9cdb4a91c5
* Live Coarse universe refactor
- Live trading will source Coarse and Fine fundamental data directly
from disk. Updating unit tests.
* Adds ILiveDataProvider interface
* Adds wrapper for IDataQueueHandler implementations
* Replaces IDataQueueHandler with ILiveDataProvider in
LiveTradingDataFeed
* Edits IDataQueueHandler documentation
* Maintains aggregation for current IDQH impls and skips for ILDF impls
* Note: No unit test was created for this method, go back and TODO
* Protobuf Market data
- Adding protobuf support for Ticks, TradeBars and QuoteBars. Adding
unit tests.
* Adds unit tests for LiveDataAggregator changes
* Fixes bug where custom data was not handled as it was before
* Fixes race condition bug because of variable reuse in class
* Add protobuf extension serialization
* Fixes for protobuf serialization
* Refactor
* Fix OptionChainUniverse
* replace BaseDataExchange pumping ticks with consolidators
* AlpacaBrokerage
* BitfinexBrokerage
* GDAXBrokerage
* OandaBrokerage
* InteractiveBrokers
* TradierBrokerage
* FxcmBrokerage
* PaperBrokerage
* etc
* WIP fixes for existing LTDF unit tests
* Fixes more LTDF unit tests
* make IDataAggregator.Update recieving Generic BaseData rather than Tick
* Change IDataQueueHandler.Subscribe method
* Some fixes after adding new commits
* Adds protobuf (de)serialization support for Dividend and Split
* Serialize protobuf with length prefix
* Fix missing LTDF unit tests
* Adds TiingoNews protobuf definitions
* fix comments
* more fixes on IQFeedDataQueueHandler
* disallow putting ticks into enumerator directly
* ScannableEnumerator tests
* fix OandaBrokerage
* AggregationManager unit tests
* fix AlpacaBrokerage tests
* fix InteractiveBrokers
* fix FxcmBrokerage tests
* call AggregationManager.Remove method on unsubscribe
* fix GDAX existing tests
* Fixes, refactor adding more tests for AggregatorManager
* Adds BenzingaNews protobuf definitions and round trip unit test
* Adds missing TiingoNews unit test to Protobuf round trip tests
* Improve sleep sequence of LiveSynchronizer
* need start aggregating first, and then can subscribe
* More test fixes and refactor
- Refactoring AggregationManager and ScannableEnumerator so the last is
the one that owns the consolidator
- Adding pulse on the main LiveSynchronizer
* Improve performance of LEquityDataSynchronizingEnu
* Add missing Set job packet method
* Minor performance improvements
* Improvements add test timeout
- Improvements adding test timeout to find blocking test in travis
* Improve aggregationManager performance
* Testing improvements for travis
* Remove test timeouts
* More test fixes
- Adding more missing dispose calls and improving determinism
* fix IEXDataQueueHandler and tests
* Final tweaks to LTDF tests
* more AggregationManager tests
* consume and log ticks
* fix test: couldn't subscribe to Forex tickers
* change Resolution for all bar configs
* Improve RealTimeScheduleEventServiceAccuracy
* refactoring: move common code to base class
* fixed bug; unsubscribe SubscriptionDataConfig
* Small performance improvement
* Minor fixes
* Avoid Symbol serialization
* Fixes coarse selection in live mode
* Fix for live coarse
* Adds protobuf (de)serialization support for Robintrack
* Adds round-trip unit test
* Minor performance improvements
* More minor performance improvements
* pass LiveNodePacket through to OandaBrokerage
* Fixes empty list becoming null value when deserializing with protobuf
* Reverts BZ live trading exception removal and fixes tests
* Refactor WorkQueue making it abstract
* Add try catch for composer
* Adds optional data batching period to LiveFillForwardEnumerator
* Override data-queue-handler with config
* Improve PeriodCountConsolidator.Scan performance
* Move batching delay to main Synchornizer thread
* Reverts addition of Robintrack protobuf definitions
* Give priority to config history provider if set
* Add Estimize protobuffing
- Add Estimize protobuffing support. Adding unit tests
* Always dispose of data queue handler
Co-authored-by: Gerardo Salazar <gsalaz9800@gmail.com>
Co-authored-by: Adalyat Nazirov <aenazirov@gmail.com>
116 lines
4.6 KiB
C#
116 lines
4.6 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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*/
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using System;
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using System.Collections.Concurrent;
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using System.Collections.Generic;
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using System.Threading;
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namespace QuantConnect.Lean.Engine.DataFeeds.WorkScheduling
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{
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/// <summary>
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/// This singleton class will create a thread pool to processes work
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/// that will be prioritized based on it's weight
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/// </summary>
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/// <remarks>The threads in the pool will take ownership of the
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/// <see cref="WorkItem"/> and not share it with another thread.
