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xiazhengtongxue

2 天以前 5b34a1458e74f8902d01ebd844c2954f554c9e74

 Code/WMS/WIDESEA_WMSServer/WIDESEA_WMSServer/Controllers/Dashboard/DashboardController.cs

@@ -1,272 +1,418 @@
using Microsoft.AspNetCore.Authorization;
using Microsoft.AspNetCore.Mvc;
using SqlSugar;
using WIDESEA_Core;
using WIDESEA_Model.Models;

namespace WIDESEA_WMSServer.Controllers.Dashboard
{
    /// <summary>
    /// 仪表盘
    /// </summary>
    [Route("api/Dashboard")]
    [ApiController]
    public class DashboardController : ControllerBase
    {
        private readonly ISqlSugarClient _db;

        public DashboardController(ISqlSugarClient db)
        {
            _db = db;
        }

        /// <summary>
        /// 总览数据
        /// </summary>
        [HttpGet("Overview"), AllowAnonymous]
        public async Task<WebResponseContent> Overview()
        {
            try
            {
                var today = DateTime.Today;
                var firstDayOfMonth = new DateTime(today.Year, today.Month, 1);

                // 今日入库数
                var todayInbound = await _db.Queryable<Dt_Task_Hty>()
                    .Where(t => t.InsertTime >= today && t.TaskType >= 500 && t.TaskType < 600)
                    .CountAsync();

                // 今日出库数
                var todayOutbound = await _db.Queryable<Dt_Task_Hty>()
                    .Where(t => t.InsertTime >= today && t.TaskType >= 100 && t.TaskType < 200)
                    .CountAsync();

                // 本月入库数
                var monthInbound = await _db.Queryable<Dt_Task_Hty>()
                    .Where(t => t.InsertTime >= firstDayOfMonth && t.TaskType >= 500 && t.TaskType < 600)
                    .CountAsync();

                // 本月出库数
                var monthOutbound = await _db.Queryable<Dt_Task_Hty>()
                    .Where(t => t.InsertTime >= firstDayOfMonth && t.TaskType >= 100 && t.TaskType < 200)
                    .CountAsync();

                // 当前总库存
                var totalStock = await _db.Queryable<Dt_StockInfo>().CountAsync();

                return WebResponseContent.Instance.OK(null, new
                {
                    TodayInbound = todayInbound,
                    TodayOutbound = todayOutbound,
                    MonthInbound = monthInbound,
                    MonthOutbound = monthOutbound,
                    TotalStock = totalStock
                });
            }
            catch (Exception ex)
            {
                return WebResponseContent.Instance.Error($"总览数据获取失败: {ex.Message}");
            }
        }

        /// <summary>
        /// 每日统计
        /// </summary>
        /// <remarks>
        /// 注意：数据在 SQL 层过滤后，在应用层按日期分组。
        /// SqlSugar 的 GroupBy 不支持对 .Date 这样的计算列直接生成 SQL GROUP BY，
        /// 因此采用此方式以确保跨数据库兼容性。
        /// </remarks>
        [HttpGet("DailyStats"), AllowAnonymous]
        public async Task<WebResponseContent> DailyStats([FromQuery] int days = 30)
        {
            try
            {
                if (days <= 0) days = 30;
                if (days > 365) days = 365;

                var startDate = DateTime.Today.AddDays(-days + 1);

                var query = await _db.Queryable<Dt_Task_Hty>()
                    .Where(t => t.InsertTime >= startDate)
                    .Select(t => new { t.InsertTime, t.TaskType })
                    .ToListAsync();

                var result = query
                    .GroupBy(t => t.InsertTime.Date)
                    .Select(g => new
                    {
                        Date = g.Key.ToString("yyyy-MM-dd"),
                        Inbound = g.Count(t => t.TaskType >= 500 && t.TaskType < 600),
                        Outbound = g.Count(t => t.TaskType >= 100 && t.TaskType < 200)
                    })
                    .OrderBy(x => x.Date)
                    .ToList();

                return WebResponseContent.Instance.OK(null, result);
            }
            catch (Exception ex)
            {
                return WebResponseContent.Instance.Error($"每日统计获取失败: {ex.Message}");
            }
        }

