"""
Tests for PEP-526 type annotations.

Python 3.6+ only.
"""

import sys
import types
import typing

import pytest

import attr

from attr._make import _is_class_var
from attr.exceptions import UnannotatedAttributeError


def assert_init_annotations(cls, **annotations):
    """
    Assert cls.__init__ has the correct annotations.
    """
    __tracebackhide__ = True

    annotations["return"] = type(None)

    assert annotations == typing.get_type_hints(cls.__init__)


class TestAnnotations:
    """
    Tests for types derived from variable annotations (PEP-526).
    """

    def test_basic_annotations(self):
        """
        Sets the `Attribute.type` attr from basic type annotations.
        """

        @attr.resolve_types
        @attr.s
        class C:
            x: int = attr.ib()
            y = attr.ib(type=str)
            z = attr.ib()

        assert int is attr.fields(C).x.type
        assert str is attr.fields(C).y.type
        assert None is attr.fields(C).z.type
        assert_init_annotations(C, x=int, y=str)

    def test_catches_basic_type_conflict(self):
        """
        Raises ValueError if type is specified both ways.
        """
        with pytest.raises(ValueError) as e:

            @attr.s
            class C:
                x: int = attr.ib(type=int)

        assert (
            "Type annotation and type argument cannot both be present",
        ) == e.value.args

    def test_typing_annotations(self):
        """
        Sets the `Attribute.type` attr from typing annotations.
        """

        @attr.resolve_types
        @attr.s
        class C:
            x: typing.List[int] = attr.ib()
            y = attr.ib(type=typing.Optional[str])

        assert typing.List[int] is attr.fields(C).x.type
        assert typing.Optional[str] is attr.fields(C).y.type
        assert_init_annotations(C, x=typing.List[int], y=typing.Optional[str])

    def test_only_attrs_annotations_collected(self):
        """
        Annotations that aren't set to an attr.ib are ignored.
        """

        @attr.resolve_types
        @attr.s
        class C:
            x: typing.List[int] = attr.ib()
            y: int

        assert 1 == len(attr.fields(C))
        assert_init_annotations(C, x=typing.List[int])

    @pytest.mark.parametrize("slots", [True, False])
    def test_auto_attribs(self, slots):
        """
        If *auto_attribs* is True, bare annotations are collected too.
        Defaults work and class variables are ignored.
        """

        @attr.s(auto_attribs=True, slots=slots)
        class C:
            cls_var: typing.ClassVar[int] = 23
            a: int
            x: typing.List[int] = attr.Factory(list)
            y: int = 2
            z: int = attr.ib(default=3)
            foo: typing.Any = None

        i = C(42)
        assert "C(a=42, x=[], y=2, z=3, foo=None)" == repr(i)

        attr_names = set(a.name for a in C.__attrs_attrs__)
        assert "a" in attr_names  # just double check that the set works
        assert "cls_var" not in attr_names

        attr.resolve_types(C)

        assert int == attr.fields(C).a.type

        assert attr.Factory(list) == attr.fields(C).x.default
        assert typing.List[int] == attr.fields(C).x.type

        assert int == attr.fields(C).y.type
        assert 2 == attr.fields(C).y.default

        assert int == attr.fields(C).z.type

        assert typing.Any == attr.fields(C).foo.type

        # Class body is clean.
        if slots is False:
            with pytest.raises(AttributeError):
                C.y

            assert 2 == i.y
        else:
            assert isinstance(C.y, types.MemberDescriptorType)

            i.y = 23
            assert 23 == i.y

        assert_init_annotations(
            C,
            a=int,
            x=typing.List[int],
            y=int,
            z=int,
            foo=typing.Optional[typing.Any],
        )

    @pytest.mark.parametrize("slots", [True, False])
    def test_auto_attribs_unannotated(self, slots):
        """
        Unannotated `attr.ib`s raise an error.
        """
        with pytest.raises(UnannotatedAttributeError) as e:

            @attr.s(slots=slots, auto_attribs=True)
            class C:
                v = attr.ib()
                x: int
                y = attr.ib()
                z: str

        assert (
            "The following `attr.ib`s lack a type annotation: v, y.",
        ) == e.value.args

    @pytest.mark.parametrize("slots", [True, False])
    def test_auto_attribs_subclassing(self, slots):
        """
        Attributes from base classes are inherited, it doesn't matter if the
        subclass has annotations or not.

