"""
一致性指标 API
按达人、规则类型、时间窗口查询
"""
from datetime import datetime, timedelta, timezone
from fastapi import APIRouter, HTTPException, Query, status

from app.schemas.review import (
    ConsistencyMetricsResponse,
    ConsistencyWindow,
    RuleConsistencyMetric,
    ViolationType,
)

router = APIRouter(prefix="/metrics", tags=["metrics"])


@router.get("/consistency", response_model=ConsistencyMetricsResponse)
async def get_consistency_metrics(
    influencer_id: str = Query(None, description="达人 ID（必填）"),
    window: ConsistencyWindow = Query(ConsistencyWindow.ROLLING_30D, description="计算周期"),
    rule_type: ViolationType = Query(None, description="规则类型筛选"),
) -> ConsistencyMetricsResponse:
    """
    查询一致性指标

    - 按达人 ID 查询
    - 支持 Rolling 30 天、周度快照、月度快照
    - 可按规则类型筛选
    """
    # 验证必填参数
    if not influencer_id:
        raise HTTPException(
            status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
            detail="缺少必填参数: influencer_id",
        )

    # 计算时间范围
    now = datetime.now(timezone.utc)
    if window == ConsistencyWindow.ROLLING_30D:
        period_start = now - timedelta(days=30)
        period_end = now
    elif window == ConsistencyWindow.SNAPSHOT_WEEK:
        # 本周一到现在
        days_since_monday = now.weekday()
        period_start = (now - timedelta(days=days_since_monday)).replace(
            hour=0, minute=0, second=0, microsecond=0
        )
        period_end = now
    else:  # SNAPSHOT_MONTH
        # 本月1号到现在
        period_start = now.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
        period_end = now

    # 生成模拟数据（实际应从数据库查询）
    all_metrics = [
        RuleConsistencyMetric(
            rule_type=ViolationType.FORBIDDEN_WORD,
            total_reviews=100,
            violation_count=5,
            violation_rate=0.05,
        ),
        RuleConsistencyMetric(
            rule_type=ViolationType.COMPETITOR_LOGO,
            total_reviews=100,
            violation_count=2,
            violation_rate=0.02,
        ),
        RuleConsistencyMetric(
            rule_type=ViolationType.DURATION_SHORT,
            total_reviews=100,
            violation_count=8,
            violation_rate=0.08,
        ),
    ]

    # 按规则类型筛选
    if rule_type:
        all_metrics = [m for m in all_metrics if m.rule_type == rule_type]

    return ConsistencyMetricsResponse(
        influencer_id=influencer_id,
        window=window,
        period_start=period_start,
        period_end=period_end,
        metrics=all_metrics,
    )