Reputation: 1523
I have a ctypes structure.
class S1 (ctypes.Structure):
_fields_ = [
('A', ctypes.c_uint16 * 10),
('B', ctypes.c_uint32),
('C', ctypes.c_uint32) ]
if I have X=S1(), I would like to return a dictionary out of this object: Example, if I do something like: Y = X.getdict() or Y = getdict(X), then Y might look like:
{ 'A': [1,2,3,4,5,6,7,8,9,0],
'B': 56,
'C': 8986 }
Any help ?
Upvotes: 16
Views: 10087
Reputation: 698
In case you have arrays in fields, I extended llasram's answer:
class SerializableStruct(ctypes.Structure):
def getattr_dict(self, name):
def todict(a):
return a.to_dict() if isinstance(a, SerializableStruct) else a
attr = getattr(self, name)
if isinstance(attr, ctypes.Array):
return [todict(attr[i]) for i in range(len(attr))]
return todict(attr)
def to_dict(self):
return dict((f, self.getattr_dict(f)) for f, _ in self._fields_)
You need to subclass SerializableStruct
rather than ctypes.Structure
while declaring your custom data types.
Upvotes: 0
Reputation: 4475
How about something like:
class S1(ctypes.Structure):
_fields_ = [ ... ]
def getdict(self):
return dict((f, getattr(self, f)) for f, _ in self._fields_)
Upvotes: 2
Reputation: 721
A little bit more general purpose to handle double arrays, and arrays of structures, and bitfields.
def getdict(struct):
result = {}
#print struct
def get_value(value):
if (type(value) not in [int, float, bool]) and not bool(value):
# it's a null pointer
value = None
elif hasattr(value, "_length_") and hasattr(value, "_type_"):
# Probably an array
#print value
value = get_array(value)
elif hasattr(value, "_fields_"):
# Probably another struct
value = getdict(value)
return value
def get_array(array):
ar = []
for value in array:
value = get_value(value)
ar.append(value)
return ar
for f in struct._fields_:
field = f[0]
value = getattr(struct, field)
# if the type is not a primitive and it evaluates to False ...
value = get_value(value)
result[field] = value
return result
Upvotes: 3
Reputation: 48071
Probably something like this:
def getdict(struct):
return dict((field, getattr(struct, field)) for field, _ in struct._fields_)
>>> x = S1()
>>> getdict(x)
{'A': <__main__.c_ushort_Array_10 object at 0x100490680>, 'C': 0L, 'B': 0L}
As you can see, it works with numbers but it doesn't work as nicely with arrays -- you will have to take care of converting arrays to lists yourself. A more sophisticated version that tries to convert arrays is as follows:
def getdict(struct):
result = {}
for field, _ in struct._fields_:
value = getattr(struct, field)
# if the type is not a primitive and it evaluates to False ...
if (type(value) not in [int, long, float, bool]) and not bool(value):
# it's a null pointer
value = None
elif hasattr(value, "_length_") and hasattr(value, "_type_"):
# Probably an array
value = list(value)
elif hasattr(value, "_fields_"):
# Probably another struct
value = getdict(value)
result[field] = value
return result
If you have numpy
and want to be able to handle multidimensional C arrays, you should add import numpy as np
and change:
value = list(value)
to:
value = np.ctypeslib.as_array(value).tolist()
This will give you a nested list.
Upvotes: 13