from utils.get_logger import setup_logger
from rag.db import MilvusOperate, MysqlOperate
from .slice_metadata import process_single_slice_metadata

logger = setup_logger(__name__)


async def update_slice(slice_json: dict) -> dict:
    """
    更新切片信息，成功后自动生成切片元数据
    
    参数:
    - knowledge_id: 知识库ID
    - slice_id: 切片ID
    - document_id: 文档ID
    - slice_text: 切片文本
    
    返回:
    - dict: 操作结果
    """
    logger.info(f"更新切片信息的请求参数：{slice_json}")
    collection_name = slice_json.get("knowledge_id")
    embedding_name = slice_json.get("embedding_id")
    resp = MilvusOperate(collection_name=collection_name, embedding_name=embedding_name)._put_by_id(slice_json)
    logger.info(f"更新切片信息的结果：{resp}")
    
    # 更新成功后，查询文档元数据开关并生成切片元数据
    if resp.get("code") == 200:
        document_id = slice_json.get("document_id")
        mysql_client = MysqlOperate()
        success, flags = mysql_client.query_doc_metadata_flags(document_id)
        logger.info(f'{flags.get("qa")}, {flags.get("question")}, {flags.get("summary")}')
        if success and any([flags.get("qa"), flags.get("question"), flags.get("summary")]):
            slice_id = slice_json.get("slice_id")
            slice_text = slice_json.get("slice_text")
            separator_num = slice_json.get("customSeparator", "-1")
            # 重试机制：最多重试3次
            max_retries = 3
            for attempt in range(max_retries):
                meta_success, meta_msg = await process_single_slice_metadata(
                    knowledge_id=collection_name,
                    slice_id=slice_id,
                    slice_text=slice_text,
                    enable_qa=flags.get("qa", False),
                    enable_question=flags.get("question", False),
                    enable_summary=flags.get("summary", False),
                    embedding_id=embedding_name,
                    separator_num=separator_num
                )
                if meta_success:
                    logger.info(f"切片 {slice_id} 元数据生成成功")
                    break
                logger.warning(f"切片 {slice_id} 元数据生成失败 (第{attempt+1}次): {meta_msg}")
                if attempt == max_retries - 1:
                    logger.error(f"切片 {slice_id} 元数据生成失败，已达最大重试次数")
    
    return resp


async def insert_slice(slice_json: dict) -> dict:
    """
    新增切片信息，成功后自动生成切片元数据
    
    参数:
    - knowledge_id: 知识库ID
    - document_id: 文档ID
    - slice_text: 切片文本
    
    返回:
    - dict: 操作结果
    """
    logger.info(f"新增切片信息的请求参数：{slice_json}")
    collection_name = slice_json.get("knowledge_id")
    embedding_name = slice_json.get("embedding_id")
    resp = MilvusOperate(collection_name=collection_name, embedding_name=embedding_name)._insert_slice(slice_json)
    logger.info(f"新增切片信息的结果：{resp}")
    
    # 新增成功后，查询文档元数据开关并生成切片元数据
    if resp.get("status") == "insert_success":
        document_id = slice_json.get("document_id")
        slice_id = resp.get("slice_id")
        mysql_client = MysqlOperate()
        success, flags = mysql_client.query_doc_metadata_flags(document_id)
        if success and any([flags.get("qa"), flags.get("question"), flags.get("summary")]):
            slice_text = slice_json.get("slice_text")
            separator_num = slice_json.get("customSeparator", "-1")
            # 重试机制：最多重试3次
            max_retries = 3
            for attempt in range(max_retries):
                meta_success, meta_msg = await process_single_slice_metadata(
                    knowledge_id=collection_name,
                    slice_id=slice_id,
                    slice_text=slice_text,
                    enable_qa=flags.get("qa", False),
                    enable_question=flags.get("question", False),
                    enable_summary=flags.get("summary", False),
                    embedding_id=embedding_name,
                    separator_num=separator_num
                )
                if meta_success:
                    logger.info(f"切片 {slice_id} 元数据生成成功")
                    break
                logger.warning(f"切片 {slice_id} 元数据生成失败 (第{attempt+1}次): {meta_msg}")
                if attempt == max_retries - 1:
                    logger.error(f"切片 {slice_id} 元数据生成失败，已达最大重试次数")
    
    return resp