Files
quantconnect--lean/Common/Data/Slice.cs
T
Jhonathan Abreu e29bb2c5e0
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File-based options universe (#8212)
* Initial options universe with greeks implementation

* Options universe improvements

* Address peer review

* File based options universe fixes and improvements.

- Adjust OptionUniverse start-end times and period.
- Adapt unit tests and some algorithms to pass with new options universe selection.

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Updated options regression algorithms stats for new universe data

* Option chain provider with new options universe

* Allow canonical option history requests

* Address peer review

* Address peer review

* Fix symbols parsing in OptionUniverse

* Fix universe selection subscriptions start time to not include extended market hours

* Minor changes

* Minor changes

* Peer recommended changes and fixes

* Update regression algorithm stats

* Update regression algorithms stats and minor fixes

* Fix option chain provider history request

* Round option indicators values

* Added option universe csv header property

* Update regression algorithms stats

* Update regression algorithms stats

* Data fixes and regression algos stats update

* Unit test fixes

* Minor changes

* Option chain handling in live trading data feed

* Minor changes

* Added processed data provider

* Fix thread-safety violation in Slice class

* Minor change

* Update options filter universe API to use OptionUniverse data

Add new filter methods for greeks, IV and open interest

* Option filter universe api updates

* Add OptionUniverse history regression algorithms

* Add regression algorithms for new options filter universe api methods

* Added options greeks data and updated regression algorithms

* Address peer review

* Address peer review

* Add more assertions to new options filter api regression algorithms

* Minor performance improvement.

Reduce greeks binomial model steps to 140

* Minor tests updates

* Greeks numerical models performance improvements

* Greeks numerical models performance improvements

* Revert array pool change for option pricing numerical models

* Update default dividend yield provider depending on option type

* [TEST]

* Add helper method con calculate time till expiration

* Use double in price option numerical models

* Implied volatility calculation improvements

- Adjust root finding method accuracy as a factor of the option price
- Use BSM to get a first guess

* Cleanup

* Some regression algorithms and unit tests cleanup

* Regression tests updates after rebasing from master

* Add universe files

* Self review and cleanup

* Minor regression tests updates after rebase

* Fix: set data time zone to same as exchange tz for options universes

* Minor change

* Minor change

* Fix for live trading options universe selection

* Keep underlying when aggregating collections in BaseDataCollectionAggregatorEnumerator