        /// <summary>
        /// 每周统计
        /// </summary>
        /// <remarks>
        /// 注意：数据在 SQL 层过滤后，在应用层按 ISO 8601 周键分组。
        /// 周键为 "YYYY-Www" 格式，无法直接在 SQL 层用 GROUP BY 实现。
        /// </remarks>
        [HttpGet("WeeklyStats"), AllowAnonymous]
        public async Task<WebResponseContent> WeeklyStats([FromQuery] int weeks = 12)
        {
            try
            {
                if (weeks <= 0) weeks = 12;

                var startDate = DateTime.Today.AddDays(-weeks * 7);

                var query = await _db.Queryable<Dt_Task_Hty>()
                    .Where(t => t.InsertTime >= startDate)
                    .Select(t => new { t.InsertTime, t.TaskType })
                    .ToListAsync();

                var result = query
                    .GroupBy(t => GetWeekKey(t.InsertTime))
                    .Select(g => new
                    {
                        Week = g.Key,
                        Inbound = g.Count(t => t.TaskType >= 500 && t.TaskType < 600),
                        Outbound = g.Count(t => t.TaskType >= 100 && t.TaskType < 200)
                    })
                    .OrderBy(x => x.Week)
                    .ToList();

                return WebResponseContent.Instance.OK(null, result);
            }
            catch (Exception ex)
            {
                return WebResponseContent.Instance.Error($"每周统计获取失败: {ex.Message}");
            }
        }

        private string GetWeekKey(DateTime date)
        {
            // 获取周一开始的周 (ISO 8601)
            var diff = (7 + (date.DayOfWeek - DayOfWeek.Monday)) % 7;
            var monday = date.AddDays(-diff);
            var weekNum = System.Globalization.CultureInfo.InvariantCulture
                .Calendar.GetWeekOfYear(monday, System.Globalization.CalendarWeekRule.FirstFourDayWeek, DayOfWeek.Monday);
            return $"{monday.Year}-W{weekNum:D2}";
        }

        /// <summary>
        /// 每月统计
        /// </summary>
        /// <remarks>
        /// 注意：数据在 SQL 层过滤后，在应用层按年月分组。
        /// SqlSugar 的 GroupBy 不支持匿名对象 (Year, Month) 直接映射到 SQL GROUP BY，
        /// 因此采用此方式以确保跨数据库兼容性。
        /// </remarks>
        [HttpGet("MonthlyStats"), AllowAnonymous]
        public async Task<WebResponseContent> MonthlyStats([FromQuery] int months = 12)
        {
            try
            {
                if (months <= 0) months = 12;

                var startDate = DateTime.Today.AddMonths(-months + 1);
                startDate = new DateTime(startDate.Year, startDate.Month, 1);

                var query = await _db.Queryable<Dt_Task_Hty>()
                    .Where(t => t.InsertTime >= startDate)
                    .Select(t => new { t.InsertTime, t.TaskType })
                    .ToListAsync();

                var result = query
                    .GroupBy(t => new { t.InsertTime.Year, t.InsertTime.Month })
                    .Select(g => new
                    {
                        Month = $"{g.Key.Year}-{g.Key.Month:D2}",
                        Inbound = g.Count(t => t.TaskType >= 500 && t.TaskType < 600),
                        Outbound = g.Count(t => t.TaskType >= 100 && t.TaskType < 200)
                    })
                    .OrderBy(x => x.Month)
                    .ToList();

                return WebResponseContent.Instance.OK(null, result);
            }
            catch (Exception ex)
            {
                return WebResponseContent.Instance.Error($"每月统计获取失败: {ex.Message}");
            }
        }

        /// <summary>
        /// 库存库龄分布
        /// </summary>
        [HttpGet("StockAgeDistribution"), AllowAnonymous]
        public async Task<WebResponseContent> StockAgeDistribution()
        {
            try
            {
                var today = DateTime.Today;

