sansenhoshiandClaude Code
51b08ccb68
- 群分析: 新增 history_store 只读本地消息源(读 learning_chat 落库,含 uninfo 昵称补齐/去重/截断判定),适配器优先读本地库、失败回退 OneBot 分页;分页 锚点字段回退链修复 NapCat 传 message_seq 翻页断裂;新增「本地记录」开关 - core/message_utils: 新增 common_proc_reply 占位图通用回复(引用消息 + 处理中 动图,支持后台任务显式指定 target),群分析/战况/倒放改用 - web_hub + web: 日志页改固定窗口滚动 + 翻页锚定 + 自动换行,SSE 日志轮转发 reset 帧,入口 HTML no-cache,行数统计增量缓存,CPU 改非阻塞采样,登录信息缓存 - 插件内 CLAUDE.md / DESIGN.md 不入库(.gitignore),galgame_card 两份文档取消 跟踪(文件保留在磁盘) Co-Authored-By: Claude Code <noreply@anthropic.com>
127 lines
4.4 KiB
Python
127 lines
4.4 KiB
Python
"""NoneBot 版服务装配与执行入口。"""
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from __future__ import annotations
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from typing import Any
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from .adapter import OneBotAdapter
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from .bot_manager import BotManager
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from .config import ConfigDict, load_config
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from .core.application.services.analysis_application_service import (
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AnalysisApplicationService,
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)
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from .core.domain.services.analysis_domain_service import AnalysisDomainService
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from .core.domain.services.incremental_merge_service import IncrementalMergeService
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from .core.domain.services.statistics_service import StatisticsService
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from .core.infrastructure.analysis.llm_analyzer import LLMAnalyzer
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from .core.infrastructure.config.config_manager import ConfigManager
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from .core.infrastructure.persistence.checkpoint_store import CheckpointStore
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from .core.infrastructure.persistence.history_manager import HistoryManager
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from .core.infrastructure.persistence.incremental_store import IncrementalStore
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from .core.infrastructure.reporting.generators import ReportGenerator
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from .core.infrastructure.visualization.activity_charts import ActivityVisualizer
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from .core.shared.constants import PLUGIN_NAME
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from .core.shared.trace_context import TraceContext
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from .core.utils.logger import logger
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from .core.utils.paths import get_data_dir
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from .kv_store import AsyncKVStore
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from .renderer import html_render
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_services: dict[str, Any] | None = None
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class _DummyContext:
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"""替代 AstrBot Context；本插件的 LLM 层不再使用它。"""
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def get_provider_by_id(self, **kwargs):
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return None
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def get_all_providers(self):
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return []
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async def get_current_chat_provider_id(self, **kwargs):
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return None
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async def llm_generate(self, **kwargs):
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raise NotImplementedError
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def _build_services() -> dict[str, Any]:
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global _services
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if _services is not None:
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return _services
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cfg = load_config()
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config_manager = ConfigManager(cfg)
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data_dir = get_data_dir(PLUGIN_NAME)
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data_dir.mkdir(parents=True, exist_ok=True)
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kv_store = AsyncKVStore(data_dir / "kv_store.json")
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activity_visualizer = ActivityVisualizer()
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statistics_service = StatisticsService(activity_visualizer)
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analysis_domain_service = AnalysisDomainService()
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incremental_merge_service = IncrementalMergeService()
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report_generator = ReportGenerator(config_manager, data_dir)
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llm_analyzer = LLMAnalyzer(_DummyContext(), config_manager)
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history_manager = HistoryManager(kv_store)
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incremental_store = IncrementalStore(kv_store)
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checkpoint_store = CheckpointStore(data_dir / "traces.db")
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# 登记 TraceContext 持久化（可选，不影响分析主链路）
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try:
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from .core.infrastructure.persistence.trace_sqlite_store import TraceSQLiteStore
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TraceContext.set_global_store(TraceSQLiteStore(data_dir / "traces.db"))
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except Exception as e:
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logger.debug(f"TraceStore 初始化失败(忽略): {e}")
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bot_manager = BotManager()
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analysis_service = AnalysisApplicationService(
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config_manager=config_manager,
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bot_manager=bot_manager,
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history_manager=history_manager,
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report_generator=report_generator,
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llm_analyzer=llm_analyzer,
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statistics_service=statistics_service,
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analysis_domain_service=analysis_domain_service,
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incremental_store=incremental_store,
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incremental_merge_service=incremental_merge_service,
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checkpoint_store=checkpoint_store,
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html_render=html_render,
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)
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_services = {
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"config_manager": config_manager,
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"report_generator": report_generator,
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"analysis_service": analysis_service,
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"bot_manager": bot_manager,
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"data_dir": data_dir,
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}
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return _services
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def get_services() -> dict[str, Any]:
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return _build_services()
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def register_bot_adapter(bot: Any, platform_id: str | None = None) -> OneBotAdapter:
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"""为当前 Bot 注册/更新 OneBot 适配器。"""
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svc = _build_services()
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bot_manager = svc["bot_manager"]
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config_manager = svc["config_manager"]
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bot_self_ids = list(config_manager.get_bot_self_ids() or [])
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adapter = OneBotAdapter(
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bot,
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{
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"platform_id": platform_id or "onebot",
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"bot_self_ids": bot_self_ids,
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"filter_bot_messages": config_manager.get_filter_bot_messages(),
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"use_local_history": config_manager.get_use_local_history(),
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},
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)
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bot_manager.register_adapter(adapter, platform_id or "onebot")
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return adapter
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