马一丁
901 lines
34 KiB
Python
901 lines
34 KiB
Python
"""
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Report Agent主类
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整合所有模块，实现完整的报告生成流程
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"""
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import json
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import os
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from pathlib import Path
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from uuid import uuid4
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from datetime import datetime
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from typing import Optional, Dict, Any, List, Callable
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from loguru import logger
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from .core import (
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ChapterStorage,
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DocumentComposer,
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TemplateSection,
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parse_template_sections,
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)
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from .ir import IRValidator
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from .llms import LLMClient
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from .nodes import (
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TemplateSelectionNode,
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ChapterGenerationNode,
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ChapterJsonParseError,
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DocumentLayoutNode,
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WordBudgetNode,
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)
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from .renderers import HTMLRenderer
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from .state import ReportState
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from .utils.config import settings, Settings
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class FileCountBaseline:
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"""文件数量基准管理器"""
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def __init__(self):
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"""在初始化阶段加载或创建文件数量基准快照"""
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self.baseline_file = 'logs/report_baseline.json'
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self.baseline_data = self._load_baseline()
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def _load_baseline(self) -> Dict[str, int]:
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"""加载基准数据"""
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try:
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if os.path.exists(self.baseline_file):
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with open(self.baseline_file, 'r', encoding='utf-8') as f:
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return json.load(f)
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except Exception as e:
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logger.exception(f"加载基准数据失败: {e}")
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return {}
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def _save_baseline(self):
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"""保存基准数据"""
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try:
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os.makedirs(os.path.dirname(self.baseline_file), exist_ok=True)
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with open(self.baseline_file, 'w', encoding='utf-8') as f:
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json.dump(self.baseline_data, f, ensure_ascii=False, indent=2)
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except Exception as e:
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logger.exception(f"保存基准数据失败: {e}")
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def initialize_baseline(self, directories: Dict[str, str]) -> Dict[str, int]:
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"""初始化文件数量基准"""
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current_counts = {}
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for engine, directory in directories.items():
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if os.path.exists(directory):
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md_files = [f for f in os.listdir(directory) if f.endswith('.md')]
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current_counts[engine] = len(md_files)
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else:
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current_counts[engine] = 0
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# 保存基准数据
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self.baseline_data = current_counts.copy()
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self._save_baseline()
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logger.info(f"文件数量基准已初始化: {current_counts}")
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return current_counts
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def check_new_files(self, directories: Dict[str, str]) -> Dict[str, Any]:
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"""检查是否有新文件"""
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current_counts = {}
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new_files_found = {}
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all_have_new = True
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for engine, directory in directories.items():
