117 lines
4.5 KiB
Python
117 lines
4.5 KiB
Python
from __future__ import annotations
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"""
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Proactive Signal Capture Service - 主动式信号捕获服务
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核心功能：
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1. 飞书群聊监控 - 自动捕获群内讨论的产品/技术相关内容
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2. 浏览器标签监控 - 检测用户访问的技术文档、竞品页面
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3. GitHub 仓库监控 - 跟踪上游仓库更新、竞品开源项目
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4. HackerNews 自动抓取 - 定时抓取技术前沿信息
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每个信号都会自动：
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- 评估战略重要性
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- 提取关键技术栈
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- 生成任务建议
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- 推送给相关角色
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"""
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import asyncio
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import inspect
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import json
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import re
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from uuid import uuid4
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from datetime import datetime, timedelta, timezone
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from typing import Any, Dict, List, Optional
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.future import select
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from sqlalchemy import and_, text
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from ....core.logging import get_logger
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from ....core.database import AsyncSessionLocal
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from ....models import (
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Signal, Project, ProjectDomain, User,
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ProjectSignalLink, Task, TruthNode,
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SkillTag, UserProject, UserWorkload, UserSkillBinding,
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)
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from ....config.ai_prompts import (
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PROMPT_FEISHU_PROJECT_SIGNAL_CLASSIFICATION,
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PROMPT_FEISHU_TASK_ORCHESTRATION,
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)
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from ...llm_service import LLMService
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from ...notification_service import NotificationService
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from ... import workload as workload_service
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from ...adaptive_rag_service import AdaptiveRAGService
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from ...ai_pmo.workflow_semantic_planner.constants import (
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NON_REQUIREMENT_CONTAINS,
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NON_REQUIREMENT_EXACT,
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REQUIREMENT_HINTS,
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)
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from ...ai_orchestration_run import AIOrchestrationRunService
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from ...context_cache_service import context_cache_service
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from ..signal_source_orchestration import SignalSourceOrchestrationService
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from ...ai_pmo.ai_pmo_kernel import AIPMOKernelService
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from ....utils.project_members import ensure_project_default_members
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from ....utils.sequence import ensure_project_id_sequence, ensure_signal_id_sequence
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from app.utils.thread_context import build_feishu_thread_key
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from ....utils.timezone import CN_TZ, now_cn_aware
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EMOJI_UNICODE_RE = re.compile(
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r"[\U0001F300-\U0001F6FF\U0001F700-\U0001F77F\U0001F780-\U0001F7FF"
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r"\U0001F800-\U0001F8FF\U0001F900-\U0001F9FF\U0001FA00-\U0001FAFF"
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r"\U00002600-\U000026FF\U00002700-\U000027BF]+"
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)
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ONLY_PUNCT_OR_SPACE_RE = re.compile(r"^[\s\W_]+$", re.UNICODE)
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MENTION_TAG_RE = re.compile(r"</?at[^>]*>", re.IGNORECASE)
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CONTROL_CHAR_RE = re.compile(r"[\x00-\x08\x0B\x0C\x0E-\x1F\x7F]+")
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logger = get_logger(__name__)
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AI_THINK_STAGE_ZH = {
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"capture_start": "开始处理飞书消息",
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"capture_skip_empty": "消息为空，忽略",
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"capture_skip_noise": "识别为噪音消息，忽略",
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"capture_done_ai_pmo": "AI PMO kernel 已完成决策闭环",
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"capture_kernel_failed": "AI PMO kernel 执行异常",
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"capture_kernel_failed_rollback_failed": "kernel 异常后回滚失败",
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"classification_done": "语义分类完成",
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"classification_parse_failed": "语义分类结果解析失败",
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"capture_skip_not_requirement": "非需求消息，忽略",
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"capture_skip_non_requirement": "判定为非需求，忽略",
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"signal_created": "信号已创建",
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"project_link_done": "项目关联完成",
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"project_link_failed": "项目关联失败",
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"task_orchestrate_failed": "任务编排失败",
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"capture_done": "飞书消息处理完成",
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"pipeline_post_orchestrate_failed": "分流后置任务编排失败",
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"pipeline_post_update_signal_failed": "分流后置信号结果回写失败",
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"pipeline_post_source_onboard_failed": "分流后置信号源接入编排失败",
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"task_plan_llm_done": "任务编排 LLM 返回成功",
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"task_plan_llm_failed": "任务编排 LLM 调用失败",
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"task_created": "任务已创建",
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"charter_auto_created": "自动创建宪章节点",
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"hn_story_captured": "HackerNews 信号已捕获",
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"hn_monitor_error": "HackerNews 监控异常",
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"new_project_created_from_signal": "已根据信号自动创建项目",
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"draft_new_project_brief_failed": "新项目摘要生成失败",
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}
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def _build_feishu_rag_conversation_key(
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*,
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source_chat_id: Optional[str],
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source_sender_open_id: Optional[str],
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sender: Optional[str],
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source_message_id: Optional[str] = None,
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thread_context: Optional[dict[str, Any]] = None,
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) -> str:
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return build_feishu_thread_key(
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source_chat_id=source_chat_id,
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source_sender_open_id=source_sender_open_id,
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sender=sender,
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source_message_id=source_message_id,
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thread_context=thread_context,
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)
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__all__ = [name for name in globals() if not name.startswith("__")]
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