重构第一版：重新验证2.0推荐写法
This commit is contained in:
geeker
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from typing import Optional
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from sqlalchemy import Column, Integer, create_engine, String, DateTime,func
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from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession
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from sqlalchemy.orm import sessionmaker, declarative_base, DeclarativeBase, Mapped,mapped_column
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from fastapi import APIRouter, Depends
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from debug.orm_app.sqlalchemy_full_app import User
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from datetime import datetime
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db_url = "mysql+pymysql://geeker:geeker@localhost:3306/fastapi_tutor?charset=utf8mb4"
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engine = create_engine(db_url)
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session = sessionmaker(engine, expire_on_commit=False)
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# Base 基类
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class Base(DeclarativeBase):
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pass
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class MetaBase(Base):
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__tablename__ = "base_mapped_column"
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# id = Column(Integer, primary_key=True)
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id:Mapped[int] = mapped_column(primary_key=True,autoincrement=True,nullable=False)
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# mapped_column： 默认 nullable=False
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num:Mapped[str] = mapped_column(String(30),unique=True) # 唯一键
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name:Mapped[str] = mapped_column(String(30),default="") #
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name1:Mapped[str] = mapped_column(String(30),nullable=True)
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# name2:Optional[str] = mapped_column(String(30)) # 报错
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name3:Mapped[str | None] = mapped_column(String(30),nullable=True)
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name4:Mapped[Optional[str]] = mapped_column(String(30),nullable=True)
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age:Mapped[int] = mapped_column(Integer,default=18)
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# 默认null
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education:Mapped[str] = mapped_column(String(50),nullable=True)
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create_time:Mapped[datetime] = mapped_column(server_default=func.now())
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update_time:Mapped[datetime] = mapped_column(server_default=func.now(),onupdate=func.now())
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pass
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Base.metadata.create_all(engine)
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@@ -0,0 +1,58 @@
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from sqlalchemy import Column, Integer, create_engine, String, ForeignKey,DATETIME,DateTime,func
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from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession
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from sqlalchemy.orm import sessionmaker,declarative_base,DeclarativeBase
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from fastapi import APIRouter, Depends
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from debug.orm_app.sqlalchemy_full_app import User
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from datetime import datetime
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db_url = "mysql+pymysql://geeker:geeker@localhost:3306/fastapi_tutor?charset=utf8mb4"
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engine = create_engine(db_url)
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session = sessionmaker(engine, expire_on_commit=False)
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# 外键引用
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Base = declarative_base()
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class MetaBaseFunc(Base):
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__tablename__ = "meta_base_func"
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id = Column(Integer, primary_key=True)
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pass
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# Base.metadata.create_all(engine)
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# Base 基类 - 可行，但不建议用多个Base分别创建表
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# class Base(DeclarativeBase):
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# pass
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class MetaBase(Base):
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__tablename__ = "base_column_test"
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id = Column(Integer, primary_key=True)
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num = Column(String(30),nullable=False,unique=True)
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name = Column(String(30),nullable=False,default="")
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# null
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education = Column(String(50), nullable=True)
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# 索引与外键 - 运行时查找
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f_id = Column(Integer,ForeignKey("meta_base_func.id"),nullable=False, index=True)
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fd_id = Column(Integer,ForeignKey("meta_base_func.id"),nullable=True)
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# 日期处理
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create_date = Column(DATETIME
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, default=datetime.now # 默认值是当前时间
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)
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create_date1 = Column(DateTime, default=datetime.utcnow())
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update_date = Column(DATETIME
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, default=datetime.now # 首次创建的时间跟更新时间一致
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, onupdate=datetime.now
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)
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# 默认值处理
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create_time = Column(DateTime, nullable=False, server_default=func.now())
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update_time = Column(DateTime, nullable=False, server_default=func.now(), onupdate=func.now())
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Base.metadata.create_all(engine)
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@@ -0,0 +1,47 @@
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from sqlalchemy import ForeignKey,String,create_engine
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from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship,declarative_base
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db_url = "mysql+pymysql://geeker:geeker@localhost:3306/fastapi_tutor?charset=utf8mb4"
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engine = create_engine(db_url, pool_size= 50, echo=True)
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class Base(DeclarativeBase):
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pass
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class Teacher(Base):
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__tablename__ = "mapped_teachers"
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id: Mapped[int] = mapped_column(primary_key=True)
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tname: Mapped[str] = mapped_column(String(30))
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# 反向关系：这个老师当班主任的所有班级
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head_teacher_of: Mapped[list["Class"]] = relationship(
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"Class",
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foreign_keys="Class.head_teacher_id",
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back_populates="head_teacher"
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)
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coach_teacher_of: Mapped[list["Class"]] = relationship(
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"Class",
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foreign_keys="Class.coach_teacher_id",
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back_populates="coach_teacher"
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)
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class Class(Base):
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__tablename__ = "mapped_classes"
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id: Mapped[int] = mapped_column(primary_key=True)
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class_num: Mapped[str] = mapped_column(String(30))
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head_teacher_id: Mapped[int] = mapped_column(ForeignKey("mapped_teachers.id"))
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coach_teacher_id: Mapped[int] = mapped_column(ForeignKey("mapped_teachers.id"))
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head_teacher: Mapped["Teacher"] = relationship(
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"Teacher",
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foreign_keys=[head_teacher_id],
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back_populates="head_teacher_of"
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)
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coach_teacher: Mapped["Teacher"] = relationship(
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"Teacher",
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foreign_keys=[coach_teacher_id],
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back_populates="coach_teacher_of"
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)
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Base.metadata.create_all(engine)
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@@ -1,3 +1,6 @@
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'''
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pymysql 更底层封装sql - 游标
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'''
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import pymysql.cursors
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# Connect to the database
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@@ -0,0 +1,28 @@
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from sqlalchemy import Column, Integer,create_engine
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from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession
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from sqlalchemy.orm import sessionmaker,declarative_base,DeclarativeBase
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from fastapi import APIRouter, Depends
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from debug.orm_app.sqlalchemy_full_app import User
