df1856d793
- 产品编辑入口统一走 ProductFormFull(卖点/风格/人群/品牌词全字段); 修复开任务页 <form> 套 <form> 致"编辑产品"报错、改不了、跳回首个产品 - dashboard 入口卡片对齐实际路由: 系统管理(/config) 与 工作配置(/settings) 分开; settings ?tab=products 直达改用挂载后读 URL, 消除 hydration mismatch - 新增用户管理(users API/admin service/改密页) + alembic 022/023/024 - 上线部署: Dockerfile / docker-compose.prod+https / nginx https / .env.example - A8 三套正交叙事(痛点/场景/成分背书) + beige 调色去AI化 + 飞轮 text_import 高权重信号 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
111 lines
4.2 KiB
Python
111 lines
4.2 KiB
Python
"""
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app/services/fission_service.py — 第11环裂变 service 入口（对齐上线版 split.js）
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裂变 = 1爆款 → 一次 LLM 出 N 套完整笔记包（N=1~5）。
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本文件只留 API 入口：
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- create_fission：建 FissionTask 后丢 run_fission_pipeline.delay，不再扇出 GenerationTask
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编排层（解析/评分/落库/生图）在 app/services/fission_pipeline.py（红线≤200行已拆）。
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"""
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import json
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import logging
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from sqlalchemy.orm import Session
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from app.core.response import raise_business
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from app.middleware.workspace_guard import CurrentUser
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from app.models.fission import FissionTask
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from app.models.task import GenerationTask
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from app.services.ai_engine.fission_prompt import valid_level
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from app.services.task_service import _check_user_has_key
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logger = logging.getLogger(__name__)
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MAX_FANOUT = 5 # 每用户并发上限5(红线)；裂变 N 套直出受同等约束
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def _source_copy_from_payload(payload) -> str:
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"""从候选文案 JSON 中提取可裂变的正文，避免把整段 JSON 当 prompt。"""
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if isinstance(payload, str):
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raw = payload.strip()
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if not raw:
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return ""
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try:
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parsed = json.loads(raw)
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except Exception:
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return raw
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return _source_copy_from_payload(parsed)
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if isinstance(payload, dict):
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parts: list[str] = []
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for key in ("title", "content", "body", "note", "text", "opening", "selling_points", "tags"):
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value = payload.get(key)
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if isinstance(value, str) and value.strip():
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parts.append(value.strip())
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elif isinstance(value, list):
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items = [str(item).strip() for item in value if str(item).strip()]
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if items:
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parts.append(" / ".join(items))
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if parts:
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return "\n".join(parts)
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return json.dumps(payload, ensure_ascii=False)
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if isinstance(payload, list):
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items = [_source_copy_from_payload(item) for item in payload]
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return "\n".join(item for item in items if item)
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return str(payload or "")
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def create_fission(
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db: Session, current_user: CurrentUser,
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source_task_id: int, reference_level: str, fanout_count: int,
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) -> tuple[int, list[int]]:
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"""
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从一个源任务建裂变任务，丢 Celery 一次出 N 套笔记包。
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返回 (fission_id, [])。子笔记落 FissionNote，不再扇出 GenerationTask，
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故第二个返回值恒为空列表（保留签名兼容旧调用方）。
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"""
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_check_user_has_key(db, current_user.user_id, current_user.workspace_id)
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level = valid_level(reference_level)
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n = max(1, min(fanout_count or 3, MAX_FANOUT))
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# 读源任务（取产品+主题+已选文案作为爆款源）
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src = db.query(GenerationTask).filter(
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GenerationTask.id == source_task_id,
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GenerationTask.workspace_id == current_user.workspace_id,
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).first()
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if not src:
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raise_business("裂变源任务不存在")
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source_note = {"title": src.theme or "", "content": _extract_source_copy(db, src)}
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# 建 fission_task 记录（带 source_task_id 供 pipeline 取产品/张数）
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ft = FissionTask(
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workspace_id=current_user.workspace_id,
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source_note=json.dumps(source_note, ensure_ascii=False),
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source_task_id=source_task_id,
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reference_level=level, fanout_count=n, status="generating",
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)
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db.add(ft); db.commit(); db.refresh(ft)
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# 丢 Celery：一次 LLM 出 N 套（不扇出 GenerationTask）
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from app.workers.tasks import run_fission_pipeline
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run_fission_pipeline.delay(ft.id, source_task_id)
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logger.info("fission created id=%s level=%s n=%s src_task=%s",
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ft.id, level, n, source_task_id)
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return ft.id, []
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def _extract_source_copy(db: Session, src: GenerationTask) -> str:
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"""取源任务已选/最高分文案当爆款正文；无则用主题兜底。"""
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from app.models.task import TextCandidate
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c = (db.query(TextCandidate)
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.filter(TextCandidate.task_id == src.id)
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.order_by(TextCandidate.is_selected.desc(), TextCandidate.id.asc())
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.first())
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if c and c.content:
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return _source_copy_from_payload(c.content)
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return src.theme or ""
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