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if os.path.exists(directory):
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md_files = [f for f in os.listdir(directory) if f.endswith('.md')]
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current_counts[engine] = len(md_files)
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baseline_count = self.baseline_data.get(engine, 0)
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if current_counts[engine] > baseline_count:
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new_files_found[engine] = current_counts[engine] - baseline_count
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else:
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new_files_found[engine] = 0
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all_have_new = False
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else:
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current_counts[engine] = 0
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new_files_found[engine] = 0
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all_have_new = False
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return {
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'ready': all_have_new,
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'baseline_counts': self.baseline_data,
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'current_counts': current_counts,
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'new_files_found': new_files_found,
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'missing_engines': [engine for engine, count in new_files_found.items() if count == 0]
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}
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def get_latest_files(self, directories: Dict[str, str]) -> Dict[str, str]:
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"""获取每个目录的最新文件"""
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latest_files = {}
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for engine, directory in directories.items():
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if os.path.exists(directory):
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md_files = [f for f in os.listdir(directory) if f.endswith('.md')]
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if md_files:
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latest_file = max(md_files, key=lambda x: os.path.getmtime(os.path.join(directory, x)))
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latest_files[engine] = os.path.join(directory, latest_file)
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return latest_files
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class ReportAgent:
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"""Report Agent主类"""
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def __init__(self, config: Optional[Settings] = None):
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"""
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初始化Report Agent
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Args:
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config: 配置对象，如果不提供则自动加载
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"""
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# 加载配置
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self.config = config or settings
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# 初始化文件基准管理器
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self.file_baseline = FileCountBaseline()
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# 初始化日志
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self._setup_logging()
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# 初始化LLM客户端
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self.llm_client = self._initialize_llm()
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# 初始化章级存储/校验/渲染组件
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self.chapter_storage = ChapterStorage(self.config.CHAPTER_OUTPUT_DIR)
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self.document_composer = DocumentComposer()
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self.validator = IRValidator()
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self.renderer = HTMLRenderer()
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# 初始化节点
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self._initialize_nodes()
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# 初始化文件数量基准
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self._initialize_file_baseline()
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# 状态
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self.state = ReportState()
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# 确保输出目录存在
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os.makedirs(self.config.OUTPUT_DIR, exist_ok=True)
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os.makedirs(self.config.DOCUMENT_IR_OUTPUT_DIR, exist_ok=True)
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logger.info("Report Agent已初始化")
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logger.info(f"使用LLM: {self.llm_client.get_model_info()}")
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def _setup_logging(self):
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"""设置日志"""
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# 确保日志目录存在
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log_dir = os.path.dirname(self.config.LOG_FILE)
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os.makedirs(log_dir, exist_ok=True)
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# 创建专用的logger，避免与其他模块冲突
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logger.add(self.config.LOG_FILE, level="INFO")
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def _initialize_file_baseline(self):