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db_url = "mysql+pymysql://geeker:geeker@localhost:3306/fastapi_tutor?charset=utf8mb4"
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engine = create_engine(db_url)
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# 测试autoflush - True
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session = sessionmaker(engine, autoflush=True ,expire_on_commit=False)
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# Base 基类
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class Base(DeclarativeBase):
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pass
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class MetaBase(Base):
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__tablename__ = "base_autoflush"
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id = Column(Integer, primary_key=True)
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pass
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Base.metadata.create_all(engine)
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@@ -1,234 +0,0 @@
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from sqlalchemy import create_engine, Column, Integer,String,DATETIME,DECIMAL, or_, and_,not_,func
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from sqlalchemy.orm import declarative_base, sessionmaker
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from datetime import datetime
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db_url = "mysql+pymysql://geeker:geeker@localhost:3306/fastapi_tutor?charset=utf8mb4"
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engine = create_engine(db_url, pool_size= 50, echo=True)
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Base = declarative_base() # 获取基类！
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class Order(Base): # python里的表名字
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__tablename__ = 'order_info_detail' # 实际数据库的表名字
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id = Column( Integer # 声明字段的数据类型
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, primary_key=True # 声明是主键
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, autoincrement=True # 声明是自增主键
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, comment='订单编号，自增主键' # 注释
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)
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title = Column( String(50) # 对应数据库的varchar类型
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,nullable=False # 不允许为null
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)
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price = Column(DECIMAL)
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userid = Column( Integer
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# ,ForeignKey('user_info_detail.id')
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,nullable=False ) # 外键约束
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create_date = Column(DATETIME
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, default=datetime.now # 默认值是当前时间
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)
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update_date = Column(DATETIME
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, default=datetime.now # 首次创建的时间跟更新时间一致
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, onupdate=datetime.now
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)
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class User(Base): # python里的表名字
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__tablename__ = 'user_info_detail' # 实际数据库的表名字
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id = Column( Integer # 声明字段的数据类型
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, primary_key=True # 声明是主键
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, autoincrement=True # 声明是自增主键
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, comment='用户编号，自增主键' # 注释
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)
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username = Column( String(50) # 对应数据库的varchar类型
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,nullable=False # 不允许为null
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,comment='用户名'
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)
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create_date = Column(DATETIME
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, default=datetime.now # 默认值是当前时间
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)
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update_date = Column(DATETIME
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, default=datetime.now # 首次创建的时间跟更新时间一致
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, onupdate=datetime.now
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)
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Base.metadata.create_all(engine) # 所有表创建 <- 只要数据库存在这个表了，就不会触发，也不会更新表结构
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# Order.__table__.create(engine,checkfirst = True) # 单张表的创建
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# 三、【表数据的新增】
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'''1.实例化数据库表模型类，得到具体的数据'''
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u1 = User( username='清风飞扬' )
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print( 'User1的属性：',u1.id,u1.username,u1.create_date,u1.update_date )
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u2 = User( username='北大青鸟' )
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print( 'User2的属性：',u2.username)
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'''2.将实例化好的数据，添加到数据库里'''
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# 拿到数据库会话管理工具
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Session = sessionmaker( bind=engine
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,autoflush=False # 是否开启自动刷新python新增的数据到实际的数据库内存缓存中
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,autocommit = False # 不自动提交数据，这个是真正提交到数据库磁盘永久生效的
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)
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session = Session() # 实例化一个数据库操作会话
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# session.add( u1 ) # 新增数据到数据库里
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# session.add( u2 )
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session.commit() # 提交，永久生效，注意提交后不能回滚
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print(session.query(User).all())
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#
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# # session.rollback() # 回滚，事务没有提交前，dml操作可以回滚
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# session.close() # 关闭数据操作会话
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#
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#
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# '''
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# 等价于sql语句：
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# insert into user_info_detail(username) values('清风飞扬');
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# insert into user_info_detail(username) values('北大青鸟');
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# '''
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#
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# # 四、【表数据的更改】
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# session = Session() # 实例化一个数据库操作会话
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# print(f'{session.query(User)=}, {session.query(User).all()=}')
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# session.query(User)\
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# .filter( User.username == '北大青鸟' )\
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# .update( {"username":'沃林数智'
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# , "create_date":"2000-10-10"
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# } # 同时更新多个字段
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# )
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# session.commit()
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# '''
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# 多个复合条件：
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# filter( 条件1,条件2，条件3.. ) # and的关系
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#
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# filter( or_( 条件1,条件2), not_(条件2),and_(条件1,条件2) )
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#
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# session.query(表模型).filter(条件1).filter(条件2).filter(条件3) 条件可以拼接成and的关系
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#
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# or_: 函数里的条件都是 or 的关系
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# and_: 函数里的条件是 and 的关系
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# not_ : 将条件的结果进行取反
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# '''
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#
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# # 五、【表数据的删除】
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# try:
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# session.query( User ).filter( User.username == '清风飞扬' ).delete() # 只要命中就删除
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# session.commit()
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# except:
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# session.rollback() # 如果报错，就回滚
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#
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# # 清空数据，并且重置自增主键 truncate table 表名; 无法回滚
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# # session.execute( text( "truncate table user_info_detail" ) ) # 直接书写原生的sql语句
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# # 可以select、update、delete全部支持
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'''1.单表基础查询'''
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# ① 单条数据查询 first(),返回的是一个查询结果对象
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r1 = session.query(User).first()
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print('获取单个查询结果对象：',r1)
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print(r1.id,r1.usernmae,r1.create_date,r1.update_date)
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# ② 全量查询 all() , 返回的是一个列表list
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r2 = session.query(User).all()
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print('获取多个查询结果对象：',r2)
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for i in range( len(r2) ):
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print(f'第{i+1}行数据：',r2[i].id,r2[i].usernmae,r2[i].create_date,r2[i].update_date)
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q = session.query(User) # 得到一个查询语句对象
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r3 = q.all() # 获取查询语句对象的所有内容
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print(q)
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print(r3)
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# ③ where 条件查询
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r4 = session.query(User).filter( or_(User.id == 1, User.usernmae == '李四') ).all()
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for i in r4:
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print(i.id,i.usernmae)
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# ④ like模糊匹配查询
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r5 = session.query(User).where( User.usernmae.like('%三%') ).all()
