# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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.
from unittest.mock import Mock

import pytest
from torch.utils.data import DataLoader

from pytorch_lightning import Trainer
from pytorch_lightning.trainer.connectors.data_connector import _DataLoaderSource
from tests.helpers import BoringDataModule, BoringModel


class NoDataLoaderModel(BoringModel):
    def __init__(self):
        super().__init__()
        self.train_dataloader = None
        self.val_dataloader = None
        self.test_dataloader = None
        self.predict_dataloader = None


@pytest.mark.parametrize(
    "instance,available",
    [
        (None, True),
        (BoringModel().train_dataloader(), True),
        (BoringModel(), True),
        (NoDataLoaderModel(), False),
        (BoringDataModule(), True),
    ],
)
def test_dataloader_source_available(instance, available):
    """Test the availability check for _DataLoaderSource."""
    source = _DataLoaderSource(instance=instance, name="train_dataloader")
    assert source.is_defined() is available


def test_dataloader_source_direct_access():
    """Test requesting a dataloader when the source is already a dataloader."""
    dataloader = BoringModel().train_dataloader()
    source = _DataLoaderSource(instance=dataloader, name="any")
    assert not source.is_module()
    assert source.is_defined()
    assert source.dataloader() is dataloader


def test_dataloader_source_request_from_module():
    """Test requesting a dataloader from a module works."""
    module = BoringModel()
    module.trainer = Trainer()
    module.foo = Mock(return_value=module.train_dataloader())

    source = _DataLoaderSource(module, "foo")
    assert source.is_module()
    module.foo.assert_not_called()
    assert isinstance(source.dataloader(), DataLoader)
    module.foo.assert_called_once()