                // 使用 SQL 直接分组统计，避免加载所有数据到内存
                var result = new[]
                {
                    new { Range = "7天内", Count = await _db.Queryable<Dt_StockInfo>().Where(s => SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) <= 7).CountAsync() },
                    new { Range = "7-30天", Count = await _db.Queryable<Dt_StockInfo>().Where(s => SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) > 7 && SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) <= 30).CountAsync() },
                    new { Range = "30-90天", Count = await _db.Queryable<Dt_StockInfo>().Where(s => SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) > 30 && SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) <= 90).CountAsync() },
                    new { Range = "90天以上", Count = await _db.Queryable<Dt_StockInfo>().Where(s => SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) > 90).CountAsync() }
                };

                return WebResponseContent.Instance.OK(null, result);
            }
            catch (Exception ex)
            {
                return WebResponseContent.Instance.Error($"库存库龄分布获取失败: {ex.Message}");
            }
        }

        /// <summary>
        /// 各仓库库存分布
        /// </summary>
        /// <remarks>
        /// 使用 SQL GROUP BY 在数据库层面聚合，避免加载全部库存记录到内存。
        /// </remarks>
        [HttpGet("StockByWarehouse"), AllowAnonymous]
        public async Task<WebResponseContent> StockByWarehouse()
        {
            try
            {
                // 查询仓库名称
                var warehouses = await _db.Queryable<Dt_Warehouse>()
                    .Select(w => new { w.WarehouseId, w.WarehouseName })
                    .ToListAsync();
                var warehouseDict = warehouses.ToDictionary(w => w.WarehouseId, w => w.WarehouseName);

                // 使用 SQL GROUP BY 在数据库层面聚合，仅返回聚合结果
                var stockGroups = await _db.Queryable<Dt_StockInfo>()
                    .GroupBy(s => s.WarehouseId)
                    .Select(s => new { s.WarehouseId, Count = SqlFunc.AggregateCount(s.Id) })
                    .ToListAsync();

                var result = stockGroups
                    .Select(g => new
                    {
                        Warehouse = warehouseDict.TryGetValue(g.WarehouseId, out var name) ? name : $"仓库{g.WarehouseId}",
                        Count = g.Count
                    })
                    .ToList();

                return WebResponseContent.Instance.OK(null, result);
            }
            catch (Exception ex)
            {
                return WebResponseContent.Instance.Error($"各仓库库存分布获取失败: {ex.Message}");
            }
        }
    }
}
using Microsoft.AspNetCore.Authorization;

using Microsoft.AspNetCore.Mvc;

using SqlSugar;

using WIDESEA_Common.LocationEnum;

using WIDESEA_Core;

using WIDESEA_Model.Models;



namespace WIDESEA_WMSServer.Controllers.Dashboard

{

    /// <summary>

    /// 仪表盘

    /// </summary>

    [Route("api/Dashboard")]

    [ApiController]

    public class DashboardController : ControllerBase

    {

        private readonly ISqlSugarClient _db;



        public DashboardController(ISqlSugarClient db)

        {

            _db = db;

        }



        /// <summary>

        /// 总览数据

        /// </summary>

        [HttpGet("Overview"), AllowAnonymous]

        public async Task<WebResponseContent> Overview()

        {

            try

            {

                var today = DateTime.Today;

                var firstDayOfMonth = new DateTime(today.Year, today.Month, 1);



                // 今日入库数

                var todayInbound = await _db.Queryable<Dt_Task_Hty>()

                    .Where(t => t.InsertTime >= today && t.TaskType >= 500 && t.TaskType < 600)

                    .CountAsync();



                // 今日出库数

                var todayOutbound = await _db.Queryable<Dt_Task_Hty>()

                    .Where(t => t.InsertTime >= today && t.TaskType >= 100 && t.TaskType < 200)

                    .CountAsync();



                // 本月入库数

                var monthInbound = await _db.Queryable<Dt_Task_Hty>()

                    .Where(t => t.InsertTime >= firstDayOfMonth && t.TaskType >= 500 && t.TaskType < 600)

                    .CountAsync();



                // 本月出库数

                var monthOutbound = await _db.Queryable<Dt_Task_Hty>()

                    .Where(t => t.InsertTime >= firstDayOfMonth && t.TaskType >= 100 && t.TaskType < 200)

                    .CountAsync();



                // 当前总库存

                var totalStock = await _db.Queryable<Dt_StockInfo>().CountAsync();



                return WebResponseContent.Instance.OK(null, new

                {

                    TodayInbound = todayInbound,

                    TodayOutbound = todayOutbound,

                    MonthInbound = monthInbound,

                    MonthOutbound = monthOutbound,

                    TotalStock = totalStock

                });

            }

            catch (Exception ex)