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for i in r5:
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print('like模糊匹配：',i.id, i.usernmae)
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# ⑤ order by排序
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r5 = session.query(User).order_by(User.id.desc(), User.usernmae).all()
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for i in r5:
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print('排序：', i.id, i.usernmae)
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# ⑥ limit 分页
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'''
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分页公式：
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原生sql：limit( (页数-1)*每页数据量, 每页数据量 )
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orm里： offset( (页数-1)*每页数据量 ).limit(每页数据量)
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'''
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n = 1 # 页数
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m = 2 # 每页数据量
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r6 = session.query(User).offset((n-1)*m).limit(m).all()
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for i in r6:
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print('分页：', i.id, i.usernmae)
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'''2.分组聚合group by'''
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'''
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select usernmae,count(1)
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from user_info_detail
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group by usernmae
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having count(1) >= 2
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'''
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r7 = session.query(User.usernmae,func.count(User.id).label('num')).\
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group_by( User.usernmae ).\
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having( func.count(User.id) >= 2 ).\
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all()
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for i in r7:
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print('分组聚合：',i.usernmae,i.num)
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'''
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func函数支持：max、min、sum、count、avg常用的聚合函数
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用法： func.count(聚合的字段)
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'''
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'''3.多表关联查询join内连接/outerjoin左连接'''
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r8 = session.query(User.id.label('user_id') , User.usernmae, Order.id.label('order_id'), Order.title ).\
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join( Order, User.id == Order.userid ).\
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order_by(User.id).\
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all()
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for i in r8:
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print('多表关联内连接：',i.user_id,i.usernmae,i.order_id,i.title)
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# outerjoin(谁放在里面，谁就是从表)
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r8 = session.query(User.id.label('user_id') , User.usernmae, Order.id.label('order_id'), Order.title ).\
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outerjoin( Order, User.id == Order.userid ).\
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order_by(User.id).\
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all()
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for i in r8:
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print('多表关联左连接：',i.user_id,i.usernmae,i.order_id,i.title)
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'''
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select ——> session.query( 表模型名 )
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from 表1
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join 表2 on 条件 ——> join(连接的表，条件) / outerjoin(连接的表，条件)
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where 筛选条件 ——> filter(条件)
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group by 分组字段 ——> group_by(分组的字段)
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having 分组后过滤 ——> having(过滤的条件)
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order by 排序 ——> order_by( 排序的字段.desc() )
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limit 分页 ——> offset(偏移量).limit(数据量)
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'''
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||||
|
||||
n = 1 # 页数
|
||||
m = 2 # 每页数据量
|
||||
r9 = session.query(User.usernmae,Order.title,func.count(1).label('ordernum')).\
|
||||
join(Order,User.id == Order.userid).\
|
||||
filter(Order.title == '苹果').\
|
||||
group_by(User.usernmae,Order.title).\
|
||||
having(func.count(1) >= 1).\
|
||||
order_by(func.count(1).desc()).\
|
||||
offset((n-1)*m).limit(m).\
|
||||
all()
|
||||
|
||||
for i in r9:
|
||||
print('完整的查询：',i.usernmae,i.title,i.ordernum)
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,246 @@
|
||||
from sqlalchemy import create_engine, Column, Integer,String,DATETIME,DECIMAL, or_, and_,not_,func, Boolean
|
||||
from sqlalchemy.orm import declarative_base, sessionmaker
|
||||
|
||||
from datetime import datetime
|
||||
|
||||
from model.template import Template
|
||||
|
||||
db_url = "mysql+pymysql://geeker:geeker@localhost:3306/fastapi_tutor?charset=utf8mb4"
|
||||
|
||||
engine = create_engine(db_url, pool_size= 50, echo=True)
|
||||
|
||||
Base = declarative_base() # 获取基类！
|
||||
|
||||
class Order(Base): # python里的表名字
|
||||
__tablename__ = 'order' # 实际数据库的表名字
|
||||
id = Column( Integer # 声明字段的数据类型
|
||||
, primary_key=True # 声明是主键
|
||||
, autoincrement=True # 声明是自增主键
|
||||
, comment='订单编号，自增主键' # 注释
|
||||
)
|
||||
title = Column( String(50) # 对应数据库的varchar类型
|
||||
,nullable=False # 不允许为null
|
||||
)
|
||||
price = Column(DECIMAL)
|
||||
userid = Column( Integer
|
||||
# ,ForeignKey('user_info_detail.id')
|
||||
,nullable=False ) # 外键约束
|
||||
create_date = Column(DATETIME
|
||||
, default=datetime.now # 默认值是当前时间
|
||||
)
|
||||
update_date = Column(DATETIME
|
||||
, default=datetime.now # 首次创建的时间跟更新时间一致
|
||||
, onupdate=datetime.now
|
||||
)
|
||||
|
||||
class User(Base,Template): # python里的表名字
|
||||
__tablename__ = 'user_template' # 实际数据库的表名字
|
||||
username = Column( String(50) # 对应数据库的varchar类型
|
||||
,nullable=False # 不允许为null
|
||||
,comment='用户名'
|
||||
)
|
||||
|
||||
|
||||
# class User(Base): # python里的表名字
|
||||
# __tablename__ = 'user' # 实际数据库的表名字
|
||||
# id = Column( Integer # 声明字段的数据类型
|
||||
# , primary_key=True # 声明是主键
|
||||
# , autoincrement=True # 声明是自增主键
|
||||
# , comment='用户编号，自增主键' # 注释
|
||||
# )
|
||||
# username = Column( String(50) # 对应数据库的varchar类型
|
||||
# ,nullable=False # 不允许为null
|
||||
# ,comment='用户名'
|
||||
# )
|
||||
# create_datetime = Column(DATETIME
|
||||
# , default=datetime.now # 默认值是当前时间
|
||||
# )
|
||||
# update_datetime = Column(DATETIME
|
||||
# , default=datetime.now # 首次创建的时间跟更新时间一致
|
||||
# , onupdate=datetime.now
|
||||
# )
|
||||
# is_deleted = Column(Boolean, default=False )
|
||||
# delete_datetime = Column(DATETIME, nullable=True)
|
||||
|
||||
|
||||
Base.metadata.create_all(engine) # 所有表创建 <- 只要数据库存在这个表了，就不会触发，也不会更新表结构
|
||||
# Order.__table__.create(engine,checkfirst = True) # 单张表的创建
|
||||
|
||||
|
||||
# 三、【表数据的新增】
|
||||
'''1.实例化数据库表模型类，得到具体的数据'''
|
||||
u1 = User( username='清风飞扬' )
|
||||
print( 'User1的属性：',u1.id,u1.username,u1.create_datetime,u1.update_datetime )
|
||||
u2 = User( username='北大青鸟' )
|
||||
print( 'User2的属性：',u2.username)
|
||||
|
||||
'''2.将实例化好的数据，添加到数据库里'''
|
||||
# 拿到数据库会话管理工具
|
||||
Session = sessionmaker( bind=engine
|
||||
,autoflush=False # 是否开启自动刷新python新增的数据到实际的数据库内存缓存中
|
||||
,autocommit = False # 不自动提交数据，这个是真正提交到数据库磁盘永久生效的
|
||||
)
|
||||
|
||||
session = Session() # 实例化一个数据库操作会话
|
||||
session.add( u1 ) # 新增数据到数据库里
|
||||
session.add( u2 )
|
||||
session.commit() # 提交，永久生效，注意提交后不能回滚
|
||||
|
||||
print(session.query(User).all())
|
||||
#
|
||||
# # session.rollback() # 回滚，事务没有提交前，dml操作可以回滚
|
||||
# session.close() # 关闭数据操作会话
|
||||
#
|
||||
#
|
||||
# '''
|
||||
# 等价于sql语句：
|
||||
# insert into user_info_detail(username) values('清风飞扬');
|
||||
# insert into user_info_detail(username) values('北大青鸟');
|
||||
# '''
|
||||
#
|
||||
# # 四、【表数据的更改】
|
||||
# session = Session() # 实例化一个数据库操作会话
|
||||
# print(f'{session.query(User)=}, {session.query(User).all()=}')
|
||||
# session.query(User)\
|
||||
# .filter( User.username == '北大青鸟' )\
|
||||
# .update( {"username":'沃林数智'
|
||||
# , "create_date":"2000-10-10"
|
||||
# } # 同时更新多个字段
|
||||
# )
|
||||
# session.commit()
|
||||
# '''
|
||||
# 多个复合条件：
|
||||
# filter( 条件1,条件2，条件3.. ) # and的关系
|
||||
#
|
||||
# filter( or_( 条件1,条件2), not_(条件2),and_(条件1,条件2) )
|
||||
#
|
||||
# session.query(表模型).filter(条件1).filter(条件2).filter(条件3) 条件可以拼接成and的关系
|
||||
#
|
||||
# or_: 函数里的条件都是 or 的关系
|
||||
# and_: 函数里的条件是 and 的关系
|
||||
# not_ : 将条件的结果进行取反
|
||||
# '''
|
||||
#
|
||||
# # 五、【表数据的删除】
|
||||
# try:
|
||||
# session.query( User ).filter( User.username == '清风飞扬' ).delete() # 只要命中就删除
|
||||
# session.commit()
|
||||
# except:
|
||||
# session.rollback() # 如果报错，就回滚
|
||||
#
|
||||
# # 清空数据，并且重置自增主键 truncate table 表名; 无法回滚
|
||||
# # session.execute( text( "truncate table user_info_detail" ) ) # 直接书写原生的sql语句
|
||||
# # 可以select、update、delete全部支持
|
||||
|
||||
|
||||
#
|
||||
# '''1.单表基础查询'''
|
||||
# # ① 单条数据查询 first(),返回的是一个查询结果对象
|
||||
# r1 = session.query(User).first()
|
||||
# print('获取单个查询结果对象：',r1)
|
||||
# print(r1.id,r1.usernmae,r1.create_date,r1.update_date)
|
||||
#
|
||||
# # ② 全量查询 all() , 返回的是一个列表list
|
||||
# r2 = session.query(User).all()
|
||||
# print('获取多个查询结果对象：',r2)
|
||||
# for i in range( len(r2) ):
|
||||
# print(f'第{i+1}行数据：',r2[i].id,r2[i].usernmae,r2[i].create_date,r2[i].update_date)
|
||||
#
|
||||
# q = session.query(User) # 得到一个查询语句对象
|
||||
# r3 = q.all() # 获取查询语句对象的所有内容
|
||||
# print(q)
|
||||
# print(r3)
|
||||
#
|
||||
# # ③ where 条件查询
|
||||
# r4 = session.query(User).filter( or_(User.id == 1, User.usernmae == '李四') ).all()
|
||||
# for i in r4:
|
||||
# print(i.id,i.usernmae)
|
||||
#
|
||||
# # ④ like模糊匹配查询
|
||||
# r5 = session.query(User).where( User.usernmae.like('%三%') ).all()
|
||||
# for i in r5:
|
||||
# print('like模糊匹配：',i.id, i.usernmae)
|
||||
#
|
||||
# # ⑤ order by排序
|
||||
# r5 = session.query(User).order_by(User.id.desc(), User.usernmae).all()
|
||||
# for i in r5:
|
||||
# print('排序：', i.id, i.usernmae)
|
||||
#
|
||||
# # ⑥ limit 分页
|
||||
# '''
|
||||
# 分页公式：
|
||||
# 原生sql：limit( (页数-1)*每页数据量, 每页数据量 )
|
||||
# orm里： offset( (页数-1)*每页数据量 ).limit(每页数据量)
|
||||
# '''
|
||||
# n = 1 # 页数
|
||||
# m = 2 # 每页数据量
|
||||
#
|
||||
# r6 = session.query(User).offset((n-1)*m).limit(m).all()
|
||||
# for i in r6:
|
||||
# print('分页：', i.id, i.usernmae)
|
||||
#
|
||||
# '''2.分组聚合group by'''
|
||||
# '''
|
||||
# select usernmae,count(1)
|
||||
# from user_info_detail
|
||||
# group by usernmae
|
||||
# having count(1) >= 2
|
||||
# '''
|
||||
# r7 = session.query(User.usernmae,func.count(User.id).label('num')).\
|
||||
# group_by( User.usernmae ).\
|
||||
# having( func.count(User.id) >= 2 ).\
|
||||
# all()
|
||||
#
|
||||
# for i in r7:
|
||||
# print('分组聚合：',i.usernmae,i.num)
|
||||
#
|
||||
# '''
|
