Two connection-recovery gaps, both surfaced by a Postgres restart that left the app throwing tracebacks while the DB itself was healthy. pool_pre_ping + pool_recycle on the app engine [#2626]: when the database restarts, every connection already in the pool is dead at the socket level. SQLAlchemy only discovered that by failing a real query, so the first operation after a restart errored out on whatever triggered it. pre_ping checks liveness on checkout and swaps the dead connection transparently; pool_recycle caps connection age so a socket stranded by a NAT/conntrack timeout or a Docker network rebuild is retired on a timer instead. wait_for_database() gate at startup [#2627]: create_app touches the DB synchronously (migrations, secret re-encryption, settings load) and assumed it was both resolvable and accepting connections on the first try. Neither holds after a host reboot (Docker DNS not yet serving `db` -> gaierror -2) or an unclean shutdown (Postgres still replaying WAL -> "not yet accepting connections"). Both are transient, so retry with capped backoff behind one gate ahead of the first DB touch. Credential and missing-database errors are classified by SQLSTATE and still fail immediately -- waiting cannot fix those. Budget is bootstrap-configurable (STEWARD_DB_CONNECT_TIMEOUT / database.connect_timeout, default 60s) since it governs reaching the DB and so cannot live in the DB-backed settings. Tests drive the retry loop off a fake clock, so backoff and timeout behaviour are deterministic rather than wall-clock dependent. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
162 lines
6.2 KiB
Python
162 lines
6.2 KiB
Python
from __future__ import annotations
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import asyncio
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import logging
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import time
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from typing import TYPE_CHECKING
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from sqlalchemy import text
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from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession
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from sqlalchemy.pool import NullPool
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if TYPE_CHECKING:
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from quart import Quart
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logger = logging.getLogger(__name__)
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# Recycle pooled connections after 30 minutes. Nothing in Postgres closes an
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# idle connection by default, but the path to it is not always durable: NAT and
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# conntrack tables drop idle flows, and a Docker network rebuild silently
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# strands existing sockets. Capping connection age means a stranded connection
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# is retired on a timer instead of surfacing as a failed query later.
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POOL_RECYCLE_SECONDS = 1800
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# Total budget for the database to become reachable at startup, and the backoff
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# ceiling between attempts. 60s comfortably covers Postgres WAL recovery after
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# an unclean shutdown (observed ~7s) plus Docker DNS coming up on a host reboot.
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DB_CONNECT_TIMEOUT_SECONDS = 60.0
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_BACKOFF_INITIAL_SECONDS = 0.5
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_BACKOFF_MAX_SECONDS = 5.0
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# Postgres SQLSTATEs that will never resolve by waiting — retrying these just
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# delays a clear error behind a full timeout budget.
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_FATAL_SQLSTATES = {
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"28P01", # invalid_password
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"28000", # invalid_authorization_specification
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"3D000", # invalid_catalog_name — database does not exist
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}
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def init_db(app: "Quart") -> None:
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"""Create async engine and attach db_sessionmaker to app.
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Called during create_app() after config is loaded.
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Does not create tables — Alembic handles migrations.
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"""
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db_url: str = app.config["DATABASE_URL"]
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engine = create_async_engine(
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db_url,
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echo=False,
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# Check a pooled connection is still alive before handing it out. When
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# the database restarts, every connection already in the pool is dead
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# at the socket level; without this, SQLAlchemy only discovers that by
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# failing a real query, so the first operation after a DB restart
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# errors out on whatever triggered it (a request, a scheduled poll).
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# The check is a cheap round-trip and it makes a DB restart invisible.
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pool_pre_ping=True,
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pool_recycle=POOL_RECYCLE_SECONDS,
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)
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app.db_sessionmaker: async_sessionmaker[AsyncSession] = async_sessionmaker(
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engine, expire_on_commit=False
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)
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app._db_engine = engine
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def _fatal_sqlstate(exc: BaseException) -> str | None:
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"""Return the SQLSTATE if this error chain carries a non-retryable one."""
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seen: set[int] = set()
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cur: BaseException | None = exc
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while cur is not None and id(cur) not in seen:
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seen.add(id(cur))
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sqlstate = getattr(cur, "sqlstate", None)
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if sqlstate in _FATAL_SQLSTATES:
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return sqlstate
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cur = cur.__cause__ or cur.__context__
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return None
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def _describe(exc: BaseException) -> str:
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"""Innermost cause, which is the part that says what actually went wrong.
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SQLAlchemy wraps DBAPI errors several layers deep; the outer message is
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boilerplate, so surface the root for the waiting-for-database log line.
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"""
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cur: BaseException = exc
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seen: set[int] = {id(cur)}
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while True:
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nxt = cur.__cause__ or cur.__context__
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if nxt is None or id(nxt) in seen:
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return f"{type(cur).__name__}: {cur}"
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seen.add(id(nxt))
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cur = nxt
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def wait_for_database(
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db_url: str,
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timeout_seconds: float = DB_CONNECT_TIMEOUT_SECONDS,
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) -> None:
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"""Block until the database accepts a connection, or raise after the budget.
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Steward otherwise assumes the database is both resolvable and *ready* the
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first time it asks, which is false in two ordinary situations:
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• Host reboot / full stack restart — the app container can try to resolve
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the `db` service name before Docker's embedded DNS has the record,
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giving `gaierror -2 Name or service not known`.
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• Unclean shutdown — Postgres is listening but still replaying WAL, and
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refuses connections with "the database system is not yet accepting
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connections" until recovery reaches a consistent state.
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compose's `depends_on: service_healthy` covers ordering on a clean `up`,
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but not either of the above. Both are transient and self-healing, so retry
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rather than dumping a traceback and dying. Credential and missing-database
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errors are NOT transient and fail immediately.
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"""
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deadline = time.monotonic() + timeout_seconds
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delay = _BACKOFF_INITIAL_SECONDS
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attempt = 0
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last_exc: BaseException | None = None
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while True:
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attempt += 1
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try:
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asyncio.run(_probe(db_url))
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except Exception as exc: # broad by design — classified just below
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sqlstate = _fatal_sqlstate(exc)
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if sqlstate is not None:
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# Wrong password / missing database: waiting cannot fix it.
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raise
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last_exc = exc
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remaining = deadline - time.monotonic()
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if remaining <= 0:
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break
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logger.warning(
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"Database not ready (attempt %d, %.0fs budget left): %s — "
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"retrying in %.1fs",
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attempt, remaining, _describe(exc), min(delay, remaining),
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)
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time.sleep(min(delay, remaining))
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delay = min(delay * 2, _BACKOFF_MAX_SECONDS)
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else:
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if attempt > 1:
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logger.info("Database ready after %d attempt(s)", attempt)
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return
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detail = f" Last error: {_describe(last_exc)}" if last_exc is not None else ""
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raise RuntimeError(
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f"Database did not become available within {timeout_seconds:.0f}s "
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f"({attempt} attempts).{detail}"
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) from last_exc
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async def _probe(db_url: str) -> None:
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"""Open one throwaway connection and round-trip a trivial query.
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Uses its own engine with NullPool: this runs before the app engine exists,
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and a probe connection must never be left in a pool for real work to reuse.
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"""
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engine = create_async_engine(db_url, echo=False, poolclass=NullPool)
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try:
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async with engine.connect() as conn:
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await conn.execute(text("SELECT 1"))
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finally:
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await engine.dispose()
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