"""驾驶舱 API v2 — 支持时间区间"""
from fastapi import APIRouter, Depends, Query, Request, HTTPException
from sqlalchemy.orm import Session
from sqlalchemy import func, or_
from datetime import datetime, timedelta
from typing import Optional
from app.database import get_db
from app.auth_middleware import require_auth, require_role
from app.deps import get_entity_id
from app.models import KPIDefinition, KPIValue, KPIAlert, User
from app.utils.cache import get as cache_get, set as cache_set
import json
import logging

logger = logging.getLogger("cma.dashboard")

router = APIRouter(prefix="/api/cma/dashboard", tags=["驾驶舱"],
    dependencies=[Depends(require_role("ceo", "finance", "business", "it"))],
)

def parse_period(period_type: str, start_date: str = None, end_date: str = None):
    """解析时间区间"""
    today = datetime.now()
    if period_type == "month":
        start = today.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
        end = today
    elif period_type == "quarter":
        q = (today.month - 1) // 3
        start = today.replace(month=q*3+1, day=1, hour=0, minute=0, second=0, microsecond=0)
        end = today
    elif period_type == "year":
        start = today.replace(month=1, day=1, hour=0, minute=0, second=0, microsecond=0)
        end = today
    elif period_type == "custom" and start_date and end_date:
        start = datetime.strptime(start_date, "%Y-%m-%d")
        end = datetime.strptime(end_date, "%Y-%m-%d") + timedelta(days=1)
    else:
        start = today.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
        end = today
    return start, end

def period_prefix(period_type: str):
    """生成SQL期间前缀匹配"""
    if period_type == "month":
        return datetime.now().strftime("%Y-%m")
    elif period_type == "quarter":
        now = datetime.now()
        q = (now.month - 1) // 3
        months = [f"{now.year}-{m:02d}" for m in range(q*3+1, q*3+4)]
        return months
    elif period_type == "year":
        return str(datetime.now().year)
    return None

def kpi_target_by_frequency(k):
    """按考核频率返回对应周期的目标值（多粒度改造）
    monthly/weekly -> target_monthly; quarterly/half_year -> target_quarterly; yearly -> target_yearly
    兼容: 对应列无值时回退 target_value
    """
    freq = (k.frequency or "monthly").lower()
    if freq in ("monthly", "weekly"):
        val = getattr(k, "target_monthly", None)
    elif freq in ("quarterly", "half_year"):
        val = getattr(k, "target_quarterly", None)
    elif freq == "yearly":
        val = getattr(k, "target_yearly", None)
    else:
        val = None
    if val is None:
        val = k.target_value
    return val

@router.get("/summary")
def get_dashboard_summary(role: str = Query("ceo"), period: str = Query("month"),
                          db: Session = Depends(get_db), entity_id: int = Depends(get_entity_id)):
    cache_key = f"summary:{role}:{period}:{entity_id}"
    cached = cache_get("dashboard", cache_key)
    if cached:
        return cached
    kpi_total = db.query(func.count(KPIDefinition.id)).filter(
        KPIDefinition.status == "active", KPIDefinition.entity_id == entity_id).scalar()
    alert_count = db.query(func.count(KPIAlert.id)).filter(KPIAlert.status == "pending").scalar()
    dims = db.query(KPIDefinition.dimension, func.count(KPIDefinition.id)).filter(
        KPIDefinition.status == "active", KPIDefinition.entity_id == entity_id
    ).group_by(KPIDefinition.dimension).all()
    
    # 读取最近一次同步状态（从日志文件最后一行）
    sync_status = {"last_sync": None, "status": "unknown", "detail": ""}
    try:
        with open("/var/log/cma-daily-sync.log", "r") as f:
            lines = f.readlines()
        # 从最后往前找包含 "完成" 或 "失败" 的行
        for line in reversed(lines[-50:]):
            if "全部完成" in line:
                sync_status["status"] = "success"
                sync_status["last_sync"] = line.strip()
                break
            elif "失败" in line or "ERROR" in line:
                sync_status["status"] = "failed"
                sync_status["last_sync"] = line.strip()
                break
        else:
            # 没找到完成/失败标记，取最后一行
            sync_status["last_sync"] = lines[-1].strip() if lines else None
    except Exception as e:
        sync_status["detail"] = str(e)
    
    result = {
        "kpi_total": kpi_total or 0, "alert_count": alert_count or 0,
        "dimension_stats": [{"dimension": d[0], "count": d[1]} for d in dims],
        "sync_status": sync_status,
    }
    cache_set("dashboard", cache_key, result, ttl_seconds=30)
    return result

