feat: M1 — 立项→写章草稿(SSE)→自动保存;连一家 provider

- 薄自建 LLM 网关:OpenAI 兼容适配器(DeepSeek) + instructor 结构化输出 + usage_ledger 记账 + 档位路由
- 记忆服务 assemble:确定性选择(显式+主角+近况) + 渲染卡 + 缓存断点(中性文本)
- LangGraph 写章节点 + Postgres checkpointer + SSE 归一(token/done/error)
- API:立项 + 写章 draft(SSE) + PUT 自动保存 + 提供商凭据(Fernet 加密/测试连接)
- 前端:AppShell + 作品库 + 5 步立项向导 + 写作工作台(流式打字机+自动保存) + 设置页
- M1 E2E:真实 DB + mock 网关零 token 走通闭环
This commit is contained in:
Yaojia Wang
2026-06-18 11:38:28 +02:00
parent d3dc620a71
commit b523b4fd21
70 changed files with 6642 additions and 0 deletions

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"""章节草稿/验收 Repository 协议 + SQLAlchemy async 实现ARCH §3.3 / §5.5 / §7.2)。
- 草稿:自动保存把流式产出的文本落到 `chapters`status='draft')。幂等:同一
(project_id, chapter_no) 的草稿重复保存覆盖同一行、版次固定为草稿版次。
- 验收晋升M2/T2.3`promote_to_accepted` 计算该章 max(version)+1插入 status='accepted'
的**新行**草稿行保留符合「多版本行」§3.3)。真正「何时晋升 + 从终稿提炼 digest」
在 T2.4 验收事务里组合调用——本 repo 只提供确定性的版次计算 + 插入能力。
"""
from __future__ import annotations
import uuid
from dataclasses import dataclass
from typing import Protocol
from sqlalchemy import func, select
from sqlalchemy.ext.asyncio import AsyncSession
from ww_db.models import Chapter
# 草稿固定版次accepted 版本提升属 M2不在此处递增
DRAFT_STATUS = "draft"
DRAFT_VERSION = 1
ACCEPTED_STATUS = "accepted"
@dataclass(frozen=True)
class ChapterDraftView:
"""只读章节草稿快照snake_case"""
project_id: uuid.UUID
chapter_no: int
volume: int
content: str
status: str
version: int
@dataclass(frozen=True)
class ChapterView:
"""只读章节版本快照(任意 status/version验收晋升返回此形"""
project_id: uuid.UUID
chapter_no: int
volume: int
content: str
status: str
version: int
class ChapterRepo(Protocol):
"""章节草稿读写 + 验收晋升接口(按 project_id 隔离)。"""
async def save_draft(
self, project_id: uuid.UUID, chapter_no: int, *, text: str, volume: int = 1
) -> ChapterDraftView: ...
async def get_draft(
self, project_id: uuid.UUID, chapter_no: int
) -> ChapterDraftView | None: ...
async def max_version(self, project_id: uuid.UUID, chapter_no: int) -> int:
"""该章现有最大 version无任何行则 0——验收取 max+1。"""
...
async def promote_to_accepted(
self, project_id: uuid.UUID, chapter_no: int, *, content: str, volume: int = 1
) -> ChapterView:
"""从终稿晋升:插入 status='accepted'、version=max+1 的新行(草稿行保留)。"""
...
async def latest_accepted(self, project_id: uuid.UUID, chapter_no: int) -> ChapterView | None:
"""该章最新(最高 version的 accepted 版本,无则 None。"""
...
def _to_view(row: Chapter) -> ChapterDraftView:
return ChapterDraftView(
project_id=row.project_id,
chapter_no=row.chapter_no,
volume=row.volume,
content=row.content or "",
status=row.status,
version=row.version,
)
def _to_chapter_view(row: Chapter) -> ChapterView:
return ChapterView(
project_id=row.project_id,
chapter_no=row.chapter_no,
volume=row.volume,
content=row.content or "",
status=row.status,
version=row.version,
)
class SqlChapterRepo:
"""SQLAlchemy 实现:草稿幂等 upsert显式 read-modify-write版次固定"""
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def _find_draft(self, project_id: uuid.UUID, chapter_no: int) -> Chapter | None:
return (
await self._s.execute(
select(Chapter).where(
Chapter.project_id == project_id,
Chapter.chapter_no == chapter_no,
Chapter.version == DRAFT_VERSION,
)
)
).scalar_one_or_none()
async def save_draft(
self, project_id: uuid.UUID, chapter_no: int, *, text: str, volume: int = 1
) -> ChapterDraftView:
# 唯一约束 (project_id, chapter_no, version);草稿版次固定 → 覆盖同一行,幂等。
existing = await self._find_draft(project_id, chapter_no)
if existing is None:
row = Chapter(
project_id=project_id,
volume=volume,
chapter_no=chapter_no,
content=text,
status=DRAFT_STATUS,
version=DRAFT_VERSION,
)
self._s.add(row)
await self._s.commit()
await self._s.refresh(row)
return _to_view(row)
existing.content = text
existing.status = DRAFT_STATUS
await self._s.commit()
await self._s.refresh(existing)
return _to_view(existing)
async def get_draft(self, project_id: uuid.UUID, chapter_no: int) -> ChapterDraftView | None:
row = await self._find_draft(project_id, chapter_no)
if row is None:
return None
return _to_view(row)
async def max_version(self, project_id: uuid.UUID, chapter_no: int) -> int:
result = await self._s.execute(
select(func.max(Chapter.version)).where(
Chapter.project_id == project_id,
Chapter.chapter_no == chapter_no,
)
)
return result.scalar_one_or_none() or 0
async def promote_to_accepted(
self, project_id: uuid.UUID, chapter_no: int, *, content: str, volume: int = 1
) -> ChapterView:
# 取 max+1 晋升新 accepted 行草稿行保留多版本行§3.3)。
# 唯一约束 (project_id, chapter_no, version) 由 DB 强制。
# **只 flush 不 commit**验收事务T2.4)把晋升+digest+裁决留痕作为单事务提交。
next_version = (await self.max_version(project_id, chapter_no)) + 1
row = Chapter(
project_id=project_id,
volume=volume,
chapter_no=chapter_no,
content=content,
status=ACCEPTED_STATUS,
version=next_version,
)
self._s.add(row)
await self._s.flush()
await self._s.refresh(row)
return _to_chapter_view(row)
async def latest_accepted(self, project_id: uuid.UUID, chapter_no: int) -> ChapterView | None:
row = (
await self._s.execute(
select(Chapter)
.where(
Chapter.project_id == project_id,
Chapter.chapter_no == chapter_no,
Chapter.status == ACCEPTED_STATUS,
)
.order_by(Chapter.version.desc())
.limit(1)
)
).scalar_one_or_none()
if row is None:
return None
return _to_chapter_view(row)