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"""初始化文件数量基准"""
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directories = {
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'insight': 'insight_engine_streamlit_reports',
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'media': 'media_engine_streamlit_reports',
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'query': 'query_engine_streamlit_reports'
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}
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self.file_baseline.initialize_baseline(directories)
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def _initialize_llm(self) -> LLMClient:
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"""初始化LLM客户端"""
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return LLMClient(
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api_key=self.config.REPORT_ENGINE_API_KEY,
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model_name=self.config.REPORT_ENGINE_MODEL_NAME,
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base_url=self.config.REPORT_ENGINE_BASE_URL,
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)
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def _initialize_nodes(self):
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"""初始化处理节点"""
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self.template_selection_node = TemplateSelectionNode(
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self.llm_client,
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self.config.TEMPLATE_DIR
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)
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self.document_layout_node = DocumentLayoutNode(self.llm_client)
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self.word_budget_node = WordBudgetNode(self.llm_client)
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self.chapter_generation_node = ChapterGenerationNode(
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self.llm_client,
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self.validator,
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self.chapter_storage
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)
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def generate_report(self, query: str, reports: List[Any], forum_logs: str = "",
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custom_template: str = "", save_report: bool = True,
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stream_handler: Optional[Callable[[str, Dict[str, Any]], None]] = None) -> str:
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"""
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生成综合报告（章节JSON → IR → HTML）
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Returns:
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dict: HTML内容以及保存的文件路径信息
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"""
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start_time = datetime.now()
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report_id = f"report-{uuid4().hex[:8]}"
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self.state.task_id = report_id
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self.state.query = query
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self.state.metadata.query = query
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self.state.mark_processing()
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normalized_reports = self._normalize_reports(reports)
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def emit(event_type: str, payload: Dict[str, Any]):
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"""面向Report Engine流通道的事件分发器，保证错误不外泄。"""
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if not stream_handler:
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return
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try:
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stream_handler(event_type, payload)
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except Exception as callback_error: # pragma: no cover - 仅记录
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logger.warning(f"流式事件回调失败: {callback_error}")
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logger.info(f"开始生成报告 {report_id}: {query}")
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logger.info(f"输入数据 - 报告数量: {len(reports)}, 论坛日志长度: {len(str(forum_logs))}")
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emit('stage', {'stage': 'agent_start', 'report_id': report_id, 'query': query})
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try:
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template_result = self._select_template(query, reports, forum_logs, custom_template)
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self.state.metadata.template_used = template_result.get('template_name', '')
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emit('stage', {
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'stage': 'template_selected',
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'template': template_result.get('template_name'),
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'reason': template_result.get('selection_reason')
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})
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sections = self._slice_template(template_result.get('template_content', ''))
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if not sections:
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raise ValueError("模板无法解析出章节，请检查模板内容。")
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emit('stage', {'stage': 'template_sliced', 'section_count': len(sections)})
