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.
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)
* fix(sqlite): classify a missing database path as an invalid value
The snapshot reported an absent selected database as an artifact path
failure, which the adapter projects as invalid_format alongside malformed
paths and content. The snapshot owns the absence observation, so it now
returns an invalid_value input issue on path directly, matching the
adapter's existing ENOENT/ENOTDIR classification.
Fixes#2614
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(sqlite): classify a missing database path as an invalid value
The snapshot reported an absent selected database as an artifact path
failure, which the adapter projects as invalid_format alongside malformed
paths and content. The snapshot owns the absence observation, so it now
returns an invalid_value input issue on path directly, matching the
adapter's existing ENOENT/ENOTDIR classification.
Fixes#2614
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: morluto <76467478+morluto@users.noreply.github.com>
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)