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"""项目立项Repository 协议 + SQLAlchemy async 实现ARCH §3.5 / §7.2)。
记忆/记账依赖这里的 **Protocol**,单测注入内存 fake运行时注入 SQLAlchemy 实现。
统一按 owner_id 过滤(单用户原型 stub多租户化时由认证主体替换
视图是与 ORM 解耦的只读 Pydantic 快照——路由不碰 SQLAlchemy 行。
"""
from __future__ import annotations
import uuid
from dataclasses import dataclass, field
from typing import Any, Protocol
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from ww_db.models import Project
@dataclass(frozen=True)
class ProjectView:
"""只读项目快照snake_case"""
id: uuid.UUID
title: str
genre: str | None = None
logline: str | None = None
premise: str | None = None
theme: str | None = None
selling_points: list[Any] = field(default_factory=list)
structure: str | None = None
@dataclass(frozen=True)
class ProjectCreate:
"""立项向导写入字段owner_id 由服务层补 stub"""
title: str
genre: str | None = None
logline: str | None = None
premise: str | None = None
theme: str | None = None
selling_points: list[Any] = field(default_factory=list)
structure: str | None = None
class ProjectRepo(Protocol):
"""项目读写接口(按 owner_id 隔离)。"""
async def create(self, owner_id: uuid.UUID, data: ProjectCreate) -> ProjectView: ...
async def list_for_owner(self, owner_id: uuid.UUID) -> list[ProjectView]: ...
async def get(self, owner_id: uuid.UUID, project_id: uuid.UUID) -> ProjectView | None: ...
def _to_view(row: Project) -> ProjectView:
return ProjectView(
id=row.id,
title=row.title,
genre=row.genre,
logline=row.logline,
premise=row.premise,
theme=row.theme,
selling_points=list(row.selling_points or []),
structure=row.structure,
)
class SqlProjectRepo:
"""SQLAlchemy 实现:写 `projects`,按 owner_id 过滤读取。"""
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def create(self, owner_id: uuid.UUID, data: ProjectCreate) -> ProjectView:
row = Project(
owner_id=owner_id,
title=data.title,
genre=data.genre,
logline=data.logline,
premise=data.premise,
theme=data.theme,
selling_points=list(data.selling_points),
structure=data.structure,
)
self._s.add(row)
await self._s.commit()
await self._s.refresh(row)
return _to_view(row)
async def list_for_owner(self, owner_id: uuid.UUID) -> list[ProjectView]:
rows = (
await self._s.execute(
select(Project).where(Project.owner_id == owner_id).order_by(Project.created_at)
)
).scalars()
return [_to_view(r) for r in rows]
async def get(self, owner_id: uuid.UUID, project_id: uuid.UUID) -> ProjectView | None:
row = (
await self._s.execute(
select(Project).where(Project.owner_id == owner_id, Project.id == project_id)
)
).scalar_one_or_none()
if row is None:
return None
return _to_view(row)

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"""领域视图 + Repository 协议ARCH §3.5)。
记忆服务依赖这些 **Protocol** 而非具体实现(依赖倒置):单测注入内存 fake
运行时注入 SQLAlchemy 实现(见 ww_core.memory.sql_repositories
视图是与 ORM 解耦的只读 Pydantic 快照——记忆逻辑不碰 SQLAlchemy 行,
保证确定性选择可纯函数化、可单测。所有读取统一按 project_id 过滤(数据隔离)。
"""
from __future__ import annotations
import uuid
from dataclasses import dataclass
from typing import Any, Protocol
from pydantic import BaseModel, Field
# ---- 只读视图snake_casefrozen 防止意外突变)----
class OutlineView(BaseModel):
model_config = {"frozen": True}
volume: int
chapter_no: int
beats: dict[str, Any] = Field(default_factory=dict)
foreshadow_windows: list[dict[str, Any]] = Field(default_factory=list)
class CharacterView(BaseModel):
model_config = {"frozen": True}
name: str
role: str | None = None
traits: dict[str, Any] | None = None
appearance: str | None = None
motive: str | None = None
backstory: str | None = None
arc: dict[str, Any] | None = None
speech_tics: dict[str, Any] | None = None
tags: list[Any] = Field(default_factory=list)
relations: list[Any] = Field(default_factory=list)
first_chapter: int | None = None
latest_state: str | None = None
class WorldEntityView(BaseModel):
model_config = {"frozen": True}
type: str
name: str
rules: dict[str, Any] | None = None
first_chapter: int | None = None
latest_state: str | None = None
class DigestView(BaseModel):
model_config = {"frozen": True}
chapter_no: int
facts: dict[str, Any] = Field(default_factory=dict)
class ForeshadowView(BaseModel):
model_config = {"frozen": True}
code: str
title: str
status: str
planted_at: int | None = None
expected_close_from: int | None = None
expected_close_to: int | None = None
content: str | None = None
class StyleView(BaseModel):
model_config = {"frozen": True}
dimensions: dict[str, Any] = Field(default_factory=dict)
class RuleView(BaseModel):
model_config = {"frozen": True}
level: str
content: str
# ---- Repository 协议async统一按 project_id 过滤)----
class OutlineRepo(Protocol):
async def get(self, project_id: uuid.UUID, chapter_no: int) -> OutlineView | None: ...
class CharacterRepo(Protocol):
async def list_for_project(self, project_id: uuid.UUID) -> list[CharacterView]: ...
class WorldEntityRepo(Protocol):
async def list_for_project(self, project_id: uuid.UUID) -> list[WorldEntityView]: ...
class DigestRepo(Protocol):
async def recent(self, project_id: uuid.UUID, k: int) -> list[DigestView]: ...
class ForeshadowRepo(Protocol):
async def list_for_codes(
self, project_id: uuid.UUID, codes: list[str]
) -> list[ForeshadowView]: ...
class StyleRepo(Protocol):
async def latest(self, project_id: uuid.UUID) -> StyleView | None: ...
class RulesRepo(Protocol):
async def all_for_project(self, project_id: uuid.UUID) -> list[RuleView]: ...
@dataclass(frozen=True)
class MemoryRepos:
"""记忆服务所需的 7 个 repo 的依赖捆绑(注入点)。"""
outline: OutlineRepo
character: CharacterRepo
world_entity: WorldEntityRepo
digest: DigestRepo
foreshadow: ForeshadowRepo
style: StyleRepo
rules: RulesRepo

