from datetime import datetime
from typing import Any

from fastapi import APIRouter, Depends, HTTPException, Query, Path, Body
from pydantic import BaseModel, Field

from app.auth.keycloak_dependencies import get_current_keycloak_username
from app.services.burst_detection import (
    get_burst_detection_scheme_detail,
    list_burst_detection_schemes,
    run_burst_detection,
)

router = APIRouter()


class BurstDetectionRequest(BaseModel):
    """爆管检测请求模型"""
    network: str = Field(..., description="管网名称（或数据库名称）")
    observed_pressure_data: (
        dict[str, list[Any]] | list[dict[str, Any]] | list[list[Any]] | None
    ) = Field(
        default=None,
        description=(
            "压力观测数据。支持列式字典 {sensor_id: [values,...]}、"
            "逐时刻对象数组 [{sensor_id: value,...}, ...]、"
            "或二维数组 [[t1_s1, t1_s2], [t2_s1, t2_s2], ...]。"
        ),
    )
    points_per_day: int = Field(1440, description="每天的数据点数")
    mu: int = Field(100, description="异常值检测的参数")
    iforest_params: dict[str, Any] | None = Field(None, description="隔离森林算法参数")
    scada_start: datetime | None = Field(None, description="SCADA数据起始时间")
    scada_end: datetime | None = Field(None, description="SCADA数据结束时间")
    sensor_nodes: list[str] | None = Field(None, description="传感器节点列表")
    scheme_name: str | None = Field(None, description="方案名称")
    data_source: str = Field("monitoring", description="数据来源：monitoring（监测）或simulation（模拟）")
    simulation_scheme_name: str | None = Field(None, description="模拟方案名称")
    simulation_scheme_type: str | None = Field(None, description="模拟方案类型")


@router.post(
    "/detect/",
    summary="执行爆管检测",
    description="基于压力观测数据和其他参数执行爆管检测分析"
)
async def detect_burst(
    data: BurstDetectionRequest = Body(..., description="爆管检测请求数据"),
    username: str = Depends(get_current_keycloak_username),
) -> dict[str, Any]:
    """
    执行爆管检测分析。
    
    使用异常检测算法（隔离森林）识别压力时间序列中的异常，
    将其作为潜在的爆管事件。
    
    Args:
        data: 包含管网名称（或数据库名称）、压力数据及相关参数的请求体
        username: 当前认证用户名
        
    Returns:
        包含检测结果的字典
        
    Raises:
        HTTPException: 当处理过程中发生错误时
    """
    try:
        return run_burst_detection(**data.model_dump(), username=username)
    except Exception as exc:
        raise HTTPException(status_code=400, detail=str(exc))


@router.get(
    "/schemes/",
    summary="查询爆管检测方案列表",
    description="获取指定网络的所有爆管检测方案"
)
async def query_burst_detection_schemes(
    network: str = Query(..., description="管网名称（或数据库名称）"),
    query_date: datetime | None = Query(None, description="查询日期（可选）"),
) -> list[dict[str, Any]]:
    """
    获取爆管检测方案列表。
    
    查询指定网络的所有已配置的爆管检测方案，
    可按日期进行筛选。
    
    Args:
        network: 管网名称（或数据库名称）
        query_date: 查询日期（可选）
        
    Returns:
        爆管检测方案列表
        
    Raises:
        HTTPException: 当查询失败时
    """
    try:
        return list_burst_detection_schemes(network=network, query_date=query_date)
    except Exception as exc:
        raise HTTPException(status_code=400, detail=str(exc))


@router.get(
    "/schemes/{scheme_name}",
    summary="获取爆管检测方案详情",
    description="获取指定爆管检测方案的详细信息"
)
async def query_burst_detection_scheme_detail(
    network: str = Query(..., description="管网名称（或数据库名称）"),
    scheme_name: str = Path(..., description="爆管检测方案名称"),
) -> dict[str, Any]:
    """
    获取爆管检测方案详情。
    
    查询指定爆管检测方案的完整配置和参数信息。
    
    Args:
        network: 管网名称（或数据库名称）
        scheme_name: 爆管检测方案名称
        
    Returns:
        包含方案详情的字典
        
    Raises:
        HTTPException: 当查询失败时
    """
    try:
        return get_burst_detection_scheme_detail(network=network, scheme_name=scheme_name)
    except Exception as exc:
        raise HTTPException(status_code=400, detail=str(exc))