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Yi.Admin/Yi.Abp.Net8/module/ai-hub/Yi.Framework.AiHub.Application/Services/UsageStatisticsService.cs

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using Mapster;
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using Microsoft.AspNetCore.Authorization;
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using Microsoft.AspNetCore.Mvc;
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using SqlSugar;
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using Volo.Abp.Application.Dtos;
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using Volo.Abp.Application.Services;
using Volo.Abp.Users;
using Yi.Framework.AiHub.Application.Contracts.Dtos.UsageStatistics;
using Yi.Framework.AiHub.Application.Contracts.IServices;
using Yi.Framework.AiHub.Domain.Entities;
using Yi.Framework.AiHub.Domain.Entities.Chat;
using Yi.Framework.AiHub.Domain.Entities.Model;
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using Yi.Framework.AiHub.Domain.Entities.OpenApi;
using Yi.Framework.AiHub.Domain.Extensions;
using Yi.Framework.AiHub.Domain.Managers;
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using Yi.Framework.AiHub.Domain.Shared.Consts;
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using Yi.Framework.Ddd.Application.Contracts;
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using Yi.Framework.SqlSugarCore.Abstractions;
namespace Yi.Framework.AiHub.Application.Services;
/// <summary>
/// 使用量统计服务
/// </summary>
[Authorize]
public class UsageStatisticsService : ApplicationService, IUsageStatisticsService
{
private readonly ISqlSugarRepository<MessageAggregateRoot> _messageRepository;
private readonly ISqlSugarRepository<UsageStatisticsAggregateRoot> _usageStatisticsRepository;
private readonly ISqlSugarRepository<PremiumPackageAggregateRoot> _premiumPackageRepository;
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private readonly ISqlSugarRepository<TokenAggregateRoot> _tokenRepository;
private readonly ModelManager _modelManager;
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public UsageStatisticsService(
ISqlSugarRepository<MessageAggregateRoot> messageRepository,
ISqlSugarRepository<UsageStatisticsAggregateRoot> usageStatisticsRepository,
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ISqlSugarRepository<PremiumPackageAggregateRoot> premiumPackageRepository,
ISqlSugarRepository<TokenAggregateRoot> tokenRepository,
ModelManager modelManager)
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{
_messageRepository = messageRepository;
_usageStatisticsRepository = usageStatisticsRepository;
_premiumPackageRepository = premiumPackageRepository;
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_tokenRepository = tokenRepository;
_modelManager = modelManager;
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}
/// <summary>
/// 获取当前用户近7天的Token消耗统计
/// </summary>
/// <returns>每日Token使用量列表</returns>
public async Task<List<DailyTokenUsageDto>> GetLast7DaysTokenUsageAsync([FromQuery] UsageStatisticsGetInput input)
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{
var userId = CurrentUser.GetId();
var endDate = DateTime.Today;
var startDate = endDate.AddDays(-6); // 近7天
// 从Message表统计近7天的token消耗
var dailyUsage = await _messageRepository._DbQueryable
.Where(x => x.UserId == userId)
.Where(x => x.Role == "system")
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.Where(x => x.CreationTime >= startDate && x.CreationTime < endDate.AddDays(1))
.WhereIF(input.TokenId.HasValue, x => x.TokenId == input.TokenId)
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.GroupBy(x => x.CreationTime.Date)
.Select(g => new
{
Date = g.CreationTime.Date,
Tokens = SqlFunc.AggregateSum(g.TokenUsage.TotalTokenCount)
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})
.ToListAsync();
// 生成完整的7天数据包括没有使用记录的日期
var result = new List<DailyTokenUsageDto>();
for (int i = 0; i < 7; i++)
{
var date = startDate.AddDays(i);
var usage = dailyUsage.FirstOrDefault(x => x.Date == date);
