Sample AI session DB migration review

This sample shows the shape of the paid deliverable. A real review is tailored from the buyer's migration repo, schema, sanitized source logs, report output, and recovery target.

Example finding

• Migration state: Codex JSONL, Gemini JSON, SQLite schema creation, merge mode, and HTML report generation are in one command path, so parse failures and DB-write failures can look like missing sessions.
• Main risk: deleting and reinserting events without a dry-run summary, backup check, and duplicate policy can make a migration appear successful while silently losing ordering or source metadata.
• Reliability decision: separate source inventory, schema validation, transaction planning, merge/dedupe policy, and report verification before running against the primary history database.

Example next experiments

1. Add a dry-run mode that counts sessions, events, skipped files, parse errors, and duplicate IDs before writing.
2. Run migrations into a temporary SQLite file and compare source event counts against inserted rows.
3. Record WAL, backup, and rollback steps before enabling merge into the default history database.
4. Only then add HTML report checks, cross-tool schema compatibility tests, and large-history performance baselines.

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