Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions .github/workflows/build.yml
Original file line number Diff line number Diff line change
Expand Up @@ -32,8 +32,8 @@ jobs:
# BuildTests
dotnet build ./tests/Tests.csproj /p:Configuration=Release /v:quiet /p:WarningLevel=1 && \
# Run Tests
dotnet test ./tests/bin/Release/net9.0/Tests.dll && \
dotnet test ./tests/bin/Release/net10.0/Tests.dll && \
# BuildDataProcessing
dotnet build ./DataProcessing/DataProcessing.csproj /p:Configuration=Release /v:quiet /p:WarningLevel=1 && \
# Test CLRImports Script
pip install --no-cache-dir clr-loader==0.1.6 && python ./DataProcessing/bin/Release/net9.0/CLRImports.py
pip install --no-cache-dir clr-loader==0.2.9 && python ./DataProcessing/bin/Release/net10.0/CLRImports.py
185 changes: 114 additions & 71 deletions BrainLanguageMetricsEarningsCallsBase.cs
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,8 @@
using NodaTime;
using QuantConnect;
using QuantConnect.Data;
using System.Globalization;
using System.Linq;

namespace QuantConnect.DataSource
{
Expand All @@ -15,8 +17,44 @@ namespace QuantConnect.DataSource
public abstract class BrainLanguageMetricsEarningsCallsBase<T> : BaseData
where T : BrainLanguageMetricsEarningsCallsBase<T>, new()
{
private static DateTime? ParseNullableDate(string v)
{
if (string.IsNullOrWhiteSpace(v))
return null;
v = v.Trim();
if (DateTime.TryParseExact(v, "yyyyMMdd", CultureInfo.InvariantCulture,
DateTimeStyles.None, out var d1))
return d1;
if (DateTime.TryParseExact(v, "yyyy-MM-dd", CultureInfo.InvariantCulture,
DateTimeStyles.None, out var d2))
return d2;
if (DateTime.TryParse(v, CultureInfo.InvariantCulture, DateTimeStyles.None, out var d3))
return d3;
return null;
}

private static int? ParseNullableIntSafe(string v)
{
if (string.IsNullOrWhiteSpace(v))
return null;

return int.TryParse(v, NumberStyles.Any, CultureInfo.InvariantCulture, out var x)
? x
: null;
}

private static decimal? ParseNullableDecimalSafe(string v)
{
if (string.IsNullOrWhiteSpace(v))
return null;

return decimal.TryParse(v, NumberStyles.Any, CultureInfo.InvariantCulture, out var x)
? x
: null;
}

// === Transcript metadata ===
public DateTime LastTranscriptDate { get; set; }
public DateTime? LastTranscriptDate { get; set; }
public int? LastTranscriptQuarter { get; set; }
public int? LastTranscriptYear { get; set; }

Expand Down Expand Up @@ -149,7 +187,10 @@ public override BaseData Reader(SubscriptionDataConfig config, string line, Date
if (csv.Length < 4)
return null;

var dataDate = Parse.DateTimeExact(csv[0], "yyyyMMdd");
//var dataDate = Parse.DateTimeExact(csv[0], "yyyyMMdd");
if (!DateTime.TryParseExact(csv[0], "yyyyMMdd", CultureInfo.InvariantCulture,
DateTimeStyles.None, out var dataDate))
return null;

var data = new T
{
Expand All @@ -158,93 +199,95 @@ public override BaseData Reader(SubscriptionDataConfig config, string line, Date
EndTime = dataDate.AddHours(12)
};

data.LastTranscriptDate = Parse.DateTimeExact(csv[1], "yyyyMMdd");
data.LastTranscriptQuarter = ParseNullableInt(csv[2]);
data.LastTranscriptYear = ParseNullableInt(csv[3]);
int i = 1;

int i = 4;
// === Transcript metadata ===
data.LastTranscriptDate = ParseNullableDate(csv.ElementAtOrDefault(i++));
data.LastTranscriptQuarter = ParseNullableIntSafe(csv.ElementAtOrDefault(i++));
data.LastTranscriptYear = ParseNullableIntSafe(csv.ElementAtOrDefault(i++));

