52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
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"""章节封面是否可入队（与 Celery 任务共享，避免循环 import）。"""
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from __future__ import annotations
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from typing import Any
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from app.features.memoir.memoir_images.schema import (
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IMAGE_STATUS_FAILED,
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IMAGE_STATUS_PENDING,
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)
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def primary_chapter_memoir_image(chapter: Any) -> Any | None:
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"""章节级 MemoirImage（封面槽位）：按 order_index 最小取第一条。"""
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imgs = sorted(
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getattr(chapter, "images", None) or [],
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key=lambda m: getattr(m, "order_index", 0),
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)
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return imgs[0] if imgs else None
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def chapter_needs_cover_enqueue(chapter) -> bool:
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"""尚无 cover_asset 且章节有正文时，可派发 generate_chapter_cover。"""
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if not chapter:
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return False
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if getattr(chapter, "cover_asset_id", None):
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return False
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md = (getattr(chapter, "canonical_markdown", None) or "").strip()
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return bool(md)
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def chapter_has_cover_to_generate(chapter) -> bool:
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"""章节是否有待生成的封面图（任一条 chapter 级 MemoirImage 为 pending/failed）。"""
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for m in getattr(chapter, "images", None) or []:
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status = (getattr(m, "status") or "").strip()
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if status in (IMAGE_STATUS_PENDING, IMAGE_STATUS_FAILED):
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return True
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return False
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def cover_memoir_image_pending_or_failed(chapter: Any) -> Any | None:
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"""用于补图任务：按 order_index 找到第一条 pending/failed 的章节配图行。"""
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images = sorted(
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getattr(chapter, "images", None) or [],
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key=lambda m: getattr(m, "order_index", 0),
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)
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for m in images:
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st = (getattr(m, "status") or "").strip()
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if st in (IMAGE_STATUS_PENDING, IMAGE_STATUS_FAILED):
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return m
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return None
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