d85dcd401b
架构从"扇出N个GenerationTask各跑完整管道"改为"一次LLM调用直接出N套
完整笔记包(N=1~5)"，落 FissionNote 表 + 独立展示页。
后端：
- 018迁移：fission_notes 表(文案JSON+score+passed+imagePlan+images+status)
- fission_prompt：FISSION_SYSTEM+三档参考度(low/mid/high)+normalize_tags+品类兜底
- fission_pipeline：一次LLM出N套→各评分(@80合格线)→排序→落库,不达标标
needs_optimization 非丢弃；apiports 503 回落 codeproxy gpt-5.5 强档兜底
- fission_images：每套串行调现有生图接口(零改动image_gen/storyboard)
- tasks.py：run_fission_pipeline Celery task，删旧扇出注入
- api/v1/fission：进度聚合FissionNote + GET /fission/{id}/notes(剥内部字段)
前端：FissionProgress对齐状态机 + N套独立展示页 + FissionNoteCard
测试：test_fission_engine(19)+test_fission_pipeline(5) 全过；104 全量回归绿
实测task5(fanout=2,mid)端到端跑通：一次出2套→seq0=85过/seq1=79标优化→
生图codeproxy/edits→1024×1536去AI化→task completed→notes端点返完整数据
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
"""
|
||
app/models/fission.py — fission_tasks
|
||
Alembic 010 第11环裂变引擎（1爆款→N套完整笔记包）
|
||
|
||
reference_level: low/mid/high（参考程度）
|
||
status: pending/generating/done/failed
|
||
"""
|
||
|
||
from datetime import datetime
|
||
|
||
from sqlalchemy import (
|
||
BigInteger, DateTime, ForeignKey,
|
||
Index, Integer, String, Text, func,
|
||
)
|
||
from sqlalchemy.orm import Mapped, mapped_column
|
||
|
||
from app.core.database import Base
|
||
|
||
|
||
class FissionTask(Base):
|
||
"""裂变任务：1爆款→N套完整笔记包（第11环），在工作台内呈现。"""
|
||
__tablename__ = "fission_tasks"
|
||
|
||
id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
|
||
workspace_id: Mapped[int] = mapped_column(
|
||
BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
|
||
)
|
||
# 爆款源笔记内容（文案+图描述），JSON存储
|
||
source_note: Mapped[str | None] = mapped_column(
|
||
Text, comment="爆款源笔记内容（文案+图描述，JSON存储）"
|
||
)
|
||
# 参考程度：low/mid/high
|
||
reference_level: Mapped[str] = mapped_column(
|
||
String(10), default="mid", nullable=False,
|
||
comment="参考程度: low/mid/high"
|
||
)
|
||
# 裂变套数（默认3套）
|
||
fanout_count: Mapped[int] = mapped_column(
|
||
Integer, default=3, nullable=False,
|
||
comment="裂变套数（默认3套）"
|
||
)
|
||
# 状态机
|
||
status: Mapped[str] = mapped_column(
|
||
String(20), default="pending", nullable=False,
|
||
comment="状态: pending/generating/done/failed"
|
||
)
|
||
created_at: Mapped[datetime] = mapped_column(
|
||
DateTime, server_default=func.now(), nullable=False
|
||
)
|
||
|
||
__table_args__ = (
|
||
Index("idx_fission_tasks_workspace_id", "workspace_id"),
|
||
)
|
||
|
||
|
||
class FissionNote(Base):
|
||
"""裂变产出的单套完整笔记包（一次LLM出N套，每套落一行）。
|
||
|
||
对齐上线版 split.js handleContentSplit：每套含 标题/正文/标签/封面/imagePlan，
|
||
带评分+裂变维度+生图结果。北哥在独立展示页查看。
|
||
"""
|
||
__tablename__ = "fission_notes"
|
||
|
||
id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True)
|
||
fission_id: Mapped[int] = mapped_column(
|
||
BigInteger, ForeignKey("fission_tasks.id", ondelete="CASCADE"), nullable=False
|
||
)
|
||
workspace_id: Mapped[int] = mapped_column(
|
||
BigInteger, ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False
|
||
)
|
||
seq: Mapped[int] = mapped_column(
|
||
Integer, default=0, nullable=False, comment="第几套（0起）"
|
||
)
|
||
# 完整笔记包 JSON：title/content/tags/coverTitle/imagePlan/dimension/audience/scene/painPoint/keywords
|
||
note_json: Mapped[str | None] = mapped_column(
|
||
Text, comment="完整笔记包JSON"
|
||
)
|
||
# 生图结果 JSON：[{role,name,image_url,error}...]
|
||
images_json: Mapped[str | None] = mapped_column(
|
||
Text, comment="生图结果JSON"
|
||
)
|
||
score: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
|
||
passed: Mapped[bool] = mapped_column(
|
||
Integer, default=0, nullable=False, comment="是否过线(>=80)"
|
||
)
|
||
needs_optimization: Mapped[bool] = mapped_column(
|
||
Integer, default=0, nullable=False, comment="不达标降级草稿标记"
|
||
)
|
||
dimension: Mapped[str | None] = mapped_column(
|
||
String(64), comment="裂变维度: 换角度/换痛点/换人群"
|
||
)
|
||
status: Mapped[str] = mapped_column(
|
||
String(20), default="pending", nullable=False,
|
||
comment="状态: pending/scored/image_done/failed"
|
||
)
|
||
created_at: Mapped[datetime] = mapped_column(
|
||
DateTime, server_default=func.now(), nullable=False
|
||
)
|
||
|
||
__table_args__ = (
|
||
Index("idx_fission_notes_fission_id", "fission_id"),
|
||
Index("idx_fission_notes_workspace_id", "workspace_id"),
|
||
)
|