fix[py]: update to df_to_html() method to fix query() tool
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...instead of requiring explicit DataSource subclass creation
…provements Plus some improvements: - Cleaner .md file reading code in example apps - Use GPT-4.1 by default, not GPT-4 😬 - Make sqlalchemy required
…-datasource-improvements
fix: No longer need to manually calls session$ns() with shinychat (#1…
R generic datasource
update to use s3 classes to simplify the code
Previously, the examples/app-database.R would shown an error on startup because the initial query was "", which was then sent as a SQL query to RSQLite. The get_lazy_data code path accounted for the "" query, so we decided to make the eager code path just call the lazy code path, then collect(). Also fixed a formatting issue with the table.
It seems like dbplyr tables-as-queries can be a bit... temperamental. This should fix that by explicitly declaring sql always.
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Something went a bit awry with the commits in this PR (I think because you're using your |
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In the current version of querychat, any attempt by the sidebot to use the
query()tool leads to the following error, when using a SQLAlchemySource.This is because SQLAlchemySource.execute_query() ALWAYS returns a pandas DataFrame. This fixes that by converting pandas DataFrames (or other compliant objects) to Narwhals.