72b3c81146
写→审链新增第五审「人物塑造」（灵感③/D2）：advisory 单维——仅建议、不阻断
验收（不进 conflicts、不碰 assert_conflicts_resolved、不入 REVIEW_RESERVED_NAMES）；
只做人物塑造、不做氛围。
- SPEC characterization_spec（analyst，reads=("characters",)，writes=()）+
prompts/characterization.md（只读、显式忽略文本长度与辞藻华丽度、引用逐字片段+置信度）
- schema CharacterizationReview{issues[...]}（全字段默认值守解析韧性）+ 注册 catalog
- 计数三处 22→23 + regen prompt_hashes.json（仅加一条）
- DB chapter_reviews 加 characterization JSONB nullable 列（迁移 f6a7b8c9d0e1）
- 接线：graph REVIEW_SPECS 追加 · chain ReviewRecordRepo · collect(extract/record) ·
review_repo(Protocol/Sql/_to_view/ReviewView) · sse(event/factory/section) · normalize 自动纳入
- 契约 ReviewHistoryItem 加 characterization（gen:api 已重生成）
- 前端 sse/history/useReviewStream + CharacterizationPanel（只展示无裁决 UI、置信度降序+低置信折叠）+ ReviewReport 挂面板
- 测试 test_characterization_does_not_block_accept + 计数/golden + collect/normalize + 前端 reducer/normalize/parse
守不变量 #2/#3/#9；依赖 ⑧（motive/appearance 作客观锚点）。
72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
"""`SCHEMA_CATALOG`：name → output schema 的唯一真相源（Prompt 外置方案A · 步4）。
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Pydantic 类型承载结构化解析与 `isinstance` 校验，无法从文本推导、无法运行时安全构造，
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必须留 Python。`SPECS[name].output_schema` 一律从这里派生（单向派生，避免双真相）。
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`input_schema` 全 23 个恒为 None（入参为序列化文本），本波不建入参槽（YAGNI）。
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`refiner` 是唯一纯文本 writer：`None` 是合法值（无结构化 schema）。
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"""
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from __future__ import annotations
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from typing import Final
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from pydantic import BaseModel
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from .schemas import (
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BlurbResult,
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BookTeardownResult,
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CharacterGenResult,
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CharacterizationReview,
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ContinuationResult,
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ContinuityReview,
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DeAiResult,
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DetailedOutlineResult,
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ForeshadowReview,
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GlossaryResult,
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GoldenFingerResult,
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IdeaListResult,
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NameListResult,
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OpeningResult,
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OutlineResult,
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PaceReview,
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PolishResult,
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ProjectPlanResult,
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StyleDriftReview,
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StyleFingerprintResult,
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TitleListResult,
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WorldGenResult,
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)
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# name → output_schema（input 全 None，本波不建入参槽——YAGNI）
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SCHEMA_CATALOG: Final[dict[str, type[BaseModel] | None]] = {
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"continuity": ContinuityReview,
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"outliner": OutlineResult,
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"foreshadow": ForeshadowReview,
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"pace": PaceReview,
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"characterization": CharacterizationReview,
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"style_extract": StyleFingerprintResult,
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"style": StyleDriftReview,
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"refiner": None, # 唯一纯文本 writer，None 是合法值
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"worldbuilder": WorldGenResult,
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"character-gen": CharacterGenResult,
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"brainstorm": IdeaListResult,
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"book-title": TitleListResult,
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"blurb": BlurbResult,
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"name": NameListResult,
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"golden-finger": GoldenFingerResult,
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"glossary": GlossaryResult,
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"opening": OpeningResult,
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"fine-outline": DetailedOutlineResult,
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"continue": ContinuationResult,
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"expand": PolishResult,
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"de-ai": DeAiResult,
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"teardown": BookTeardownResult,
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"project-plan": ProjectPlanResult,
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}
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def output_schema_for(name: str) -> type[BaseModel] | None:
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"""name → output schema（精确字符串相等命中；未知 name → KeyError）。"""
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return SCHEMA_CATALOG[name]
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