scripts/librarian_survey.py walks docs/archive/*.md and dispatches every entry without a research counterpart through the same prompt assembly as librarian_promote.py. Outputs land under runs/tmp/librarian-survey-<timestamp>/, classified into: <stem>.md draft, ready to copy into docs/research/ <stem>.SKIP.txt LLM's one-line "not promotable" reason <stem>.ERROR.txt CLI stderr if the call itself failed Counterpart detection uses exact stem match plus a tail-match heuristic so research notes that intentionally drop a domain prefix still suppress their archive. Verified against the current tree: docs/archive/deep-cfr-opponent-policy-network-divergence-* is correctly recognized as already covered by docs/research/opponent-policy-network-divergence.md. --dry-run lists candidates and suggested research targets without calling the LLM. --max N caps processed archives per run, useful as a cost guard. Sequential dispatch; one LLM call per archive. Plan updated to mark survey mode complete. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
205 lines
7.1 KiB
Python
205 lines
7.1 KiB
Python
"""Stage 2 survey mode: promote-scan every archive without a research counterpart.
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Walks `docs/archive/*.md`, filters out entries that already have a
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`docs/research/<stem>.md` (after stripping any -YYYY-MM-DD suffix),
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and dispatches each remaining archive to the configured LLM via the
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same prompt assembly as `scripts/librarian_promote.py`. Outputs
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land under `runs/tmp/librarian-survey-<timestamp>/`, one file per
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archive.
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Per archive output:
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- `<stem>.md` — markdown draft, when the LLM judged the entry
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promotable (ready to copy into `docs/research/`).
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- `<stem>.SKIP.txt` — the LLM's one-line reason, when it judged
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the entry non-promotable.
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- `<stem>.ERROR.txt` — captured stderr, when the CLI itself failed.
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Sequential; one LLM call per archive.
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Usage:
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uv run python scripts/librarian_survey.py
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LIBRARIAN_LLM=gemini uv run python scripts/librarian_survey.py
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uv run python scripts/librarian_survey.py --dry-run # list candidates only
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uv run python scripts/librarian_survey.py --max 3 # limit to first 3 candidates
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"""
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from __future__ import annotations
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import argparse
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import os
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import re
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import subprocess
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import sys
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from datetime import datetime
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from pathlib import Path
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LLM_COMMANDS = {
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"claude": ["claude", "-p"],
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"codex": ["codex", "exec"],
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"gemini": ["gemini", "-p", ""],
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}
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DATE_SUFFIX = re.compile(r"-\d{4}-\d{2}-\d{2}$")
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def _repo_root() -> Path:
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current = Path(__file__).resolve()
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for parent in current.parents:
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if (parent / "pyproject.toml").is_file():
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return parent
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raise RuntimeError("pyproject.toml을 찾을 수 없어 repository root를 판정할 수 없습니다.")
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def _assemble_prompt(
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system_prompt: str,
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rel_archive: Path,
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archive_body: str,
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rel_target: Path,
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) -> str:
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return (
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f"{system_prompt}\n\n"
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"---\n\n"
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"Task: Draft a `docs/research/` note from the archive entry below.\n"
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"Follow the rules in your system prompt above (style template, "
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"`Last verified:` and `Source:` headers, `file:line` citations "
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"verified against the current tree, ~1 page, prose over bullet "
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"soup).\n\n"
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f"**Source archive:** `{rel_archive}`\n"
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f"**Suggested target filename:** `{rel_target}`\n\n"
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"If the archive does not contain a durable conclusion (e.g. it "
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"is a one-off bench result with no general lesson), respond "
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"with a single line `SKIP: <reason>` instead of a draft.\n\n"
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"Output: the markdown content of the new file only. No "
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"preamble, no code fences around the whole thing, no "
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"explanation after. Begin with the H1 header line.\n\n"
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"---\n\n"
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"Archive body:\n\n"
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f"{archive_body}\n"
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)
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def _has_counterpart(archive_stem_no_date: str, research_stems: set[str]) -> bool:
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"""True if a research note already covers this archive entry.
