chore: import upstream snapshot with attribution
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/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using Python.Runtime;
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using QuantConnect.Algorithm.Framework.Alphas;
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using QuantConnect.Data.UniverseSelection;
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using QuantConnect.Python;
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using System;
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using System.Collections.Generic;
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namespace QuantConnect.Algorithm.Framework.Portfolio
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{
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/// <summary>
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/// Provides an implementation of <see cref="IPortfolioConstructionModel"/> that wraps a <see cref="PyObject"/> object
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/// </summary>
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public class PortfolioConstructionModelPythonWrapper : PortfolioConstructionModel
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{
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private readonly BasePythonWrapper<PortfolioConstructionModel> _model;
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private readonly bool _implementsDetermineTargetPercent;
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/// <summary>
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/// True if should rebalance portfolio on security changes. True by default
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/// </summary>
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public override bool RebalanceOnSecurityChanges
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{
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get
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{
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return _model.GetProperty<bool>(nameof(RebalanceOnSecurityChanges));
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}
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set
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{
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_model.SetProperty(nameof(RebalanceOnSecurityChanges), value);
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}
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}
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/// <summary>
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/// True if should rebalance portfolio on new insights or expiration of insights. True by default
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/// </summary>
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public override bool RebalanceOnInsightChanges
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{
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get
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{
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return _model.GetProperty<bool>(nameof(RebalanceOnInsightChanges));
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}
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set
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{
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_model.SetProperty(nameof(RebalanceOnInsightChanges), value);
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}
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}
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/// <summary>
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/// Constructor for initialising the <see cref="IPortfolioConstructionModel"/> class with wrapped <see cref="PyObject"/> object
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/// </summary>
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/// <param name="model">Model defining how to build a portfolio from alphas</param>
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public PortfolioConstructionModelPythonWrapper(PyObject model)
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{
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_model = new BasePythonWrapper<PortfolioConstructionModel>(model, false);
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using (Py.GIL())
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{
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foreach (var attributeName in new[] { "CreateTargets", "OnSecuritiesChanged" })
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{
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if (!_model.HasAttr(attributeName))
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{
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throw new NotImplementedException($"IPortfolioConstructionModel.{attributeName} must be implemented. Please implement this missing method on {model.GetPythonType()}");
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}
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}
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_model.InvokeVoidMethod(nameof(SetPythonWrapper), this);
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_implementsDetermineTargetPercent = model.GetPythonMethod("DetermineTargetPercent") != null;
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}
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}
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/// <summary>
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/// Create portfolio targets from the specified insights
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/// </summary>
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/// <param name="algorithm">The algorithm instance</param>
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/// <param name="insights">The insights to create portfolio targets from</param>
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/// <returns>An enumerable of portfolio targets to be sent to the execution model</returns>
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public override IEnumerable<IPortfolioTarget> CreateTargets(QCAlgorithm algorithm, Insight[] insights)
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{
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return _model.InvokeMethodAndEnumerate<IPortfolioTarget>(nameof(CreateTargets), algorithm, insights);
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}
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/// <summary>
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/// Event fired each time the we add/remove securities from the data feed
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/// </summary>
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/// <param name="algorithm">The algorithm instance that experienced the change in securities</param>
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/// <param name="changes">The security additions and removals from the algorithm</param>
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public override void OnSecuritiesChanged(QCAlgorithm algorithm, SecurityChanges changes)
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{
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_model.InvokeVoidMethod(nameof(OnSecuritiesChanged), algorithm, changes);
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}
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/// <summary>
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/// Method that will determine if the portfolio construction model should create a
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/// target for this insight
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/// </summary>
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/// <param name="insight">The insight to create a target for</param>
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/// <returns>True if the portfolio should create a target for the insight</returns>
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protected override bool ShouldCreateTargetForInsight(Insight insight)
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{
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return _model.InvokeMethod<bool>(nameof(ShouldCreateTargetForInsight), insight);
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}
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/// <summary>
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/// Determines if the portfolio should be rebalanced base on the provided rebalancing func,
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/// if any security change have been taken place or if an insight has expired or a new insight arrived
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/// If the rebalancing function has not been provided will return true.
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/// </summary>
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/// <param name="insights">The insights to create portfolio targets from</param>
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/// <param name="algorithmUtc">The current algorithm UTC time</param>
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/// <returns>True if should rebalance</returns>
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protected override bool IsRebalanceDue(Insight[] insights, DateTime algorithmUtc)
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{
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return _model.InvokeMethod<bool>(nameof(IsRebalanceDue), insights, algorithmUtc);
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}
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/// <summary>
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/// Gets the target insights to calculate a portfolio target percent for
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/// </summary>
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/// <returns>An enumerable of the target insights</returns>
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protected override List<Insight> GetTargetInsights()
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{
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return _model.InvokeMethod<List<Insight>>(nameof(GetTargetInsights));
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}
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/// <summary>
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/// Will determine the target percent for each insight
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/// </summary>
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/// <param name="activeInsights">The active insights to generate a target for</param>
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/// <returns>A target percent for each insight</returns>
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protected override Dictionary<Insight, double> DetermineTargetPercent(List<Insight> activeInsights)
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{
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if (!_implementsDetermineTargetPercent)
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{
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// the implementation is in C#
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return _model.InvokeMethod<Dictionary<Insight, double>>(nameof(DetermineTargetPercent), activeInsights);
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}
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return _model.InvokeMethodAndGetDictionary<Insight, double>(nameof(DetermineTargetPercent), activeInsights);
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}
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}
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}
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