def test_calling_back():
"""Calling unstructure_attrs_asdict from a hook should not override a manual hook."""
converter = Converter()
@attr.define
class C:
a: int = attr.ib(default=1)
def handler(obj):
return {
"type_tag": obj.__class__.__name__,
**converter.unstructure_attrs_asdict(obj),
}
converter.register_unstructure_hook(C, handler)
inst = C()
expected = {"type_tag": "C", "a": 1}
unstructured1 = converter.unstructure(inst)
unstructured2 = converter.unstructure(inst)
assert unstructured1 == expected, repr(unstructured1)
assert unstructured2 == unstructured1, repr(unstructured2)
def test_simple_roundtrip(cls_and_vals, strat):
"""
Simple classes with metadata can be unstructured and restructured.
"""
converter = Converter(unstruct_strat=strat)
cl, vals = cls_and_vals
inst = cl(*vals)
assert inst == converter.structure(converter.unstructure(inst), cl)
def test_simple_recursive():
c = GenConverter()
orig = A([A([])])
unstructured = c.unstructure(orig)
assert unstructured == {"inner": [{"inner": []}]}
assert c.structure(unstructured, A) == orig
def test_nested_roundtrip(cls_and_vals, strat):
"""
Nested classes with metadata can be unstructured and restructured.
"""
converter = Converter(unstruct_strat=strat)
cl, vals = cls_and_vals
# Vals are a tuple, convert into a dictionary.
inst = cl(*vals)
assert inst == converter.structure(converter.unstructure(inst), cl)
def test_simple_roundtrip_with_extra_keys_forbidden(cls_and_vals, strat):
"""
Simple classes can be unstructured and restructured with forbid_extra_keys=True.
"""
converter = Converter(unstruct_strat=strat, forbid_extra_keys=True)
cl, vals = cls_and_vals
inst = cl(*vals)
unstructured = converter.unstructure(inst)
assert "Hyp" not in repr(unstructured)
assert inst == converter.structure(unstructured, cl)
def test_union_field_roundtrip(cl_and_vals_a, cl_and_vals_b, strat):
"""
Classes with union fields can be unstructured and structured.
"""
converter = Converter(unstruct_strat=strat)
cl_a, vals_a = cl_and_vals_a
cl_b, vals_b = cl_and_vals_b
a_field_names = {a.name for a in fields(cl_a)}
b_field_names = {a.name for a in fields(cl_b)}
assume(a_field_names)
assume(b_field_names)
common_names = a_field_names & b_field_names
assume(len(a_field_names) > len(common_names))
@attr.s
class C(object):
a = attr.ib(type=Union[cl_a, cl_b])
inst = C(a=cl_a(*vals_a))
if strat is UnstructureStrategy.AS_DICT:
assert inst == converter.structure(converter.unstructure(inst), C)
else:
# Our disambiguation functions only support dictionaries for now.
with pytest.raises(ValueError):
converter.structure(converter.unstructure(inst), C)
def handler(obj, _):
return converter.structure(obj, cl_a)
converter._union_registry[Union[cl_a, cl_b]] = handler
assert inst == converter.structure(converter.unstructure(inst), C)
del converter._union_registry[Union[cl_a, cl_b]]
def test_structure_linecache():
"""Linecaching for structuring should work."""
@define
class A:
a: int
c = GenConverter()
try:
c.structure({"a": "test"}, A)
except ValueError:
res = format_exc()
assert "'a'" in res
def test_forbid_extra_keys_defaults(attr_and_vals):
"""
Restructuring fails when a dict key is renamed (if forbid_extra_keys set)
"""
a, _ = attr_and_vals
cl = make_class("HypClass", {"a": a})
converter = Converter(forbid_extra_keys=True)
inst = cl()
unstructured = converter.unstructure(inst)
unstructured["aa"] = unstructured.pop("a")
with pytest.raises(Exception):
converter.structure(unstructured, cl)
def _structure(data: dict[str, Any], cls: Type[Layer],
converter: GenConverter) -> Layer:
return cls(
name=data.get("name", DEFAULT_LAYER_NAME),
glyphs={
k: converter.structure(v, Glyph)
for k, v in data.get("glyphs", {}).items()
},
color=data.get("color"),
lib=converter.structure(data.get("lib", {}), Lib),
default=data.get("default", False),
)
def test_forbid_extra_keys(cls_and_vals):
"""
Restructuring fails when extra keys are present (when configured)
"""
converter = Converter(forbid_extra_keys=True)
cl, vals = cls_and_vals
inst = cl(*vals)
unstructured = converter.unstructure(inst)
bad_key = list(unstructured)[0] + "A" if unstructured else "Hyp"
while bad_key in unstructured:
bad_key += "A"
unstructured[bad_key] = 1
with pytest.raises(Exception):
converter.structure(unstructured, cl)
def test_unstructure_linecache():
"""Linecaching for unstructuring should work."""
