refactor(dotnet): normalize learning dataset export inputs

2026-07-13 01:30:42 +09:00
parent c20cbc982b
commit 26e5f5a024
2 changed files with 68 additions and 2 deletions
@@ -11,7 +11,9 @@ public sealed class LearningDatasetService

    public async Task<string> ExportJsonAsync(string outputPath, int limit = 1000)
    {
-        var rows = await _reader.ReadTrainingExamplesAsync(limit);
+        var normalizedOutputPath = RequireValue(outputPath, nameof(outputPath));
+        var normalizedLimit = Math.Clamp(limit, 1, 10000);
+        var rows = await _reader.ReadTrainingExamplesAsync(normalizedLimit);
        var payload = new
        {
            formula_id = "ENGINE_HISTORY_TRAINING_DATASET_V1",
@@ -21,9 +23,19 @@ public sealed class LearningDatasetService
            source = "engine_history.training_example_v1",
            rows
        };
-        var path = Path.GetFullPath(outputPath);
+        var path = Path.GetFullPath(normalizedOutputPath);
        Directory.CreateDirectory(Path.GetDirectoryName(path)!);
        await File.WriteAllTextAsync(path, JsonSerializer.Serialize(payload, new JsonSerializerOptions { WriteIndented = true }));
        return path;
    }
+
+    private static string RequireValue(string value, string parameterName)
+    {
+        if (string.IsNullOrWhiteSpace(value))
+        {
+            throw new ArgumentException("Value is required.", parameterName);
+        }
+
+        return value.Trim();
+    }
 }