"""全自适应 RAG 服务。

能力：
1. 意图识别（question / statement / mixed）
2. 多域路由（结构化 DB + 向量检索）
3. 回答生成与来源引用
4. QA 记录、反馈、JSONL 导出
5. 知识库文档/URL/飞书消息入库向量化
"""

from __future__ import annotations

import ast
import asyncio
import hashlib
import json
import math
import os
from pathlib import Path
import re
import time
from dataclasses import dataclass
from datetime import datetime, timezone
from typing import Any, Optional

import httpx
from sqlalchemy import and_, bindparam, delete, func, or_, select, text
from sqlalchemy.ext.asyncio import AsyncSession

from ...config.ai_prompts import (
    PROMPT_AI_PMO_QA,
    PROMPT_EXTERNAL_TREND_QA,
    PROMPT_FEISHU_DIRECT_QA,
    PROMPT_FEISHU_MIXED_QA,
    PROMPT_MEMBER_WORKLOAD_QA,
    PROMPT_RAG_ANSWER,
    PROMPT_RAG_DB_PROJECT_QA,
    PROMPT_RAG_INTENT_CLASSIFICATION,
)
from ...core.database import AsyncSessionLocal
from ...models import (
    KnowledgeBaseChunk,
    KnowledgeBaseDoc,
    KGEvidence,
    KGEntity,
    KGRelation,
    Project,
    ProjectSignalLink,
    QAFeedback,
    QARecord,
    QASession,
    QASessionState,
    Signal,
    Task,
    TruthNode,
    User,
    UserProject,
    UserWorkload,
)
from ..context_cache_service import context_cache_service
from ..llm_service import LLMService
from ..signal.signal_source_orchestration import SignalSourceOrchestrationService
from ..signal.symbol_index import SymbolIndexService


from ...utils.timezone import CN_TZ, now_cn_aware, now_cn_naive