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template_text = template_result.get('template_content', '')
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template_overview = self._build_template_overview(template_text, sections)
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# 基于模板骨架+三引擎内容设计全局标题、目录与视觉主题
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layout_design = self.document_layout_node.run(
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sections,
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template_text,
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normalized_reports,
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forum_logs,
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query,
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template_overview,
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)
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emit('stage', {
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'stage': 'layout_designed',
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'title': layout_design.get('title'),
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'toc': layout_design.get('tocTitle')
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})
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# 使用刚生成的设计稿对全书进行篇幅规划，约束各章字数与重点
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word_plan = self.word_budget_node.run(
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sections,
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layout_design,
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normalized_reports,
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forum_logs,
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query,
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template_overview,
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)
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emit('stage', {
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'stage': 'word_plan_ready',
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'chapter_targets': len(word_plan.get('chapters', []))
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})
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# 记录每个章节的目标字数/强调点，后续传给章节LLM
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chapter_targets = {
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entry.get("chapterId"): entry
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for entry in word_plan.get("chapters", [])
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if entry.get("chapterId")
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}
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generation_context = self._build_generation_context(
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query,
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normalized_reports,
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forum_logs,
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template_result,
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layout_design,
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chapter_targets,
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word_plan,
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template_overview,
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)
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# IR/渲染需要的全局元数据，带上设计稿给出的标题/主题/目录/篇幅信息
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manifest_meta = {
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"query": query,
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"title": layout_design.get("title") or (f"{query} - 舆情洞察报告" if query else template_result.get("template_name")),
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"subtitle": layout_design.get("subtitle"),
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"tagline": layout_design.get("tagline"),
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"templateName": template_result.get("template_name"),
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"selectionReason": template_result.get("selection_reason"),
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"themeTokens": generation_context.get("theme_tokens", {}),
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"toc": {
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"depth": 3,
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"autoNumbering": True,
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"title": layout_design.get("tocTitle") or "目录",
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},
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"hero": layout_design.get("hero"),
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"layoutNotes": layout_design.get("layoutNotes"),
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"wordPlan": {
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"totalWords": word_plan.get("totalWords"),
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"globalGuidelines": word_plan.get("globalGuidelines"),
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},
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"templateOverview": template_overview,
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}
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if layout_design.get("themeTokens"):
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manifest_meta["themeTokens"] = layout_design["themeTokens"]
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if layout_design.get("tocPlan"):
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manifest_meta["toc"]["customEntries"] = layout_design["tocPlan"]
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# 初始化章节输出目录并写入manifest，方便流式存盘
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run_dir = self.chapter_storage.start_session(report_id, manifest_meta)
