Files
ely-eye/pyproject.toml
T
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

30 lines
634 B
TOML

[tool.pyright]
venvPath = "."
venv = ".venv"
extraPaths = [".", "backend/src"]
pythonVersion = "3.12"
include = ["bench", "backend/src"]
[tool.mypy]
python_executable = ".venv/bin/python"
mypy_path = "."
python_version = "3.12"
files = ["bench", "backend/src"]
# bench/corpus is downloaded third-party data (git clones), not our source.
exclude = "bench/corpus/"
[[tool.mypy.overrides]]
module = "pyarrow.*"
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = [
"rapidocr_onnxruntime.*",
"cv2.*",
"rank_bm25",
"sentence_transformers.*",
"onnxruntime.*",
"fitz.*",
]
ignore_missing_imports = true