"""ORM 模型""" from __future__ import annotations from datetime import UTC, datetime from sqlalchemy import ( JSON, BigInteger, Boolean, Computed, ForeignKey, Index, Integer, String, Text, UniqueConstraint, text, ) from sqlalchemy.orm import Mapped, mapped_column, relationship from .crypto_storage import EncryptedText from .database import Base, UTCDateTime from .huya_defaults import ( HUYA_DEFAULT_BIND_ACT_ID, HUYA_DEFAULT_OUTER_ACT_ID, HUYA_DEFAULT_PAY_CHANNEL, HUYA_DEFAULT_ROOM_PID, HUYA_DEFAULT_SID, ) def _utcnow(): """返回时区感知的 UTC 当前时间,替代 _utcnow()。""" return datetime.now(UTC) class User(Base): """系统用户""" __tablename__ = "users" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) username: Mapped[str] = mapped_column( String(64), unique=True, nullable=False, index=True ) password_hash: Mapped[str] = mapped_column(String(256), nullable=False) role: Mapped[str] = mapped_column( String(32), nullable=False, default="support" ) # super_admin / operation / support is_active: Mapped[bool] = mapped_column(Boolean, default=True) remark: Mapped[str] = mapped_column(String(256), default="") custom_permissions: Mapped[list[str] | None] = mapped_column( JSON, nullable=True, comment="自定义权限列表,null表示使用角色默认权限" ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) deleted_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True, index=True ) deleted_username: Mapped[str] = mapped_column(String(64), default="") # ---- 安全登录(手机号 + 短信验证码 + DCAuth 设备签名)---- phone: Mapped[str] = mapped_column( String(32), nullable=False, default="", server_default="" ) phone_bound_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) phone_bound_by: Mapped[int | None] = mapped_column( ForeignKey("users.id", ondelete="SET NULL"), nullable=True ) # MySQL 不支持部分唯一索引:用生成列把「空手机号」变成 NULL, # 再对它建唯一索引,效果等同 PostgreSQL 的 `UNIQUE (phone) WHERE phone <> ''`。 phone_unique: Mapped[str | None] = mapped_column( String(32), Computed("NULLIF(phone, '')", persisted=True), nullable=True, ) __table_args__ = (Index("uq_users_phone_unique", "phone_unique", unique=True),) # 客服被分配的账号 assigned_accounts: Mapped[list[Account]] = relationship( "Account", back_populates="assigned_user", foreign_keys="Account.assigned_to" ) huya_accounts: Mapped[list[HuyaAccount]] = relationship( "HuyaAccount", back_populates="assigned_user", foreign_keys="HuyaAccount.assigned_to", ) class Account(Base): """斗鱼账号""" __tablename__ = "accounts" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) username: Mapped[str] = mapped_column(String(128), nullable=False) password: Mapped[str] = mapped_column(EncryptedText(), nullable=False) email: Mapped[str] = mapped_column(EncryptedText(), nullable=False) email_password: Mapped[str] = mapped_column(EncryptedText(), nullable=False) email_imap_server: Mapped[str] = mapped_column(String(128), default="") email_imap_port: Mapped[int] = mapped_column(Integer, default=993) email_imap_ssl: Mapped[bool] = mapped_column(Boolean, default=True) assigned_to: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True, index=True ) tag: Mapped[str] = mapped_column(String(64), default="") remark: Mapped[str] = mapped_column(String(256), default="") uid: Mapped[str] = mapped_column(String(32), default="", index=True) nickname: Mapped[str] = mapped_column(String(128), default="") points: Mapped[int | None] = mapped_column(Integer, nullable=True) game_name: Mapped[str] = mapped_column(String(128), default="") game_channel: Mapped[str] = mapped_column(String(128), default="") gold_balance: Mapped[int | None] = mapped_column(Integer, nullable=True) exchange_balance: Mapped[int | None] = mapped_column(Integer, nullable=True) # ⚠️ 已废弃的「垃圾场」列:曾混杂状态/动作/查询三种语义,覆盖式写入导致 # 「到底绑没绑」查不出来。S6 起**不再有任何写入方**,绑定状态走下面三列。 # 计划在 S8 连同其他历史包袱一起 drop(需先做备份)。 bind_status: Mapped[str] = mapped_column(String(32), default="") # 精英宝典角色绑定:unknown / unbound / pending / bound(见 services/account_binding) role_bind_status: Mapped[str] = mapped_column( String(16), default="unknown", server_default="unknown" ) # 一键查询得到的「该账号已兑换过的高价值套装名」列表(如 ["套装-兔兔白日梦"])。 # # 为什么单开一列、而不是让列表读 `overview_snapshot`:那份 JSON 有 1~2KB, # 账号列表是全站最热的接口之一,15000 个账号各带一份会把响应放大到几十 MB。 # 这里只有几个短字符串。 # # 兑换**条数**不存这里 —— 列表直接从官方事件聚合,不维护第二套计数。 high_value_owned: Mapped[list | None] = mapped_column(JSON, nullable=True) # 最近一次「一键查询」的快照(结构化结果)。存在账号上而不是只留在任务里: # 任务会被保留策略清掉,而运营看的是"这个账号现在什么情况"。 overview_snapshot: Mapped[dict | None] = mapped_column(JSON, nullable=True) overview_queried_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) # 积分**到期时刻**(斗鱼在积分查询里给 `willExpireTime`,只有送礼后的那次查询才有)。 # 积分到期是账号资产的真实减少,但斗鱼不会「通知」你 —— 所以这里记下到期时刻, # 由作业在到期后补记一条 `points_expire` 事件(否则这个减少在时间线上是空白)。 points_expire_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) # 电竞手册是否已开通(与 elite_opened 对称)。 # 以前这个状态**只寄生在 `esports_bind_status` 里**(取值 `esports_opened`)—— # 那是「一列多义」的典型:同一个列既表示开通、又表示角色绑定、又表示查询痕迹。 # S6 拆解时差点把这个信息丢掉,所以补成独立布尔列。 esports_opened: Mapped[bool | None] = mapped_column(Boolean, nullable=True) change_role_wait_time: Mapped[int | None] = mapped_column(Integer, nullable=True) # 精英宝典开通状态(getUserInfo 的 manualType / expireTime)。 # 光看积分区分不了「开通后积分花完」和「从未开通」,必须单独落库。 elite_opened: Mapped[bool | None] = mapped_column(Boolean, nullable=True) elite_expire_time: Mapped[int | None] = mapped_column(Integer, nullable=True) esports_points: Mapped[int | None] = mapped_column(Integer, nullable=True) esports_game_name: Mapped[str] = mapped_column(String(128), default="") esports_game_channel: Mapped[str] = mapped_column(String(128), default="") esports_bind_status: Mapped[str] = mapped_column( String(16), default="unknown", server_default="unknown" ) esports_change_role_wait_time: Mapped[int | None] = mapped_column( Integer, nullable=True ) # 电竞手册**到期时间**(与 `elite_expire_time` 对称)。 # 以前只在 `_refresh_esports_handbook` 的返回值里带着,没落库 —— # 于是界面上电竞只能显示"已开通"、看不到到期时间。 esports_expire_time: Mapped[int | None] = mapped_column(Integer, nullable=True) esports_can_change_time: Mapped[int | None] = mapped_column(Integer, nullable=True) xpd_game_name: Mapped[str] = mapped_column(String(128), default="") xpd_openid: Mapped[str] = mapped_column(String(128), default="") # 自动化后门:false 时巡检与自动重登都跳过这个账号(特殊账号人工维护)。 auto_managed: Mapped[bool] = mapped_column( Boolean, default=True, server_default="1" ) xpd_role_id: Mapped[str] = mapped_column(String(64), default="") xpd_plat_id: Mapped[int | None] = mapped_column(Integer, nullable=True) xpd_area_id: Mapped[int | None] = mapped_column(Integer, nullable=True) xpd_balance: Mapped[int | None] = mapped_column(Integer, nullable=True) xpd_fragments: Mapped[int | None] = mapped_column(Integer, nullable=True) xpd_bind_status: Mapped[str] = mapped_column( String(16), default="unknown", server_default="unknown" ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) # ── 登录态:CK 本体(账号自己的凭证,不再寄存在 login_tasks 上)────────── # 历史问题:CK 曾只存在于 login_tasks.cookie,删一条登录历史就等于删掉账号的 # 登录态(2026-10-03 误删事故的根因)。CK 是**账号级凭证**,必须挂在账号上。 # 注意:**不能给这列加 server_default** —— MySQL 不允许 TEXT/BLOB/JSON 列有默认值 # (错误 1101)。已有行由 ALTER TABLE 隐式填 '',新建行由 Python 侧 default 兜。 