Add DataReader class for typed dataframe loading #2220
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Introduce DataReader that wraps TableProvider and applies type coercion functions when loading dataframes from weakly-typed formats (e.g. CSV). - Add DataReader class with methods for each table type: entities, relationships, communities, community_reports, covariates, text_units, and documents - Add typed loading functions in dfs.py for community_reports, covariates, text_units, and documents (entities, relationships, communities already existed) - Integrate DataReader into all 17 indexing workflows replacing raw read_dataframe calls - Integrate DataReader into CLI query's _resolve_output_files for typed loading across all search types (global, local, drift, basic) - Export DataReader from data_model package __init__
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Introduce DataReader that wraps TableProvider and applies type coercion functions when loading dataframes from weakly-typed formats (e.g. CSV).