// === MD ===
data.MdNCharacters = ParseNullableDecimal(csv[i++]);
data.MdSentiment = ParseNullableDecimal(csv[i++]);
data.MdScoreUncertainty = ParseNullableDecimal(csv[i++]);
data.MdScoreLitigious = ParseNullableDecimal(csv[i++]);
data.MdScoreConstraining = ParseNullableDecimal(csv[i++]);
data.MdReadability = ParseNullableDecimal(csv[i++]);
data.MdLexicalRichness = ParseNullableDecimal(csv[i++]);
data.MdLexicalDensity = ParseNullableDecimal(csv[i++]);
data.MdSpecificDensity = ParseNullableDecimal(csv[i++]);
data.MdNCharacters = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdSentiment = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdScoreUncertainty = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdScoreLitigious = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdScoreConstraining = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdReadability = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdLexicalRichness = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdLexicalDensity = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdSpecificDensity = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));

// === AQ ===
data.AqNCharacters = ParseNullableDecimal(csv[i++]);
data.AqSentiment = ParseNullableDecimal(csv[i++]);
data.AqScoreUncertainty = ParseNullableDecimal(csv[i++]);
data.AqScoreLitigious = ParseNullableDecimal(csv[i++]);
data.AqScoreConstraining = ParseNullableDecimal(csv[i++]);
data.AqNCharacters = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqSentiment = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqScoreUncertainty = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqScoreLitigious = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqScoreConstraining = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));

// === MA ===
data.MaNCharacters = ParseNullableDecimal(csv[i++]);
data.MaSentiment = ParseNullableDecimal(csv[i++]);
data.MaScoreUncertainty = ParseNullableDecimal(csv[i++]);
data.MaScoreLitigious = ParseNullableDecimal(csv[i++]);
data.MaScoreConstraining = ParseNullableDecimal(csv[i++]);
data.MaReadability = ParseNullableDecimal(csv[i++]);
data.MaLexicalRichness = ParseNullableDecimal(csv[i++]);
data.MaLexicalDensity = ParseNullableDecimal(csv[i++]);
data.MaSpecificDensity = ParseNullableDecimal(csv[i++]);
data.MaNCharacters = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaSentiment = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaScoreUncertainty = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaScoreLitigious = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaScoreConstraining = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaReadability = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaLexicalRichness = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaLexicalDensity = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaSpecificDensity = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));

if (csv.Length <= i)
return data;

// === Prev transcript ===
data.PrevTranscriptDate = Parse.DateTimeExact(csv[i++], "yyyyMMdd");
data.PrevTranscriptQuarter = ParseNullableInt(csv[i++]);
data.PrevTranscriptYear = ParseNullableInt(csv[i++]);
data.PrevTranscriptDate = ParseNullableDate(csv.ElementAtOrDefault(i++));
data.PrevTranscriptQuarter = ParseNullableIntSafe(csv.ElementAtOrDefault(i++));
data.PrevTranscriptYear = ParseNullableIntSafe(csv.ElementAtOrDefault(i++));

// === MD deltas & similarities ===
data.MdDeltaPercNCharacters = ParseNullableDecimal(csv[i++]);
data.MdDeltaSentiment = ParseNullableDecimal(csv[i++]);
data.MdDeltaScoreUncertainty = ParseNullableDecimal(csv[i++]);
data.MdDeltaScoreLitigious = ParseNullableDecimal(csv[i++]);
data.MdDeltaScoreConstraining = ParseNullableDecimal(csv[i++]);
data.MdDeltaReadability = ParseNullableDecimal(csv[i++]);
data.MdDeltaLexicalRichness = ParseNullableDecimal(csv[i++]);
data.MdDeltaLexicalDensity = ParseNullableDecimal(csv[i++]);
data.MdDeltaSpecificDensity = ParseNullableDecimal(csv[i++]);