cookie: Mapped[str] = mapped_column(EncryptedText(), nullable=False, default="") cookie_updated_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) # 这份 CK 是怎么来的:web / app / sms / import(空 = 历史回填,来源未知) cookie_source: Mapped[str] = mapped_column( String(16), nullable=False, default="", server_default="" ) # ── 登录态:CK 健康(巡检/人工检测的当前结论)────────────────────────── ck_check_status: Mapped[str] = mapped_column( String(16), nullable=False, default="", server_default="" ) # valid / invalid / error / 空 = 未检测 ck_check_result: Mapped[dict | None] = mapped_column(JSON, nullable=True) ck_checked_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) # ── 登录态:自动重登的退避进度 ───────────────────────────────────────── relogin_attempts: Mapped[int] = mapped_column( Integer, nullable=False, default=0, server_default="0" ) relogin_next_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) relogin_last_error: Mapped[str] = mapped_column( String(512), nullable=False, default="", server_default="" ) # 失败分型:captcha / credential 转人工,email_code / email_quota / # interrupted / network 自动重试。空 = 没失败过。 relogin_failure_kind: Mapped[str] = mapped_column( String(16), nullable=False, default="", server_default="" ) # ── 生命周期状态 ─────────────────────────────────────────────────────── # 取值域见 docs/设计-账号全生命周期.md §3.4。**写入必须收口到 # services/account_lifecycle.py**,禁止各处直接赋值 —— accounts.bind_status # 就是「谁都能写、语义没人管」的反面教材(36 种取值互相覆盖)。 status: Mapped[str] = mapped_column( String(16), nullable=False, default="imported", server_default="imported" ) status_reason: Mapped[str] = mapped_column( String(64), nullable=False, default="", server_default="" ) status_changed_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) disabled_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) archived_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) __table_args__ = ( # 巡检按「最久没查的优先」选行 Index("ix_accounts_ck_checked_at", "ck_checked_at"), # 重登按状态 + 退避时间选行 Index("ix_accounts_status_relogin_next", "status", "relogin_next_at"), # 列表/统计按生命周期状态筛选 Index("ix_accounts_status", "status"), ) assigned_user: Mapped[User | None] = relationship( "User", back_populates="assigned_accounts", foreign_keys=[assigned_to] ) login_tasks: Mapped[list[LoginTask]] = relationship( "LoginTask", back_populates="account" ) douyu_tasks: Mapped[list[DouyuTask]] = relationship( "DouyuTask", back_populates="account" ) class LoginTask(Base): """单次登录任务""" __tablename__ = "login_tasks" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) batch_id: Mapped[str] = mapped_column( String(64), nullable=False, index=True ) # 批次ID account_id: Mapped[int] = mapped_column(ForeignKey("accounts.id"), nullable=False) status: Mapped[str] = mapped_column( String(32), default="pending" ) # pending / running / success / failed / error cookie: Mapped[str] = mapped_column(EncryptedText(), default="") message: Mapped[str] = mapped_column(String(512), default="") created_by: Mapped[int] = mapped_column(ForeignKey("users.id"), nullable=False) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) finished_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) # Cookie 有效性检测结果(持久化,刷新不丢失) ck_check_status: Mapped[str] = mapped_column( String(16), default="" ) # valid / invalid / 空=未检测 ck_check_result: Mapped[dict | None] = mapped_column( JSON, nullable=True ) # {fish_ball, nickname, level, message} ck_checked_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) # 最近一次登录尝试的状态。批次只写 attempt_*,只有登录成功才会把新 CK # 写回 status/cookie/message,因此停止、失败、进程重启都不会破坏已有 CK。 attempt_status: Mapped[str] = mapped_column( String(32), default="", server_default="" ) # pending / running / success / failed / stopped / 空=没有进行过的尝试 attempt_message: Mapped[str] = mapped_column( String(512), default="", server_default="" ) attempt_batch_id: Mapped[str] = mapped_column( String(64), default="", server_default="" ) attempt_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) # 自动重登(P1b)用的退避状态。P1a 的巡检不碰这几个字段。 relogin_attempts: Mapped[int] = mapped_column( Integer, default=0, server_default="0" ) # 连续重登尝试次数,成功即清零 relogin_next_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) relogin_last_error: Mapped[str] = mapped_column( String(512), default="", server_default="" ) # 失败分型:captcha / credential 转人工,email_code / email_quota / # interrupted / network 自动重试(见规划 §7.4.3)。空 = 没失败过。 relogin_failure_kind: Mapped[str] = mapped_column( String(16), default="", server_default="" ) account: Mapped[Account] = relationship("Account", back_populates="login_tasks") class DouyuTask(Base): """斗鱼业务任务""" __tablename__ = "douyu_tasks" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) batch_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) account_id: Mapped[int] = mapped_column(ForeignKey("accounts.id"), nullable=False) task_type: Mapped[str] = mapped_column(String(64), nullable=False, index=True) # 任务归属工作台;避免同一账号的精英/电竞/小店任务在前端串行展示或串弹二维码。 handbook_scope: Mapped[str] = mapped_column( String(16), nullable=False, default="legacy", index=True ) # 供应商直充的来源订单号,用于轮询与异步回调的幂等关联。 supplier_out_order_id: Mapped[str | None] = mapped_column( String(64), nullable=True, unique=True, index=True ) status: Mapped[str] = mapped_column(String(32), default="pending") message: Mapped[str] = mapped_column(String(512), default="") result: Mapped[dict | None] = mapped_column(JSON, nullable=True) created_by: Mapped[int] = mapped_column(ForeignKey("users.id"), nullable=False) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) finished_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) # 账号归属客服冗余字段,配合复合索引消除任务列表全表 filesort。 account_assigned_to: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) __table_args__ = ( Index( "ix_douyu_tasks_account_assigned_to_id", "account_assigned_to", "id", ), Index( "ix_douyu_tasks_assigned_scope_id", "account_assigned_to", "handbook_scope", "id", ), ) account: Mapped[Account] = relationship("Account", back_populates="douyu_tasks") class DouyuWorkbenchAccount(Base): """用户在指定斗鱼工作台中启用的账号,跨浏览器同步。""" __tablename__ = "douyu_workbench_accounts" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) user_id: Mapped[int] = mapped_column( ForeignKey("users.id"), nullable=False, index=True ) handbook_scope: Mapped[str] = mapped_column(String(16), nullable=False, index=True) account_id: Mapped[int] = mapped_column( ForeignKey("accounts.id"), nullable=False, index=True ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) __table_args__ = ( UniqueConstraint( "user_id", "handbook_scope", "account_id", name="uq_douyu_workbench_account" ), ) class DouyuWorkbench(Base): """工作台配置哨兵,令空账号集合也能跨浏览器同步。""" __tablename__ = "douyu_workbenches" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) user_id: Mapped[int] = mapped_column( ForeignKey("users.id"), nullable=False, index=True ) handbook_scope: Mapped[str] = mapped_column(String(16), nullable=False, index=True) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) __table_args__ = ( UniqueConstraint("user_id", "handbook_scope", name="uq_douyu_workbench"), ) class YybRechargeTask(Base): """应用宝和平精英点券充值任务。 YYB 登录身份与斗鱼账号无关,因此任务只关联创建者,不复用 Account。 """ __tablename__ = "yyb_recharge_tasks" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) # 唯一索引(uq_yyb_recharge_tasks_task_id)已覆盖 task_id 查询,无需重复普通索引; # 迁移 20260812_0020 也只建唯一索引,二者保持一致。 