Charge the whole-catalog admission guard by escaped decoded names, preserving raw-byte lookup identity and final worker reply limits. Keep UTF-16 inventory and detailed-schema results whose returned facts fit the documented allowance.
Fixes#6888
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
Match table metadata by stored name bytes and fold only ASCII code units for relationships, reusing parsed facts without per-trigger queries. Preserve caller paths on structured worker limits and V8 heap failures.
Validated invalid UTF-8 collisions, distinct UTF-16 names and real worker transport refusal through CLI and stdio MCP. Controlled stderr covers OOM classification; actual memory exhaustion was not induced.
Fixes#6795Fixes#6607
Retain bounded FAT and offset-tagged PE observations through archive hashing,
classification, and content nodes. Preserve PyInstaller member paths according
to the observed carrier dialect and share APK v1 signing-name semantics.
Read SQLite's implicit sqlite_schema table without inventing a stored schema
declaration. Distinguish unsupported ELF numbering and decoded-name admission
from malformed data and fixed scan allowances. Preserve Sigrok basenames and
classify matching explicit input-format refusals at their owning boundary.
Validation: 554 distinct tests passed, 3 skipped across serial focused runs;
build, typecheck/lint, docs, formatting, and discovery (2141 files) passed.
Sigrok command-boundary simulators do not establish real-tool decoding.
Small repeated public PyInstaller CLI runs had equivalent inventory facts;
warm median elapsed 0.5431s before / 0.5426s after, with no speed claim.
Fixes#6733Fixes#6741Fixes#6722Fixes#6732Fixes#6736Fixes#6734Fixes#6764Fixes#6766
Refs #6739
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)
Read raw column metadata through the built-in PRAGMA in the private empty temp schema. Validate bytes before names become SQL identifiers, and select inventory subsets by exact encoded identity so unrelated malformed names cannot alias valid columns.
Validation: 5 focused identity controls; 15 selected producer/provider controls (33 skipped); public CLI baseline collision, fixed format refusal and valid-subset success; check:fast and docs:check. Generated inert SQLite fixtures on macOS arm64 with Node 24.18.0; no Windows qualification or large-file/stress workload.
Refs #4710
Refuse oversized database and WAL inputs before acquisition with exact observed bytes and export guidance. Keep initial path failures separate from file-set changes and retain cleanup and partial observations on late growth.
Refs #4208, #4188, #4141, #4127
Co-authored-by: hima <1ep23ic023@eastpoint.ac.in>
Co-authored-by: Royce <roycelam@umich.edu>
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