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 System;
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using Python.Runtime;
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using QuantConnect.Data;
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using QuantConnect.Python;
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namespace QuantConnect.Indicators
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{
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/// <summary>
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/// Provides a wrapper for <see cref="IndicatorBase{IBaseData}"/> implementations written in python
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/// </summary>
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public class PythonIndicator : IndicatorBase<IBaseData>, IIndicatorWarmUpPeriodProvider
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{
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private static string _isReadyName = nameof(IsReady).ToSnakeCase();
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private PyObject _instance;
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private bool _isReady;
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private bool _pythonIsReadyProperty;
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private BasePythonWrapper<IIndicator> _indicatorWrapper;
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/// <summary>
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/// Initializes a new instance of the PythonIndicator class using the specified name.
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/// </summary>
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/// <remarks>This overload allows inheritance for python classes with no arguments</remarks>
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public PythonIndicator()
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: base("")
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{
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}
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/// <summary>
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/// Initializes a new instance of the PythonIndicator class using the specified name.
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/// </summary>
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/// <remarks>This overload allows inheritance for python classes with multiple arguments</remarks>
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public PythonIndicator(params PyObject[] args)
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: base(GetIndicatorName(args[0]))
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{
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}
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/// <summary>
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/// Initializes a new instance of the PythonIndicator class using the specified name.
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/// </summary>
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/// <param name="indicator">The python implementation of <see cref="IndicatorBase{IBaseDataBar}"/></param>
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public PythonIndicator(PyObject indicator)
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: base(GetIndicatorName(indicator))
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{
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SetIndicator(indicator);
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}
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/// <summary>
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/// Sets the python implementation of the indicator
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/// </summary>
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/// <param name="indicator">The python implementation of <see cref="IndicatorBase{IBaseDataBar}"/></param>
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public void SetIndicator(PyObject indicator)
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{
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_instance = indicator;
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_indicatorWrapper = new BasePythonWrapper<IIndicator>(indicator, validateInterface: false);
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foreach (var attributeName in new[] { "IsReady", "Update", "Value" })
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{
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if (!_indicatorWrapper.HasAttr(attributeName))
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{
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var name = GetIndicatorName(indicator);
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var message = $"Indicator.{attributeName.ToSnakeCase()} must be implemented. " +
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$"Please implement this missing method in {name}";
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if (attributeName == "IsReady")
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{
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message += " or use PythonIndicator as base:" +
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$"{Environment.NewLine}class {name}(PythonIndicator):";
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}
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throw new NotImplementedException(message);
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}
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if (attributeName == "IsReady")
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{
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using (Py.GIL())
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{
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_pythonIsReadyProperty = indicator.GetPythonBoolPropertyWithChecks(_isReadyName) != null;
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}
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}
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}
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WarmUpPeriod = GetIndicatorWarmUpPeriod();
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}
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/// <summary>
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/// Gets a flag indicating when this indicator is ready and fully initialized
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/// </summary>
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public override bool IsReady
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{
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get
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{
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if (_isReady)
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{
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return true;
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}
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if (_pythonIsReadyProperty)
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{
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using (Py.GIL())
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{
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/// We get the property again and convert it to bool
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var property = _instance.GetPythonBoolPropertyWithChecks(_isReadyName);
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return BasePythonWrapper<IIndicator>.PythonRuntimeChecker.ConvertAndDispose<bool>(property, _isReadyName, isMethod: false);
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}
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}
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return _isReady;
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}
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}
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/// <summary>
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/// Required period, in data points, for the indicator to be ready and fully initialized
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/// </summary>
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public int WarmUpPeriod { get; protected set; }
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/// <summary>
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/// Computes the next value of this indicator from the given state
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/// </summary>
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/// <param name="input">The input given to the indicator</param>
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/// <returns>A new value for this indicator</returns>
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protected override decimal ComputeNextValue(IBaseData input)
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{
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_isReady = _indicatorWrapper.InvokeMethod<bool?>(nameof(Update), input)
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?? _indicatorWrapper.GetProperty<bool>(nameof(IsReady));
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return _indicatorWrapper.GetProperty<decimal>("Value");
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}
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/// <summary>
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/// Get the indicator WarmUpPeriod parameter. If not defined, use 0
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/// </summary>
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/// <returns>The WarmUpPeriod of the indicator.</returns>
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private int GetIndicatorWarmUpPeriod()
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{
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return _indicatorWrapper.HasAttr(nameof(WarmUpPeriod)) ? _indicatorWrapper.GetProperty<int>(nameof(WarmUpPeriod)) : 0;
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}
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/// <summary>
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/// Get the indicator Name. If not defined, use the class name
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/// </summary>
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/// <param name="indicator">The python implementation of <see cref="IndicatorBase{IBaseDataBar}"/></param>
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/// <returns>The indicator Name.</returns>
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private static string GetIndicatorName(PyObject indicator)
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{
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using (Py.GIL())
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{
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PyObject name;
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if (indicator.HasAttr("Name"))
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{
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name = indicator.GetAttr("Name");
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}
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else if (indicator.HasAttr("name"))
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{
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name = indicator.GetAttr("name");
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}
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else
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{
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name = indicator.GetAttr("__class__").GetAttr("__name__");
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}
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return name.GetAndDispose<string>();
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}
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}
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}
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}
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