Files
game-library/scripts/review_queue.py
Claude Agent 66ae831c36 Rebuild extraction pipeline infrastructure (Faza 0 prep)
Implements the approved plan to replace the broken regex/index-master
extraction with an LLM-subagent pipeline. Four parallel lanes:

Lane A — scripts/extract_common.py (PDF/docx/doc/pptx/html/zip, no
  max_pages truncation), normalize_sources.py, chunk_sources.py
  (~20pg chunks + overlap, manifest registry), activity_schema.json.
Lane B — app/config_taxonomy.py (16 fixed category slugs), schema
  rebuilt from scratch in app/models/ with content_type, language,
  source_files, source_excerpt, normalized_name, extraction_confidence,
  needs_review; FTS5 + 3 triggers extended with materials_list and
  skills_developed.
Lane C — build_database.py (--rebuild, atomic swap, schema + fuzzy
  source_excerpt validation, dedup with needs_review band),
  validate_extractions.py, review_queue.py, new run_extraction.py
  orchestrator, SUBAGENT_PROMPT.md.
Lane D — search.py content_type/language filters (default search
  excludes non-game content), E7 schema-compat audit; fixed a NULL
  keywords AttributeError in _boost_search_relevance.

Removes 8 orphaned/dead scripts and app/services/parser.py +
indexer.py. Adds tests/ (70 passing, 1 skipped — libreoffice absent).

Note: Lane D made one additive edit to app/models/database.py
(_update_category_counts) to surface content_type/language in
get_filter_options, outside its nominal lane boundary but after
Lane B completed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-19 17:43:38 +00:00

146 lines
4.9 KiB
Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
review_queue.py — CLI for the needs_review lifecycle (plan §5c).
Rows land in the queue when dedup leaves a borderline pair separate, or when a
legacy `.doc` source was converted imperfectly. Each row has a stable content
key; a decision written here is stored in data/review_decisions.json (git
tracked) and re-applied by build_database.py on every rebuild, so the queue
never resurfaces a resolved row.
Commands:
python scripts/review_queue.py list
python scripts/review_queue.py resolve <id> <merge|keep-separate|drop>
"""
from __future__ import annotations
import argparse
import json
import sqlite3
import sys
from pathlib import Path
from typing import Optional
SCRIPT_DIR = Path(__file__).resolve().parent
REPO_ROOT = SCRIPT_DIR.parent
for _p in (str(SCRIPT_DIR), str(REPO_ROOT)):
if _p not in sys.path:
sys.path.insert(0, _p)
from import_common import content_key, normalize_name # noqa: E402
VALID_DECISIONS = ("merge", "keep-separate", "drop")
# --------------------------------------------------------------------------
# review_decisions.json
# --------------------------------------------------------------------------
def load_decisions(path: Path) -> dict:
if path.is_file():
try:
data = json.loads(path.read_text(encoding="utf-8"))
if isinstance(data, dict):
return data
except (json.JSONDecodeError, OSError):
pass
return {}
def save_decisions(decisions: dict, path: Path) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(
json.dumps(decisions, indent=2, ensure_ascii=False, sort_keys=True),
encoding="utf-8",
)
# --------------------------------------------------------------------------
# queue
# --------------------------------------------------------------------------
def list_queue(db_path: Path) -> list[dict]:
"""Return every needs_review row in the current DB, with its content key."""
if not db_path.is_file():
return []
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
try:
rows = conn.execute(
"SELECT name, normalized_name, language, description "
"FROM activities WHERE needs_review = 1 ORDER BY normalized_name"
).fetchall()
except sqlite3.OperationalError:
return []
finally:
conn.close()
out = []
for row in rows:
norm = row["normalized_name"] or normalize_name(row["name"])
key = content_key(norm, row["language"], row["description"] or "")
out.append({
"id": key,
"name": row["name"],
"language": row["language"],
"description": row["description"] or "",
})
return out
def resolve(decisions_path: Path, content_id: str, decision: str) -> dict:
"""Record a decision for a content key in review_decisions.json."""
if decision not in VALID_DECISIONS:
raise ValueError(
f"invalid decision {decision!r}; expected one of {VALID_DECISIONS}"
)
decisions = load_decisions(decisions_path)
decisions[content_id] = {"decision": decision}
save_decisions(decisions, decisions_path)
return decisions
# --------------------------------------------------------------------------
# CLI
# --------------------------------------------------------------------------
def main(argv: Optional[list[str]] = None) -> int:
parser = argparse.ArgumentParser(description="needs_review queue CLI")
parser.add_argument("--db", default="data/activities.db")
parser.add_argument("--decisions", default="data/review_decisions.json")
sub = parser.add_subparsers(dest="command", required=True)
sub.add_parser("list", help="list rows currently flagged needs_review")
p_resolve = sub.add_parser("resolve", help="record a decision for a row")
p_resolve.add_argument("id", help="content id from `list`")
p_resolve.add_argument("decision", choices=VALID_DECISIONS)
args = parser.parse_args(argv)
if args.command == "list":
rows = list_queue(Path(args.db))
if not rows:
print("review queue is empty.")
return 0
print(f"{len(rows)} row(s) need review:\n")
for r in rows:
desc = r["description"][:80].replace("\n", " ")
print(f" id : {r['id']}")
print(f" name : {r['name']} [{r['language']}]")
print(f" desc : {desc}")
print(f" -> review_queue.py resolve {r['id']} <merge|keep-separate|drop>")
print()
return 0
if args.command == "resolve":
resolve(Path(args.decisions), args.id, args.decision)
print(f"recorded: {args.id} -> {args.decision}")
print(f"written to {args.decisions} (applied on next build_database --rebuild)")
return 0
return 1
if __name__ == "__main__":
raise SystemExit(main())