Replace explicit resampling config with policy based approach

Entire-Checkpoint: f69e38210bb1

internal/metricdispatch/resamplepolicy.go

@@ -0,0 +1,49 @@
+// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
+// All rights reserved. This file is part of cc-backend.
+// Use of this source code is governed by a MIT-style
+// license that can be found in the LICENSE file.
+package metricdispatch
+
+import "math"
+
+type ResamplePolicy string
+
+const (
+	ResamplePolicyLow    ResamplePolicy = "low"
+	ResamplePolicyMedium ResamplePolicy = "medium"
+	ResamplePolicyHigh   ResamplePolicy = "high"
+)
+
+// TargetPointsForPolicy returns the target number of data points for a given policy.
+func TargetPointsForPolicy(policy ResamplePolicy) int {
+	switch policy {
+	case ResamplePolicyLow:
+		return 200
+	case ResamplePolicyMedium:
+		return 500
+	case ResamplePolicyHigh:
+		return 1000
+	default:
+		return 0
+	}
+}
+
+// ComputeResolution computes the resampling resolution in seconds for a given
+// job duration, metric frequency, and target point count. Returns 0 if the
+// total number of data points is already at or below targetPoints (no resampling needed).
+func ComputeResolution(duration int64, frequency int64, targetPoints int) int {
+	if frequency <= 0 || targetPoints <= 0 || duration <= 0 {
+		return 0
+	}
+
+	totalPoints := duration / frequency
+	if totalPoints <= int64(targetPoints) {
+		return 0
+	}
+
+	targetRes := math.Ceil(float64(duration) / float64(targetPoints))
+	// Round up to nearest multiple of frequency
+	resolution := int(math.Ceil(targetRes/float64(frequency))) * int(frequency)
+
+	return resolution
+}