@define
class Inner:
a: int
@define
class Outer:
inner: Inner
c = GenConverter()
try:
c.unstructure(Outer({}))
except AttributeError:
res = format_exc()
assert "'a'" in res
def _unstructure_data(value: Any, converter: GenConverter) -> Any:
if isinstance(value, bytes):
return {"type": DATA_LIB_KEY, "data": converter.unstructure(value)}
elif isinstance(value, (list, tuple)):
return [_unstructure_data(v, converter) for v in value]
elif isinstance(value, Mapping):
return {k: _unstructure_data(v, converter) for k, v in value.items()}
return value
def test_annotated_attrs():
"""Annotation support works for attrs classes."""
from typing import Annotated
converter = Converter()
@attr.define
class Inner:
a: int
@attr.define
class Outer:
i: Annotated[Inner, "test"]
j: list[Annotated[Inner, "test"]]
orig = Outer(Inner(1), [Inner(1)])
raw = converter.unstructure(orig)
assert raw == {"i": {"a": 1}, "j": [{"a": 1}]}
structured = converter.structure(raw, Outer)
assert structured == orig
# Now register a hook and rerun the test.
converter.register_unstructure_hook(Inner, lambda v: {"a": 2})
raw = converter.unstructure(Outer(Inner(1), [Inner(1)]))
assert raw == {"i": {"a": 2}, "j": [{"a": 2}]}
structured = converter.structure(raw, Outer)
assert structured == Outer(Inner(2), [Inner(2)])
def test_optional_field_roundtrip(cl_and_vals):
"""
Classes with optional fields can be unstructured and structured.
"""
converter = Converter()
cl, vals = cl_and_vals
@attr.s
class C(object):
a = attr.ib(type=Optional[cl])
inst = C(a=cl(*vals))
assert inst == converter.structure(converter.unstructure(inst), C)
inst = C(a=None)
unstructured = converter.unstructure(inst)
assert inst == converter.structure(unstructured, C)
def test_type_overrides(cl_and_vals):
"""
Type overrides on the GenConverter work.
"""
converter = Converter(type_overrides={int: override(omit_if_default=True)})
cl, vals = cl_and_vals
inst = cl(*vals)
unstructured = converter.unstructure(inst)
for field, val in zip(fields(cl), vals):
if field.type is int:
if field.default is not None:
if isinstance(field.default, Factory):
if not field.default.takes_self and field.default() == val:
assert field.name not in unstructured
elif field.default == val:
assert field.name not in unstructured
def _unstructure(self, converter: GenConverter) -> dict[str, Any]:
# avoid encoding if converter supports bytes natively
test = converter.unstructure(b"\0")
if isinstance(test, bytes):
return dict(self)
elif not isinstance(test, str):
raise NotImplementedError(type(test))
data: dict[str, Any] = _unstructure_data(self, converter)
return data
def _unstructure(self, converter: GenConverter) -> dict[str, str]:
# avoid encoding if converter supports bytes natively
test = converter.unstructure(b"\0")
if isinstance(test, bytes):
# mypy complains that 'Argument 1 to "dict" has incompatible type
# "DataStore"; expected "SupportsKeysAndGetItem[str, Dict[str, str]]"'.
# We _are_ a subclass of Mapping so we do support keys and getitem...
return dict(self) # type: ignore
elif not isinstance(test, str):
raise NotImplementedError(type(test))
data: dict[str, str] = {
k: converter.unstructure(v)
for k, v in self.items()
}
# since we unpacked all data by now, we're no longer lazy
if self._lazy:
self._lazy = False
return data
def test_seq_of_simple_classes_unstructure(cls_and_vals,
seq_type_and_annotation):
"""Dumping a sequence of primitives is a simple copy operation."""