* Update index options regression algorithms stats

* Minor change

* Address peer review

* Memory usage improvements

* Minor build fix

* Minor changes and test fixes

* Cache symbols in OptionUniverse

* Cleanup

* Fix index option creation in OptionUniverse

* Use cached underlying SID when parsing from string

* Abstract symbols cache to BaseDataCollection

* Return actual underlying symbol when mapping decomposing ICO ticker

* Address peer review

* Minor performance improvements reduce garbage

* Limit Symbols and SIDs cache size to help with memory usage

* Minor fix in symbols and sid cache cleanup

* Build fix

* Lazily parse greeks on individual access

* Cleanup and tests

* Address peer review

* Minor greeks fix

---------

Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
2024-09-09 12:39:31 -03:00

823 lines
33 KiB
C#

/*
* 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.Collections;
using System.Collections.Generic;
using System.Linq;
using System.Reflection;
using QuantConnect.Data.Custom.IconicTypes;
using QuantConnect.Data.Fundamental;
using QuantConnect.Data.Market;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Python;
namespace QuantConnect.Data
{
/// <summary>
/// Provides a data structure for all of an algorithm's data at a single time step
/// </summary>
public class Slice : ExtendedDictionary<dynamic>, IEnumerable<KeyValuePair<Symbol, BaseData>>
{
private Ticks _ticks;
private TradeBars _bars;
private QuoteBars _quoteBars;
private OptionChains _optionChains;
private FuturesChains _futuresChains;
// aux data
private Splits _splits;
private Dividends _dividends;
private Delistings _delistings;
private SymbolChangedEvents _symbolChangedEvents;
private MarginInterestRates _marginInterestRates;
// string -> data for non-tick data
// string -> list{data} for tick data
private Lazy<DataDictionary<SymbolData>> _data;
// UnlinkedData -> DataDictonary<UnlinkedData>
private Dictionary<Type, object> _dataByType;
/// <summary>
/// All the data hold in this slice
/// </summary>
public List<BaseData> AllData { get; private set; }
/// <summary>
/// Gets the timestamp for this slice of data
/// </summary>
public DateTime Time
{
get; private set;
}
/// <summary>
/// Gets the timestamp for this slice of data in UTC
/// </summary>
public DateTime UtcTime
{
get; private set;
}
/// <summary>
/// Gets whether or not this slice has data
/// </summary>
public bool HasData
{
get; private set;
}
/// <summary>
/// Gets the <see cref="TradeBars"/> for this slice of data
/// </summary>
public TradeBars Bars
{
get { return _bars; }
}
/// <summary>
/// Gets the <see cref="QuoteBars"/> for this slice of data
/// </summary>
public QuoteBars QuoteBars
{
get { return _quoteBars; }
}
/// <summary>
/// Gets the <see cref="Ticks"/> for this slice of data
/// </summary>
public Ticks Ticks
{
get { return _ticks; }
}
/// <summary>
/// Gets the <see cref="OptionChains"/> for this slice of data
/// </summary>
public OptionChains OptionChains
{
get { return _optionChains; }
}
/// <summary>
/// Gets the <see cref="FuturesChains"/> for this slice of data
/// </summary>
public FuturesChains FuturesChains
{
get { return _futuresChains; }
}
/// <summary>
/// Gets the <see cref="FuturesChains"/> for this slice of data
/// </summary>
public FuturesChains FutureChains
{
get { return _futuresChains; }
}
/// <summary>
/// Gets the <see cref="Splits"/> for this slice of data
/// </summary>
public Splits Splits
{
get { return _splits; }
}
/// <summary>
/// Gets the <see cref="Dividends"/> for this slice of data
/// </summary>
public Dividends Dividends
{
get { return _dividends; }
}
/// <summary>
/// Gets the <see cref="Delistings"/> for this slice of data
/// </summary>
public Delistings Delistings
{
get { return _delistings; }
}
/// <summary>
/// Gets the <see cref="Market.SymbolChangedEvents"/> for this slice of data
/// </summary>
public SymbolChangedEvents SymbolChangedEvents
{
get { return _symbolChangedEvents; }
}
/// <summary>
/// Gets the <see cref="Market.MarginInterestRates"/> for this slice of data
/// </summary>
public MarginInterestRates MarginInterestRates