task_id: Mapped[str] = mapped_column(String(64), unique=True, nullable=False) created_by: Mapped[int] = mapped_column( ForeignKey("users.id"), nullable=False, index=True ) worker_job_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) provider: Mapped[str] = mapped_column(String(16), default="", nullable=False) platform: Mapped[str] = mapped_column(String(16), default="android", nullable=False) points: Mapped[int | None] = mapped_column(Integer, nullable=True) product_id: Mapped[str] = mapped_column(String(128), default="") zone_id: Mapped[str] = mapped_column(String(64), default="") zone_name: Mapped[str] = mapped_column(String(128), default="") role_id: Mapped[str] = mapped_column(String(64), default="") role_name: Mapped[str] = mapped_column(String(128), default="") price_fen: Mapped[int | None] = mapped_column(Integer, nullable=True) status: Mapped[str] = mapped_column( String(32), default="created", nullable=False, index=True ) phase: Mapped[str] = mapped_column(String(32), default="login", nullable=False) message: Mapped[str] = mapped_column(String(512), default="") result: Mapped[dict | None] = mapped_column(JSON, nullable=True) login_qr_data: Mapped[str] = mapped_column(EncryptedText(), default="") payment_qr_data: Mapped[str] = mapped_column(EncryptedText(), default="") payment_started_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) payment_qr_created_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) payment_last_checked_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) finished_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) class DouyuConfig(Base): """斗鱼业务配置""" __tablename__ = "douyu_config" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) manual_id: Mapped[str] = mapped_column(String(64), default="G4KA4Qnz4LDp7") rid: Mapped[str] = mapped_column(String(64), default="9263298") bind_act_alias: Mapped[str] = mapped_column(String(64), default="20260120QYOOB") confirm_act_alias: Mapped[str] = mapped_column(String(64), default="20260120QYOOB") legacy_act_alias: Mapped[str] = mapped_column(String(64), default="cjm") room_id: Mapped[str] = mapped_column(String(64), default="9263298") elite_amount: Mapped[int] = mapped_column(Integer, default=3000) esports_manual_id: Mapped[str] = mapped_column(String(64), default="1W0yGkOdDbAXb") esports_act_alias: Mapped[str] = mapped_column(String(64), default="20260226ZMGDG") esports_amount: Mapped[int] = mapped_column(Integer, default=3000) esports_chicken_gift_id: Mapped[str] = mapped_column(String(64), default="24766") esports_chicken_skin_id: Mapped[str] = mapped_column(String(64), default="0") esports_firework_gift_id: Mapped[str] = mapped_column(String(64), default="24767") esports_firework_skin_id: Mapped[str] = mapped_column(String(64), default="3850") # 和平小店总开关。**默认关** —— 小店目前是关闭状态,关着时一键查询 # 完全跳过它的所有请求(不再产生 100% 的 Livelink 报错噪音)。 peace_enabled: Mapped[bool] = mapped_column(Boolean, default=False) xpd_act_alias: Mapped[str] = mapped_column(String(64), default="20260623KDQFH") xpd_act_id: Mapped[str] = mapped_column(String(64), default="46195") xpd_rid: Mapped[str] = mapped_column(String(64), default="9263298") gold_pay_type: Mapped[int] = mapped_column(Integer, default=1) gold_recharge_channel: Mapped[str] = mapped_column(String(16), default="wechat_qr") gold_api_product_id: Mapped[str] = mapped_column(String(128), default="111570") gold_api_account_template_name: Mapped[str] = mapped_column( String(64), default="斗鱼昵称" ) gift_id: Mapped[str] = mapped_column(String(64), default="23643") skin_id: Mapped[str] = mapped_column(String(64), default="2942") updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class DouyuGoodsSnapshot(Base): """斗鱼兑换商品快照""" __tablename__ = "douyu_goods_snapshot" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) commodity_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) name: Mapped[str] = mapped_column(String(256), default="") score: Mapped[int | None] = mapped_column(Integer, nullable=True) status: Mapped[str] = mapped_column(String(32), default="") raw: Mapped[dict | None] = mapped_column(JSON, nullable=True) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class DouyuXpdGoodsSnapshot(Base): """斗鱼和平小店商品快照""" __tablename__ = "douyu_xpd_goods_snapshot" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) commodity_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) name: Mapped[str] = mapped_column(String(256), default="") price: Mapped[int | None] = mapped_column(Integer, nullable=True) org_price: Mapped[int | None] = mapped_column(Integer, nullable=True) category: Mapped[str] = mapped_column(String(32), default="") goods_left: Mapped[int | None] = mapped_column(Integer, nullable=True) raw: Mapped[dict | None] = mapped_column(JSON, nullable=True) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class DouyuEsportsGoodsSnapshot(Base): """斗鱼电竞手册皮肤商城商品快照""" __tablename__ = "douyu_esports_goods_snapshot" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) commodity_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) name: Mapped[str] = mapped_column(String(256), default="") score: Mapped[int | None] = mapped_column(Integer, nullable=True) status: Mapped[str] = mapped_column(String(32), default="") raw: Mapped[dict | None] = mapped_column(JSON, nullable=True) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class DouyuCollabShop(Base): """斗鱼外部单协作的店铺字典(新建单时点选,历史文本自动登记)。""" __tablename__ = "douyu_collab_shops" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) name: Mapped[str] = mapped_column( String(64), unique=True, nullable=False, index=True ) sort_order: Mapped[int] = mapped_column(Integer, default=0, server_default="0") is_active: Mapped[bool] = mapped_column( Boolean, default=True, server_default="1", index=True ) remark: Mapped[str] = mapped_column(String(255), default="", server_default="") created_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) updated_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class DouyuExternalOrder(Base): """斗鱼外部单协作台账(一行 = 一单 = 一个内部斗鱼账号)。 和虎牙外部 CK 台账的关键区别:**不复制 CK**。协作单只存 ``account_id`` (可空,账号删除后置空)与用户名/UID 快照,任何查询都实时读 ``accounts.cookie``。账号 CK 更新后,协作单自动使用最新凭据。 """ __tablename__ = "douyu_external_orders" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) order_no: Mapped[str] = mapped_column( String(64), unique=True, nullable=False, index=True ) shop: Mapped[str] = mapped_column( String(64), default="", server_default="", index=True ) owner_id: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True, index=True ) # ---- 内部斗鱼账号(CK 不落本表)---- account_id: Mapped[int | None] = mapped_column( ForeignKey("accounts.id", ondelete="SET NULL"), nullable=True, index=True ) account_username: Mapped[str] = mapped_column( String(128), default="", server_default="", index=True ) account_uid: Mapped[str] = mapped_column(String(32), default="", server_default="") account_nickname: Mapped[str] = mapped_column( String(128), default="", server_default="" ) # ---- 绑定角色只读快照(来自 memberthird/tencent/bindInfo)---- bind_game_account: Mapped[str] = mapped_column( String(128), default="", server_default="" ) bind_game_role: Mapped[str] = mapped_column( String(128), default="", server_default="" ) bind_game_channel: Mapped[str] = mapped_column( String(128), default="", server_default="" ) bind_snapshot_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) # ---- 订单资料 ---- home_images: Mapped[list | None] = mapped_column(JSON, nullable=True) gift_name: Mapped[str] = mapped_column(String(128), default="", server_default="") commodity_id: