Allow the Datasette subprocess more time to become reachable under CI load.
If startup still times out, terminate the process and include stdout and stderr in the assertion so future failures have useful diagnostics.
Keep copied spreadsheet templates aligned with the single-row insert columns while still previewing auto primary keys in bulk insert rows.
Treat invalid JSON during live bulk-insert validation as unfinished input so Firefox does not expose browser-specific parse errors while typing.
Render omitted auto integer primary key values as muted auto text in the bulk insert preview so generated IDs are easier to understand.
Expose the auto primary key flag in insert UI metadata and cover the preview behavior in Playwright.
Expose conflict handling in the bulk insert UI when pasted rows include primary key columns, and route update-or-insert selections through the existing upsert API.
Add live validation for bulk textarea column errors and Playwright coverage for upsert permissions, conflict options, and validation behavior.
Refs shttps://github.com/simonw/datasette/pull/2813#issuecomment-4878320713
Expose whether the actor can insert rows in the create-table page data, then use that flag to hide and guard the create-table-from-data path. This avoids offering a flow that fails after preview for create-table-only actors.
Refs https://github.com/simonw/datasette/pull/2813#issuecomment-4878146376
Convert blank delimited cells to null when create-table-from-data inferred an integer or float column. This keeps sqlite-utils from treating mixed numeric and empty-string values as text.
Add a Playwright regression covering CSV table creation with a blank numeric value.
New create-view and drop-view actions.
Also fix a related bug in analyze_sql_tables(): SQLite's authorizer fires a spurious SQLITE_DELETE callback against the view name when a view is dropped (the same thing it does for dropped tables), which was incorrectly surfaced as a delete-row requirement on the view. Broaden the existing drop-table-delete suppression to cover dropped views too.
Closes#2819
Works entirely using existing JSON API.
User can paste in CSV, TSV or JSON (or drop a text file on).
They get a preview of the rows to be imported, then they
are imported in max_insert_rows batches.
