吉鑫升andClaude Opus 4.7
358d5c72a6
- 业务 ORM 数据支持 MySQL 后端(asyncmy),新增 PortableJSON/
BeijingDateTime 可移植列类型、迁移脚本与切库脚本
- 修复 GET /api/scheduled-tasks/runs/{id} 的 _load_run 无限递归
(误调用自身,应委托 service.get_run)导致的 RecursionError 500
- 定时任务名按用户唯一:create/update/admin_update 主动校验,
冲突抛 DuplicateTaskNameError,路由转 409 而非裸 IntegrityError 500
- 补充回归测试 test_scheduled_task_run_lookup / _name_uniqueness
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
38 lines
1.7 KiB
Python
38 lines
1.7 KiB
Python
"""ORM model for conversation share links.
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A share link is a short, revocable code created by a user for *one* of their
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conversations. Redeeming it copies that single conversation into the redeemer's
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account. The table only stores the link itself — the conversation is copied
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lazily at import time.
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"""
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from __future__ import annotations
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from datetime import UTC, datetime
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from sqlalchemy import Boolean, String
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from sqlalchemy.orm import Mapped, mapped_column
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from deerflow.persistence.base import Base
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from deerflow.persistence.types import BeijingDateTime
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class ThreadShareRow(Base):
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__tablename__ = "thread_shares"
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# Short, URL-safe, unguessable code embedded in the share link.
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share_code: Mapped[str] = mapped_column(String(32), primary_key=True)
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# The user who created the share.
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owner_user_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
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# The single conversation (thread) this link shares.
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thread_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True)
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# Soft-disable: a revoked link can no longer be previewed or imported.
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revoked: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
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# Share mode:
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# "import" — recipient (a logged-in user) copies the conversation into
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# their own account and can keep chatting in the copy.
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# "view" — a public, read-only static page anyone can open without
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# logging in; viewers cannot send new messages.
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mode: Mapped[str] = mapped_column(String(16), nullable=False, default="import", server_default="import")
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created_at: Mapped[datetime] = mapped_column(BeijingDateTime(), nullable=False, default=lambda: datetime.now(UTC))
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