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© 2006-2015 Andrew Cooke (site) / post authors (content).

Dynamic Dispatch in Python

From: andrew cooke <andrew@...>

Date: Mon, 9 May 2011 17:51:36 -0400

This is an example of how the pytyp type library can be useful.  It's a piece
of code from another part of the pytyp library that rewrites JSON data as
Python classes.

IMPORTANT: I don't expect anyone to understand the code below.  That's not the
point!  Please read on to see what the point is...

The code below is a complex function.  It contains a lot of logic for how to
rewrite different JSON objects.  Lists, for example, should be kept as lists,
but we need to rewrite the contents of the lists (so this rewriting function
needs to call itself recursively).

Hash maps (dicts), however, may be rewritten as Python classes.  That's the
"useful" part of this particular library - it simplifies Python code that
works with JSON.  So when this function finds a dict it needs to compare it
with the specification that the user has entered and do something useful (in
simple terms you can say to the routine "at this point in the JSON data,
convert the data into a class Foo", for example).

Hang on - we're almost at the clever bit...

So this is a complicated function that has to do different things when working
on different types.  Typically in Python you handle a case like this by having
a set of subclasses that all implement the same interface.  And then the
correct action is taken when you call the method on a certain instance.

That's normal OO dispatch - you're chosing a particular method based on the
type of an object.

What pytyp adds here is the ability to dispatch on other function arguments,
instead of "the object before the dot".  So in the call:

   my_function(bar, baz)

you can call different functions depending on the type of baz!  For example:

  my_function(bar, 2)  =>  my_int_function(bar, 2)

  my_function(bar, 'two')  =>  my_str_function(bar, 'two')

When that's applied to this complicated function used to rewrite JSON it lets
us separate out the "routing", which depends on the type of the data, so that
different types are handled by different methods:


  class Transcode:

      @overload
      def __call__(self, value, spec):
	  if isinstance(value, spec):
	      return value
	  else:
	      type_error(value, spec)

      @__call__.intercept
      def map_instance(self, value:Mapping, spec:Sub(Ins)):
	  (varargs, varkw, dict_spec) = class_to_dict_spec(spec)
	  new_value = transcode(value, dict_spec)
	  args = new_value.pop(Rec.OptKey(varargs), []) if varargs else []
	  kargs = new_value.pop(Rec.OptKey(varkw), {}) if varkw else {}
	  args.extend(new_value.pop(index) 
		      for index in sorted(key 
			  for key in new_value.keys() 
			  if isinstance(Rec.OptKey.unpack(key), int)))
	  kargs.update((Rec.OptKey.unpack(key), value) 
		       for (key, value) in new_value.items())    
	  return spec._abc_class(*args, **kargs)

      @__call__.intercept
      def other_instance(self, value, spec:Sub(Ins)):
	  if isinstance(value, spec):
	      return value
	  else:
	      type_error(value, spec)

      @__call__.intercept
      def sequence(self, value, spec:Sub(Seq)):
	  return list(spec._for_each(value, lambda c, vsn: (transcode(v, s) for (v, s, n) in vsn)))

      @__call__.intercept
      def record(self, value, spec:Sub(Rec)):
	  if spec._int_keys():
	      return tuple(spec._for_each(value, 
			  lambda c, vsn: (transcode(v, s) 
					  for (v, s, n) in sorted(vsn, 
					      key=lambda vsn: Rec.OptKey.unpack(vsn[2])))))
	  else:
	      return dict(spec._for_each(value, 
			  lambda c, vsn: ((n, transcode(v, s)) for (v, s, n) in vsn)))

      @__call__.intercept
      def alternative(self, value, spec:Sub(Alt)):
	  def alt(c, vsn):
	      error = None
	      for (v, s, _) in vsn:
		  try:
		      return transcode(v, s)
		  except TypeError as e:
		      error = e
	      raise error
	  print(spec, 'is alt!', value)
	  return spec._for_each(value, alt)

  transcode = Transcode()


As I said, you don't need to understand all that.  All you need to see is that
when you call the transcode() function, what is actually called can be any of
those methods above.  The method Transcode.sequence() handles lists of data,
while the method Transcode.map_instance() is the "core" that rewrites maps as
instance of particular classes.  And the method Transcode.__call__() is the
default method that's called if none of the other, specialised methods match
up with the specifications.

Andrew

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