data.MdSimilarityAll = ParseNullableDecimal(csv[i++]);
data.MdSimilarityPositive = ParseNullableDecimal(csv[i++]);
data.MdSimilarityNegative = ParseNullableDecimal(csv[i++]);
data.MdSimilarityUncertainty = ParseNullableDecimal(csv[i++]);
data.MdSimilarityLitigious = ParseNullableDecimal(csv[i++]);
data.MdSimilarityConstraining = ParseNullableDecimal(csv[i++]);
data.MdDeltaPercNCharacters = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdDeltaSentiment = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdDeltaScoreUncertainty = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdDeltaScoreLitigious = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdDeltaScoreConstraining = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdDeltaReadability = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdDeltaLexicalRichness = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdDeltaLexicalDensity = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdDeltaSpecificDensity = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));

data.MdSimilarityAll = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdSimilarityPositive = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdSimilarityNegative = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdSimilarityUncertainty = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdSimilarityLitigious = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MdSimilarityConstraining = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));

// === AQ deltas & similarities ===
data.AqDeltaPercNCharacters = ParseNullableDecimal(csv[i++]);
data.AqDeltaSentimentDelta = ParseNullableDecimal(csv[i++]);
data.AqDeltaScoreUncertainty = ParseNullableDecimal(csv[i++]);
data.AqDeltaScoreLitigious = ParseNullableDecimal(csv[i++]);
data.AqDeltaScoreConstraining = ParseNullableDecimal(csv[i++]);
data.AqSimilarityAll = ParseNullableDecimal(csv[i++]);
data.AqSimilarityPositive = ParseNullableDecimal(csv[i++]);
data.AqSimilarityNegative = ParseNullableDecimal(csv[i++]);
data.AqDeltaPercNCharacters = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqDeltaSentimentDelta = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqDeltaScoreUncertainty = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqDeltaScoreLitigious = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqDeltaScoreConstraining = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqSimilarityAll = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqSimilarityPositive = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.AqSimilarityNegative = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));

// === MA deltas & similarities ===
data.MaDeltaPercNCharacters = ParseNullableDecimal(csv[i++]);
data.MaDeltaSentimentDelta = ParseNullableDecimal(csv[i++]);
data.MaDeltaScoreUncertainty = ParseNullableDecimal(csv[i++]);
data.MaDeltaScoreLitigious = ParseNullableDecimal(csv[i++]);
data.MaDeltaScoreConstraining = ParseNullableDecimal(csv[i++]);
data.MaDeltaReadability = ParseNullableDecimal(csv[i++]);
data.MaDeltaLexicalRichness = ParseNullableDecimal(csv[i++]);
data.MaDeltaLexicalDensity = ParseNullableDecimal(csv[i++]);
data.MaDeltaSpecificDensity = ParseNullableDecimal(csv[i++]);
data.MaSimilarityAll = ParseNullableDecimal(csv[i++]);
data.MaSimilarityPositive = ParseNullableDecimal(csv[i++]);
data.MaSimilarityNegative = ParseNullableDecimal(csv[i++]);
data.MaSimilarityUncertainty = ParseNullableDecimal(csv[i++]);
data.MaSimilarityLitigious = ParseNullableDecimal(csv[i++]);
data.MaSimilarityConstraining = ParseNullableDecimal(csv[i++]);
data.MaDeltaPercNCharacters = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaDeltaSentimentDelta = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaDeltaScoreUncertainty = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaDeltaScoreLitigious = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaDeltaScoreConstraining = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaDeltaReadability = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaDeltaLexicalRichness = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaDeltaLexicalDensity = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaDeltaSpecificDensity = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));

data.MaSimilarityAll = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaSimilarityPositive = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaSimilarityNegative = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaSimilarityUncertainty = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaSimilarityLitigious = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));
data.MaSimilarityConstraining = ParseNullableDecimalSafe(csv.ElementAtOrDefault(i++));

return data;
}
Expand Down
2 changes: 1 addition & 1 deletion DataProcessing/CLRImports.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@

# process.runtimeconfig.json is created when we build the DataProcessing Project:
# dotnet build .\DataProcessing\DataProcessing.csproj
set_runtime(get_coreclr(join(dirname(realpath(__file__)), "process.runtimeconfig.json")))
set_runtime(get_coreclr(runtime_config=join(dirname(realpath(__file__)), "process.runtimeconfig.json")))

from AlgorithmImports import *
from QuantConnect.Lean.Engine.DataFeeds import *
Expand Down
Loading