xiamuceer
504 lines
21 KiB
Python
504 lines
21 KiB
Python
"""自动组织引入服务 - 在续写大纲时根据剧情推进自动引入新组织"""
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from typing import List, Dict, Any, Optional
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select
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import json
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from app.models.character import Character
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from app.models.relationship import Organization, OrganizationMember
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from app.models.project import Project
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from app.services.ai_service import AIService
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from app.services.prompt_service import PromptService
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from app.logger import get_logger
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logger = get_logger(__name__)
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class AutoOrganizationService:
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"""自动组织引入服务"""
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def __init__(self, ai_service: AIService):
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self.ai_service = ai_service
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async def analyze_and_create_organizations(
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self,
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project_id: str,
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outline_content: str,
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existing_characters: List[Character],
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existing_organizations: List[Dict[str, Any]],
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db: AsyncSession,
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user_id: str = None,
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enable_mcp: bool = True,
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all_chapters_brief: str = "",
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start_chapter: int = 1,
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chapter_count: int = 3,
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plot_stage: str = "发展",
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story_direction: str = "继续推进主线剧情",
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preview_only: bool = False
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) -> Dict[str, Any]:
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"""
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预测性分析并创建需要的新组织
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Args:
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project_id: 项目ID
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outline_content: 当前批次大纲内容（用于向后兼容，实际不使用）
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existing_characters: 现有角色列表
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existing_organizations: 现有组织列表
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db: 数据库会话
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user_id: 用户ID(用于MCP和自定义提示词)
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enable_mcp: 是否启用MCP增强
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all_chapters_brief: 已有章节概览
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start_chapter: 起始章节号
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chapter_count: 续写章节数
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plot_stage: 剧情阶段
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story_direction: 故事发展方向
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preview_only: 仅预测不创建（用于组织确认机制）
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Returns:
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{
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"new_organizations": [组织对象列表], # preview_only=True时为空
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"members_created": [成员关系列表], # preview_only=True时为空
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"organization_count": 新增组织数量,
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"analysis_result": AI分析结果,
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"predicted_organizations": [预测的组织数据] # 仅preview_only=True时返回
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"needs_new_organizations": bool,
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"reason": str
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}
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"""
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logger.info(f"🏛️ 【组织引入】预测性分析：检测是否需要引入新组织...")
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logger.info(f" - 项目ID: {project_id}")
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logger.info(f" - 续写计划: 第{start_chapter}章起，共{chapter_count}章")
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logger.info(f" - 剧情阶段: {plot_stage}")
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logger.info(f" - 发展方向: {story_direction}")
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logger.info(f" - 现有角色数: {len(existing_characters)}")
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logger.info(f" - 现有组织数: {len(existing_organizations)}")
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# 1. 获取项目信息
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project_result = await db.execute(
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select(Project).where(Project.id == project_id)
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)
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project = project_result.scalar_one_or_none()
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if not project:
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raise ValueError("项目不存在")
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# 2. 构建现有组织信息摘要
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existing_orgs_summary = self._build_organization_summary(existing_organizations)
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existing_chars_summary = self._build_character_summary(existing_characters)
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# 3. AI预测性分析是否需要新组织
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analysis_result = await self._analyze_organization_needs(
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project=project,
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outline_content=outline_content,
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existing_orgs_summary=existing_orgs_summary,
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existing_chars_summary=existing_chars_summary,
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db=db,
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user_id=user_id,
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enable_mcp=enable_mcp,
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all_chapters_brief=all_chapters_brief,
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start_chapter=start_chapter,
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chapter_count=chapter_count,
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plot_stage=plot_stage,
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story_direction=story_direction
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)
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# 4. 判断是否需要创建组织
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if not analysis_result or not analysis_result.get("needs_new_organizations"):
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logger.info("✅ AI判断：当前剧情不需要引入新组织")
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return {
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"new_organizations": [],
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"members_created": [],
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"organization_count": 0,
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"analysis_result": analysis_result,
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"predicted_organizations": [],
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"needs_new_organizations": False,
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"reason": analysis_result.get("reason", "当前剧情不需要新组织")
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}
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# 5. 如果是预览模式，仅返回预测结果，不创建组织
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if preview_only:
