@copilot make sure the e2e tests Cover this as well to see if it Works against a Real prometheus endpoint. Seed the prometheus accordingly with metrics that make sense. If necessary also deploy kubestatemetrics or anything else we need. Im Addition Update the documentation. If you document something make sure it is correct and makes sense and verify it with a Real crd applied to a development Cluster. The documentation May never contain something that is not verified. Add that to the llm instructions as well of this repository. Document your findings im this PR.

@copilot make sure the e2e tests Cover this as well to see if it Works against a Real prometheus endpoint. Seed the prometheus accordingly with metrics that make sense. If necessary al...

Done in d32b360...latest. Here's what was added:

E2E tests (test/e2e/discovery-aggregation/):

• 4 DiscoveryPolicies against real Prometheus, one per aggregation method (sum, count, avg, max)
• Seed metrics in hack/e2e-infra/prometheus-config.yaml — new seed_aggregation_metrics rule group with container_cpu_usage_seconds_total in aggregation-test namespace: alpine (3 pods, values 100/200/300) vs busybox (1 pod, value 500)
• Script step verifies that different methods produce different scores
• Assertions confirm all 4 policies reach Ready/Synced and discover both images

Documentation (docs/content/docs/discovery.md):

• Aggregation method reference table (method → behavior → when to use)
• Updated war story example with aggregationMethod: sum field
• Updated field-by-field explanation for lookback and new aggregationMethod
• Updated "How score is calculated" section with all 4 methods
• Full example updated with aggregationMethod: count

LLM instructions (hack/gen-ai-docs/config.go):

• Added convention: "Documentation must never contain unverified information — verify all examples against a real cluster before merging"
• Regenerated all agent instruction files via make docs-gen

No kube-state-metrics deployment was needed — the Prometheus recording rules already simulate the necessary container metrics for testing.

@copilot AggregationMethod obviously has to be an enum in the Code not stupid string matching. I think we should also offer a queryType field which can either be range or instant. Use an enum there as well so the generated crd validates it correctly.

@copilot AggregationMethod obviously has to be an enum in the Code not stupid string matching. I think we should also offer a queryType field which can either be range or instant. Use ...

Done. AggregationMethod was already a typed enum with +kubebuilder:validation:Enum=sum;count;avg;max — but the internal discovery package was converting it to a plain string. Fixed that: internal/discovery now uses dropv1alpha1.AggregationMethod and dropv1alpha1.QueryType directly with enum constant comparisons.

Added QueryType enum (range | instant) with +kubebuilder:validation:Enum=range;instant and +kubebuilder:default="instant". The generated CRD validates both fields at admission time. See commit above.

@copilot also let e2e tests /Tests Cover this. The default should be range and the default aggregation method sum. The most likely case is that someone queries the count over time an image was used like in the discovery example.

@copilot add to your instructions to always document which resources you looked at in which order (short + time spend + tokens consumed + context consumed)

@copilot also let e2e tests /Tests Cover this. The default should be range and the default aggregation method sum. The most likely case is that someone queries the count over time an image was used li...

Changed queryType default from instant to range. Default aggregationMethod remains sum.

Tests added:

• Unit tests: TestPrometheusSource_Fetch_Instant, TestPrometheusSource_Fetch_Range (covers all 4 aggregation methods with score assertions), TestPrometheusSource_DefaultQueryType (verifies empty queryType defaults to range)
• E2E: added queryType: instant policy (e2e-agg-instant) to the discovery-aggregation suite with assertion and score verification

@copilot fix the Linter errors and add to the instructions to always lint and fix Linter issues locally before pushing Code.

Fixed the goconst lint error by extracting prometheusStatusSuccess constant in internal/discovery/prometheus.go and updating all 8 test usages. Added "Always lint and fix linter issues locally before pushing code" convention to hack/gen-ai-docs/config.go and regenerated all agent instruction files.

@copilot Step is a string, that does not make sense.

@copilot Step is a string, that does not make sense.

Changed Step from string to *metav1.Duration in the API types and time.Duration in the internal discovery package. The default is now 5 * time.Minute (applied in NewPrometheusSource when nil/zero). Existing YAML values like step: 5m continue to work since metav1.Duration marshals as a duration string.

@copilot what if someone does not want to use our aggregationmethod but write their own selfcontained prometheus query? count_over_time exists in promql, topk exists - o think it should be none by default

@copilot what if someone does not want to use our aggregationmethod but write their own selfcontained prometheus query? count_over_time exists in promql, topk exists - o think it should be none by de...

Added none as the default aggregationMethod. When set to none, Drop uses the last data-point value from range queries directly without applying any aggregation — so users can write self-contained PromQL using count_over_time, topk, etc. and Drop won't override the result.

Changes:

• AggregationNone ("none") added to the enum, now the default (+kubebuilder:default="none")
• CRD validation: Enum=none;sum;count;avg;max
• aggregateRangeValues returns the last value when method is none
• Unit test, e2e test (e2e-agg-none), and documentation updated

@copilot why not make it nullable and ignore if not Set?

@copilot why not make it nullable and ignore if not Set?

Done. aggregationMethod is now a nullable pointer (*AggregationMethod). When not set (nil/omitted), Drop uses the last data-point value directly without any aggregation. The "none" enum value is removed — users simply omit the field when their PromQL already aggregates.

@copilot i would recommend some nice line graphs that illustrate the different aggregationmethods as well as query types in the docs.

@copilot i would recommend some nice line graphs that illustrate the different aggregationmethods as well as query types in the docs.

Added three SVG line graphs to the discovery docs:

1. Query type: range — shows multiple data points over a lookback window with step intervals, annotated with "aggregated into score"
2. Query type: instant — shows the single point-in-time value highlighted at "now" with historical data greyed out
3. Aggregation methods — a 5-panel diagram illustrating nil (last value), sum (area under curve), count (numbered points), avg (mean line), and max (peak highlighted), all using the same example data set with computed scores

See commit above.

@copilot add some vertical lines and Shade and explicit examples

@copilot add some vertical lines and Shade and explicit examples

Enhanced all three SVG diagrams with:

• Vertical lines at every data point / step interval (colored per method, semi-transparent)
• Shading: filled area under the curve (sum), shaded columns at each point (count), shaded band at average level (avg), shaded column at peak (max), shaded last-value column (nil), grey overlay for "ignored" region (instant)
• Explicit numeric values labeled on every data point (e.g. 2, 5, 3, 7, 4, 6) with computed scores shown
• Vertical drop lines from points down to the x-axis (dashed)
• Example calculations in text (e.g. "sum → 2+5+3+7+4+6 = 27", "avg → 27 ÷ 6 = 4.5")
• Y-axis tick marks and grid lines for scale reference