"""
分析模块 - 数据分析、查询和报表
提供轻量级的路由入口，业务逻辑在 AnalyticsService 中实现
"""
from fastapi import APIRouter, HTTPException, Request, Query
from typing import List, Dict, Optional, Any
from datetime import datetime
import logging

from jettask.schemas import TimeRangeQuery
from jettask.services.analytics_service import AnalyticsService
from jettask.backend.namespace_data_access import get_namespace_data_access

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

# 获取全局数据访问实例
data_access = get_namespace_data_access()


# ============ 命名空间管理 ============

@router.get("/namespaces")
async def get_all_namespaces():
    """
    获取所有配置的命名空间列表
    """
    try:
        namespaces = await data_access.get_all_namespaces()
        return {
            "success": True,
            "data": namespaces
        }
    except Exception as e:
        logger.error(f"获取命名空间列表失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


# ============ 队列统计 ============

@router.get("/queue-stats/{namespace}")
async def get_queue_stats(namespace: str):
    """
    获取指定命名空间的队列统计信息
    
    Args:
        namespace: 命名空间名称
    """
    try:
        stats = await data_access.get_queue_stats(namespace)
        return {
            "success": True,
            "data": stats
        }
    except Exception as e:
        logger.error(f"获取队列统计失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


@router.post("/queue-trends/{namespace}")
async def get_queue_trends(namespace: str, request: Request):
    """
    获取队列趋势数据
    
    Args:
        namespace: 命名空间名称
    """
    try:
        # 解析请求体
        body = await request.json() if await request.body() else {}
        
        # 从请求体中获取参数
        time_range = body.get('time_range', '1h')
        queue_name = body.get('queue_name')
        granularity = body.get('granularity', 'minute')
        
        # TODO: 实现队列趋势分析
        return {
            "success": True,
            "namespace": namespace,
            "time_range": time_range,
            "queue_name": queue_name,
            "data": [],
            "granularity": granularity
        }
    except Exception as e:
        logger.error(f"获取队列趋势失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


# ============ 任务分析 ============

@router.post("/task-analysis/{namespace}")
async def analyze_tasks(namespace: str, request: Request):
    """
    分析任务执行情况
    
    Args:
        namespace: 命名空间名称
    """
    try:
        body = await request.json()
        
        # TODO: 实现任务分析逻辑
        return {
            "success": True,
            "data": {
                "total_tasks": 0,
                "success_rate": 0.0,
                "avg_execution_time": 0.0,
                "error_distribution": {}
            }
        }
    except Exception as e:
        logger.error(f"任务分析失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/task-distribution/{namespace}")
async def get_task_distribution(
    namespace: str,
    time_range: str = Query("24h", description="时间范围")
):
    """
    获取任务分布情况
    
    Args:
        namespace: 命名空间名称
        time_range: 时间范围
    """
    try:
        # TODO: 实现任务分布统计
        return {
            "success": True,
            "data": {
                "by_queue": {},
                "by_status": {},
                "by_worker": {},
                "by_hour": []
            }
        }
    except Exception as e:
        logger.error(f"获取任务分布失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


# ============ 性能分析 ============

@router.get("/performance-metrics/{namespace}")
async def get_performance_metrics(
    namespace: str,
    time_range: str = Query("1h", description="时间范围")
):
    """
    获取性能指标
    
    Args:
        namespace: 命名空间名称
        time_range: 时间范围
    """
    try:
        # TODO: 实现性能指标收集
        return {
            "success": True,
            "data": {
                "throughput": 0,
                "latency": {
                    "p50": 0,
                    "p95": 0,
                    "p99": 0
                },
                "error_rate": 0,
                "queue_depth": 0
            }
        }
    except Exception as e:
        logger.error(f"获取性能指标失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/bottlenecks/{namespace}")
async def identify_bottlenecks(namespace: str):
    """
    识别系统瓶颈
    
    Args:
        namespace: 命名空间名称
    """
    try:
        # TODO: 实现瓶颈分析
        return {
            "success": True,
            "data": {
                "slow_queues": [],
                "high_error_queues": [],
                "high_latency_tasks": [],
                "recommendations": []
            }
        }
    except Exception as e:
        logger.error(f"识别瓶颈失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


# ============ 报表生成 ============

@router.post("/reports/generate/{namespace}")
async def generate_report(
    namespace: str,
    request: Request
):
    """
    生成分析报表
    
    Args:
        namespace: 命名空间名称
    """
    try:
        body = await request.json()
        report_type = body.get("report_type", "daily")
        start_time = body.get("start_time")
        end_time = body.get("end_time")
        
        # TODO: 实现报表生成
        return {
            "success": True,
            "data": {
                "report_id": f"report_{namespace}_{datetime.now().strftime('%Y%m%d%H%M%S')}",
                "report_type": report_type,
                "status": "generated",
                "url": None
            }
        }
    except Exception as e:
        logger.error(f"生成报表失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/reports/{report_id}")
async def get_report(report_id: str):
    """
    获取报表内容
    
    Args:
        report_id: 报表ID
    """
    try:
        # TODO: 实现报表获取
        return {
            "success": True,
            "data": {
                "report_id": report_id,
                "content": {},
                "generated_at": datetime.now().isoformat()
            }
        }
    except Exception as e:
        logger.error(f"获取报表失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


# ============ 实时监控 ============

@router.get("/realtime/{namespace}/stats")
async def get_realtime_stats(namespace: str):
    """
    获取实时统计数据
    
    Args:
        namespace: 命名空间名称
    """
    try:
        # TODO: 实现实时统计
        return {
            "success": True,
            "data": {
                "timestamp": datetime.now().isoformat(),
                "active_tasks": 0,
                "queued_tasks": 0,
                "completed_last_minute": 0,
                "failed_last_minute": 0,
                "avg_processing_time": 0.0
            }
        }
    except Exception as e:
        logger.error(f"获取实时统计失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


# ============ 数据导出 ============

@router.post("/export/{namespace}")
async def export_data(
    namespace: str,
    request: Request
):
    """
    导出分析数据
    
    Args:
        namespace: 命名空间名称
    """
    try:
        body = await request.json()
        export_format = body.get("format", "csv")
        data_type = body.get("data_type", "tasks")
        
        # TODO: 实现数据导出
        return {
            "success": True,
            "data": {
                "export_id": f"export_{namespace}_{datetime.now().strftime('%Y%m%d%H%M%S')}",
                "format": export_format,
                "status": "pending",
                "url": None
            }
        }
    except Exception as e:
        logger.error(f"导出数据失败: {e}")
        raise HTTPException(status_code=500, detail=str(e))


__all__ = ['router']