ikey:attrs})
else:
hdf.setValue(ikey, str(item))
elif getattr(value, "HDF_ATTRIBUTES", False):
attrs = {}
for attr in value.HDF_ATTRIBUTES:
attrs[attr] = getattr(value, attr, "")
hdfFromKwargs(hdf=hdf, **{key:attrs})
else:
hdf.setValue(key, str(value))
#print "HDF:",hdf.dump()
return hdf