feat: 在标题生成Agent中增加AI审核交互节点
1. 新增ApplyReviewSuggestionsNode节点 - 展示AI审查建议给用户 - 支持用户选择要应用的建议 - 支持交互/静默/程序化三种模式 2. 新增AdjustChaptersNode节点 - 根据用户选择的AI建议调整章节结构 - 完全基于AI的智能调整，无硬编码逻辑 - 安全的错误处理和回退机制 3. 更新工作流架构 - 新流程: ReviewStructure → ApplyReviewSuggestions → AdjustChapters → FinalizeChapters - 专业的单一职责原则，每个节点功能明确 - 完善的状态传递和错误处理 4. 修复AnalysisAgent集成问题 - 保留TocAgent的完整审查结果 - 正确使用调整后的章节结构 - 修复interaction_handler传递问题 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
parent
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@ -307,10 +307,18 @@ def generate_toc_with_agent_node(state: AnalysisAgentState) -> AnalysisAgentStat
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logger.info(f"目录生成完成: {len(chapters)}个章节")
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# 更新状态
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# 更新状态 - 使用TocAgent的完整结果
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state["preliminary_chapters"] = chapters
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state["technical_criteria"] = technical_criteria
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state["structure_review"] = {} # TocAgent已包含审查
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# 保留TocAgent的审查结果和其他状态
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if result.get("structure_review"):
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state["structure_review"] = result["structure_review"]
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if result.get("approved_suggestions"):
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state["approved_suggestions"] = result["approved_suggestions"]
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if result.get("adjusted_chapters"):
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state["adjusted_chapters"] = result["adjusted_chapters"]
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state["current_step"] = "generate_toc"
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state["progress"] = 0.85
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@ -335,12 +343,17 @@ def finalize_structure_node(state: AnalysisAgentState) -> AnalysisAgentState:
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preliminary_chapters = state["preliminary_chapters"]
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structure_review = state.get("structure_review", {})
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# 获取最终章节（优先使用调整后的章节）
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final_chapters = state.get("adjusted_chapters")
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if not final_chapters:
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final_chapters = state.get("final_chapters", preliminary_chapters)
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# 创建最终的标书结构
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bid_structure = BidStructure(
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project_name=f"标书项目-{Path(state['source_file']).stem}",
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scoring_criteria=technical_criteria,
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deviation_items=state["deviation_items"],
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chapters=preliminary_chapters, # 使用TocAgent生成的章节
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chapters=final_chapters, # 使用最终的章节（可能是调整后的）
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scoring_file=state["source_file"]
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)
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@ -14,6 +14,8 @@ from ...nodes.toc import (
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GenerateFirstLevelNode,
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GenerateSubChaptersNode,
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ReviewStructureNode,
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ApplyReviewSuggestionsNode,
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AdjustChaptersNode,
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FinalizeChaptersNode
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)
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from ...nodes.toc.base_mixins import WorkflowUtilsMixin
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@ -45,6 +47,8 @@ class TocAgentBuilder(AgentBuilder):
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.add_node(GenerateFirstLevelNode()) \
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.add_node(GenerateSubChaptersNode()) \
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.add_node(ReviewStructureNode()) \
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.add_node(ApplyReviewSuggestionsNode()) \
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.add_node(AdjustChaptersNode()) \
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.add_node(FinalizeChaptersNode())
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# 设置入口点
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@ -80,6 +84,18 @@ class TocAgentBuilder(AgentBuilder):
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self.add_conditional_edge(
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"review_structure",
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should_continue,
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{"continue": "apply_suggestions", "end": "END"}
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)
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self.add_conditional_edge(
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"apply_suggestions",
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should_continue,
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{"continue": "adjust_chapters", "end": "END"}
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)
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self.add_conditional_edge(
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"adjust_chapters",
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should_continue,
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{"continue": "finalize_chapters", "end": "END"}
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)
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@ -134,6 +150,9 @@ class TocAgent(BaseAgent, BaseAgentFactory):
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if template_file:
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initial_state["preset_template_file"] = template_file
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# 添加交互处理器到状态中
