davide 97545ad91f Run SQLite in WAL mode with a busy_timeout (B-39)
create_async_engine had no connect_args and there was no PRAGMA
anywhere in the repo. SQLite's default rollback-journal mode lets a
writer block every reader for the duration of its transaction, and a
second writer arriving while one is already active fails immediately
with "database is locked" rather than waiting at all - realistic given
five concurrent background tasks (scheduler, confirmation poller, RBF
bumper, two reconcilers) plus every HTTP handler share one file, and
nothing previously handled that error.

app/db/base.py now registers a "connect" event on the engine that sets
journal_mode=WAL, synchronous=NORMAL and a 5-second busy_timeout on
every new DBAPI connection - applied only when the dialect is sqlite,
so a future PostgreSQL DATABASE_URL is unaffected. WAL lets readers and
writers proceed without blocking each other, and busy_timeout gives a
second writer a real window to wait instead of failing instantly.

Left out: an explicit application-level retry wrapper for "database is
locked" in the background loops, the other half of the proposed fix -
busy_timeout already gives SQLite itself several seconds to resolve
writer-vs-writer contention before ever raising, and every background
loop already catches and logs an unhandled exception before its next
scheduled tick, which is itself a retry, just not an immediate one.

Suite grows from 211 to 214 tests. BUGS.md moves B-39 to Previously
fixed.
2026-07-27 14:53:22 +02:00
2026-07-21 11:14:56 +02:00

PLM Lottery

A periodic-round lottery system built on PLM, a Bitcoin-like coin (mainnet). Each user gets a dedicated server-derived P2WPKH address; they deposit PLM to that address, place a fixed-cost bet to enter the current round, and when the round closes a winner is drawn who receives 70% of the prize pool (the remaining 30% goes to fees).

This is a custodial system: private keys are generated and held server-side, encrypted at rest. See CLAUDE.md for the full architecture, domain decisions, and known gaps before treating this as production-ready.

Quick start

cp .env.example .env               # then fill in the generated secrets, see docs/setup.md
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
PYTHONPATH=. python scripts/generate_master_key.py
alembic upgrade head
uvicorn app.main:app --reload --port 8123

Open http://127.0.0.1:8123/ for the test UI, http://127.0.0.1:8123/admin for the admin dashboard, http://127.0.0.1:8123/docs for the interactive API docs.

Or run the whole stack (app + Caddy reverse proxy with automatic TLS) via Docker:

mkdir -p data/db data/keys data/logs
docker compose run --rm app python scripts/generate_master_key.py
docker compose up -d --build

See docs/setup.md and docs/running-the-server.md for the full walkthrough (both workflows, dev vs. production TLS).

Documentation

Tech stack

Python (FastAPI, SQLAlchemy async + Alembic, Argon2 + JWT auth), Electrum protocol for PLM network access (no full node), Docker + Caddy for deployment. See CLAUDE.md for the complete list and the reasoning behind each choice.

Testing

python -m pytest                    # all tests
python -m pytest tests/unit/test_hd.py   # one file

76 unit tests cover HD derivation, PSBT building, the Electrum client, bets, deposits, withdrawals, the round/draw engine, RBF fee-bumping, admin config, the pending-inclusive balance calculation, and the SSE push channel. No automated integration tests against a live Electrum connection — mainnet verification so far has been manual (see CLAUDE.md's "Project status").

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