# (C) Copyright 2005-2022 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This software is provided without warranty under the terms of the BSD
# license included in LICENSE.txt and may be redistributed only under
# the conditions described in the aforementioned license. The license
# is also available online at http://www.enthought.com/licenses/BSD.txt
#
# Thanks for using Enthought open source!

""" Unit test case for testing interfaces and adaptation.
"""

import contextlib
import logging
import unittest

from traits import has_traits
from traits.api import (
    HasTraits,
    Adapter,
    AdaptsTo,
    Instance,
    Int,
    Interface,
    List,
    provides,
    register_factory,
    Supports,
    TraitError,
)
from traits.adaptation.api import reset_global_adaptation_manager
from traits.constants import DefaultValue
from traits.interface_checker import InterfaceError


class IFoo(Interface):
    def get_foo(self):
        """ Returns the current foo. """


class IFooPlus(IFoo):
    def get_foo_plus(self):
        """ Returns even more foo. """


class IAverage(Interface):
    def get_average(self):
        """ Returns the average value for the object. """


class IList(Interface):
    def get_list(self):
        """ Returns the list value for the object. """


class Sample(HasTraits):

    s1 = Int(1, sample=True)
    s2 = Int(2, sample=True)
    s3 = Int(3, sample=True)
    i1 = Int(4)
    i2 = Int(5)
    i3 = Int(6)


@provides(IList)
class SampleList(HasTraits):
    """SampleList docstring."""

    data = List(Int, [10, 20, 30])

    def get_list(self):
        return self.data


@provides(IList, IAverage)
class SampleAverage(HasTraits):

    data = List(Int, [100, 200, 300])

    def get_list(self):
        return self.data

    def get_average(self):
        value = self.get_list()
        if len(value) == 0:
            return 0.0

        average = 0.0
        for item in value:
            average += item
        return average / len(value)


class UndeclaredAverageProvider(HasTraits):
    """
    Class that conforms to the IAverage interface, but doesn't declare
    that it does so.
    """
    def get_average(self):
        return 5.6


class SampleBad(HasTraits):
    pass


class TraitsHolder(HasTraits):

    a_no = Instance(IAverage, adapt="no")
    a_yes = Instance(IAverage, adapt="yes")
    a_default = Instance(IAverage, adapt="default")
    list_adapted_to = Supports(IList)
    foo_adapted_to = Supports(IFoo)
    foo_plus_adapted_to = Supports(IFooPlus)
    list_adapts_to = AdaptsTo(IList)
    foo_adapts_to = AdaptsTo(IFoo)
    foo_plus_adapts_to = AdaptsTo(IFooPlus)


class TraitsHolderSub(TraitsHolder):
    foo_adapted_to = Sample()
    foo_adapts_to = Sample()


class SampleListAdapter(Adapter):
    def get_list(self):
        obj = self.adaptee
        return [getattr(obj, name) for name in obj.trait_names(sample=True)]


class ListAverageAdapter(Adapter):
    def get_average(self):
        value = self.adaptee.get_list()
        if len(value) == 0:
            return 0.0

        average = 0.0
        for item in value:
            average += item
        return average / len(value)


class SampleFooAdapter(HasTraits):

    object = Instance(Sample)

    def __init__(self, object):
        self.object = object

    def get_foo(self):
        object = self.object
        return object.s1 + object.s2 + object.s3


class FooPlusAdapter(object):
    def __init__(self, obj):
        self.obj = obj

    def get_foo(self):
        return self.obj.get_foo()

    def get_foo_plus(self):
        return self.obj.get_foo() + 1


class InterfacesTest(unittest.TestCase):

    #### 'TestCase' protocol ##################################################

    def setUp(self):
        reset_global_adaptation_manager()

        # Register adapters.
        register_factory(SampleListAdapter, Sample, IList)
        register_factory(ListAverageAdapter, IList, IAverage)
        register_factory(SampleFooAdapter, Sample, IFoo)
        register_factory(FooPlusAdapter, IFoo, IFooPlus)

    #### Tests ################################################################

    def test_provides_none(self):
        @provides()
        class Test(HasTraits):
            pass

    def test_provides_one(self):
        @provides(IFoo)
        class Test(HasTraits):
            def get_foo(self):
                return "foo_and_only_foo"

            def get_average(self):
                return 42

        test = Test()
        self.assertIsInstance(test, IFoo)
        self.assertNotIsInstance(test, IAverage)

    def test_provides_multi(self):
        @provides(IFoo, IAverage, IList)
        class Test(HasTraits):
            def get_foo(self):
                return "test_foo"

            def get_average(self):
                return 42

            def get_list(self):
                return [42]

        test = Test()
        self.assertIsInstance(test, IFoo)
        self.assertIsInstance(test, IAverage)
        self.assertIsInstance(test, IList)

    def test_provides_extended(self):
        """ Ensure that subclasses of Interfaces imply the superinterface.
        """