            {

                return WebResponseContent.Instance.Error($"总览数据获取失败: {ex.Message}");

            }

        }



        /// <summary>

        /// 每日统计（按巷道号分组，指定仓库）

        /// </summary>

        [HttpGet("DailyStats"), AllowAnonymous]

        public async Task<WebResponseContent> DailyStats([FromQuery] int days = 10)

        {

            try

            {

                if (days <= 0) days = 30;

                if (days > 365) days = 365;



                var startDate = DateTime.Today.AddDays(-days + 1);

                var endDate = DateTime.Today; // 包含今天



                // 指定要统计的仓库（巷道号）

                var specifiedRoadways = new List<string>

        {

            "GWSC1", "CWSC1", "HCSC1", "ZJSC1", "FJSC1"

        };



                var query = await _db.Queryable<Dt_Task_Hty>()

                    .Where(t => t.InsertTime >= startDate && t.InsertTime <= endDate)

                    .Where(t => specifiedRoadways.Contains(t.Roadway)) // 只查询指定巷道号的数据

                    .Select(t => new { t.InsertTime, t.TaskType, t.Roadway })

                    .ToListAsync();



                // 生成日期范围

                var allDates = new List<DateTime>();

                for (var date = startDate; date <= endDate; date = date.AddDays(1))

                {

                    allDates.Add(date);

                }



                // 按巷道号和日期分组统计

                var groupedData = query

                    .GroupBy(t => new { t.Roadway, Date = t.InsertTime.Date })

                    .Select(g => new

                    {

                        Roadway = g.Key.Roadway,

                        Date = g.Key.Date,

                        Inbound = g.Count(t => t.TaskType >= 200 && t.TaskType < 300),

                        Outbound = g.Count(t => t.TaskType >= 100 && t.TaskType < 200)

                    })

                    .ToList();



                // 构建结果：每个指定仓库对应一个日期列表

                var result = specifiedRoadways.Select(roadway =>

                {

                    // 获取该巷道号的分组数据字典

                    var roadwayData = groupedData

                        .Where(g => g.Roadway == roadway)

                        .ToDictionary(x => x.Date, x => x);



                    // 补全缺失日期，确保每天都有数据（默认为0）

                    var dailyStats = allDates.Select(date =>

                    {

                        if (roadwayData.TryGetValue(date, out var data))

                        {

                            return new

                            {

                                Date = date.ToString("MM-dd"),

                                Inbound = data.Inbound,

                                Outbound = data.Outbound

                            };

                        }

                        else

                        {

                            return new

                            {

                                Date = date.ToString("MM-dd"),

                                Inbound = 0,

                                Outbound = 0

                            };

                        }

                    })

                    .OrderBy(x => x.Date)

                    .ToList();



                    return new

                    {

                        Roadway = roadway,

                        DailyStats = dailyStats

                    };

                })

                .ToList();



                return WebResponseContent.Instance.OK(null, result);

            }

            catch (Exception ex)

            {

                return WebResponseContent.Instance.Error($"每日统计获取失败: {ex.Message}");

            }

        }



        /// <summary>

        /// 每周统计

        /// </summary>

        /// <remarks>

        /// 注意：数据在 SQL 层过滤后，在应用层按 ISO 8601 周键分组。

        /// 周键为 "YYYY-Www" 格式，无法直接在 SQL 层用 GROUP BY 实现。

        /// </remarks>

        [HttpGet("WeeklyStats"), AllowAnonymous]

        public async Task<WebResponseContent> WeeklyStats([FromQuery] int weeks = 12)

        {

            try

            {

                if (weeks <= 0) weeks = 12;



                var startDate = DateTime.Today.AddDays(-weeks * 7);



                var query = await _db.Queryable<Dt_Task_Hty>()

                    .Where(t => t.InsertTime >= startDate)

                    .Select(t => new { t.InsertTime, t.TaskType })

                    .ToListAsync();



                var result = query

                    .GroupBy(t => GetWeekKey(t.InsertTime))

                    .Select(g => new

                    {

                        Week = g.Key,

                        Inbound = g.Count(t => t.TaskType >= 200 && t.TaskType < 300),

                        Outbound = g.Count(t => t.TaskType >= 100 && t.TaskType < 200)

                    })

