[v1.7.0] (解耦化) 优化项目结构，修复部分提示内容

src/utils/__init__.py

@@ -0,0 +1,12 @@
+"""
+工具函数模块
+包含PDF处理和通用工具函数
+"""
+
+from .pdf_utils import PDFInstaller
+from .helpers import MessageAnalyzer
+
+__all__ = [
+    'PDFInstaller',
+    'MessageAnalyzer'
+]

src/utils/helpers.py

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+"""
+通用工具函数模块
+包含消息分析和其他通用功能
+"""
+
+from typing import List, Dict
+from ...src.models.data_models import GroupStatistics, SummaryTopic, UserTitle, GoldenQuote, TokenUsage
+from ...src.core.message_handler import MessageHandler
+from ...src.analysis.llm_analyzer import LLMAnalyzer
+from ...src.analysis.statistics import UserAnalyzer
+
+
+class MessageAnalyzer:
+    """消息分析器 - 整合所有分析功能"""
+
+    def __init__(self, context, config_manager):
+        self.context = context
+        self.config_manager = config_manager
+        self.message_handler = MessageHandler(config_manager)
+        self.llm_analyzer = LLMAnalyzer(context, config_manager)
+        self.user_analyzer = UserAnalyzer(config_manager)
+
+    async def set_bot_instance(self, bot_instance):
+        """设置bot实例"""
+        await self.message_handler.set_bot_qq_id(bot_instance)
+
+    async def analyze_messages(self, messages: List[Dict], group_id: str) -> Dict:
+        """完整的消息分析流程"""
+        try:
+            # 基础统计
+            statistics = self.message_handler.calculate_statistics(messages)
+
+            # 用户分析
+            user_analysis = self.user_analyzer.analyze_users(messages)
+
+            # LLM分析
+            topics = []
+            user_titles = []
+            golden_quotes = []
+            total_token_usage = TokenUsage()
+
+            # 话题分析
+            if self.config_manager.get_topic_analysis_enabled():
+                topics, topic_tokens = await self.llm_analyzer.analyze_topics(messages)
+                total_token_usage.prompt_tokens += topic_tokens.prompt_tokens
+                total_token_usage.completion_tokens += topic_tokens.completion_tokens
+                total_token_usage.total_tokens += topic_tokens.total_tokens
+
+            # 用户称号分析
+            if self.config_manager.get_user_title_analysis_enabled():
+                user_titles, title_tokens = await self.llm_analyzer.analyze_user_titles(messages, user_analysis)
+                total_token_usage.prompt_tokens += title_tokens.prompt_tokens
+                total_token_usage.completion_tokens += title_tokens.completion_tokens
+                total_token_usage.total_tokens += title_tokens.total_tokens
+
+            # 金句分析
+            golden_quotes, quote_tokens = await self.llm_analyzer.analyze_golden_quotes(messages)
+            total_token_usage.prompt_tokens += quote_tokens.prompt_tokens
+            total_token_usage.completion_tokens += quote_tokens.completion_tokens
+            total_token_usage.total_tokens += quote_tokens.total_tokens
+
+            # 更新统计数据
+            statistics.golden_quotes = golden_quotes
+            statistics.token_usage = total_token_usage
+
+            return {
+                "statistics": statistics,
+                "topics": topics,
+                "user_titles": user_titles,
+                "user_analysis": user_analysis
+            }
+
+        except Exception as e:
+            from astrbot.api import logger
+            logger.error(f"消息分析失败: {e}")
+            return None

src/utils/pdf_utils.py

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+"""
+PDF工具模块
+负责PDF相关的安装和管理功能
+"""
+
+import sys
+import asyncio
+from astrbot.api import logger
+
+
+class PDFInstaller:
+    """PDF功能安装器"""
+
+    @staticmethod
+    async def install_pyppeteer(config_manager):
+        """安装pyppeteer依赖"""
+        try:
+            logger.info("开始安装 pyppeteer...")
+
+            # 使用asyncio安装pyppeteer和兼容的websockets版本
+            logger.info("安装 pyppeteer==1.0.2 和兼容的依赖...")
+            process = await asyncio.create_subprocess_exec(
+                sys.executable, "-m", "pip", "install",
+                "pyppeteer==1.0.2", "websockets==10.4",
+                stdout=asyncio.subprocess.PIPE,
+                stderr=asyncio.subprocess.PIPE
+            )
+
+            stdout, stderr = await process.communicate()
+
+            if process.returncode == 0:
+                logger.info("pyppeteer 安装成功")
+                logger.info(f"安装输出: {stdout.decode()}")
+
+                # 重新加载pyppeteer模块
+                success = config_manager.reload_pyppeteer()
+                if success:
+                    return "✅ pyppeteer 安装成功！PDF 功能现已可用。"
+                else:
+                    return "⚠️ pyppeteer 安装完成，但重新加载失败。请重启 AstrBot 以使用 PDF 功能。"
+            else:
+                error_msg = stderr.decode()
+                logger.error(f"pyppeteer 安装失败: {error_msg}")
+                return f"❌ pyppeteer 安装失败: {error_msg}"
+
+        except Exception as e:
+            logger.error(f"安装 pyppeteer 时出错: {e}")
+            return f"❌ 安装过程中出错: {str(e)}"
+
+    @staticmethod
+    def get_pdf_status(config_manager) -> str:
+        """获取PDF功能状态"""
+        if config_manager.pyppeteer_available:
+            version = config_manager.pyppeteer_version or "未知版本"
+            return f"✅ PDF 功能可用 (pyppeteer {version})"
+        else:
+            return "❌ PDF 功能不可用 - 需要安装 pyppeteer"