Captures the MeTRAbs SHA-256 and filename plus tensorflow /
tensorflow-metal / numpy / neuropose / python versions, and reserves
slots for seed, deterministic, and analysis_config. Populated
automatically by Estimator.process_video when the model was loaded via
load_model; propagates into JobResults and BenchmarkResult via the
existing output path. None on the injected-model test path where no
SHA is known.
_model.load_metrabs_model now returns a LoadedModel dataclass so the
estimator can bundle the TF handle with the pinned SHA without
re-hashing the tarball on every daemon startup. All test fakes and
the integration smoke tests updated to unwrap .model.
Bumps the optional schema_version field on VideoPredictions and
BenchmarkResult to default=CURRENT_VERSION so fresh writes stamp the
latest version; legacy payloads without it are migrated on load via
the chain registered in the previous commit.
One shared CURRENT_VERSION across the three top-level serialised
payloads (VideoPredictions, JobResults, BenchmarkResult), with
per-schema registries populated via register_*_migration(from_version)
decorators. FutureSchemaError and MigrationNotFoundError surface bad
chains clearly. CURRENT_VERSION=2 with v1→v2 migrations registered
that add an optional provenance field to the payload dicts.
Tested standalone; io.py is wired through the migrator in a follow-up
commit that introduces the Provenance schema those migrations target.
Phase 0 (C-enabling pipeline work) → Phase 1 (Paper C clinical
validation) → Phase 2 (open-source release + Paper A), with Track 2
(clinical platform) as a contingent side track. Mirrors RESEARCH.md but
for engineering scope rather than methodology.
Levi Neuwirth