refactor:重构智能角色/组织引入机制,从先预测后确认模式改为大纲后自动校验补全模式

This commit is contained in:
xiamuceer-j
2026-02-12 12:39:25 +08:00
parent e31225c45f
commit b9aaf5d6a7
5 changed files with 481 additions and 1619 deletions
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-75
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@@ -4,71 +4,6 @@ from typing import Optional, List, Dict, Any
from datetime import datetime
# 角色预测相关Schema
class CharacterPredictionRequest(BaseModel):
"""角色预测请求"""
project_id: str
start_chapter: int
chapter_count: int = 3
plot_stage: str = "development"
story_direction: Optional[str] = "自然延续"
enable_mcp: bool = True
class PredictedCharacter(BaseModel):
"""预测的角色信息"""
name: Optional[str] = None
role_description: str
suggested_role_type: str
importance: str
appearance_chapter: int
key_abilities: List[str] = []
plot_function: str
relationship_suggestions: List[Dict[str, str]] = []
class CharacterPredictionResponse(BaseModel):
"""角色预测响应"""
needs_new_characters: bool
reason: str
character_count: int
predicted_characters: List[PredictedCharacter]
# 组织预测相关Schema
class OrganizationPredictionRequest(BaseModel):
"""组织预测请求"""
project_id: str
start_chapter: int
chapter_count: int = 3
plot_stage: str = "development"
story_direction: Optional[str] = "自然延续"
enable_mcp: bool = True
class PredictedOrganization(BaseModel):
"""预测的组织信息"""
name: Optional[str] = None
organization_description: str
organization_type: str
importance: str
appearance_chapter: int
power_level: int = 50
plot_function: str
location: Optional[str] = None
motto: Optional[str] = None
initial_members: List[Dict[str, Any]] = []
relationship_suggestions: List[Dict[str, str]] = []
class OrganizationPredictionResponse(BaseModel):
"""组织预测响应"""
needs_new_organizations: bool
reason: str
organization_count: int
predicted_organizations: List[PredictedOrganization]
class OutlineBase(BaseModel):
"""大纲基础模型"""
title: str = Field(..., description="章节标题")
@@ -126,16 +61,6 @@ class OutlineGenerateRequest(BaseModel):
plot_stage: str = Field("development", description="情节阶段: development(发展), climax(高潮), ending(结局)")
keep_existing: bool = Field(False, description="是否保留现有大纲(续写时)")
enable_mcp: bool = Field(True, description="是否启用MCP工具增强(搜索情节设计参考)")
# 自动角色引入相关参数
enable_auto_characters: bool = Field(True, description="是否启用自动角色引入(根据剧情推进自动创建新角色)")
require_character_confirmation: bool = Field(True, description="是否需要用户确认新角色(False则AI预测的角色直接创建)")
confirmed_characters: Optional[List[Dict[str, Any]]] = Field(None, description="用户确认的角色列表(跳过预测直接创建)")
# 自动组织引入相关参数
enable_auto_organizations: bool = Field(True, description="是否启用自动组织引入(根据剧情推进自动创建新组织)")
require_organization_confirmation: bool = Field(True, description="是否需要用户确认新组织(False则AI预测的组织直接创建)")
confirmed_organizations: Optional[List[Dict[str, Any]]] = Field(None, description="用户确认的组织列表(跳过预测直接创建)")
class ChapterOutlineGenerateRequest(BaseModel):
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-29
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@@ -383,35 +383,6 @@ export const outlineApi = {
generateOutline: (data: GenerateOutlineRequest) =>
api.post<unknown, { total: number; items: Outline[] }>('/outlines/generate', data).then(res => res.items),
// 预测续写所需角色
predictCharacters: (data: {
project_id: string;
start_chapter: number;
chapter_count: number;
plot_stage: string;
story_direction?: string;
enable_mcp: boolean;
}) =>
api.post<unknown, {
needs_new_characters: boolean;
reason: string;
character_count: number;
predicted_characters: Array<{
name: string | null;
role_description: string;
suggested_role_type: string;
importance: string;
appearance_chapter: number;
key_abilities: string[];
plot_function: string;
relationship_suggestions: Array<{
target_character_name: string;
relationship_type: string;
description?: string;
}>;
}>;
}>('/outlines/predict-characters', data),
// 获取大纲关联的章节
getOutlineChapters: (outlineId: string) =>
api.get<unknown, {
+3 -31
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@@ -18,8 +18,6 @@ export interface SSEClientOptions {
onError?: (error: string, code?: number) => void;
onComplete?: () => void;
onConnectionError?: (error: Event) => void;
onCharacterConfirmation?: (data: any) => void; // 新增:角色确认回调
onOrganizationConfirmation?: (data: any) => void; // 新增:组织确认回调
}
export class SSEClient {
@@ -169,8 +167,6 @@ export class SSEPostClient {
}
let buffer = '';
let currentEvent = ''; // 跟踪当前事件类型
while (true) {
const { done, value } = await reader.read();
@@ -189,38 +185,14 @@ export class SSEPostClient {
}
try {
// 检查是否有事件类型
const eventMatch = line.match(/^event: (.+)$/m);
if (eventMatch) {
currentEvent = eventMatch[1];
}
// 解析数据
const dataMatch = line.match(/^data: (.+)$/m);
if (dataMatch) {
const data = JSON.parse(dataMatch[1]);
// 根据事件类型处理
if (currentEvent === 'character_confirmation_required') {
// 处理角色确认事件
if (this.options.onCharacterConfirmation) {
this.options.onCharacterConfirmation(data);
}
currentEvent = ''; // 重置事件类型
return; // 暂停流程,等待用户确认
} else if (currentEvent === 'organization_confirmation_required') {
// 处理组织确认事件
if (this.options.onOrganizationConfirmation) {
this.options.onOrganizationConfirmation(data);
}
currentEvent = ''; // 重置事件类型
return; // 暂停流程,等待用户确认
} else {
// 标准消息处理
const message: SSEMessage = data;
await this.handleMessage(message, resolve, reject);
currentEvent = ''; // 重置事件类型
}
// 标准消息处理
const message: SSEMessage = data;
await this.handleMessage(message, resolve, reject);
}
} catch (error) {
console.error('解析SSE消息失败:', error, line);