Implement B4: Add Predictalytics.Application.Tests project with unit tests for PositionPnLEngine and AnalyticsService

This commit is contained in:
Richard
2026-07-03 11:22:43 +02:00
parent f8c8230d99
commit 7a44914d9d
7 changed files with 459 additions and 1 deletions
@@ -0,0 +1,28 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>net10.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<IsPackable>false</IsPackable>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="coverlet.collector" Version="6.0.4" />
<PackageReference Include="Microsoft.EntityFrameworkCore.InMemory" Version="8.0.11" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.14.1" />
<PackageReference Include="xunit" Version="2.9.3" />
<PackageReference Include="xunit.runner.visualstudio" Version="3.1.4" />
</ItemGroup>
<ItemGroup>
<Using Include="Xunit" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\Predictalytics.Application\Predictalytics.Application.csproj" />
<ProjectReference Include="..\Predictalytics.Domain\Predictalytics.Domain.csproj" />
<ProjectReference Include="..\Predictalytics.Infrastructure\Predictalytics.Infrastructure.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,104 @@
using Microsoft.EntityFrameworkCore;
using Microsoft.Extensions.Logging.Abstractions;
using Predictalytics.Application.Interfaces;
using Predictalytics.Application.Services;
using Predictalytics.Domain.Entities;
using Predictalytics.Domain.Enums;
using Predictalytics.Domain.Interfaces;
using Predictalytics.Infrastructure.Data;
using Predictalytics.Infrastructure.Data.Repositories;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
using Xunit;
namespace Predictalytics.Application.Tests.Services;
public class AnalyticsServiceTests
{
private AppDbContext CreateDbContext()
{
var options = new DbContextOptionsBuilder<AppDbContext>()
.UseInMemoryDatabase(databaseName: Guid.NewGuid().ToString())
.Options;
return new AppDbContext(options);
}
[Fact]
public async Task GetTraderDeepDiveAsync_CalculatesCorrectMetrics()
{
// Arrange
using var db = CreateDbContext();
var traderRepo = new TraderRepository(db);
var tradeRepo = new TradeRepository(db);
var marketRepo = new MarketRepository(db);
var discoveryMock = new MockDiscoveryService();
var providers = new List<IPlatformProvider>();
var analyticsService = new AnalyticsService(
traderRepo,
tradeRepo,
null!, // alertRepo (not used in GetTraderDeepDiveAsync)
null!, // watchlistRepo (not used in GetTraderDeepDiveAsync)
marketRepo,
discoveryMock,
providers,
NullLogger<AnalyticsService>.Instance
);
var trader = new Trader { Id = 1, PlatformUserId = "0x1", DisplayName = "Trader 1" };
db.Traders.Add(trader);
var market = new Market { Id = 10, PlatformMarketId = "pm1", Question = "Q?" };
var outcome = new MarketOutcome { Id = 100, MarketId = 10, Label = "Yes", TokenId = "t100", CurrentPrice = 0.50m };
market.Outcomes.Add(outcome);
db.Markets.Add(market);
var baseTime = DateTime.UtcNow.AddDays(-5);
db.Trades.Add(new Trade
{
Id = 501, TraderId = 1, DbMarketId = 10, MarketOutcomeId = 100,
Side = TradeSide.Buy, Price = 0.40m, Size = 100m, Amount = 40m,
ExecutedAt = baseTime
});
db.Trades.Add(new Trade
{
Id = 502, TraderId = 1, DbMarketId = 10, MarketOutcomeId = 100,
Side = TradeSide.Sell, Price = 0.60m, Size = 100m, Amount = 60m,
ExecutedAt = baseTime.AddHours(24) // 24 hours holding duration
});
db.MarketOutcomePriceSnapshots.Add(new MarketOutcomePriceSnapshot
{
Id = 1, MarketOutcomeId = 100, Price = 0.50m, Timestamp = baseTime.AddHours(2)
});
db.MarketOutcomePriceSnapshots.Add(new MarketOutcomePriceSnapshot
{
Id = 2, MarketOutcomeId = 100, Price = 0.60m, Timestamp = baseTime.AddHours(12)
});
await db.SaveChangesAsync();
// Act
var deepDive = await analyticsService.GetTraderDeepDiveAsync(1);
// Assert
Assert.NotNull(deepDive);
Assert.Equal(24.0, (double)deepDive.AvgHoldDurationHours, 2);
// Entry Quality: Buy at 0.40, subsequent prices are 0.50 and 0.60 (avg 0.55).