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organization_specs = analysis_result.get("organization_specifications", [])
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logger.info(f"🔮 预览模式：预测到 {len(organization_specs)} 个组织，不创建数据库记录")
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return {
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"new_organizations": [],
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"members_created": [],
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"organization_count": 0,
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"analysis_result": analysis_result,
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"predicted_organizations": organization_specs,
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"needs_new_organizations": True,
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"reason": analysis_result.get("reason", "预测需要新组织")
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}
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# 6. 批量生成新组织（非预览模式）
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new_organizations = []
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members_created = []
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organization_specs = analysis_result.get("organization_specifications", [])
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logger.info(f"🎯 AI建议引入 {len(organization_specs)} 个新组织")
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for idx, spec in enumerate(organization_specs):
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try:
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spec_name = spec.get('name', spec.get('organization_description', '未命名'))
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logger.info(f" [{idx+1}/{len(organization_specs)}] 生成组织规格: {spec_name}")
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logger.debug(f" 组织规格内容: {json.dumps(spec, ensure_ascii=False)}")
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# 生成组织详细信息
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organization_data = await self._generate_organization_details(
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spec=spec,
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project=project,
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existing_characters=existing_characters,
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existing_organizations=existing_organizations,
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db=db,
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user_id=user_id,
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enable_mcp=enable_mcp
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)
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logger.debug(f" AI生成的组织数据: {json.dumps(organization_data, ensure_ascii=False)[:200]}")
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# 创建组织记录（先创建Character记录，再创建Organization记录）
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character, organization = await self._create_organization_record(
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project_id=project_id,
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organization_data=organization_data,
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db=db
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)
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new_organizations.append({
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"character": character,
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"organization": organization
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})
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logger.info(f" ✅ 创建新组织: {character.name}, ID: {organization.id}")
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# 建立成员关系
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members_data = organization_data.get("initial_members", [])
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if members_data:
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logger.info(f" 🔗 开始创建 {len(members_data)} 个成员关系...")
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members = await self._create_member_relationships(
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organization=organization,
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member_specs=members_data,
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existing_characters=existing_characters,
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project_id=project_id,
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db=db
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)
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members_created.extend(members)
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logger.info(f" ✅ 实际创建了 {len(members)} 个成员关系记录")
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except Exception as e:
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logger.error(f" ❌ 创建组织失败: {e}", exc_info=True)
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continue
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# 7. 提交事务（注意：这里只flush，让调用方commit）
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await db.flush()
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logger.info(f"🎉 自动组织引入完成: 新增{len(new_organizations)}个组织, {len(members_created)}个成员关系")
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return {
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"new_organizations": new_organizations,
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"members_created": members_created,
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"organization_count": len(new_organizations),
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"analysis_result": analysis_result,
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"predicted_organizations": [],
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"needs_new_organizations": True,
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"reason": analysis_result.get("reason", "")
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}
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def _build_organization_summary(self, organizations: List[Dict[str, Any]]) -> str:
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"""构建现有组织摘要"""
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if not organizations:
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return "暂无组织"
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summary = []
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for org in organizations:
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org_name = org.get("name", "未知")
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org_type = org.get("organization_type", "未知类型")
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power_level = org.get("power_level", 50)
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purpose = (org.get("organization_purpose") or "")[:50]
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summary.append(f"- {org_name} ({org_type}, 势力等级:{power_level}): {purpose}")
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return "\n".join(summary[:15]) # 最多显示15个
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def _build_character_summary(self, characters: List[Character]) -> str:
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"""构建现有角色摘要"""
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if not characters:
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return "暂无角色"
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summary = []
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for char in characters:
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if not char.is_organization: # 只统计非组织角色
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char_role = char.role_type or "未知"
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personality = (char.personality or "")[:30]
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summary.append(f"- {char.name} ({char_role}): {personality}")
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return "\n".join(summary[:20]) # 最多显示20个
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async def _analyze_organization_needs(
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self,
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project: Project,
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outline_content: str,
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existing_orgs_summary: str,
