The row→domain mapper now names all 93 constructor arguments explicitly
instead of splatting a lowercased dict, takes a plain Mapping (a
DataFrame.to_dict("records") row) instead of a pandas Series, and ignores
columns the domain type doesn't know. A missing/renamed CSV column fails
loudly as a KeyError at the row. Both iterrows() call sites move to
to_dict("records") — pandas-stubs types iterrows' Series unparameterized,
which strict mode rejects. pandas-stubs + boto3-stubs[s3] make the stack
check clean: pyright strict is now 0 errors across the PR's files.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
tests/orchestration/test_postcode_splitter_orchestrator.py imports
`from moto import mock_aws` (moto 5.x) but moto was absent, so the file
errored at collection. Pin moto[s3,sqs]==5.0.28 (S3+SQS are the only mocked
services); resolves cleanly against the boto3 1.35.44 and cryptography 43.0.3
pins. All 4 tests pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