{
get { return _marginInterestRates; }
}
/// <summary>
/// Gets the number of symbols held in this slice
/// </summary>
public virtual int Count
{
get { return _data.Value.Count; }
}
/// <summary>
/// Gets all the symbols in this slice
/// </summary>
public virtual IReadOnlyList<Symbol> Keys
{
get { return new List<Symbol>(_data.Value.Keys); }
}
/// <summary>
/// Gets an <see cref="T:System.Collections.Generic.ICollection`1"/> containing the Symbol objects of the <see cref="T:System.Collections.Generic.IDictionary`2"/>.
/// </summary>
/// <returns>
/// An <see cref="T:System.Collections.Generic.ICollection`1"/> containing the Symbol objects of the object that implements <see cref="T:System.Collections.Generic.IDictionary`2"/>.
/// </returns>
protected override IEnumerable<Symbol> GetKeys => _data.Value.Keys;
/// <summary>
/// Gets an <see cref="T:System.Collections.Generic.ICollection`1"/> containing the values in the <see cref="T:System.Collections.Generic.IDictionary`2"/>.
/// </summary>
/// <returns>
/// An <see cref="T:System.Collections.Generic.ICollection`1"/> containing the values in the object that implements <see cref="T:System.Collections.Generic.IDictionary`2"/>.
/// </returns>
protected override IEnumerable<dynamic> GetValues => GetKeyValuePairEnumerable().Select(data => (dynamic)data.Value);
/// <summary>
/// Gets a list of all the data in this slice
/// </summary>
public virtual IReadOnlyList<BaseData> Values
{
get { return GetKeyValuePairEnumerable().Select(x => x.Value).ToList(); }
}
/// <summary>
/// Initializes a new instance of the <see cref="Slice"/> class, lazily
/// instantiating the <see cref="Slice.Bars"/> and <see cref="Slice.Ticks"/>
/// collections on demand
/// </summary>
/// <param name="time">The timestamp for this slice of data</param>
/// <param name="data">The raw data in this slice</param>
/// <param name="utcTime">The timestamp for this slice of data in UTC</param>
public Slice(DateTime time, IEnumerable<BaseData> data, DateTime utcTime)
: this(time, data.ToList(), utcTime: utcTime)
{
}
/// <summary>
/// Initializes a new instance of the <see cref="Slice"/> class, lazily
/// instantiating the <see cref="Slice.Bars"/> and <see cref="Slice.Ticks"/>
/// collections on demand
/// </summary>
/// <param name="time">The timestamp for this slice of data</param>
/// <param name="data">The raw data in this slice</param>
/// <param name="utcTime">The timestamp for this slice of data in UTC</param>
public Slice(DateTime time, List<BaseData> data, DateTime utcTime)
: this(time, data, CreateCollection<TradeBars, TradeBar>(time, data),
CreateCollection<QuoteBars, QuoteBar>(time, data),
CreateTicksCollection(time, data),
CreateCollection<OptionChains, OptionChain>(time, data),
CreateCollection<FuturesChains, FuturesChain>(time, data),
CreateCollection<Splits, Split>(time, data),
CreateCollection<Dividends, Dividend>(time, data),
CreateCollection<Delistings, Delisting>(time, data),
CreateCollection<SymbolChangedEvents, SymbolChangedEvent>(time, data),
CreateCollection<MarginInterestRates, MarginInterestRate>(time, data),
utcTime: utcTime)
{
}
/// <summary>
/// Initializes a new instance used by the <see cref="PythonSlice"/>
/// </summary>
/// <param name="slice">slice object to wrap</param>
/// <remarks>This is required so that python slice enumeration works correctly since it relies on the private <see cref="_data"/> collection</remarks>
protected Slice(Slice slice)
{
Time = slice.Time;
UtcTime = slice.UtcTime;
AllData = slice.AllData;
_dataByType = slice._dataByType;
_data = slice._data;
HasData = slice.HasData;
_ticks = slice._ticks;
_bars = slice._bars;
_quoteBars = slice._quoteBars;
_optionChains = slice._optionChains;
_futuresChains = slice._futuresChains;
// auxiliary data
_splits = slice._splits;
_dividends = slice._dividends;
_delistings = slice._delistings;
_symbolChangedEvents = slice._symbolChangedEvents;
_marginInterestRates = slice._marginInterestRates;
}
/// <summary>
/// Initializes a new instance of the <see cref="Slice"/> class
/// </summary>
/// <param name="time">The timestamp for this slice of data</param>