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initial_state["interaction_handler"] = self.builder.interaction_handler
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return await self.execute(initial_state)
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def generate_toc_sync(self,
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@ -8,6 +8,8 @@ from .group_criteria import GroupCriteriaNode
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from .generate_first_level import GenerateFirstLevelNode
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from .generate_sub_chapters import GenerateSubChaptersNode
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from .review_structure import ReviewStructureNode
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from .apply_suggestions import ApplyReviewSuggestionsNode
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from .adjust_chapters import AdjustChaptersNode
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from .finalize_chapters import FinalizeChaptersNode
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# 辅助组件
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@ -27,6 +29,8 @@ __all__ = [
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"GenerateFirstLevelNode",
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"GenerateSubChaptersNode",
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"ReviewStructureNode",
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"ApplyReviewSuggestionsNode",
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"AdjustChaptersNode",
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"FinalizeChaptersNode",
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# 辅助组件
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234
src/bidmaster/nodes/toc/adjust_chapters.py
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234
src/bidmaster/nodes/toc/adjust_chapters.py
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@ -0,0 +1,234 @@
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"""AI调整章节结构的节点
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专门负责根据用户选择的AI建议调整章节结构。
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"""
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import logging
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from typing import Dict, List, Any
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from ..base import BaseNode, NodeContext
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from ...tools.parser import DocumentChapter
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from .base_mixins import TocNodeBase
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logger = logging.getLogger(__name__)
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class AdjustChaptersNode(BaseNode, TocNodeBase):
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"""AI调整章节结构的节点"""
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@property
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def name(self) -> str:
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return "adjust_chapters"
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@property
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def description(self) -> str:
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return "AI调整章节结构"
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def execute(self, state: Dict[str, Any], context: NodeContext) -> Dict[str, Any]:
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"""执行AI章节调整"""
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return self.safe_execute(self._do_adjust_chapters, state, "AI调整章节结构")
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def _do_adjust_chapters(self, state: Dict[str, Any]) -> Dict[str, Any]:
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"""执行实际的AI章节调整逻辑"""
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# 验证必需字段
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required_fields = ["preliminary_chapters"]
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if not self.validate_required_fields(state, required_fields):
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raise ValueError("缺少初步章节数据")
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preliminary_chapters = state["preliminary_chapters"]
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approved_suggestions = state.get("approved_suggestions", [])
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if not approved_suggestions:
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# 没有用户选择的建议，直接返回原章节结构
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logger.info("用户未选择任何AI建议，保持原有章节结构")
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return self._update_state(state, adjusted_chapters=preliminary_chapters)
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# 使用AI根据建议调整章节结构
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adjusted_chapters = self._ai_adjust_chapters_with_suggestions(
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preliminary_chapters, approved_suggestions)
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self.log_step_info("adjust_chapters",
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f"AI根据{len(approved_suggestions)}条建议调整章节，生成{len(adjusted_chapters)}个章节")
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return self._update_state(state, adjusted_chapters=adjusted_chapters)
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def _ai_adjust_chapters_with_suggestions(self,
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preliminary_chapters: List[DocumentChapter],
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approved_suggestions: List[Dict[str, Any]]) -> List[DocumentChapter]:
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"""让AI根据用户选择的建议调整章节结构
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Args:
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preliminary_chapters: 原始章节结构
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approved_suggestions: 用户批准的AI建议
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Returns:
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AI调整后的章节结构
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"""
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try:
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# 构建给AI的提示词
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adjustment_prompt = self._build_adjustment_prompt(preliminary_chapters, approved_suggestions)
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# 调用LLM进行章节调整
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from .llm_helper import LLMHelper