||||
# func函数支持：max、min、sum、count、avg常用的聚合函数
|
||||
# 用法： func.count(聚合的字段)
|
||||
# '''
|
||||
#
|
||||
# '''3.多表关联查询join内连接/outerjoin左连接'''
|
||||
# r8 = session.query(User.id.label('user_id') , User.usernmae, Order.id.label('order_id'), Order.title ).\
|
||||
# join( Order, User.id == Order.userid ).\
|
||||
# order_by(User.id).\
|
||||
# all()
|
||||
#
|
||||
# for i in r8:
|
||||
# print('多表关联内连接：',i.user_id,i.usernmae,i.order_id,i.title)
|
||||
#
|
||||
# # outerjoin(谁放在里面，谁就是从表)
|
||||
# r8 = session.query(User.id.label('user_id') , User.usernmae, Order.id.label('order_id'), Order.title ).\
|
||||
# outerjoin( Order, User.id == Order.userid ).\
|
||||
# order_by(User.id).\
|
||||
# all()
|
||||
#
|
||||
# for i in r8:
|
||||
# print('多表关联左连接：',i.user_id,i.usernmae,i.order_id,i.title)
|
||||
#
|
||||
# '''
|
||||
# select ——> session.query( 表模型名 )
|
||||
# from 表1
|
||||
# join 表2 on 条件 ——> join(连接的表，条件) / outerjoin(连接的表，条件)
|
||||
# where 筛选条件 ——> filter(条件)
|
||||
# group by 分组字段 ——> group_by(分组的字段)
|
||||
# having 分组后过滤 ——> having(过滤的条件)
|
||||
# order by 排序 ——> order_by( 排序的字段.desc() )
|
||||
# limit 分页 ——> offset(偏移量).limit(数据量)
|
||||
# '''
|
||||
#
|
||||
# n = 1 # 页数
|
||||
# m = 2 # 每页数据量
|
||||
# r9 = session.query(User.usernmae,Order.title,func.count(1).label('ordernum')).\
|
||||
# join(Order,User.id == Order.userid).\
|
||||
# filter(Order.title == '苹果').\
|
||||
# group_by(User.usernmae,Order.title).\
|
||||
# having(func.count(1) >= 1).\
|
||||
# order_by(func.count(1).desc()).\
|
||||
# offset((n-1)*m).limit(m).\
|
||||
# all()
|
||||
#
|
||||
# for i in r9:
|
||||
# print('完整的查询：',i.usernmae,i.title,i.ordernum)
|
||||
#
|
||||
#
|
||||
#
|
||||
+540
@@ -0,0 +1,540 @@
|
||||
2026-09-21 08:00:49 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:00:49 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:00:50 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:00:50 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:00:51 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:00:51 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:00:52 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:00:52 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:04:03 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:04:03 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:36:33 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:36:33 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:36:34 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:36:34 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:36:38 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:36:38 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:36:54 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:36:54 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:36:55 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:36:55 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:37:47 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:37:47 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:38:00 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:38:00 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:39:08 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:39:08 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:39:09 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:39:09 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:41:18 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:41:18 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:41:37 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:41:37 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:41:38 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:41:38 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:50:09 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:50:09 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:50:10 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:50:10 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:50:22 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:50:22 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:50:29 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:50:29 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 08:50:30 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 08:50:30 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:56:59 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:56:59 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:57:12 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:57:12 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:57:14 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:57:14 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:57:46 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:57:46 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:57:50 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:57:50 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:57:51 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:57:51 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:58:19 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:58:19 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:58:20 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:58:20 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:58:43 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:58:43 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:58:44 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:58:44 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:58:47 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:58:47 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:59:52 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:59:52 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 10:59:58 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 10:59:58 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 11:00:08 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 11:00:08 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 11:00:24 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 11:00:24 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 11:00:25 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 11:00:25 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 11:00:26 - ai-model - INFO - ai-model - 0
|
||||
2026-09-21 11:00:26 - ai-model - INFO - ai-model - 1
|
||||
2026-09-21 11:00:27 - ai-model - INFO - ai-model - 0
|
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|
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|
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|
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|
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|
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|
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|
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2026-09-21 11:08:24 - ai-model - INFO - ai-model - 0
|
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|
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|
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|
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2026-09-21 11:08:57 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:08:57 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:10:12 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:10:12 - ai-model - INFO - ai-model - 1
|
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|
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|
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|
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2026-09-21 11:10:42 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:11:00 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:11:00 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:11:01 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:11:01 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:12:03 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:12:03 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:12:04 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:12:04 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:12:59 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:12:59 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:13:00 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:13:00 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:13:44 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:13:44 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:13:45 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:13:45 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:13:49 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:13:49 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:13:56 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:13:56 - ai-model - INFO - ai-model - 1
|
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2026-09-21 11:13:57 - ai-model - INFO - ai-model - 0
|
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2026-09-21 11:13:57 - ai-model - INFO - ai-model - 1
|
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2026-09-23 13:14:24 - ai-model - INFO - ai-model - 0
|
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2026-09-23 13:14:24 - ai-model - INFO - ai-model - 1
|
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2026-09-23 13:14:32 - ai-model - INFO - ai-model - 0
|
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2026-09-23 13:14:32 - ai-model - INFO - ai-model - 1
|
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2026-09-23 13:16:42 - ai-model - INFO - ai-model - 0
|
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2026-09-23 13:16:42 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:43:37 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:43:37 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:43:43 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:43:43 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:43:44 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:43:44 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:43:57 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:43:57 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:44:20 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:44:20 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:44:21 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:44:21 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:45:04 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:45:04 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:45:05 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:45:05 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:45:37 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:45:37 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:46:19 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:46:19 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:47:59 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:47:59 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:48:21 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:48:21 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:48:38 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:48:38 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:48:46 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:48:46 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:48:56 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:48:56 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:49:05 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:49:05 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:49:15 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:49:15 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:49:31 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:49:31 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:58:15 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:58:15 - ai-model - INFO - ai-model - 1
