# -*- coding: utf-8 -*-
# File: test_layout.py

# Copyright 2021 Dr. Janis Meyer. 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.
# 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.

"""
Testing module pipe.layout
"""

from unittest.mock import MagicMock

from pytest import mark

from deepdoctection.datapoint import Image, ImageAnnotation
from deepdoctection.extern.base import DetectionResult, ObjectDetector
from deepdoctection.pipe.layout import ImageLayoutService


class TestImageLayoutService:
    """
    Test ImageLayoutService
    """

    def setup_method(self) -> None:
        """
        setup necessary components
        """

        self._layout_detector = MagicMock(spec=ObjectDetector)
        self._layout_detector.name = "mock_cell_detector"
        self._layout_detector.model_id = "test_model"
        self.image_layout_service = ImageLayoutService(self._layout_detector, to_image=True)

    @mark.basic
    def test_pass_datapoint(
        self, dp_image: Image, layout_detect_results: DetectionResult, layout_annotations: ImageAnnotation
    ) -> None:
        """
        test pass_datapoint
        """

        # Arrange
        self._layout_detector.predict = MagicMock(return_value=layout_detect_results)

        # Act
        dp = self.image_layout_service.pass_datapoint(dp_image)
        anns = dp.get_annotation()

        # Assert
        assert len(anns) == 4
        for ann in anns:
            assert isinstance(ann.image, Image)
            ann.image = None
        assert anns == layout_annotations
