"""
反馈数据 API — 用户反馈分析、记录查询、反例生成
"""
from __future__ import annotations

import logging
from typing import Optional

from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session

from app.core.database import get_db
from app.api.auth import get_current_user
from app.models.user import User
from app.services.feedback_learner import feedback_learner

logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1/feedback", tags=["feedback"])


@router.get("/analysis")
def get_feedback_analysis(
    days: int = Query(7, ge=1, le=90, description="统计天数"),
    agent_name: Optional[str] = Query(None, description="按 Agent 筛选"),
    current_user: User = Depends(get_current_user),
):
    """获取反馈分析报告 — 信号分布、负面率、策略建议。"""
    result = feedback_learner.analyze_feedback_patterns(agent_name=agent_name, days=days)
    return result


@router.get("/records")
def list_feedback_records(
    agent_name: Optional[str] = Query(None, description="按 Agent 筛选"),
    signal_type: Optional[str] = Query(None, description="按信号类型筛选"),
    days: int = Query(30, ge=1, le=365, description="统计天数"),
    limit: int = Query(50, ge=1, le=200, description="返回条数"),
    offset: int = Query(0, ge=0, description="偏移量"),
    db: Session = Depends(get_db),
    current_user: User = Depends(get_current_user),
):
    """查询反馈记录列表。"""
    from datetime import datetime, timedelta
    from app.models.feedback_record import FeedbackRecord

    since = datetime.now() - timedelta(days=days)
    q = db.query(FeedbackRecord).filter(FeedbackRecord.created_at >= since)

    if agent_name:
        q = q.filter(FeedbackRecord.agent_name == agent_name)
    if signal_type:
        q = q.filter(FeedbackRecord.signal_type == signal_type)

    total = q.count()
    records = (
        q.order_by(FeedbackRecord.created_at.desc())
        .offset(offset)
        .limit(limit)
        .all()
    )

    return {
        "total": total,
        "limit": limit,
        "offset": offset,
        "items": [
            {
                "id": r.id,
                "user_id": r.user_id,
                "signal_type": r.signal_type,
                "severity": r.severity,
                "execution_log_id": r.execution_log_id,
                "agent_name": r.agent_name,
                "original_output": (r.original_output or "")[:200],
                "user_correction": (r.user_correction or "")[:200],
                "learned": r.learned,
                "lesson_summary": r.lesson_summary,
                "created_at": r.created_at.isoformat() if r.created_at else None,
            }
            for r in records
        ],
    }


@router.get("/negative-examples/{agent_name}")
def get_negative_examples(
    agent_name: str,
    limit: int = Query(5, ge=1, le=20, description="返回条数"),
    current_user: User = Depends(get_current_user),
):
    """获取指定 Agent 的反例（用于改进 system prompt）。"""
    examples = feedback_learner.generate_negative_examples(agent_name=agent_name, limit=limit)
    return {"agent_name": agent_name, "count": len(examples), "examples": examples}