        @provides(IFooPlus)
        class Test(HasTraits):
            def get_foo(self):
                return "some_test_foo"

            def get_foo_plus(self):
                return "more_test_foo"

        test = Test()
        self.assertIsInstance(test, IFoo)
        self.assertIsInstance(test, IFooPlus)

        ta = TraitsHolder()
        ta.foo_adapted_to = test
        self.assertIs(ta.foo_adapted_to, test)

    def test_provides_bad(self):
        with self.assertRaises(Exception):

            @provides(Sample)
            class Test(HasTraits):
                pass

    def test_provides_with_no_interface_check(self):

        class Test(HasTraits):
            # Deliberately _not_ implementing get_foo. This class
            # should not pass an IFoo interface check.
            pass

        provides_ifoo = provides(IFoo)
        with self.set_check_interfaces(0):
            # Simulate application of the decorator
            Test = provides_ifoo(Test)

        test = Test()
        self.assertIsInstance(test, IFoo)

    def test_provides_with_interface_check_warn(self):

        class Test(HasTraits):
            # Deliberately _not_ implementing get_foo. This class
            # should not pass an IFoo interface check.
            pass

        provides_ifoo = provides(IFoo)
        with self.set_check_interfaces(1):
            with self.assertWarns(DeprecationWarning) as warnings_cm:
                with self.assertLogs("traits", logging.WARNING):
                    # Simulate application of the decorator
                    Test = provides_ifoo(Test)

        test = Test()
        self.assertIsInstance(test, IFoo)

        self.assertIn(
            "the @provides decorator will not perform interface checks",
            str(warnings_cm.warning),
        )

        # Check we used the appropriate stacklevel.
        _, _, this_module = __name__.rpartition(".")
        self.assertIn(this_module, warnings_cm.filename)

    def test_provides_with_interface_check_error(self):

        class Test(HasTraits):
            # Deliberately _not_ implementing get_foo. This class
            # should not pass an IFoo interface check.
            pass

        provides_ifoo = provides(IFoo)
        with self.set_check_interfaces(2):
            with self.assertWarns(DeprecationWarning) as warnings_cm:
                with self.assertRaises(InterfaceError):
                    # Simulate application of the decorator
                    Test = provides_ifoo(Test)

        test = Test()
        self.assertIsInstance(test, IFoo)

        self.assertIn(
            "the @provides decorator will not perform interface checks",
            str(warnings_cm.warning),
        )

        # Check we used the appropriate stacklevel.
        _, _, this_module = __name__.rpartition(".")
        self.assertIn(this_module, warnings_cm.filename)

    def test_instance_adapt_no(self):
        ta = TraitsHolder()

        # Verify that SampleAverage() does not raise an error (it is an
        # instance of the IAverage interface).
        try:
            ta.a_no = SampleAverage()
        except TraitError:
            self.fail(
                "Setting instance of interface should not require "
                "adaptation"
            )

        # These are not instances of the IAverage interface, and therefore
        # cannot be set to the trait.
        self.assertRaises(TraitError, ta.trait_set, a_no=SampleList())
        self.assertRaises(TraitError, ta.trait_set, a_no=Sample())
        self.assertRaises(TraitError, ta.trait_set, a_no=SampleBad())

    def test_instance_adapt_yes(self):
        ta = TraitsHolder()

        ta.a_yes = SampleAverage()
        self.assertEqual(ta.a_yes.get_average(), 200.0)
        self.assertIsInstance(ta.a_yes, SampleAverage)
        self.assertFalse(hasattr(ta, "a_yes_"))

        ta.a_yes = SampleList()
        self.assertEqual(ta.a_yes.get_average(), 20.0)
        self.assertIsInstance(ta.a_yes, ListAverageAdapter)
        self.assertFalse(hasattr(ta, "a_yes_"))

        ta.a_yes = Sample()
        self.assertEqual(ta.a_yes.get_average(), 2.0)
        self.assertIsInstance(ta.a_yes, ListAverageAdapter)
        self.assertFalse(hasattr(ta, "a_yes_"))

        self.assertRaises(TraitError, ta.trait_set, a_yes=SampleBad())

    def test_instance_adapt_default(self):
        ta = TraitsHolder()

        ta.a_default = SampleAverage()
        self.assertEqual(ta.a_default.get_average(), 200.0)
        self.assertIsInstance(ta.a_default, SampleAverage)
        self.assertFalse(hasattr(ta, "a_default_"))

        ta.a_default = SampleList()
        self.assertEqual(ta.a_default.get_average(), 20.0)
        self.assertIsInstance(ta.a_default, ListAverageAdapter)
        self.assertFalse(hasattr(ta, "a_default_"))

        ta.a_default = Sample()
        self.assertEqual(ta.a_default.get_average(), 2.0)
        self.assertIsInstance(ta.a_default, ListAverageAdapter)
        self.assertFalse(hasattr(ta, "a_default_"))

        ta.a_default = SampleBad()
        self.assertEqual(ta.a_default, None)
        self.assertFalse(hasattr(ta, "a_default_"))

