# =============================================================================
# 企微IT智能服务台 — 阶段5 自动化 意图识别
# =============================================================================
# 说明：调用 Dify 识别员工诉求命中哪个自动化场景；Dify 未配置时走关键词兜底，
#       保证 P0 四个场景在无真实 Dify 环境下也能跑通闭环。
# =============================================================================

from __future__ import annotations

import logging
from typing import Any, Dict, Optional

from app.integrations.dify import DifyClient, get_dify_client
from app.integrations.factory import build_dify_client

logger = logging.getLogger(__name__)


class IntentRouter:
    """意图识别路由器。"""

    def __init__(self, db: Any = None, audit: Any = None):
        self.db = db
        self.audit = audit

    async def detect(self, description: str, employee_id: str = "") -> Dict[str, Any]:
        """识别意图，返回 {scenario_key, confidence, raw, error}。

        优先走 Dify；若 Dify 未配置或调用失败，使用关键词兜底。
        """
        client: Optional[DifyClient] = None
        try:
            client = await build_dify_client(audit=self.audit)
        except Exception as e:  # noqa: BLE001
            logger.warning(f"构建 Dify 客户端失败，转关键词兜底: {e}")

        if client is None:
            fb = DifyClient._fallback_intent(description)
            fb["error"] = "dify_not_configured"
            return fb

        try:
            return await client.detect_intent(description, employee_id)
        except Exception as e:  # noqa: BLE001
            logger.warning(f"Dify 意图识别异常，转关键词兜底: {e}")
            fb = DifyClient._fallback_intent(description)
            fb["error"] = str(e)
            return fb