"""
@author: luojunhui
"""
import os
import json
import uuid
import requests
import pymysql
import urllib.parse
from openai import OpenAI

from applications.functions.log import logging


class Functions(object):
    """
    通用工具代码
    """

    # 敏感词逻辑
    @classmethod
    def sensitive_flag(cls, title):
        """
        判断标题是否命中过滤词
        :param title:
        :return:
        """
        sensitive_words = MySQLServer().select_sensitive_words()
        for word in sensitive_words:
            if word in title:
                # title = title.replace(word, "*")
                return False
        return True

    # 自动加入白名单逻辑
    @classmethod
    def auto_white(cls, root_share_id):
        """
        自动加入白名单， 保证公众号百分百出广告
        :param root_share_id:
        :return:
        """

        def get_cookie():
            """
            获取 cookie
            :return:
            """
            url = "https://admin.piaoquantv.com/manager/login?account=luojunhui&passWd=e10adc3949ba59abbe56e057f20f883e&muid=7"
            payload = {}
            headers = {
                'accept': 'application/json, text/plain, */*',
                'accept-language': 'en',
                'priority': 'u=1, i',
                'sec-ch-ua': '"Chromium";v="124", "Google Chrome";v="124", "Not-A.Brand";v="99"',
                'sec-ch-ua-mobile': '?0',
                'sec-ch-ua-platform': '"macOS"',
                'sec-fetch-dest': 'empty',
                'sec-fetch-mode': 'cors',
                'sec-fetch-site': 'same-origin',
                'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36'
            }
            response = requests.request("GET", url, headers=headers, data=payload)
            return response.cookies.values()[0]

        url = "https://admin.piaoquantv.com/manager/ad/own/white/rootShare/save"
        dd = {
            "rootShareId": root_share_id,
            "commit": "算法自动加入白名单--"
        }
        payload = json.dumps(dd)
        cookie = get_cookie()
        headers = {
            'accept': 'application/json',
            'accept-language': 'en',
            'content-type': 'application/json;',
            'cookie': "SESSION=" + cookie,
            'origin': 'https://admin.piaoquantv.com',
            'priority': 'u=1, i',
            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36'
        }
        response = requests.request("POST", url, headers=headers, data=payload)
        return response.json()['content']

    # 创建公众号分享卡片
    @classmethod
    def create_gzh_path(cls, video_id, shared_uid):
        """
        :param video_id: 视频 id
        :param shared_uid: 分享 id
        """
        root_share_id = str(uuid.uuid4())
        url = f"pages/user-videos?id={video_id}&su={shared_uid}&fromGzh=1&rootShareId={root_share_id}&shareId={root_share_id}"
        # 自动把 root_share_id 加入到白名单
        cls.auto_white(root_share_id)
        return root_share_id, f"pages/category?jumpPage={urllib.parse.quote(url, safe='')}"

    # 从票圈请求视频
    @classmethod
    def request_for_info(cls, video_id):
        """
        请求数据
        :param video_id:
        :return:
        """
        url = "https://longvideoapi.piaoquantv.com/longvideoapi/openapi/video/batchSelectVideoInfo"
        data = {
            "videoIdList": [video_id]
        }
        header = {
            "Content-Type": "application/json",
        }
        response = requests.post(url, headers=header, data=json.dumps(data))
        return response.json()

    # 清理标题
    @classmethod
    def clean_title(cls, strings):
        """
        :param strings:
        :return:
        """
        return (
            strings.strip()
            .replace("\n", "")
            .replace("/", "")
            .replace("\r", "")
            .replace("#", "")
            .replace(".", "。")
            .replace("\\", "")
            .replace("&NBSP", "")
            .replace(":", "")
            .replace("*", "")
            .replace("？", "")
            .replace("?", "")
            .replace('"', "")
            .replace("<", "")
            .replace(">", "")
            .replace("|", "")
            .replace(" ", "")
            .replace('"', "")
            .replace("'", "")
        )


class MySQLServer(object):
    """
    MySql 服务
    """
    @classmethod
    def select_download_videos(cls, trace_id):
        """
        查询
        :param trace_id:
        :return:
        """
        sql = "select video_id, video_title from crawler_video where out_user_id = '{}' limit 5;".format(trace_id)
        connection = pymysql.connect(
            host="rm-bp1159bu17li9hi94.mysql.rds.aliyuncs.com",  # 数据库IP地址，内网地址
            port=3306,  # 端口号
            user="crawler",  # mysql用户名
            passwd="crawler123456@",  # mysql用户登录密码
            db="piaoquan-crawler",  # 数据库名
            charset="utf8mb4"  # 如果数据库里面的文本是utf8编码的，charset指定是utf8
        )
        cursor = connection.cursor()
        cursor.execute(sql)
        out_video_list = cursor.fetchall()
        if len(out_video_list) > 0:
            vid_list = [i[0] for i in out_video_list if i[0] != 0]
            vid_list = [vid_list[0]]
            # dir_path = os.path.join(os.getcwd(), 'applications', 'static', "out_videos")
            # os.makedirs(os.path.dirname(dir_path), exist_ok=True)
            # done_list = os.listdir(dir_path)
            # process_list = [
            #     (
            #         i[1],
            #         trace_id,
            #         os.path.join(dir_path, "{}.json".format(i[0]))
            #     ) for i in out_video_list if not "{}.json".format(i[0]) in done_list
            # ]
            # if process_list:
            #     ask_kimi_and_save_to_local(process_list[0])
            logging(
                code="2003",
                trace_id=trace_id,
                info="recall_search_list",
                function="find_videos_in_mysql",
                data=vid_list
            )
            return {
                "search_videos": "success",
                "trace_id": trace_id,
                "video_list": vid_list
            }
        else:
            return {
                "search_videos": "failed",
                "trace_id": trace_id,
                "video_list": []
            }

