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246834fac0
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>
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|---|---|---|
| .. | ||
| domain | ||
| loaders | ||
| schema | ||
| search | ||
| surveys | ||
| __init__.py | ||
| construction_age_band.py | ||
| efficiency.py | ||
| floor.py | ||
| fuel.py | ||
| heating_controls.py | ||
| hotwater.py | ||
| main_heating.py | ||
| property_type_built_form.py | ||
| roof.py | ||
| walls.py | ||
| windows.py | ||