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"""记忆服务C5——确定性选择 + 卡片渲染 + prompt 组装ARCH §3.4/§5.3)。"""
from __future__ import annotations
from .assemble import assemble, merge_rules
from .render import render_cards
from .selection import MAIN_ROLES, RECENT_DIGEST_COUNT, select_relevant_entities
from .types import (
AssembledContext,
EntityKind,
SelectedEntity,
SelectionReason,
SelectionTrace,
)
__all__ = [
"MAIN_ROLES",
"RECENT_DIGEST_COUNT",
"AssembledContext",
"EntityKind",
"SelectedEntity",
"SelectionReason",
"SelectionTrace",
"assemble",
"merge_rules",
"render_cards",
"select_relevant_entities",
]

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"""记忆注入与 prompt 组装ARCH §5.3)。
assemble = 确定性选择 → 渲染卡片 → 序列化为 stable_core(缓存前缀) + volatile(断点后)。
稳定内核只放真正定型、无 latest_state 的内容latest_state/本章大纲等易变内容入 volatile。
全程排序、无时间戳/UUID保证缓存前缀字节稳定不变量 #9
"""
from __future__ import annotations
import json
import uuid
from typing import Any
from ww_core.domain.repositories import (
CharacterView,
DigestView,
ForeshadowView,
MemoryRepos,
OutlineView,
RuleView,
StyleView,
WorldEntityView,
)
from .render import render_cards
from .selection import MAIN_ROLES, RECENT_DIGEST_COUNT, select_relevant_entities
from .types import AssembledContext
# 四级规则合并优先级global → genre → style → project越具体越靠后/越优先)
_LEVEL_RANK: dict[str, int] = {"global": 0, "genre": 1, "style": 2, "project": 3}
def _ser(value: Any) -> str:
return json.dumps(value, ensure_ascii=False, sort_keys=True)
def merge_rules(rules: list[RuleView]) -> list[RuleView]:
"""按 global→genre→style→project 排序(同级按内容排序,确定性)。"""
return sorted(rules, key=lambda r: (_LEVEL_RANK.get(r.level, 99), r.level, r.content))
def _section(title: str, body: str) -> str | None:
return f"## {title}\n{body}" if body else None
def _build_stable(
world_entities: list[WorldEntityView],
main_characters: list[CharacterView],
style: StyleView | None,
rules: list[RuleView],
) -> str:
world_lines = [
f"【世界规则】{w.name}{_ser(w.rules)}"
for w in sorted(world_entities, key=lambda w: w.name)
if w.rules
]
# 定型主角:只放稳定字段,绝不含 latest_state易变
char_lines = [
f"【主角】{c.name}|定位:{c.role or '未定'}"
+ (f"|动机:{c.motive}" if c.motive else "")
+ (f"|背景:{c.backstory}" if c.backstory else "")
for c in sorted(main_characters, key=lambda c: c.name)
]
rule_lines = [f"[{r.level}] {r.content}" for r in merge_rules(rules)]
sections = [
_section("世界观硬规则", "\n".join(world_lines)),
_section("定型主角", "\n".join(char_lines)),
_section("文风指纹", _ser(style.dimensions) if style else ""),
_section("规则", "\n".join(rule_lines)),
]
return "\n\n".join(s for s in sections if s)
def _build_volatile(
cards: str,
foreshadows: list[ForeshadowView],
digests: list[DigestView],
beats: dict[str, Any],
) -> str:
fore_lines = [
f"【伏笔】{f.code} {f.title} [{f.status}]"
for f in sorted(foreshadows, key=lambda f: f.code)
]
digest_lines = [
f"{d.chapter_no}章:{_ser(d.facts)}" for d in sorted(digests, key=lambda d: d.chapter_no)
]
sections = [
_section("本章注入卡片", cards),
_section("相关伏笔窗口", "\n".join(fore_lines)),
_section("近况摘要", "\n".join(digest_lines)),
_section("本章节拍", _ser(beats) if beats else ""),
]
return "\n\n".join(s for s in sections if s)
async def assemble(
repos: MemoryRepos,
project_id: uuid.UUID,
chapter_no: int,
recent_k: int = RECENT_DIGEST_COUNT,
) -> AssembledContext:
"""组装本章 prompt 上下文(确定性、可缓存)。"""
outline = await repos.outline.get(project_id, chapter_no) or OutlineView(
volume=0, chapter_no=chapter_no
)
characters = await repos.character.list_for_project(project_id)
world_entities = await repos.world_entity.list_for_project(project_id)
recent_digests = await repos.digest.recent(project_id, recent_k)
selection = select_relevant_entities(
outline=outline,
characters=characters,
world_entities=world_entities,
recent_digests=recent_digests,
)
codes = [str(w["code"]) for w in outline.foreshadow_windows if w.get("code")]
foreshadows = await repos.foreshadow.list_for_codes(project_id, codes)
style = await repos.style.latest(project_id)
rules = await repos.rules.all_for_project(project_id)
main_characters = [c for c in characters if (c.role or "") in MAIN_ROLES]
stable_core = _build_stable(world_entities, main_characters, style, rules)
cards = render_cards(selection, characters, world_entities)
volatile = _build_volatile(cards, foreshadows, recent_digests, outline.beats)
return AssembledContext(stable_core=stable_core, volatile=volatile, selection=selection)