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response = LLMHelper.call_llm_with_retry(adjustment_prompt)
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if not response:
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logger.error("AI章节调整失败，使用原始章节结构")
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return preliminary_chapters
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# 解析AI返回的调整结果
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adjusted_data = LLMHelper.parse_ai_json_response(response)
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adjusted_chapters = self._parse_adjusted_chapters(adjusted_data)
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if adjusted_chapters:
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logger.info(f"AI成功调整章节结构，共{len(adjusted_chapters)}个章节")
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return adjusted_chapters
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else:
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logger.warning("AI调整结果解析失败，使用原始章节结构")
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return preliminary_chapters
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except Exception as e:
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logger.error(f"AI章节调整过程失败: {e}")
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return preliminary_chapters
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def _build_adjustment_prompt(self,
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chapters: List[DocumentChapter],
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suggestions: List[Dict[str, Any]]) -> str:
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"""构建AI章节调整的提示词
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Args:
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chapters: 原始章节列表
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suggestions: 用户选择的建议
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Returns:
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给AI的提示词
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"""
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# 格式化原始章节结构
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chapters_text = self._format_chapters_for_prompt(chapters)
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# 格式化用户选择的建议
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suggestions_text = self._format_suggestions_for_prompt(suggestions)
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prompt = f"""
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请根据用户选择的建议调整以下标书章节结构。
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【当前章节结构】:
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{chapters_text}
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【用户选择应用的建议】:
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{suggestions_text}
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【调整要求】:
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1. 根据用户选择的建议对章节结构进行合理调整
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2. 保持章节的逻辑性和完整性
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3. 每个章节都要有明确的标题和层级
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4. 保持专业的标书格式
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返回JSON格式：
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{{
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"adjusted_chapters": [
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{{
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"id": "chapter_1_technical_solution",
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"title": "技术方案",
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"level": 1,
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"score": 0,
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"children": [
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{{
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"id": "chapter_2_1_architecture",
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"title": "系统架构设计",
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"level": 2,
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"score": 0,
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"children": []
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}}
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]
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}}
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]
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}}
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只返回JSON："""
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return prompt
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def _format_chapters_for_prompt(self, chapters: List[DocumentChapter]) -> str:
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"""格式化章节结构用于提示词"""
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lines = []
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for chapter in chapters:
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lines.append(f"{chapter.title} (level: {chapter.level})")
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# 递归显示子章节
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self._format_children_for_prompt(chapter.children, lines, 1)
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return "\n".join(lines)
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def _format_children_for_prompt(self, children: List[DocumentChapter], lines: List[str], indent: int):
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"""递归格式化子章节"""
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for child in children:
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indent_str = " " * indent
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lines.append(f"{indent_str}{child.title} (level: {child.level})")
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if child.children:
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self._format_children_for_prompt(child.children, lines, indent + 1)
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def _format_suggestions_for_prompt(self, suggestions: List[Dict[str, Any]]) -> str:
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"""格式化建议列表用于提示词"""
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lines = []
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for i, suggestion in enumerate(suggestions, 1):
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# 动态格式化建议内容，不预设字段
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suggestion_text = f"{i}. "
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for key, value in suggestion.items():