@router.get("/kpis")
def get_dashboard_kpis(role: str = Query("ceo"), period: str = Query("month"),
                       start_date: str = Query(None), end_date: str = Query(None),
                       db: Session = Depends(get_db), entity_id: int = Depends(get_entity_id)):
    start, end = parse_period(period, start_date, end_date)
    period_str = start.strftime("%Y-%m")
    
    kpis = db.query(KPIDefinition).filter(
        KPIDefinition.status == "active",
        KPIDefinition.entity_id == entity_id
    ).all()
    result = []
    
    for k in kpis:
        base_query = db.query(KPIValue).filter(KPIValue.kpi_id == k.id)
        
        if period == "month":
            latest = base_query.filter(KPIValue.period == period_str).order_by(KPIValue.id.desc()).first()
        elif period == "quarter":
            months = period_prefix("quarter")
            values = base_query.filter(KPIValue.period.in_(months)).all()
            latest_val = sum(v.actual_value for v in values if v.actual_value) if values else None
            latest = type('obj', (object,), {"actual_value": latest_val, "period": f"{months[0]}~{months[-1]}"})() if latest_val else None
        elif period == "year":
            values = base_query.filter(KPIValue.period.like(f"{period_str[:4]}%")).all()
            latest_val = sum(v.actual_value for v in values if v.actual_value) if values else None
            latest = type('obj', (object,), {"actual_value": latest_val, "period": period_str[:4]})() if latest_val else None
        elif period == "custom" and start_date and end_date:
            periods = []
            d = start
            while d <= end:
                periods.append(d.strftime("%Y-%m"))
                d += timedelta(days=32)
                d = d.replace(day=1)
            values = base_query.filter(KPIValue.period.in_(set(periods))).all()
            latest_val = sum(v.actual_value for v in values if v.actual_value) if values else None
            latest = type('obj', (object,), {"actual_value": latest_val, "period": f"{start_date}~{end_date}"})() if latest_val else None
        else:
            latest = base_query.order_by(KPIValue.period.desc()).first()
        
        alert = db.query(KPIAlert).filter(
            KPIAlert.kpi_id == k.id,
            KPIAlert.status == "pending",
        ).order_by(KPIAlert.id.desc()).first()
        
        result.append({
            "id": k.id, "kpi_code": k.kpi_code, "kpi_name": k.kpi_name,
            "dimension": k.dimension, "unit": k.unit, "target_value": k.target_value,
            "target_monthly": k.target_monthly, "target_quarterly": k.target_quarterly, "target_yearly": k.target_yearly,
            "actual_value": latest.actual_value if latest else None,
            "period": latest.period if latest else None,
            "alert_level": alert.alert_level if alert else "none",
            "alert_message": alert.alert_message if alert else None,
            "frequency": k.frequency,
            "responsible_dept": k.responsible_dept,
        })
    
    return {"data": result, "period": period, "range": {"start": start.strftime("%Y-%m-%d"), "end": end.strftime("%Y-%m-%d")}}


@router.get("/my-kpis")
def get_my_kpis(
    current_user: User = Depends(require_auth),
    period: str = Query("month"),
    db: Session = Depends(get_db),
):
    """获取当前用户负责的KPI
    - business角色：只看自己负责的KPI
    - 其他角色：看所有有预警的KPI
    """
    role = current_user.role
    username = current_user.username
    name = current_user.name
    period_str = datetime.now().strftime("%Y-%m")
    
    kpis = db.query(KPIDefinition).filter(KPIDefinition.status == "active").all()
    result = []
    
    for k in kpis:
        # business角色筛选
        if role == "business":
            responsible = (k.responsible_user or "").strip()
            if responsible and responsible != username and responsible != name:
                continue
        
        latest = db.query(KPIValue).filter(
            KPIValue.kpi_id == k.id,
            KPIValue.period == period_str,
        ).order_by(KPIValue.id.desc()).first()
        
        alert = db.query(KPIAlert).filter(
            KPIAlert.kpi_id == k.id,
            KPIAlert.status == "pending",
        ).order_by(KPIAlert.id.desc()).first()
        
