Dotnet/CSVMetricsLogger
Dotnet/CSVMetricsLogger
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Resolve "Prepare release of 1.1.0" #4

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thorsten merged 1 commits from 2-prepare-release-of-1-1-0 into main 2024-05-21 11:41:28 +00:00
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5 changed files with 93 additions and 21 deletions
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6
CSV Metrics Logger Generator/CSV Metrics Logger Generator.csproj
View File

@ -10,9 +10,9 @@
<GeneratePackageOnBuild>true</GeneratePackageOnBuild> <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
<IncludeBuildOutput>false</IncludeBuildOutput> <!-- Do not include build output in the package. Necessary for analyzers. --> <IncludeBuildOutput>false</IncludeBuildOutput> <!-- Do not include build output in the package. Necessary for analyzers. -->
<AssemblyVersion>1.0.0</AssemblyVersion> <AssemblyVersion>1.1.0</AssemblyVersion>
<FileVersion>1.0.0</FileVersion> <FileVersion>1.1.0</FileVersion>
<PackageVersion>1.0.0</PackageVersion> <PackageVersion>1.1.0</PackageVersion>
<Authors>Thorsten Sommer</Authors> <Authors>Thorsten Sommer</Authors>
<PackageProjectUrl>https://devops.tsommer.org/open-source/dotnet/csv-metrics-logger</PackageProjectUrl> <PackageProjectUrl>https://devops.tsommer.org/open-source/dotnet/csv-metrics-logger</PackageProjectUrl>
<RepositoryUrl>https://devops.tsommer.org/open-source/dotnet/csv-metrics-logger</RepositoryUrl> <RepositoryUrl>https://devops.tsommer.org/open-source/dotnet/csv-metrics-logger</RepositoryUrl>

34
CSV Metrics Logger Generator/README.md
View File

@ -18,7 +18,7 @@ List<TestData> testData =
]; ];
var filename = Path.GetTempFileName(); var filename = Path.GetTempFileName();
await using var storage = CSVStorage<TestData>.Create(fileName); await using var storage = CSVStorage<TestData>.Create(filename);
foreach (var data in testData) foreach (var data in testData)
storage.Write(data); storage.Write(data);
@ -26,13 +26,37 @@ foreach (var data in testData)
You might use `storage.Write` from multiple threads. The logger will handle the synchronization for you. 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: CSV Metrics Logger uses a source generator. You need to use the following NuGet packages:
```xml ```xml
<PackageReference Include="CSVMetricsLoggerGenerator" Version="1.0.0" /> <PackageReference Include="CSVMetricsLoggerGenerator" Version="1.1.0" />
<PackageReference Include="CSVMetricsLogger" Version="1.0.0" /> <PackageReference Include="CSVMetricsLogger" Version="1.1.0" />
``` ```
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. 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 can be any type, as long as it supports the ToString() method.
Additionally, you can use generic type parameters in your struct, as long as there is a suitable ToString() overload. Here is an example:
```csharp
using CSV_Metrics_Logger;
[CSVRecord]
public readonly partial record struct GenericTestData<TNum>(string Name, sbyte Age, TNum Measure) where TNum : IFloatingPointIeee754<TNum>;
List<TestData> testData =
[
new TestData<float>("Name 1", 14, 47.53f),
new TestData<float>("Name 2", 25, 19.84f),
new TestData<float>("Name 3", 36, 38.78f),
new TestData<float>("Name 4", 47, 17.25f),
new TestData<float>("Name 5", 58, 73.89f),
];
var filename = Path.GetTempFileName();
await using var storage = CSVStorage<TestData<float>>.Create(filename);
foreach (var data in testData)
storage.Write(data);
```
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. 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.

6
CSV Metrics Logger/CSV Metrics Logger.csproj
View File

@ -9,9 +9,9 @@
<WarningsAsErrors>CS8600;CS8602;CS8603</WarningsAsErrors> <WarningsAsErrors>CS8600;CS8602;CS8603</WarningsAsErrors>
<GeneratePackageOnBuild>true</GeneratePackageOnBuild> <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
<AssemblyVersion>1.0.0</AssemblyVersion> <AssemblyVersion>1.1.0</AssemblyVersion>
<FileVersion>1.0.0</FileVersion> <FileVersion>1.1.0</FileVersion>
<PackageVersion>1.0.0</PackageVersion> <PackageVersion>1.1.0</PackageVersion>
<Authors>Thorsten Sommer</Authors> <Authors>Thorsten Sommer</Authors>
<PackageProjectUrl>https://devops.tsommer.org/open-source/dotnet/csv-metrics-logger</PackageProjectUrl> <PackageProjectUrl>https://devops.tsommer.org/open-source/dotnet/csv-metrics-logger</PackageProjectUrl>
<RepositoryUrl>https://devops.tsommer.org/open-source/dotnet/csv-metrics-logger</RepositoryUrl> <RepositoryUrl>https://devops.tsommer.org/open-source/dotnet/csv-metrics-logger</RepositoryUrl>