// Entry Quality = 50 + ((0.55 - 0.40) / 0.40) * 100 = 50 + 0.375 * 100 = 87.5
Assert.Equal(87.5m, deepDive.EntryQuality);
}
private class MockDiscoveryService : IDiscoveryService
{
public Task<int> ImportTraderAsync(PlatformType platform, string platformUserId, string displayName, CancellationToken ct) => Task.FromResult(0);
public Task ScanTopHoldersAsync(CancellationToken ct) => Task.CompletedTask;
public Task<IReadOnlyList<DiscoveredTrader>> RunDiscoveryAsync(PlatformType platform, CancellationToken ct) => Task.FromResult<IReadOnlyList<DiscoveredTrader>>(new List<DiscoveredTrader>());
}
}
@@ -0,0 +1,150 @@
using Microsoft.EntityFrameworkCore;
using Predictalytics.Domain.Entities;
using Predictalytics.Domain.Enums;
using Predictalytics.Infrastructure.Data;
using Predictalytics.Infrastructure.Services;
using Microsoft.Extensions.Logging.Abstractions;
using System;
using System.Threading.Tasks;
using Xunit;
namespace Predictalytics.Application.Tests.Services;
public class PositionPnLEngineTests
{
private AppDbContext CreateDbContext()
{
var options = new DbContextOptionsBuilder<AppDbContext>()
.UseInMemoryDatabase(databaseName: Guid.NewGuid().ToString())
.Options;
return new AppDbContext(options);
}
[Fact]
public async Task RecalculateTraderPositionsAsync_BuyTrade_CreatesTraderPosition()
{
// Arrange
using var db = CreateDbContext();
var pnlEngine = new PositionPnLEngine(db, NullLogger<PositionPnLEngine>.Instance);
var trader = new Trader { Id = 1, PlatformUserId = "0x1", DisplayName = "Trader 1" };
var market = new Market { Id = 10, PlatformMarketId = "pm1", Question = "Q?" };
var outcome = new MarketOutcome { Id = 100, MarketId = 10, Label = "Yes", TokenId = "t100", CurrentPrice = 0.60m };
market.Outcomes.Add(outcome);
db.Traders.Add(trader);
db.Markets.Add(market);
var buyTrade = new Trade
{
Id = 500,
TraderId = 1,
DbMarketId = 10,
MarketOutcomeId = 100,
Side = TradeSide.Buy,
Price = 0.50m,
Size = 100m,
Amount = 50m,
ExecutedAt = DateTime.UtcNow
};
db.Trades.Add(buyTrade);
await db.SaveChangesAsync();
// Act
await pnlEngine.RecalculateTraderPositionsAsync(1);
// Assert
var pos = await db.TraderPositions.FirstOrDefaultAsync(p => p.TraderId == 1 && p.MarketOutcomeId == 100);
Assert.NotNull(pos);
Assert.Equal(100m, pos.SharesHeld);
Assert.Equal(0.50m, pos.AvgCost);
Assert.Equal(0m, pos.RealizedPnl);
}
[Fact]
public async Task RecalculateTraderPositionsAsync_SellTrade_CalculatesRealizedPnL()
{
// Arrange
using var db = CreateDbContext();
var pnlEngine = new PositionPnLEngine(db, NullLogger<PositionPnLEngine>.Instance);
var trader = new Trader { Id = 1, PlatformUserId = "0x1", DisplayName = "Trader 1" };
var market = new Market { Id = 10, PlatformMarketId = "pm1", Question = "Q?" };
var outcome = new MarketOutcome { Id = 100, MarketId = 10, Label = "Yes", TokenId = "t100", CurrentPrice = 0.60m };
market.Outcomes.Add(outcome);
db.Traders.Add(trader);
db.Markets.Add(market);
// Buy 100 shares at 0.40
db.Trades.Add(new Trade
{
Id = 501, TraderId = 1, DbMarketId = 10, MarketOutcomeId = 100,
Side = TradeSide.Buy, Price = 0.40m, Size = 100m, Amount = 40m,
ExecutedAt = DateTime.UtcNow.AddMinutes(-10)
});
// Sell 50 shares at 0.60
db.Trades.Add(new Trade
{
Id = 502, TraderId = 1, DbMarketId = 10, MarketOutcomeId = 100,