result.Add(new DailyTokenUsageDto
{
Date = date,
Tokens = usage?.Tokens ?? 0
});
}
return result.OrderBy(x => x.Date).ToList();
}
/// <summary>
/// 获取当前用户各个模型的Token消耗量及占比
/// </summary>
/// <returns>模型Token使用量列表</returns>
public async Task<List<ModelTokenUsageDto>> GetModelTokenUsageAsync([FromQuery] UsageStatisticsGetInput input)
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{
var userId = CurrentUser.GetId();
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// 从UsageStatistics表获取各模型的token消耗统计按ModelId聚合因为同一模型可能有多个TokenId的记录
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var modelUsages = await _usageStatisticsRepository._DbQueryable
.Where(x => x.UserId == userId)
.WhereIF(input.TokenId.HasValue, x => x.TokenId == input.TokenId)
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.GroupBy(x => x.ModelId)
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.Select(x => new
{
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ModelId = x.ModelId,
TotalTokenCount = SqlFunc.AggregateSum(x.TotalTokenCount)
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})
.ToListAsync();
if (!modelUsages.Any())
{
return new List<ModelTokenUsageDto>();
}
// 计算总token数
var totalTokens = modelUsages.Sum(x => x.TotalTokenCount);
// 计算各模型占比
var result = modelUsages.Select(x => new ModelTokenUsageDto
{
Model = x.ModelId,
Tokens = x.TotalTokenCount,
Percentage = totalTokens > 0 ? Math.Round((decimal)x.TotalTokenCount / totalTokens * 100, 2) : 0
}).OrderByDescending(x => x.Tokens).ToList();
return result;
}
/// <summary>
/// 获取当前用户尊享服务Token用量统计
/// </summary>
/// <returns>尊享服务Token用量统计</returns>
public async Task<PremiumTokenUsageDto> GetPremiumTokenUsageAsync()
{
var userId = CurrentUser.GetId();
// 获取尊享包Token信息
var premiumPackages = await _premiumPackageRepository._DbQueryable
.Where(x => x.UserId == userId && x.IsActive)
.ToListAsync();
var result = new PremiumTokenUsageDto();
if (premiumPackages.Any())
{
// 过滤掉已过期、禁用的包,不过滤用量负数的包
var validPackages = premiumPackages
.Where(p => p.IsAvailable(false))
.ToList();
result.PremiumTotalTokens = validPackages.Sum(x => x.TotalTokens);
result.PremiumUsedTokens = validPackages.Sum(x => x.UsedTokens);
result.PremiumRemainingTokens = validPackages.Sum(x => x.RemainingTokens);
}
return result;
}
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/// <summary>
/// 获取当前用户尊享服务token用量统计列表
/// </summary>
/// <returns></returns>
[HttpGet("usage-statistics/premium-token-usage/list")]
public async Task<PagedResultDto<PremiumTokenUsageGetListOutput>> GetPremiumTokenUsageListAsync(
PremiumTokenUsageGetListInput input)
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{
var userId = CurrentUser.GetId();
RefAsync<int> total = 0;
// 获取尊享包Token信息
var entities = await _premiumPackageRepository._DbQueryable
.Where(x => x.UserId == userId)
.WhereIF(input.IsFree == false, x => x.PurchaseAmount > 0)
.WhereIF(input.IsFree == true, x => x.PurchaseAmount == 0)
.WhereIF(input.StartTime is not null && input.EndTime is not null,
x => x.CreationTime >= input.StartTime && x.CreationTime <= input.EndTime)
.OrderByDescending(x => x.CreationTime)
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.ToPageListAsync(input.SkipCount, input.MaxResultCount, total);
return new PagedResultDto<PremiumTokenUsageGetListOutput>(total,
entities.Adapt<List<PremiumTokenUsageGetListOutput>>());
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}
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/// <summary>
/// 获取当前用户尊享包不同Token用量占比饼图
/// </summary>
/// <returns>各Token的尊享模型用量及占比</returns>
[HttpGet("usage-statistics/premium-token-usage/by-token")]
public async Task<List<TokenPremiumUsageDto>> GetPremiumTokenUsageByTokenAsync()
{
var userId = CurrentUser.GetId();
// 通过ModelManager获取所有尊享模型的ModelId列表
var premiumModelIds = await _modelManager.GetPremiumModelIdsAsync();
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// 从UsageStatistics表获取尊享模型的token消耗统计按TokenId聚合
var tokenUsages = await _usageStatisticsRepository._DbQueryable
.Where(x => x.UserId == userId && premiumModelIds.Contains(x.ModelId))
