Data integrity audit

data-integrity-audit — read-only SQLite integrity audit

The engine is integrity_audit.py (Python 3 stdlib, sqlite3 only, zero deps). It opens a database strictly READ-ONLY through a file:…?mode=ro URI — the file is never created, written, or write-locked — and runs three independent checks, each reporting PASS/FAIL with a row count and the first 5 offending rowids:

1. PRAGMA integrity_check — page/index/row structural corruption.
2. PRAGMA foreign_key_check — SQLite's built-in dangling-FK sweep.
3. orphan detection — for every FK constraint in every table's PRAGMA foreign_key_list, counts child rows whose FK tuple has no matching parent. Multi-column (composite) FKs are matched as a tuple, not column-by-column, so a row whose individual values each appear in the parent but whose combination does not is still caught; constraints are counted by distinct FK id, not by column. This holds even when PRAGMA foreign_keys enforcement was OFF at INSERT time (SQLite defaults enforcement off per-connection), so bad data already at rest is found. A NULL in any FK column satisfies the constraint (MATCH SIMPLE) and is not counted as a violation.

Target class: application SQLite databases

The intended targets are your application's own SQLite databases — a cache, backtest/result DB, or any embedded store a process writes to on a schedule. Two hard rules:

• NEVER run this against a DB that a writer process is mid-write on. If a scheduled job or long-running process holds the DB, audit only when no writer is live — even a read-only open takes a shared lock and can read a half-written transaction as "current." Read-only mode protects the file, not your interpretation of a live write.
• The audit is read-only by design — it will never repair. On a FAIL, capture the output and hand the fix to a writer path under your own test discipline (any frozen/regression assertions must still hold after the fix).

Commands

python integrity_audit.py --db <path>   # audit one DB, opened read-only
python integrity_audit.py --canary      # self-test (the done-check)
python integrity_audit.py --help

• --db <path> prints a header line (db + local timestamp), one line per check ([PASS]/[FAIL] + row count; orphan line also notes how many FK constraints were scanned), offending rowids under any FAIL, and a final RESULT: PASS|FAIL. Exit 1 if any check failed.

Example

$ python integrity_audit.py --db /var/data/price_cache.db
data-integrity-audit  db=/var/data/price_cache.db  2026-07-21 10:38:04
------------------------------------------------------------
[PASS] integrity_check     rows=0
[PASS] foreign_key_check   rows=0
[FAIL] orphan_detection    rows=3 (2 FK constraint(s) scanned)
       - prices.symbol_id -> symbols.id: 3 orphan(s), rowids [4192, 4193, 4198]
------------------------------------------------------------
RESULT: FAIL

Postgres — documented queries, NOT executed

This skill is SQLite-only; it does not touch Postgres. If your stack is FastAPI/Postgres (or similar) and holds sensitive user data, run these equivalents by hand via psql when you need the same audit there (read-only session, off-peak):

-- 1. structural integrity: Postgres has no PRAGMA integrity_check.
--    Nearest read-only checks:
--    per-table heap/index consistency (superuser, needs the amcheck extension):
--      CREATE EXTENSION IF NOT EXISTS amcheck;
--      SELECT bt_index_check(c.oid)
--      FROM pg_class c JOIN pg_am a ON a.oid = c.relam
--      WHERE a.amname = 'btree' AND c.relkind = 'i';

-- 2. dangling foreign keys — one query per FK. Enumerate FKs first:
SELECT conrelid::regclass  AS child,
       confrelid::regclass AS parent,
       conname
FROM   pg_constraint
WHERE  contype = 'f';

-- 3. orphan count for a given FK (child.col -> parent.pk), enforcement-independent:
SELECT count(*) AS orphans
FROM   child c
LEFT   JOIN parent p ON p.id = c.parent_id
WHERE  c.parent_id IS NOT NULL
AND    p.id IS NULL;

These are documentation only — nothing here executes them. Treat any output as potentially sensitive and handle under your project's data rules.

Windows notes

• Runs under both PowerShell 5.1 and Git Bash; no shell-chaining/quoting traps — a single --db <path> argument, forward or back slashes both accepted (the script absolutizes and normalizes to a file: URI internally).
• Read-only open means the audit never trips the "rewriting a DB file corrupts it" class of hazard — it issues no writes at all.

Storage / exit codes

Writes nothing (read-only tool). Exit codes: 0 clean · 1 any check failed or canary failure · 2 usage error (bad flag, missing --db path, unopenable file, or a corrupt-header / non-SQLite file — reported cleanly on stderr, no traceback) · 3 WARN: the file is a valid but empty / 0-byte database (all checks trivially pass over zero tables — surfaced so a truncated file is not mistaken for a clean audit).

Verification (the done-check)

python integrity_audit.py --canary

Builds three throwaway DBs in a temp dir: a bad one created with foreign_keys=OFF plus a planted orphan child row (asserts all three checks run, the orphan is caught with its rowid, NULL FKs are excluded, and audit() exits 1); a clean one (asserts no orphans and exit 0); and a composite-FK one whose tuple orphan (1,4) has each column value present in the parent but not the combination (asserts the tuple orphan is caught, and that one composite constraint counts as ONE, not two). Also asserts the read-only handle rejects a write. Cleans up and prints CANARY PASS 13/13 (exit 0) or CANARY FAIL (exit 1). Must pass before you trust a result.