34
CSV Metrics Logger/README.md
View File

@ -18,7 +18,7 @@ List<TestData> testData =
]; ];
var filename = Path.GetTempFileName(); var filename = Path.GetTempFileName();
await using var storage = CSVStorage<TestData>.Create(fileName); await using var storage = CSVStorage<TestData>.Create(filename);
foreach (var data in testData) foreach (var data in testData)
storage.Write(data); storage.Write(data);
@ -26,13 +26,37 @@ foreach (var data in testData)
You might use `storage.Write` from multiple threads. The logger will handle the synchronization for you. 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: CSV Metrics Logger uses a source generator. You need to use the following NuGet packages:
```xml ```xml
<PackageReference Include="CSVMetricsLoggerGenerator" Version="1.0.0" /> <PackageReference Include="CSVMetricsLoggerGenerator" Version="1.1.0" />
<PackageReference Include="CSVMetricsLogger" Version="1.0.0" /> <PackageReference Include="CSVMetricsLogger" Version="1.1.0" />
``` ```
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. 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 can be any type, as long as it supports the ToString() method.
Additionally, you can use generic type parameters in your struct, as long as there is a suitable ToString() overload. Here is an example:
```csharp
using CSV_Metrics_Logger;
[CSVRecord]
public readonly partial record struct GenericTestData<TNum>(string Name, sbyte Age, TNum Measure) where TNum : IFloatingPointIeee754<TNum>;
List<TestData> testData =
[
new TestData<float>("Name 1", 14, 47.53f),
new TestData<float>("Name 2", 25, 19.84f),
new TestData<float>("Name 3", 36, 38.78f),
new TestData<float>("Name 4", 47, 17.25f),
new TestData<float>("Name 5", 58, 73.89f),
];
var filename = Path.GetTempFileName();
await using var storage = CSVStorage<TestData<float>>.Create(filename);
foreach (var data in testData)
storage.Write(data);
```
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. 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.

34
README.md
View File

@ -18,7 +18,7 @@ List<TestData> testData =
]; ];
var filename = Path.GetTempFileName(); var filename = Path.GetTempFileName();
await using var storage = CSVStorage<TestData>.Create(fileName); await using var storage = CSVStorage<TestData>.Create(filename);
foreach (var data in testData) foreach (var data in testData)
storage.Write(data); storage.Write(data);
@ -26,13 +26,37 @@ foreach (var data in testData)
You might use `storage.Write` from multiple threads. The logger will handle the synchronization for you. 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: CSV Metrics Logger uses a source generator. You need to use the following NuGet packages:
```xml ```xml
<PackageReference Include="CSVMetricsLoggerGenerator" Version="1.0.0" /> <PackageReference Include="CSVMetricsLoggerGenerator" Version="1.1.0" />
<PackageReference Include="CSVMetricsLogger" Version="1.0.0" /> <PackageReference Include="CSVMetricsLogger" Version="1.1.0" />
``` ```
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. 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 can be any type, as long as it supports the ToString() method.
Additionally, you can use generic type parameters in your struct, as long as there is a suitable ToString() overload. Here is an example:
```csharp
using CSV_Metrics_Logger;
[CSVRecord]
public readonly partial record struct GenericTestData<TNum>(string Name, sbyte Age, TNum Measure) where TNum : IFloatingPointIeee754<TNum>;
List<TestData> testData =
[
new TestData<float>("Name 1", 14, 47.53f),
new TestData<float>("Name 2", 25, 19.84f),
new TestData<float>("Name 3", 36, 38.78f),
new TestData<float>("Name 4", 47, 17.25f),
new TestData<float>("Name 5", 58, 73.89f),
];
var filename = Path.GetTempFileName();
await using var storage = CSVStorage<TestData<float>>.Create(filename);
foreach (var data in testData)
storage.Write(data);
```
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. 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.