|
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2026-09-23 14:58:16 - ai-model - INFO - ai-model - 0
|
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2026-09-23 14:58:16 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:00:05 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:00:05 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:00:06 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:00:06 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:00:25 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:00:25 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:00:26 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:00:26 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:00:54 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:00:54 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:01:02 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:01:02 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:01:30 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:01:30 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:01:38 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:01:38 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:02:13 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:02:13 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:02:46 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:02:46 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:02:48 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:02:48 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:14:20 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:14:20 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:14:29 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:14:29 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:14:31 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:14:31 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:14:47 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:14:47 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:14:48 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:14:48 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:25:54 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:25:54 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:26:19 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:26:19 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:29:43 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:29:43 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:31:57 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:31:57 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:32:22 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:32:22 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:32:29 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:32:29 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:32:45 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:32:45 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:32:54 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:32:54 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:33:23 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:33:23 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:33:39 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:33:39 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:33:41 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:33:41 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:33:53 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:33:53 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:33:54 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:33:54 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:34:02 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:34:02 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:34:03 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:34:03 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:34:15 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:34:15 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:34:22 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:34:22 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:34:23 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:34:23 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:34:35 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:34:35 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:35:05 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:35:05 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:35:12 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:35:12 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:35:16 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:35:16 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:35:17 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:35:17 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:35:34 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:35:34 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:35:36 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:35:36 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:35:41 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:35:41 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:35:42 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:35:42 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:44:26 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:44:26 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:44:28 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:44:28 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:44:32 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:44:32 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:44:34 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:44:34 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:44:35 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:44:35 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:44:50 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:44:50 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:44:51 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:44:51 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:45:24 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:45:24 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:45:25 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:45:25 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:45:29 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:45:29 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:45:42 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:45:42 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:45:43 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:45:43 - ai-model - INFO - ai-model - 1
|
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|
||||
2026-09-23 15:45:46 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:45:47 - ai-model - INFO - ai-model - 0
|
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|
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2026-09-23 15:46:25 - ai-model - INFO - ai-model - 0
|
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|
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2026-09-23 15:46:26 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:46:26 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:46:33 - ai-model - INFO - ai-model - 0
|
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|
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2026-09-23 15:46:34 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:46:34 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:46:41 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:46:41 - ai-model - INFO - ai-model - 1
|
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|
||||
2026-09-23 15:46:48 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:46:56 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:46:56 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:47:31 - ai-model - INFO - ai-model - 0
|
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|
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2026-09-23 15:47:48 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:47:48 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:48:10 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:48:10 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:48:11 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:48:11 - ai-model - INFO - ai-model - 1
|
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|
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2026-09-23 15:48:20 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:48:33 - ai-model - INFO - ai-model - 0
|
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|
||||
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|
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|
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2026-09-23 15:48:56 - ai-model - INFO - ai-model - 0
|
||||
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|
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2026-09-23 15:49:03 - ai-model - INFO - ai-model - 0
|
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2026-09-23 15:49:03 - ai-model - INFO - ai-model - 1
|
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2026-09-23 15:49:04 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:49:04 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:49:05 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:49:05 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:49:20 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:49:20 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:50:11 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:50:11 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:50:15 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:50:15 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:52:02 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:52:02 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:52:03 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:52:03 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:52:49 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:52:49 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:52:51 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:52:51 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:53:35 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:53:35 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:53:44 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:53:44 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:53:46 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:53:46 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:04 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:04 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:06 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:06 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:18 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:18 