84 lines
3.4 KiB
Python
84 lines
3.4 KiB
Python
# 模型
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from sqlalchemy import func
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from .exts import db
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# 模型
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class User(db.Model):
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# 表名
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__tablename__ = "tb_user"
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id = db.Column(db.Integer, primary_key=True,autoincrement=True)
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role = db.Column(db.Integer, autoincrement=True)
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username = db.Column(db.String(80), unique=True, nullable=False)
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password = db.Column(db.String(128), nullable=False)
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# 论文管理
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class Item(db.Model):
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# 表名
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__tablename__ = "tb_item"
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# 论文编号
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id = db.Column(db.Integer, primary_key=True,autoincrement=True)
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# 论文标题
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name = db.Column(db.String(80), autoincrement=True)
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# 路径
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path = db.Column(db.String(255), unique=True, nullable=False)
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# 是否分析
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is_view = db.Column(db.Integer)
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# 阅读人数
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view = db.Column(db.Integer)
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# 上传用户
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user_id = db.Column(db.Integer, nullable=False)
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# 创建时间
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create_time = db.Column(db.String(100), nullable=False, default=func.now())
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class Config(db.Model):
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# 表名
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__tablename__ = "tb_sysconfig"
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id = db.Column(db.Integer, primary_key=True, autoincrement=True) # 主键
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name = db.Column(db.String(50), nullable=False)
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key = db.Column(db.String(50), unique=True, nullable=False) # 配置键
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value = db.Column(db.String(255), nullable=False) # 配置值
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description = db.Column(db.String(255)) # 描述
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# 定义金融交易模型
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class FinancialTransaction(db.Model):
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__tablename__ = 'tb_financial_transactions'
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transaction_id = db.Column(db.Integer, primary_key=True, autoincrement=True)
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user_name = db.Column(db.String(50), nullable=False)
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transaction_amount = db.Column(db.Float, nullable=False)
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transaction_time = db.Column(db.DateTime, nullable=False)
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transaction_location = db.Column(db.String(255), nullable=True)
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transaction_status = db.Column(db.String(255), nullable=True)
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device_info = db.Column(db.String(255), nullable=True)
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ip_address = db.Column(db.String(45), nullable=True)
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browser_info = db.Column(db.String(255), nullable=True)
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mobile = db.Column(db.Integer, nullable=True)
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is_fraud = db.Column(db.Boolean, nullable=False)
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status = db.Column(db.Boolean, nullable=False)
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def __init__(self, user_name, transaction_amount, transaction_time, transaction_location, device_info, ip_address,transaction_status,mobile,
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browser_info, is_fraud,status):
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self.user_name = user_name
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self.transaction_amount = transaction_amount
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self.transaction_time = transaction_time
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self.transaction_location = transaction_location
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self.device_info = device_info
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self.ip_address = ip_address
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self.browser_info = browser_info
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self.is_fraud = is_fraud
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self.transaction_status = transaction_status
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self.mobile = mobile
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self.status = status
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def to_dict(self):
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return {
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'transaction_id': self.transaction_id,
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'status': self.status,
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'user_name': self.user_name,
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'transaction_amount': self.transaction_amount,
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'transaction_time': self.transaction_time.strftime('%Y-%d-%m %H:%M:%S'),
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'transaction_location': self.transaction_location,
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'device_info': self.device_info,
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'ip_address': self.ip_address,
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'browser_info': self.browser_info,
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'is_fraud': self.is_fraud,
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'transaction_status': self.transaction_status,
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'mobile': self.mobile
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} |