a4f66628fd
* initial commit * run parametrized algorithm with command line parameters * skeleton: top level structure * OptimizationNodePacket scheme * pass parameters as HashSet * run Lean and read results * call method on optimization completion * refactor public interfaces - close ParameterSet collection; allow only get operations - explicit method to start LeanOptimizer * synchronize RunLean method; the result could come in before the backtest id is set in the collections * another portion of refactoring and interface changes * comments * comments & tests for Extremum, Minimization and Maximization classes * unify optimization paramater values (min, max, step) & mode GridSearch tests - swap min&max if necessary - iterate left => right (negate step value if necessary) & provide default step value if step == 0 - no StackOverflow Exception - parameterSet Id should be global for current generator and retain between steps - test signle point boundary (min == max) * BruteForceStrategy tests * more comments * Update Optimizer assembly information - Update Optimizer projects assembly information to match behavior of the other projects * Tweaks - Adding comments - Replace OnComplete for Ended event - Replace Abort for Dispose - ConsoleLeanOptimizer will keep track of running processes - Each backtest will store results in a separated directory, so they don't fight for the log.txt file. - Adding cmdline option for lean to close automatically - Adding concurrent execution backtest limit - Console optimizer will start Lean minimized - Escape spaces in Json path * remove parameter set generator abstraction layer we don't need this flexibility now. * refactor public methods; Step shouldn't be public * constraints: wip * define contract * comparison operators and tests * specify JsonProperty values * Move SafeMultiply100 to extensions * Throw exception on failed Optimizer.Start * constraints: wip * change finish & dispose process * minor fixes - handle force lean abort - notify consumer if target has been reached * target & constraints; adapt unit tests * Minor Tweaks and fixes - Some logging improvements - Remove Public since not required * Ignore empty ParameterValue * simplify condition * avoid reinitialization * reduce type; force immutable * unit tests for constraints and target value * parse & normalize percent values, i.e. 20% => 0.2 * fixup * Target & Constraint & OptimizationNodePacket unit tests * Add more json unit tests - Adding more json conversion unit tests. Fix bug for Extremum which wasn't using the converter. * LeanOptimizer tests * Estimation results * User thread safe counters * LeanOptimizer unit tests; push OptimizationResult on Ended event * more unit tests * Minor tweaks -Estimate ToString in a single line. -Typos and missing header file * Add base SendUpdate method - Add base SendUpdate method for LeanOptimizer * fix LeanOptimizer test; rely on internal Update rather than timer * Add OptimizationStatus - Add missing commments and OptimizationStatus * EulerSearch implementation: wip * OptimizationParameter custom converter * change the type * make step optional * change folder structure * enumerate optimization parameter using IEnumerable & IEnumerator * unit tests: parameters & objectives * unit tests: strategies * remove redundant TODO * change Euler search boundaries * more Euler tests * prevent race condition * Add account/read endpoint - Adding account/read endpoint. Adding unit test * Add status check before running lean * Minor self review - Adding missing comments, minor changes * remove array parameters * minor changes - tidy up config file, rename variable - accept min less or equal than max * move OptimizationParameter methods to strategies * Minor improvements for BaseResultHandler derivates * minor changes - strict requirements for Step and MinStep values - strategy specific settigs * Add TotalRuntime to estimate Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
206 lines
8.5 KiB
C#
206 lines
8.5 KiB
C#
/*
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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 System.Collections.Generic;
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using System.IO;
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using Newtonsoft.Json;
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using QuantConnect.Python;
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using QuantConnect.Configuration;
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using QuantConnect.Interfaces;
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using QuantConnect.Logging;
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using QuantConnect.Packets;
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using QuantConnect.Util;
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namespace QuantConnect.Queues
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{
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/// <summary>
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/// Implementation of local/desktop job request:
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/// </summary>
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public class JobQueue : IJobQueueHandler
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{
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// The type name of the QuantConnect.Brokerages.Paper.PaperBrokerage
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private static readonly TextWriter Console = System.Console.Out;
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private const string PaperBrokerageTypeName = "PaperBrokerage";
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private const string DefaultHistoryProvider = "SubscriptionDataReaderHistoryProvider";
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private const string DefaultDataQueueHandler = "LiveDataQueue";
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private const string DefaultDataChannelProvider = "DataChannelProvider";
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private bool _liveMode = Config.GetBool("live-mode");
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private static readonly string AccessToken = Config.Get("api-access-token");
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private static readonly int UserId = Config.GetInt("job-user-id", 0);
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private static readonly int ProjectId = Config.GetInt("job-project-id", 0);
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private readonly string AlgorithmTypeName = Config.Get("algorithm-type-name");
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private readonly Language Language = (Language)Enum.Parse(typeof(Language), Config.Get("algorithm-language"));
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/// <summary>
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/// Physical location of Algorithm DLL.
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/// </summary>
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private string AlgorithmLocation
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{
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get
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{
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// we expect this dll to be copied into the output directory
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return Config.Get("algorithm-location", "QuantConnect.Algorithm.CSharp.dll");
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}
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}
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/// <summary>
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/// Initialize the job queue:
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/// </summary>
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public void Initialize(IApi api)
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{
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//
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}
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/// <summary>
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/// Desktop/Local Get Next Task - Get task from the Algorithm folder of VS Solution.
