using JinYuan.Models;
using System;
using System.Collections.Generic;
using System.Globalization;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace JinYuan.Helper
{
    public static class MockDataGenerator
    {
        public static readonly Random _random = new Random();

        // 修改为与实际数据结构匹配的类
        public class ProdData
        {
            public string DisplayTime { get; set; }
            public int ProdIn { get; set; }
            public int ProdOut { get; set; }
            public double OKRatio { get; set; }
        }

        public class AlarmData
        {
            public string DataType { get; set; }
            public int DataCount { get; set; }
        }

        public class NGData
        {
            public string DataType { get; set; }
            public int DataCount { get; set; }
        }

        public static List<Chart12HourData> Generate12HourData()
        {
            var result = new List<Chart12HourData>();
            var random = new Random();

            // 方法1：使用数组预定义顺序
            var timeSlots = new[]
            {
        "08:30", "09:30", "10:30", "11:30", "12:30", "13:30", "14:30", "15:30", "16:30", "17:30",
        "18:30", "19:30", "20:30", "21:30", "22:30", "23:30", "00:30", "01:30", "02:30", "03:30",
        "04:30", "05:30", "06:30", "07:30"
    };

            foreach (var timeSlot in timeSlots)
            {
                var prodIn = random.Next(800, 2000);
                var prodOut = random.Next(700, prodIn);
                var okRatio = Math.Round((double)prodOut / prodIn * 100, 2);

                result.Add(new Chart12HourData
                {
                    DisplayTime = timeSlot,
                    ProdIn = prodIn,
                    ProdOut = prodOut,
                    OKRatio = okRatio.ToString("F2") + "%"
                });
            }

            return result; // 不需要额外排序，因为已经按照需要的顺序生成
        }

        public static List<ChartDataType> GenerateAlarmTop10Data()
        {
            var alarmTypes = new[]
            {
            "设备故障", "原料异常", "温度超限", "压力异常",
            "速度偏差", "位置错误", "通信中断", "电源故障",
            "气压不足", "传感器异常"
        };

            return alarmTypes
                .Select(type => new ChartDataType
                {
                    DataType = type,
                    DataCount = _random.Next(5, 50)
                })
                .OrderByDescending(x => x.DataCount)
                .ToList();
        }

        public static List<ChartDataType> GenerateNGData()
        {
            var ngTypes = new[]
            {
            "尺寸超差", "表面划伤", "变形", "异物",
            "色差", "气泡", "裂纹", "焊接不良"
        };

            return ngTypes
                .Select(type => new ChartDataType
                {
                    DataType = type,
                    DataCount = _random.Next(10, 100)
                })
                .OrderByDescending(x => x.DataCount)
                .ToList();
        }
    }
}