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self._persist_planning_artifacts(run_dir, layout_design, word_plan, template_overview)
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emit('stage', {'stage': 'storage_ready', 'run_dir': str(run_dir)})
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chapters = []
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chapter_max_attempts = max(1, self.config.CHAPTER_JSON_MAX_ATTEMPTS)
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for section in sections:
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logger.info(f"生成章节: {section.title}")
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emit('chapter_status', {
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'chapterId': section.chapter_id,
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'title': section.title,
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'status': 'running'
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})
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# 章节流式回调：把LLM返回的delta透传给SSE，便于前端实时渲染
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def chunk_callback(delta: str, meta: Dict[str, Any], section_ref: TemplateSection = section):
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emit('chapter_chunk', {
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'chapterId': meta.get('chapterId') or section_ref.chapter_id,
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'title': meta.get('title') or section_ref.title,
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'delta': delta
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})
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chapter_payload: Dict[str, Any] | None = None
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attempt = 1
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while attempt <= chapter_max_attempts:
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try:
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chapter_payload = self.chapter_generation_node.run(
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section,
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generation_context,
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run_dir,
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stream_callback=chunk_callback
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)
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break
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except ChapterJsonParseError as parse_error:
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logger.warning(
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"章节 %s JSON解析失败（第 %s/%s 次尝试）: %s",
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section.title,
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attempt,
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chapter_max_attempts,
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parse_error,
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)
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emit('chapter_status', {
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'chapterId': section.chapter_id,
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'title': section.title,
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'status': 'retrying' if attempt < chapter_max_attempts else 'error',
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'attempt': attempt,
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'error': str(parse_error),
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})
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if attempt >= chapter_max_attempts:
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raise
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attempt += 1
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continue
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except Exception as chapter_error:
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if not self._should_retry_inappropriate_content_error(chapter_error):
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raise
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logger.warning(
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"章节 %s 触发内容安全限制（第 %s/%s 次尝试），准备重新生成: %s",
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section.title,
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attempt,
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chapter_max_attempts,
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chapter_error,
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)
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emit('chapter_status', {
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'chapterId': section.chapter_id,
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'title': section.title,
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'status': 'retrying' if attempt < chapter_max_attempts else 'error',
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'attempt': attempt,
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'error': str(chapter_error),
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'reason': 'content_filter'
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})
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if attempt >= chapter_max_attempts:
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raise
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attempt += 1
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continue
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if chapter_payload is None:
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raise ChapterJsonParseError(