        trend_values = db.query(KPIValue).filter(
            KPIValue.kpi_id == k.id,
        ).order_by(KPIValue.period.desc()).limit(6).all()
        trend = [{"period": v.period, "value": v.actual_value} for v in reversed(trend_values)]
        
        result.append({
            "id": k.id, "kpi_code": k.kpi_code, "kpi_name": k.kpi_name,
            "dimension": k.dimension, "unit": k.unit,
            "target_value": k.target_value,
            "target_monthly": k.target_monthly, "target_quarterly": k.target_quarterly, "target_yearly": k.target_yearly,
            "actual_value": latest.actual_value if latest else None,
            "period": latest.period if latest else period_str,
            "alert_level": alert.alert_level if alert else "none",
            "alert_message": alert.alert_message if alert else None,
            "alert_id": alert.id if alert else None,
            "frequency": k.frequency,
            "responsible_dept": k.responsible_dept,
            "responsible_user": k.responsible_user,
            "trend": trend,
            "threshold_green": k.threshold_green,
            "threshold_yellow": k.threshold_yellow,
            "threshold_red": k.threshold_red,
        })
    
    return {"data": result, "user_role": role, "user_name": name, "period": period_str}


@router.get("/finance-analysis")
def get_finance_analysis(
    current_user: User = Depends(require_auth),
    period: str = Query("month"),
    db: Session = Depends(get_db),
    entity_id: int = Depends(get_entity_id),
):
    """财务工作台分析数据"""
    period_str = datetime.now().strftime("%Y-%m")
    
    finance_kpis = db.query(KPIDefinition).filter(
        KPIDefinition.status == "active",
        KPIDefinition.dimension == "finance",
        KPIDefinition.entity_id == entity_id,
    ).all()
    
    kpi_data = []
    for k in finance_kpis:
        latest = db.query(KPIValue).filter(
            KPIValue.kpi_id == k.id,
            KPIValue.period == period_str,
        ).order_by(KPIValue.id.desc()).first()
        
        trend_values = db.query(KPIValue).filter(
            KPIValue.kpi_id == k.id,
        ).order_by(KPIValue.period.desc()).limit(6).all()
        trend = [{"period": v.period, "value": v.actual_value} for v in reversed(trend_values)]
        
        alert = db.query(KPIAlert).filter(
            KPIAlert.kpi_id == k.id,
            KPIAlert.status == "pending",
        ).order_by(KPIAlert.id.desc()).first()
        
        kpi_data.append({
            "id": k.id, "kpi_code": k.kpi_code, "kpi_name": k.kpi_name,
            "unit": k.unit, "target_value": k.target_value,
            "target_monthly": k.target_monthly, "target_quarterly": k.target_quarterly, "target_yearly": k.target_yearly,
            "actual_value": latest.actual_value if latest else None,
            "threshold_green": k.threshold_green,
            "threshold_yellow": k.threshold_yellow,
            "threshold_red": k.threshold_red,
            "trend": trend,
            "alert_level": alert.alert_level if alert else "none",
            "frequency": k.frequency,
        })
    
    total_sales = next((k for k in kpi_data if k["kpi_code"] == "SALES_TOTAL"), None)
    gross_profit = next((k for k in kpi_data if k["kpi_code"] == "SALES_PROFIT_RATE"), None)
    cost_control = next((k for k in kpi_data if k["kpi_code"] == "COST_CONTROL_RATE"), None)
    receivable = next((k for k in kpi_data if k["kpi_code"] == "RECEIVABLE_TURNOVER"), None)
    
    return {
        "period": period_str,
        "kpis": kpi_data,
        "summary": {
            "total_sales": total_sales["actual_value"] if total_sales else None,
            "gross_profit_rate": gross_profit["actual_value"] if gross_profit else None,
            "cost_control_rate": cost_control["actual_value"] if cost_control else None,
            "receivable_turnover": receivable["actual_value"] if receivable else None,
        }
    }