Side = TradeSide.Sell, Price = 0.60m, Size = 50m, Amount = 30m,
ExecutedAt = DateTime.UtcNow
});
await db.SaveChangesAsync();
// Act
await pnlEngine.RecalculateTraderPositionsAsync(1);
// Assert
var pos = await db.TraderPositions.FirstOrDefaultAsync(p => p.TraderId == 1 && p.MarketOutcomeId == 100);
Assert.NotNull(pos);
Assert.Equal(50m, pos.SharesHeld);
Assert.Equal(0.40m, pos.AvgCost); // AvgCost stays at 0.40
Assert.Equal(10m, pos.RealizedPnl); // 50 * (0.60 - 0.40) = 10
}
[Fact]
public async Task RecalculateTraderPositionsAsync_RedeemTrade_CalculatesRedeemPnL()
{
// Arrange
using var db = CreateDbContext();
var pnlEngine = new PositionPnLEngine(db, NullLogger<PositionPnLEngine>.Instance);
var trader = new Trader { Id = 1, PlatformUserId = "0x1", DisplayName = "Trader 1" };
var market = new Market { Id = 10, PlatformMarketId = "pm1", Question = "Q?", IsResolved = true, ResolutionOutcome = "Yes" };
var outcome = new MarketOutcome { Id = 100, MarketId = 10, Label = "Yes", TokenId = "t100", CurrentPrice = 1.00m };
market.Outcomes.Add(outcome);
db.Traders.Add(trader);
db.Markets.Add(market);
// Buy 100 shares at 0.40
db.Trades.Add(new Trade
{
Id = 501, TraderId = 1, DbMarketId = 10, MarketOutcomeId = 100,
Side = TradeSide.Buy, Price = 0.40m, Size = 100m, Amount = 40m,
ExecutedAt = DateTime.UtcNow.AddMinutes(-10)
});
// Redeem at 1.00 (Win)
db.Trades.Add(new Trade
{
Id = 503, TraderId = 1, DbMarketId = 10, MarketOutcomeId = 100,
Side = TradeSide.Redeem, Price = 1.00m, Size = 100m, Amount = 100m,
ExecutedAt = DateTime.UtcNow
});
await db.SaveChangesAsync();
// Act
await pnlEngine.RecalculateTraderPositionsAsync(1);
// Assert
var pos = await db.TraderPositions.FirstOrDefaultAsync(p => p.TraderId == 1 && p.MarketOutcomeId == 100);
Assert.NotNull(pos);
Assert.Equal(0m, pos.SharesHeld);
Assert.Equal(60m, pos.RealizedPnl); // 100 * (1.00 - 0.40) = 60
}
}
@@ -285,7 +285,7 @@ public class AnalyticsService : IAnalyticsService
botIndicators.Count > 0 ? StrategyType.Bot : StrategyType.Unknown;
// Calculate holding duration
var holdDuration = (decimal)CalculateAvgHoldDuration(trades.ToList());
var holdDuration = (decimal)CalculateAvgHoldDuration(trades.OrderBy(t => t.ExecutedAt).ToList());
// Calculate Entry and Exit qualities
var entryQualities = new List<decimal>();
@@ -18,6 +18,7 @@ public static class DependencyInjection
services.AddHostedService<TraderCleanupWorker>();
services.AddHostedService<TraderAnalyticsWorker>();
services.AddHostedService<ScoringAndAlertsWorker>();
services.AddHostedService<TradeRetentionWorker>();
return services;
}
}
@@ -0,0 +1,174 @@
using Microsoft.EntityFrameworkCore;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using Predictalytics.Domain.Entities;
using Predictalytics.Domain.Enums;
using Predictalytics.Infrastructure.Data;
using System;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
namespace Predictalytics.Worker.Services;
/// <summary>
/// Background service for storage optimization.
/// Periodically deletes trades older than the retention window (default 90 days)
/// and compacts high-frequency bot trades older than the compaction threshold (default 14 days)
/// into daily summaries to reduce database row count.