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if value:
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suggestion_text += f"{key}: {value}, "
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lines.append(suggestion_text.rstrip(", "))
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return "\n".join(lines)
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def _parse_adjusted_chapters(self, adjusted_data: Dict[str, Any]) -> List[DocumentChapter]:
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"""解析AI调整后的章节数据
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Args:
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adjusted_data: AI返回的调整数据
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Returns:
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解析后的章节列表
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"""
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try:
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chapters_data = adjusted_data.get("adjusted_chapters", [])
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chapters = []
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for chapter_data in chapters_data:
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chapter = self._create_chapter_from_data(chapter_data)
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if chapter:
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chapters.append(chapter)
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return chapters
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except Exception as e:
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logger.error(f"解析AI调整章节失败: {e}")
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return []
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def _create_chapter_from_data(self, chapter_data: Dict[str, Any]) -> DocumentChapter:
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"""从数据创建章节对象
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Args:
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chapter_data: 章节数据
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Returns:
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创建的章节对象
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"""
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try:
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chapter = DocumentChapter(
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id=chapter_data.get("id", ""),
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title=chapter_data.get("title", ""),
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level=chapter_data.get("level", 1),
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score=chapter_data.get("score", 0),
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children=[]
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)
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# 递归处理子章节
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children_data = chapter_data.get("children", [])
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for child_data in children_data:
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child_chapter = self._create_chapter_from_data(child_data)
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if child_chapter:
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chapter.children.append(child_chapter)
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return chapter
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except Exception as e:
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logger.error(f"创建章节对象失败: {e}")
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return None
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124
src/bidmaster/nodes/toc/apply_suggestions.py
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124
src/bidmaster/nodes/toc/apply_suggestions.py
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"""应用AI审查建议的节点
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让用户选择是否应用AI审查建议，完全依赖AI的分类结果，不做任何人为预设。
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"""
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import logging
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from typing import Dict, List, Any
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from ..base import BaseNode, NodeContext
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from .base_mixins import TocNodeBase
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logger = logging.getLogger(__name__)
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class ApplyReviewSuggestionsNode(BaseNode, TocNodeBase):
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"""应用AI审查建议的节点"""
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@property
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def name(self) -> str:
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return "apply_suggestions"
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@property
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def description(self) -> str:
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return "应用AI审查建议"
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def execute(self, state: Dict[str, Any], context: NodeContext) -> Dict[str, Any]:
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"""执行建议应用交互"""
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return self.safe_execute(self._do_apply_suggestions, state, "应用AI审查建议")
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def _do_apply_suggestions(self, state: Dict[str, Any]) -> Dict[str, Any]:
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"""执行实际的建议应用逻辑"""
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logger.info("🔥🔥🔥 ApplyReviewSuggestionsNode 正在执行！！！")
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# 验证必需字段
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required_fields = ["preliminary_chapters", "structure_review"]
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if not self.validate_required_fields(state, required_fields):
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raise ValueError("缺少章节数据或审查结果")
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structure_review = state["structure_review"]
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# 获取交互处理器
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interaction_handler = state.get("interaction_handler")
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if not interaction_handler:
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# 如果没有交互处理器，跳过用户选择，不应用任何建议
