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winning-wallet-finder/live/collect.py
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#!/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()