Doiiars
496 lines
17 KiB
Python
496 lines
17 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 loguru import logger
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from datetime import datetime
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from typing import Optional, Dict, Any, List
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from .llms import LLMClient
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from .nodes import (
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TemplateSelectionNode,
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HTMLGenerationNode
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)
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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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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(settings.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(settings.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(settings.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=settings.REPORT_ENGINE_API_KEY,
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model_name=settings.REPORT_ENGINE_MODEL_NAME,
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base_url=settings.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.html_generation_node = HTMLGenerationNode(self.llm_client)
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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) -> str:
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"""
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生成综合报告
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Args:
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query: 原始查询
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reports: 三个子agent的报告列表（按顺序：QueryEngine, MediaEngine, InsightEngine）
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forum_logs: 论坛日志内容
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custom_template: 用户自定义模板（可选）
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save_report: 是否保存报告到文件
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Returns:
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最终HTML报告内容
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"""
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start_time = datetime.now()
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logger.info(f"开始生成报告: {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(forum_logs)}")
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try:
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# Step 1: 模板选择
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template_result = self._select_template(query, reports, forum_logs, custom_template)
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# Step 2: 直接生成HTML报告
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html_report = self._generate_html_report(query, reports, forum_logs, template_result)
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# Step 3: 保存报告
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if save_report:
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self._save_report(html_report)
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# 更新生成时间
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end_time = datetime.now()
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generation_time = (end_time - 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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return html_report
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except Exception as 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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raise e
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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',
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'template_content': self._get_fallback_template_content(),
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'selection_reason': '模板选择失败，使用默认社会热点事件分析模板'
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}
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self.state.metadata.template_used = fallback_template['template_name']
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return fallback_template
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def _generate_html_report(self, query: str, reports: List[Any], forum_logs: str, template_result: Dict[str, Any]) -> str:
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"""生成HTML报告"""
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logger.info("多轮生成HTML报告...")
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# 准备报告内容，确保有3个报告
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query_report = reports[0] if len(reports) > 0 else ""
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media_report = reports[1] if len(reports) > 1 else ""
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insight_report = reports[2] if len(reports) > 2 else ""
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# 转换为字符串格式
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query_report = str(query_report) if query_report else ""
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media_report = str(media_report) if media_report else ""
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insight_report = str(insight_report) if insight_report else ""
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html_input = {
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'query': query,
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'query_engine_report': query_report,
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'media_engine_report': media_report,
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'insight_engine_report': insight_report,
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'forum_logs': forum_logs,
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'selected_template': template_result.get('template_content', '')
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}
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# 使用HTML生成节点生成报告
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html_content = self.html_generation_node.run(html_input)
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# 更新状态
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self.state.html_content = html_content
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self.state.mark_completed()
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logger.info("HTML报告生成完成")
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return html_content
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def _get_fallback_template_content(self) -> str:
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"""获取备用模板内容"""
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return """# 社会公共热点事件分析报告
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## 执行摘要
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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。
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## 事件概况
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### 基本信息
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- 事件性质：{event_nature}
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- 发生时间：{event_time}
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- 涉及范围：{event_scope}
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## 舆情态势分析
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### 整体趋势
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{sentiment_analysis}
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### 主要观点分布
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{opinion_distribution}
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## 媒体报道分析
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### 主流媒体态度
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{media_analysis}
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### 报道重点
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{report_focus}
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## 社会影响评估
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### 直接影响
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{direct_impact}
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### 潜在影响
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{potential_impact}
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## 应对建议
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### 即时措施
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{immediate_actions}
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### 长期策略
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{long_term_strategy}
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## 结论与展望
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{conclusion}
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---
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*报告类型：社会公共热点事件分析*
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*生成时间：{generation_time}*
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"""
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def _save_report(self, html_content: str):