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"""把选中实体渲染成「角色/设定卡」文本块ARCH §3.4 渲染为卡片)。
卡片含 latest_state易变态——故渲染产物归入 volatile不进缓存前缀。
确定性:按 SelectionTrace 既定顺序渲染;字段缺省则略过该行。
"""
from __future__ import annotations
import json
from typing import Any
from ww_core.domain.repositories import CharacterView, WorldEntityView
from .types import SelectionTrace
def _serialize(value: Any) -> str:
return json.dumps(value, ensure_ascii=False, sort_keys=True)
def _line(label: str, value: str | None) -> str | None:
if value is None or value == "":
return None
return f"- {label}{value}"
def _character_card(c: CharacterView) -> str:
head = f"【角色】{c.name}|定位:{c.role or '未定'}"
lines = [
_line("外貌", c.appearance),
_line("动机", c.motive),
_line("说话习惯", _serialize(c.speech_tics) if c.speech_tics else None),
_line("当前状态", c.latest_state),
]
return "\n".join([head, *[ln for ln in lines if ln]])
def _world_card(w: WorldEntityView) -> str:
head = f"【设定·{w.type}{w.name}"
lines = [
_line("规则", _serialize(w.rules) if w.rules else None),
_line("当前状态", w.latest_state),
]
return "\n".join([head, *[ln for ln in lines if ln]])
def render_cards(
selection: SelectionTrace,
characters: list[CharacterView],
world_entities: list[WorldEntityView],
) -> str:
"""按选择顺序渲染卡片;找不到底层行的选中项跳过。"""
char_by_name = {c.name: c for c in characters}
world_by_name = {w.name: w for w in world_entities}
cards: list[str] = []
for e in sorted(selection.selected, key=lambda e: (e.kind, e.name)):
if e.kind == "character" and e.name in char_by_name:
cards.append(_character_card(char_by_name[e.name]))
elif e.kind == "world_entity" and e.name in world_by_name:
cards.append(_world_card(world_by_name[e.name]))
return "\n\n".join(cards)

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"""确定性记忆选择ARCH §3.4)——无向量,纯函数、可单测、可调试。
选择来源(并集去重):①显式引用(beats 点名) ②主角常驻 ③近况实体(近 N 章摘要)
④命中本章伏笔窗口。pg_trgm 按名匹配兜底属 P-later此处不做。
"""
from __future__ import annotations
from typing import Any
from ww_core.domain.repositories import CharacterView, DigestView, OutlineView, WorldEntityView
from .types import EntityKind, SelectedEntity, SelectionReason, SelectionTrace
# 视为常驻主角的 role 取值
MAIN_ROLES: frozenset[str] = frozenset({"主角", "核心", "protagonist", "lead"})
# 近况实体回看的章数ARCH §3.4 默认 35
RECENT_DIGEST_COUNT = 5
# 选择结果排序时的 kind 次序
_KIND_RANK: dict[EntityKind, int] = {"character": 0, "world_entity": 1}
_REASON_RANK: dict[SelectionReason, int] = {
"explicit_beat": 0,
"main_character": 1,
"recent_digest": 2,
"foreshadow_window": 3,
}
def _flatten_strings(obj: Any) -> list[str]:
"""递归收集任意 JSON 结构里的字符串叶子(确定性、用于按名匹配)。"""
if isinstance(obj, str):
return [obj]
if isinstance(obj, dict):
out: list[str] = []
for key in sorted(obj):
out.extend(_flatten_strings(obj[key]))
return out
if isinstance(obj, (list, tuple)):
out = []
for item in obj:
out.extend(_flatten_strings(item))
return out
return []
def _explicit_names(beats: dict[str, Any]) -> tuple[set[str], str]:
"""返回 (显式列出的实体名集合, beats 扁平文本) 供按名匹配。"""
listed = {str(n) for n in beats.get("entities", []) if isinstance(n, str)}
text = "\n".join(_flatten_strings({k: v for k, v in beats.items() if k != "entities"}))
return listed, text
def _digest_names(digests: list[DigestView]) -> tuple[set[str], str]:
listed: set[str] = set()
texts: list[str] = []
for d in digests:
listed |= {str(n) for n in d.facts.get("entities", []) if isinstance(n, str)}
texts.extend(_flatten_strings({k: v for k, v in d.facts.items() if k != "entities"}))
return listed, "\n".join(texts)
def _window_entity_names(outline: OutlineView) -> set[str]:
names: set[str] = set()
for win in outline.foreshadow_windows:
for n in win.get("entities", []):
if isinstance(n, str):
names.add(n)
return names
def _matches(name: str, listed: set[str], text: str) -> bool:
return name in listed or (name in text)
def select_relevant_entities(
*,
outline: OutlineView,
characters: list[CharacterView],
world_entities: list[WorldEntityView],
recent_digests: list[DigestView],
) -> SelectionTrace:
"""确定性并集选择 → SelectionTrace每实体带去重、排序的入选理由"""
beat_listed, beat_text = _explicit_names(outline.beats)
digest_listed, digest_text = _digest_names(recent_digests)
window_names = _window_entity_names(outline)
selected: list[SelectedEntity] = []
def reasons_for(name: str, *, is_main: bool) -> list[SelectionReason]:
reasons: list[SelectionReason] = []
if _matches(name, beat_listed, beat_text):
reasons.append("explicit_beat")
if is_main:
reasons.append("main_character")
if _matches(name, digest_listed, digest_text):
reasons.append("recent_digest")
if name in window_names:
reasons.append("foreshadow_window")
return sorted(set(reasons), key=lambda r: _REASON_RANK[r])
for c in characters:
reasons = reasons_for(c.name, is_main=(c.role or "") in MAIN_ROLES)
if reasons:
selected.append(SelectedEntity(kind="character", name=c.name, reasons=reasons))
for w in world_entities:
reasons = reasons_for(w.name, is_main=False)
if reasons:
selected.append(SelectedEntity(kind="world_entity", name=w.name, reasons=reasons))
selected.sort(key=lambda e: (_KIND_RANK[e.kind], e.name))
return SelectionTrace(selected=selected)

