Files
quantconnect--lean/Tests/Algorithm/AlgorithmBenchmarkTests.cs
Jhonathan Abreu c283231d11
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Improve error messages for unsupported Python objects in user-facing APIs (#9607)
* Improve error message when consolidator period Python object is unsupported

* Make unsupported consolidator period error message more concise

* Apply descriptive Python conversion errors to other user-facing sites and add QuoteBarConsolidator.FromResolution

* List available overloads in unsupported Python argument error messages

* Update QuantConnect.pythonnet to 2.0.61

* Update overload hint test expectations to Python-typed signatures

* Exclude PyObject overloads from error hints and update to Python annotation style

* Move PyObject overload filtering from consumers into MethodSignatureFormatter

* Update Python alpha model name expectations for Python-style enum rendering
2026-07-13 09:23:35 -04:00

276 lines
11 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.Collections.Generic;
using NodaTime;
using NUnit.Framework;
using Python.Runtime;
using QuantConnect.Algorithm;
using QuantConnect.Configuration;
using QuantConnect.Interfaces;
using QuantConnect.Packets;
using QuantConnect.Benchmarks;
using QuantConnect.Lean.Engine.DataFeeds;
using QuantConnect.Tests.Engine.DataFeeds;
using QuantConnect.Statistics;
using QuantConnect.Securities;
using System.Linq;
namespace QuantConnect.Tests.Algorithm
{
[TestFixture]
public class AlgorithmBenchmarkTests
{
private TestBenchmarkAlgorithm _algorithm;
[TearDown]
public void TearDown()
{
Config.Reset();
}
[TestCase(SecurityType.Forex)]
[TestCase(SecurityType.Equity)]
[TestCase(SecurityType.Crypto)]
[TestCase(SecurityType.Index)]
[TestCase(SecurityType.Option)]
[TestCase(SecurityType.Future)]
[TestCase(SecurityType.Cfd)]
public void SetBenchmarksSecurityTypes(SecurityType securityType)
{
_algorithm = BenchmarkTestSetupHandler.TestAlgorithm = new TestBenchmarkAlgorithm(securityType);
_algorithm.StartDateToUse = new DateTime(2014, 05, 03);
_algorithm.EndDateToUse = new DateTime(2014, 05, 04);
var results = AlgorithmRunner.RunLocalBacktest(nameof(TestBenchmarkAlgorithm),
new Dictionary<string, string> { { PerformanceMetrics.TotalOrders, "0" } },
Language.CSharp,
AlgorithmStatus.Completed,
setupHandler: "BenchmarkTestSetupHandler");
var benchmark = _algorithm.Benchmark as SecurityBenchmark;
Assert.IsNotNull(benchmark);
Assert.AreEqual(securityType, benchmark.Security.Type);
Assert.IsNull(_algorithm.RunTimeError);
}
[TestCase(Resolution.Daily)]
[TestCase(Resolution.Hour)]
[TestCase(Resolution.Minute)]
[TestCase(Resolution.Second)]
[TestCase(Resolution.Daily, true)]
[TestCase(Resolution.Hour, true)]
[TestCase(Resolution.Minute, true)]
[TestCase(Resolution.Second, true)]
public void MisalignedBenchmarkAndAlgorithmTimeZones(Resolution resolution, bool useUniverseSubscription = false)
{
// Verify that if we have algorithm:
// - subscribed to a daily resolution via universe or directly
// - a benchmark with timezone that is not algorithm time zone
// that we post an warning via log that statistics will be affected
// Setup a empty algorithm for the test
var algorithm = new QCAlgorithm();
var dataManager = new DataManagerStub(algorithm, new MockDataFeed(), liveMode: true);
algorithm.SubscriptionManager.SetDataManager(dataManager);
if (useUniverseSubscription)
{
// Change our universe resolution
algorithm.UniverseSettings.Resolution = resolution;
}
else
{
// subscribe to an equity in our provided resolution
algorithm.AddEquity("AAPL", resolution);
}
// Default benchmark is SPY which is NY TimeZone,
// Set timezone to UTC.
algorithm.SetTimeZone(DateTimeZone.Utc);
algorithm.PostInitialize();
// Verify if our log is there (Should only be there in Daily case)
switch (resolution)
{
case Resolution.Daily:
if (algorithm.LogMessages.TryPeek(out string result))
{
Assert.IsTrue(result.Contains("Using a security benchmark of a different timezone", StringComparison.InvariantCulture));
}
else
{
Assert.Fail("Warning was not posted");
}
break;
default:
Assert.AreEqual(0, algorithm.LogMessages.Count);
break;
}
}
[Test]
public void PythonSetBenchmarkThrowsDescriptiveErrorForUnsupportedBenchmarkType()
{
var algorithm = new QCAlgorithm();
var dataManager = new DataManagerStub(algorithm, new MockDataFeed());
algorithm.SubscriptionManager.SetDataManager(dataManager);
using (Py.GIL())
{