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existing_chars_summary: str,
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db: AsyncSession,
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user_id: str,
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enable_mcp: bool,
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all_chapters_brief: str = "",
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start_chapter: int = 1,
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chapter_count: int = 3,
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plot_stage: str = "发展",
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story_direction: str = "继续推进主线剧情"
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) -> Dict[str, Any]:
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"""AI预测性分析是否需要新组织"""
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# 构建分析提示词
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template = await PromptService.get_template(
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"AUTO_ORGANIZATION_ANALYSIS",
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user_id,
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db
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)
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# 使用新的预测性分析参数
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prompt = PromptService.format_prompt(
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template,
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title=project.title,
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theme=project.theme or "未设定",
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genre=project.genre or "未设定",
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time_period=project.world_time_period or "未设定",
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location=project.world_location or "未设定",
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atmosphere=project.world_atmosphere or "未设定",
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existing_organizations=existing_orgs_summary,
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existing_characters=existing_chars_summary,
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all_chapters_brief=all_chapters_brief,
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start_chapter=start_chapter,
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chapter_count=chapter_count,
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plot_stage=plot_stage,
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story_direction=story_direction
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)
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try:
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# 调用AI分析（使用统一的JSON调用方法）
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if enable_mcp and user_id:
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result = await self.ai_service.generate_text_with_mcp(
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prompt=prompt,
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user_id=user_id,
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db_session=db,
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enable_mcp=True,
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max_tool_rounds=2
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)
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content = result.get("content", "")
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# 使用统一的JSON清洗方法
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cleaned = self.ai_service._clean_json_response(content)
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analysis = json.loads(cleaned)
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else:
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# 非MCP调用：使用带自动重试的JSON调用
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analysis = await self.ai_service.call_with_json_retry(
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prompt=prompt,
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max_retries=3
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)
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logger.info(f" ✅ AI分析完成: needs_new_organizations={analysis.get('needs_new_organizations')}")
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return analysis
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except json.JSONDecodeError as e:
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logger.error(f" ❌ 组织需求分析JSON解析失败: {e}")
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return {"needs_new_organizations": False}
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except Exception as e:
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logger.error(f" ❌ 组织需求分析失败: {e}")
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return {"needs_new_organizations": False}
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async def _generate_organization_details(
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self,
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spec: Dict[str, Any],
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project: Project,
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existing_characters: List[Character],
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existing_organizations: List[Dict[str, Any]],
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db: AsyncSession,
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user_id: str,
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enable_mcp: bool
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) -> Dict[str, Any]:
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"""生成组织详细信息"""
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# 构建组织生成提示词
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template = await PromptService.get_template(
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"AUTO_ORGANIZATION_GENERATION",
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user_id,
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db
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)
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existing_orgs_summary = self._build_organization_summary(existing_organizations)
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existing_chars_summary = self._build_character_summary(existing_characters)
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prompt = PromptService.format_prompt(
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template,
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title=project.title,
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genre=project.genre or "未设定",
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theme=project.theme or "未设定",
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time_period=project.world_time_period or "未设定",
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location=project.world_location or "未设定",
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atmosphere=project.world_atmosphere or "未设定",
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rules=project.world_rules or "未设定",
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existing_organizations=existing_orgs_summary,
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existing_characters=existing_chars_summary,
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plot_context="根据剧情需要引入的新组织",
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organization_specification=json.dumps(spec, ensure_ascii=False, indent=2),
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mcp_references="" # 暂时不使用MCP增强
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)
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# 调用AI生成（使用统一的JSON调用方法）
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try:
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if enable_mcp and user_id:
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result = await self.ai_service.generate_text_with_mcp(
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prompt=prompt,
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user_id=user_id,
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db_session=db,
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enable_mcp=True,
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max_tool_rounds=2
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)
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content = result.get("content", "")
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# 使用统一的JSON清洗方法
