285791c12f
实测发现 codeproxy 偶发不稳，单套中某张图重试3次仍失败会记 error。
本次加按需补图：只重生标 error 的分镜，成功的图与 token 不浪费。
- 019迁移+模型：fission_tasks 加 source_task_id(新架构不扇出GenerationTask,
补图需复刻首轮上下文:产品/operator key/张数,故落库回查)
- fission_image_retry：只补失败 role(引擎 target_role 单张重生,R2零改动),
merge 回 images_json,全恢复则 status=image_done
- tasks.py：retry_fission_images Celery task,key归属源任务operator(基石B),
幂等锁防重复补图
- api：POST /fission/{id}/notes/{seq}/retry-images,无失败分镜守卫 queued=false
- 前端：FissionNoteCard 失败提示改"重试补图"按钮+loading,父页轮询刷新
实测task5 seq1(hook图首轮codeproxy重试3次失败)补图跑通：只补hook(1024×1536
去AI化)、applied_proof原图不动、recovered=1 still_failed=0、status=image_done;
apiports503回落codeproxy gpt-5.5强档兜底;seq0无失败图守卫queued=false
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
108 lines
4.0 KiB
Python
108 lines
4.0 KiB
Python
"""
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app/models/fission.py — fission_tasks
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Alembic 010 第11环裂变引擎（1爆款→N套完整笔记包）
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reference_level: low/mid/high（参考程度）
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status: pending/generating/done/failed
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"""
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from datetime import datetime
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from sqlalchemy import (
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BigInteger, DateTime, ForeignKey,
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Index, Integer, String, Text, func,
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)
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from sqlalchemy.orm import Mapped, mapped_column
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from app.core.database import Base
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class FissionTask(Base):
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"""裂变任务：1爆款→N套完整笔记包（第11环），在工作台内呈现。"""
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__tablename__ = "fission_tasks"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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workspace_id: Mapped[int] = mapped_column(
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BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
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)
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# 爆款源笔记内容（文案+图描述），JSON存储
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source_note: Mapped[str | None] = mapped_column(
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Text, comment="爆款源笔记内容（文案+图描述，JSON存储）"
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)
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# 源生成任务ID：补图/重生需复刻首轮上下文(产品+operator key+张数)时回查
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source_task_id: Mapped[int | None] = mapped_column(
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BigInteger, nullable=True, comment="源 GenerationTask id（补图复刻上下文用）"
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)
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# 参考程度：low/mid/high
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reference_level: Mapped[str] = mapped_column(
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String(10), default="mid", nullable=False,
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comment="参考程度: low/mid/high"
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)
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# 裂变套数（默认3套）
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fanout_count: Mapped[int] = mapped_column(
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Integer, default=3, nullable=False,
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comment="裂变套数（默认3套）"
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)
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# 状态机
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status: Mapped[str] = mapped_column(
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String(20), default="pending", nullable=False,
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comment="状态: pending/generating/done/failed"
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=func.now(), nullable=False
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)
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__table_args__ = (
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Index("idx_fission_tasks_workspace_id", "workspace_id"),
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)
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class FissionNote(Base):
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"""裂变产出的单套完整笔记包（一次LLM出N套，每套落一行）。
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对齐上线版 split.js handleContentSplit：每套含 标题/正文/标签/封面/imagePlan，
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带评分+裂变维度+生图结果。北哥在独立展示页查看。
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"""
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__tablename__ = "fission_notes"
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id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
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fission_id: Mapped[int] = mapped_column(
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BigInteger, ForeignKey("fission_tasks.id", ondelete="CASCADE"), nullable=False
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)
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workspace_id: Mapped[int] = mapped_column(
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BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
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)
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seq: Mapped[int] = mapped_column(
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Integer, default=0, nullable=False, comment="第几套（0起）"
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)
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# 完整笔记包 JSON：title/content/tags/coverTitle/imagePlan/dimension/audience/scene/painPoint/keywords
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note_json: Mapped[str | None] = mapped_column(
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Text, comment="完整笔记包JSON"
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)
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# 生图结果 JSON：[{role,name,image_url,error}...]
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images_json: Mapped[str | None] = mapped_column(
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Text, comment="生图结果JSON"
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)
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score: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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passed: Mapped[bool] = mapped_column(
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Integer, default=0, nullable=False, comment="是否过线(>=80)"
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)
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needs_optimization: Mapped[bool] = mapped_column(
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Integer, default=0, nullable=False, comment="不达标降级草稿标记"
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)
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dimension: Mapped[str | None] = mapped_column(
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String(64), comment="裂变维度: 换角度/换痛点/换人群"
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)
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status: Mapped[str] = mapped_column(
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String(20), default="pending", nullable=False,
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comment="状态: pending/scored/image_done/failed"
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime, server_default=func.now(), nullable=False
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)
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__table_args__ = (
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Index("idx_fission_notes_fission_id", "fission_id"),
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Index("idx_fission_notes_workspace_id", "workspace_id"),
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)
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