CSVMetricsLogger/CSV Metrics Logger
2024-05-21 09:29:43 +02:00
..
CSV Metrics Logger.csproj Fixed issue where code generator runs multiple times 2024-05-21 09:29:43 +02:00
CSVRecordAttribute.cs Prepared NuGet distribution 2024-05-05 13:19:54 +02:00
CSVStorage.cs Implemented CSVStorage 2024-05-05 20:23:17 +02:00
IConvertToCSV.cs Prepared NuGet distribution 2024-05-05 13:19:54 +02:00
README.md Added the README.md files 2024-05-05 21:05:24 +02:00

CSV Metrics Logger

This is a simple CSV metrics logger that logs metrics to a CSV file. It is designed to be used in a multithreaded environment. Here is an example of how to use it:

using CSV_Metrics_Logger;

[CSVRecord]
public readonly partial record struct TestData(string Name, sbyte Age);

List<TestData> testData =
[
    new TestData("Name 1", 14),
    new TestData("Name 2", 25),
    new TestData("Name 3", 36),
    new TestData("Name 4", 47),
    new TestData("Name 5", 58),
];

var filename = Path.GetTempFileName();
await using var storage = CSVStorage<TestData>.Create(fileName);

foreach (var data in testData)
    storage.Write(data);

You might use storage.Write from multiple threads. The logger will handle the synchronization for you.

CSV Metrics Logger uses a source generator. You have to use the following NuGet packages:

<PackageReference Include="CSVMetricsLoggerGenerator" Version="1.0.0" />
<PackageReference Include="CSVMetricsLogger" Version="1.0.0" />

Your data must be modeled as a structure; classes are not supported. It does not matter if you are using a (readonly) record struct or a regular struct. The only requirement is that the struct must be a partial struct. The source generator will generate the missing part of the struct for you. Each public property will be used as a column in the CSV file. The property type might be any type, as long as it supports the ToString(CultureInfo) method.

For each data structure, you create a CSVStorage instance. The CSVStorage instance is a disposable object. You must dispose of it when you are done with it. When the CSV file already exists, the CSVStorage object will append data to the existing file; the header will not be written again.