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cleaned = self.ai_service._clean_json_response(content)
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organization_data = json.loads(cleaned)
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else:
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# 非MCP调用：使用带自动重试的JSON调用
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organization_data = await self.ai_service.call_with_json_retry(
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prompt=prompt,
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max_retries=3
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)
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org_name = organization_data.get('name', '未知')
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logger.info(f" ✅ 组织详情生成成功: {org_name}")
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logger.debug(f" 组织数据字段: {list(organization_data.keys())}")
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# 确保关键字段存在
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if 'name' not in organization_data or not organization_data['name']:
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logger.warning(f" ⚠️ AI返回的组织数据缺少name字段，使用规格中的信息")
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organization_data['name'] = spec.get('name', f"新组织{spec.get('organization_description', '')[:10]}")
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return organization_data
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except Exception as e:
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logger.error(f" ❌ 生成组织详情失败: {e}")
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raise
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async def _create_organization_record(
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self,
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project_id: str,
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organization_data: Dict[str, Any],
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db: AsyncSession
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) -> tuple:
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"""创建组织数据库记录（包括Character和Organization）"""
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# 首先创建Character记录（is_organization=True）
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character = Character(
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project_id=project_id,
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name=organization_data.get("name", "未命名组织"),
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is_organization=True,
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role_type=organization_data.get("role_type", "supporting"),
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personality=organization_data.get("personality", ""), # 组织特性
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background=organization_data.get("background", ""), # 组织背景
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appearance=organization_data.get("appearance", ""), # 外在表现
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organization_type=organization_data.get("organization_type"),
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organization_purpose=organization_data.get("organization_purpose"),
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traits=json.dumps(organization_data.get("traits", []), ensure_ascii=False) if organization_data.get("traits") else None
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)
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db.add(character)
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await db.flush()
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# 然后创建Organization记录
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organization = Organization(
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character_id=character.id,
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project_id=project_id,
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power_level=organization_data.get("power_level", 50),
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member_count=0,
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location=organization_data.get("location"),
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motto=organization_data.get("motto"),
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color=organization_data.get("color")
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)
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db.add(organization)
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await db.flush()
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logger.info(f" ✅ 创建组织记录: {character.name}, Organization ID: {organization.id}")
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return character, organization
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async def _create_member_relationships(
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self,
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organization: Organization,
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member_specs: List[Dict[str, Any]],
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existing_characters: List[Character],
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project_id: str,
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db: AsyncSession
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) -> List[OrganizationMember]:
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"""创建组织成员关系"""
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if not member_specs:
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return []
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members = []
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for member_spec in member_specs:
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try:
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character_name = member_spec.get("character_name")
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if not character_name:
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continue
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# 查找目标角色
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target_char = next(
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(c for c in existing_characters if c.name == character_name and not c.is_organization),
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None
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)
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if not target_char:
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logger.warning(f" ⚠️ 目标角色不存在: {character_name}")
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continue
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# 检查成员关系是否已存在
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existing_member = await db.execute(
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select(OrganizationMember).where(
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OrganizationMember.organization_id == organization.id,
|
||
OrganizationMember.character_id == target_char.id
|
||
)
|
||
)
|
||
if existing_member.scalar_one_or_none():
|
||
logger.debug(f" ℹ️ 成员关系已存在: {character_name} -> {organization.id}")
|
||
continue
|
||
|
||
# 创建成员关系
|
||
member = OrganizationMember(
|
||
organization_id=organization.id,
|
||
character_id=target_char.id,
|
||
position=member_spec.get("position", "成员"),
|
||
rank=member_spec.get("rank", 0),
|
||
loyalty=member_spec.get("loyalty", 50),
|
||
status=member_spec.get("status", "active"),
|
||
joined_at=member_spec.get("joined_at"),
|
||
source="auto" # 标记为自动生成
|
||
)
|
||
|
||
db.add(member)
|
||
members.append(member)
|
||
|
||
logger.info(
|
||
f" ✅ 创建成员关系: {character_name} -> {organization.id} "
|
||
f"({member_spec.get('position', '成员')})"
|
||
)
|
||
|
||
except Exception as e:
|
||
logger.warning(f" ❌ 创建成员关系失败: {e}")
|
||
continue
|
||
|
||
# 更新组织成员数量
|
||
if members:
|
||
organization.member_count = (organization.member_count or 0) + len(members)
|
||
|
||
return members
|
||
|
||
|
||
# 全局实例缓存
|
||
_auto_organization_service_instance: Optional[AutoOrganizationService] = None
|
||
|
||
|
||
def get_auto_organization_service(ai_service: AIService) -> AutoOrganizationService:
|
||
"""获取自动组织服务实例（单例模式）"""
|
||
global _auto_organization_service_instance
|
||
if _auto_organization_service_instance is None:
|
||
_auto_organization_service_instance = AutoOrganizationService(ai_service)
|
||
return _auto_organization_service_instance |