Files
quantconnect--lean/Tests/Engine/DataFeeds/SubscriptionSynchronizerTests.cs
2026-07-13 13:02:50 +08:00

158 lines
7.1 KiB
C#

/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
using System;
using System.Diagnostics;
using System.Linq;
using System.Threading;
using NUnit.Framework;
using QuantConnect.Algorithm;
using QuantConnect.Data;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Lean.Engine.DataFeeds;
using QuantConnect.Logging;
using QuantConnect.Securities;
using QuantConnect.Util;
namespace QuantConnect.Tests.Engine.DataFeeds
{
[TestFixture, Category("TravisExclude"), Parallelizable(ParallelScope.All)]
public class SubscriptionSynchronizerTests
{
[Test]
[TestCase(1, Resolution.Second)]
[TestCase(20, Resolution.Minute)]
[TestCase(50, Resolution.Minute)]
[TestCase(100, Resolution.Minute)]
[TestCase(250, Resolution.Minute)]
[TestCase(500, Resolution.Hour)]
[TestCase(1000, Resolution.Hour)]
public void SubscriptionSynchronizerPerformance(int securityCount, Resolution resolution)
{
// since data is pre-generated, it's important to use the larger resolutions with large security counts
var algorithm = PerformanceBenchmarkAlgorithms.CreateBenchmarkAlgorithm(securityCount, resolution);
TestSubscriptionSynchronizerSpeed(algorithm);
}
private void TestSubscriptionSynchronizerSpeed(QCAlgorithm algorithm)
{
var feed = new MockDataFeed();
var marketHoursDatabase = MarketHoursDatabase.FromDataFolder();
var symbolPropertiesDataBase = SymbolPropertiesDatabase.FromDataFolder();
var securityService = new SecurityService(
algorithm.Portfolio.CashBook,
marketHoursDatabase,
symbolPropertiesDataBase,
algorithm,
RegisteredSecurityDataTypesProvider.Null,
new SecurityCacheProvider(algorithm.Portfolio),
algorithm: algorithm);
algorithm.Securities.SetSecurityService(securityService);
var dataPermissionManager = new DataPermissionManager();
var dataManager = new DataManager(feed,
new UniverseSelection(algorithm, securityService, dataPermissionManager, TestGlobals.DataProvider),
algorithm,
algorithm.TimeKeeper,
marketHoursDatabase,
false,
RegisteredSecurityDataTypesProvider.Null,
dataPermissionManager);
algorithm.SubscriptionManager.SetDataManager(dataManager);
algorithm.Initialize();
algorithm.PostInitialize();
// set exchanges to be always open
foreach (var kvp in algorithm.Securities)
{
var security = kvp.Value;
security.Exchange = new SecurityExchange(SecurityExchangeHours.AlwaysOpen(security.Exchange.TimeZone));
}
var endTimeUtc = algorithm.EndDate.ConvertToUtc(TimeZones.NewYork);
var startTimeUtc = algorithm.StartDate.ConvertToUtc(TimeZones.NewYork);
var subscriptionBasedTimeProvider = new SubscriptionFrontierTimeProvider(startTimeUtc, dataManager);
var timeSliceFactory = new TimeSliceFactory(algorithm.TimeZone);
var synchronizer = new SubscriptionSynchronizer(dataManager.UniverseSelection, new());
synchronizer.SetTimeProvider(subscriptionBasedTimeProvider);
synchronizer.SetTimeSliceFactory(timeSliceFactory);
var totalDataPoints = 0;
var subscriptions = dataManager.DataFeedSubscriptions;
foreach (var kvp in algorithm.Securities)
{
int dataPointCount;
# pragma warning disable CA2000
var subscription = CreateSubscription(algorithm, kvp.Value, startTimeUtc, endTimeUtc, out dataPointCount);
# pragma warning restore CA2000
subscriptions.TryAdd(subscription);
totalDataPoints += dataPointCount;
}
// log what we're doing
Log.Trace($"Running {subscriptions.Count()} subscriptions with a total of {totalDataPoints} data points. Start: {algorithm.StartDate:yyyy-MM-dd} End: {algorithm.EndDate:yyyy-MM-dd}");
var count = 0;
DateTime currentTime = DateTime.MaxValue;
DateTime previousValue;
var stopwatch = Stopwatch.StartNew();
var enumerator = synchronizer.Sync(subscriptions, CancellationToken.None).GetEnumerator();
do
{
previousValue = currentTime;
enumerator.MoveNext();
var timeSlice = enumerator.Current;
currentTime = timeSlice.Time;
count += timeSlice.DataPointCount;
}
while (currentTime != previousValue);
stopwatch.Stop();
enumerator.DisposeSafely();
var kps = count / 1000d / stopwatch.Elapsed.TotalSeconds;
Log.Trace($"Current Time: {currentTime:u} Elapsed time: {(int)stopwatch.Elapsed.TotalSeconds,4}s KPS: {kps,7:.00} COUNT: {count,10}");
Assert.GreaterOrEqual(count, 100); // this assert is for sanity purpose
dataManager.RemoveAllSubscriptions();
}
private Subscription CreateSubscription(QCAlgorithm algorithm, Security security, DateTime startTimeUtc, DateTime endTimeUtc, out int dataPointCount)
{
var universe = algorithm.UniverseManager.Values.OfType<UserDefinedUniverse>()
.Single(u => u.SelectSymbols(default(DateTime), null).Contains(security.Symbol));
var config = security.Subscriptions.First();
var offsetProvider = new TimeZoneOffsetProvider(TimeZones.NewYork, startTimeUtc, endTimeUtc);
var data = LinqExtensions.Range(algorithm.StartDate, algorithm.EndDate, c => c + config.Increment).Select(time => new DataPoint
{
Time = time,
EndTime = time + config.Increment
})
.Select(d => SubscriptionData.Create(false, config, security.Exchange.Hours, offsetProvider, d, config.DataNormalizationMode))
.ToList();
dataPointCount = data.Count;
var subscriptionRequest = new SubscriptionRequest(false, universe, security, config, startTimeUtc, endTimeUtc);
return new Subscription(subscriptionRequest, data.GetEnumerator(), offsetProvider);
}
private class DataPoint : BaseData
{
// bare bones base data to minimize memory footprint
}
}
}