                    .OrderBy(x => x.Week)

                    .ToList();



                return WebResponseContent.Instance.OK(null, result);

            }

            catch (Exception ex)

            {

                return WebResponseContent.Instance.Error($"每周统计获取失败: {ex.Message}");

            }

        }



        private string GetWeekKey(DateTime date)

        {

            // 获取周一开始的周 (ISO 8601)

            var diff = (7 + (date.DayOfWeek - DayOfWeek.Monday)) % 7;

            var monday = date.AddDays(-diff);

            var weekNum = System.Globalization.CultureInfo.InvariantCulture

                .Calendar.GetWeekOfYear(monday, System.Globalization.CalendarWeekRule.FirstFourDayWeek, DayOfWeek.Monday);

            return $"{monday.Year}-W{weekNum:D2}";

        }



        /// <remarks>

        /// 按年月统计入站和出站任务数量

        /// </remarks>

        [HttpGet("MonthlyStats"), AllowAnonymous]

        public async Task<WebResponseContent> MonthlyStats([FromQuery] int months = 12, string Roadway = null)

        {

            try

            {

                if (months <= 0) months = 12;



                var startDate = DateTime.Today.AddMonths(-months + 1);

                startDate = new DateTime(startDate.Year, startDate.Month, 1);



                // 仓库名称映射

                var roadwayNames = new Dictionary<string, string>

        {

            { "FJSC1", "负极卷1号仓库" },

            { "ZJSC1", "正极卷1号仓库" },

            { "GWSC1", "高温1号仓库" },

            { "CWSC1", "常温1号仓库" },

            { "HCSC1", "分容1号仓库" }

        };



                // 构建查询

                var query = _db.Queryable<Dt_Task_Hty>()

                    .Where(t => t.InsertTime >= startDate);



                // 如果指定了道路，添加道路过滤条件

                if (!string.IsNullOrEmpty(Roadway))

                {

                    query = query.Where(t => t.Roadway == Roadway);

                }



                var monthlyStats = await query

                    .GroupBy(t => new { t.InsertTime.Year, t.InsertTime.Month })

                    .Select(t => new

                    {

                        Year = t.InsertTime.Year,

                        Month = t.InsertTime.Month,

                        Inbound = SqlFunc.AggregateSum(

                            SqlFunc.IIF(t.TaskType >= 200 && t.TaskType < 300, 1, 0)

                        ),

                        Outbound = SqlFunc.AggregateSum(

                            SqlFunc.IIF(t.TaskType >= 100 && t.TaskType < 200, 1, 0)

                        )

                    })

                    .OrderBy(t => t.Year)

                    .OrderBy(t => t.Month)

                    .ToListAsync();



                // 生成所有需要统计的月份列表

                var allMonths = new List<DateTime>();

                var currentMonth = startDate;

                var endMonth = new DateTime(DateTime.Today.Year, DateTime.Today.Month, 1);



                while (currentMonth <= endMonth)

                {

                    allMonths.Add(currentMonth);

                    currentMonth = currentMonth.AddMonths(1);

                }



                // 将查询结果转换为字典，方便查找

                var statsDict = monthlyStats.ToDictionary(

                    s => $"{s.Year}-{s.Month:D2}",

                    s => new { s.Inbound, s.Outbound }

                );



                // 构建完整的结果列表，包含所有月份

                var result = new List<object>();

                foreach (var month in allMonths)

                {

                    var monthKey = $"{month.Year}-{month.Month:D2}";



                    if (statsDict.TryGetValue(monthKey, out var stat))

                    {

                        result.Add(new

                        {

                            Month = monthKey,

                            Inbound = stat.Inbound,

                            Outbound = stat.Outbound,

                            Roadway = Roadway,

                            RoadwayName = !string.IsNullOrEmpty(Roadway) && roadwayNames.ContainsKey(Roadway)

                                ? roadwayNames[Roadway]

                                : null

                        });

                    }

                    else

                    {

                        result.Add(new

                        {

                            Month = monthKey,

                            Inbound = 0,

                            Outbound = 0,

                            Roadway = Roadway,

                            RoadwayName = !string.IsNullOrEmpty(Roadway) && roadwayNames.ContainsKey(Roadway)

                                ? roadwayNames[Roadway]

                                : null

                        });