/// <param name="data">The raw data in this slice</param>
/// <param name="tradeBars">The trade bars for this slice</param>
/// <param name="quoteBars">The quote bars for this slice</param>
/// <param name="ticks">This ticks for this slice</param>
/// <param name="optionChains">The option chains for this slice</param>
/// <param name="futuresChains">The futures chains for this slice</param>
/// <param name="splits">The splits for this slice</param>
/// <param name="dividends">The dividends for this slice</param>
/// <param name="delistings">The delistings for this slice</param>
/// <param name="symbolChanges">The symbol changed events for this slice</param>
/// <param name="marginInterestRates">The margin interest rates for this slice</param>
/// <param name="utcTime">The timestamp for this slice of data in UTC</param>
/// <param name="hasData">true if this slice contains data</param>
public Slice(DateTime time, List<BaseData> data, TradeBars tradeBars, QuoteBars quoteBars, Ticks ticks, OptionChains optionChains, FuturesChains futuresChains, Splits splits, Dividends dividends, Delistings delistings, SymbolChangedEvents symbolChanges, MarginInterestRates marginInterestRates, DateTime utcTime, bool? hasData = null)
{
Time = time;
UtcTime = utcTime;
AllData = data;
// market data
_data = new Lazy<DataDictionary<SymbolData>>(() => CreateDynamicDataDictionary(AllData));
HasData = hasData ?? _data.Value.Count > 0;
_ticks = ticks;
_bars = tradeBars;
_quoteBars = quoteBars;
_optionChains = optionChains;
_futuresChains = futuresChains;
// auxiliary data
_splits = splits;
_dividends = dividends;
_delistings = delistings;
_symbolChangedEvents = symbolChanges;
_marginInterestRates = marginInterestRates;
}
/// <summary>
/// Gets the data corresponding to the specified symbol. If the requested data
/// is of <see cref="MarketDataType.Tick"/>, then a <see cref="List{Tick}"/> will
/// be returned, otherwise, it will be the subscribed type, for example, <see cref="TradeBar"/>
/// or event <see cref="UnlinkedData"/> for custom data.
/// </summary>
/// <param name="symbol">The data's symbols</param>
/// <returns>The data for the specified symbol</returns>
public override dynamic this[Symbol symbol]
{
get
{
SymbolData value;
if (_data.Value.TryGetValue(symbol, out value))
{
return value.GetData();
}
throw new KeyNotFoundException($"'{symbol}' wasn't found in the Slice object, likely because there was no-data at this moment in time and it wasn't possible to fillforward historical data. Please check the data exists before accessing it with data.ContainsKey(\"{symbol}\")");
}
}
/// <summary>
/// Gets the <see cref="DataDictionary{T}"/> for all data of the specified type
/// </summary>
/// <typeparam name="T">The type of data we want, for example, <see cref="TradeBar"/> or <see cref="UnlinkedData"/>, etc...</typeparam>
/// <returns>The <see cref="DataDictionary{T}"/> containing the data of the specified type</returns>
public DataDictionary<T> Get<T>()
where T : IBaseData
{
return GetImpl(typeof(T), this);
}
/// <summary>
/// Gets the data of the specified type.
/// </summary>
/// <param name="type">The type of data we seek</param>
/// <returns>The <see cref="DataDictionary{T}"/> instance for the requested type</returns>
public dynamic Get(Type type)
{
return GetImpl(type, this);
}
/// <summary>
/// Gets the data of the specified type.
/// </summary>
/// <remarks>Supports both C# and Python use cases</remarks>
protected dynamic GetImpl(Type type, Slice instance)
{
if (type == typeof(Fundamentals))
{
// backwards compatibility for users doing a get of Fundamentals type
type = typeof(FundamentalUniverse);
}
else if (type == typeof(ETFConstituentData))
{
// backwards compatibility for users doing a get of ETFConstituentData type
type = typeof(ETFConstituentUniverse);
}
if (instance._dataByType == null)
{
// for performance we only really create this collection if someone used it
instance._dataByType = new Dictionary<Type, object>(1);
}
object dictionary;
if (!instance._dataByType.TryGetValue(type, out dictionary))
{