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"""保存报告到文件"""
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# 生成文件名
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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query_safe = "".join(c for c in self.state.metadata.query if c.isalnum() or c in (' ', '-', '_')).rstrip()
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query_safe = query_safe.replace(' ', '_')[:30]
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filename = f"final_report_{query_safe}_{timestamp}.html"
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filepath = os.path.join(settings.OUTPUT_DIR, filename)
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# 保存HTML报告
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with open(filepath, 'w', encoding='utf-8') as f:
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f.write(html_content)
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logger.info(f"报告已保存到: {filepath}")
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# 保存状态
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state_filename = f"report_state_{query_safe}_{timestamp}.json"
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state_filepath = os.path.join(settings.OUTPUT_DIR, state_filename)
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self.state.save_to_file(state_filepath)
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logger.info(f"状态已保存到: {state_filepath}")
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def get_progress_summary(self) -> Dict[str, Any]:
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"""获取进度摘要"""
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return self.state.to_dict()
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def load_state(self, filepath: str):
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"""从文件加载状态"""
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self.state = ReportState.load_from_file(filepath)
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logger.info(f"状态已从 {filepath} 加载")
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def save_state(self, filepath: str):
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"""保存状态到文件"""
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self.state.save_to_file(filepath)
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logger.info(f"状态已保存到 {filepath}")
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def check_input_files(self, insight_dir: str, media_dir: str, query_dir: str, forum_log_path: str) -> Dict[str, Any]:
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"""
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检查输入文件是否准备就绪（基于文件数量增加）
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Args:
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insight_dir: InsightEngine报告目录
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media_dir: MediaEngine报告目录
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query_dir: QueryEngine报告目录
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forum_log_path: 论坛日志文件路径
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Returns:
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检查结果字典
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"""
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# 检查各个报告目录的文件数量变化
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directories = {
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'insight': insight_dir,
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'media': media_dir,
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'query': query_dir
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}
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# 使用文件基准管理器检查新文件
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check_result = self.file_baseline.check_new_files(directories)
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# 检查论坛日志
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forum_ready = os.path.exists(forum_log_path)
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# 构建返回结果
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result = {
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'ready': check_result['ready'] and forum_ready,
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'baseline_counts': check_result['baseline_counts'],
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'current_counts': check_result['current_counts'],
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'new_files_found': check_result['new_files_found'],
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'missing_files': [],
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'files_found': [],
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'latest_files': {}
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}
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# 构建详细信息
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for engine, new_count in check_result['new_files_found'].items():
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current_count = check_result['current_counts'][engine]
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baseline_count = check_result['baseline_counts'].get(engine, 0)
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if new_count > 0:
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result['files_found'].append(f"{engine}: {current_count}个文件 (新增{new_count}个)")
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else:
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result['missing_files'].append(f"{engine}: {current_count}个文件 (基准{baseline_count}个，无新增)")
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# 检查论坛日志
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if forum_ready:
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result['files_found'].append(f"forum: {os.path.basename(forum_log_path)}")
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else:
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result['missing_files'].append("forum: 日志文件不存在")
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# 获取最新文件路径（用于实际报告生成）
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if result['ready']:
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result['latest_files'] = self.file_baseline.get_latest_files(directories)
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if forum_ready:
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result['latest_files']['forum'] = forum_log_path
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return result
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def load_input_files(self, file_paths: Dict[str, str]) -> Dict[str, Any]:
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"""
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加载输入文件内容
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Args:
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file_paths: 文件路径字典
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Returns:
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加载的内容字典
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"""
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content = {
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'reports': [],
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'forum_logs': ''
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}
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# 加载报告文件
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engines = ['query', 'media', 'insight']
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for engine in engines:
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if engine in file_paths:
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try:
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with open(file_paths[engine], 'r', encoding='utf-8') as f:
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report_content = f.read()
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content['reports'].append(report_content)
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logger.info(f"已加载 {engine} 报告: {len(report_content)} 字符")
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except Exception as e:
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logger.exception(f"加载 {engine} 报告失败: {str(e)}")
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content['reports'].append("")
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# 加载论坛日志
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if 'forum' in file_paths:
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try:
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with open(file_paths['forum'], 'r', encoding='utf-8') as f:
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content['forum_logs'] = f.read()
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logger.info(f"已加载论坛日志: {len(content['forum_logs'])} 字符")
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except Exception as e:
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logger.exception(f"加载论坛日志失败: {str(e)}")
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return content
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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)
|