@router.get("/predict")
def predict_kpis(db: Session = Depends(get_db), entity_id: int = Depends(get_entity_id)):
    """基于历史趋势预测下月KPI值（简单线性回归）"""
    from datetime import datetime, timedelta
    
    period_str = datetime.now().strftime("%Y-%m")
    next_month = int(period_str[5:7]) + 1
    next_year = int(period_str[:4])
    if next_month > 12:
        next_month = 1
        next_year += 1
    next_period = f"{next_year}-{next_month:02d}"
    
    kpis = db.query(KPIDefinition).filter(
        KPIDefinition.status == "active",
        KPIDefinition.entity_id == entity_id
    ).all()
    predictions = []
    
    for k in kpis:
        values = db.query(KPIValue).filter(
            KPIValue.kpi_id == k.id,
        ).order_by(KPIValue.period.asc()).all()
        
        # 需要至少3个数据点才能做预测
        if len(values) < 3:
            continue
        
        # 简单线性回归: y = a + bx
        points = [(i, v.actual_value) for i, v in enumerate(values) if v.actual_value is not None]
        if len(points) < 3:
            continue
        
        n = len(points)
        sum_x = sum(p[0] for p in points)
        sum_y = sum(p[1] for p in points)
        sum_xy = sum(p[0] * p[1] for p in points)
        sum_xx = sum(p[0] ** 2 for p in points)
        
        # 斜率 b = (n*sum_xy - sum_x*sum_y) / (n*sum_xx - sum_x*sum_x)
        denom = n * sum_xx - sum_x * sum_x
        if denom == 0:
            continue
        b = (n * sum_xy - sum_x * sum_y) / denom
        a = (sum_y - b * sum_x) / n
        
        # 预测下个月（x = n，因为最后一个索引是 n-1）
        predicted_value = a + b * n
        
        # 检查预测值是否触发阈值
        alert_level = "none"
        if k.threshold_red:
            op = k.threshold_red[:2] if k.threshold_red[1] in "=<>" else k.threshold_red[0]
            val = float(k.threshold_red.replace(op, "").strip())
            if (op in (">=", ">") and predicted_value >= val) or (op in ("<=", "<") and predicted_value <= val):
                alert_level = "red"
        if alert_level == "none" and k.threshold_yellow:
            op = k.threshold_yellow[:2] if k.threshold_yellow[1] in "=<>" else k.threshold_yellow[0]
            val = float(k.threshold_yellow.replace(op, "").strip())
            if (op in (">=", ">") and predicted_value >= val) or (op in ("<=", "<") and predicted_value <= val):
                alert_level = "yellow"
        
        predictions.append({
            "kpi_id": k.id,
            "kpi_code": k.kpi_code,
            "kpi_name": k.kpi_name,
            "target_value": k.target_value,
            "last_value": points[-1][1] if points else None,
            "predicted_value": round(predicted_value, 2),
            "predicted_period": next_period,
            "alert_level": alert_level,
            "trend": "up" if b > 0 else ("down" if b < 0 else "stable"),
            "confidence": "high" if len(points) >= 6 else ("medium" if len(points) >= 4 else "low"),
            "data_points": len(points),
        })
    
    return {
        "current_period": period_str,
        "next_period": next_period,
        "predictions": predictions,
        "kpi_count": len(kpis),
        "predictable_count": len(predictions),
    }


# ── 个人工作台 ──────────────────────────────


@router.get("/my-dashboard")
def my_dashboard(
    current_user: User = Depends(require_auth),
    db: Session = Depends(get_db),
    entity_id: int = Depends(get_entity_id),
):
    """个人工作台：返回我的KPI、改善行动、待办提醒（账套隔离: 按token企业过滤）"""
    username = current_user.username
    name = current_user.name
    role = current_user.role

    # 角色预设KPI编码
    ROLE_PRESET_KPIS = {
        "ceo": ["F_REVENUE", "F_NET_PROFIT", "F_COST_RATIO", "C_REBATE_RATE", "P_DELIVERY", "F_FCF"],
        "finance": ["F_REVENUE", "F_NET_PROFIT", "F_COST_RATIO", "F_OP_CFLOW", "F_ROE"],
        "business": ["C_REBATE_RATE", "C_NEW_CLIENTS", "F_REVENUE"],
        "it": [],
    }
    preset_codes = ROLE_PRESET_KPIS.get(role, [])

    # 1. 我的KPI（responsible_user匹配用户名或姓名）+ 角色预设（均按企业隔离）
    assigned_kpis = db.query(KPIDefinition).filter(
        or_(
            KPIDefinition.responsible_user == username,
            KPIDefinition.responsible_user == name,
        ),
        KPIDefinition.status == "active",
        KPIDefinition.entity_id == entity_id,
    ).all()
    assigned_ids = {k.id for k in assigned_kpis}