var requestedOpenInterest = type == typeof(OpenInterest);
if (type == typeof(Tick) || requestedOpenInterest)
{
var dataDictionaryCache = GenericDataDictionary.Get(type, isPythonData: false);
dictionary = Activator.CreateInstance(dataDictionaryCache.GenericType);
((dynamic)dictionary).Time = Time;
foreach (var data in instance.Ticks)
{
var symbol = data.Key;
// preserving existing behavior we will return the last data point, users expect a 'DataDictionary<Tick> : IDictionary<Symbol, Tick>'.
// openInterest is stored with the Ticks collection
var lastDataPoint = data.Value.LastOrDefault(tick => requestedOpenInterest && tick.TickType == TickType.OpenInterest || !requestedOpenInterest && tick.TickType != TickType.OpenInterest);
if (lastDataPoint == null)
{
continue;
}
dataDictionaryCache.MethodInfo.Invoke(dictionary, new object[] { symbol, lastDataPoint });
}
}
else if (type == typeof(TradeBar))
{
dictionary = instance.Bars;
}
else if (type == typeof(QuoteBar))
{
dictionary = instance.QuoteBars;
}
else if (type == typeof(Delisting))
{
dictionary = instance.Delistings;
}
else if (type == typeof(Split))
{
dictionary = instance.Splits;
}
else if (type == typeof(OptionChain))
{
dictionary = instance.OptionChains;
}
else if (type == typeof(FuturesChain))
{
dictionary = instance.FuturesChains;
}
else if (type == typeof(Dividend))
{
dictionary = instance.Dividends;
}
else if (type == typeof(SymbolChangedEvent))
{
dictionary = instance.SymbolChangedEvents;
}
else if (type == typeof(MarginInterestRate))
{
dictionary = instance.MarginInterestRates;
}
else
{
var isPythonData = type.IsAssignableTo(typeof(PythonData));
var dataDictionaryCache = GenericDataDictionary.Get(type, isPythonData);
dictionary = Activator.CreateInstance(dataDictionaryCache.GenericType);
((dynamic)dictionary).Time = Time;
foreach (var data in instance._data.Value.Values)
{
// let's first check custom data, else double check the user isn't requesting auxiliary data we have
if (IsDataPointOfType(data.Custom, type, isPythonData))
{
dataDictionaryCache.MethodInfo.Invoke(dictionary, new object[] { data.Symbol, data.Custom });
}
else
{
foreach (var auxiliaryData in data.AuxilliaryData.Where(x => IsDataPointOfType(x, type, isPythonData)))
{
dataDictionaryCache.MethodInfo.Invoke(dictionary, new object[] { data.Symbol, auxiliaryData });
}
}
}
}
instance._dataByType[type] = dictionary;
}
return dictionary;
}
/// <summary>
/// Gets the data of the specified symbol and type.
/// </summary>
/// <typeparam name="T">The type of data we seek</typeparam>
/// <param name="symbol">The specific symbol was seek</param>
/// <returns>The data for the requested symbol</returns>
public T Get<T>(Symbol symbol)
where T : BaseData
{
return Get<T>()[symbol];
}
/// <summary>
/// Determines whether this instance contains data for the specified symbol
/// </summary>
/// <param name="symbol">The symbol we seek data for</param>
/// <returns>True if this instance contains data for the symbol, false otherwise</returns>
public virtual bool ContainsKey(Symbol symbol)
{
return _data.Value.ContainsKey(symbol);
}
/// <summary>
/// Gets the data associated with the specified symbol
/// </summary>
/// <param name="symbol">The symbol we want data for</param>
/// <param name="data">The data for the specifed symbol, or null if no data was found</param>
/// <returns>True if data was found, false otherwise</returns>
public override bool TryGetValue(Symbol symbol, out dynamic data)
{
data = null;
SymbolData symbolData;
if (_data.Value.TryGetValue(symbol, out symbolData))
{
data = symbolData.GetData();
return data != null;
}
return false;
}
/// <summary>
/// Merge two slice with same Time
/// </summary>
/// <param name="inputSlice">slice instance</param>
/// <remarks> Will change the input collection for re-use</remarks>
public void MergeSlice(Slice inputSlice)
{
if (UtcTime != inputSlice.UtcTime)
{
throw new InvalidOperationException($"Slice with time {UtcTime} can't be merged with given slice with different {inputSlice.UtcTime}");
}
_bars = (TradeBars)UpdateCollection(_bars, inputSlice.Bars);
_quoteBars = (QuoteBars)UpdateCollection(_quoteBars, inputSlice.QuoteBars);
