import json
import concurrent
import datetime
from tqdm import tqdm
from pymysql.cursors import DictCursor
from concurrent.futures import ThreadPoolExecutor
from applications.api import fetch_deepseek_response
from applications.db import DatabaseConnector
from config import long_articles_config

INIT_STATUS = 0
PROCESSING_STATUS = 1
SUCCESS_STATUS = 2
FAIL_STATUS = 99


def generate_prompt(title):
    prompt = f"""
    **输入标题**：  
    {title}
    task1:`请按以下维度解构标题核心元素：`  
    1. **核心人物**（带身份标签）：
    2. **冲突双方**：
    3. **核心事件**：
    4. **反常细节**：
    5. **时空坐标**：
    6. **认知钩子**：
    7. **隐性议题**：
    task2： 请基于 task1 结构元素，套用以下公式来生成关键词
    | 公式类型        | 生成逻辑                                
    |--------------- |----------------------------
    | **悬念挖掘式**  | [人物]+[反常行为]+[学科解释需求]       
    | **时空穿越式**  | [历史事件]在[年代]的[群体]解读          
    | **技术拆解式**  | [人物]的[专业领域]+[技术术语]           
    | **文化对抗式**  | [国家A]如何重新定义[国家B]的[历史符号]
    | **暗线追踪式**  | [微小物证]揭示的[大历史真相]        

    task3: 基于 task2 生成的关键词矩阵，生成一批长尾词，通过这些词可以在媒体平台搜索到相关内容，
           要求这些内容对 50 岁以上的中老年人有一定的吸引性

    输出： 只需要输出task3 生成的长尾词列表
    输出格式： LIST
    输出示例： ["长尾词1", "长尾词2", "长尾词3", "长尾词4", ...]
    """
    return prompt

def lock_task(db_client, task_md5):
    lock_query = f"""
        update `article_pool_promotion_source`
        set association_status = %s, association_update_timestamp = %s
        where title_md5 = %s and association_status = %s;
    """
    affected_rows = db_client.save(lock_query, params=(PROCESSING_STATUS, datetime.datetime.now(), task_md5, INIT_STATUS))
    return affected_rows

def rollback_task(db_client):
    return 

def generate_single_title(task):
    title = task['title']
    thread_client = DatabaseConnector(long_articles_config)
    thread_client.connect()

    lock_result = lock_task(thread_client, task['title_md5'])
    if not lock_result:
        return

    prompt = generate_prompt(title)
    response = fetch_deepseek_response(model="DeepSeek-R1", prompt=prompt)
    title_list_str = response.strip()
    try:
        title_list = json.loads(title_list_str)
    except json.decoder.JSONDecodeError:
        title_list = title_list_str
    except Exception as e:
        # set as fail
        update_query = f"""
                update `article_pool_promotion_source`
                set association_status = %s, association_update_timestamp = %s
                where title_md5 = %s and association_status = %s;
                """
        thread_client.save(
            update_query,
            params=(
                FAIL_STATUS, datetime.datetime.now(), task['title_md5'],
                PROCESSING_STATUS
            )
        )
        return

    # set as success
    update_query = f"""
        update `article_pool_promotion_source`
        set association_status = %s, association_update_timestamp = %s, association_title = %s
        where title_md5 = %s and association_status = %s;
        """
    thread_client.save(
        update_query,
        params=(
            SUCCESS_STATUS, datetime.datetime.now(), json.dumps(title_list, ensure_ascii=False), task['title_md5'], PROCESSING_STATUS
        )
    )

def get_task_list():
    db = DatabaseConnector(long_articles_config)
    db.connect()
    fetch_query = f"""
        select distinct title, title_md5
        from `article_pool_promotion_source`
        where `level` = 'autoArticlePoolLevel1' 
            and status = 1 and `deleted` = 0 and association_status = 0 
            order by `create_timestamp` desc 
            limit 1000;
    """
    title_list = db.fetch(fetch_query, cursor_type=DictCursor)
    return title_list

def main():
    task_list = get_task_list()
    with ThreadPoolExecutor(max_workers=8) as executor:
        futures = [
            executor.submit(generate_single_title, task) for task in task_list
        ]
        for future in tqdm(
                concurrent.futures.as_completed(futures),
                total=len(task_list),
                desc="处理进度",
        ):
            future.result()

if __name__ == '__main__':
    main()