Commit Graph
4 Commits
Author SHA1 Message Date
ZacharyZhang-NY 9cb46c18d3 Keep every file inside the rules the repo already wrote down
The 500-line rule and the one-line-comment rule were enforced only from
memory, so they drifted. bench/filesize_check.py now checks the budget on
every tracked source file, and it passes.

Split, with behaviour proven unchanged by comparing each moved function body
against HEAD byte for byte (53 training bodies, 21 benchmark bodies, 0
differences):

  db.py        503 -> 396   store_search.py     105
  bench/run.py 609 -> 351   query_set.py         80, report.py 211
  benchmarks.py 619 -> 424  benchmark_scoring.py 262
  training.py 1630 ->  94   training_{common,encode,metrics,datasets,lora,retrieval}

TrainingService stays as a thin facade for the CLI; the facade's parameter
lists are pinned against the module functions by inspect, which is what
catches a leaked self.

Deleted the eight top-level functions no file called, after fixing the scan
that had reported 201 false positives by skipping the defining file. The
v1/v2/v3 sweep found nothing to delete and says so: every remaining version
tag is an on-disk format marker, a migration step, a fixture name, or a
third-party model name.

Collapsed 39 multi-line comment blocks (86 lines) to one line each, keeping
the measured facts and error strings that justify the code.

269 tests pass; ruff clean; mypy 24 errors in 9 files against a 24-in-6
baseline, net zero; pyright 4, the same four HEAD measures.
2026-10-08 08:20:21 -04:00
ZacharyZhang-NY 56b94cd58e Delete the eight functions nobody called
Measured, not guessed: every top-level def in every tracked .py file was
counted against every other tracked file, including markdown, scripts, Go
and TypeScript. Eight names had zero references anywhere:
cartridges_holding_atom and clear_mounts (memory.py reads each cartridge's
own sources.json, and set_mounts already clears by replacing the set),
gradient_checkpointing_enabled, group_hits_by_source, ingested_paths,
is_finite_number, parse_runtime_json (the runtime answers in prose now, and
the JSON path was never wired back), write_sources_json.

Typer commands and pytest cases were excluded from the count because a
framework calls them by name. The same scan now returns zero.

263 tests pass; repo-wide mypy is still 24 errors in 6 files, unchanged.
2026-10-08 07:38:36 -04:00
ZacharyZhang-NY a4953335e7 Join the product's source ids to the benchmark's before scoring
The merged database names a source by content hash (`11089_4f2a...`) while the
frozen sets name the same file by its corpus id, so every arm scored 0.000 until
load_atoms joined atoms through sources.path. It now returns corpus ids and
refuses an atom it cannot trace to a corpus file.

Also fixes found by running the harness:
- merge rebuilt atom_fts from the deduped atoms table; two attempts on one file
  left 288,266 fts rows for 165,973 atoms.
- merge accepts the two honest reasons a corpus file has no product source
  (500 byte-identical LongMemEval sessions collapse under content hashing, and
  12 photos that ONNX Runtime cannot decode) and reports them.
- --arms used action=extend against a non-empty default, so naming two arms ran
  seven.
- the dense cache is keyed by the atom set, so a scale-curve subset cannot be
  scored with full-corpus vectors.
- write_markdown crashed on a run that covered only some modalities.
2026-10-06 16:49:11 -04:00
ZacharyZhang-NY fc0698c242 Add baseline harness: ingest, metrics, ablation arms, external counterpart, audit
- bench/ingest_baseline.py drives the unmodified product IngestionService over
  all 50,789 corpus files in sharded SQLite DBs, then merges them. Thread and
  memory ceilings are set explicitly: ONNX Runtime defaulted to every core
  (95 threads/worker, load 490) and its CPU arena kept freed pages mapped,
  which OOM-killed workers.
- bench/metrics.py: recall@k, MRR, nDCG@10, Wilson lower bound, chance
  baseline. No model, no product import, so the scorer cannot grade itself.
- bench/systems.py + bench/run.py: the five ablation arms over the merged DB,
  latency percentiles, scale curve, and a top-10 equivalence check against the
  live RetrievalService.
- bench/counterpart.py + bench/run_external.py: in-repo Mem0-style flat store
  and Zep-style temporal store as the external reference point.
- bench/audit.py: enforces single-attempt scoring, frozen n, a chance row
  beside every score, and producer != verifier. It already flags the product's
  retry-until-target loop at backend/src/ely_eye/evals.py:2351.
- backend/pyproject.toml: rapidocr-onnxruntime>=1.4.4 was unsatisfiable
  (PyPI maxes at 1.2.3); the successor is the renamed rapidocr package.
2026-10-06 14:36:02 -04:00