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* feat(worker): add TaskTypeS3Lifecycle constant Single job type for the lifecycle worker; the S3LifecycleParams.Subtype field (READ / BOOTSTRAP / DRAIN) dispatches inside the handler. The "s3_lifecycle" string is already wired to LaneLifecycle in admin/plugin/scheduler_lane.go so adding the constant doesn't change runtime behavior — it lets future commits reference the type name without sprinkling string literals. * feat(s3/lifecycle): bucket-level bootstrap walker Iterates entries in a bucket, evaluates every active ActionKey in the engine snapshot against each entry, and dispatches inline-delete for currently-due actions. Date-kind actions and pending_bootstrap actions are skipped — the former are handled by their own SCAN_AT_DATE bootstrap, the latter aren't IsActive() yet. Walker is callback-driven so callers supply the listing source (real filer_pb.SeaweedList or test fake) and the dispatcher (real LifecycleDelete client or test fake). This keeps the walker free of filer_pb dependencies and makes the per-action evaluation flow unit-testable in isolation. Checkpoint state (LastScannedPath, Completed) is returned to the caller, who is responsible for persisting it under /etc/s3/lifecycle/<bucket>/_bootstrap. Walk() honours opts.Resume so a kill-resumed task picks up where the previous walker stopped. Tests cover: prefix-mismatched skip, not-yet-due skip (reader's job), date-kind skip, pending_bootstrap skip, multi-action rule (one rule with three actions dispatches three times — the regression that per-action keying fixes), dispatch error halts at last-successful checkpoint, Resume skips entries up to and including the resume path. * test(s3/lifecycle): walker test uses bucket-scoped ActionKey Mechanical follow-up to the bucket-scoped ActionKey on lifecycle-engine: the bootstrap walker tests construct ActionKeys to seed PriorStates and need the Bucket field to match what engine.Compile keys against. * fix(s3/lifecycle): walker quick wins Two minor cleanups noted on review: - Drop the redundant Resume re-filter inside the Walk callback. ListFunc's contract already promises "skip entries with Path <= start"; trusting that contract avoids divergence if the filter logic ever changes on one side and not the other. - Hoist the ObjectInfo allocation out of the per-action loop in walkEntry. Multi-action rules previously allocated one ObjectInfo per (entry, kind) pair; now it's one per entry, reused across all matching kinds. * fix(s3/lifecycle): walker Entry.NoncurrentIndex tracks ObjectInfo's *int ObjectInfo.NoncurrentIndex is now *int so unset is unambiguous; mirror that on bootstrap.Entry so the per-entry construction stays type-clean. Phase 5 (versioned-bucket walks) is the first caller that will populate the field. * refactor(s3/lifecycle): trim narration from bootstrap walker Drop the inline step-by-step on Walk and the multi-paragraph package preamble; the function names already say it. Keep one-liner WHYs at the SCAN_AT_DATE skip and the once-per-entry ObjectInfo build. * fix(s3/lifecycle): walker skips directories and ModeDisabled actions Two safety findings from review: 1. SeaweedFS directory entries can appear in the listing alongside objects; without an IsDirectory check the walker would treat a dir like any other entry and could dispatch a delete against it. Add IsDirectory to bootstrap.Entry and short-circuit it before walkEntry. 2. ModeDisabled is set by the operator (e.g. shell pause) independent of the XML rule's Status field. EvaluateAction gates on Status and would still fire for an operator-disabled action whose XML status is "Enabled". Skip ModeDisabled explicitly in walkEntry alongside the existing SCAN_AT_DATE skip. Two regression tests pin both cases. * perf(s3/lifecycle): reuse ObjectInfo across walker entries Walker allocated one ObjectInfo struct per entry. For buckets with millions of objects that's measurable GC pressure. Hoist the allocation out of the per-entry callback (one per Walk) and reuse via field assignment in walkEntry. EvaluateAction reads ObjectInfo synchronously and doesn't retain a reference, so the reuse is safe — the next iteration's overwrite can't corrupt an in-flight evaluation. * refactor(s3/lifecycle): trim narration on walker Drop the multi-line Entry / ObjectInfo-reuse / SCAN_AT_DATE+DISABLED explanations. The walker's structure is small enough that the condition itself reads as the documentation.