# coding: utf-8
# Author：tajochen

import time

import requests

from application.settings import Config
from common.tools.dms import dms_login, dms_task_record
from util.upload_client import upload_file_client

from util.http_util import httpUtil


# 动态调用函数
# @param tag 标签名
# @param text 文本
# @return True:OK, False:NG
def item_check(func_name, text):
    if type and text:
        try:
            # 调用导入模块中的函数，并传参
            return eval("__{0}".format(func_name))(text)
        except Exception:
            return False
    else:
        return False


# 动态调用遥感函数
# @param tag 标签名
# @param text 文本
# @return True:OK, False:NG
def analysis_remote_sensing_data(func_name, collection_code, path):
    """
    解析JPSS-VJ102元数据
    :return:
    """
    print('开始扫描VJ102IMG数据集')
    #collectionCode = 'VJ102IMG'
    # 用户登录
    token_s = dms_login()
    # 判断定时任务是否在进行
    task = dms_task_record(token_s, collection_code)
    # 如果不是空说明正在进行
    if task is not None and len(task) > 0:
        return 1

    file_total_size = ""
    file_total_name = ""
    xmlPath = Config.XML_PATH  # 解析出的xml文件保存的路径
    ThumbnailPath = Config.THUMBNAIL_PATH  # 解析出的缩略图保存的路径

    # 解析遥感数据文件（demo）
    remote_sensing_data_dic = globals().get('func_%s' % func_name)(path, xmlPath, ThumbnailPath)

    # 配置文件服务器参数
    url = Config.DFS_UPLOAD_URL
    files = {'file': open(remote_sensing_data_dic['xmlPath'], 'rb')}
    options = {'output': 'json', 'path': '/archive_data/remote_sensing_data/' + collection_code}
    # 上传生成的xml文件到文件服务器
    xml = requests.post(url, data=options, files=files)

    url = Config.DFS_UPLOAD_URL
    files = {'file': open(remote_sensing_data_dic['ThumbnailPath'], 'rb')}
    options = {'output': 'json', 'path': '/archive_data/remote_sensing_data/' + collection_code}
    # 上传生成的xml文件到文件服务器
    ThumbnailName = requests.post(url, data=options, files=files)

    CollectionCode = remote_sensing_data_dic['CollectionCode']
    DirectoryDepth = remote_sensing_data_dic['DirectoryDepth']
    StartTime = remote_sensing_data_dic['StartTime']
    # uc = upload_client(path, DirectoryDepth, StartTime[0:19])
    uc = upload_file_client(path, DirectoryDepth, StartTime[0:19], collection_code)

    StartTime = time.mktime(time.strptime(remote_sensing_data_dic['StartTime'][0:19], '%Y-%m-%d %H:%M:%S'))
    EndTime = time.mktime(time.strptime(remote_sensing_data_dic['EndTime'][0:19], '%Y-%m-%d %H:%M:%S'))

    # 入库遥感数据
    res_data = httpUtil(url=Config.RESING_DATA_URL,
                        data={"collectionCode": collection_code, "shootingTimeStartTs": StartTime,
                              "shootingTimeEndTs": EndTime,
                              "fileMd5": uc['md5'], "fileName": uc['fileName'], "filePath": uc['file_path'],
                              "fileSize": uc['file_size'], "cloudCoverage": remote_sensing_data_dic['CloudPercent'],
                              "metaInformationFile": xml.json()['path'],
                              "thumbnailFile": ThumbnailName.json()['path'],
                              "remarks": "", "boundaryGeomStr": remote_sensing_data_dic['boundaryGeomStr']},
                        token=token_s).post_no_patam_herder()
    print(res_data.json()['data'])

    file_total_size = file_total_size + str(uc['file_size'])
    file_total_size = file_total_size + ","

    file_total_name = file_total_name + uc['fileName']
    file_total_name = file_total_name + ","

    # 添加遥感数据归档任务
    res = httpUtil(url=Config.DATA_TASK_URL,
                   data={"clientCode": "client1", "collectionCode": collection_code, "storageFileList": file_total_name,
                         "storageFileSizeList": file_total_size, "remarks": ""}, token=token_s).post_no_patam_herder()
    task_code = res.json()['data']

    # 结束遥感数据归档任务
    header = {"Authorization": token_s}
    res = requests.post(url=Config.DATA_END_TASK_URL,

                        params={"taskCode": task_code}, headers=header).json()
    if res_data.json()['status'] == 0:
        return 0
    else:
        return 2


if __name__ == "__main__":
    result = item_check("num", 123.23)
    print(result)
    strs = ['year', 'month']
    for s in strs:
        globals().get('func_%s' % s)(s)