_ticks = (Ticks)UpdateCollection(_ticks, inputSlice.Ticks);
_optionChains = (OptionChains)UpdateCollection(_optionChains, inputSlice.OptionChains);
_futuresChains = (FuturesChains)UpdateCollection(_futuresChains, inputSlice.FuturesChains);
_splits = (Splits)UpdateCollection(_splits, inputSlice.Splits);
_dividends = (Dividends)UpdateCollection(_dividends, inputSlice.Dividends);
_delistings = (Delistings)UpdateCollection(_delistings, inputSlice.Delistings);
_symbolChangedEvents = (SymbolChangedEvents)UpdateCollection(_symbolChangedEvents, inputSlice.SymbolChangedEvents);
_marginInterestRates = (MarginInterestRates)UpdateCollection(_marginInterestRates, inputSlice.MarginInterestRates);
if (inputSlice.AllData.Count != 0)
{
if (AllData.Count == 0)
{
AllData = inputSlice.AllData;
_data = inputSlice._data;
}
else
{
// Should keep this._rawDataList last so that selected data points are not overriden
// while creating _data
inputSlice.AllData.AddRange(AllData);
AllData = inputSlice.AllData;
_data = new Lazy<DataDictionary<SymbolData>>(() => CreateDynamicDataDictionary(AllData));
}
}
}
private static DataDictionary<T> UpdateCollection<T>(DataDictionary<T> baseCollection, DataDictionary<T> inputCollection)
{
if (baseCollection == null || baseCollection.Count == 0)
{
return inputCollection;
}
if (inputCollection?.Count > 0)
{
foreach (var kvp in inputCollection)
{
if (!baseCollection.ContainsKey(kvp.Key))
{
baseCollection.Add(kvp.Key, kvp.Value);
}
}
}
return baseCollection;
}
/// <summary>
/// Produces the dynamic data dictionary from the input data
/// </summary>
private static DataDictionary<SymbolData> CreateDynamicDataDictionary(IEnumerable<BaseData> data)
{
var allData = new DataDictionary<SymbolData>();
foreach (var datum in data)
{
// we only will cache the default data type to preserve determinism and backwards compatibility
if (!SubscriptionManager.IsDefaultDataType(datum))
{
continue;
}
SymbolData symbolData;
if (!allData.TryGetValue(datum.Symbol, out symbolData))
{
symbolData = new SymbolData(datum.Symbol);
allData[datum.Symbol] = symbolData;
}
switch (datum.DataType)
{
case MarketDataType.Base:
symbolData.Type = SubscriptionType.Custom;
symbolData.Custom = datum;
break;
case MarketDataType.TradeBar:
symbolData.Type = SubscriptionType.TradeBar;
symbolData.TradeBar = (TradeBar)datum;
break;
case MarketDataType.QuoteBar:
symbolData.Type = SubscriptionType.QuoteBar;
symbolData.QuoteBar = (QuoteBar)datum;
break;
case MarketDataType.Tick:
symbolData.Type = SubscriptionType.Tick;
symbolData.Ticks.Add((Tick)datum);
break;
case MarketDataType.Auxiliary:
symbolData.AuxilliaryData.Add(datum);
break;
default:
throw new ArgumentOutOfRangeException();
}
}
return allData;
}
/// <summary>
/// Dynamically produces a <see cref="Ticks"/> data dictionary using the provided data
/// </summary>
private static Ticks CreateTicksCollection(DateTime time, IEnumerable<BaseData> data)
{
var ticks = new Ticks(time);
foreach (var tick in data.OfType<Tick>())
{
List<Tick> listTicks;
if (!ticks.TryGetValue(tick.Symbol, out listTicks))
{
ticks[tick.Symbol] = listTicks = new List<Tick>();
}
listTicks.Add(tick);
}
return ticks;
}
/// <summary>
/// Dynamically produces a data dictionary for the requested type using the provided data
/// </summary>
/// <typeparam name="T">The data dictionary type</typeparam>
/// <typeparam name="TItem">The item type of the data dictionary</typeparam>
/// <param name="time">The current slice time</param>
/// <param name="data">The data to create the collection</param>
/// <returns>The data dictionary of <typeparamref name="TItem"/> containing all the data of that type in this slice</returns>
private static T CreateCollection<T, TItem>(DateTime time, IEnumerable<BaseData> data)
where T : DataDictionary<TItem>, new()
where TItem : BaseData
{
var collection = new T
{
#pragma warning disable 618 // This assignment is left here until the Time property is removed.
Time = time
#pragma warning restore 618
};
foreach (var item in data.OfType<TItem>())
{
collection[item.Symbol] = item;
}
return collection;
}
/// <summary>
