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lean-bench/leanbench/pipeline.py
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Zayden-Jung d3555d9a52
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Rebuild lean-bench: pages in, verified indexed Lean out
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.

Also: 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), and .gitea/workflows for tests,
image build and push to the Gitea registry, and a manual "submit a book" run.

58 tests; they need neither network nor Lean.
2026-09-19 07:05:52 +00:00

182 lines
6.4 KiB
Python

"""The whole run, in order: load -> detect -> formalize -> verify -> store.
``ingest`` is what the CLI, the Docker entrypoint and CI all call. Re-ingesting a
book (or just some of its pages) deletes exactly the rows those pages produced last
time and writes the new ones, so a source can be redone without collateral damage.
"""
from __future__ import annotations
from collections.abc import Callable, Sequence
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
from .config import Settings
from .db import Database, ItemRow, item_id
from .detect import DetectionReport, detect_document
from .document import Document
from .formalize import Formalization, formalize_all, verification_mode
from .llm import build_client
from .verify import LeanChecker, NullChecker
@dataclass
class IngestResult:
document: Document
report: DetectionReport
formalizations: list[Formalization] = field(default_factory=list)
stored: list[str] = field(default_factory=list)
removed: int = 0
def summary(self) -> dict[str, Any]:
verified = sum(1 for f in self.formalizations if f.verified)
proved = sum(1 for f in self.formalizations if f.proved)
skipped = sum(1 for f in self.formalizations if f.skipped)
return {
"source": self.document.title,
"source_hash": self.document.sha256,
"pages": len(self.document),
"detected": len(self.report.detections),
"statements": sum(1 for d in self.report.detections if d.kind == "statement"),
"problems": sum(1 for d in self.report.detections if d.kind == "problem"),
"multi_page": sum(1 for d in self.report.detections if d.spans_pages > 1),
"unresolved": len(self.report.unresolved),
"formalized": len(self.formalizations) - skipped,
"skipped": skipped,
"verified": verified,
"proved": proved,
"stored": len(self.stored),
"removed": self.removed,
}
def build_checker(settings: Settings, *, enabled: bool = True):
if not enabled:
return NullChecker()
checker = LeanChecker.from_settings(settings.lean)
return checker if checker.available() else NullChecker()
def to_row(document: Document, formalization: Formalization) -> ItemRow:
detection = formalization.detection
identifier = item_id(
document.sha256,
detection.start_page,
detection.start_index,
detection.end_page,
detection.end_index,
)
verify = formalization.verify
return ItemRow(
id=identifier,
source_hash=document.sha256,
kind=detection.kind,
label=detection.label,
summary=detection.summary,
informal=formalization.informal,
start_page=detection.start_page,
start_index=detection.start_index,
end_page=detection.end_page,
end_index=detection.end_index,
page_checksum=document.page(detection.start_page).checksum,
source_text=detection.text,
lean_name=formalization.name,
lean_code=formalization.lean_code,
imports=formalization.imports,
has_proof=formalization.has_proof,
verified=bool(verify and verify.ok),
proved=bool(verify and verify.proved),
verify_mode=verify.mode if verify else verification_mode(detection),
diagnostics=(verify.diagnostics if verify else ""),
confidence=formalization.confidence,
match_method=detection.match_method,
match_score=detection.match_score,
truncated=detection.truncated,
types=formalization.index_types,
)
def store(database: Database, document: Document,
formalizations: Sequence[Formalization]) -> list[str]:
database.upsert_source(
document.sha256,
title=document.title,
path=str(document.path),
pages=len(document),
extractor=document.extractor,
meta=document.meta,
)
stored: list[str] = []
for formalization in formalizations:
if formalization.skipped or not formalization.lean_code:
continue
stored.append(database.upsert_item(to_row(document, formalization)))
return stored
def ingest(
source: str | Path,
*,
settings: Settings | None = None,
client: Any = None,
database: Database | None = None,
checker: Any = None,
first_page: int | None = None,
last_page: int | None = None,
title: str = "",
replace: bool = True,
store_results: bool = True,
progress: Callable[[str], None] | None = None,
) -> IngestResult:
settings = settings or Settings.from_env()
client = client or build_client(settings.llm)
checker = checker if checker is not None else build_checker(settings)
owns_database = database is None
database = database or Database(settings.database)
say = progress or (lambda _message: None)
document = Document.load(source, title=title)
say(f"{document.title}: {len(document)} pages, sha256 {document.sha256[:12]}, "
f"extractor {document.extractor}")
result = IngestResult(document=document, report=DetectionReport())
try:
if store_results and replace:
if first_page or last_page:
result.removed = database.delete_pages(
document.sha256, first_page or 1, last_page or len(document)
)
else:
result.removed = database.delete_source(document.sha256)
if result.removed:
say(f"removed {result.removed} item(s) from the previous run")
say("detecting formalizable passages...")
result.report = detect_document(
client,
document,
first_page=first_page,
last_page=last_page,
max_window_pages=settings.max_window_pages,
progress=progress,
)
say(result.report.summary())
say("formalizing...")
result.formalizations = formalize_all(
client,
result.report.detections,
checker=checker,
document_title=document.title,
repair_attempts=settings.repair_attempts,
progress=progress,
)
if store_results:
result.stored = store(database, document, result.formalizations)
say(f"stored {len(result.stored)} item(s) in {database.path}")
finally:
if owns_database:
database.close()
return result