/* * 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; } } }