# !/usr/bin/env python
# -*- coding:utf-8 -*-

"""
Copyright 2020 Tianshu AI Platform. 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 json
import os
import cv2

datasetIdKey = ""

def execute(task):
        return sampleProcess(task)

def sampleProcess(taskParameters):
    """Video sampling method.
        Args:
            taskParameters: taskParameters.
    """
    global datasetIdKey
    path = taskParameters['path']
    frameList = taskParameters['frames']
    datasetId = taskParameters['datasetId']
    task_id = taskParameters['id']
    datasetIdJson = {'datasetIdKey': datasetId}
    datasetIdKey = json.dumps(datasetIdJson, separators=(',', ':'))
    try:
        videoName = path.split('/')[-1]
        save_path = path.split(videoName)[0].replace("video", "origin")
        is_exists = os.path.exists(save_path)
        if not is_exists:
            os.makedirs(save_path)
            print('path of %s is build' % save_path)
        else:
            print('path of %s already exist and start' % save_path)
        cap = cv2.VideoCapture(path)
        pic_name_list = []
        finish_json = {}
        for i in frameList:
            cap.set(cv2.CAP_PROP_POS_FRAMES, i)
            success, video_capture = cap.read()
            # 保存图片
            if success is True and video_capture is not None:
                save_name = save_path + videoName.split('.')[0] + '_' + str(i) + '.jpg'
                cv2.imwrite(save_name, video_capture)
                pic_name_list.append(save_name)
                print('image of %s is saved' % save_name)
        pic_name_list.reverse()
        finish_json['pictureNames'] = pic_name_list
        finish_json['datasetIdAndSub'] = datasetId
        finish_json['id'] = task_id
        print('video is all read')
        return finish_json
    except Exception as e:
        failed_json = {'datasetIdAndSub': datasetId}
        return failed_json