claude-bot
b9e37952e6
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
58 lines
1.7 KiB
YAML
58 lines
1.7 KiB
YAML
name: ci
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on:
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push:
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branches: [main]
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pull_request:
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workflow_dispatch:
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jobs:
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test:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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# The runner image ships a Debian-managed Python (PEP 668), so installing
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# into it is refused and `pip install --upgrade pip` cannot replace the
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# distro pip. A venv sidesteps both, and costs a couple of seconds.
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- name: Set up a virtualenv
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run: |
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set -eu
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python3 --version
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python3 -m venv .venv || {
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apt-get update -qq
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apt-get install -y -qq python3-venv
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python3 -m venv .venv
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}
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.venv/bin/python -m pip install --quiet --upgrade pip
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- name: Install
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run: .venv/bin/python -m pip install --quiet -e ".[dev]"
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- name: Lint
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run: .venv/bin/python -m ruff check .
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- name: Test
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run: .venv/bin/python -m pytest -q
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- name: CLI is wired up
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run: |
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set -eu
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.venv/bin/lean-bench --help > /dev/null
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.venv/bin/lean-bench doctor --skip-llm --env /dev/null
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lean-project:
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# Cheap guard: the Lean project's pins must at least resolve.
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Resolve the Mathlib / toolchain pair
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run: |
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set -eu
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command -v curl >/dev/null || (apt-get update -qq && apt-get install -y -qq curl)
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command -v git >/dev/null || (apt-get update -qq && apt-get install -y -qq git)
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chmod +x docker/resolve-mathlib.sh
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docker/resolve-mathlib.sh lean "${MATHLIB_REV:-auto}"
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echo "toolchain: $(cat lean/lean-toolchain)"
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grep -E '^rev' lean/lakefile.toml
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