SQLite in-memory engines use SingletonThreadPool, giving every Session
the same underlying connection. Repository methods create a new
Session via the factory, flush, then return — letting the Session go
out of scope. Under high memory pressure (e.g. 32 parallel behave
workers) Python's garbage collector closes these orphaned Sessions,
issuing an implicit ROLLBACK on the shared connection and wiping
flushed-but-uncommitted rows written by other Sessions.
Replace the plain sessionmaker with scoped_session in the r2cov
Background step so that every factory() call returns the same Session
instance. A single long-lived Session per scenario eliminates the
premature close/rollback window entirely.
Verified: 3 consecutive green runs with --processes 32 (10 099
scenarios, 0 failures each).
Refs: #570
Add TDD regression tests for bug #570 where `_get_session_service()`
calls `container.db()` but the DI `Container` class has no `db`
provider, raising `AttributeError`. Same root cause as bug #554.
Includes 4 Behave BDD scenarios tagged `@tdd_bug @tdd_bug_570
@tdd_expected_fail`, Robot Framework integration smoke tests with
`--format plain`, and ASV service-layer benchmarks. Tests exercise the
real DI path by resetting `_service = None` and using a file-based
SQLite database.
Implements the `@tdd_expected_fail` inversion infrastructure:
- Behave: `after_scenario` hook in `features/environment.py` inverts
pass/fail for scenarios tagged `@tdd_expected_fail`
- Robot: `robot/tdd_expected_fail_listener.py` listener (API v3)
performs the same inversion for Robot test cases
- `noxfile.py`: registers the listener via `--listener` in both the
`integration_tests` and `slow_integration_tests` sessions
Migrates 18 existing TDD scenarios across 5 feature files from the old
`@tdd @bugNNN` convention to the standardised `@tdd_bug @tdd_bug_NNN`
tags per CONTRIBUTING.md § TDD Bug Test Tags.
Refs: #570
brent.edwards
Brent E. Edwards