Mapped[str] = mapped_column(String(64), default="", server_default="") required_points: Mapped[int | None] = mapped_column(Integer, nullable=True) remark: Mapped[str] = mapped_column(String(512), default="", server_default="") # ---- 业务进度 ---- status: Mapped[str] = mapped_column( String(16), default="incomplete", server_default="incomplete", index=True ) recharged_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) scripted_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) done_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) void_reason: Mapped[str] = mapped_column(String(256), default="", server_default="") # ---- 鱼翅 / 积分 / 核账快照 ---- fish_fin_balance: Mapped[int | None] = mapped_column(Integer, nullable=True) points_balance: Mapped[int | None] = mapped_column(Integer, nullable=True) points_required_total: Mapped[int | None] = mapped_column(Integer, nullable=True) points_surplus: Mapped[int | None] = mapped_column(Integer, nullable=True) points_threshold: Mapped[int | None] = mapped_column(Integer, nullable=True) points_checked_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) points_check_reason: Mapped[str] = mapped_column( String(16), default="", server_default="" ) points_check_message: Mapped[str] = mapped_column( String(512), default="", server_default="" ) points_check_detail: Mapped[dict | None] = mapped_column(JSON, nullable=True) # ---- 归档 ---- archived_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True, index=True ) archived_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) archive_reason: Mapped[str] = mapped_column( String(256), default="", server_default="" ) created_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True, index=True ) updated_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) version: Mapped[int] = mapped_column(Integer, default=0, server_default="0") created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow, index=True ) class DouyuExternalOrderMetric(Base): """斗鱼协作单的鱼翅/积分/兑换记录快照(只追加,不存 CK)。""" __tablename__ = "douyu_external_order_metrics" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) order_id: Mapped[int] = mapped_column( ForeignKey("douyu_external_orders.id", ondelete="CASCADE"), index=True ) order_no: Mapped[str] = mapped_column(String(64), default="", server_default="") account_id: Mapped[int | None] = mapped_column(Integer, nullable=True, index=True) account_username: Mapped[str] = mapped_column( String(128), default="", server_default="" ) fish_fin_balance: Mapped[int | None] = mapped_column(Integer, nullable=True) points_balance: Mapped[int | None] = mapped_column(Integer, nullable=True) points_required_total: Mapped[int | None] = mapped_column(Integer, nullable=True) points_surplus: Mapped[int | None] = mapped_column(Integer, nullable=True) records_total: Mapped[int] = mapped_column(Integer, default=0, server_default="0") records_matched: Mapped[int] = mapped_column(Integer, default=0, server_default="0") verdict: Mapped[str] = mapped_column( String(16), default="unknown", server_default="unknown", index=True ) message: Mapped[str] = mapped_column(String(512), default="", server_default="") source: Mapped[str] = mapped_column( String(16), default="manual", server_default="manual" ) raw: Mapped[dict | None] = mapped_column(JSON, nullable=True) created_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) created_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, index=True ) class LoginSmsCode(Base): """登录短信验证码。 只存 sha256(code),不存明文;一条记录只能消费一次,连续输错 5 次即作废。 """ __tablename__ = "login_sms_codes" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) user_id: Mapped[int] = mapped_column( ForeignKey("users.id", ondelete="CASCADE"), nullable=False ) phone: Mapped[str] = mapped_column(String(32), nullable=False, default="") purpose: Mapped[str] = mapped_column( String(16), nullable=False, default="login", server_default="login" ) code_hash: Mapped[str] = mapped_column(String(64), nullable=False) expires_at: Mapped[datetime] = mapped_column(UTCDateTime, nullable=False) consumed_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) failed_attempt_count: Mapped[int] = mapped_column( Integer, nullable=False, default=0, server_default="0" ) request_ip: Mapped[str] = mapped_column( String(64), nullable=False, default="", server_default="" ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) __table_args__ = ( Index("ix_login_sms_codes_user_created", "user_id", "purpose", "created_at"), Index("ix_login_sms_codes_phone_created", "phone", "created_at"), ) class UserDevice(Base): """账号绑定的 DCAuth 设备(只存 deviceId 与 Ed25519 公钥)。 MySQL 用函数索引 ``UNIQUE ((CASE WHEN status='active' THEN user_id END))`` 等价于 PostgreSQL 的部分唯一索引 ``UNIQUE (user_id) WHERE status='active'``。 不用生成列,是因为 MySQL 不允许“生成列依赖的基列”上挂 ON DELETE CASCADE 外键。 """ __tablename__ = "user_devices" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) user_id: Mapped[int] = mapped_column( ForeignKey("users.id", ondelete="CASCADE"), nullable=False ) device_id: Mapped[str] = mapped_column(String(96), nullable=False) public_key: Mapped[str] = mapped_column(String(128), nullable=False) client_version: Mapped[str] = mapped_column( String(32), nullable=False, default="", server_default="" ) status: Mapped[str] = mapped_column( String(16), nullable=False, default="active", server_default="active" ) bound_at: Mapped[datetime] = mapped_column(UTCDateTime, nullable=False) last_used_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) revoked_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) revoked_by: Mapped[int | None] = mapped_column( ForeignKey("users.id", ondelete="SET NULL"), nullable=True ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) __table_args__ = ( Index( "uq_user_devices_active_user", text("(CASE WHEN status = 'active' THEN user_id ELSE NULL END)"), unique=True, ), Index("ix_user_devices_device_id", "device_id"), ) class DeviceChallenge(Base): """DCAuth challenge → authorized → ticket_issued → consumed 状态机。 所有状态推进都带 ``status`` 与 ``expires_at`` 条件做原子 UPDATE, 保证 challenge / ticket 只能被消费一次。 """ __tablename__ = "device_challenges" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) challenge_id: Mapped[str] = mapped_column(String(64), nullable=False) app: Mapped[str] = mapped_column(String(32), nullable=False) purpose: Mapped[str] = mapped_column( String(16), nullable=False, default="login", server_default="login" ) challenge: Mapped[str] = mapped_column(String(128), nullable=False) poll_token_hash: Mapped[str] = mapped_column(String(64), nullable=False) status: Mapped[str] = mapped_column( String(16), nullable=False, default="pending", server_default="pending" ) user_id: Mapped[int | None] = mapped_column( ForeignKey("users.id", ondelete="SET NULL"), nullable=True ) device_id: Mapped[str] = mapped_column( String(96), nullable=False, default="", server_default="" ) public_key: Mapped[str] = mapped_column( String(128), nullable=False, default="", server_default="" ) client_version: Mapped[str] = mapped_column( String(32), nullable=False, default="", server_default="" ) device_ticket_hash: Mapped[str] = mapped_column( String(64), nullable=False, default="", server_default="" ) expires_at: Mapped[datetime] = mapped_column(UTCDateTime, nullable=False) authorized_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) ticket_issued_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) consumed_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) __table_args__ = ( UniqueConstraint("challenge_id", name="uq_device_challenges_challenge_id"), Index("ix_device_challenges_expires", "expires_at"), Index("ix_device_challenges_user", "user_id", "created_at"), ) class HuyaAccount(Base): """虎牙账号""" __tablename__ = "huya_accounts" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) uid: Mapped[str] = mapped_column(String(32), default="", index=True) yyuid: Mapped[str] = mapped_column(String(32), default="", index=True) username: Mapped[str] = mapped_column(String(128), default="") account_password: Mapped[str] = mapped_column(EncryptedText(), default="") nickname: Mapped[str] = mapped_column(String(128), default="") cookie: Mapped[str] = mapped_column(EncryptedText(), nullable=False) # App 登录原始凭据(16 字段 udb_*,不含本地随机生成的网页设备字段)。 # 网页运行 ck(cookie 列)含 guid/_qimei_uuid42 等设备快照,若被风控标记 # 可从 raw_cookie 重建;也用于审计/复核登录有效性。 raw_cookie: Mapped[str] = mapped_column(EncryptedText(), nullable=False, default="") tag: Mapped[str] = mapped_column(String(64), default="") remark: Mapped[str] = mapped_column(String(256), default="") status: Mapped[str] = mapped_column(String(32), default="imported") # 上次成功登录渠道: web=旧版Web协议 / app=App协议(推荐) / sms=短信; 空=仅导入Cookie login_channel: Mapped[str] = mapped_column(String(16), default="", index=True) points: Mapped[int | None] = mapped_column(Integer, nullable=True) game_name: Mapped[str] = mapped_column(String(128), default="") game_channel: Mapped[str] = mapped_column(String(64), default="") game_phone: Mapped[str] = mapped_column(String(64), default="") # 精英宝典开通状态(积分中心 getRedeemNeedGoods 的 tag5;NULL = 还没查过)。 # 光看积分区分不了「开通后花完」和「从没开通」,必须单独落库。 elite_opened: Mapped[bool | None] = mapped_column(Boolean, nullable=True) # 最近一次宝典订单的支付时间(Unix 秒;与斗鱼 elite_expire_time 同一约定)。 elite_open_time: Mapped[int | None] = mapped_column(Integer, nullable=True) # 宝典有效期(Unix 秒):取积分中心页面配置里本赛季的结束时间(福利季 Q4 → 12-31)。 elite_expire_time: Mapped[int | None] = mapped_column(Integer, nullable=True) sms_url: Mapped[str] = mapped_column(Text, default="") assigned_to: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True, index=True ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) assigned_user: Mapped[User | None] = relationship( "User", back_populates="huya_accounts", foreign_keys=[assigned_to] ) tasks: Mapped[list[HuyaTask]] = relationship("HuyaTask", back_populates="account") class HuyaRegisterBatch(Base): """虎牙自动注册批次(持久化元数据)""" __tablename__ = "huya_register_batches" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) batch_id: Mapped[str] = mapped_column( String(64), unique=True, nullable=False, index=True ) tag: Mapped[str] = mapped_column(String(64), default="") created_by: Mapped[int] = mapped_column( ForeignKey("users.id"), nullable=False, index=True ) concurrency: Mapped[int] = mapped_column(Integer, default=1) wait_seconds: Mapped[int] = mapped_column(Integer, default=180) poll_interval: Mapped[int] = mapped_column(Integer, default=5) password_prefix: Mapped[str] = mapped_column(String(16), default="hy") fixed_password: Mapped[str] = mapped_column(EncryptedText(), default="") use_proxy: Mapped[bool] = mapped_column(Boolean, default=False) status: Mapped[str] = mapped_column(String(32), default="pending", index=True) message: Mapped[str] = mapped_column(String(512), default="") total: Mapped[int] = mapped_column(Integer, default=0) success_count: Mapped[int] = mapped_column(Integer, default=0) failed_count: Mapped[int] = mapped_column(Integer, default=0) stopped_count: Mapped[int] = mapped_column(Integer, default=0) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) started_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) finished_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) items: Mapped[list[HuyaRegisterItem]] = relationship( "HuyaRegisterItem", back_populates="batch", cascade="all, delete-orphan" ) class HuyaRegisterItem(Base): """虎牙自动注册批次内单条手机号状态""" __tablename__ = "huya_register_items" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) batch_db_id: Mapped[int] = mapped_column( Integer, ForeignKey("huya_register_batches.id"), nullable=False, index=True ) batch_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) line: Mapped[int] = mapped_column(Integer, nullable=False) phone: Mapped[str] = mapped_column(String(64), default="", index=True) provider: Mapped[str] = mapped_column(String(32), default="") sms_url: Mapped[str] = mapped_column(Text, default="") status: Mapped[str] = mapped_column(String(32), default="pending", index=True) message: Mapped[str] = mapped_column(String(512), default="") code: Mapped[str] = mapped_column(String(32), default="") change_code: Mapped[str] = mapped_column(String(32), default="") attempts: Mapped[int] = mapped_column(Integer, default=0) change_attempts: Mapped[int] = mapped_column(Integer, default=0) account_id: Mapped[int | None] = mapped_column( ForeignKey("huya_accounts.id"), nullable=True ) username: Mapped[str] = mapped_column(String(128), default="") uid: Mapped[str] = mapped_column(String(32), default="") password: Mapped[str] = mapped_column(EncryptedText(), default="") password_changed: Mapped[bool] = mapped_column(Boolean, default=False) cookie: Mapped[str] = mapped_column(EncryptedText(), default="") started_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) finished_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) batch: Mapped[HuyaRegisterBatch] = relationship( "HuyaRegisterBatch", back_populates="items" ) class HuyaRegisterSuccessLog(Base): """虎牙自动注册成功流水(只追加,供随时导出)""" __tablename__ = "huya_register_success_logs" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) batch_id: Mapped[str] = mapped_column(String(64), default="", index=True) item_id: Mapped[int | None] = mapped_column(Integer, nullable=True) account_id: Mapped[int | None] = mapped_column( ForeignKey("huya_accounts.id"), nullable=True ) phone: Mapped[str] = mapped_column(String(64), default="", index=True) username: Mapped[str] = mapped_column(String(128), default="") uid: Mapped[str] = mapped_column(String(32), default="") password: Mapped[str] = mapped_column(EncryptedText(), default="") sms_url: Mapped[str] = mapped_column(Text, default="") tag: Mapped[str] = mapped_column(String(64), default="", index=True) provider: Mapped[str] = mapped_column(String(32), default="") created_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) created_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, index=True ) class HuyaTask(Base): """虎牙业务任务""" __tablename__ = "huya_tasks" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) batch_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) account_id: Mapped[int] = mapped_column( ForeignKey("huya_accounts.id"), nullable=False ) task_type: Mapped[str] = mapped_column(String(64), nullable=False, index=True) # 任务归属工作台;legacy 保留旧虎牙任务,elite 隔离精英宝典任务。 