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Checks exact match plus tail match: archive `deep-cfr-foo-bar`
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is considered covered if research `foo-bar` exists, since some
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research notes intentionally drop a domain prefix.
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"""
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if archive_stem_no_date in research_stems:
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return True
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parts = archive_stem_no_date.split("-")
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for i in range(1, len(parts)):
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tail = "-".join(parts[i:])
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if tail in research_stems:
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return True
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return False
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def _candidates(root: Path) -> list[tuple[Path, Path]]:
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"""Return (archive_path, suggested_research_target) for archives lacking a counterpart."""
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archive_dir = root / "docs" / "archive"
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research_dir = root / "docs" / "research"
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research_stems = {p.stem for p in research_dir.glob("*.md")}
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out: list[tuple[Path, Path]] = []
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for path in sorted(archive_dir.glob("*.md")):
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stem = DATE_SUFFIX.sub("", path.stem)
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if _has_counterpart(stem, research_stems):
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continue
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target = research_dir / f"{stem}.md"
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out.append((path, target))
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return out
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def main() -> int:
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parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
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parser.add_argument(
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"--dry-run",
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action="store_true",
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help="List candidate archives and their suggested research targets; do not call the LLM.",
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)
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parser.add_argument(
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"--max",
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type=int,
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default=None,
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help="Process at most N archives (testing/cost guard).",
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)
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args = parser.parse_args()
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root = _repo_root()
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candidates = _candidates(root)
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if args.max is not None:
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candidates = candidates[: args.max]
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if not candidates:
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print("No archive entries without a research counterpart. Nothing to do.")
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return 0
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if args.dry_run:
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print(f"{len(candidates)} archive entries lack a research counterpart:")
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for archive, target in candidates:
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print(f" {archive.relative_to(root)} → {target.relative_to(root)}")
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return 0
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backend = os.environ.get("LIBRARIAN_LLM", "claude").lower()
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cmd = LLM_COMMANDS.get(backend)
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if cmd is None:
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print(
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f"Unknown LIBRARIAN_LLM={backend}; supported: {sorted(LLM_COMMANDS)}",
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file=sys.stderr,
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)
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return 1
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system_prompt = (root / "scripts" / "librarian-prompt.md").read_text(encoding="utf-8")
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timestamp = datetime.now().strftime("%Y-%m-%d_%H%M%S")
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out_dir = root / "runs" / "tmp" / f"librarian-survey-{timestamp}"
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out_dir.mkdir(parents=True, exist_ok=True)
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drafts = 0
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skips = 0
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errors = 0
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for idx, (archive, target) in enumerate(candidates, 1):
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rel_archive = archive.relative_to(root)
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rel_target = target.relative_to(root)
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print(f"[{idx}/{len(candidates)}] {rel_archive} → {backend}", file=sys.stderr)
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archive_body = archive.read_text(encoding="utf-8")
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prompt = _assemble_prompt(system_prompt, rel_archive, archive_body, rel_target)
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result = subprocess.run(
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cmd,
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input=prompt,
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capture_output=True,
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text=True,
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check=False,
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)
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stem_out = DATE_SUFFIX.sub("", archive.stem)
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if result.returncode != 0:
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(out_dir / f"{stem_out}.ERROR.txt").write_text(result.stderr, encoding="utf-8")
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errors += 1
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print(f" ERROR (exit {result.returncode})", file=sys.stderr)
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continue
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output = result.stdout.strip()
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if output.lstrip().upper().startswith("SKIP"):
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(out_dir / f"{stem_out}.SKIP.txt").write_text(output, encoding="utf-8")
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skips += 1
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print(f" SKIP ({output[:80]})", file=sys.stderr)
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else:
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(out_dir / f"{stem_out}.md").write_text(output, encoding="utf-8")
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drafts += 1
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print(f" draft ({len(output)} chars)", file=sys.stderr)
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print()
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print(f"Survey complete: {drafts} drafts, {skips} skips, {errors} errors.")
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print(f"Output: {out_dir.relative_to(root)}")
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if drafts:
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print()
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print("Next: review drafts, then for each acceptable one:")
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print(f" cp {out_dir.relative_to(root)}/<name>.md docs/research/<name>.md")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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