Files
quantconnect--lean/Algorithm.Framework/Alphas/AlphaModelPythonWrapper.cs
T
AlexCatarino 7c6cc4e1dd Refactors AlphaModelPythonWrapper.Name
The cleanest way to get a python type name, when we know it is an instance of a class, is getting the value of the  `__class__.__name__` attribute.

- Changes `CommonAlphaModelTests.ModelNameTest`:
  Since it requires some string manipulation to have the exact model name for C# and Python, we don't define `Name` in the python models and accept the default value from `AlphaModelPythonWrapper.Name`.
2018-04-19 11:28:06 +01:00

100 lines
3.8 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.Data;
using QuantConnect.Data.UniverseSelection;
using System;
using System.Collections.Generic;
namespace QuantConnect.Algorithm.Framework.Alphas
{
/// <summary>
/// Provides an implementation of <see cref="IAlphaModel"/> that wraps a <see cref="PyObject"/> object
/// </summary>
public class AlphaModelPythonWrapper : IAlphaModel, INamedModel
{
private readonly dynamic _model;
public string Name
{
get
{
using (Py.GIL())
{
// if the model defines a Name property then use that
if (_model.HasAttr("Name"))
{
return _model.Name;
}
// if the model does not define a name property, use the python type name
return _model.__class__.__name__;
}
}
}
/// <summary>
/// Constructor for initialising the <see cref="IAlphaModel"/> class with wrapped <see cref="PyObject"/> object
/// </summary>
/// <param name="model">>Model that generates alpha</param>
public AlphaModelPythonWrapper(PyObject model)
{
using (Py.GIL())
{
foreach (var attributeName in new[] { "Update", "OnSecuritiesChanged" })
{
if (!model.HasAttr(attributeName))
{
throw new NotImplementedException($"IAlphaModel.{attributeName} must be implemented. Please implement this missing method on {model.GetPythonType()}");
}
}
}
_model = model;
}
/// <summary>
/// Updates this alpha model with the latest data from the algorithm.
/// This is called each time the algorithm receives data for subscribed securities
/// </summary>
/// <param name="algorithm">The algorithm instance</param>
/// <param name="data">The new data available</param>
/// <returns>The new insights generated</returns>
public IEnumerable<Insight> Update(QCAlgorithmFramework algorithm, Slice data)
{
using (Py.GIL())
{
var insights = _model.Update(algorithm, data) as PyObject;
foreach (PyObject insight in insights)
{
yield return insight.AsManagedObject(typeof(Insight)) as Insight;
}
}
}
/// <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 void OnSecuritiesChanged(QCAlgorithmFramework algorithm, SecurityChanges changes)
{
using (Py.GIL())
{
_model.OnSecuritiesChanged(algorithm, changes);
}
}
}
}