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"""Repository 协议的 SQLAlchemy async 实现ARCH §3.5)。
ORM 行 → 只读视图的映射层;统一按 project_id 过滤(数据隔离,多租户化时此层加 owner_id
单测用内存 fake见 tests此实现由 mypy 静态校验、运行时T1.4)注入真实 session。
"""
from __future__ import annotations
import uuid
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from ww_db.models import (
ChapterDigest,
Character,
Foreshadow,
Outline,
Rule,
StyleFingerprint,
WorldEntity,
)
from ww_core.domain.repositories import (
CharacterView,
DigestView,
ForeshadowView,
MemoryRepos,
OutlineView,
RuleView,
StyleView,
WorldEntityView,
)
class SqlOutlineRepo:
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def get(self, project_id: uuid.UUID, chapter_no: int) -> OutlineView | None:
row = (
await self._s.execute(
select(Outline).where(
Outline.project_id == project_id, Outline.chapter_no == chapter_no
)
)
).scalar_one_or_none()
if row is None:
return None
return OutlineView(
volume=row.volume,
chapter_no=row.chapter_no,
beats=row.beats or {},
foreshadow_windows=list(row.foreshadow_windows or []),
)
class SqlCharacterRepo:
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def list_for_project(self, project_id: uuid.UUID) -> list[CharacterView]:
rows = (
await self._s.execute(select(Character).where(Character.project_id == project_id))
).scalars()
return [
CharacterView(
name=r.name,
role=r.role,
traits=r.traits,
appearance=r.appearance,
motive=r.motive,
backstory=r.backstory,
arc=r.arc,
speech_tics=r.speech_tics,
tags=list(r.tags or []),
relations=list(r.relations or []),
first_chapter=r.first_chapter,
latest_state=r.latest_state,
)
for r in rows
]
class SqlWorldEntityRepo:
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def list_for_project(self, project_id: uuid.UUID) -> list[WorldEntityView]:
rows = (
await self._s.execute(select(WorldEntity).where(WorldEntity.project_id == project_id))
).scalars()
return [
WorldEntityView(
type=r.type,
name=r.name,
rules=r.rules,
first_chapter=r.first_chapter,
latest_state=r.latest_state,
)
for r in rows
]
class SqlDigestRepo:
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def recent(self, project_id: uuid.UUID, k: int) -> list[DigestView]:
rows = (
await self._s.execute(
select(ChapterDigest)
.where(ChapterDigest.project_id == project_id)
.order_by(ChapterDigest.chapter_no.desc())
.limit(k)
)
).scalars()
return [DigestView(chapter_no=r.chapter_no, facts=r.facts) for r in rows]
class SqlForeshadowRepo:
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def list_for_codes(self, project_id: uuid.UUID, codes: list[str]) -> list[ForeshadowView]:
if not codes:
return []
rows = (
await self._s.execute(
select(Foreshadow).where(
Foreshadow.project_id == project_id, Foreshadow.code.in_(codes)
)
)
).scalars()
return [
ForeshadowView(
code=r.code,
title=r.title,
status=r.status,
planted_at=r.planted_at,
expected_close_from=r.expected_close_from,
expected_close_to=r.expected_close_to,
content=r.content,
)
for r in rows
]
class SqlStyleRepo:
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def latest(self, project_id: uuid.UUID) -> StyleView | None:
row = (
await self._s.execute(
select(StyleFingerprint)
.where(StyleFingerprint.project_id == project_id)
.order_by(StyleFingerprint.version.desc())
.limit(1)
)
).scalar_one_or_none()
if row is None:
return None
return StyleView(dimensions=row.dimensions_json)
class SqlRulesRepo:
def __init__(self, session: AsyncSession) -> None:
self._s = session
async def all_for_project(self, project_id: uuid.UUID) -> list[RuleView]:
# 全局规则(project_id 为空) + 本作品规则——合并优先级在 assemble.merge_rules 处理
rows = (
await self._s.execute(
select(Rule).where((Rule.project_id == project_id) | (Rule.project_id.is_(None)))
)
).scalars()
return [RuleView(level=r.level, content=r.content) for r in rows]
def sql_memory_repos(session: AsyncSession) -> MemoryRepos:
"""用一个 AsyncSession 装配全部 7 个 SQLAlchemy repoT1.4 注入点)。"""
return MemoryRepos(
outline=SqlOutlineRepo(session),
character=SqlCharacterRepo(session),
world_entity=SqlWorldEntityRepo(session),
digest=SqlDigestRepo(session),
foreshadow=SqlForeshadowRepo(session),
style=SqlStyleRepo(session),
rules=SqlRulesRepo(session),
)

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"""记忆服务输出契约C5——AssembledContext / SelectionTrace。
决策memory/decisions.md 2026-06-18assemble 返回中性序列化文本,
不返回 gateway 的 LlmRequest——记忆服务只经 DB 通信,不依赖网关类型。
write 节点(T1.3)再据此构造 LlmRequest(system=[Block(stable_core, cache=True)], input=volatile)。
"""
from __future__ import annotations
from typing import Literal
from pydantic import BaseModel, Field
EntityKind = Literal["character", "world_entity"]
SelectionReason = Literal[
"explicit_beat", # 本章大纲 beats 点名
"main_character", # 主角/核心常驻
"recent_digest", # 近 N 章摘要出现
"foreshadow_window", # 命中本章伏笔窗口
]
# 理由的规范排序(保证 SelectionTrace 确定性)
REASON_ORDER: tuple[SelectionReason, ...] = (
"explicit_beat",
"main_character",
"recent_digest",
"foreshadow_window",
)
class SelectedEntity(BaseModel):
"""一个被选中的实体 + 入选理由(喂给 UX 注入透明面板T1.6)。"""
model_config = {"frozen": True}
kind: EntityKind
name: str
reasons: list[SelectionReason] = Field(default_factory=list)
class SelectionTrace(BaseModel):
"""确定性选择的可解释结果:选了谁、为什么。"""
model_config = {"frozen": True}
selected: list[SelectedEntity] = Field(default_factory=list)
class AssembledContext(BaseModel):
"""组装结果:缓存断点前的稳定内核 + 断点后的易变内容 + 选择留痕。
stable_core / volatile 均为**已确定性排序、无时间戳/无 UUID** 的字符串
缓存前缀字节稳定ARCH §4.6 / 不变量 #9
"""
model_config = {"frozen": True}
stable_core: str
volatile: str
selection: SelectionTrace