.GroupBy(x => x.TokenId)
.Select(x => new
{
TokenId = x.TokenId,
TotalTokenCount = SqlFunc.AggregateSum(x.TotalTokenCount)
})
.ToListAsync();
if (!tokenUsages.Any())
{
return new List<TokenPremiumUsageDto>();
}
// 获取用户的所有Token信息用于名称映射
var tokenIds = tokenUsages.Select(x => x.TokenId).ToList();
var tokens = await _tokenRepository._DbQueryable
.Where(x => x.UserId == userId && tokenIds.Contains(x.Id))
.Select(x => new { x.Id, x.Name })
.ToListAsync();
var tokenNameDict = tokens.ToDictionary(x => x.Id, x => x.Name);
// 计算总token数
var totalTokens = tokenUsages.Sum(x => x.TotalTokenCount);
// 计算各Token占比
var result = tokenUsages.Select(x => new TokenPremiumUsageDto
{
TokenId = x.TokenId,
TokenName = x.TokenId == Guid.Empty
? "默认"
: (tokenNameDict.TryGetValue(x.TokenId, out var name) ? name : "其他"),
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Tokens = x.TotalTokenCount,
Percentage = totalTokens > 0 ? Math.Round((decimal)x.TotalTokenCount / totalTokens * 100, 2) : 0
}).OrderByDescending(x => x.Tokens).ToList();
return result;
}
/// <summary>
/// 获取当前用户近24小时每小时Token消耗统计柱状图
/// </summary>
/// <returns>每小时Token使用量列表包含各模型堆叠数据</returns>
public async Task<List<HourlyTokenUsageDto>> GetLast24HoursTokenUsageAsync(
[FromQuery] UsageStatisticsGetInput input)
{
var userId = CurrentUser.GetId();
var now = DateTime.Now;
var startTime = now.AddHours(-23); // 滚动24小时从23小时前到现在
var startHour = new DateTime(startTime.Year, startTime.Month, startTime.Day, startTime.Hour, 0, 0);
// 从Message表查询近24小时的数据只选择需要的字段
var messages = await _messageRepository._DbQueryable
.Where(x => x.UserId == userId)
.Where(x => x.Role == "system")
.Where(x => x.CreationTime >= startHour)
.WhereIF(input.TokenId.HasValue, x => x.TokenId == input.TokenId)
.Select(x => new
{
x.CreationTime,
x.ModelId,
x.TokenUsage.TotalTokenCount
})
.ToListAsync();
// 在内存中按小时和模型分组统计
var hourlyGrouped = messages
.GroupBy(x => new
{
Hour = new DateTime(x.CreationTime.Year, x.CreationTime.Month, x.CreationTime.Day, x.CreationTime.Hour,
0, 0),
x.ModelId
})
.Select(g => new
{
g.Key.Hour,
g.Key.ModelId,
Tokens = g.Sum(x => x.TotalTokenCount)
})
.ToList();
// 生成完整的24小时数据
var result = new List<HourlyTokenUsageDto>();
for (int i = 0; i < 24; i++)
{
var hour = startHour.AddHours(i);
var hourData = hourlyGrouped.Where(x => x.Hour == hour).ToList();
var modelBreakdown = hourData.Select(x => new ModelTokenBreakdownDto
{
ModelId = x.ModelId,
Tokens = x.Tokens
}).ToList();
result.Add(new HourlyTokenUsageDto
{
Hour = hour,
TotalTokens = modelBreakdown.Sum(x => x.Tokens),
ModelBreakdown = modelBreakdown
});
}
return result;
}
/// <summary>
/// 获取当前用户今日各模型使用量统计(卡片列表)
/// </summary>
/// <returns>模型今日使用量列表包含使用次数和总Token</returns>
public async Task<List<ModelTodayUsageDto>> GetTodayModelUsageAsync([FromQuery] UsageStatisticsGetInput input)
{
var userId = CurrentUser.GetId();
var todayStart = DateTime.Today; // 今天凌晨0点
var tomorrowStart = todayStart.AddDays(1);
// 从Message表查询今天的数据只选择需要的字段
var messages = await _messageRepository._DbQueryable
.Where(x => x.UserId == userId)
.Where(x => x.Role == "system")
.Where(x => x.CreationTime >= todayStart && x.CreationTime < tomorrowStart)
.WhereIF(input.TokenId.HasValue, x => x.TokenId == input.TokenId)
.Select(x => new
{
x.ModelId,
x.TokenUsage.TotalTokenCount
})
.ToListAsync();
// 在内存中按模型分组统计
var modelStats = messages
.GroupBy(x => x.ModelId)
.Select(g => new ModelTodayUsageDto
{
ModelId = g.Key,
UsageCount = g.Count(),
TotalTokens = g.Sum(x => x.TotalTokenCount)
})
.OrderByDescending(x => x.TotalTokens)
.ToList();
if (modelStats.Count > 0)
{
var modelIds = modelStats.Select(x => x.ModelId).ToList();
var modelDic = await _modelManager._aiModelRepository._DbQueryable.Where(x => modelIds.Contains(x.ModelId))
.Distinct()
.Where(x=>x.IsEnabled)
.ToDictionaryAsync<string>(x => x.ModelId, y => y.IconUrl);
modelStats.ForEach(x =>
{
if (modelDic.TryGetValue(x.ModelId, out var icon))
{
x.IconUrl = icon;
}
});
}
return modelStats;
}
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}