// Not a benchmark producing function nor a symbol
using var pyBenchmark = Resolution.Daily.ToPython();
var exception = Assert.Throws<ArgumentException>(() => algorithm.SetBenchmark(pyBenchmark));
// The value rendering is case-insensitive to support both pythonnet enum str() conventions ("Daily" and "DAILY")
Assert.That(exception.Message, Does.Contain("Daily").IgnoreCase);
Assert.That(exception.Message, Does.Contain("'Resolution'"));
Assert.That(exception.Message, Does.Contain("The following overloads are available:"));
Assert.That(exception.Message, Does.Contain("set_benchmark("));
// The PyObject overload that just rejected the value is not hinted
Assert.That(exception.Message, Does.Not.Contain("benchmark: Any"));
Assert.That(exception.InnerException, Is.TypeOf<InvalidCastException>());
}
}
[Test]
public void BenchmarkIsNotInitializeWithCustomSecurityInitializer()
{
var algorithm = new QCAlgorithm();
var dataManager = new DataManagerStub(algorithm, new MockDataFeed());
algorithm.SubscriptionManager.SetDataManager(dataManager);
var securityInitializer = new CustomSecurityInitializer();
algorithm.SetSecurityInitializer(securityInitializer);
var spy = algorithm.AddEquity("SPY");
algorithm.SetBenchmark("AAPL");
var aapl = (algorithm.Benchmark as SecurityBenchmark).Security;
algorithm.PostInitialize();
Assert.IsTrue(securityInitializer.InitializedSecurities.Contains(spy));
Assert.IsFalse(securityInitializer.InitializedSecurities.Contains(aapl));
}
[Test]
public void BenchmarkIsNotAffectedBySecuritySeederDataNormalizationMode()
{
var algorithm = new TestBenchmarkDataNormalizationModeAlgorithm();
BenchmarkTestSetupHandler.TestAlgorithm = algorithm;
algorithm.StartDateToUse = new DateTime(2013, 10, 07);
algorithm.EndDateToUse = new DateTime(2013, 10, 11);
var results = AlgorithmRunner.RunLocalBacktest(nameof(TestBenchmarkAlgorithm),
new Dictionary<string, string> { { PerformanceMetrics.TotalOrders, "0" } },
Language.CSharp,
AlgorithmStatus.Completed,
setupHandler: nameof(BenchmarkTestSetupHandler));
var benchmark = algorithm.Benchmark as SecurityBenchmark;
Assert.IsNotNull(benchmark);
Assert.AreEqual(Symbols.SPY, benchmark.Security.Symbol);
// All values must be between 142 and 148 (expected adjusted data for the time range) for the benchmark
Assert.IsTrue(algorithm.BenchmarkValues.All(x => x >= 142m && x <= 148m),
$"Benchmark values are:\n{string.Join('\n', algorithm.BenchmarkValues)}");
}
public class BenchmarkTestSetupHandler : AlgorithmRunner.RegressionSetupHandlerWrapper
{
public static TestBenchmarkAlgorithm TestAlgorithm { get; set; }
public override IAlgorithm CreateAlgorithmInstance(AlgorithmNodePacket algorithmNodePacket, string assemblyPath)
{
Algorithm = TestAlgorithm;
return Algorithm;
}
}
public class TestBenchmarkAlgorithm : QCAlgorithm
{
private Symbol _symbol;
public SecurityType SecurityType { get; set; }
public DateTime StartDateToUse { get; set; }
public DateTime EndDateToUse { get; set; }
public int WarmUpDataCount { get; set; }
public TestBenchmarkAlgorithm(SecurityType securityType)
{
SecurityType = securityType;
}
public override void Initialize()
{
SetStartDate(StartDateToUse);
SetEndDate(EndDateToUse);
_symbol = Symbols.GetBySecurityType(SecurityType);
AddSecurity(_symbol);
SetBenchmark(_symbol);
}
}
public class TestBenchmarkDataNormalizationModeAlgorithm : TestBenchmarkAlgorithm
{
public List<decimal> BenchmarkValues { get; } = new();
public TestBenchmarkDataNormalizationModeAlgorithm()
: base(SecurityType.Equity)
{
}
public override void Initialize()
{
SetStartDate(StartDateToUse);
SetEndDate(EndDateToUse);
UniverseSettings.DataNormalizationMode = DataNormalizationMode.Raw;
// If the benchmark is initialized using this security initializer, the security seeder would source data
// for using the data normalization mode from the UniverseSettings, which is set to Raw
SetSecurityInitializer(new BrokerageModelSecurityInitializer(BrokerageModel, new FuncSecuritySeeder(GetLastKnownPrices)));
SetBenchmark("SPY");
Schedule.On(DateRules.EveryDay(), TimeRules.Every(TimeSpan.FromHours(1)), () =>
{
var value = (Benchmark as SecurityBenchmark).Evaluate(UtcTime);
BenchmarkValues.Add(value);
Log($"Benchmark: {value}");
});
}
}
public class CustomSecurityInitializer : ISecurityInitializer
{
public HashSet<Security> InitializedSecurities { get; } = new();
public void Initialize(Security security)
{
InitializedSecurities.Add(security);
}
}
}
}