refactor(dotnet): normalize decision learning records
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This commit is contained in:
2026-07-13 01:19:55 +09:00
parent dd08e36a2b
commit 5b9f870ad6
2 changed files with 144 additions and 17 deletions
@@ -25,6 +25,12 @@ public sealed class DecisionLearningService
object? trace = null,
object? provenance = null)
{
decisionKey = RequireValue(decisionKey, nameof(decisionKey));
instrumentId = RequireValue(instrumentId, nameof(instrumentId));
action = RequireValue(action, nameof(action));
gate = RequireValue(gate, nameof(gate));
sourceVersion = RequireValue(sourceVersion, nameof(sourceVersion));
var decisionId = await _store.AppendDecisionAsync(new DecisionEventRecord(
decisionKey,
decidedAt,
@@ -33,29 +39,30 @@ public sealed class DecisionLearningService
gate,
score,
sourceVersion,
JsonSerializer.Serialize(trace ?? new { }),
JsonSerializer.Serialize(provenance ?? new { })));
SerializeJson(trace),
SerializeJson(provenance)));
foreach (var factor in factors)
foreach (var factor in factors ?? throw new ArgumentNullException(nameof(factors)))
{
var normalizedFactor = NormalizeFactor(factor);
var observationId = await _store.AppendSourceObservationAsync(new SourceObservationRecord(
factor.ObservedAt,
normalizedFactor.ObservedAt,
instrumentId,
factor.SourceName,
normalizedFactor.SourceName,
sourceVersion,
factor.PayloadJson,
factor.ProvenanceJson));
normalizedFactor.PayloadJson,
normalizedFactor.ProvenanceJson));
var factorObservationId = await _store.AppendFactorObservationAsync(new FactorObservationRecord(
observationId,
factor.FactorObservationId,
factor.FactorId,
factor.FactorVersion,
factor.ObservedAt,
factor.NumericValue,
factor.TextValue,
factor.Gate,
factor.ProvenanceJson));
await _store.AppendDecisionFactorEvidenceAsync(decisionId, factorObservationId, factor.Role);
normalizedFactor.FactorObservationId,
normalizedFactor.FactorId,
normalizedFactor.FactorVersion,
normalizedFactor.ObservedAt,
normalizedFactor.NumericValue,
normalizedFactor.TextValue,
normalizedFactor.Gate,
normalizedFactor.ProvenanceJson));
await _store.AppendDecisionFactorEvidenceAsync(decisionId, factorObservationId, normalizedFactor.Role);
}
return decisionId;
@@ -83,7 +90,36 @@ public sealed class DecisionLearningService
excessReturn,
outcomeClass,
evaluationGate,
JsonSerializer.Serialize(provenance ?? new { })));
SerializeJson(provenance)));
}
private static string SerializeJson(object? value)
=> JsonSerializer.Serialize(value ?? new { });
private static string RequireValue(string value, string parameterName)
{
if (string.IsNullOrWhiteSpace(value))
{
throw new ArgumentException("Value is required.", parameterName);
}
return value.Trim();
}
private static FactorEvidenceInput NormalizeFactor(FactorEvidenceInput factor)
{
ArgumentNullException.ThrowIfNull(factor);
return factor with
{
FactorId = RequireValue(factor.FactorId, nameof(factor.FactorId)),
FactorVersion = RequireValue(factor.FactorVersion, nameof(factor.FactorVersion)),
SourceName = RequireValue(factor.SourceName, nameof(factor.SourceName)),
PayloadJson = RequireValue(factor.PayloadJson, nameof(factor.PayloadJson)),
ProvenanceJson = RequireValue(factor.ProvenanceJson, nameof(factor.ProvenanceJson)),
Gate = RequireValue(factor.Gate, nameof(factor.Gate)),
Role = RequireValue(factor.Role, nameof(factor.Role))
};
}
}