rag_server/applications/utils/mysql/mapper.py

from .base import BaseMySQLClient


class Dataset(BaseMySQLClient):
    async def update_dataset_status(self, dataset_id, ori_status, new_status):
        query = """
            UPDATE dataset SET status = %s WHERE id = %s AND status = %s;
        """
        return await self.pool.async_save(
            query=query, params=(new_status, dataset_id, ori_status)
        )

    async def select_dataset(self, status=1):
        query = """
            SELECT * FROM dataset WHERE status = %s;
        """
        return await self.pool.async_fetch(query=query, params=(status,))

    async def add_dataset(self, name):
        query = """
            INSERT INTO dataset (name) VALUES (%s);
        """
        return await self.pool.async_save(query=query, params=(name,))

    async def select_dataset_by_id(self, id_, status: int = 1):
        query = """
            SELECT * FROM dataset WHERE id = %s AND status = %s;
        """
        return await self.pool.async_fetch(query=query, params=(id_, status))

    async def select_dataset_by_name(self, name, status: int = 1):
        query = """
            SELECT * FROM dataset WHERE name = %s AND status = %s;
        """
        return await self.pool.async_fetch(query=query, params=(name, status))


class ChatResult(BaseMySQLClient):
    async def insert_chat_result(
        self,
        query_text,
        dataset_ids,
        search_res,
        chat_res,
        score,
        has_answer,
        ai_answer,
        ai_source,
        ai_status,
        final_result,
        is_web=None,
    ):
        query = """
                    INSERT INTO chat_res
                        (query, dataset_ids, search_res, chat_res, score, has_answer, ai_answer, ai_source, ai_status, is_web, final_result) 
                        VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);
                """
        return await self.pool.async_save(
            query=query,
            params=(
                query_text,
                dataset_ids,
                search_res,
                chat_res,
                score,
                has_answer,
                ai_answer,
                ai_source,
                ai_status,
                is_web,
                final_result,
            ),
        )

    async def select_chat_results(
        self, page_num: int, page_size: int, order_by=None, is_web: int = 1
    ):
        """
        分页查询 chat_res 表，并返回分页信息
        :param page_num: 页码，从 1 开始
        :param page_size: 每页数量
        :param order_by: 排序条件，例如 {"id": "desc"} 或 {"created_at": "asc"}
        :param is_web: 是否为 Web 数据（默认 1）
        :return: dict，包含 entities、total_count、page、page_size、total_pages
        """
        if order_by is None:
            order_by = {"id": "desc"}
        offset = (page_num - 1) * page_size

        # 动态拼接 where 条件
        where_clauses = ["is_web = %s"]
        params = [is_web]

        where_sql = " AND ".join(where_clauses)

        # 动态拼接 order by
        order_field, order_direction = list(order_by.items())[0]
        order_sql = f"ORDER BY {order_field} {order_direction.upper()}"

        # 查询总数
        count_query = f"SELECT COUNT(*) as total_count FROM chat_res WHERE {where_sql};"
        count_result = await self.pool.async_fetch(
            query=count_query, params=tuple(params)
        )
        total_count = count_result[0]["total_count"] if count_result else 0

        # 查询分页数据
        query = f"""
            SELECT search_res, query,create_time, chat_res, ai_answer, final_result FROM chat_res
            WHERE {where_sql}
            {order_sql}
            LIMIT %s OFFSET %s;
        """
        params.extend([page_size, offset])
        entities = await self.pool.async_fetch(query=query, params=tuple(params))

        total_pages = (total_count + page_size - 1) // page_size  # 向上取整

        return {
            "entities": entities,
            "total_count": total_count,
            "page": page_num,
            "page_size": page_size,
            "total_pages": total_pages,
        }