import os
from typing import Any
from datetime import datetime

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.leakage_identifier import (
    get_leakage_identify_scheme_detail,
    list_leakage_identify_schemes,
    run_leakage_identification,
)

router = APIRouter()
DEFAULT_N_WORKERS = max(1, min((os.cpu_count() or 1) - 1, 4))


class LeakageIdentifyRequest(BaseModel):
    """漏损识别请求模型"""
    network: str = Field(..., description="管网名称（或数据库名称）")
    observed_pressure_data: str | dict[str, list[Any]] | list[dict[str, Any]] | None = Field(
        None, description="观测的压力数据"
    )
    start_time: float = Field(0, description="起始时间（小时）")
    duration: float = Field(24, description="持续时间（小时）")
    timestep: float = Field(5, description="时间步长（分钟）")
    q_sum: float = Field(0.2, description="总流量（m3/s）")
    q_sum_unit: str = Field("m3/s", description="流量单位")
    output_dir: str = Field("db_inp", description="输出目录")
    pop_size: int = Field(50, description="种群大小")
    max_gen: int = Field(100, description="最大代数")
    n_workers: int = Field(DEFAULT_N_WORKERS, description="工作线程数")
    output_flow_unit: str = Field("m3/s", description="输出流量单位")
    dma_count: int | None = Field(None, description="DMA区域数量")
    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")


@router.post(
    "/identify/",
    summary="执行漏损识别",
    description="基于压力观测数据和遗传算法识别管网中的漏损位置和大小"
)
async def identify_leakage(
    data: LeakageIdentifyRequest = Body(..., description="漏损识别请求数据"),
    username: str = Depends(get_current_keycloak_username),
) -> dict[str, Any]:
    """
    执行漏损识别分析。
    
    使用遗传算法对比模型计算和实测压力数据，
    识别管网中的漏损节点和漏水量。
    
    Args:
        data: 包含管网名称（或数据库名称）、压力数据及优化参数的请求体
        username: 当前认证用户名
        
    Returns:
        包含识别结果的字典
        
    Raises:
        HTTPException: 当处理过程中发生错误时
    """
    try:
        return run_leakage_identification(**data.model_dump(), username=username)
    except Exception as exc:
        raise HTTPException(status_code=400, detail=str(exc))


@router.get(
    "/schemes/",
    summary="查询漏损识别方案列表",
    description="获取指定网络的所有漏损识别方案"
)
async def query_leakage_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]]:
    """
    获取漏损识别方案列表。
    
    查询指定网络的所有已配置的漏损识别方案，
    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:
        漏损识别方案列表
        
    Raises:
        HTTPException: 当查询失败时
    """
    try:
        return list_leakage_identify_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="获取漏损识别方案详情",
    description="获取指定漏损识别方案的详细信息"
)
async def query_leakage_scheme_detail(
    network: str = Query(..., description="管网名称（或数据库名称）"),
    scheme_name: str = Path(..., description="漏损识别方案名称")
) -> dict[str, Any]:
    """
    获取漏损识别方案详情。
    
    查询指定漏损识别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: 漏损识别方案名称
        
    Returns:
        包含方案详情的字典
        
    Raises:
        HTTPException: 当查询失败时
    """
    try:
        return get_leakage_identify_scheme_detail(
            network=network, scheme_name=scheme_name
        )
    except Exception as exc:
        raise HTTPException(status_code=400, detail=str(exc))