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f"{section.title} 章节JSON在 {chapter_max_attempts} 次尝试后仍无法解析"
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)
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chapters.append(chapter_payload)
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emit('chapter_status', {
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'chapterId': section.chapter_id,
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'title': section.title,
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'status': 'completed',
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'attempt': attempt,
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})
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document_ir = self.document_composer.build_document(
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report_id,
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manifest_meta,
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chapters
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)
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emit('stage', {'stage': 'chapters_compiled', 'chapter_count': len(chapters)})
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html_report = self.renderer.render(document_ir)
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emit('stage', {'stage': 'html_rendered', 'html_length': len(html_report)})
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self.state.html_content = html_report
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self.state.mark_completed()
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saved_files = {}
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if save_report:
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saved_files = self._save_report(html_report, document_ir, report_id)
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emit('stage', {'stage': 'report_saved', 'files': saved_files})
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generation_time = (datetime.now() - start_time).total_seconds()
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self.state.metadata.generation_time = generation_time
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logger.info(f"报告生成完成，耗时: {generation_time:.2f} 秒")
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emit('metrics', {'generation_seconds': generation_time})
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return {
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'html_content': html_report,
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'report_id': report_id,
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**saved_files
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}
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except Exception as e:
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self.state.mark_failed(str(e))
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logger.exception(f"报告生成过程中发生错误: {str(e)}")
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emit('error', {'stage': 'agent_failed', 'message': str(e)})
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raise
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def _select_template(self, query: str, reports: List[Any], forum_logs: str, custom_template: str):
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"""选择报告模板"""
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logger.info("选择报告模板...")
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# 如果用户提供了自定义模板，直接使用
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if custom_template:
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logger.info("使用用户自定义模板")
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return {
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'template_name': 'custom',
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'template_content': custom_template,
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'selection_reason': '用户指定的自定义模板'
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}
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template_input = {
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'query': query,
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'reports': reports,
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'forum_logs': forum_logs
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}
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try:
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template_result = self.template_selection_node.run(template_input)
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# 更新状态
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self.state.metadata.template_used = template_result['template_name']
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logger.info(f"选择模板: {template_result['template_name']}")
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logger.info(f"选择理由: {template_result['selection_reason']}")
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return template_result
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except Exception as e:
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logger.error(f"模板选择失败，使用默认模板: {str(e)}")
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# 直接使用备用模板
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fallback_template = {
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'template_name': '社会公共热点事件分析报告模板',
|
||
'template_content': self._get_fallback_template_content(),
|
||
'selection_reason': '模板选择失败，使用默认社会热点事件分析模板'
|
||
}
|
||
self.state.metadata.template_used = fallback_template['template_name']
|
||
return fallback_template
|
||
|
||
def _slice_template(self, template_markdown: str) -> List[TemplateSection]:
|
||
"""将模板切成章节列表，若为空则提供fallback"""
|
||
sections = parse_template_sections(template_markdown)
|
||
if sections:
