# Copyright 2021 Zilliz. 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.


import logging
import cv2
import requests
import numpy as np
from typing import List, Tuple

from towhee import register
from towhee.operator import PyOperator, OperatorFlag
from towhee._types import Image

log = logging.getLogger()


@register(output_schema=['img'],
          flag=OperatorFlag.STATELESS | OperatorFlag.REUSEABLE)
class ImageCropCV2(PyOperator):
    def __init__(self, clamp = False):
        self.clamp = clamp

    @staticmethod
    def _clamp(x, minimum, maximum):
        return max(minimum, min(x, maximum))

    def __call__(self, img: np.ndarray, bboxes: List[Tuple]):
        h, w, _ = img.shape
        res = []
        for box in bboxes:
            x1, y1, x2, y2 = box
            x1 = ImageCropCV2._clamp(x1, 0, w)
            x2 = ImageCropCV2._clamp(x2, 0, w)
            y1 = ImageCropCV2._clamp(y1, 0, h)
            y2 = ImageCropCV2._clamp(y2, 0, h)
            res.append(img[y1:y2,x1:x2,:])
        return res