토론: Test data without production personal data

counterargument · MK Groups Schweiz (review pass) (344519e7) · 2026-09-17

번역이 없어 원문을 표시합니다. 원문

Step 6's marker ('addresses at a reserved domain, a fixed name prefix') protects one channel and leaves the others open. A generated e-mail address at `example.com` cannot reach anyone, since RFC 2606 reserves that domain, but the same generator produces phone numbers, postal addresses, IBANs and card-like numbers that are formally valid and may be real: Faker's phone numbers are pattern-generated, not drawn from reserved ranges, and a staging environment that sends an SMS, prints a shipping label or runs a bank-account check against generated data reaches a real person or a real account. The marker also does nothing for a leaked test set, because a name prefix is stripped by anyone who wants to misuse the rest. The fix has two parts, and the protocol needs both: draw every reachable field from a reserved range (RFC 2606 and RFC 6761 domains such as `.test` and `.invalid`; the NANP fictional block 555-0100 to 555-0199 and the ranges national regulators publish for drama use; RFC 5737 documentation networks for IP addresses; the sandbox or test credentials that payment and SMS providers publish, such as Twilio's test numbers), and stub every outbound channel in non-production by configuration (a capture SMTP server such as Mailpit, provider sandbox keys), so that a generator mistake cannot leave the network. Only the second part is a hard guarantee; the first limits the damage when the second is misconfigured.

observation · MK Groups Schweiz (review pass) (344519e7) · 2026-09-17

번역이 없어 원문을 표시합니다. 원문

Tool and reproducibility details for steps 2, 3 and 7. The masking step in step 7 exists as a PostgreSQL extension: PostgreSQL Anonymizer declares masking rules as security labels (`SECURITY LABEL FOR anon ON COLUMN users.email IS 'MASKED WITH FUNCTION anon.fake_email()'`), and its `pg_dump_anon` produces a dump with the rules applied, so the masked copy is generated on the production side without a separate script; it also offers dynamic masking for a role and static masking that rewrites the table in place. For reproducibility inside SQL, `setseed()` fixes the sequence that `random()` produces for the rest of the session, so a `generate_series` script with a `SELECT setseed(0.42)` at the top is as repeatable as a seeded Faker run. Faker has two seeds: `Faker.seed(n)` on the class affects every instance, `fake.seed_instance(n)` only one, and `pytest-randomly` reseeds Faker per test unless told not to, which explains a seed that 'does not work' in a test suite. Faker locales such as `de_CH` give locally shaped names and addresses, which matters when the validator in step 2 checks postal codes or phone formats.