357 lines
14 KiB
Python
357 lines
14 KiB
Python
from sqlalchemy.orm import Session
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from typing import List, Optional, Dict, Any, Set, Tuple,Union
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from ..models.level_data import LevelData
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from ..models.daily import DailyData
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from .base import BaseService
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from ..models.settlement_data import SettlementData
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from sqlalchemy import func, select, desc,over
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from sqlalchemy.orm import Session
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import logging
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logger = logging.getLogger(__name__)
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class DailyDataService(BaseService[DailyData]):
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def __init__(self):
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super().__init__(DailyData)
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def _dict_to_instance(self, data_dict: Dict) -> DailyData:
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"""辅助方法：将单个字典转换为 DailyData 实例"""
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model_fields = [col.name for col in DailyData.__table__.columns]
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filtered_data = {k: v for k, v in data_dict.items() if k in model_fields}
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return DailyData(**filtered_data)
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def _ensure_instances(self, data: Union[List[Dict], List[DailyData]]) -> List[DailyData]:
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"""确保输入数据是 DailyData 实例列表"""
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if not isinstance(data, list):
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raise TypeError(f"输入必须是列表，而非 {type(data)}")
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instances = []
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for item in data:
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if isinstance(item, DailyData):
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instances.append(item)
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elif isinstance(item, dict):
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instances.append(self._dict_to_instance(item))
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else:
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raise TypeError(f"列表元素必须是 dict 或 DailyData 实例，而非 {type(item)}")
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return instances
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def batch_create_by_account_nyid(self, db: Session, data: Union[List[Dict], List[DailyData]]) -> List[DailyData]:
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"""
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批量创建记录，支持两种输入格式：
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- List[DailyData]：模型实例列表
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- List[dict]：字典列表（自动转换为实例）
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通过 (account_id, NYID) 联合判断是否已存在，存在则忽略 --(暂时取消查重)
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"""
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try:
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data_list = self._ensure_instances(data)
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except TypeError as e:
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logger.error(f"数据格式错误：{str(e)}")
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raise
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target_pairs: List[Tuple[int, int]] = [
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(item.account_id, item.NYID)
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for item in data_list
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if item.account_id is not None and item.NYID is not None
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]
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if not target_pairs:
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logger.warning("批量创建失败：所有记录缺少 account_id 或 NYID")
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return []
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# 取消查重处理
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# existing_pairs: Set[Tuple[int, int]] = {
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# (item.account_id, item.NYID)
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# for item in db.query(DailyData.account_id, DailyData.NYID)
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# .filter(DailyData.account_id.in_([p[0] for p in target_pairs]),
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# DailyData.NYID.in_([p[1] for p in target_pairs]))
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# .all()
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# }
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to_create = [
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item for item in data_list
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# if (item.account_id, item.NYID) not in existing_pairs
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]
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# ignored_count = len(data_list) - len(to_create)
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# if ignored_count > 0:
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# logger.info(f"批量创建时忽略{ignored_count}条已存在记录（account_id和NYID已存在）")
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logger.info(f"批量创建 {to_create}")
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if not to_create:
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return []
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# 修复点：使用 add_all 替代 bulk_save_objects，确保对象被会话跟踪
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db.add_all(to_create) # 这里是关键修改
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db.commit()
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# 现在可以安全地刷新实例了
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for item in to_create:
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db.refresh(item)
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return to_create
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def get_nyid_by_point_id(
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self,
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db: Session,
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point_ids: Optional[List[int]] = None,
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max_num: int = 1
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) -> List[List[dict]]:
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"""
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获取指定point_id的记录，每个point_id的前max_num条记录放在同一个子列表中
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返回格式：[[point1_records...], [point2_records...]]
