1.自动更新今日需要抓取数据

2.工况接口返回

app/models/account.py

@@ -13,4 +13,13 @@ class Account(Base):
     project_name = Column(String(1000), comment="项目名称")
     created_at = Column(DateTime, server_default=func.now(), comment="创建时间")
     updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now(), comment="更新时间")
-    update_time = Column(String(1000), nullable=False, comment="更新时间跨度")
+    update_time = Column(String(1000), nullable=False, comment="更新时间跨度")
+
+    
+    # 模型转字典
+    def to_dict(self):
+        """将模型实例转换为字典，支持 Pydantic 序列化"""
+        return {
+            column.name: getattr(self, column.name)
+            for column in self.__table__.columns
+        }

app/models/checkpoint.py

@@ -8,4 +8,12 @@ class Checkpoint(Base):
     aname = Column(String(100), nullable=False, comment="观察点名称")
     burial_date = Column(String(100), comment="埋设日期")
     section_id = Column(String(100), nullable=False, comment="所属断面id")
-    point_id = Column(String(100), nullable=False, comment="观察点id")
+    point_id = Column(String(100), nullable=False, comment="观察点id")
+
+        # 模型转字典
+    def to_dict(self):
+        """将模型实例转换为字典，支持 Pydantic 序列化"""
+        return {
+            column.name: getattr(self, column.name)
+            for column in self.__table__.columns
+        }

app/models/daily.py

@@ -0,0 +1,12 @@
+from sqlalchemy import Column, Integer, String
+from ..core.database import Base
+
+class DailyData(Base):
+    __tablename__ = "daily"
+
+    id = Column(Integer, primary_key=True, index=True, autoincrement=True)
+    account_id = Column(Integer, nullable=False, comment="账户id")
+    point_id = Column(String(100), comment="测点id")
+    NYID = Column(String(100), nullable=False, comment="期数id")
+    linecode = Column(String(255), nullable=False, comment="水准线路编码")
+    section_id = Column(String(255), nullable=False, comment="所属断面id")

app/models/level_data.py

@@ -10,4 +10,12 @@ class LevelData(Base):
     wsphigh = Column(String(100), comment="工作基点高程序列(m)")
     NYID = Column(String(100), nullable=False, comment="期数id", index=True)
     createDate = Column(DateTime, comment="上传时间")
-    mtype = Column(String(100), comment="水准观测类型")
+    mtype = Column(String(100), comment="水准观测类型")
+
+    # 模型转字典
+    def to_dict(self):
+        """将模型实例转换为字典，支持 Pydantic 序列化"""
+        return {
+            column.name: getattr(self, column.name)
+            for column in self.__table__.columns
+        }

app/models/section_data.py

@@ -18,4 +18,12 @@ class SectionData(Base):
     foundation_treatment_method = Column(String(100), comment="地基处理方法")
     rock_mass_classification = Column(String(100), comment="围岩级别")
     account_id = Column(String(100), nullable=True, comment="账号id", index=True)
-    section_id = Column(String(100), nullable=False, comment="断面id", index=True)
+    section_id = Column(String(100), nullable=False, comment="断面id", index=True)
+
+        # 模型转字典
+    def to_dict(self):
+        """将模型实例转换为字典，支持 Pydantic 序列化"""
+        return {
+            column.name: getattr(self, column.name)
+            for column in self.__table__.columns
+        }

app/models/settlement_data.py

@@ -1,6 +1,6 @@
 from sqlalchemy import Column, Integer, String, DateTime
 from ..core.database import Base
-
+from datetime import datetime
 class SettlementData(Base):
     __tablename__ = "settlement_data"
 
@@ -23,4 +23,15 @@ class SettlementData(Base):
     sjName = Column(String(100), comment="司镜人员")
     useflag = Column(String(100))
     workinfoname = Column(String(100), comment="观测阶段")
-    upd_remark = Column(String(1000), comment="备注")
+    upd_remark = Column(String(1000), comment="备注")
+    def to_dict(self):
+        data = {}
+        for column in self.__table__.columns:
+            field_value = getattr(self, column.name)
+            # 时间字段格式化（不影响原生字段名）
+            if isinstance(field_value, datetime):
+                data[column.name] = field_value.strftime("%Y-%m-%d %H:%M:%S")
+            else:
+                data[column.name] = field_value
+        # 【关键】删除之前添加的max_nyid，只保留原生NYID字段
+        return data