/*
* 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 Newtonsoft.Json;
using Python.Runtime;
using QuantConnect.Commands;
using QuantConnect.Interfaces;
using System.Collections.Generic;
namespace QuantConnect.Python
{
///
/// Python wrapper for a python defined command type
///
public class CommandPythonWrapper : BasePythonWrapper
{
///
/// Constructor for initialising the class with wrapped object
///
/// Python command type
/// Command data
public CommandPythonWrapper(PyObject type, string data)
: base(validateInterface: false)
{
using var _ = Py.GIL();
var instance = type.Invoke();
SetPythonInstance(instance);
foreach (var kvp in JsonConvert.DeserializeObject>(data))
{
SetProperty(kvp.Key, kvp.Value);
}
}
///
/// Run this command using the target algorithm
///
/// The algorithm instance
/// True if success, false otherwise. Returning null will disable command feedback
public bool? Run(IAlgorithm algorithm)
{
var result = InvokeMethod(nameof(Run), algorithm);
if (result.TryConvert(out var success))
{
return success;
}
return null;
}
}
}