""" PEP 0484 ( https://www.python.org/dev/peps/pep-0484/ ) describes type hints through function annotations. There is a strong suggestion in this document that only the type of type hinting defined in PEP0484 should be allowed as annotations in future python versions. The (initial / probably incomplete) implementation todo list for pep-0484: v Function parameter annotations with builtin/custom type classes v Function returntype annotations with builtin/custom type classes v Function parameter annotations with strings (forward reference) v Function return type annotations with strings (forward reference) x Local variable type hints v Assigned types: `Url = str\ndef get(url:Url) -> str:` x Type hints in `with` statements x Stub files support x support `@no_type_check` and `@no_type_check_decorator` x support for type hint comments `# type: (int, str) -> int`. See comment from Guido https://github.com/davidhalter/jedi/issues/662 """ from itertools import chain import os from jedi.parser import \ Parser, load_grammar, ParseError, tree, ParserWithRecovery from jedi.evaluate.cache import memoize_default from jedi.evaluate import compiled from jedi import debug def _evaluate_for_annotation(evaluator, annotation): if annotation is not None: definitions = set() for definition in evaluator.eval_element(annotation): if (isinstance(definition, compiled.CompiledObject) and isinstance(definition.obj, str)): try: p = Parser( load_grammar(), definition.obj, start='eval_input') element = p.get_parsed_node() except ParseError: debug.warning('Annotation not parsed: %s' % definition.obj) else: module = annotation.get_parent_until() p.position_modifier.line = module.end_pos[0] element.parent = module definitions |= evaluator.eval_element(element) else: definitions.add(definition) return list(chain.from_iterable( evaluator.execute(d) for d in definitions)) else: return [] @memoize_default(None, evaluator_is_first_arg=True) def follow_param(evaluator, param): annotation = param.annotation() return _evaluate_for_annotation(evaluator, annotation) @memoize_default(None, evaluator_is_first_arg=True) def find_return_types(evaluator, func): annotation = func.py__annotations__().get("return", None) return _evaluate_for_annotation(evaluator, annotation) # TODO: Memoize def get_typing_replacement_module(): """ The idea is to return our jedi replacement for the PEP-0484 typing module as discussed at https://github.com/davidhalter/jedi/issues/663 """ typing_path = os.path.abspath(os.path.join(__file__, "../jedi_typing.py")) with open(typing_path) as f: code = f.read() p = ParserWithRecovery(load_grammar(), code) return p.module def get_types_for_typing_module(evaluator, typ, index): from jedi.evaluate.representation import Class if not typ.base.get_parent_until(tree.Module).name.value == "typing": return None # we assume that any class using [] in a module called # "typing" with a name for which we have a replacement # should be replaced by that class. This is not 100% # airtight but I don't have a better idea to check that it's # actually the PEP-0484 typing module and not some other typing = get_typing_replacement_module() factories = evaluator.find_types(typing, "factory") assert len(factories) == 1 factory = list(factories)[0] assert factory compiled_classname = compiled.create(evaluator, typ.name.value) if isinstance(index, Class): index_obj = index else: index_obj = compiled.create(evaluator, index) result = \ evaluator.execute_evaluated(factory, compiled_classname, index_obj) if result: return result else: return None