The bot's request_queue.py 4s FIFO gate wasn't protecting against Lichess's
rate limiter — that's already handled downstream in LichessWebServices/
rate_limiter.py (0.2s, shared across all callers of our stats service). The
bot-side gate only paced calls to our own local service, and since it awaited
each request to full completion before dequeuing the next, real dispatch gaps
were max(4s, previous request's duration) — with 454 tracked gamer/user pairs,
any burst (e.g. after a restart) piled into the queue and took 10-20+ minutes
to drain.
Replace it with a paced-dispatch + bounded-concurrency design: a hard 2s floor
between dispatches (still never lets 2+ requests through in that window),
decoupled from completion time, with up to 10 requests actually in flight at
once via a semaphore. Doesn't touch the real Lichess-facing rate limit at all.
Also add deterministic per-(user,gamer) checkpoint jitter: previously every
pair sharing the same period_minutes re-locked onto the same wall-clock phase
on every restart (backlog collapse snaps period_end_approx to `now` for
everyone overdue at once), recreating the pileup each time. Jitter is stable
across restarts (crc32-based, not Python's salted hash()) and capped well
under the 2h stale-backlog threshold. Small startup stagger added too, purely
cosmetic smoothing on top of the jitter fix.
- Remove IS_PROD flag and hardcoded tokens from config.py
- Read TELEGRAM_BOT_TOKEN and ADMINPANEL_TELEGRAM_BOT_TOKEN from env
- Add env_file: .env to lichess-bot and admin-bot in docker-compose.yml
- Add .env to .gitignore (no longer tracked)
- Add .env.example with test tokens
- Объединены три проекта в один репозиторий
- LichessWebServices - REST API для статистики
- LichessClientTG_bot - Telegram бот с поддержкой множества пользователей
- LichessWebView - Веб-интерфейс для просмотра пользователей и игроков
- Добавлен общий docker-compose.yml для запуска всех сервисов
- Добавлен скрипт start.sh для удобного запуска
- Добавлен README с полным описанием проекта
