小鱼开发
fbef15ba7e
- 合并为单一初始全量迁移，覆盖 users/user_devices/user_points/point_batches/point_transactions/point_recharge_orders - 去掉所有 ForeignKey 约束（业务层软删除，不依赖数据库级联） - 去掉不必要的索引，仅保留 Unique 约束自带索引 - 修复 mjk_users.id 为 UUID 类型（非 String(36)） - 修复 user_device.last_active_at 时区类型一致性（添加 timezone=True）
148 lines
4.0 KiB
Python
148 lines
4.0 KiB
Python
"""
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积分充值订单表
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==============
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记录微信支付充值订单，包含完整的支付链路信息用于排查。
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排查场景：
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1. 用户付了钱积分没到账 → 查 prepay_id / 回调记录 / 主动查询结果
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2. 统一下单失败 → 查 request_params / error_code / error_msg
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3. 回调没收到 → 查 notify_raw / notify_verified
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4. 签名验证失败 → 查 notify_raw / error_msg
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"""
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import uuid
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from datetime import datetime
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from sqlalchemy import DateTime, String, Text
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from sqlalchemy.dialects.postgresql import UUID
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import BaseModelBigInt
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class PointRechargeOrder(BaseModelBigInt):
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"""积分充值订单"""
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__tablename__ = "mjk_point_recharge_orders"
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user_id: Mapped[uuid.UUID] = mapped_column(
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UUID(as_uuid=True),
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nullable=False,
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comment="用户 ID",
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)
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# ========== 商品信息 ==========
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points: Mapped[int] = mapped_column(
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default=0,
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nullable=False,
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comment="充值积分数",
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)
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amount_rmb: Mapped[int] = mapped_column(
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default=0,
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nullable=False,
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comment="人民币金额（单位：分，如 500 = 5 元）",
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)
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# ========== 微信支付核心字段 ==========
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out_trade_no: Mapped[str | None] = mapped_column(
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String(64),
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nullable=True,
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unique=True,
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comment="商户订单号（传给微信的 out_trade_no）",
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)
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prepay_id: Mapped[str | None] = mapped_column(
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String(64),
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nullable=True,
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comment="微信预支付会话标识（统一下单返回）",
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)
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wx_order_no: Mapped[str | None] = mapped_column(
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String(64),
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nullable=True,
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comment="微信支付订单号（微信侧唯一标识）",
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)
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openid: Mapped[str | None] = mapped_column(
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String(64),
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nullable=True,
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comment="用户微信 OpenID（统一下单必需）",
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)
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client_ip: Mapped[str | None] = mapped_column(
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String(45),
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nullable=True,
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comment="用户下单时的 IP 地址",
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)
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trade_type: Mapped[str | None] = mapped_column(
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String(16),
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nullable=True,
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comment="交易类型：JSAPI / NATIVE / APP",
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)
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# ========== 订单状态 ==========
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status: Mapped[str] = mapped_column(
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String(20),
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default="pending",
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nullable=False,
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comment="订单状态：pending / paid / failed / closed",
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)
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paid_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True),
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nullable=True,
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comment="支付成功时间",
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)
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closed_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True),
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nullable=True,
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comment="订单关闭时间（超时未支付）",
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)
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# ========== 排查字段（核心）==========
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request_params: Mapped[str | None] = mapped_column(
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Text,
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nullable=True,
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comment="统一下单请求参数（JSON 格式，用于排查请求侧问题）",
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)
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request_response: Mapped[str | None] = mapped_column(
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Text,
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nullable=True,
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comment="统一下单响应内容（JSON 格式，用于排查微信返回）",
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)
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notify_raw: Mapped[str | None] = mapped_column(
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Text,
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nullable=True,
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comment="微信回调原始内容（XML/JSON，用于排查回调问题）",
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)
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notify_verified: Mapped[bool] = mapped_column(
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default=False,
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nullable=False,
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comment="回调签名是否验证通过",
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)
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query_result: Mapped[str | None] = mapped_column(
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Text,
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nullable=True,
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comment="主动查询订单结果（JSON 格式，用于二次确认）",
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)
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error_code: Mapped[str | None] = mapped_column(
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String(32),
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nullable=True,
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comment="错误码（微信返回或系统异常）",
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)
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error_msg: Mapped[str | None] = mapped_column(
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Text,
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nullable=True,
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comment="错误描述（用于快速定位问题）",
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)
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