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/// </summary>
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/// <returns></returns>
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public AlgorithmNodePacket NextJob(out string location)
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{
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location = GetAlgorithmLocation();
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Log.Trace($"JobQueue.NextJob(): Selected {location}");
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// check for parameters in the config
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var parameters = new Dictionary<string, string>();
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var parametersConfigString = Config.Get("parameters");
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if (parametersConfigString != string.Empty)
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{
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parameters = JsonConvert.DeserializeObject<Dictionary<string, string>>(parametersConfigString);
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}
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var controls = new Controls()
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{
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MinuteLimit = Config.GetInt("symbol-minute-limit", 10000),
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SecondLimit = Config.GetInt("symbol-second-limit", 10000),
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TickLimit = Config.GetInt("symbol-tick-limit", 10000),
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RamAllocation = int.MaxValue,
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MaximumDataPointsPerChartSeries = Config.GetInt("maximum-data-points-per-chart-series", 4000)
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};
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if ((Language)Enum.Parse(typeof(Language), Config.Get("algorithm-language")) == Language.Python)
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{
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// Set the python path for loading python algorithms ("algorithm-location" config parameter)
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var pythonFile = new FileInfo(location);
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// PythonInitializer automatically adds the current working directory for us
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PythonInitializer.SetPythonPathEnvironmentVariable(new string[] { pythonFile.Directory.FullName });
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}
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var algorithmId = Config.Get("algorithm-id", AlgorithmTypeName);
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//If this isn't a backtesting mode/request, attempt a live job.
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if (_liveMode)
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{
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var liveJob = new LiveNodePacket
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{
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Type = PacketType.LiveNode,
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Algorithm = File.ReadAllBytes(AlgorithmLocation),
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Brokerage = Config.Get("live-mode-brokerage", PaperBrokerageTypeName),
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HistoryProvider = Config.Get("history-provider", DefaultHistoryProvider),
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DataQueueHandler = Config.Get("data-queue-handler", DefaultDataQueueHandler),
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DataChannelProvider = Config.Get("data-channel-provider", DefaultDataChannelProvider),
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Channel = AccessToken,
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UserToken = AccessToken,
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UserId = UserId,
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ProjectId = ProjectId,
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Version = Globals.Version,
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DeployId = algorithmId,
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Parameters = parameters,
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Language = Language,
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Controls = controls
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};
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try
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{
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// import the brokerage data for the configured brokerage
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var brokerageFactory = Composer.Instance.Single<IBrokerageFactory>(factory => factory.BrokerageType.MatchesTypeName(liveJob.Brokerage));
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liveJob.BrokerageData = brokerageFactory.BrokerageData;
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}
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catch (Exception err)
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{
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Log.Error(err, $"Error resolving BrokerageData for live job for brokerage {liveJob.Brokerage}");
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}
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return liveJob;
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}
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//Default run a backtesting job.
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var backtestJob = new BacktestNodePacket(0, 0, "", new byte[] {}, "local")
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{
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Type = PacketType.BacktestNode,
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Algorithm = File.ReadAllBytes(AlgorithmLocation),
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HistoryProvider = Config.Get("history-provider", DefaultHistoryProvider),
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Channel = AccessToken,
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UserToken = AccessToken,
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UserId = UserId,
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ProjectId = ProjectId,
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Version = Globals.Version,
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BacktestId = algorithmId,
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Language = Language,
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Parameters = parameters,
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Controls = controls
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};
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return backtestJob;
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}
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/// <summary>
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/// Get the algorithm location for client side backtests.
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/// </summary>
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/// <returns></returns>
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private string GetAlgorithmLocation()
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{
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if (Language == Language.Python)
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{
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var pythonSource = AlgorithmTypeName + ".py";
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if (!File.Exists(pythonSource))
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{
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// Copies file to execution location
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foreach (var file in new DirectoryInfo(Path.GetDirectoryName(AlgorithmLocation)).GetFiles("*.py"))
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{
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file.CopyTo(file.FullName.Replace(file.DirectoryName, Environment.CurrentDirectory), true);
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}
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if (!File.Exists(pythonSource))
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{
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throw new FileNotFoundException($"JobQueue.TryCreatePythonAlgorithm(): Unable to find py file: {pythonSource}");
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}
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}
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}
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return AlgorithmLocation;
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}
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/// <summary>
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/// Desktop/Local acknowledge the task processed. Nothing to do.
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/// </summary>
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/// <param name="job"></param>
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public void AcknowledgeJob(AlgorithmNodePacket job)
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{
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// Make the console window pause so we can read log output before exiting and killing the application completely
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Console.WriteLine("Engine.Main(): Analysis Complete.");
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// closing automatically is useful for optimization, we don't want to leave open all the ended lean instances
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if (!Config.GetBool("close-automatically"))
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{
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Console.WriteLine("Engine.Main(): Press any key to continue.");
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System.Console.Read();
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}
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}
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}
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}
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