[DataFlow runtime 3/7] Data plane: FeatureStore, queue, offline reader, loader#596
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jiapingW merged 1 commit intoJun 25, 2026
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DataFlow runtime — stacked PR. Stacked on #595 — true-stacked: this PR's base is the previous PR's branch, so the diff below shows only this layer.
Part 3/7 — data plane (FeatureStore, queue, offline reader, loader).
Adds
specforge/runtime/data_plane/.FeatureStore/LocalFeatureStoreis the only tensor-holding component; it servesmem://(online, RAM, freed on last lease) andfile://(offline.ckpt, mmap) behind one API. Carries lease/generation primitives (consume-once free), amax_resident_bytesbackpressure cap, generation-guarded refs (a stale ref after reclaim+republish is rejected, not silently aliased), atomic lease registration, and a best-effort disk dump tap. PlusSampleRefQueue(metadata-only lease/ack/fail),OfflineManifestReader(.ckpt→file://refs), andFeatureDataLoader(SampleRef→TrainBatch; queue/refs modes; clone-on-fetch; injected transform/collate so it carries no model knowledge). Tests:test_feature_store,test_feature_dataloader,test_sample_ref_queue. Additive.Part of a 7-PR series adding the DataFlow runtime (
specforge/runtime/, milestones M1–M4). Verified on current upstreammain: all subpackages import and 65 component tests pass. The integration launcher (launch.py+train_eagle3_dataflow.py) and the end-to-end equivalence gates are a deliberate follow-up, not in this series.