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"""编排器C4 / ARCH §5.2)——写章图 + 审稿子图 + SSE 归一 + Postgres checkpointer。
- M1单 `write` 节点(`build_write_graph`)。
- M2并行审子图`build_review_graph`START→各审并行→collect 落 `chapter_reviews`+
审稿 SSE`section`/`conflict` 事件 + `normalize_review`)。
- accept验收事务/`interrupt_before`)不在本图——属 T2.4确定性代码读领域表R3
"""
from __future__ import annotations
from .collect import (
CONTINUITY,
ReviewRecorder,
collect_reviews,
extract_conflicts,
)
from .graph import (
COLLECT_NODE,
REVIEW_SPECS,
WRITE_NODE,
build_review_graph,
build_write_graph,
setup_checkpointer,
)
from .review_node import (
REVIEW_INCOMPLETE,
REVIEW_OK,
BoundReviewNode,
GatewayRun,
build_review_context,
build_review_request,
make_review_node,
run_review,
)
from .sse import (
EVENT_CONFLICT,
EVENT_DONE,
EVENT_ERROR,
EVENT_SECTION,
EVENT_TOKEN,
SECTION_DONE,
SECTION_INCOMPLETE,
SECTION_STARTED,
SseEvent,
conflict_event,
done_event,
error_event,
normalize_deltas,
normalize_review,
section_event,
token_event,
)
from .state import ChapterState, merge_reviews
from .write_node import GatewayStream, build_write_request, stream_chapter_draft, write_node
__all__ = [
"COLLECT_NODE",
"CONTINUITY",
"EVENT_CONFLICT",
"EVENT_DONE",
"EVENT_ERROR",
"EVENT_SECTION",
"EVENT_TOKEN",
"REVIEW_INCOMPLETE",
"REVIEW_OK",
"REVIEW_SPECS",
"SECTION_DONE",
"SECTION_INCOMPLETE",
"SECTION_STARTED",
"WRITE_NODE",
"BoundReviewNode",
"ChapterState",
"GatewayRun",
"GatewayStream",
"ReviewRecorder",
"SseEvent",
"build_review_context",
"build_review_graph",
"build_review_request",
"build_write_graph",
"build_write_request",
"collect_reviews",
"conflict_event",
"done_event",
"error_event",
"extract_conflicts",
"make_review_node",
"merge_reviews",
"normalize_deltas",
"normalize_review",
"run_review",
"section_event",
"setup_checkpointer",
"stream_chapter_draft",
"token_event",
"write_node",
]

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"""写章图工厂 + Postgres checkpointerC4 / ARCH §5.2)。
M1单 `write` 节点图(四审/collect/interrupt 验收属 M2
checkpointer 纪律CLAUDE.md「LangGraph」
- 用 **Postgres checkpointer**durable/resumable跨 write→accept 的请求间隙)。
- `setup()` **只在 migrations/CI 跑**,绝不在 import/app-runtime 跑——故本模块只
暴露 `setup_checkpointer` 入口build 函数不触碰 DDL。
- 单测用 `MemorySaver`(或直接测节点函数),永不连真 Postgres。
"""
from __future__ import annotations
from collections.abc import Sequence
from typing import TYPE_CHECKING, Any
from langgraph.graph import END, START, StateGraph
from ww_agents import AgentSpec, continuity_spec
from .collect import ReviewRecorder, collect_reviews
from .review_node import GatewayRun, run_review
from .state import ChapterState
from .write_node import GatewayStream, write_node
if TYPE_CHECKING:
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.graph.state import CompiledStateGraph
WRITE_NODE = "write"
COLLECT_NODE = "collect"
def build_write_graph(
gateway: GatewayStream,
*,
checkpointer: BaseCheckpointSaver[Any] | None = None,
) -> CompiledStateGraph[ChapterState, None, ChapterState, ChapterState]:
"""构建并编译单 `write` 节点图。
`gateway` 经闭包绑进节点(节点对图只暴露 `(state)->dict`,确定性可单测)。
`checkpointer`:运行时传 Postgres saver单测传 `MemorySaver` 或不传。
"""
async def _write(state: ChapterState) -> dict[str, str]:
return await write_node(state, gateway=gateway)
builder: StateGraph[ChapterState, None, ChapterState, ChapterState] = StateGraph(ChapterState)
builder.add_node(WRITE_NODE, _write)
builder.add_edge(START, WRITE_NODE)
builder.add_edge(WRITE_NODE, END)
return builder.compile(checkpointer=checkpointer)
REVIEW_SPECS: tuple[AgentSpec, ...] = (continuity_spec,)
def build_review_graph(
gateway: GatewayRun,
review_repo: ReviewRecorder,
*,
review_specs: Sequence[AgentSpec] = REVIEW_SPECS,
checkpointer: BaseCheckpointSaver[Any] | None = None,
) -> CompiledStateGraph[ChapterState, None, ChapterState, ChapterState]:
"""构建并编译审稿子图:`START →`(各 review spec 并行节点)`→ collect → END`。
M2 默认仅 continuity`review_specs` 可扩M3/M4 加 foreshadow/style/pace 三审),
图按这组 spec 循环加并行分支,全部汇入 collect任一审失败不阻塞§5.2——失败隔离
在 `run_review` 内、标 incomplete 占位)。
`gateway` / `review_repo` 经闭包绑进节点langgraph 不收 functools.partial见 gotcha
**accept 不在本图**:本任务只交付到 collect审稿留痕落 `chapter_reviews`+ review SSE
`interrupt_before=["accept"]` / accept 节点属 T2.4验收事务确定性代码读领域表R3
"""
async def _collect(state: ChapterState) -> dict[str, Any]:
return await collect_reviews(state, review_repo=review_repo)
builder: StateGraph[ChapterState, None, ChapterState, ChapterState] = StateGraph(ChapterState)
builder.add_node(COLLECT_NODE, _collect)
for spec in review_specs:
# spec 经默认参绑定(避免闭包晚绑定 + langgraph 不收 functools.partial见 gotcha
async def _review(state: ChapterState, *, _spec: AgentSpec = spec) -> dict[str, Any]:
return await run_review(_spec, state, gateway=gateway)
builder.add_node(spec.name, _review)
builder.add_edge(START, spec.name)
builder.add_edge(spec.name, COLLECT_NODE)
builder.add_edge(COLLECT_NODE, END)
return builder.compile(checkpointer=checkpointer)
async def setup_checkpointer(conn_string: str) -> None:
"""在 **migrations/CI** 创建 checkpointer 所需表(绝不在 app-runtime 调用)。
用 async saver 的上下文管理器拿连接后跑一次性 `setup()` DDL。
"""
from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
async with AsyncPostgresSaver.from_conn_string(conn_string) as saver:
await saver.setup()

