import asyncio
import json
import os
import sys
import orjson
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.triggers.interval import IntervalTrigger
from loguru import logger
logger.add("/app/logs/consumption.log", rotation="10 MB")

sys.path.append('/app')

from utils.aliyun_log import AliyunLogger
from utils.google_ai_studio import GoogleAI
from utils.piaoquan import PQ
from utils.redis import RedisHelper, content_video_data
from utils.mysql_db import MysqlHelper




class ConsumptionRecommend(object):
    @classmethod
    async def run(cls):
        logger.info(f"[处理] 开始获取redis数据")

        while True:
            task = RedisHelper().get_client().rpop(name='task:video_insight')

            if not task:
                logger.info('[处理] 无待执行的扫描任务')
                return

            task = orjson.loads(task)
            logger.info(f"[处理] 获取redis数据{task}")
            video_id = task['video_id']

            count_sql = f"""select count(1) from video_demand_analysis where video_id = {video_id}"""
            count = MysqlHelper.get_values(count_sql)

            if not count or count[0][0] == 0:
                logger.info(f"[处理] 视频ID {video_id} 可用")
                # 这里可以继续处理 video_id
                break
            else:
                logger.info(f"[处理] 视频ID {video_id} 重复过滤，继续获取下一个任务")

        logger.info(f"[处理] 开始获取原视频OSS地址")
        video_title, video_path = PQ.get_pq_oss(video_id)
        if not video_path:
            return
        logger.info(f"[处理] 获取原视频OSS地址，视频链接:{video_path}")
        video_url = f"http://rescdn.yishihui.com/{video_path}"
        logger.info(f"[处理] 开始分析视频")
        api_key = os.getenv("VIDEO_INSIGHT_GEMINI_API_KEY")
        # api_key = 'AIzaSyBFLCKMLX-Pf1iXoC2e_rMDLbNhNG23vTk'
        logger.info(f"[处理] 使用的API_KEY:{api_key}")
        text = GoogleAI.run(api_key, video_url)
        if "[异常]" in text:
            content_video_data(json.dumps(task))

        # Parse JSON data
        data = json.loads(orjson.dumps(text).decode())
        # Generate SQL insert statement
        sql = """
        INSERT INTO video_demand_analysis (
            video_id, video_link, video_title, content_type,
            demand_order, demand_score, user_demand, demand_category,
            demand_reason, product_hook, hook_time, hook_desc,
            hook_type, landing_desc, landing_type, platform_case, reasoning_process
        ) VALUES
        """
        # Add values for each entry
        values = []
        link = f"""https://admin.piaoquantv.com/cms/post-detail/{video_id}/detail"""

        for entry in data:
            value = f"""(
                {video_id}, '{link}', '{video_title}', NULL,
                {entry.get('需求排序序号', '')}, {entry.get('需求强烈程度分值', '')}, '{entry.get('用户具体的需求描述', '')}', '{entry.get('需求分类', '')}',
                '{entry.get('推测出该点需求的原因', '')}', '{entry.get('描述出与需求对应的产品钩子', '')}', '{entry.get('产品形式出现到消失的时间点', '')}', '{entry.get('钩子形式描述', '')}',
                '{entry.get('钩子形式类型', '')}', '{entry.get('点击钩子后的产品落地形态描述', '')}', '{entry.get('产品落地形态分类', '')}', '{entry.get('其他平台案例', '')}, '{entry.get('输出你的推理过程', '')}'
            )"""
            values.append(value)
        # Combine SQL statement and values
        sql += ",\n".join(values) + ";"
        # Print SQL statement
        logger.info(f"{sql}")
        MysqlHelper.update_values(sql)

        # AliyunLogger.logging(str(video_id), orjson.dumps(text).decode())
        logger.info(f"[处理] 写入数据库成功")


async def run():
    scheduler = AsyncIOScheduler()
    try:
        logger.info(f"[处理] 开始启动")
        scheduler.add_job(ConsumptionRecommend.run, trigger=IntervalTrigger(minutes=2))  # 每2分钟启动一次
        scheduler.start()
        await asyncio.Event().wait()
    except KeyboardInterrupt:
        pass
    except Exception as e:
        logger.error(f"[处理] 启动异常，异常信息:{e}")
        pass
    finally:
        scheduler.shutdown()


if __name__ == '__main__':
    # asyncio.run(ConsumptionRecommend.run())
    loop = asyncio.get_event_loop()
    loop.run_until_complete(run())