本次 squash merge 将 codex-story-first-image-intent 的整体改动合入 development,核心内容包括: 1. 后端数据与迁移:新增 stories、story_versions、story_image_intents、chapter_cover_intents、assets 等模型与 Alembic 迁移,建立 story-first、markdown-first、asset-first 的主数据链路。 2. 生成与任务链:引入 StoryBuilderOrchestrator、ChapterComposerOrchestrator、story_image_tasks、chapter_cover_tasks,图片生成从正文占位符改为结构化 intent -> asset -> markdown 回填。 3. 并发与一致性:为 story/chapter intent 增加 claim_token、claimed_at、attempt_count,采用数据库原子 claim 为主、Redis 锁为辅,避免重复生成、锁误删和 processing 卡死。 4. Memoir 读写路径:章节 canonical_markdown 成为正文真源,列表/详情接口补齐 markdown、cover_asset、word_count 等字段,PDF 与 asset 解析链路同步升级。 5. Memory / Retrieval:扩展 transcript ingest、chunking、evidence 检索与 story 聚合基础设施,为后续 story-first RAG 与多 agent 编排提供底座。 6. App 端体验:章节页继续走 MarkdownRenderer 阅读链,同时吸收 fix3-19 的跨平台 UI glitch 修复;更新对话页、首页、文案资源与章节列表映射逻辑。 7. 测试与文档:补充 asset resolver、story image task、章节封面派发、markdown 映射等回归测试,并加入图片占位符退役设计文档。
87 lines
3.6 KiB
Python
87 lines
3.6 KiB
Python
import unittest
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from app.features.memoir.memoir_images.parser import (
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build_initial_image_assets,
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parse_image_placeholders,
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parse_narrative_json,
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parse_narrative_to_sections,
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)
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class MemoirImageParserTest(unittest.TestCase):
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def test_parse_image_placeholders_preserves_order_and_offsets(self):
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content = (
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"那条路我一直记得。\n\n"
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"{{{{IMAGE:南方小镇的青石板路}}}}\n\n"
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"奶奶总坐在门口。\n\n"
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"{{{{IMAGE:奶奶坐在院子里的藤椅上}}}}"
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)
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items = parse_image_placeholders(content, max_images=3)
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self.assertEqual([item["index"] for item in items], [0, 1])
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self.assertEqual(items[0]["description"], "南方小镇的青石板路")
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self.assertEqual(
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items[1]["placeholder"], "{{{{IMAGE:奶奶坐在院子里的藤椅上}}}}"
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)
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self.assertLess(items[0]["start_offset"], items[1]["start_offset"])
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def test_build_initial_image_assets_marks_every_item_pending(self):
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placeholders = [
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{
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"index": 0,
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"description": "南方小镇的青石板路",
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"placeholder": "{{{{IMAGE:南方小镇的青石板路}}}}",
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"start_offset": 10,
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}
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]
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assets = build_initial_image_assets(
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placeholders=placeholders,
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provider="liblib",
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style="watercolor",
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size="1024x1024",
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now_iso="2026-03-10T10:00:00Z",
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)
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self.assertEqual(assets[0]["status"], "pending")
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self.assertEqual(assets[0]["provider"], "liblib")
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self.assertEqual(assets[0]["url"], None)
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def test_parse_image_placeholders_accepts_double_brace_variant(self):
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content = "开头。\n\n{{IMAGE:1938年初的上海弄堂口,冬日萧瑟}}\n\n结尾。"
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items = parse_image_placeholders(content, max_images=2)
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self.assertEqual(len(items), 1)
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self.assertEqual(
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items[0]["placeholder"], "{{IMAGE:1938年初的上海弄堂口,冬日萧瑟}}"
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)
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self.assertEqual(items[0]["description"], "1938年初的上海弄堂口,冬日萧瑟")
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def test_parse_narrative_json_ignores_image_description(self):
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raw = '{"paragraphs": [{"content": "那年春天。", "image_description": "南方小镇的青石板路"}, {"content": "奶奶坐在藤椅上。", "image_description": "奶奶的藤椅"}]}'
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segments = parse_narrative_json(raw)
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self.assertEqual(len(segments), 2)
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self.assertEqual(segments[0]["content"], "那年春天。")
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self.assertIsNone(segments[0]["placeholder_info"])
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self.assertEqual(segments[1]["content"], "奶奶坐在藤椅上。")
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self.assertIsNone(segments[1]["placeholder_info"])
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def test_parse_narrative_to_sections_json_then_plain_strips_placeholders(self):
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json_raw = (
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'{"paragraphs": [{"content": "段落一", "image_description": "图一"}]}'
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)
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segments = parse_narrative_to_sections(json_raw)
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self.assertEqual(len(segments), 1)
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self.assertEqual(segments[0]["content"], "段落一")
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self.assertIsNone(segments[0]["placeholder_info"])
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placeholder_raw = "正文。\n\n{{{{IMAGE:描述}}}}\n\n结尾。"
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segments2 = parse_narrative_to_sections(placeholder_raw)
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self.assertEqual(len(segments2), 2)
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self.assertEqual(segments2[0]["content"], "正文。")
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self.assertEqual(segments2[1]["content"], "结尾。")
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self.assertIsNone(segments2[0]["placeholder_info"])
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self.assertIsNone(segments2[1]["placeholder_info"])
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