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"""SSE 归一层C4 / ARCH §7.3)——把网关 `Delta` 流归一为 SSE 事件对象。
§7.3 全量事件:`token`/`section`/`conflict`/`done`/`error`。**M1 写章只需 `token`/`done`/`error`**
`section`/`conflict` 属 M2 四审)。本模块产出**与传输无关的事件对象**——
HTTP `StreamingResponse`/`text/event-stream` 编码归 T1.4apps/api不在此处。
错误处理CLAUDE.md「Logging」底层流抛错 → 发一条 `error` 事件(带 `code`/`message`/
`request_id`,对齐错误信封 §7.1)后**正常收尾**,绝不把异常泄到调用方循环里。
"""
from __future__ import annotations
from collections.abc import AsyncIterator, Mapping
from typing import Any
import structlog
from pydantic import BaseModel
from ww_llm_gateway.types import Delta
from ww_shared import AppError, ErrorCode
from .review_node import REVIEW_OK
log = structlog.get_logger(__name__)
# §7.3 事件名(全集)。完整清单以 ARCHITECTURE §7.3 为准。
EVENT_TOKEN = "token" # 正文增量(写章 draft
EVENT_SECTION = "section" # 四审分项开始/完成(审稿 review
EVENT_CONFLICT = "conflict" # 冲突命中(审稿 review
EVENT_DONE = "done"
EVENT_ERROR = "error"
# section 状态(对齐 review_node.REVIEW_OK / REVIEW_INCOMPLETE外加分项「开始」
SECTION_STARTED = "started"
SECTION_DONE = "done"
SECTION_INCOMPLETE = "incomplete"
class SseEvent(BaseModel):
"""归一后的 SSE 事件对象snake_caseT1.4 据此编码为 text/event-stream。"""
model_config = {"frozen": True}
event: str
data: dict[str, object]
def token_event(text: str) -> SseEvent:
return SseEvent(event=EVENT_TOKEN, data={"text": text})
def done_event(*, length: int) -> SseEvent:
"""完成事件:只带长度(不回灌全文——脱敏 + 前端已逐 token 累积)。"""
return SseEvent(event=EVENT_DONE, data={"length": length})
def section_event(*, name: str, status: str) -> SseEvent:
"""四审分项事件§7.3 `section``{name, status}`——前端报告分区进度。"""
return SseEvent(event=EVENT_SECTION, data={"name": name, "status": status})
def conflict_event(
*,
type: str,
where: str,
refs: list[str],
suggestion: str,
) -> SseEvent:
"""冲突命中事件§7.3 `conflict`)——形对齐 C6 `Conflict`,供正文就地朱砂标注。"""
return SseEvent(
event=EVENT_CONFLICT,
data={"type": type, "where": where, "refs": refs, "suggestion": suggestion},
)
def error_event(*, code: str, message: str, request_id: str | None = None) -> SseEvent:
"""错误事件,形对齐错误信封 §7.1`code`/`message`),附 `request_id` 便于贯通排查。"""
return SseEvent(
event=EVENT_ERROR,
data={"code": code, "message": message, "request_id": request_id},
)
async def normalize_deltas(
deltas: AsyncIterator[Delta],
*,
request_id: str | None = None,
) -> AsyncIterator[SseEvent]:
"""把 `Delta` 流归一为 SSE 事件流:每个非空 `Delta` → `token`;正常收尾发 `done`
底层异常 → `error`(不再向上抛)。
这是 **T1.4 消费的缝**apps/api 拿 `stream_chapter_draft(...)` 传进来,
本函数产出 `SseEvent`T1.4 包成 `StreamingResponse`。
"""
total = 0
try:
async for delta in deltas:
if delta.text:
total += len(delta.text)
yield token_event(delta.text)
except AppError as exc:
log.warning(
"sse_stream_error",
code=str(exc.code),
request_id=request_id,
chars_before_error=total,
)
yield error_event(code=str(exc.code), message=exc.message, request_id=request_id)
return
except Exception as exc: # noqa: BLE001 — 边界兜底:任何意外都归一为 error 事件,不泄异常
log.error(
"sse_stream_unexpected_error",
error=str(exc),
request_id=request_id,
chars_before_error=total,
)
yield error_event(
code=str(ErrorCode.INTERNAL),
message="internal error during streaming",
request_id=request_id,
)
return
yield done_event(length=total)
async def normalize_review(
reviews: Mapping[str, Any],
*,
request_id: str | None = None,
) -> AsyncIterator[SseEvent]:
"""把审稿子图的结构化产出(`state["reviews"]`)归一为 SSE 事件序列。
供 **T2.5** 的 `POST .../review` 端点消费:跑 `build_review_graph` 后拿 `final["reviews"]`
(形 `{name: {status, result}}`),本函数产 `section`(每审 done/incomplete+ `conflict`
(命中冲突,形对齐 C6 `Conflict`+ `done`。HTTP event-stream 编码归 T2.5,不在此处。
错误处理纪律(同 `normalize_deltas`):任何意外 → 一条 `error` 事件后正常收尾,不上抛。
某审 `incomplete`网关失败被隔离§5.2)→ 发 `section{status:incomplete}`,不发其冲突。
`reviews` 键按字典序遍历 → 确定性事件顺序(便于单测/前端稳定渲染)。
"""
try:
section_count = 0
for name in sorted(reviews.keys()):
entry = reviews.get(name) or {}
status = entry.get("status")
if status == REVIEW_OK:
yield section_event(name=name, status=SECTION_DONE)
section_count += 1
result = entry.get("result") or {}
for conflict in result.get("conflicts") or []:
yield conflict_event(
type=conflict.get("type", ""),
where=conflict.get("where", ""),
refs=list(conflict.get("refs") or []),
suggestion=conflict.get("suggestion", ""),
)
else:
yield section_event(name=name, status=SECTION_INCOMPLETE)
section_count += 1
except Exception as exc: # noqa: BLE001 — 边界兜底:任何意外都归一为 error 事件,不泄异常
log.error("sse_review_unexpected_error", error=str(exc), request_id=request_id)
yield error_event(
code=str(ErrorCode.INTERNAL),
message="internal error during review",
request_id=request_id,
)
return
yield done_event(length=section_count)