|
||
return sections
|
||
logger.warning("模板未解析出章节，使用默认章节骨架")
|
||
fallback = TemplateSection(
|
||
title="1.0 综合分析",
|
||
slug="section-1-0",
|
||
order=10,
|
||
depth=1,
|
||
raw_title="1.0 综合分析",
|
||
number="1.0",
|
||
chapter_id="S1",
|
||
outline=["1.1 摘要", "1.2 数据亮点", "1.3 风险提示"],
|
||
)
|
||
return [fallback]
|
||
|
||
def _build_generation_context(
|
||
self,
|
||
query: str,
|
||
reports: Dict[str, str],
|
||
forum_logs: str,
|
||
template_result: Dict[str, Any],
|
||
layout_design: Dict[str, Any],
|
||
chapter_directives: Dict[str, Any],
|
||
word_plan: Dict[str, Any],
|
||
template_overview: Dict[str, Any],
|
||
) -> Dict[str, Any]:
|
||
"""
|
||
构造章节生成所需的共享上下文
|
||
|
||
这里把“全书设计稿”“章节篇幅约束”“统一主题配色”等一次性整理好，
|
||
避免每次章节调用都重新拼装上下文。
|
||
"""
|
||
# 优先使用设计稿定制的主题色，否则退回默认主题
|
||
theme_tokens = (
|
||
layout_design.get("themeTokens")
|
||
if layout_design else None
|
||
) or self._default_theme_tokens()
|
||
|
||
return {
|
||
"query": query,
|
||
"template_name": template_result.get("template_name"),
|
||
"reports": reports,
|
||
"forum_logs": self._stringify(forum_logs),
|
||
"theme_tokens": theme_tokens,
|
||
"style_directives": {
|
||
"tone": "analytical",
|
||
"audience": "executive",
|
||
"language": "zh-CN",
|
||
},
|
||
"data_bundles": [],
|
||
"max_tokens": min(self.config.MAX_CONTENT_LENGTH, 6000),
|
||
"layout": layout_design or {},
|
||
"template_overview": template_overview or {},
|
||
"chapter_directives": chapter_directives or {},
|
||
"word_plan": word_plan or {},
|
||
}
|
||
|
||
def _normalize_reports(self, reports: List[Any]) -> Dict[str, str]:
|
||
"""将不同来源的报告统一转为字符串"""
|
||
keys = ["query_engine", "media_engine", "insight_engine"]
|
||
normalized: Dict[str, str] = {}
|
||
for idx, key in enumerate(keys):
|
||
value = reports[idx] if idx < len(reports) else ""
|
||
normalized[key] = self._stringify(value)
|
||
return normalized
|
||
|
||
def _should_retry_inappropriate_content_error(self, error: Exception) -> bool:
|
||
"""
|
||
判断LLM异常是否由内容安全/不当内容导致，满足时允许重新生成整章。
|
||
"""
|
||
message = str(error) if error else ""
|
||
if not message:
|
||
return False
|
||
normalized = message.lower()
|
||
keywords = [
|
||
"inappropriate content",
|
||
"content violation",
|
||
"content moderation",
|
||
"model-studio/error-code",
|
||
]
|
||
return any(keyword in normalized for keyword in keywords)
|
||
|
||
def _stringify(self, value: Any) -> str:
|
||
"""安全地将对象转成字符串"""
|
||
if value is None:
|
||
return ""
|
||
if isinstance(value, str):
|
||
return value
|
||
if isinstance(value, (dict, list)):
|
||
try:
|
||
return json.dumps(value, ensure_ascii=False, indent=2)
|
||
except Exception:
|
||
return str(value)
|
||
return str(value)
|
||
|
||
def _default_theme_tokens(self) -> Dict[str, Any]:
|
||
"""默认的主题变量，供渲染器/LLM共用"""
|
||
return {
|
||
"colors": {
|
||
"bg": "#f8f9fa",
|
||
"text": "#212529",
|
||
"primary": "#007bff",
|
||
"secondary": "#6c757d",
|
||
"card": "#ffffff",
|
||
"border": "#dee2e6",
|
||
"accent1": "#17a2b8",
|
||
"accent2": "#28a745",
|
||
"accent3": "#ffc107",
|
||
"accent4": "#dc3545",
|
||
},
|
||
"fonts": {
|
||
"body": "-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif",
|
||
"heading": "'Source Han Sans SC', 'PingFang SC', 'Microsoft YaHei', sans-serif",
|
||
},
|
||
"spacing": {"container": "1200px", "gutter": "24px"},
|
||
"vars": {
|
||
"header_sticky": True,
|
||
"toc_depth": 3,
|
||
"enable_dark_mode": True,
|
||
},
|
||
}
|
||
|
||
def _build_template_overview(
|
||
self,
|
||
template_markdown: str,
|
||
sections: List[TemplateSection],
|
||
) -> Dict[str, Any]:
|
||
"""提取模板标题与章节骨架，供设计/篇幅规划统一引用"""
|
||
fallback_title = sections[0].title if sections else ""
|
||
overview = {
|
||
"title": self._extract_template_title(template_markdown, fallback_title),
|
||
"chapters": [],
|
||
}
|
||
for section in sections:
|
||
overview["chapters"].append(
|
||
{
|
||
"chapterId": section.chapter_id,
|
||
"title": section.title,
|
||
"rawTitle": section.raw_title,
|
||
"number": section.number,
|
||
"slug": section.slug,
|
||
"order": section.order,
|
||
"depth": section.depth,
|
||
"outline": section.outline,
|
||
}
|
||
)
|
||
return overview
|
||
|
||
@staticmethod
|
||
def _extract_template_title(template_markdown: str, fallback: str = "") -> str:
|
||
"""尝试从Markdown中提取首个标题，找不到时使用fallback"""
|
||
for line in template_markdown.splitlines():
|
||
stripped = line.strip()
|
||
if not stripped:
|
||
continue
|
||
if stripped.startswith("#"):
|
||
return stripped.lstrip("#").strip()
|
||
if stripped:
|
||
fallback = fallback or stripped
|
||
return fallback or "智能舆情分析报告"
|
||
|
||
def _get_fallback_template_content(self) -> str:
|
||
"""获取备用模板内容"""
|
||
return """# 社会公共热点事件分析报告
|
||
|
||
## 执行摘要
|
||
本报告针对当前社会热点事件进行综合分析，整合了多方信息源的观点和数据。
|
||
|
||
## 事件概况
|
||
### 基本信息
|
||
- 事件性质：{event_nature}
|
||
- 发生时间：{event_time}
|
||
- 涉及范围：{event_scope}
|
||
|
||
## 舆情态势分析
|
||
### 整体趋势
|
||
{sentiment_analysis}
|
||
|
||
### 主要观点分布
|
||
{opinion_distribution}
|
||
|
||
## 媒体报道分析
|
||
### 主流媒体态度
|
||
{media_analysis}
|
||
|
||
### 报道重点
|
||
{report_focus}
|
||
|
||
## 社会影响评估
|
||
### 直接影响
|
||
{direct_impact}
|
||
|
||
### 潜在影响
|
||
{potential_impact}
|
||
|
||
## 应对建议
|
||
### 即时措施
|
||
{immediate_actions}
|
||
|
||
### 长期策略
|
||
{long_term_strategy}
|
||
|
||
## 结论与展望
|
||
{conclusion}
|
||
|
||
---
|
||
*报告类型：社会公共热点事件分析*
|
||
*生成时间：{generation_time}*
|
||
"""
|
||
|
||
def _save_report(self, html_content: str, document_ir: Dict[str, Any], report_id: str) -> Dict[str, Any]:
|
||
"""保存HTML与IR到文件并返回路径信息"""
|
||
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
|
||
query_safe = "".join(
|
||
c for c in self.state.metadata.query if c.isalnum() or c in (" ", "-", "_")
|
||
).rstrip()
|
||
query_safe = query_safe.replace(" ", "_")[:30] or "report"
|
||
|
||
html_filename = f"final_report_{query_safe}_{timestamp}.html"
