#!/usr/bin/env python3 """Collect EVERY candidate wallet's resolved bets into the cache, up to present. One-time (per refresh window) comprehensive pull so the whole candidate pool is local. Resumable: cache.get_bets skips wallets pulled within MAX_AGE_DAYS, so killing and re-running continues where it left off. Most-active wallets first, so a partial cache already covers the wallets most likely to be skilled. python3 collect.py """ import json import os import sys import time from concurrent.futures import ThreadPoolExecutor, as_completed import cache HERE = os.path.dirname(__file__) WORKERS = 16 # Bound each run: every never-pulled wallet is collected, but at most STALE_CAP of # the already-cached ones are refreshed (stalest first). Without the cap, the day # the bulk-ingested pool crosses MAX_AGE_DAYS together, a "daily" run balloons into # a ~40h re-pull that blocks every scoring step behind it in daily.sh and holds the # DuckDB write lock (even read_only connections fail) all day. At 2,500/day the # whole pool still turns over well inside the 14-day freshness window. STALE_CAP = int(os.environ.get("STALE_CAP", 2500)) def main(): cands = json.load(open(os.path.join(HERE, "candidates.json"))) cands.sort(key=lambda c: c.get("markets_seen", 0), reverse=True) ages = cache.pulled_ages() fresh_cut = time.time() - cache.MAX_AGE_DAYS * 86400 new = [c["wallet"] for c in cands if c["wallet"] not in ages] stale = sorted((c["wallet"] for c in cands if 0 < ages.get(c["wallet"], 0) < fresh_cut), key=ages.get) wallets = new + stale[:STALE_CAP] print(f"collecting {len(wallets):,} wallets ({len(new):,} new + " f"{len(stale[:STALE_CAP]):,} of {len(stale):,} stale, cap {STALE_CAP}) · " f"{WORKERS} workers", flush=True) done, t0 = 0, time.time() with ThreadPoolExecutor(max_workers=WORKERS) as ex: futs = [ex.submit(cache.get_bets, w) for w in wallets] for _ in as_completed(futs): done += 1 if done % 200 == 0: w, b = cache.stats() rate = done / max(1e-9, time.time() - t0) eta = (len(wallets) - done) / max(1e-9, rate) / 3600 print(f" {done:,}/{len(wallets):,} · cache {w:,}w/{b:,}bets · " f"{rate:.1f}/s · ETA {eta:.1f}h", flush=True) w, b = cache.stats() print(f"DONE {time.strftime('%F %T')} — cache: {w:,} wallets, {b:,} bets", flush=True) if __name__ == "__main__": main()