import datetime
from pymysql.cursors import DictCursor

from applications import bot, aiditApi
from applications.db import DatabaseConnector
from config import long_articles_config

generate_plan_map = {
    "gzh": "20250321060236316993274",
    "sph": "20250321055917369191992",
    "toutiao": "20250321060107537529410",
    "hksp": "20250321060438155415100",
}

platform_name_map = {
    "gzh": "公众号",
    "sph": "视频号",
    "toutiao": "头条号",
    "hksp": "好看视频",
}

class PublishSingleVideoPoolVideos:
    def __init__(self):
        self.db_client = DatabaseConnector(db_config=long_articles_config)
        self.db_client.connect()

    def get_task_list(self, platform:str) -> list[dict]:
        match platform:
            case "sph":
                task_count = 218
            case "gzh":
                task_count = 201
            case "toutiao":
                task_count = 411
            case "hksp":
                task_count = 165
            case _:
                return []

        fetch_query = f"""
            select id, content_trace_id, pq_vid
            from single_video_transform_queue
            where status = 0 and platform = '{platform}'
            order by score desc
            limit 2000
        """
        fetch_response = self.db_client.fetch(query=fetch_query, cursor_type=DictCursor)
        return fetch_response

    def update_tasks_status(self,
                           task_id_tuple: tuple,
                           ori_status: int,
                           new_status: int)-> int:
        update_query = f"""
            update single_video_transform_queue
            set status = %s
            where id in %s and status = %s;
        """
        affected_rows = self.db_client.save(
            query=update_query,
            params=(new_status, task_id_tuple, ori_status)
        )
        return affected_rows

    def deal(self):
        """
        entrance of this class
        """
        platform_list = ["sph", "gzh", "toutiao", "hksp"]
        for platform in platform_list:
            task_list = self.get_task_list(platform)
            task_id_tuple = tuple([task['id'] for task in task_list])
            vid_list = [task['pq_vid'] for task in task_list]
            if vid_list:
                # create video crawler plan
                plan_name = f"{platform_name_map[platform]}-{datetime.datetime.today().strftime('%Y-%m-%d')}-视频数量： {len(vid_list)}"
                crawler_plan_response = aiditApi.auto_create_single_video_crawler_task(
                    plan_name=plan_name,
                    plan_tag="单视频供给冷启动",
                    video_id_list=vid_list,
                )
                crawler_plan_id = crawler_plan_response["data"]["id"]
                crawler_plan_name = crawler_plan_response["data"]["name"]
                # update status
                self.update_tasks_status(
                    task_id_tuple=task_id_tuple,
                    ori_status=0,
                    new_status=1,
                )
                # bind crawler plan to generate plan
                crawler_task_list = [
                    {
                        "contentType": 1,
                        "inputSourceModal": 4,
                        "inputSourceChannel": 10,
                        "inputSourceType": 2,
                        "inputSourceValue": crawler_plan_id,
                        "inputSourceSubType": None,
                        "fieldName": None,
                        "inputSourceLabel": "原始帖子-视频-票圈小程序-内容添加计划-{}".format(crawler_plan_name),
                    }
                ]
                generate_plan_id = generate_plan_map[platform]
                aiditApi.bind_crawler_task_to_generate_task(
                    crawler_task_list=crawler_task_list,
                    generate_task_id=generate_plan_id,
                )