Rebuild lean-bench: pages in, verified indexed Lean out
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Replaces the previous tree entirely. The pipeline is four separable pieces, each
testable on its own:

1. leanbench/llm.py      provider-neutral OpenAI-compatible connector, stdlib only,
                        with retries, JSON coercion and a scripted client so the
                        rest of the code is testable without a network.
2. leanbench/detect.py   per-page detection of formalizable mathematics. Case 1 is
                        mathematics asserted as fact (definition/theorem/lemma/...,
                        deliberately not sub-classified); case 2 is a problem left
                        open to the reader. Hits come back as spans -- start page
                        and index, end page and index -- so several per page is
                        normal. A hit cut off by the page end makes the detector
                        re-read that page together with the next, repeatedly, so an
                        item spread over three pages is found whole.
                        Offsets come from verbatim quotes resolved by
                        leanbench/anchors.py (exact -> whitespace-insensitive ->
                        fuzzy), because models quote well and count badly.
3. leanbench/formalize.py + leanbench/verify.py
                        each span becomes one Lean 4 declaration, judged by the real
                        compiler: full elaboration for case 1, statement legality
                        only for case 2, which has no proof to check. Lean's own
                        diagnostics feed back for a repair attempt. "verified" (Lean
                        accepted it) and "proved" (accepted with no sorry) are kept
                        strictly apart.
4. leanbench/db.py       indexed SQLite plus JSONL export. Every item is indexed by
                        the types of its inputs, or by its own type when it is not a
                        proof, and records the source book (sha256) and the page it
                        starts on -- so `drop --source H --pages A-B` followed by a
                        re-ingest redoes exactly those pages and nothing else.

Infrastructure:

- lean/            Lake project pinned to Mathlib.
- docker/          image carrying Lean 4 and a prebuilt Mathlib. The Mathlib
                   revision and the toolchain are resolved against each other at
                   build time rather than both hardcoded, so the build does not rot.
                   docker/smoke.py runs the whole pipeline inside the image against
                   the real compiler, with the LLM scripted.
- .gitea/workflows ci (lint + tests in a venv, since the runner image's Python is
                   Debian-managed and refuses installs into itself), docker (build,
                   verify, optionally push), ingest (submit a book by hand).

The docker workflow is not a throwaway build: it leaves the image, the layer cache,
an idle `lean-bench` container and the `lean-bench-data` / `lean-bench-books`
volumes in place on the runner, and never prunes, so the environment is there to be
used afterwards. Pushing to the registry is optional and cannot fail the build --
Gitea's container registry does not accept the built-in Actions token, so that needs
a REGISTRY_TOKEN secret with write:package.

58 tests; they need neither network nor Lean.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ci5T3gWDhhmqDec3e1XtYZ
This commit is contained in:
2026-09-19 07:16:37 +00:00
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#!/usr/bin/env bash
# Pin Mathlib and the Lean toolchain to each other.
#
# Mathlib tags do not exist for every Lean point release, so hardcoding both is how
# image builds break six weeks later. Instead: choose a Mathlib revision, then take
# *its* lean-toolchain as the truth and write both into the Lean project.
#
# resolve-mathlib.sh <lean-project-dir> [revision]
#
# revision defaults to "auto": the newest Mathlib tag whose toolchain matches the
# toolchain already in the project, else the newest tag, else master.
set -euo pipefail
PROJECT="${1:?usage: resolve-mathlib.sh <lean-project-dir> [revision]}"
REQUESTED="${2:-auto}"
REPO="https://github.com/leanprover-community/mathlib4.git"
RAW="https://raw.githubusercontent.com/leanprover-community/mathlib4"
TOOLCHAIN_FILE="$PROJECT/lean-toolchain"
LAKEFILE="$PROJECT/lakefile.toml"
toolchain_of() { # toolchain_of <rev> -> prints e.g. leanprover/lean4:v4.33.0
curl -fsSL --retry 3 --max-time 30 "$RAW/$1/lean-toolchain" 2>/dev/null | tr -d '[:space:]'
}
candidates() {
git ls-remote --tags --refs "$REPO" 'v*' 2>/dev/null \
| awk '{print $2}' | sed 's#refs/tags/##' \
| grep -E '^v[0-9]+\.[0-9]+\.[0-9]+$' \
| sort -V -r
}
wanted="$(tr -d '[:space:]' < "$TOOLCHAIN_FILE" 2>/dev/null || true)"
rev=""
if [ "$REQUESTED" != "auto" ]; then
rev="$REQUESTED"
echo "resolve-mathlib: using requested revision $rev"
else
echo "resolve-mathlib: looking for a Mathlib tag built on ${wanted:-<unset>}"
all="$(candidates || true)"
if [ -n "$wanted" ]; then
# only the tags sharing a major.minor with what we asked for are plausible
series="$(printf '%s' "$wanted" | sed -E 's#.*:v([0-9]+\.[0-9]+).*#v\1#')"
for tag in $(printf '%s\n' "$all" | grep -E "^${series}\." || true); do
if [ "$(toolchain_of "$tag")" = "$wanted" ]; then
rev="$tag"
echo "resolve-mathlib: $tag matches $wanted exactly"
break
fi
done
if [ -z "$rev" ]; then
rev="$(printf '%s\n' "$all" | grep -E "^${series}\." | head -1 || true)"
[ -n "$rev" ] && echo "resolve-mathlib: no exact match; newest in $series series is $rev"
fi
fi
if [ -z "$rev" ]; then
rev="$(printf '%s\n' "$all" | head -1 || true)"
echo "resolve-mathlib: falling back to newest tag ${rev:-master}"
fi
rev="${rev:-master}"
fi
actual="$(toolchain_of "$rev" || true)"
if [ -z "$actual" ]; then
echo "resolve-mathlib: could not read the toolchain for $rev; keeping ${wanted:-project default}" >&2
actual="$wanted"
fi
printf '%s\n' "$actual" > "$TOOLCHAIN_FILE"
# rewrite only the rev line inside the [[require]] block for mathlib
python3 - "$LAKEFILE" "$rev" <<'PY'
import re
import sys
path, rev = sys.argv[1], sys.argv[2]
with open(path, encoding="utf-8") as stream:
text = stream.read()
text = re.sub(r'(?m)^rev\s*=\s*".*"$', f'rev = "{rev}"', text, count=1)
with open(path, "w", encoding="utf-8") as stream:
stream.write(text)
PY
echo "resolve-mathlib: mathlib $rev on $actual"