        Ref #291
        """

        @attr.resolve_types
        @attr.s(slots=slots, auto_attribs=True)
        class A:
            a: int = 1

        @attr.resolve_types
        @attr.s(slots=slots, auto_attribs=True)
        class B(A):
            b: int = 2

        @attr.resolve_types
        @attr.s(slots=slots, auto_attribs=True)
        class C(A):
            pass

        assert "B(a=1, b=2)" == repr(B())
        assert "C(a=1)" == repr(C())
        assert_init_annotations(A, a=int)
        assert_init_annotations(B, a=int, b=int)
        assert_init_annotations(C, a=int)

    def test_converter_annotations(self):
        """
        An unannotated attribute with an annotated converter gets its
        annotation from the converter.
        """

        def int2str(x: int) -> str:
            return str(x)

        @attr.s
        class A:
            a = attr.ib(converter=int2str)

        assert_init_annotations(A, a=int)

        def int2str_(x: int, y: str = ""):
            return str(x)

        @attr.s
        class A:
            a = attr.ib(converter=int2str_)

        assert_init_annotations(A, a=int)

    def test_converter_attrib_annotations(self):
        """
        If a converter is provided, an explicit type annotation has no
        effect on an attribute's type annotation.
        """

        def int2str(x: int) -> str:
            return str(x)

        @attr.s
        class A:
            a: str = attr.ib(converter=int2str)
            b = attr.ib(converter=int2str, type=str)

        assert_init_annotations(A, a=int, b=int)

    def test_non_introspectable_converter(self):
        """
        A non-introspectable converter doesn't cause a crash.
        """

        @attr.s
        class A:
            a = attr.ib(converter=print)

    def test_nullary_converter(self):
        """
        A coverter with no arguments doesn't cause a crash.
        """

        def noop():
            pass

        @attr.s
        class A:
            a = attr.ib(converter=noop)

        assert A.__init__.__annotations__ == {"return": None}

    def test_pipe(self):
        """
        pipe() uses the input annotation of its first argument and the
        output annotation of its last argument.
        """

        def int2str(x: int) -> str:
            return str(x)

        def strlen(y: str) -> int:
            return len(y)

        def identity(z):
            return z

        assert attr.converters.pipe(int2str).__annotations__ == {
            "val": int,
            "return": str,
        }
        assert attr.converters.pipe(int2str, strlen).__annotations__ == {
            "val": int,
            "return": int,
        }
        assert attr.converters.pipe(identity, strlen).__annotations__ == {
            "return": int
        }
        assert attr.converters.pipe(int2str, identity).__annotations__ == {
            "val": int
        }

        def int2str_(x: int, y: int = 0) -> str:
            return str(x)

        assert attr.converters.pipe(int2str_).__annotations__ == {
            "val": int,
            "return": str,
        }

    def test_pipe_empty(self):
        """
        pipe() with no converters is annotated like the identity.
        """

        p = attr.converters.pipe()
        assert "val" in p.__annotations__
        t = p.__annotations__["val"]
        assert isinstance(t, typing.TypeVar)
        assert p.__annotations__ == {"val": t, "return": t}

    def test_pipe_non_introspectable(self):
        """
        pipe() doesn't crash when passed a non-introspectable converter.
        """

        assert attr.converters.pipe(print).__annotations__ == {}

    def test_pipe_nullary(self):
        """
        pipe() doesn't crash when passed a nullary converter.
        """

        def noop():
            pass

        assert attr.converters.pipe(noop).__annotations__ == {}

    def test_optional(self):
        """
        optional() uses the annotations of the converter it wraps.
        """

        def int2str(x: int) -> str:
            return str(x)

        def int_identity(x: int):
            return x

        def strify(x) -> str:
            return str(x)

        def identity(x):
            return x

        assert attr.converters.optional(int2str).__annotations__ == {
            "val": typing.Optional[int],
            "return": typing.Optional[str],
        }
        assert attr.converters.optional(int_identity).__annotations__ == {
            "val": typing.Optional[int]
        }
        assert attr.converters.optional(strify).__annotations__ == {
            "return": typing.Optional[str]
        }
        assert attr.converters.optional(identity).__annotations__ == {}

        def int2str_(x: int, y: int = 0) -> str:
            return str(x)

        assert attr.converters.optional(int2str_).__annotations__ == {
            "val": typing.Optional[int],
            "return": typing.Optional[str],
        }

    def test_optional_non_introspectable(self):
        """
        optional() doesn't crash when passed a non-introspectable
        converter.
        """

        assert attr.converters.optional(print).__annotations__ == {}

    def test_optional_nullary(self):
        """
        optional() doesn't crash when passed a nullary converter.
        """

        def noop():
            pass

        assert attr.converters.optional(noop).__annotations__ == {}

    @pytest.mark.xfail(
        sys.version_info[:2] == (3, 6), reason="Does not work on 3.6."
    )
    @pytest.mark.parametrize("slots", [True, False])
    def test_annotations_strings(self, slots):
        """
        String annotations are passed into __init__ as is.