/// </summary>
public class TradeRetentionWorker : BackgroundService
{
private readonly IServiceProvider _services;
private readonly IConfiguration _config;
private readonly ILogger<TradeRetentionWorker> _logger;
private readonly TimeSpan _runInterval = TimeSpan.FromHours(24);
public TradeRetentionWorker(IServiceProvider services, IConfiguration config, ILogger<TradeRetentionWorker> logger)
{
_services = services;
_config = config;
_logger = logger;
}
protected override async Task ExecuteAsync(CancellationToken stoppingToken)
{
_logger.LogInformation("🧹 TradeRetentionWorker started");
await Task.Delay(15000, stoppingToken); // Let system initialize
while (!stoppingToken.IsCancellationRequested)
{
try
{
await RunOptimizationAsync(stoppingToken);
}
catch (Exception ex)
{
_logger.LogError(ex, "Error occurred executing TradeRetentionWorker cycle.");
}
await Task.Delay(_runInterval, stoppingToken);
}
_logger.LogInformation("🧹 TradeRetentionWorker stopped");
}
private async Task RunOptimizationAsync(CancellationToken ct)
{
using var scope = _services.CreateScope();
var db = scope.ServiceProvider.GetRequiredService<AppDbContext>();
// Load configuration values
var retentionDays = _config.GetValue("RetentionSettings:RetentionDays", 90);
var compactionDays = _config.GetValue("RetentionSettings:CompactionDays", 14);
_logger.LogInformation("🧹 TradeRetentionWorker: Starting optimization. RetentionDays={Retention}, CompactionDays={Compaction}",
retentionDays, compactionDays);
var utcNow = DateTime.UtcNow;
var retentionCutoff = utcNow.Date.AddDays(-retentionDays);
var compactionCutoff = utcNow.Date.AddDays(-compactionDays);
// 1. Prune Old Trades (C1 & C2)
_logger.LogInformation("Pruning trades older than {Cutoff}...", retentionCutoff);
var deletedCount = await db.Trades
.Where(t => t.ExecutedAt < retentionCutoff)
.ExecuteDeleteAsync(ct);
_logger.LogInformation("Pruned {Count} old trades from the database.", deletedCount);
// 2. Compact Bot Trades (C3)
_logger.LogInformation("Beginning trade compaction for suspected bots/HF traders older than {Cutoff}...", compactionCutoff);
var botTraderIds = await db.Traders
.Where(t => t.IsSuspectedBot || t.Strategy == StrategyType.Bot)
.Select(t => t.Id)
.ToListAsync(ct);
if (botTraderIds.Count == 0)
{
_logger.LogInformation("No bot/HF traders found for compaction.");
return;
}
_logger.LogInformation("Found {Count} bot/HF traders to process.", botTraderIds.Count);
foreach (var traderId in botTraderIds)
{
if (ct.IsCancellationRequested) break;
// Load candidate trades to compact (older than compactionCutoff, newer than retentionCutoff)
var tradesToCompact = await db.Trades
.Where(t => t.TraderId == traderId &&
t.ExecutedAt >= retentionCutoff &&
t.ExecutedAt < compactionCutoff &&
!t.PlatformTradeId.StartsWith("COMPACT_"))
.ToListAsync(ct);
if (tradesToCompact.Count == 0) continue;
// Group trades by outcome, date, and side to aggregate
var groups = tradesToCompact
.GroupBy(t => new { t.MarketOutcomeId, Date = t.ExecutedAt.Date, t.Side })
.Where(g => g.Count() > 1 && g.Key.MarketOutcomeId.HasValue)
.ToList();
if (groups.Count == 0) continue;
_logger.LogInformation("Compacting {Count} groups of trades for trader {TraderId}...", groups.Count, traderId);
int compactedTradeCount = 0;
foreach (var g in groups)
{
var outcomeId = g.Key.MarketOutcomeId!.Value;
var date = g.Key.Date;
var side = g.Key.Side;
var list = g.ToList();
var totalSize = list.Sum(t => t.Size);
var totalAmount = list.Sum(t => t.Amount);
if (totalSize <= 0) continue;
var weightedAvgPrice = totalAmount / totalSize;
// Grab a representative trade to copy fields
var sample = list.First();
var compactedTrade = new Trade
{
Platform = sample.Platform,
PlatformTradeId = $"COMPACT_{traderId}_{outcomeId}_{date:yyyyMMdd}_{side}",
TraderId = traderId,
MarketId = sample.MarketId,
DbMarketId = sample.DbMarketId,
MarketOutcomeId = outcomeId,
AssetId = sample.AssetId,
Outcome = sample.Outcome,
Side = side,
Price = weightedAvgPrice,
Size = totalSize,
Amount = totalAmount,
ExecutedAt = date.AddHours(12), // Set to noon of that day
TransactionHash = null
};
// Remove the individual trades
db.Trades.RemoveRange(list);
// Add the compacted trade
db.Trades.Add(compactedTrade);
compactedTradeCount += list.Count - 1;
}
if (compactedTradeCount > 0)
{
await db.SaveChangesAsync(ct);
_logger.LogInformation("Reduced row count by {Count} for trader {TraderId}.", compactedTradeCount, traderId);
}
}
_logger.LogInformation("🧹 TradeRetentionWorker: Optimization cycle complete.");
}
}