handbook_scope: Mapped[str] = mapped_column( String(16), nullable=False, default="legacy", index=True ) status: Mapped[str] = mapped_column(String(32), default="pending") message: Mapped[str] = mapped_column(String(512), default="") result: Mapped[dict | None] = mapped_column(JSON, nullable=True) created_by: Mapped[int] = mapped_column(ForeignKey("users.id"), nullable=False) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) finished_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) account: Mapped[HuyaAccount] = relationship("HuyaAccount", back_populates="tasks") class HuyaWorkbenchAccount(Base): """用户在虎牙指定工作台中启用的账号。""" __tablename__ = "huya_workbench_accounts" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) user_id: Mapped[int] = mapped_column( ForeignKey("users.id"), nullable=False, index=True ) handbook_scope: Mapped[str] = mapped_column(String(16), nullable=False, index=True) account_id: Mapped[int] = mapped_column( ForeignKey("huya_accounts.id"), nullable=False, index=True ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) __table_args__ = ( UniqueConstraint( "user_id", "handbook_scope", "account_id", name="uq_huya_workbench_account", ), ) class HuyaWorkbench(Base): """工作台配置哨兵,令空账号集合也能跨浏览器同步。""" __tablename__ = "huya_workbenches" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) user_id: Mapped[int] = mapped_column( ForeignKey("users.id"), nullable=False, index=True ) handbook_scope: Mapped[str] = mapped_column(String(16), nullable=False, index=True) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) __table_args__ = ( UniqueConstraint("user_id", "handbook_scope", name="uq_huya_workbench"), ) class HuyaConfig(Base): """虎牙业务配置""" __tablename__ = "huya_config" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) room_pid: Mapped[str] = mapped_column(String(64), default=HUYA_DEFAULT_ROOM_PID) sid: Mapped[str] = mapped_column(String(32), default=HUYA_DEFAULT_SID) outer_act_id: Mapped[str] = mapped_column( String(32), default=HUYA_DEFAULT_OUTER_ACT_ID ) bind_act_id: Mapped[str] = mapped_column( String(32), default=HUYA_DEFAULT_BIND_ACT_ID ) pay_channel: Mapped[str] = mapped_column( String(16), default=HUYA_DEFAULT_PAY_CHANNEL ) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class HuyaGoodsSnapshot(Base): """虎牙兑换商品快照""" __tablename__ = "huya_goods_snapshot" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) account_id: Mapped[int | None] = mapped_column(Integer, nullable=True, index=True) sid: Mapped[int] = mapped_column(Integer, default=0, index=True) product_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) name: Mapped[str] = mapped_column(String(256), default="") price: Mapped[int | None] = mapped_column(Integer, nullable=True) remain_text: Mapped[str] = mapped_column(String(64), default="") raw: Mapped[dict | None] = mapped_column(JSON, nullable=True) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class HuyaRechargeGoodsSnapshot(Base): """虎牙充值商品快照""" __tablename__ = "huya_recharge_goods_snapshot" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) account_id: Mapped[int | None] = mapped_column(Integer, nullable=True, index=True) sid: Mapped[int] = mapped_column(Integer, default=0, index=True) spu_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) sku_id: Mapped[str] = mapped_column(String(64), default="", index=True) name: Mapped[str] = mapped_column(String(256), default="") price: Mapped[int | None] = mapped_column(Integer, nullable=True) stock: Mapped[int | None] = mapped_column(Integer, nullable=True) buy_limit: Mapped[int | None] = mapped_column(Integer, nullable=True) icon: Mapped[str] = mapped_column(String(512), default="") description: Mapped[str] = mapped_column(String(512), default="") task_id: Mapped[str] = mapped_column(String(64), default="") task_name: Mapped[str] = mapped_column(String(256), default="") raw: Mapped[dict | None] = mapped_column(JSON, nullable=True) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class ProxyConfig(Base): """代理配置(全局单条记录)""" __tablename__ = "proxy_config" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) enabled: Mapped[bool] = mapped_column(Boolean, default=False) api_url: Mapped[str] = mapped_column(EncryptedText(), default="") http: Mapped[str] = mapped_column(EncryptedText(), default="") https: Mapped[str] = mapped_column(EncryptedText(), default="") # 白名单 whitelist_enabled: Mapped[bool] = mapped_column(Boolean, default=False) whitelist_platform: Mapped[str] = mapped_column(String(32), default="xiequ") whitelist_credentials: Mapped[dict | None] = mapped_column(JSON, nullable=True) # 旧字段保留(向后兼容双写) whitelist_uid: Mapped[str] = mapped_column(EncryptedText(), default="") whitelist_ukey: Mapped[str] = mapped_column(EncryptedText(), default="") class AuditLog(Base): """操作审计日志""" __tablename__ = "audit_logs" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) user_id: Mapped[int | None] = mapped_column(Integer, nullable=True) username: Mapped[str] = mapped_column(String(64), default="") action: Mapped[str] = mapped_column(String(128), nullable=False) target: Mapped[str] = mapped_column(String(256), default="") detail: Mapped[str] = mapped_column(Text, default="") # 账号相关操作用它关联到具体账号(旧记录为 NULL)。 # target 是自由文本(用户名/批次号/整句话),不能可靠反查账号,所以单独存 id。 account_id: Mapped[int | None] = mapped_column(Integer, nullable=True, index=True) # 旧记录未标记结果时为 NULL,避免把历史操作误判成失败。 success: Mapped[bool | None] = mapped_column(Boolean, nullable=True, index=True) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) class AccountEvent(Base): """账号事件流(append-only)。 `accounts` 存**当前状态**,这张表存**发生过什么** —— 账号详情页的时间线就读它。 状态字段都是覆盖式更新(积分、余额、开通标记),事件表补上「什么时候变成这样」。 设计约定: - `occurred_at` 是**业务发生时间**(不是入库时间); - `amount` 有符号(充值为正、兑换消耗为负),便于页面直接算累计; - `source_ref` 是幂等键,可空且唯一:收集器重跑、事件重复发射都靠它兜住; - `detail` 只存精简字段,不放原始大 JSON(那是 douyu_tasks 的包袱)。 除了「时间线」,它还承担**业务台账**(开通 / 积分 / 兑换 / 充值记录)—— 查询靠 `(account_id, event_type, subject_key, occurred_at)` 复合索引, 所以**有流程的东西才另建表**(如兑换工单),「事实」一律进这里。 """ __tablename__ = "account_events" id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True) # 不单独建 account_id 索引:迁移建的是 (account_id, occurred_at) 复合索引, # 前缀已覆盖按账号查,再单建一个纯属冗余。 account_id: Mapped[int] = mapped_column(ForeignKey("accounts.id"), nullable=False) event_type: Mapped[str] = mapped_column(String(32), nullable=False, index=True) # 粗分类:lifecycle(状态变迁)/ auth(登录与 CK)/ business(业务)/ ops(人工) category: Mapped[str] = mapped_column( String(16), nullable=False, default="", server_default="" ) occurred_at: Mapped[datetime] = mapped_column(UTCDateTime, nullable=False) title: Mapped[str] = mapped_column(String(256), default="", server_default="") amount: Mapped[int | None] = mapped_column(Integer, nullable=True) balance_after: Mapped[int | None] = mapped_column(Integer, nullable=True) # 台账检索键:subject_type = commodity / skin / order / role, # subject_key = 斗鱼 commodity_id / 归一后的 skin_key / 订单号。 # 只放**需要检索**的键,其余细节进 detail —— 别把这里变成第二个 detail。 subject_type: Mapped[str] = mapped_column( String(16), nullable=False, default="", server_default="" ) subject_key: Mapped[str] = mapped_column( String(96), nullable=False, default="", server_default="" ) detail: Mapped[dict | None] = mapped_column(JSON, nullable=True) source: Mapped[str] = mapped_column(String(24), default="", server_default="") # 谁触发的:user / system / public(收集链接) actor_type: Mapped[str] = mapped_column( String(16), nullable=False, default="", server_default="" ) actor_id: Mapped[int | None] = mapped_column(Integer, nullable=True) # 幂等键:可空且唯一(MySQL 允许多个 NULL,便于「没有幂等键」的事件共存) source_ref: Mapped[str | None] = mapped_column( String(96), nullable=True, index=True, unique=True ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) __table_args__ = ( # 台账查询:「该账号该事件类型该客体最近一次」——365 天同皮肤规则靠它。 # 跨账号反查(「这件皮肤被谁兑过」)吃 event_type + subject_key 前缀。 Index( "ix_account_events_ledger", "account_id", "event_type", "subject_key", "occurred_at", ), ) class AutomationJob(Base): """自动化作业定义。状态落库,进程重启不丢调度进度。""" __tablename__ = "automation_jobs" key: Mapped[str] = mapped_column(String(64), primary_key=True) title: Mapped[str] = mapped_column(String(128), default="") # 默认关闭:按「渐进上线」原则,先观察再打开。 enabled: Mapped[bool] = mapped_column(Boolean, default=False, server_default="0") # **多久跑一次**(秒)。这是调度频率,与"同一行多久重检"是两回事。 # 以前调度频率是**硬编码**的 JOB_INTERVAL_SECONDS(5 分钟), # UI 上那个"单账号重检间隔"其实是 `interval_seconds` —— # 两个概念挤在一个输入框里,很别扭(用户指出)。 run_interval_seconds: Mapped[int] = mapped_column( Integer, default=300, server_default="300" ) # 同一**行**(账号)多久重检一次(秒)—— 由作业自己的选行逻辑使用, # **不参与调度**。别和上面那个混。 interval_seconds: Mapped[int] = mapped_column( Integer, default=21600, server_default="21600" ) batch_size: Mapped[int] = mapped_column(Integer, default=200, server_default="200") concurrency: Mapped[int] = mapped_column(Integer, default=5, server_default="5") config: Mapped[dict | None] = mapped_column(JSON, nullable=True) last_run_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) next_run_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) last_status: Mapped[str] = mapped_column(String(16), default="", server_default="") last_message: Mapped[str] = mapped_column( String(512), default="", server_default="" ) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class AutomationRun(Base): """自动化作业每一轮的执行记录,用于页面展示与排障。""" __tablename__ = "automation_runs" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) job_key: Mapped[str] = mapped_column(String(64), nullable=False, index=True) started_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) finished_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) status: Mapped[str] = mapped_column( String(16), default="running", server_default="running" ) # running / success / failed / skipped scanned: Mapped[int] = mapped_column(Integer, default=0, server_default="0") valid: Mapped[int] = mapped_column(Integer, default=0, server_default="0") invalid: Mapped[int] = mapped_column(Integer, default=0, server_default="0") relogin_started: Mapped[int] = mapped_column(Integer, default=0, server_default="0") relogin_success: Mapped[int] = mapped_column(Integer, default=0, server_default="0") skipped: Mapped[int] = mapped_column(Integer, default=0, server_default="0") message: Mapped[str] = mapped_column(String(512), default="", server_default="") detail: Mapped[dict | None] = mapped_column(JSON, nullable=True) class ExternalOrderCache(Base): """order_site 订单快照(P0 适配层的本地缓存)。 主键是 (platform_order_id, source_order_id) 两列:同一个订单号在 order_site 里可能有两行(发货方内部行 + 真实店铺行,实测 541 组,见规划 §6.5.1), 按订单号单列存会互相覆盖。 只作快照与降级用,24 小时后重查;不参与任何写业务。 """ __tablename__ = "external_order_cache" platform_order_id: Mapped[str] = mapped_column( String(64), primary_key=True, index=True ) source_order_id: Mapped[str] = mapped_column(String(64), primary_key=True) platform: Mapped[str] = mapped_column(String(32), default="", server_default="") provider: Mapped[str] = mapped_column(String(32), default="", server_default="") shop_id: Mapped[str] = mapped_column(String(64), default="", server_default="") order_status: Mapped[str] = mapped_column(String(32), default="", server_default="") sku_code: Mapped[str] = mapped_column(String(128), default="", server_default="") sku_name: Mapped[str] = mapped_column(String(512), default="", server_default="") seller_id: Mapped[str] = mapped_column(String(64), default="", server_default="") rel_item_id: Mapped[str] = mapped_column(String(64), default="", server_default="") rel_sku_id: Mapped[str] = mapped_column(String(64), default="", server_default="") sku_nick: Mapped[str] = mapped_column(String(512), default="", server_default="") item_title: Mapped[str] = mapped_column(String(512), default="", server_default="") quantity: Mapped[int | None] = mapped_column(Integer, nullable=True) route: Mapped[str] = mapped_column(String(32), default="", server_default="") payload: Mapped[dict | None] = mapped_column(JSON, nullable=True) fetched_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, index=True ) class FileAsset(Base): """上传文件台账(对齐 order_site 的 ``file_assets``)。 对象本体在对象存储里(内网 OSS),库中只留 key 与元数据 —— 图片一律经 ``/api/files/object?key=...`` 由后端代理回读,不下发 OSS 直链、也不存签名 URL (签名链接会在入库时被原样存下来,过期后到处裂图)。 变体 key 为空表示缩略图生成失败,回读接口会自动回退原图。 """ __tablename__ = "file_assets" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) object_key: Mapped[str] = mapped_column( String(512), unique=True, nullable=False, index=True ) scene: Mapped[str] = mapped_column( String(32), default="misc", server_default="misc", index=True ) original_filename: Mapped[str] = mapped_column( String(255), default="", server_default="" ) content_type: Mapped[str] = mapped_column(String(64), default="", server_default="") size_bytes: Mapped[int] = mapped_column(BigInteger, default=0, server_default="0") thumbnail_object_key: Mapped[str] = mapped_column( String(512), default="", server_default="" ) medium_object_key: Mapped[str] = mapped_column( String(512), default="", server_default="" ) uploader_type: Mapped[str] = mapped_column( String(32), default="user", server_default="user" ) uploader_id: Mapped[str] = mapped_column( String(64), default="", server_default="", index=True ) status: Mapped[str] = mapped_column( String(16), default="active", server_default="active" ) metadata_json: Mapped[dict | None] = mapped_column(JSON, nullable=True) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class HuyaCollabShop(Base): """协作台账的**店铺字典**(新建协作单时点一下选,不用手打)。 几个取舍,改之前先看: 1. **订单里存的是店铺名字符串,不是 id**(`huya_external_orders.shop`)—— 历史 Excel 数据就是文本,改成外键要动所有读写与导入。代价:改名要么级联 (`update_shop(..., rename_orders=True)`,默认开),要么只影响以后的单子; 2. **订单里出现过的店铺名会自动登记**(新建/编辑/粘贴导入都走 `ensure_shops_registered`),所以字典永远覆盖已有数据,筛选下拉不会漏; 3. **停用(`is_active=0`)≠ 删除**:只是不再出现在新建的选择里,历史订单与筛选照旧; 4. **不加乐观锁 version**:字典是十几行的低频维度,改名冲突靠审计看,不值得为它 再加一套版本号(台账订单行才需要,见 `HuyaExternalOrder`)。 """ __tablename__ = "huya_collab_shops" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) name: Mapped[str] = mapped_column( String(64), unique=True, nullable=False, index=True ) # 越小越靠前(新建下拉、筛选下拉都按它排)。 sort_order: Mapped[int] = mapped_column(Integer, default=0, server_default="0") is_active: Mapped[bool] = mapped_column( Boolean, default=True, server_default="1", index=True ) remark: Mapped[str] = mapped_column(String(255), default="", server_default="") created_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) updated_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow ) class HuyaExternalOrder(Base): """虎牙外部 CK 协作台账(替代 Excel 多人协同表)。 **一行 = 一单 = 一个外部 CK**,设计见 ``docs/设计-虎牙外部CK协作台账.md``。 两条边界(改动前先读设计文档 §2.3,别当成 bug 修): 1. **CK 独立存本表,刻意不写 ``huya_accounts``、不做外键**。同一个虎牙号可能同时 存在于两处、各自过期,这是已知代价;本表的 CK 只在「协作单」语境里有效, 需要拿去跑任务时人工到工作台重新导入,不自动同步。 2. **不接任务执行器**:绑定/充值/上脚本都在别的工具里做,本表只记录结果。 「一键送进工作台」是以后显式加的新动作。 两套状态各管一摊,不要混:``status`` 是业务进度(一单卡在哪一步), ``ck_status`` 是凭据本身有没有失效。CK 失效**不会**自动改业务状态。 """ __tablename__ = "huya_external_orders" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) # Excel B 列:订单编号,台账内唯一(重复导入按「更新」处理)。 