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"""
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# 处理参数默认值
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point_ids = point_ids or []
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if max_num <= 0:
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return []
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# 窗口函数：按point_id分组，每组内按NYID降序编号
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row_num = over(
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func.row_number(),
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partition_by=SettlementData.point_id,
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order_by=desc(SettlementData.NYID)
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).label("row_num")
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# 模型字段列表
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model_columns = [getattr(SettlementData, col.name) for col in SettlementData.__table__.columns]
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# 基础条件
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base_conditions = [
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SettlementData.useflag.isnot(None),
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SettlementData.useflag != 0
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]
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if point_ids:
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base_conditions.append(SettlementData.point_id.in_(point_ids))
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# 子查询
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subquery = (
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select(*model_columns, row_num)
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.where(*base_conditions)
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.subquery()
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)
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# 主查询：筛选每个point_id的前max_num条
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query = (
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select(subquery)
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.where(subquery.c.row_num <= max_num)
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.order_by(subquery.c.point_id, subquery.c.row_num)
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)
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# 执行查询
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results = db.execute(query).all()
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grouped: Dict[int, List[dict]] = {} # 键：point_id，值：该point_id的所有记录（子列表）
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field_names = [col.name for col in SettlementData.__table__.columns]
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for row in results:
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item_dict = {field: getattr(row, field) for field in field_names}
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try:
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pid = int(item_dict["point_id"]) # 确保point_id为整数
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except (KeyError, ValueError):
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continue # 跳过无效记录
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# 同一point_id的记录放入同一个列表
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if pid not in grouped:
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grouped[pid] = [] # 初始化子列表
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grouped[pid].append(item_dict) # 追加到子列表
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# 按输入point_ids顺序整理结果（关键：每个point_id对应一个子列表）
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if not point_ids:
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point_ids = sorted(grouped.keys()) # 若无指定，按point_id排序
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# 构建最终结果：每个point_id的记录作为一个子列表
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return [grouped.get(pid, []) for pid in point_ids]
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# 获取所有的今日数据
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def get_all_daily_data(
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self,
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db: Session,
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user_id: Optional[int] = None # 可选参数：按user_id筛选
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) -> List[Dict[str, Any]]:
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"""
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获取所有日常数据（DailyData），支持按user_id筛选
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:param db: 数据库会话
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:param user_id: 可选用户ID，若提供则只返回该用户的数据
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:return: 日常数据字典列表，包含所有字段
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"""
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try:
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# 基础查询
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query = db.query(DailyData)
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# 若提供了user_id，则添加筛选条件
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if user_id is not None:
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query = query.filter(DailyData.user_id == user_id)
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logger.info(f"查询user_id={user_id}的所有日常数据")
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else:
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logger.info("查询所有日常数据")
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# 执行查询并获取所有记录
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daily_records = query.all()
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# 转换为字典列表（保留所有字段）
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result = []
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for record in daily_records:
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record_dict = {
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column.name: getattr(record, column.name)
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for column in DailyData.__table__.columns
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}
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result.append(record_dict)
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logger.info(f"查询完成，共获取{len(result)}条日常数据")
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return result
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except Exception as e:
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logger.error(f"获取日常数据失败：{str(e)}", exc_info=True)
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raise e
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def get_daily_data_by_account(
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self,
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db: Session,
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account_id: str, # 账号ID（必填，因为是核心筛选条件）
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user_id: Optional[int] = None # 可选参数：额外按user_id筛选
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) -> List[Dict[str, Any]]:
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"""
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根据account_id获取对应日常数据，支持额外按user_id筛选
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:param db: 数据库会话
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:param account_id: 账号ID（必填），用于精准筛选数据
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:param user_id: 可选用户ID，若提供则则进一步筛选该用户的数据
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:return: 符合条件的日常数据字典列表，包含所有字段
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"""
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try:
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# 基础查询：先按account_id筛选（必填条件）
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query = db.query(DailyData).filter(DailyData.account_id == account_id)
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# 若提供了user_id，则添加额外筛选条件
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if user_id is not None:
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query = query.filter(DailyData.user_id == user_id)
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logger.info(f"查询account_id={account_id}且user_id={user_id}的日常数据")
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else:
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logger.info(f"查询account_id={account_id}的所有日常数据")
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# 执行查询并获取记录