/// Returns an enumerator that iterates through the collection.
/// </summary>
/// <returns>
/// A <see cref="T:System.Collections.Generic.IEnumerator`1"/> that can be used to iterate through the collection.
/// </returns>
/// <filterpriority>1</filterpriority>
public IEnumerator<KeyValuePair<Symbol, BaseData>> GetEnumerator()
{
return GetKeyValuePairEnumerable().GetEnumerator();
}
/// <summary>
/// Returns an enumerator that iterates through a collection.
/// </summary>
/// <returns>
/// An <see cref="T:System.Collections.IEnumerator"/> object that can be used to iterate through the collection.
/// </returns>
/// <filterpriority>2</filterpriority>
IEnumerator IEnumerable.GetEnumerator()
{
return GetEnumerator();
}
private IEnumerable<KeyValuePair<Symbol, BaseData>> GetKeyValuePairEnumerable()
{
// this will not enumerate auxilliary data!
foreach (var kvp in _data.Value)
{
var data = kvp.Value.GetData();
var dataPoints = data as IEnumerable<BaseData>;
if (dataPoints != null)
{
foreach (var dataPoint in dataPoints)
{
yield return new KeyValuePair<Symbol, BaseData>(kvp.Key, dataPoint);
}
}
else if (data != null)
{
yield return new KeyValuePair<Symbol, BaseData>(kvp.Key, data);
}
}
}
/// <summary>
/// Determines if the given data point is of a specific type
/// </summary>
private static bool IsDataPointOfType(BaseData o, Type type, bool isPythonData)
{
if (o == null)
{
return false;
}
if (isPythonData && o is PythonData data)
{
return data.IsOfType(type);
}
return o.GetType() == type;
}
private enum SubscriptionType { TradeBar, QuoteBar, Tick, Custom };
private class SymbolData
{
public SubscriptionType Type;
public readonly Symbol Symbol;
// data
public BaseData Custom;
public TradeBar TradeBar;
public QuoteBar QuoteBar;
public readonly List<Tick> Ticks;
public readonly List<BaseData> AuxilliaryData;
public SymbolData(Symbol symbol)
{
Symbol = symbol;
Ticks = new List<Tick>();
AuxilliaryData = new List<BaseData>();
}
public dynamic GetData()
{
switch (Type)
{
case SubscriptionType.TradeBar:
return TradeBar;
case SubscriptionType.QuoteBar:
return QuoteBar;
case SubscriptionType.Tick:
return Ticks;
case SubscriptionType.Custom:
return Custom;
default:
throw new ArgumentOutOfRangeException();
}
}
}
/// <summary>
/// Helper class for generic <see cref="DataDictionary{T}"/>
/// </summary>
/// <remarks>The value of this class is primarily performance since it keeps a cache
/// of the generic types instances and there add methods.</remarks>
private class GenericDataDictionary
{
private static Dictionary<Type, GenericDataDictionary> _genericCache = new Dictionary<Type, GenericDataDictionary>();
/// <summary>
/// The <see cref="DataDictionary{T}.Add(KeyValuePair{QuantConnect.Symbol,T})"/> method
/// </summary>
public MethodInfo MethodInfo { get; }
/// <summary>
/// The <see cref="DataDictionary{T}"/> type
/// </summary>
public Type GenericType { get; }
private GenericDataDictionary(Type genericType, MethodInfo methodInfo)
{
GenericType = genericType;
MethodInfo = methodInfo;
}
/// <summary>
/// Provides a <see cref="GenericDataDictionary"/> instance for a given <see cref="Type"/>
/// </summary>
/// <param name="type">The requested data type</param>
/// <param name="isPythonData">True if data is of <see cref="PythonData"/> type</param>
/// <returns>A new instance or retrieved from the cache</returns>
public static GenericDataDictionary Get(Type type, bool isPythonData)
{
if (!_genericCache.TryGetValue(type, out var dataDictionaryCache))
{
var dictionaryType = type;
if (isPythonData)
{
// let's create a python data dictionary because the data itself will be a PythonData type in C#
dictionaryType = typeof(PythonData);
}
var generic = typeof(DataDictionary<>).MakeGenericType(dictionaryType);
var method = generic.GetMethod("Add", new[] { typeof(Symbol), dictionaryType });
// Replace the cache instance with a new one instead of locking in order to avoid the overhead
var temp = new Dictionary<Type, GenericDataDictionary>(_genericCache);
temp[type] = dataDictionaryCache = new GenericDataDictionary(generic, method);
_genericCache = temp;
}
return dataDictionaryCache;
}
}
}
}