import pickle
import os
import requests
import json

from odps import ODPS
from config import set_config
from db_helper import HologresHelper

config_ = set_config()


def get_data_from_odps(date, project, table, connect_timeout=3000, read_timeout=500000,
                       pool_maxsize=1000, pool_connections=1000):
    """
    从odps获取数据
    :param date: 日期 type-string '%Y%m%d'
    :param project: type-string
    :param table: 表名 type-string
    :param connect_timeout: 连接超时设置
    :param read_timeout: 读取超时设置
    :param pool_maxsize:
    :param pool_connections:
    :return: records
    """
    odps = ODPS(
        access_id='LTAI4FtW5ZzxMvdw35aNkmcp',
        secret_access_key='0VKnydcaHK3ITjylbgUsLubX6rwiwc',
        project=project,
        endpoint='http://service.cn.maxcompute.aliyun.com/api',
        connect_timeout=connect_timeout,
        read_timeout=read_timeout,
        pool_maxsize=pool_maxsize,
        pool_connections=pool_connections
    )
    records = odps.read_table(name=table, partition='dt=%s' % date)
    return records


def write_to_pickle(data, filename, filepath=config_.DATA_DIR_PATH):
    """
    将数据写入pickle文件中
    :param data: 数据
    :param filename: 写入的文件名
    :param filepath: 文件存放路径，默认为config_.DATA_DIR_PATH
    :return: None
    """
    if not os.path.exists(filepath):
        os.makedirs(filepath)
    file = os.path.join(filepath, filename)
    with open(file, 'wb') as wf:
        pickle.dump(data, wf)


def read_from_pickle(filename, filepath=config_.DATA_DIR_PATH):
    """
    从pickle文件读取数据
    :param filename: 文件名
    :param filepath: 文件存放路径，默认为config_.DATA_DIR_PATH
    :return: data
    """
    file = os.path.join(filepath, filename)
    if not os.path.exists(file):
        return None
    with open(file, 'rb') as rf:
        data = pickle.load(rf)
    return data


def request_post(request_url, request_data):
    """
    post 请求 HTTP接口
    :param request_url: 接口URL
    :param request_data: 请求参数
    :return: res_data json格式
    """
    response = requests.post(url=request_url, json=request_data)
    if response.status_code == 200:
        res_data = json.loads(response.text)
        return res_data


def data_normalization(data):
    """
    对结果做归一化处理(Min-Max Normalization)，将分数控制在[0, 100]
    :param data: type-list
    :return: normal_data, type-list 归一化后的数据
    """
    x_max = max(data)
    x_min = min(data)
    normal_data = [(x-x_min)/(x_max-x_min)*100 for x in data]
    return normal_data


def filter_video_status(video_ids):
    """
    对视频状态进行过滤
    :param video_ids: 视频id列表 type-list
    :return: filtered_videos
        """
    if len(video_ids) == 1:
        sql = "set hg_experimental_enable_shard_pruning=off; " \
              "SELECT video_id " \
              "FROM {} " \
              "WHERE audit_status = 5 " \
              "AND applet_rec_status IN (1, -6) " \
              "AND open_status = 1 " \
              "AND payment_status = 0 " \
              "AND encryption_status IS NULL " \
              "AND transcoding_status = 3 " \
              "AND video_id IN ({});".format(config_.VIDEO_STATUS, video_ids[0])
    else:
        sql = "set hg_experimental_enable_shard_pruning=off; " \
              "SELECT video_id " \
              "FROM {} " \
              "WHERE audit_status = 5 " \
              "AND applet_rec_status IN (1, -6) " \
              "AND open_status = 1 " \
              "AND payment_status = 0 " \
              "AND encryption_status IS NULL " \
              "AND transcoding_status = 3 " \
              "AND video_id IN {};".format(config_.VIDEO_STATUS, tuple(video_ids))

    hologres_helper = HologresHelper()
    data = hologres_helper.get_data(sql=sql)
    filtered_videos = [temp[0] for temp in data]
    return filtered_videos


if __name__ == '__main__':
    # data_test = [9.20273281e+03, 7.00795065e+03, 5.54813112e+03, 9.97402494e-01, 9.96402495e-01, 9.96402494e-01]
    # data_normalization(data_test)
    request_post(request_url=config_.NOTIFY_BACKEND_UPDATE_ROV_SCORE_URL, request_data={'videos': []})