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logger.warning("未找到交互处理器，跳过建议应用")
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approved_suggestions = []
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else:
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# 用户选择要应用的建议
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approved_suggestions = self._get_user_approval(structure_review, interaction_handler)
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# 将用户选择的建议保存到状态中，供FinalizeChaptersNode使用
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self.log_step_info("apply_suggestions",
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f"用户选择应用{len(approved_suggestions)}条AI建议")
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return self._update_state(state, approved_suggestions=approved_suggestions)
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def _get_user_approval(self, structure_review: Dict[str, Any],
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interaction_handler) -> List[Dict[str, Any]]:
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"""获取用户对AI建议的批准
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Args:
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structure_review: AI审查结果（完全使用原始数据）
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interaction_handler: 交互处理器
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Returns:
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用户批准的建议列表
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"""
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# 直接使用AI返回的原始数据，不做任何预设
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suggestions = structure_review.get("suggestions", [])
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overall_assessment = structure_review.get("overall_assessment", "")
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optimization_score = structure_review.get("optimization_score", "")
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if not suggestions:
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logger.info("AI未提供优化建议")
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return []
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try:
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# 展示AI的完整评估结果
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assessment_text = f"AI审查评估:\n"
|
||||
if overall_assessment:
|
||||
assessment_text += f"总体评价: {overall_assessment}\n"
|
||||
if optimization_score:
|
||||
assessment_text += f"优化评分: {optimization_score}\n"
|
||||
assessment_text += f"AI识别出{len(suggestions)}条建议"
|
||||
|
||||
# 询问用户是否要查看并选择建议
|
||||
view_suggestions = interaction_handler(
|
||||
interaction_type="confirm",
|
||||
prompt=f"{assessment_text}\n是否查看具体建议并选择应用？",
|
||||
default=True,
|
||||
key="view_ai_suggestions"
|
||||
)
|
||||
|
||||
if not view_suggestions:
|
||||
return []
|
||||
|
||||
# 逐个展示AI建议，让用户选择
|
||||
approved_suggestions = []
|
||||
for i, suggestion in enumerate(suggestions, 1):
|
||||
# 完全使用AI提供的原始建议内容，不做任何格式化预设
|
||||
suggestion_text = f"AI建议{i}:\n"
|
||||
|
||||
# 动态展示AI建议中的所有字段，不预设字段名
|
||||
for key, value in suggestion.items():
|
||||
if value: # 只显示有值的字段
|
||||
suggestion_text += f"{key}: {value}\n"
|
||||
|
||||
# 让用户选择是否应用这条AI建议
|
||||
apply_suggestion = interaction_handler(
|
||||
interaction_type="confirm",
|
||||
prompt=f"{suggestion_text}是否应用此AI建议？",
|
||||
default=False, # 默认不应用，让用户主动选择
|
||||
key=f"apply_ai_suggestion_{i}"
|
||||
)
|
||||
|
||||
if apply_suggestion:
|
||||
approved_suggestions.append(suggestion)
|
||||
|
||||
return approved_suggestions
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"获取用户建议选择失败: {e}")
|
||||
# 出错时不应用任何建议，保持安全
|
||||
return []
|
||||
@ -153,9 +153,9 @@ class WorkflowUtilsMixin:
|
||||
Returns:
|
||||
"continue" 如果应该继续，"end" 如果应该停止
|
||||
"""
|
||||
if state.get("error") or not state.get("should_continue", True):
|
||||
return "end"
|
||||
return "continue"
|
||||
result = "end" if (state.get("error") or not state.get("should_continue", True)) else "continue"
|
||||
logger.info(f"🔥🔥🔥 should_continue_workflow: {result}, error={state.get('error')}, should_continue={state.get('should_continue', True)}")
|
||||
return result
|
||||
|
||||
@staticmethod
|
||||
def validate_required_fields(state: Dict[str, Any],
|
||||
|
||||
@ -35,11 +35,11 @@ class FinalizeChaptersNode(BaseNode, TocNodeBase):
|
||||
if not self.validate_required_fields(state, ["preliminary_chapters"]):
|
||||
raise ValueError("缺少初步章节数据")
|
||||
|
||||
preliminary_chapters = state["preliminary_chapters"]
|
||||
structure_review = state.get("structure_review", {})
|
||||
# 获取调整后的章节（如果有）或原始章节
|
||||
adjusted_chapters = state.get("adjusted_chapters", state["preliminary_chapters"])
|
||||
|
||||
# 应用审查建议并最终确定
|
||||
final_chapters = self._finalize_with_review(preliminary_chapters, structure_review)
|
||||
# 应用最终确定逻辑（主要是确保标准章节存在）
|
||||
final_chapters = adjusted_chapters
|
||||
|
||||
# 确保标准章节存在
|
||||
final_chapters = self._ensure_standard_chapters(final_chapters)
|
||||
@ -50,47 +50,6 @@ class FinalizeChaptersNode(BaseNode, TocNodeBase):
|
||||
final_chapters=final_chapters,
|
||||
should_continue=False)
|
||||
|
||||
def _finalize_with_review(self,
|
||||
preliminary_chapters: List[DocumentChapter],
|
||||
structure_review: Dict[str, Any]) -> List[DocumentChapter]:
|
||||
"""根据审查结果最终确定章节
|
||||
|
||||
Args:
|
||||
preliminary_chapters: 初步章节列表
|
||||
structure_review: AI审查结果
|
||||
|
||||
Returns:
|
||||
最终章节列表
|
||||
"""
|
||||
final_chapters = preliminary_chapters.copy()
|
||||
|
||||
# 应用高优先级建议
|
||||
suggestions = structure_review.get("suggestions", [])
|
||||
high_priority_suggestions = [
|
||||
s for s in suggestions
|
||||
if s.get("priority") == "high"
|
||||
]
|
||||
|
||||
for suggestion in high_priority_suggestions:
|
||||
suggestion_type = suggestion.get("type", "")
|
||||
description = suggestion.get("description", "")
|
||||
|
||||
if suggestion_type == "add":
|
||||
logger.info(f"应用高优先级建议-添加: {description}")
|
||||
# 这里可以根据具体建议内容添加章节
|
||||
# 当前版本保持简单，只记录日志
|
||||
|
||||
elif suggestion_type == "modify":
|
||||
logger.info(f"应用高优先级建议-修改: {description}")
|
||||
# 这里可以根据具体建议内容修改章节
|
||||
# 当前版本保持简单，只记录日志
|
||||
|
||||
elif suggestion_type == "reorder":
|
||||
logger.info(f"应用高优先级建议-重排: {description}")
|
||||
# 这里可以根据具体建议内容重新排序
|
||||
# 当前版本保持简单，只记录日志
|
||||
|
||||
return final_chapters
|
||||
|
||||
def _ensure_standard_chapters(self, chapters: List[DocumentChapter]) -> List[DocumentChapter]:
|
||||
"""确保包含标准章节
|
||||
|
||||
Loading…
Reference in New Issue
Block a user