order_no: Mapped[str] = mapped_column( String(64), unique=True, nullable=False, index=True ) # Excel A 列:店铺。 shop: Mapped[str] = mapped_column( String(64), default="", server_default="", index=True ) # Excel C 列:负责人(共享表里只是筛选维度,不是权限边界)。 owner_id: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True, index=True ) # ---- 外部 CK 本体(独立于 huya_accounts)---- # uid 可空、**不再唯一**(2026-10-16 用户拍板):同一个买家买两件常常继续用同一份 CK, # 唯一索引会让第二单直接插不进去(迁移 0058 把唯一索引降成普通索引)。 # 「这个虎牙号还挂在哪些单上」只作为提示与审计信息,不做约束(见设计文档 §5.6)。 uid: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True) yyuid: Mapped[str] = mapped_column(String(32), default="", server_default="") hy_username: Mapped[str] = mapped_column(String(128), default="", server_default="") nickname: Mapped[str] = mapped_column(String(128), default="", server_default="") cookie: Mapped[str] = mapped_column(EncryptedText(), nullable=False, default="") # App 原始凭据:网页运行 CK 被风控标记时可由它重建(见 rebuild_web_cookie_from_raw)。 raw_cookie: Mapped[str] = mapped_column(EncryptedText(), nullable=False, default="") ck_status: Mapped[str] = mapped_column( String(16), default="unverified", server_default="unverified", index=True ) ck_checked_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) ck_check_message: Mapped[str] = mapped_column( String(256), default="", server_default="" ) # ---- Excel D 列:绑定斗鱼号 ---- bind_douyu_account: Mapped[str] = mapped_column( String(128), default="", server_default="" ) bind_douyu_uid: Mapped[str] = mapped_column( String(32), default="", server_default="" ) # ---- 探针读到的绑定对象(游戏账号 / 角色,**只读快照**)---- # 2026-10-16 真机确认:`check_user_bind_game_account` 返回的是**绑定在该虎牙号上的 # 游戏账号**(账号昵称 / 角色名 / 平台·区服)。「这单绑了哪个号、哪个角色」只有这里 # 可信 —— 上面那个 `bind_douyu_account` 是人工填的自由文本,Excel 粘贴导入还在用它。 # 四个列**由探针独占**:每次验证覆盖写入,读的时间看 `bind_snapshot_at`;人工不编辑。 bind_game_account: Mapped[str] = mapped_column( String(128), default="", server_default="" ) bind_game_role: Mapped[str] = mapped_column( String(128), default="", server_default="" ) bind_game_channel: Mapped[str] = mapped_column( String(128), default="", server_default="" ) bind_snapshot_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) # ---- Excel E/F 列:两张截图(存 OSS object_key,不存 URL —— URL 可推导, # 存 URL 会在换存储时全部失效)。数组,第一张作封面。 bind_images: Mapped[list | None] = mapped_column(JSON, nullable=True) home_images: Mapped[list | None] = mapped_column(JSON, nullable=True) # ---- Excel G 列(表头写的「备注」,实际是礼包名)+ 自由备注 ---- gift_name: Mapped[str] = mapped_column(String(128), default="", server_default="") # 购买该礼包所需积分快照(来自积分中心 queryAllocation 的 tag75.tag0.tag2)。 # 积分会随活动/商品变化,必须在下单时存一份,不能每次按礼包名现查。 required_points: Mapped[int | None] = mapped_column(Integer, nullable=True) remark: Mapped[str] = mapped_column(String(512), default="", server_default="") # ---- 业务进度 ---- status: Mapped[str] = mapped_column( String(16), default="incomplete", server_default="incomplete", index=True ) bound_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) recharged_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) scripted_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) done_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) void_reason: Mapped[str] = mapped_column(String(256), default="", server_default="") # ---- 充值核账快照(按 bind_game_account 整组计算)---- points_checked_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True ) points_balance: Mapped[int | None] = mapped_column(Integer, nullable=True) points_required_total: Mapped[int | None] = mapped_column(Integer, nullable=True) points_surplus: Mapped[int | None] = mapped_column(Integer, nullable=True) points_threshold: Mapped[int | None] = mapped_column(Integer, nullable=True) points_check_reason: Mapped[str] = mapped_column( String(16), default="", server_default="" ) points_check_message: Mapped[str] = mapped_column( String(512), default="", server_default="" ) # 组内订单、各 CK 余额、缺口/多余等明细(JSON,只做展示与审计) points_check_detail: Mapped[dict | None] = mapped_column(JSON, nullable=True) # ---- 归档(与业务状态正交:归档后仍是「抢购成功」,只是默认不出现在主台账)---- # NULL = 未归档;软隐藏不删数据,取消归档即可恢复。 archived_at: Mapped[datetime | None] = mapped_column( UTCDateTime, nullable=True, index=True ) archived_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) archive_reason: Mapped[str] = mapped_column( String(256), default="", server_default="" ) # ---- 只读查询快照(不写 huya_accounts)---- points: Mapped[int | None] = mapped_column(Integer, nullable=True) elite_opened: Mapped[bool | None] = mapped_column(Boolean, nullable=True) snapshot_at: Mapped[datetime | None] = mapped_column(UTCDateTime, nullable=True) created_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True, index=True ) # 最后修改人:协作表上要能一眼看出「这行刚被谁动过」。 updated_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) # 乐观锁版本号:每次写入 +1。 # **刻意不用 updated_at 当锁**:本项目的 UTCDateTime 落库是 MySQL DATETIME # (秒级精度),同一秒内的两次改动会得到完全相同的 updated_at, # 锁就形同虚设 —— Excel 那种「后保存的覆盖前一个」会原样复活。 version: Mapped[int] = mapped_column(Integer, default=0, server_default="0") created_at: Mapped[datetime] = mapped_column(UTCDateTime, default=_utcnow) # 显示用(列表默认排序键);并发保护靠上面的 version。 updated_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, onupdate=_utcnow, index=True ) class HuyaExternalOrderMetric(Base): """虎牙外部订单的**账号全生命周期**快照:每查一次积分/兑换记录写一条。 2026-10-16 用户需求:抢购完成后查兑换记录与积分,**每次积分变化都要落一条**, 这样才能靠"兑换记录 + 积分变化"判断到底兑换成功没有。 设计取舍: 1. **只追加、不更新、不删除**(快照语义):历史要能回放,改一行就等于毁证; 2. **不存凭据**:`raw` 只放积分响应与兑换记录明细(里面没有 cookie), 凭据永远只待在 `huya_external_orders.cookie`; 3. `verdict`:`success`(兑换记录里有这一单的礼包)/ `failed`(接口通了但没记录)/ `unknown`(查了兑换记录,但接口没通或没可比的礼包名)/**空串**(本次根本没查兑换记录, 2026-10-17 拆出「只查积分」入口后才有),**只有 success / failed 会去改业务状态**; `raw.scope` 记着这条快照查了哪一半(`both` / `score` / `records`),前端据此取舍。 4. 订单删掉时这条也跟着删(`ondelete="CASCADE"`)—— 它没有独立价值。 """ __tablename__ = "huya_external_order_metrics" id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True) order_id: Mapped[int] = mapped_column( ForeignKey("huya_external_orders.id", ondelete="CASCADE"), index=True ) # 冗余一份单号与 uid:订单被改单号后,历史快照仍然说得清"当时查的是谁"。 order_no: Mapped[str] = mapped_column(String(64), default="", server_default="") uid: Mapped[str] = mapped_column( String(32), default="", server_default="", index=True ) sid: Mapped[int | None] = mapped_column(Integer, nullable=True) # 积分快照(可用积分 / 累计获得 / 已消耗)—— 变化靠相邻两条相减就能看出来 score: Mapped[int | None] = mapped_column(Integer, nullable=True) gained_score: Mapped[int | None] = mapped_column(Integer, nullable=True) used_score: Mapped[int | None] = mapped_column(Integer, nullable=True) records_total: Mapped[int] = mapped_column(Integer, default=0, server_default="0") records_matched: Mapped[int] = mapped_column(Integer, default=0, server_default="0") # success / failed / unknown(见类文档)+ 一句人话结论 verdict: Mapped[str] = mapped_column( String(16), default="unknown", server_default="unknown", index=True ) message: Mapped[str] = mapped_column(String(512), default="", server_default="") # manual(人工点)/ batch(勾选批量):出问题时能分清是谁按的 source: Mapped[str] = mapped_column( String(16), default="manual", server_default="manual" ) # 接口原始内容(积分响应 + 兑换记录明细;**不含凭据**) raw: Mapped[dict | None] = mapped_column(JSON, nullable=True) created_by: Mapped[int | None] = mapped_column( ForeignKey("users.id"), nullable=True ) created_at: Mapped[datetime] = mapped_column( UTCDateTime, default=_utcnow, index=True )