Use one bound JSON selection set for inventory metadata, keeping raw-name byte
comparison and filtering inside SQLite while preserving caller projection order
and repetition. Large requests reach native result-column capacity attribution.
Separate unavailable row sources from generated-expression failures. Preserve
SQLite's reason and selected table/path, offer schema-only recovery, and avoid
claiming corruption or recommending unreadable columns.
Validated UTF-8/UTF-16 identity, native inspection/worker tests and CLI/MCP failure
and recovery workflows. The large CLI selection uses the existing framed CLI
fixture to avoid host argv limits. Source bytes and identity remain unchanged.
Fixes#6855Fixes#6604
A projection wider than SQLite's native result-column limit failed with the
generic "too many columns in result set" SQL error. The inspector could not
attribute that error to a generated column, so the worker reported "format"
and the parent blamed the caller's path as invalid_format even though the
selected database was readable.
Classify the refusal from SQLite's own column limit for the private
connection, carry the selected and engine counts through the worker reply,
and project it as a capacity resource constraint. The database stays
readable, no partial rows are returned, and the recovery names the column
counts and splitting the projection across calls.
* fix(sqlite): attribute generated-column evaluation failures to the selection
A selected virtual generated column whose expression needs a function the
read-only connection lacks (or raises an SQL error for a sampled row) was
classified by the worker's catch-all as a malformed database and projected as
an invalid_format issue on `path`.
Row reads now attribute SQLITE_ERROR from selected cells by probing each
selected virtual generated column over the sampled rows, and report a
typed capability_unavailable refusal naming the table, each failing column
with SQLite's message, and the remaining columns to select. Other causes,
including corruption, TOOBIG and NOMEM, keep their classification.
Fixes#5719
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(sqlite): recommend only probed-readable columns after evaluation failures
Record every per-column probe failure with its own reason, discover stored
columns outside an inventory-scope selection without decoding unrelated
malformed names, and present recovery as the structured columns selection
instead of shell-quoted command text built from database-supplied names.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Expose a per-call SQLite worker deadline with exact CLI/MCP recovery controls,
parent-owned execution metadata and historical unknown preservation. Keep fixed
resource limits and cleanup admission intact. Share typed cleanup composition
with one captured-output owner and preserve the timeout after cleanup resolves.
Fixes#5812. Follow-up tracking: #5808. Existing CLI test-oracle failure: #5845.
Verified 155 SQLite tests (3 skipped), static/docs/discovery checks, six real
CLI/MCP pairs and 13 actual Codex sessions including four corrected deadline
recoveries. Three pre-dispatch discovery failures remain explicit, not passes.
Review findings include real retained-cleanup and fixture ownership regressions.
Assisted-by: Kogasa (gensokyo-skills:kogasa-surprise-testing)
Every worker "selection" rejection was projected onto the table argument,
including an exact column name that does not exist in an existing table.
Give column rejections their own worker reason and map each input reason
to the caller argument it requires correcting. Table rejections keep the
table path.
Fixes#2613
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Add offline SQLite database/WAL inspection through the shared CLI/MCP.
Use compact inventory, selected-table schema, exact ordered columns and
bounded row samples while preserving source identity and lossless values.
Retain completed Evidence through late cancellation and private-root cleanup
failures, bound concurrent inspections, and recheck journal validity after
acquisition. Reuse prepared CI runtime artifacts across supported Node lines.
Co-authored-by: Y0UW1SH <29498139+Y0UW1SH@users.noreply.github.com>
Assisted-by: Kogasa (gensokyo-skills:kogasa-surprise-testing)
morluto