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woggioni 3669b59d1d

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Upgrade kaya to 0.0.5

kaya 0.0.5 surfaces a vanished websocket peer as
kaya.core.WebSocketDisconnect instead of leaking granian's
RSGIProtocolClosed: receive() reports a close message so iteration ends
normally, sends raise the new exception, and KayaApp.handle_websocket
swallows it as normal termination. Adopt it: drop the granian-specific
workaround from the platform websocket handler, catch
WebSocketDisconnect in the send helper, and model the new semantics in
the abrupt-disconnect test (with coverage that a send on a vanished
peer is ignored).

Regenerate the lock: the eight kaya pins move to 0.0.5 (declared
metadata is unchanged) and pip-compile also bumps PyJWT to 2.15.1, a
security release with no breaking changes for kaya-oidc's jwt.decode
usage. tavolo-platform now floors kaya-core>=0.0.5 (it imports
WebSocketDisconnect) and tavolo-app floors kaya-otel>=0.0.5.

2026-09-29 23:50:09 +08:00

src/tavolo

Tag traced requests with the session id and OIDC sub

2026-09-28 05:11:22 +08:00

pyproject.toml

Upgrade kaya to 0.0.5

2026-09-29 23:50:09 +08:00

README.md

Trace Postgres and Redis queries with the contrib instrumentations

2026-09-28 03:38:59 +08:00

README.md

tavolo-app

The deployable tavolo application: the composition root wiring tavolo-platform to the tavolo-scopone game.

app.py — assembles the KayaApp (session/OIDC/Tortoise/OpenAPI mixins plus PlatformMixin and the deadline scheduler), registers the ScoponeEngine with its configured timeouts, and exposes tavolo.app:app for granian.
config.py — environment-driven frozen Settings.
telemetry.py — the optional OpenTelemetry wiring beyond kaya-otel: meter/tracer/logger providers, the tavolo.active_users/tavolo.ongoing_games gauges (polled from the stores), process/CPython metrics via opentelemetry-instrumentation-system-metrics, Postgres/Redis query spans via the asyncpg/redis instrumentations, and OTLP log export.
aerich_config.py — Tortoise ORM configuration consumed by the aerich CLI (migrations live in server/migrations/; aerich itself is configured via the [tool.aerich] section of server/pyproject.toml).
logging_config.py — logging setup.
static.py — SPA shell hosting for the compiled frontend.

Development (from `packages/tavolo-app/`)

.venv/bin/python -m mypy --namespace-packages --explicit-package-bases \
  src/tavolo/app.py \
  src/tavolo/config.py \
  src/tavolo/telemetry.py \
  src/tavolo/static.py \
  src/tavolo/aerich_config.py \
  src/tavolo/logging_config.py

End-to-end coverage of the wired stack lives in server/tests/.

README.md

tavolo-app

Contents

Development (from packages/tavolo-app/)

Development (from `packages/tavolo-app/`)