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- import functools
- from collections import namedtuple
-
-
- def make_model_tuple(model):
- """
- Take a model or a string of the form "app_label.ModelName" and return a
- corresponding ("app_label", "modelname") tuple. If a tuple is passed in,
- assume it's a valid model tuple already and return it unchanged.
- """
- try:
- if isinstance(model, tuple):
- model_tuple = model
- elif isinstance(model, str):
- app_label, model_name = model.split(".")
- model_tuple = app_label, model_name.lower()
- else:
- model_tuple = model._meta.app_label, model._meta.model_name
- assert len(model_tuple) == 2
- return model_tuple
- except (ValueError, AssertionError):
- raise ValueError(
- "Invalid model reference '%s'. String model references "
- "must be of the form 'app_label.ModelName'." % model
- )
-
-
- def resolve_callables(mapping):
- """
- Generate key/value pairs for the given mapping where the values are
- evaluated if they're callable.
- """
- for k, v in mapping.items():
- yield k, v() if callable(v) else v
-
-
- def unpickle_named_row(names, values):
- return create_namedtuple_class(*names)(*values)
-
-
- @functools.lru_cache
- def create_namedtuple_class(*names):
- # Cache type() with @lru_cache since it's too slow to be called for every
- # QuerySet evaluation.
- def __reduce__(self):
- return unpickle_named_row, (names, tuple(self))
-
- return type(
- "Row",
- (namedtuple("Row", names),),
- {"__reduce__": __reduce__, "__slots__": ()},
- )
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