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/// This is required because the data enumerator stack yields, which state
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/// depends on the thread id</remarks>
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public class WeightedWorkScheduler
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{
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/// <summary>
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/// This is the size of each work sprint
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/// </summary>
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public const int WorkBatchSize = 50;
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/// <summary>
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/// This is the maximum size a work item can weigh,
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/// if reached, it will be ignored and not executed until its less
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/// </summary>
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/// <remarks>This is useful to limit RAM and CPU usage</remarks>
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public static int MaxWorkWeight;
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private readonly ConcurrentQueue<WorkItem> _newWork;
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private readonly AutoResetEvent _newWorkEvent;
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/// <summary>
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/// Singleton instance
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/// </summary>
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public static WeightedWorkScheduler Instance = new WeightedWorkScheduler();
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private WeightedWorkScheduler()
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{
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_newWork = new ConcurrentQueue<WorkItem>();
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_newWorkEvent = new AutoResetEvent(false);
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var work = new List<IWorkQueue>();
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var queueManager = new Thread(() =>
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{
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var workersCount = Configuration.Config.GetInt("data-feed-workers-count", Environment.ProcessorCount);
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MaxWorkWeight = Configuration.Config.GetInt("data-feed-max-work-weight", 400);
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var queueName = Configuration.Config.Get("data-feed-queue-type",
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"QuantConnect.Lean.Engine.DataFeeds.WorkScheduling.WorkQueue, QuantConnect.Lean.Engine");
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var queue = Type.GetType(queueName);
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if (queue == null)
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{
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throw new InvalidOperationException($"WeightedWorkScheduler(): Queue type {queueName} not found");
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}
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Logging.Log.Trace($"WeightedWorkScheduler(): will use {workersCount} workers and MaxWorkWeight is {MaxWorkWeight}. Queue type: {queue.Name}");
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for (var i = 0; i < workersCount; i++)
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{
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var workQueue = (IWorkQueue)Activator.CreateInstance(queue);
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work.Add(workQueue);
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var thread = new Thread(() => workQueue.WorkerThread(_newWork, _newWorkEvent))
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{
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IsBackground = true,
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Priority = workQueue.ThreadPriority,
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Name = $"WeightedWorkThread{i}"
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};
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thread.Start();
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}
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// make sure that the WorkQueue are kept sorted and the weights up to date
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while (true)
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{
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Thread.Sleep(TimeSpan.FromMilliseconds(1));
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for (var i = 0; i < work.Count; i++)
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{
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work[i].Sort();
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}
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}
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})
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{
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IsBackground = true,
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Name = "WeightedWorkManager"
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};
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queueManager.Start();
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}
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/// <summary>
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/// Add a new work item to the queue
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/// </summary>
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/// <param name="workFunc">The work function to run</param>
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/// <param name="weightFunc">The weight function.
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/// Work will be sorted in ascending order based on this weight</param>
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public void QueueWork(Func<int, bool> workFunc, Func<int> weightFunc)
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{
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_newWork.Enqueue(new WorkItem(workFunc, weightFunc));
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_newWorkEvent.Set();
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}
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}
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}
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