157 lines
4.8 KiB
Python
157 lines
4.8 KiB
Python
#!/usr/bin/env python3
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"""
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Backfill match_summary for replay files that were saved as .json.gz but never
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written to the DB — caused by process_match_summaries opening .gz files as
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plain text (fixed in the same PR as this script).
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Scans STORAGE/REPLAYS/SRE/ for all replay_data.json.gz files, skips any
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session_id already present in match_summary, then calls process_match_summaries
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for the remainder. Dedup is also enforced by the table's PRIMARY KEY so
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re-running this script is safe.
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Usage (from SREBOT root):
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python scripts/backfill_match_summary.py [--dry-run]
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"""
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from __future__ import annotations
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import argparse
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import asyncio
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import gzip
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import json
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import logging
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import os
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import sqlite3
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import sys
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from pathlib import Path
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# ── Bootstrap: make BOT importable ──────────────────────────────────────────
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_repo_root = Path(__file__).resolve().parents[1]
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sys.path.insert(0, str(_repo_root))
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try:
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from dotenv import load_dotenv
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load_dotenv(_repo_root / ".env")
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except ImportError:
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pass
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from BOT.utils import REPLAYS_DIR, SQ_BATTLES_DB_PATH
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from BOT.autologging import process_match_summaries
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logging.basicConfig(
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level=logging.INFO,
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format="[%(asctime)s] [%(levelname)s] %(message)s",
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)
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log = logging.getLogger("backfill")
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def _already_in_db(db_path: Path) -> set[str]:
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"""Return the set of session_ids already present in match_summary."""
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if not db_path.exists():
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return set()
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with sqlite3.connect(db_path) as con:
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rows = con.execute("SELECT session_id FROM match_summary").fetchall()
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return {r[0] for r in rows}
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def _load_replay(gz_path: Path) -> dict | None:
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try:
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raw = gz_path.read_bytes()
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return json.loads(gzip.decompress(raw))
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except Exception as e:
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log.warning("Failed to read %s: %s", gz_path, e)
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return None
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def _game_dict_from_replay(replay: dict, gz_path: Path) -> dict | None:
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session_id = replay.get("session_id_hex", "")
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if not session_id:
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# Fall back to directory name (which IS the hex id)
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session_id = gz_path.parent.name
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if not session_id:
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return None
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end_time = int(replay.get("end_ts") or replay.get("timestamp") or 0)
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if not end_time:
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# Use file mtime as a last resort
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end_time = int(gz_path.stat().st_mtime)
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mission_name = str(replay.get("map") or "")
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return {
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"sessionIdHex": session_id,
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"endTime": end_time,
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"missionName": mission_name,
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"receivedTime": end_time,
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}
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async def main(dry_run: bool) -> None:
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if not REPLAYS_DIR.exists():
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log.error("REPLAYS_DIR does not exist: %s", REPLAYS_DIR)
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sys.exit(1)
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already = _already_in_db(SQ_BATTLES_DB_PATH)
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log.info("match_summary already has %d entries", len(already))
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gz_files = sorted(REPLAYS_DIR.glob("*/replay_data.json.gz"))
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log.info("Found %d replay files in %s", len(gz_files), REPLAYS_DIR)
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# Session ID is the directory name — no file reads needed to find missing ones
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missing_paths = [p for p in gz_files if p.parent.name not in already]
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skipped = len(gz_files) - len(missing_paths)
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log.info(
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"Summary: %d to backfill | %d already in DB",
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len(missing_paths), skipped,
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)
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if not missing_paths:
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log.info("Nothing to do.")
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return
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if dry_run:
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log.info("[DRY RUN] Would backfill %d matches — not writing.", len(missing_paths))
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for p in missing_paths[:10]:
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log.info(" %s", p.parent.name)
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if len(missing_paths) > 10:
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log.info(" ... and %d more", len(missing_paths) - 10)
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return
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# Read files and write in batches of 50
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batch_size = 50
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total = len(missing_paths)
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done = 0
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unreadable = 0
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for i in range(0, total, batch_size):
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batch_paths = missing_paths[i : i + batch_size]
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batch: list[dict] = []
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for gz_path in batch_paths:
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replay = _load_replay(gz_path)
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if replay is None:
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unreadable += 1
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continue
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game = _game_dict_from_replay(replay, gz_path)
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if game is None:
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unreadable += 1
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continue
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batch.append(game)
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if batch:
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await process_match_summaries(batch)
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done += len(batch)
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log.info("Backfilled %d / %d", done, total)
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log.info("Done. %d written, %d unreadable.", done, unreadable)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument(
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"--dry-run", action="store_true",
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help="Scan and report what would be backfilled without writing anything."
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)
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args = parser.parse_args()
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asyncio.run(main(dry_run=args.dry_run))
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