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:22 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:22 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:24 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:24 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:26 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:26 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:49 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:49 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:55 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:55 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:57 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:57 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:58 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:58 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:54:59 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:54:59 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:55:00 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:55:00 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:55:44 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:55:44 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:55:46 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:55:46 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:55:53 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:55:53 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:55:54 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:55:54 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:19 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:19 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:20 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:20 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:30 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:30 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:31 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:31 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:43 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:43 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:44 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:44 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:47 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:47 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:49 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:49 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:52 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:52 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:53 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:53 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:56:54 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:56:54 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:57:47 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:57:47 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:57:48 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:57:48 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:58:12 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:58:12 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:58:13 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:58:13 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:58:34 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:58:34 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:58:36 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:58:36 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 15:59:46 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 15:59:46 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:01:33 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:01:33 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:01:34 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:01:34 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:05:56 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:05:56 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:05:57 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:05:57 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:06:05 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:06:05 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:06:31 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:06:31 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:07:02 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:07:02 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:08:06 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:08:06 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:08:49 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:08:49 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:09:24 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:09:24 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:10:02 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:10:02 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:10:03 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:10:03 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:10:06 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:10:06 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:11:59 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:11:59 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:12:38 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:12:38 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:12:41 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:12:41 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:12:43 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:12:43 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:12:45 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:12:45 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:13:32 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:13:32 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:13:33 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:13:33 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:14:14 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:14:14 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:14:20 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:14:20 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:14:21 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:14:21 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:14:41 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:14:41 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:14:41 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:14:41 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:14:52 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:14:52 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:14:57 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:14:57 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:14:58 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:14:58 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:15:17 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:15:17 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:16:19 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:16:19 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:16:41 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:16:41 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:16:42 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:16:42 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:16:54 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:16:54 - ai-model - INFO - ai-model - 1
|
||||
2026-09-23 16:16:55 - ai-model - INFO - ai-model - 0
|
||||
2026-09-23 16:16:55 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:36:59 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:36:59 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:46:48 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:46:49 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:47:39 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:47:39 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:48:04 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:48:04 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:48:05 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:48:05 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:48:31 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:48:31 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:50:35 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:50:35 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:50:36 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:50:36 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:54:00 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:54:00 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:54:01 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:54:01 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:54:19 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:54:19 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:54:20 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:54:20 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:55:52 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:55:52 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 11:55:53 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 11:55:53 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 12:00:37 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 12:00:37 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 12:01:44 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 12:01:44 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 12:02:35 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 12:02:35 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 12:10:50 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 12:10:50 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 16:58:54 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 16:58:54 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 17:03:54 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 17:03:54 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 17:03:56 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 17:03:56 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 17:05:02 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 17:05:02 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 17:05:03 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 17:05:03 - ai-model - INFO - ai-model - 1
|
||||
2026-09-24 17:05:11 - ai-model - INFO - ai-model - 0
|
||||
2026-09-24 17:05:11 - ai-model - INFO - ai-model - 1
|
||||
@@ -2,9 +2,9 @@ from fastapi import FastAPI,Request
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
|
||||
from starlette.staticfiles import StaticFiles
|
||||
from router.features import form, method, file, validation, mimetype, path_query_variables, json
|
||||
from router.features import form, method, file, validation, mimetype, path_query_variables, json,session_async
|
||||
|
||||
from router.dbopt import mysql,order_route
|
||||
from router.dbopt import mysql,order_route,order_select_rep_query
|
||||
|
||||
from router.workhome import wk_0915,wk_0916,wk_0917
|
||||
|
||||
@@ -25,9 +25,13 @@ app.include_router(form.route)
|
||||
app.include_router(file.route)
|
||||
app.include_router(json.route)
|
||||
|
||||
app.include_router(session_async.route)
|
||||
|
||||
|
||||
app.include_router(mysql.route)
|
||||
app.include_router(order_route.route)
|
||||
app.include_router(order_select_rep_query.route)
