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quantconnect--lean/ToolBox/KaikoDataConverter/KaikoDataConverterProgram.cs
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2026-07-13 13:02:50 +08:00

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6.3 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.IO;
using System.Linq;
using QuantConnect.Data;
using System.Diagnostics;
using QuantConnect.Logging;
using System.Collections.Generic;
using ZipFile = Ionic.Zip.ZipFile;
namespace QuantConnect.ToolBox.KaikoDataConverter
{
/// <summary>
/// Console application for converting a single day of Kaiko data into Lean data format for high resolutions (tick, second and minute)
/// </summary>
public static class KaikoDataConverterProgram
{
/// <summary>
/// Kaiko data converter entry point.
/// </summary>
/// <param name="sourceDirectory">The source directory where all Kaiko zipped files are stored..</param>
/// <param name="date">The date to process.</param>
/// <param name="exchange">The exchange to process, if not defined, all exchanges will be processed.</param>
/// <exception cref="ArgumentException">Source folder does not exists.</exception>
/// <remarks>This converter will process automatically data for every exchange and for both tick types if the raw data files are available in the sourceDirectory</remarks>
public static void KaikoDataConverter(string sourceDirectory, string date, string exchange = "")
{
var timer = new Stopwatch();
timer.Start();
var folderPath = new DirectoryInfo(sourceDirectory);
if (!folderPath.Exists)
{
throw new ArgumentException($"Source folder {folderPath.FullName} not found");
}
exchange = !string.IsNullOrEmpty(exchange) && exchange.ToLowerInvariant() == "gdax" ? "coinbase" : exchange;
var processingDate = Parse.DateTimeExact(date, DateFormat.EightCharacter);
foreach (var filePath in folderPath.EnumerateFiles("*.zip"))
{
// Do not process exchanges other than the one defined.
if (!string.IsNullOrEmpty(exchange) && !filePath.Name.ToLowerInvariant().Contains(exchange.ToLowerInvariant())) continue;
Log.Trace($"KaikoDataConverter(): Starting data conversion from source {filePath.Name} for date {processingDate:yyyy_MM_dd}... ");
using (var zip = new ZipFile(filePath.FullName))
{
var targetDayEntries = zip.Entries.Where(e => e.FileName.Contains($"{processingDate.ToStringInvariant("yyyy_MM_dd")}")).ToList();
if (!targetDayEntries.Any())
{
Log.Error($"KaikoDataConverter(): Date {processingDate:yyyy_MM_dd} not found in source file {filePath.FullName}.");
}
foreach (var zipEntry in targetDayEntries)
{
var nameParts = zipEntry.FileName.Split(new char[] { '/' }).Last().Split(new char[] { '_' });
var market = nameParts[0] == "Coinbase" ? "GDAX" : nameParts[0];
var ticker = nameParts[1];
var tickType = nameParts[2] == "trades" ? TickType.Trade : TickType.Quote;
var symbol = Symbol.Create(ticker, SecurityType.Crypto, market);
Log.Trace($"KaikoDataConverter(): Processing {symbol.Value} {tickType}");
// Generate ticks from raw data and write them to disk
var reader = new KaikoDataReader(symbol, tickType);
var ticks = reader.GetTicksFromZipEntry(zipEntry);
var writer = new LeanDataWriter(Resolution.Tick, symbol, Globals.DataFolder, tickType);
writer.Write(ticks);
try
{
Log.Trace($"KaikoDataConverter(): Starting consolidation for {symbol.Value} {tickType}");
List<TickAggregator> consolidators = new List<TickAggregator>();
if (tickType == TickType.Trade)
{
consolidators.AddRange(new[]
{
new TradeTickAggregator(Resolution.Second),
new TradeTickAggregator(Resolution.Minute),
});
}
else
{
consolidators.AddRange(new[]
{
new QuoteTickAggregator(Resolution.Second),
new QuoteTickAggregator(Resolution.Minute),
});
}
foreach (var tick in ticks)
{
foreach (var consolidator in consolidators)
{
consolidator.Update(tick);
}
}
foreach (var consolidator in consolidators)
{
writer = new LeanDataWriter(consolidator.Resolution, symbol, Globals.DataFolder, tickType);
writer.Write(consolidator.Flush());
}
}
catch (Exception e)
{
Log.Error($"KaikoDataConverter(): Error processing entry {zipEntry.FileName}. Exception {e}");
}
}
}
}
Log.Trace($"KaikoDataConverter(): Finished in {timer.Elapsed}");
}
}
}