                    }

                }



                return WebResponseContent.Instance.OK(null, result);

            }

            catch (Exception ex)

            {

                return WebResponseContent.Instance.Error($"每月统计获取失败: {ex.Message}");

            }

        }

        /// <summary>

        /// 库存库龄分布

        /// </summary>

        [HttpGet("StockAgeDistribution"), AllowAnonymous]

        public async Task<WebResponseContent> StockAgeDistribution()

        {

            try

            {

                var today = DateTime.Today;



                // 使用 SQL 直接分组统计，避免加载所有数据到内存

                var result = new[]

                {

                    new { Range = "7天内", Count = await _db.Queryable<Dt_StockInfo>().Where(s => SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) <= 7).CountAsync() },

                    new { Range = "7-30天", Count = await _db.Queryable<Dt_StockInfo>().Where(s => SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) > 7 && SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) <= 30).CountAsync() },

                    new { Range = "30-90天", Count = await _db.Queryable<Dt_StockInfo>().Where(s => SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) > 30 && SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) <= 90).CountAsync() },

                    new { Range = "90天以上", Count = await _db.Queryable<Dt_StockInfo>().Where(s => SqlFunc.DateDiff(DateType.Day, s.CreateDate, today) > 90).CountAsync() }

                };



                return WebResponseContent.Instance.OK(null, result);

            }

            catch (Exception ex)

            {

                return WebResponseContent.Instance.Error($"库存库龄分布获取失败: {ex.Message}");

            }

        }



        /// <summary>

        /// 各仓库库存分布

        /// </summary>

        /// <remarks>

        /// 使用 SQL GROUP BY 在数据库层面聚合，避免加载全部库存记录到内存。

        /// </remarks>

        [HttpGet("StockByWarehouse"), AllowAnonymous]

        public async Task<WebResponseContent> StockByWarehouse()

        {

            try

            {

                // 查询所有仓库信息

                var warehouses = await _db.Queryable<Dt_Warehouse>()

                    .Select(w => new { w.WarehouseId, w.WarehouseName })

                    .ToListAsync();



                // 查询所有货位信息，按仓库分组统计总数

                var locationGroups = await _db.Queryable<Dt_LocationInfo>()

                    .GroupBy(l => l.WarehouseId)

                    .Select(l => new

                    {

                        WarehouseId = l.WarehouseId,

                        TotalLocations = SqlFunc.AggregateCount(l.Id)

                    })

                    .ToListAsync();



                // 查询状态不为Free的货位信息（有货货位），按仓库分组统计

                var occupiedLocationGroups = await _db.Queryable<Dt_LocationInfo>()

                    .Where(l => l.LocationStatus != (int)LocationStatusEnum.Free)

                    .GroupBy(l => l.WarehouseId)

                    .Select(l => new

                    {

                        WarehouseId = l.WarehouseId,

                        OccupiedLocations = SqlFunc.AggregateCount(l.Id)

                    })

                    .ToListAsync();



                // 将仓库信息与货位统计信息合并

                var result = warehouses.Select(w =>

                {

                    var totalLocations = locationGroups.FirstOrDefault(lg => lg.WarehouseId == w.WarehouseId)?.TotalLocations ?? 0;

                    var occupiedLocations = occupiedLocationGroups.FirstOrDefault(og => og.WarehouseId == w.WarehouseId)?.OccupiedLocations ?? 0;

                    var emptyLocations = totalLocations - occupiedLocations;



                    var occupiedPercentage = totalLocations > 0 ? Math.Round((double)occupiedLocations / totalLocations * 100, 0) : 0.0;

                    var emptyPercentage = totalLocations > 0 ? Math.Round((double)emptyLocations / totalLocations * 100, 0) : 0.0;



                    return new

                    {

                        Warehouse = w.WarehouseName,

                        Total = totalLocations,

                        HasStock = occupiedLocations,

                        NoStock = emptyLocations,

                        HasStockPercentage = $"{occupiedPercentage}%",

                        NoStockPercentage = $"{emptyPercentage}%"

                    };

                }).ToList();



                return WebResponseContent.Instance.OK(null, result);

            }

            catch (Exception ex)

            {

                return WebResponseContent.Instance.Error($"各仓库库存分布获取失败: {ex.Message}");

            }

        }

    }

}