converter = Converter()
test_val = ("test", 1)
for cl, _ in cls_and_vals:
converter.register_unstructure_hook(cl, lambda _: test_val)
break # Just register the first class.
seq_type, annotation = seq_type_and_annotation
inputs = seq_type(cl(*vals) for cl, vals in cls_and_vals)
outputs = converter.unstructure(
inputs,
unstructure_as=annotation[cl]
if annotation not in (Tuple, tuple) else annotation[cl, ...],
)
assert all(e == test_val for e in outputs)
def _structure_data_inplace(key: Union[int, str], value: Any, container: Any,
converter: GenConverter) -> None:
if isinstance(value, list):
for i, v in enumerate(value):
_structure_data_inplace(i, v, value, converter)
elif is_data_dict(value):
container[key] = converter.structure(value["data"], bytes)
elif isinstance(value, Mapping):
for k, v in value.items():
_structure_data_inplace(k, v, value, converter)
def test_39_structure_generics_with_cols(t, result):
@define
class GenericCols(Generic[T]):
a: T
b: list[T]
c: dict[str, T]
expected = GenericCols(*result)
res = GenConverter().structure(asdict(expected), GenericCols[t])
assert res == expected
def test_omit_default_roundtrip(cl_and_vals):
"""
Omit default on the converter works.
"""
converter = Converter(omit_if_default=True)
cl, vals = cl_and_vals
@attr.s
class C(object):
a: int = attr.ib(default=1)
b: cl = attr.ib(factory=lambda: cl(*vals))
inst = C()
unstructured = converter.unstructure(inst)
assert unstructured == {}
assert inst == converter.structure(unstructured, C)
inst = C(0)
unstructured = converter.unstructure(inst)
assert unstructured == {"a": 0}
assert inst == converter.structure(unstructured, C)
def test_unstructure_generic_attrs():
c = GenConverter()
@attrs(auto_attribs=True)
class Inner(Generic[T]):
a: T
@attrs(auto_attribs=True)
class Outer:
inner: Inner[int]
initial = Outer(Inner(1))
raw = c.unstructure(initial)
assert raw == {"inner": {"a": 1}}
new = c.structure(raw, Outer)
assert initial == new
@attrs(auto_attribs=True)
class OuterStr:
inner: Inner[str]
assert c.structure(raw, OuterStr) == OuterStr(Inner("1"))
def _structure(
data: Mapping[str, Any],
cls: Type[DataStore],
converter: GenConverter,
) -> DataStore:
self = cls()
for k, v in data.items():
if isinstance(v, str):
self[k] = converter.structure(v, bytes)
elif isinstance(v, bytes):
self[k] = v
else:
raise TypeError(
f"Expected (base64) str or bytes, found: {type(v).__name__!r}"
)
return self
def test_simple_roundtrip_defaults(cls_and_vals, strat):
"""
Simple classes with metadata can be unstructured and restructured.
"""
a, _ = cls_and_vals
cl = make_class("HypClass", {"a": a})
converter = Converter(unstruct_strat=strat)
inst = cl()
assert converter.unstructure(converter.structure(
{}, cl)) == converter.unstructure(inst)
assert inst == converter.structure(converter.unstructure(inst), cl)
def test_overriding_generated_unstructure():
"""Test overriding a generated unstructure hook works."""
converter = Converter()
@attr.define
class Inner:
a: int
@attr.define
class Outer:
i: Inner
inst = Outer(Inner(1))
converter.unstructure(inst)
converter.register_unstructure_hook(Inner, lambda _: {"a": 2})
r = converter.structure(converter.unstructure(inst), Outer)
assert r.i.a == 2
def test_overriding_generated_structure():
"""Test overriding a generated structure hook works."""
