# Copyright Amazon.com Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
#     http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.

import json

import pytest
from pydantic import ValidationError
from test_common import (
    create_class_instance,
    create_switcher,
    create_valid_class_instance,
    create_valid_json,
    idfn,
)

from braket.ir.jaqcd import Program
from braket.ir.jaqcd.results import (
    AdjointGradient,
    Amplitude,
    DensityMatrix,
    Expectation,
    Probability,
    Sample,
    StateVector,
    Variance,
)
from braket.ir.jaqcd.shared_models import (
    MultiState,
    Observable,
    OptionalMultiParameter,
    OptionalMultiTarget,
    OptionalNestedMultiTarget,
)

testdata = [
    (Amplitude, [MultiState], "amplitude"),
    (Expectation, [OptionalMultiTarget, Observable], "expectation"),
    (Sample, [OptionalMultiTarget, Observable], "sample"),
    (Probability, [OptionalMultiTarget], "probability"),
    (StateVector, [], "statevector"),
    (DensityMatrix, [OptionalMultiTarget], "densitymatrix"),
    (Variance, [OptionalMultiTarget, Observable], "variance"),
    (
        AdjointGradient,
        [OptionalNestedMultiTarget, Observable, OptionalMultiParameter],
        "adjoint_gradient",
    ),
]


@pytest.mark.parametrize("testclass,subclasses,type", testdata, ids=idfn)
def test_subclass(testclass, subclasses, type):
    for subclass in subclasses:
        assert issubclass(testclass, subclass)


@pytest.mark.parametrize("testclass,subclasses,type", testdata, ids=idfn)
@pytest.mark.xfail(raises=ValidationError)
def test_invalid_type(testclass, subclasses, type):
    switcher = create_switcher(type="gobbledygook")
    create_class_instance(switcher, testclass, subclasses)


@pytest.mark.parametrize("testclass,subclasses,type", testdata, ids=idfn)
def test_valid_json(testclass, subclasses, type):
    json_obj = create_valid_json(subclasses, type)
    json_raw = json.dumps(json_obj)
    result = create_valid_class_instance(testclass, subclasses, type)
    assert json.loads(result.json()) == json_obj
    assert testclass.parse_raw(json_raw) == result


@pytest.mark.parametrize("testclass,subclasses,type", testdata, ids=idfn)
def test_result_in_program(testclass, subclasses, type):
    result = create_valid_class_instance(testclass, subclasses, type)
    program = Program(instructions=[], results=[result])
    assert program.results == [result]