Files
writer-work-flow/packages/agents/tests/fixtures/prompt_hashes.json
Yaojia Wang acde715515 feat(character): appearance/motive 全栈穿线 + motive/traits 口径重切
打通 appearance/motive 从生成→schema→契约→落库→前端整条穿线
(DB 列早在初始迁移、此前一直 NULL,无新迁移),并原子重切人物
内驱口径。

- @llm: CharacterCard/character-gen.md 加 appearance/motive(给默认值守
  解析韧性),重切——动机唯一落 motive、traits 只留核心/表层/阴影三层、
  arc 引用 motive;regen prompt_hashes.json 金标准。
- @backend: CharacterCardView + CharacterWriteRepo/SqlCharacterWriteRepo
  (create + update backfill 分支)+ CharacterWriteFields + 路由双向形变
  与 _existing_characters 带上两字段。
- @frontend: pnpm gen:api 重生成 TS 客户端;CharacterCardItem 展示/编辑
  两字段。
- 测试: schema 默认值/解析、动机不双写重切回归、card_to_view 双向、
  ingest 透传、list 暴露、SqlCharacterWriteRepo create/backfill 真 pg 集成。
2026-07-06 14:36:11 +02:00

24 lines
1.7 KiB
JSON

{
"blurb": "2adba04a16707d7d9dfbb84d0a5a302ea8e946104dd8a617ff7801ed86f41605",
"book-title": "aa53ccf22da1d4e555c8168fc23f2f3547cc6f59e56e5df57540b7a946755e39",
"brainstorm": "f670dc77e3d9bd4a1df2b8cb29b51edb8b229d214148907d4b05519492364ada",
"character-gen": "f65e2ec3158be378a6cd40c23035b326dc9f6b297b6135007a93fceedf575cfd",
"continue": "f1ce02be3b186fc966c89cf0d54ea57a400e91d435ea91f5722cb17e43d11763",
"continuity": "1bdf9799bad9076e54de2023433ec7da7b559509d986392a0563dc1ee20cf4a1",
"de-ai": "9ce3020cdd4b223cc4d13c289babd2811bbfece4b392711dcba4fd0301c87249",
"expand": "74a5d71c4ffc11b78bf80c7ab3fc3eebfc1192ffff2b0bfa9957ec2c33d9d05e",
"fine-outline": "0ae0b71f4144e82ffa2a7a0059505525857f7d9797e94ced25da3129355a46ed",
"foreshadow": "405696461fef445e4609227c40df6c4812737735edea7e1966ee84afe7635645",
"glossary": "54e95d21d10b9209287c10517134f485ca5ce4a3ef08291aac954dcf492d73d0",
"golden-finger": "416e8591d99ea1296db550bc428012aa937eed47eea03ef435e92c6843005e21",
"name": "ee759bc967773e3300813f250f233c872fd3a4f0cb00086509ffc3552d67700b",
"opening": "c3b442a26dddbfac0a3c1b01ab5b726b34b656ebd640c19abd25b900a27093b5",
"outliner": "3086ba81fe8028687bf079db2c2fb227ba5a162b7fc09210914e6f4ebd9c0d2e",
"pace": "c6a023cb93fde4879a0fb93cd28e0227694a4cf867e64e768319ee3135d82746",
"refiner": "65a4baa298bedce4592829c02d6a16c15a19ef6fdbb2098278f9decc8ffeb813",
"style": "3a7b2c078b62e4e08f62af91ecfae8d9a27adc598ca60f59927c3bcd136393c5",
"style_extract": "998c30ea0d0eab3936e1d6b319e832645eefaa7f7dd4a1c86d5c1ec9467e8b8c",
"teardown": "4fb7335c3e79e19ef276f199011a5de888330fc7f91a53dd483a6531b94b973e",
"worldbuilder": "3bf578c2df3018e0f969949c760bb8d214639df4aa17aa904d3ce803c6ddcc3e"
}