Files
quantconnect--lean/Algorithm/Execution/ExecutionModelPythonWrapper.cs
T
Jhonathan Abreu 2ddf40b8e9 PEP8 style algorithm API (#7909)
* feat: support snake-case style Python QCAlgorithm implementations

* feat: add unit tests and minor fixes

* feat: implement new BasePythonWrapper class for python wrappers.

Used to cache methods and contains invoke functionality

* feat: make python wrappers implement the new base class for pep8 style support

* feat: keep overriden methods in Algorithm Python Wrapper

* feat: add unit tests for custom models algorithms with PEP8 style

* Bump pythonnet version to 2.0.30

* fix bugs and address peer review

* Address peer review

* Minor revert

* feat: StubsIgnoreAttribute for ignoring members or classes by the stubs generator

* Minor fixes

* Minor fix

* Minor fix

* Bump pythonnet version to 2.0.31

* Added Greeks.Lambda_ alias of Lambda for python compatibility.

Remove unused method
2024-04-12 17:29:15 -03:00

69 lines
3.0 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 Python.Runtime;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Python;
using System;
namespace QuantConnect.Algorithm.Framework.Execution
{
/// <summary>
/// Provides an implementation of <see cref="IExecutionModel"/> that wraps a <see cref="PyObject"/> object
/// </summary>
public class ExecutionModelPythonWrapper : ExecutionModel
{
private readonly BasePythonWrapper<ExecutionModel> _model;
/// <summary>
/// Constructor for initialising the <see cref="IExecutionModel"/> class with wrapped <see cref="PyObject"/> object
/// </summary>
/// <param name="model">Model defining how to execute trades to reach a portfolio target</param>
public ExecutionModelPythonWrapper(PyObject model)
{
_model = new BasePythonWrapper<ExecutionModel>(model, false);
foreach (var attributeName in new[] { "Execute", "OnSecuritiesChanged" })
{
if (!_model.HasAttr(attributeName))
{
throw new NotImplementedException($"IExecutionModel.{attributeName} must be implemented. Please implement this missing method on {model.GetPythonType()}");
}
}
}
/// <summary>
/// Submit orders for the specified portfolio targets.
/// This model is free to delay or spread out these orders as it sees fit
/// </summary>
/// <param name="algorithm">The algorithm instance</param>
/// <param name="targets">The portfolio targets to be ordered</param>
public override void Execute(QCAlgorithm algorithm, IPortfolioTarget[] targets)
{
_model.InvokeMethod(nameof(Execute), algorithm, targets).Dispose();
}
/// <summary>
/// Event fired each time the we add/remove securities from the data feed
/// </summary>
/// <param name="algorithm">The algorithm instance that experienced the change in securities</param>
/// <param name="changes">The security additions and removals from the algorithm</param>
public override void OnSecuritiesChanged(QCAlgorithm algorithm, SecurityChanges changes)
{
_model.InvokeMethod(nameof(OnSecuritiesChanged), algorithm, changes).Dispose();
}
}
}