    def test_adapted_to(self):
        ta = TraitsHolder()

        ta.list_adapted_to = object = Sample()
        result = ta.list_adapted_to.get_list()
        self.assertEqual(len(result), 3)
        for n in [1, 2, 3]:
            self.assertIn(n, result)
        self.assertIsInstance(ta.list_adapted_to, SampleListAdapter)
        self.assertEqual(ta.list_adapted_to_, object)

        ta.foo_adapted_to = object = Sample()
        self.assertEqual(ta.foo_adapted_to.get_foo(), 6)
        self.assertIsInstance(ta.foo_adapted_to, SampleFooAdapter)
        self.assertEqual(ta.foo_adapted_to_, object)

        ta.foo_plus_adapted_to = object = Sample(s1=5, s2=10, s3=15)
        self.assertEqual(ta.foo_plus_adapted_to.get_foo(), 30)
        self.assertEqual(ta.foo_plus_adapted_to.get_foo_plus(), 31)
        self.assertIsInstance(ta.foo_plus_adapted_to, FooPlusAdapter)
        self.assertEqual(ta.foo_plus_adapted_to_, object)

    def test_adapts_to(self):
        ta = TraitsHolder()

        ta.list_adapts_to = object = Sample()
        self.assertEqual(ta.list_adapts_to, object)
        result = ta.list_adapts_to_.get_list()
        self.assertEqual(len(result), 3)
        for n in [1, 2, 3]:
            self.assertIn(n, result)
        self.assertIsInstance(ta.list_adapts_to_, SampleListAdapter)

        ta.foo_adapts_to = object = Sample()
        self.assertEqual(ta.foo_adapts_to, object)
        self.assertEqual(ta.foo_adapts_to_.get_foo(), 6)
        self.assertIsInstance(ta.foo_adapts_to_, SampleFooAdapter)

        ta.foo_plus_adapts_to = object = Sample(s1=5, s2=10, s3=15)
        self.assertEqual(ta.foo_plus_adapts_to, object)
        self.assertEqual(ta.foo_plus_adapts_to_.get_foo(), 30)
        self.assertEqual(ta.foo_plus_adapts_to_.get_foo_plus(), 31)
        self.assertIsInstance(ta.foo_plus_adapts_to_, FooPlusAdapter)

    def test_decorated_class_name_and_docstring(self):
        self.assertEqual(SampleList.__name__, "SampleList")
        self.assertEqual(SampleList.__doc__, "SampleList docstring.")

    def test_instance_requires_provides(self):
        ta = TraitsHolder()
        provider = UndeclaredAverageProvider()
        with self.assertRaises(TraitError):
            ta.a_no = provider

    def test_clone_supports_defaults(self):
        i_foo_trait = Supports(IFoo)
        new_default = Sample()
        i_foo_clone = i_foo_trait(new_default)
        default_value_kind, default_value = i_foo_clone.default_value()

        # this is sub-optimal but matches Instance trait, see #1630
        self.assertEqual(default_value_kind, DefaultValue.constant)
        self.assertIsInstance(default_value, SampleFooAdapter)

        ctrait_default = i_foo_clone.as_ctrait().default_value_for(None, "foo")
        self.assertIsInstance(ctrait_default, SampleFooAdapter)

    def test_clone_adapts_to_default(self):
        i_foo_trait = AdaptsTo(IFoo)
        new_default = Sample()
        i_foo_clone = i_foo_trait(new_default)
        default_value_kind, default_value = i_foo_clone.default_value()

        # this is sub-optimal but matches Instance trait, see #1630
        self.assertEqual(default_value_kind, DefaultValue.constant)
        self.assertIs(default_value, new_default)

        ctrait_default = i_foo_clone.as_ctrait().default_value_for(None, "foo")
        self.assertIs(ctrait_default, new_default)

    def test_subclass_supports_default(self):
        s1 = TraitsHolderSub()
        s2 = TraitsHolderSub()

        # this is sub-optimal but matches Instance trait, see #1630
        self.assertIs(s1.foo_adapted_to, s2.foo_adapted_to)

    def test_subclass_adapts_to_default(self):
        s1 = TraitsHolderSub()
        s2 = TraitsHolderSub()

        # this is sub-optimal but matches Instance trait, see #1630
        self.assertIs(s1.foo_adapts_to, s2.foo_adapts_to)

    @contextlib.contextmanager
    def set_check_interfaces(self, check_interfaces_value):
        """
        Context manager to temporarily set has_traits.CHECK_INTERFACES
        to the given value.

        Parameters
        ----------
        check_interfaces_value : int
            One of 0 (don't check), 1 (check and log a warning on interface
            mismatch) or 2 (check and raise on interface mismatch).

        Returns
        -------
        context manager
        """
        old_check_interfaces = has_traits.CHECK_INTERFACES
        has_traits.CHECK_INTERFACES = check_interfaces_value
        try:
            yield
        finally:
            has_traits.CHECK_INTERFACES = old_check_interfaces