1、增加调用 AI 视频生成能力和虚拟素材库管理的对外api
2、增加后台apikkey管理 3、增加apikey单独的模型定价 4、增加apikey调用情况 5、完善所有数据的注释增加
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from datetime import datetime
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from sqlalchemy import Boolean, DateTime, Float, Index, Integer, String, Text, text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import Base, TimestampMixin, SoftDeleteMixin
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from app.utils.security import encrypt_text, decrypt_text
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class ApiKey(Base, TimestampMixin, SoftDeleteMixin):
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"""对外开放 API 的密钥管理表。
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每个 api-key 对应一个外部调用方(公司/组织),
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可配置可调用模型、配额、有效期、并发限制。
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"""
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__tablename__ = "api_keys"
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__table_args__ = (
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Index("idx_api_keys_active", "is_active", postgresql_where=text("deleted_at IS NULL")),
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Index("idx_api_keys_company", "company_name"),
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)
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id: Mapped[str] = mapped_column(String(32), primary_key=True)
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company_name: Mapped[str] = mapped_column(String(128), nullable=False)
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api_key_hash: Mapped[str] = mapped_column(String(64), unique=True, nullable=False, index=True)
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api_key_prefix: Mapped[str] = mapped_column(String(16), nullable=False)
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api_key_encrypted: Mapped[str] = mapped_column(Text, nullable=False, comment="AES-256-GCM 加密的完整 API Key")
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description: Mapped[str | None] = mapped_column(Text, nullable=True)
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def decrypt_api_key(self) -> str | None:
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"""解密并返回完整 API Key。"""
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return decrypt_text(self.api_key_encrypted)
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def set_plaintext_key(self, plaintext: str) -> None:
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"""设置明文 API Key(自动加密存储)。"""
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self.api_key_encrypted = encrypt_text(plaintext)
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# === 可调用模型配置 ===
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callable_models: Mapped[str] = mapped_column(Text, nullable=False, server_default="[]",
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comment='JSON数组: [{"engine_type":"video","engine_id":"xxx","model_name":"doubao-seedance-2-0-260128"}]')
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# === 配额配置(不设置=无限制) ===
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quota_limit: Mapped[float | None] = mapped_column(Float, nullable=True, comment="配额总量,NULL=无限")
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quota_cycle: Mapped[str | None] = mapped_column(String(16), nullable=True, comment="daily|monthly|one_time|NULL=无限")
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quota_used: Mapped[float] = mapped_column(Float, nullable=False, default=0.0, server_default="0.0", comment="当前周期已使用量")
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# === 有效期(不设置=永不过期) ===
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valid_from: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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valid_until: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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# === 并发限制(不设置=无限制) ===
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max_concurrent_video_tasks: Mapped[int | None] = mapped_column(Integer, nullable=True, comment="最大并发视频任务数,NULL=无限")
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# === 状态 ===
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is_active: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True, server_default="true")
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last_used_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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