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daily_records = query.all()
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# 转换为字典列表（保留所有字段）
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result = []
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for record in daily_records:
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record_dict = {
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column.name: getattr(record, column.name)
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for column in DailyData.__table__.columns
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}
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result.append(record_dict)
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logger.info(f"查询完成，account_id={account_id}对应{len(result)}条日常数据")
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return result
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except Exception as e:
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logger.error(f"获取account_id={account_id}的日常数据失败：{str(e)}", exc_info=True)
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raise e
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def create_daily_from_linecode(
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self,
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db: Session,
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linecode: str,
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account_id: Optional[int] = None
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) -> List[DailyData]:
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"""
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通过水准线路编码生成 daily 数据
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业务逻辑：
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1. 在水准数据表（level_data）中查找符合 linecode 的记录，且 NYID 最大
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2. 通过 NYID 查询沉降数据表（settlement_data）
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3. 通过沉降数据的 point_id 查询观测点表（checkpoint），得到 section_id
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4. 通过 section_id 查询断面表（section_data），得到 account_id
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5. 整合这些数据，形成 daily 对象，插入到数据库表
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Args:
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db: 数据库会话
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linecode: 水准线路编码
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account_id: 可选的账户ID筛选条件
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Returns:
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创建的 DailyData 记录列表
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"""
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try:
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logger.info(f"开始处理 linecode={linecode} 的 daily 数据生成请求")
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from ..models.level_data import LevelData
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from ..models.settlement_data import SettlementData
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from ..models.checkpoint import Checkpoint
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from ..models.section_data import SectionData
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# 1. 在水准数据表中查找符合 linecode 的记录，且 NYID 最大
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level_data_list = db.query(LevelData)\
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.filter(LevelData.linecode == linecode)\
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.all()
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if not level_data_list:
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raise ValueError(f"未找到 linecode={linecode} 对应的水准数据")
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# 找到 NYID 最大的记录（将 String 转换为数字进行比较）
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max_nyid = max(level_data_list, key=lambda x: int(x.NYID) if x.NYID.isdigit() else 0)
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target_nyid = max_nyid.NYID
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logger.info(f"找到最大 NYID: {target_nyid}")
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# 2. 通过 NYID 查询沉降数据
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settlement_data_list = db.query(SettlementData)\
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.filter(SettlementData.NYID == target_nyid)\
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.all()
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if not settlement_data_list:
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raise ValueError(f"未找到 NYID={target_nyid} 对应的沉降数据")
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# 3. 遍历沉降数据，构建 daily 记录
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daily_records = []
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for settlement in settlement_data_list:
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# 3.1 通过沉降数据的 point_id 查询观测点表，得到 section_id
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checkpoint = db.query(Checkpoint)\
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.filter(Checkpoint.point_id == settlement.point_id)\
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.first()
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if not checkpoint:
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logger.warning(f"未找到 point_id={settlement.point_id} 对应的观测点，跳过该记录")
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continue
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# 3.2 通过 section_id 查询断面表，得到 account_id
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section = db.query(SectionData)\
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.filter(SectionData.section_id == checkpoint.section_id)\
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.first()
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if not section:
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logger.warning(f"未找到 section_id={checkpoint.section_id} 对应的断面，跳过该记录")
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continue
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# 3.3 从断面数据中获取 account_id，作为 user_id
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user_id = int(section.account_id) if section.account_id else None
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if not user_id:
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logger.warning(f"断面 section_id={checkpoint.section_id} 没有 account_id，跳过该记录")
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continue
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# 如果提供了 account_id 筛选条件，则只处理匹配的记录
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if account_id is not None and user_id != account_id:
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continue
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# 3.4 构建 daily 记录
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daily_record = DailyData(
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user_id=user_id,
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account_id=user_id,
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point_id=settlement.point_id,
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NYID=settlement.NYID,
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linecode=linecode,
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section_id=checkpoint.section_id,
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remaining=0,
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is_all=0
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)
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daily_records.append(daily_record)
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if not daily_records:
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logger.warning(f"没有生成任何 daily 记录")
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return []
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# 4. 批量插入 daily 记录
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created_records = self.batch_create_by_account_nyid(db, daily_records)
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logger.info(f"成功生成 {len(created_records)} 条 daily 记录")
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return created_records
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except ValueError:
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raise
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except Exception as e:
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logger.error(f"生成 daily 数据失败：{str(e)}", exc_info=True)
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raise |