        It fails on 3.6 due to a bug in Python.
        """
        import typing as t

        from typing import ClassVar

        @attr.s(auto_attribs=True, slots=slots)
        class C:
            cls_var1: "typing.ClassVar[int]" = 23
            cls_var2: "ClassVar[int]" = 23
            cls_var3: "t.ClassVar[int]" = 23
            a: "int"
            x: "typing.List[int]" = attr.Factory(list)
            y: "int" = 2
            z: "int" = attr.ib(default=3)
            foo: "typing.Any" = None

        attr.resolve_types(C, locals(), globals())

        assert_init_annotations(
            C,
            a=int,
            x=typing.List[int],
            y=int,
            z=int,
            foo=typing.Optional[typing.Any],
        )

    def test_keyword_only_auto_attribs(self):
        """
        `kw_only` propagates to attributes defined via `auto_attribs`.
        """

        @attr.s(auto_attribs=True, kw_only=True)
        class C:
            x: int
            y: int

        with pytest.raises(TypeError):
            C(0, 1)

        with pytest.raises(TypeError):
            C(x=0)

        c = C(x=0, y=1)

        assert c.x == 0
        assert c.y == 1

    def test_base_class_variable(self):
        """
        Base class' class variables can be overridden with an attribute
        without resorting to using an explicit `attr.ib()`.
        """

        class Base:
            x: int = 42

        @attr.s(auto_attribs=True)
        class C(Base):
            x: int

        assert 1 == C(1).x

    def test_removes_none_too(self):
        """
        Regression test for #523: make sure defaults that are set to None are
        removed too.
        """

        @attr.s(auto_attribs=True)
        class C:
            x: int = 42
            y: typing.Any = None

        with pytest.raises(AttributeError):
            C.x

        with pytest.raises(AttributeError):
            C.y

    def test_non_comparable_defaults(self):
        """
        Regression test for #585: objects that are not directly comparable
        (for example numpy arrays) would cause a crash when used as
        default values of an attrs auto-attrib class.
        """

        class NonComparable:
            def __eq__(self, other):
                raise ValueError

        @attr.s(auto_attribs=True)
        class C:
            x: typing.Any = NonComparable()

    def test_basic_resolve(self):
        """
        Resolve the `Attribute.type` attr from basic type annotations.
        Unannotated types are ignored.
        """

        @attr.s
        class C:
            x: "int" = attr.ib()
            y = attr.ib(type=str)
            z = attr.ib()

        attr.resolve_types(C)

        assert int is attr.fields(C).x.type
        assert str is attr.fields(C).y.type
        assert None is attr.fields(C).z.type

    @pytest.mark.parametrize("slots", [True, False])
    def test_resolve_types_auto_attrib(self, slots):
        """
        Types can be resolved even when strings are involved.
        """

        @attr.s(slots=slots, auto_attribs=True)
        class A:
            a: typing.List[int]
            b: typing.List["int"]
            c: "typing.List[int]"

        # Note: I don't have to pass globals and locals here because
        # int is a builtin and will be available in any scope.
        attr.resolve_types(A)

        assert typing.List[int] == attr.fields(A).a.type
        assert typing.List[int] == attr.fields(A).b.type
        assert typing.List[int] == attr.fields(A).c.type

    @pytest.mark.parametrize("slots", [True, False])
    def test_resolve_types_decorator(self, slots):
        """
        Types can be resolved using it as a decorator.
        """

        @attr.resolve_types
        @attr.s(slots=slots, auto_attribs=True)
        class A:
            a: typing.List[int]
            b: typing.List["int"]
            c: "typing.List[int]"

        assert typing.List[int] == attr.fields(A).a.type
        assert typing.List[int] == attr.fields(A).b.type
        assert typing.List[int] == attr.fields(A).c.type

    @pytest.mark.parametrize("slots", [True, False])
    def test_self_reference(self, slots):
        """
        References to self class using quotes can be resolved.
        """

        @attr.s(slots=slots, auto_attribs=True)
        class A:
            a: "A"
            b: typing.Optional["A"]  # noqa: will resolve below

        attr.resolve_types(A, globals(), locals())

        assert A == attr.fields(A).a.type
        assert typing.Optional[A] == attr.fields(A).b.type

    @pytest.mark.parametrize("slots", [True, False])
    def test_forward_reference(self, slots):
        """
        Forward references can be resolved.
        """

        @attr.s(slots=slots, auto_attribs=True)
        class A:
            a: typing.List["B"]  # noqa: will resolve below

        @attr.s(slots=slots, auto_attribs=True)
        class B:
            a: A

        attr.resolve_types(A, globals(), locals())
        attr.resolve_types(B, globals(), locals())

        assert typing.List[B] == attr.fields(A).a.type
        assert A == attr.fields(B).a.type

        assert typing.List[B] == attr.fields(A).a.type
        assert A == attr.fields(B).a.type

    def test_init_type_hints(self):
        """
        Forward references in __init__ can be automatically resolved.
        """

        @attr.s
        class C:
            x = attr.ib(type="typing.List[int]")

        assert_init_annotations(C, x=typing.List[int])

    def test_init_type_hints_fake_module(self):
        """
        If you somehow set the __module__ to something that doesn't exist
        you'll lose __init__ resolution.
        """

        class C:
            x = attr.ib(type="typing.List[int]")

        C.__module__ = "totally fake"
        C = attr.s(C)

        with pytest.raises(NameError):
            typing.get_type_hints(C.__init__)


@pytest.mark.parametrize(
    "annot",
    [
        typing.ClassVar,
        "typing.ClassVar",
        "'typing.ClassVar[dict]'",
        "t.ClassVar[int]",
    ],
)
def test_is_class_var(annot):
    """
    ClassVars are detected, even if they're a string or quoted.
    """
    assert _is_class_var(annot)