Khalim Conn-Kowlessar 246834fac0 Map shard rows to HistoricEpc field-by-field so every column is pyright-checked 🟩 ... 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>		2026-07-04 14:58:09 +00:00
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__init__.py	updated rdsap option; seperated s3 location in infrastrucutre; added open ai api	2026-05-22 14:00:33 +00:00
csv_s3_client.py	updated rdsap option; seperated s3 location in infrastrucutre; added open ai api	2026-05-22 14:00:33 +00:00
gzip_csv_s3_client.py	Map shard rows to HistoricEpc field-by-field so every column is pyright-checked 🟩	2026-07-04 14:58:09 +00:00
s3_client.py	updated rdsap option; seperated s3 location in infrastrucutre; added open ai api	2026-05-22 14:00:33 +00:00
s3_uri.py	updated rdsap option; seperated s3 location in infrastrucutre; added open ai api	2026-05-22 14:00:33 +00:00