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feat: Expand deterministic incident diagnostics (explain.rs) to PVCs, Services, and Nodes
#678
sofka's X incident view (explain.rs) is one of its most powerful features, providing deterministic, evidence-based root cause analysis for unhealthy workloads and pods without external AI dependencies.
Currently, explain.rs has dedicated diagnosis logic (explain_workload and explain_pod) for Deployments, StatefulSets, DaemonSets, ReplicaSets, and Pods. For other resource types (e.g. PersistentVolumeClaims, Services, Nodes), it falls back to generic event listing (explain_generic).
Expanding explain.rs with dedicated diagnostic evaluation for PVCs, Services, and Nodes will make X significantly more useful across common Kubernetes failure modes.
Proposed Scope
We propose adding dedicated diagnostic functions in src/explain.rs:
PersistentVolumeClaims (explain_pvc):
Detect Pending PVCs and surface root causes (e.g., non-existent StorageClass, waiting for first consumer in WaitForFirstConsumer binding mode, storage quota exceeded, or volume provisioning failure events).
Services (explain_service):
Detect Services with selector defined but 0 active endpoints or pods matching the label selector.
Highlight missing target ports or missing endpoints.
Pure Architecture: All changes remain pure in src/explain.rs. explain(&Evidence) will dispatch to explain_pvc, explain_service, and explain_node based on ev.plural.
Unit Testing: Every new diagnostic rule will have pure unit tests added directly to src/explain.rs using mock DynamicObject fixtures without requiring a cluster.
Question for Maintainers
Does this scope align with sofka's design goals for the incident view? Once agreed, we can open a focused PR with the implementation and tests.
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Problem / Motivation
sofka's
Xincident view (explain.rs) is one of its most powerful features, providing deterministic, evidence-based root cause analysis for unhealthy workloads and pods without external AI dependencies.Currently,
explain.rshas dedicated diagnosis logic (explain_workloadandexplain_pod) for Deployments, StatefulSets, DaemonSets, ReplicaSets, and Pods. For other resource types (e.g. PersistentVolumeClaims, Services, Nodes), it falls back to generic event listing (explain_generic).Expanding
explain.rswith dedicated diagnostic evaluation for PVCs, Services, and Nodes will makeXsignificantly more useful across common Kubernetes failure modes.Proposed Scope
We propose adding dedicated diagnostic functions in
src/explain.rs:PersistentVolumeClaims (
explain_pvc):PendingPVCs and surface root causes (e.g., non-existentStorageClass, waiting for first consumer inWaitForFirstConsumerbinding mode, storage quota exceeded, or volume provisioning failure events).Services (
explain_service):selectordefined but 0 active endpoints or pods matching the label selector.Nodes (
explain_node):NodeConditionarray (MemoryPressure,DiskPressure,PIDPressure,NetworkUnavailable,Ready=False/Unknown).Technical Design
src/explain.rs.explain(&Evidence)will dispatch toexplain_pvc,explain_service, andexplain_nodebased onev.plural.src/explain.rsusing mockDynamicObjectfixtures without requiring a cluster.Question for Maintainers
Does this scope align with sofka's design goals for the incident view? Once agreed, we can open a focused PR with the implementation and tests.
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