    # 补充角色预设KPI（去重，按企业隔离）
    preset_kpis = []
    if preset_codes:
        q = db.query(KPIDefinition).filter(
            KPIDefinition.kpi_code.in_(preset_codes),
            KPIDefinition.status == "active",
            KPIDefinition.entity_id == entity_id,
        )
        if assigned_ids:
            q = q.filter(~KPIDefinition.id.in_(assigned_ids))
        preset_kpis = q.all()

    all_kpis = assigned_kpis + preset_kpis

    kpi_list = []
    for k in all_kpis:
        latest_v = db.query(KPIValue).filter(
            KPIValue.kpi_id == k.id
        ).order_by(KPIValue.calculated_at.desc()).first()

        actual = latest_v.actual_value if latest_v else None
        target = kpi_target_by_frequency(k)
        level = "gray"
        if actual is not None and target:
            # 反向指标（越低越好）：费用率/渠补率/应收天数/返利率/成本率
            REVERSE_INDICATORS = {
                "F_COST_RATIO", "C_REBATE_RATE", "F_AR_DAYS",
                "F_REBATE_RATE", "F_FACTORY_REBATE_RATE", "F_COST_CONTROL_RATE",
            }
            if k.kpi_code in REVERSE_INDICATORS:
                # 反向：实际≤目标=绿；实际≤目标*1.1=黄；否则红
                level = "green" if actual <= target else (
                    "yellow" if actual <= target * 1.1 else "red")
            else:
                ratio = actual / target
                level = "green" if ratio >= 0.9 else ("yellow" if ratio >= 0.7 else "red")

        kpi_list.append({
            "id": k.id,
            "kpi_code": k.kpi_code,
            "kpi_name": k.kpi_name,
            "dimension": k.dimension,
            "category": k.category,
            "target_value": target,
            "target_monthly": k.target_monthly,
            "target_quarterly": k.target_quarterly,
            "target_yearly": k.target_yearly,
            "frequency": k.frequency,
            "actual_value": actual,
            "unit": k.unit,
            "level": level,
            "period": latest_v.period if latest_v else None,
        })

    # 2. 我的改善行动（assignee匹配）
    from app.models import ActionPlan
    my_plans = db.query(ActionPlan).filter(
        or_(
            ActionPlan.assignee == username,
            ActionPlan.assignee == name,
        )
    ).order_by(ActionPlan.updated_at.desc()).all()

    plan_list = []
    for p in my_plans:
        overdue = False
        if p.due_date and p.status not in ("completed", "cancelled"):
            overdue = p.due_date < datetime.now()
        kpi_name = ""
        kpi = db.query(KPIDefinition).filter(KPIDefinition.id == p.kpi_id).first()
        if kpi:
            kpi_name = kpi.kpi_name

        plan_list.append({
            "id": p.id,
            "kpi_id": p.kpi_id,
            "kpi_name": kpi_name,
            "title": p.title,
            "assignee": p.assignee,
            "priority": p.priority,
            "status": p.status,
            "progress": p.progress or 0,
            "due_date": p.due_date.isoformat() if p.due_date else None,
            "overdue": overdue,
            "created_at": p.created_at.isoformat() if p.created_at else None,
        })

    # 3. 待办提醒
    reminders = []

    # 逾期行动
    for p in plan_list:
        if p["overdue"]:
            reminders.append({
                "type": "overdue_plan",
                "severity": "danger",
                "message": f"你负责的「{p['title']}」已逾期",
                "related_id": p["id"],
                "related_type": "action_plan",
            })

    # 红色预警KPI
    for k in kpi_list:
        if k["level"] == "red":
            reminders.append({
                "type": "red_kpi",
                "severity": "danger",
                "message": f"你负责的KPI「{k['kpi_name']}」处于红色预警",
                "related_id": k["id"],
                "related_type": "kpi",
            })

    # 黄色预警KPI
    for k in kpi_list:
        if k["level"] == "yellow":
            reminders.append({
                "type": "yellow_kpi",
                "severity": "warning",
                "message": f"你负责的KPI「{k['kpi_name']}」处于黄色预警",
                "related_id": k["id"],
                "related_type": "kpi",
            })

    return {
        "kpis": kpi_list,
        "action_plans": plan_list,
        "reminders": reminders,
    }