|
||
html_path = Path(self.config.OUTPUT_DIR) / html_filename
|
||
html_path.write_text(html_content, encoding="utf-8")
|
||
html_abs = str(html_path.resolve())
|
||
html_rel = os.path.relpath(html_abs, os.getcwd())
|
||
|
||
ir_path = self._save_document_ir(document_ir, query_safe, timestamp)
|
||
ir_abs = str(ir_path.resolve())
|
||
ir_rel = os.path.relpath(ir_abs, os.getcwd())
|
||
|
||
state_filename = f"report_state_{query_safe}_{timestamp}.json"
|
||
state_path = Path(self.config.OUTPUT_DIR) / state_filename
|
||
self.state.save_to_file(str(state_path))
|
||
state_abs = str(state_path.resolve())
|
||
state_rel = os.path.relpath(state_abs, os.getcwd())
|
||
|
||
logger.info(f"HTML报告已保存: {html_path}")
|
||
logger.info(f"Document IR已保存: {ir_path}")
|
||
logger.info(f"状态已保存到: {state_path}")
|
||
|
||
return {
|
||
'report_filename': html_filename,
|
||
'report_filepath': html_abs,
|
||
'report_relative_path': html_rel,
|
||
'ir_filename': ir_path.name,
|
||
'ir_filepath': ir_abs,
|
||
'ir_relative_path': ir_rel,
|
||
'state_filename': state_filename,
|
||
'state_filepath': state_abs,
|
||
'state_relative_path': state_rel,
|
||
}
|
||
|
||
def _save_document_ir(self, document_ir: Dict[str, Any], query_safe: str, timestamp: str) -> Path:
|
||
"""将整本IR写入独立目录"""
|
||
filename = f"report_ir_{query_safe}_{timestamp}.json"
|
||
ir_path = Path(self.config.DOCUMENT_IR_OUTPUT_DIR) / filename
|
||
ir_path.write_text(
|
||
json.dumps(document_ir, ensure_ascii=False, indent=2),
|
||
encoding="utf-8",
|
||
)
|
||
return ir_path
|
||
|
||
def _persist_planning_artifacts(
|
||
self,
|
||
run_dir: Path,
|
||
layout_design: Dict[str, Any],
|
||
word_plan: Dict[str, Any],
|
||
template_overview: Dict[str, Any],
|
||
):
|
||
"""
|
||
将文档设计稿、篇幅规划与模板概览另存成JSON
|
||
|
||
方便在调试或复盘时快速定位：标题/目录/主题是如何确定的、
|
||
字数分配有什么要求，以便后续人工校正。
|
||
"""
|
||
artifacts = {
|
||
"document_layout": layout_design,
|
||
"word_plan": word_plan,
|
||
"template_overview": template_overview,
|
||
}
|
||
for name, payload in artifacts.items():
|
||
if not payload:
|
||
continue
|
||
path = run_dir / f"{name}.json"
|
||
try:
|
||
path.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
|
||
except Exception as exc:
|
||
logger.warning(f"写入{name}失败: {exc}")
|
||
|
||
def get_progress_summary(self) -> Dict[str, Any]:
|
||
"""获取进度摘要"""
|
||
return self.state.to_dict()
|
||
|
||
def load_state(self, filepath: str):
|
||
"""从文件加载状态"""
|
||
self.state = ReportState.load_from_file(filepath)
|
||
logger.info(f"状态已从 {filepath} 加载")
|
||
|
||
def save_state(self, filepath: str):
|
||
"""保存状态到文件"""
|
||
self.state.save_to_file(filepath)
|
||
logger.info(f"状态已保存到 {filepath}")
|
||
|
||
def check_input_files(self, insight_dir: str, media_dir: str, query_dir: str, forum_log_path: str) -> Dict[str, Any]:
|
||
"""
|
||
检查输入文件是否准备就绪（基于文件数量增加）
|
||
|
||
Args:
|
||
insight_dir: InsightEngine报告目录
|
||
media_dir: MediaEngine报告目录
|
||
query_dir: QueryEngine报告目录
|
||
forum_log_path: 论坛日志文件路径
|
||
|
||
Returns:
|
||
检查结果字典
|
||
"""
|
||
# 检查各个报告目录的文件数量变化
|
||
directories = {
|
||
'insight': insight_dir,
|
||
'media': media_dir,
|
||
'query': query_dir
|
||
}
|
||
|
||
# 使用文件基准管理器检查新文件
|
||
check_result = self.file_baseline.check_new_files(directories)
|
||
|
||
# 检查论坛日志
|
||
forum_ready = os.path.exists(forum_log_path)
|
||
|
||
# 构建返回结果
|
||
result = {
|
||
'ready': check_result['ready'] and forum_ready,
|
||
'baseline_counts': check_result['baseline_counts'],
|
||
'current_counts': check_result['current_counts'],
|
||
'new_files_found': check_result['new_files_found'],
|
||
'missing_files': [],
|
||
'files_found': [],
|
||
'latest_files': {}
|
||
}
|
||
|
||
# 构建详细信息
|
||
for engine, new_count in check_result['new_files_found'].items():
|
||
current_count = check_result['current_counts'][engine]
|
||
baseline_count = check_result['baseline_counts'].get(engine, 0)
|
||
|
||
if new_count > 0:
|
||
result['files_found'].append(f"{engine}: {current_count}个文件 (新增{new_count}个)")
|
||
else:
|
||
result['missing_files'].append(f"{engine}: {current_count}个文件 (基准{baseline_count}个，无新增)")
|
||
|
||
# 检查论坛日志
|
||
if forum_ready:
|
||
result['files_found'].append(f"forum: {os.path.basename(forum_log_path)}")
|
||
else:
|
||
result['missing_files'].append("forum: 日志文件不存在")
|
||
|
||
# 获取最新文件路径（用于实际报告生成）
|
||
if result['ready']:
|
||
result['latest_files'] = self.file_baseline.get_latest_files(directories)
|
||
if forum_ready:
|
||
result['latest_files']['forum'] = forum_log_path
|
||
|
||
return result
|
||
|
||
def load_input_files(self, file_paths: Dict[str, str]) -> Dict[str, Any]:
|
||
"""
|
||
加载输入文件内容
|
||
|
||
Args:
|
||
file_paths: 文件路径字典
|
||
|
||
Returns:
|
||
加载的内容字典
|
||
"""
|
||
content = {
|
||
'reports': [],
|
||
'forum_logs': ''
|
||
}
|
||
|
||
# 加载报告文件
|
||
engines = ['query', 'media', 'insight']
|
||
for engine in engines:
|
||
if engine in file_paths:
|
||
try:
|
||
with open(file_paths[engine], 'r', encoding='utf-8') as f:
|
||
report_content = f.read()
|
||
content['reports'].append(report_content)
|
||
logger.info(f"已加载 {engine} 报告: {len(report_content)} 字符")
|
||
except Exception as e:
|
||
logger.exception(f"加载 {engine} 报告失败: {str(e)}")
|
||
content['reports'].append("")
|
||
|
||
# 加载论坛日志
|
||
if 'forum' in file_paths:
|
||
try:
|
||
with open(file_paths['forum'], 'r', encoding='utf-8') as f:
|
||
content['forum_logs'] = f.read()
|
||
logger.info(f"已加载论坛日志: {len(content['forum_logs'])} 字符")
|
||
except Exception as e:
|
||
logger.exception(f"加载论坛日志失败: {str(e)}")
|
||
|
||
return content
|
||
|
||
|
||
def create_agent(config_file: Optional[str] = None) -> ReportAgent:
|
||
"""
|
||
创建Report Agent实例的便捷函数
|
||
|
||
Args:
|
||
config_file: 配置文件路径
|
||
|
||
Returns:
|
||
ReportAgent实例
|
||
"""
|
||
|
||
config = Settings() # 以空配置初始化，而从从环境变量初始化
|
||
return ReportAgent(config)
|