/* * 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 System; using System.Linq; using System.Text.RegularExpressions; using Newtonsoft.Json; namespace QuantConnect.Optimizer.Objectives { /// /// Base class for optimization and /// public abstract class Objective { private readonly Regex _targetTemplate = new Regex("['(.+)']"); /// /// Target; property of json file we want to track /// [JsonProperty("target")] public string Target { get; } /// /// Target value /// /// For if defined and backtest complies with the targets then finish optimization /// For non optional, the value of the target constraint [JsonProperty("target-value")] public decimal? TargetValue { get; } /// /// Creates a new instance /// protected Objective(string target, decimal? targetValue) { if (string.IsNullOrEmpty(target)) { throw new ArgumentNullException(nameof(target), "Objective can not be null or empty"); } var objective = target; if (!objective.Contains(".")) { // default path objective = $"Statistics.{objective}"; } // escape empty space in json path Target = string.Join(".", objective.Split('.').Select(s => _targetTemplate.Match(s).Success ? s : $"['{s}']")); TargetValue = targetValue; } } }