converter = Converter()
@attr.define
class Inner:
a: int
@attr.define
class Outer:
i: Inner
inst = Outer(Inner(1))
raw = converter.unstructure(inst)
converter.structure(raw, Outer)
converter.register_structure_hook(Inner, lambda p, _: Inner(p["a"] + 1))
r = converter.structure(raw, Outer)
assert r.i.a == 2
def _unstructure(self, converter: GenConverter) -> dict[str, Any]:
# omit glyph name attribute, already used as key
glyphs: dict[str, dict[str, Any]] = {}
for glyph_name in self._glyphs:
g = converter.unstructure(self[glyph_name])
assert glyph_name == g.pop("name")
glyphs[glyph_name] = g
d: dict[str, Any] = {
# never omit name even if == 'public.default' as that acts as
# the layer's "key" in the layerSet.
"name": self._name,
}
default: Any
for key, value, default in [
("default", self._default, self._name == DEFAULT_LAYER_NAME),
("glyphs", glyphs, {}),
("lib", self._lib, {}),
]:
if not converter.omit_if_default or value != default:
d[key] = value
if self.color is not None:
d["color"] = self.color
return d
def test_collection_unstructure_override_seq():
"""Test overriding unstructuring seq."""
# First approach, predicate hook
c = GenConverter()
c._unstructure_func.register_func_list([(
is_sequence,
partial(c.gen_unstructure_iterable, unstructure_to=tuple),
True,
)])
assert c.unstructure([1, 2, 3], unstructure_as=Sequence[int]) == (1, 2, 3)
@attr.define
class MyList:
args = attr.ib(converter=list)
# Second approach, using abc.MutableSequence
c = GenConverter(unstruct_collection_overrides={MutableSequence: MyList})
assert c.unstructure([1, 2, 3], unstructure_as=Sequence[int]) == [1, 2, 3]
assert c.unstructure([1, 2, 3],
unstructure_as=MutableSequence[int]) == MyList([
1,
2,
3,
])
assert c.unstructure([1, 2, 3]) == MyList([
1,
2,
3,
])
assert c.unstructure((1, 2, 3)) == [
1,
2,
3,
]
# Second approach, using abc.Sequence
c = GenConverter(unstruct_collection_overrides={Sequence: MyList})
assert c.unstructure([1, 2, 3],
unstructure_as=Sequence[int]) == MyList([1, 2, 3])
assert c.unstructure(
[1, 2, 3], unstructure_as=MutableSequence[int]) == MyList([1, 2, 3])
assert c.unstructure([1, 2, 3]) == MyList([1, 2, 3])
assert c.unstructure((1, 2, 3), unstructure_as=tuple[int, ...]) == MyList([
1,
2,
3,
])
# Second approach, using __builtins__.list
c = GenConverter(unstruct_collection_overrides={list: MyList})
assert c.unstructure([1, 2, 3], unstructure_as=Sequence[int]) == [1, 2, 3]
assert c.unstructure([1, 2, 3], unstructure_as=MutableSequence[int]) == [
1,
2,
3,
]
assert c.unstructure([1, 2, 3]) == MyList([
1,
2,
3,
])
assert c.unstructure((1, 2, 3)) == [
1,
2,
3,
]
# Second approach, using __builtins__.tuple
c = GenConverter(unstruct_collection_overrides={tuple: MyList})
assert c.unstructure([1, 2, 3], unstructure_as=Sequence[int]) == [1, 2, 3]
assert c.unstructure([1, 2, 3], unstructure_as=MutableSequence[int]) == [
1,
2,
3,
]
assert c.unstructure([1, 2, 3]) == [
1,
2,
3,
]
assert c.unstructure((1, 2, 3)) == MyList([
1,
2,
3,
])
def _structure(data: list[dict[str, Any]], cls: Type[LayerSet],
converter: GenConverter) -> LayerSet:
return cls.from_iterable(
converter.structure(layer, Layer) for layer in data)
def _unstructure(self, converter: GenConverter) -> list[dict[str, Any]]:
return [converter.unstructure(layer) for layer in self]
