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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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| .. | ||
| bulk_upload | ||
| comparable_properties | ||
| epc | ||
| fuel_rates | ||
| geospatial | ||
| historic_epc | ||
| landlord_overrides | ||
| magic_plan | ||
| materials | ||
| plan | ||
| product | ||
| property | ||
| property_baseline | ||
| scenario | ||
| solar | ||
| spatial | ||
| tasks | ||
| unstandardised_address | ||
| uploaded_file | ||
| __init__.py | ||
| postgres_unit_of_work.py | ||
| unit_of_work.py | ||