|
||||
|
||||
|
||||
# homeworks...
|
||||
app.include_router(wk_0915.route)
|
||||
@@ -53,8 +57,8 @@ app.add_middleware(
|
||||
)
|
||||
|
||||
from middle import middles
|
||||
app.middleware("http")(middles.black)
|
||||
app.middleware("http")(middles.time_)
|
||||
# app.middleware("http")(middles.black)
|
||||
# app.middleware("http")(middles.time_)
|
||||
# black_list = ['192.168.1.40','192.168.1.94'] # '127.0.0.1'，'192.168.1.26‘
|
||||
# @app.middleware("http",)
|
||||
# async def middleware(req:Request, next):
|
||||
|
||||
+44
-25
@@ -1,5 +1,5 @@
|
||||
from pydantic import BaseModel
|
||||
from sqlalchemy.orm import declarative_base,sessionmaker
|
||||
from sqlalchemy.orm import declarative_base,sessionmaker,Session
|
||||
from sqlalchemy import Column, Integer,String,DATETIME,create_engine
|
||||
from datetime import datetime
|
||||
|
||||
@@ -8,33 +8,56 @@ engine = create_engine(db_url)
|
||||
|
||||
|
||||
def get_session():
|
||||
Session = sessionmaker(bind=engine
|
||||
, autoflush=False
|
||||
, autocommit=False
|
||||
)
|
||||
yield Session()
|
||||
# Session = sessionmaker(bind=engine
|
||||
# , autoflush=False
|
||||
# , autocommit=False
|
||||
# )
|
||||
|
||||
# session = Session(engine)
|
||||
# try:
|
||||
# yield session
|
||||
# finally:
|
||||
# session.close()
|
||||
|
||||
with Session() as session:
|
||||
yield session
|
||||
|
||||
# with Session(engine) as session:
|
||||
# yield session
|
||||
|
||||
Base = declarative_base() # 执行函数，返回一个基类
|
||||
class Order(Base): # python里的表名字
|
||||
__tablename__ = 'order_info_detail' # 实际数据库的表名字
|
||||
id = Column( Integer # 声明字段的数据类型
|
||||
, primary_key=True # 声明是主键
|
||||
, autoincrement=True # 声明是自增主键
|
||||
, comment='订单编号，自增主键' # 注释
|
||||
)
|
||||
|
||||
from model.template import Template
|
||||
|
||||
class Order(Base,Template): # python里的表名字
|
||||
__tablename__ = 'order_info_bool_tinyint' # 实际数据库的表名字
|
||||
title = Column( String(50) # 对应数据库的varchar类型
|
||||
,nullable=False # 不允许为null
|
||||
)
|
||||
userid = Column( Integer
|
||||
# ,ForeignKey('user_info_detail.id')
|
||||
,nullable=False ) # 外键约束
|
||||
create_date = Column(DATETIME
|
||||
, default=datetime.now # 默认值是当前时间
|
||||
)
|
||||
update_date = Column(DATETIME
|
||||
, default=datetime.now # 首次创建的时间跟更新时间一致
|
||||
, onupdate=datetime.now
|
||||
)
|
||||
|
||||
# class Order(Base): # python里的表名字
|
||||
# __tablename__ = 'order_info_detail' # 实际数据库的表名字
|
||||
# id = Column( Integer # 声明字段的数据类型
|
||||
# , primary_key=True # 声明是主键
|
||||
# , autoincrement=True # 声明是自增主键
|
||||
# , comment='订单编号，自增主键' # 注释
|
||||
# )
|
||||
# title = Column( String(50) # 对应数据库的varchar类型
|
||||
# ,nullable=False # 不允许为null
|
||||
# )
|
||||
# userid = Column( Integer
|
||||
# # ,ForeignKey('user_info_detail.id')
|
||||
# ,nullable=False ) # 外键约束
|
||||
# create_date = Column(DATETIME
|
||||
# , default=datetime.now # 默认值是当前时间
|
||||
# )
|
||||
# update_date = Column(DATETIME
|
||||
# , default=datetime.now # 首次创建的时间跟更新时间一致
|
||||
# , onupdate=datetime.now
|
||||
# )
|
||||
|
||||
# 定义创建订单的请求体模型
|
||||
class OrderRequest(BaseModel):
|
||||
@@ -51,11 +74,7 @@ class OrderSchema(BaseModel):
|
||||
update_date:datetime
|
||||
|
||||
class OrderResponse(BaseModel):
|
||||
# id:int|None = None
|
||||
# title:str|None = None
|
||||
# userid:int|None =None
|
||||
# create_date:datetime|None = datetime.now()
|
||||
# update_date:datetime|None = datetime.now()
|
||||
|
||||
status_code:str = 200
|
||||
detail:str = 'succeed!'