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"""编排器图状态C4 / ARCH §5.2)——只存**控制流 + 组装上下文 + 累积草稿**。
不变量 #5checkpoint 只承载控制流位置 + 组装上下文 + 已生成草稿增量 + 过程态审稿产物,
正文/审稿以领域表为权威resume 时从 `chapters`/`chapter_reviews` 重读M2
M2 加并行审 + collect验收/interrupt 的真相源重建归 T2.4accept 不在本图)。
`ChapterState` 用 TypedDictLangGraph 原生状态形态),字段全 snake_case。
"""
from __future__ import annotations
import uuid
from typing import Annotated, Any, TypedDict
def merge_reviews(left: dict[str, Any], right: dict[str, Any]) -> dict[str, Any]:
"""并行审分支的 `reviews` 归并 reducer不可变返回新 dict
四审为并行分支,同一 superstep 各写 `{spec.name: ...}`;无 reducer 时 LangGraph
会因并发写同一键抛 `InvalidUpdateError`。本 reducer 把各分项浅合并入一个 dict。
"""
return {**left, **right}
class ChapterState(TypedDict, total=False):
"""写章 + 审稿图的控制流状态。
- `project_id` / `chapter_no`定位本章resume 时据此重读领域表)。
- `user_id`:调用作用域(落账 owner_id原型单用户 stub
- `stable_core` / `volatile`:来自 `memory.assemble` 的中性文本
stable_core=缓存断点前volatile=断点后。write 节点据此构造 `LlmRequest`。
- `draft`write 节点累积的草稿正文(流式增量拼接的最终结果)。
- `review_context`M2审稿注入文本——草稿 + 近况摘要/人物卡/世界观硬规则的
确定性拼装(复用 assemble 的 stable/volatile无时间戳
- `reviews`M2collect 汇总的各审分项结果(**过程态**)。落 `chapter_reviews`
表后真相在表;不变量 #5checkpoint 不作审稿真相源resume 从领域表重读。
M2 起字段按节点逐步填充,故 `total=False`write 阶段无 review 字段亦合法)。
"""
project_id: uuid.UUID
chapter_no: int
user_id: uuid.UUID
stable_core: str
volatile: str
draft: str
review_context: str
reviews: Annotated[dict[str, Any], merge_reviews]

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"""write 节点C4 / ARCH §5.2 §5.4 writer 行)——把组装上下文流式写成草稿。
确定性边界CLAUDE.md「LangGraph」纪律
- 节点逻辑里**无 LLM 非确定性**——所有不确定性藏在网关后;节点只做
`AssembledContext → LlmRequest` 的纯构造 + 转发 `Gateway.stream` 的 `Delta`。
- 因此 `build_write_request` 是纯函数、`stream_chapter_draft` 注入 mock 网关即可单测,
不需要图运行时、不需要真 Postgres。
- 瞬时失败重试在网关§4.5不在节点节点遇错只干净抛出SSE 层据此发 `error`§7.3)。
不变量 ②:只传 `tier="writer"`,绝不传具体 model。
不变量 #9`stable_core` 进 `system` 缓存断点前cache=True`volatile` 进 `input`(断点后)。
"""
from __future__ import annotations
import uuid
from collections.abc import AsyncIterator
from typing import Protocol
from ww_llm_gateway.types import Block, Delta, LlmRequest, Scope
from .state import ChapterState
class GatewayStream(Protocol):
"""write 节点对网关的最小依赖——只需 `stream`(注入真网关或 mock"""
def stream(self, req: LlmRequest) -> AsyncIterator[Delta]: ...
def build_write_request(
*,
stable_core: str,
volatile: str,
user_id: uuid.UUID,
project_id: uuid.UUID,
) -> LlmRequest:
"""据组装上下文构造写章请求(纯函数,决策 2026-06-18
`stable_core` → `system` 缓存断点前块cache=True`volatile` → `input`(断点后)。
"""
return LlmRequest(
tier="writer",
system=[Block(text=stable_core, cache=True)],
input=volatile,
stream=True,
scope=Scope(user_id=user_id, project_id=project_id),
)
async def stream_chapter_draft(
gateway: GatewayStream,
*,
stable_core: str,
volatile: str,
user_id: uuid.UUID,
project_id: uuid.UUID,
) -> AsyncIterator[Delta]:
"""流式生成本章草稿增量T1.4 的底层流)——构造请求 → 转发网关 `Delta`。
本身不累积/不落库;累积归 `write_node`(图状态),落库(自动保存)归 T1.4。
瞬时失败已在网关重试;此处的异常向上抛给 SSE 归一层(发 `error` 事件)。
"""
req = build_write_request(
stable_core=stable_core,
volatile=volatile,
user_id=user_id,
project_id=project_id,
)
async for delta in gateway.stream(req):
yield delta
async def write_node(state: ChapterState, *, gateway: GatewayStream) -> dict[str, str]:
"""LangGraph write 节点:流式生成 → 累积草稿 → 不可变返回 `{"draft": ...}`。
直接调用本函数(注入 mock 网关)即可单测,无需图运行时。
返回**增量字典**LangGraph 合并进状态),不原地改 `state`(不可变更新)。
"""
parts: list[str] = []
async for delta in stream_chapter_draft(
gateway,
stable_core=state["stable_core"],
volatile=state["volatile"],
user_id=state["user_id"],
project_id=state["project_id"],
):
parts.append(delta.text)
return {"draft": "".join(parts)}