Brings module.yaml in line with F∆I 0.12.0's capability naming
convention. The legacy schema_version 1 (with implicit provider)
still loads in 0.12.0 via the grace-period default, but this
bump makes the publisher identity explicit and unblocks
storage-layout migration via 'fai migrate'.
See fai/platform docs/reference/capability-namespaces.yaml +
docs/operations/migration-to-0.12.md.
Signed-off-by: flemming-it <sf@flemming.it>
First release. Pure-Rust, in-WASM, regex-only, declares no
permissions. Suitable as a first redaction pass after
text.extract before any cloud-LLM step.
Detection categories:
EMAIL RFC-5321-ish local@domain, IDN-aware.
PHONE International (+CC …) and DE national
(030 …, 0151-…) shapes, 7..20 raw digits.
IBAN Word-bounded [A-Z]{2}\d{2}[A-Z0-9]{11,30}.
Structural only — MOD-97 checksum
deliberately skipped so partial / truncated
tokens in running text still get redacted.
BIC 8 or 11 uppercase alnum.
IPV4 Four 0..255 octets, dot-separated.
GERMAN_TAX_ID 11 consecutive digits, word-bounded.
CUSTOM Operator-supplied bare terms from the
newline-separated `custom_terms` input,
matched whole-word case-insensitive.
Token shape: ⟦TYPE_N⟧ — U+27E6 / U+27E7 mathematical white
square brackets. Distinct from any plain ASCII `[…]` already
present in source text (Markdown links, legal citations,
code blocks) so a reviewer never has to guess which `[…]`
is a redaction.
Outputs:
anonymized text Input with PII replaced by ⟦TYPE_N⟧.
Counter restarts at 1 per type so the
tokens stay operator-readable.
report json { redactions: [{type, token, original,
offset}…], counts: { TYPE: n, … } }.
Full original-text reconstruction is
possible from this — the GDPR
Art. 32(1)(a) "ability to undo"
requirement.
Quality bar (7 unit tests):
* email round-trip
* IBAN + BIC don't eat each other
* three phone-number shapes redact
* IPv4 only matches valid 0..255 octets
* custom_terms case-insensitive
* no double-redaction on overlapping patterns
* per-category counter resets correctly
Built artefact: target/wasm32-wasip2/release/text_anonymize.wasm
(~180 KiB stripped).
NER for free-text names / organisations / locations is the
v0.2.0 plan once a benchmarked ONNX model is selected; the
operator's `custom_terms` field is the v0.1.0 escape hatch.
Signed-off-by: flemming-it <sf@flemming.it>