68ad2f51b6
- Replacing `BaseData.AdjustResolution` for `DefaultResolution` and `SupportedResolutions` - Making `Resolution` nullable for `Algorithm.AddData` methods - The `ISubscriptionDataConfigService` will set the default resolution if none was provided and assert it is supported - Fix bug with `PythonData` `IsSparseData` and `RequiresMapping` resolution
178 lines
6.4 KiB
C#
178 lines
6.4 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 Python.Runtime;
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using QuantConnect.Data;
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using System;
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using System.Collections.Generic;
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namespace QuantConnect.Python
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{
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/// <summary>
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/// Dynamic data class for Python algorithms.
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/// Stores properties of python instances in DynamicData dictionary
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/// </summary>
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public class PythonData : DynamicData
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{
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private readonly dynamic _pythonData;
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private readonly dynamic _defaultResolution;
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private readonly dynamic _supportedResolutions;
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private readonly dynamic _isSparseData;
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private readonly dynamic _requiresMapping;
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/// <summary>
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/// Constructor for initializing the PythonData class
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/// </summary>
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public PythonData()
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{
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//Empty constructor required for fast-reflection initialization
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}
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/// <summary>
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/// Constructor for initializing the PythonData class with wrapped PyObject
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/// </summary>
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/// <param name="pythonData"></param>
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public PythonData(PyObject pythonData)
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{
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_pythonData = pythonData;
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using (Py.GIL())
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{
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// these methods rely on the Symbol so we can call them yet but we can get them
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_requiresMapping = pythonData.GetPythonMethod("RequiresMapping");
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_isSparseData = pythonData.GetPythonMethod("IsSparseData");
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_defaultResolution = pythonData.GetPythonMethod("DefaultResolution");
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_supportedResolutions = pythonData.GetPythonMethod("SupportedResolutions");
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}
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}
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/// <summary>
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/// Source Locator for algorithm written in Python.
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/// </summary>
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/// <param name="config">Subscription configuration object</param>
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/// <param name="date">Date of the data file we're looking for</param>
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/// <param name="isLiveMode">true if we're in live mode, false for backtesting mode</param>
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/// <returns>STRING API Url.</returns>
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public override SubscriptionDataSource GetSource(SubscriptionDataConfig config, DateTime date, bool isLiveMode)
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{
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using (Py.GIL())
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{
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var source = _pythonData.GetSource(config, date, isLiveMode);
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return (source as PyObject).GetAndDispose<SubscriptionDataSource>();
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}
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}
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/// <summary>
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/// Generic Reader Implementation for Python Custom Data.
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/// </summary>
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/// <param name="config">Subscription configuration</param>
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/// <param name="line">CSV line of data from the source</param>
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/// <param name="date">Date of the requested line</param>
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/// <param name="isLiveMode">true if we're in live mode, false for backtesting mode</param>
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/// <returns></returns>
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public override BaseData Reader(SubscriptionDataConfig config, string line, DateTime date, bool isLiveMode)
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{
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using (Py.GIL())
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{
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var data = _pythonData.Reader(config, line, date, isLiveMode);
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return (data as PyObject).GetAndDispose<BaseData>();
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}
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}
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/// <summary>
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/// Indicates if there is support for mapping
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/// </summary>
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/// <returns>True indicates mapping should be used</returns>
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public override bool RequiresMapping()
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{
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if (_requiresMapping == null)
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{
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return base.RequiresMapping();
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}
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using (Py.GIL())
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{
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return _requiresMapping();
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}
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}
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/// <summary>
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/// Indicates that the data set is expected to be sparse
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/// </summary>
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/// <remarks>Relies on the <see cref="Symbol"/> property value</remarks>
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/// <returns>True if the data set represented by this type is expected to be sparse</returns>
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public override bool IsSparseData()
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{
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if (_isSparseData == null)
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{
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return base.IsSparseData();
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}
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using (Py.GIL())
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{
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return _isSparseData();
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}
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}
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/// <summary>
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/// Gets the default resolution for this data and security type
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/// </summary>
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/// <remarks>This is a method and not a property so that python
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/// custom data types can override it</remarks>
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public override Resolution DefaultResolution()
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{
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if (_defaultResolution == null)
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{
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return base.DefaultResolution();
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}
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using (Py.GIL())
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{
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return _defaultResolution();
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}
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}
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/// <summary>
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/// Gets the supported resolution for this data and security type
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/// </summary>
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/// <remarks>This is a method and not a property so that python
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/// custom data types can override it</remarks>
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public override List<Resolution> SupportedResolutions()
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{
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if (_supportedResolutions == null)
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{
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return base.SupportedResolutions();
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}
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using (Py.GIL())
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{
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return _supportedResolutions();
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}
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}
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/// <summary>
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/// Indexes into this PythonData, where index is key to the dynamic property
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/// </summary>
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/// <param name="index">the index</param>
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/// <returns>Dynamic property of a given index</returns>
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public object this[string index]
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{
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get
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{
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return GetProperty(index);
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}
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set
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{
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SetProperty(index, value is double ? value.ConvertInvariant<decimal>() : value);
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}
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}
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}
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} |