    @classmethod
    def select_pq_videos(cls):
        """
        查询
        :return: info_list
        """
        connection = pymysql.connect(
            host="rm-bp1k5853td1r25g3n690.mysql.rds.aliyuncs.com",  # 数据库IP地址，内网地址
            port=3306,  # 端口号
            user="wx2016_longvideo",  # mysql用户名
            passwd="wx2016_longvideoP@assword1234",  # mysql用户登录密码
            db="incentive",  # 数据库名
            charset="utf8mb4"  # 如果数据库里面的文本是utf8编码的，charset指定是utf8
        )
        sql = "select video_id, key_words, search_keys, extra_keys from video_content"
        cursor = connection.cursor()
        cursor.execute(sql)
        data = cursor.fetchall()
        result = [
            {
                "video_id": line[0],
                "key_words": json.loads(line[1]),
                "search_keys": json.loads(line[2]),
                "extra_keys": json.loads(line[3]),
            }
            for line in data
        ]
        return result

    # 敏感词
    @classmethod
    def select_sensitive_words(cls):
        """
        sensitive words
        :return:
        """
        connection = pymysql.connect(
            host="rm-bp1k5853td1r25g3n690.mysql.rds.aliyuncs.com",  # 数据库IP地址，内网地址
            port=3306,  # 端口号
            user="wx2016_longvideo",  # mysql用户名
            passwd="wx2016_longvideoP@assword1234",  # mysql用户登录密码
            db="longvideo",  # 数据库名
            charset="utf8mb4"  # 如果数据库里面的文本是utf8编码的，charset指定是utf8
        )
        sql = "select `keyword` from wx_sensitive_word where `data_status` = 0"
        cursor = connection.cursor()
        cursor.execute(sql)
        data = cursor.fetchall()
        result = [line[0] for line in data]
        return result


class KimiServer(object):
    """
    Kimi Server
    """
    @classmethod
    def ask_kimi(cls, question):
        """
        Ask Kimi for information
        :param question: tiny text
        :return: "{}"
        """
        single_title_prompt = """
            我会给你一个视频标题，需要你帮我用你所学的知识来帮我分析出以下信息，信息我都写到 json 里面了
            {
                "key_words": [],  # 返回三个关键词
                "search_keys": [], # 标题可能的搜索关键词，返回 3 个
                "extra_keys": [], # 关心这个视频的用户还会关心哪些关键词， 返回 3 个
                "theme": 标题的主题， 用一个词概括
            }
            只需要返回一个 json，key 和上面的一样，
            我给你的标题是: 
            """
        client = OpenAI(
            api_key='sk-tz1VaKqksTzk0F8HxlU4YVGwj7oa1g0c0puGNUZrdn9MDtzm',
            base_url="https://api.moonshot.cn/v1"
        )
        chat_completion = client.chat.completions.create(
            messages=[
                {
                    "role": "user",
                    "content": single_title_prompt + question,
                }
            ],
            model="moonshot-v1-8k",
        )
        response = chat_completion.choices[0].message.content.replace('```json', '').replace('```', '')
        try:
            response = json.loads(response)
            return response
        except:
            return {}

    @classmethod
    def ask_kimi_and_save_to_local(cls, info_tuple):
        """
        save file to local
        :return:
        """
        title, trace_id, save_path = info_tuple[0], info_tuple[1], info_tuple[2]
        if os.path.exists(save_path):
            logging(
                code="2001",
                info="该 video 信息已经挖掘完成---{}".format(title),
                function="ask_kimi_and_save_to_local",
                trace_id=trace_id,
            )
        else:
            os.makedirs(os.path.dirname(save_path), exist_ok=True)
            if not title:
                result = {}
            else:
                result =  cls.ask_kimi(title)
            logging(
                code="2001",
                info="kimi-result",
                data=result,
                trace_id=trace_id,
                function="ask_kimi_and_save_to_local"
            )
            with open(save_path, "w", encoding="utf-8") as f:
                f.write(json.dumps(result, ensure_ascii=False))