|
||||
total:int = 1
|
||||
|
||||
@@ -0,0 +1,19 @@
|
||||
from sqlalchemy import Column, Integer, String, DATETIME, create_engine, Boolean,Text,text
|
||||
from datetime import datetime
|
||||
|
||||
# 定义基类模板，解决通用字段
|
||||
class Template():
|
||||
id = Column( Integer # 声明字段的数据类型
|
||||
, primary_key=True # 声明是主键
|
||||
, autoincrement=True # 声明是自增主键
|
||||
, comment='订单编号，自增主键' # 注释
|
||||
)
|
||||
create_datetime = Column(DATETIME
|
||||
, default=datetime.now # 默认值是当前时间
|
||||
)
|
||||
update_datetime = Column(DATETIME
|
||||
, default=datetime.now # 首次创建的时间跟更新时间一致
|
||||
, onupdate=datetime.now
|
||||
)
|
||||
is_deleted = Column(Boolean, default=False,server_default=text("0"))
|
||||
delete_datetime = Column(DATETIME, nullable=True)
|
||||
@@ -3,6 +3,8 @@ name = "fastapi-tutor"
|
||||
version = "0.1.0"
|
||||
requires-python = ">=3.13"
|
||||
dependencies = [
|
||||
"aiomysql>=0.3.2",
|
||||
"asyncmy>=0.2.15",
|
||||
"fastapi[standard]>=0.141.1",
|
||||
"pymysql>=1.2.3",
|
||||
"sqlalchemy>=2.0.54",
|
||||
|
||||
@@ -9,11 +9,12 @@ from model.order import OrderRequest,Order,get_session,OrderResponse
|
||||
|
||||
from dao.order_dao import get_order
|
||||
|
||||
route = APIRouter(prefix="/order",tags=["orders"])
|
||||
route = APIRouter(prefix="/order",tags=["order"])
|
||||
|
||||
# 模糊查询
|
||||
@route.get('/',response_model=OrderResponse)
|
||||
def orders(id:int=None, user_id:int=None, title:str=None,session=Depends(get_session)):
|
||||
|
||||
return get_order(id,user_id,title,session)
|
||||
|
||||
# todo 请求响应模型序列化Order类问题
|
||||
|
||||
@@ -0,0 +1,77 @@
|
||||
# 编写更订单相关的增删改查接口，结合数据库
|
||||
from fastapi import FastAPI, APIRouter, Depends
|
||||
from sqlalchemy import *
|
||||
from sqlalchemy.orm import declarative_base,sessionmaker
|
||||
from datetime import datetime
|
||||
from pydantic import BaseModel
|
||||
|
||||
from model.order import OrderRequest,Order,get_session,OrderResponse
|
||||
|
||||
from dao.order_dao import get_order
|
||||
|
||||
route = APIRouter(prefix="/order_select_query",tags=["order_select_query"])
|
||||
|
||||
# 模糊查询
|
||||
@route.get('/query',response_model=OrderResponse)
|
||||
def orders(id:int=None, user_id:int=None, title:str=None,session=Depends(get_session)):
|
||||
q = session.query(Order)
|
||||
if id: q = q.filter(Order.id == id)
|
||||
if user_id: q = q.filter(Order.userid == user_id)
|
||||
if title: q = q.where(Order.title.like('%' + title + '%'))
|
||||
res = q.all()
|
||||
return {"data": [{"order_id": r.id, 'order_title': r.title, "user_id": r.userid, "create_date": r.create_date,
|
||||
"update_date": r.update_date} for r in res]}
|
||||
|
||||
@route.get('/select', response_model=OrderResponse)
|
||||
def orders(id: int = None, user_id: int = None, title: str = None, session=Depends(get_session)):
|
||||
s = select(Order)
|
||||
if id: s = s.filter(Order.id == id)
|
||||
if user_id: s = s.filter(Order.userid == user_id)
|
||||
if title: s = s.where(Order.title.like('%' + title + '%'))
|
||||
|
||||
res = session.execute(s)
|
||||
return {"data": [{"order_id": r.id, 'order_title': r.title, "user_id": r.userid, "create_date": r.create_date,
|
||||
"update_date": r.update_date} for r in res]}
|
||||
|
||||
|
||||
# todo 请求响应模型序列化Order类问题
|
||||
@route.get('/no_response_model')
|
||||
def orders(id:int=None, user_id:int=None, title:str=None,session=Depends(get_session)):
|
||||
q = session.query(Order)
|
||||
if id: q = q.filter(Order.id == id)
|
||||
if user_id: q = q.filter(Order.userid == user_id)
|
||||
if title: q = q.where(Order.title.like('%' + title + '%'))
|
||||
res = q.all()
|
||||
return res
|
||||
|
||||
|
||||
|
||||
@route.get('/{id}',response_model=OrderResponse)
|
||||
def orders(id:int,session=Depends(get_session)):
|
||||
r = session.query(Order).filter( Order.id == id ).first()
|
||||
session.close()
|
||||
return {"data":
|
||||
{"order_id":r.id,'order_title':r.title,"user_id":r.userid,"create_date":r.create_date,"update_date":r.update_date}
|
||||
}
|
||||
|
||||
@route.delete('/',response_model=OrderResponse)
|
||||
def orders(session=Depends(get_session)):
|
||||
return '删除订单'
|
||||
|
||||
|
||||
@route.post('/',response_model=OrderResponse)
|
||||
def orders(order:OrderRequest,session=Depends(get_session)):
|
||||
d = order.model_dump() # d = {"title":xxx,"userid":xxx}
|
||||
o1 = Order( **d )
|
||||
session.add(o1)
|
||||
session.commit()
|
||||
session.close()
|
||||
return {'code':200,'detail':'添加成功！'}
|
||||
|
||||
|
||||
@route.put('/{id}',response_model=OrderResponse)
|
||||
def orders(order:OrderRequest,id:int,session=Depends(get_session)):
|
||||
r = session.query( Order ).filter( Order.id == id ).update( order.model_dump(exclude_unset=True) )
|
||||
session.commit()
|
||||
session.close()
|
||||
return OrderResponse(status_code='200',detail='ok',total=r)
|
||||
@@ -0,0 +1,28 @@
|
||||
from sqlalchemy import Column, Integer
|
||||
|
||||
from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession
|
||||
from sqlalchemy.orm import sessionmaker,declarative_base,DeclarativeBase
|
||||
|
||||
from fastapi import APIRouter, Depends
|
||||
from debug.orm_app.sqlalchemy_full_app import User
|
||||
|
||||
|
||||
route = APIRouter(prefix="/session",tags=["session"])
|
||||
|
||||
db_url = "mysql+aiomysql://geeker:geeker@localhost:3306/fastapi_tutor?charset=utf8mb4"
|
||||
|
||||
engine = create_async_engine(db_url)
|
||||
async_session = async_sessionmaker(engine, expire_on_commit=False)
|
||||
|
||||
|
||||
async def get_db() -> AsyncSession:
|
||||
async with async_session() as session:
|
||||
yield session
|
||||
|
||||
|
||||
@route.get("/")
|
||||
async def index(session: AsyncSession = Depends(get_db)):
|
||||
u1 = User(username='test session')
|
||||
session.add(u1)
|
||||
await session.commit()
|
||||
|
||||
Reference in New Issue
Block a user