commit f09b917f1a0e0ccf8c81057fc8c24326b04acb43 Author: Mobiletic Date: Sat Jun 20 21:58:38 2026 +0100 feat: initial release of @mobiletic/anonymizer Framework-agnostic PII anonymization extracted from Mobiletic's chatbot. Pluggable LLM detection + configurable regex fallback, deterministic coreference, and streaming-safe de-anonymization. Co-Authored-By: Claude Opus 4.8 (1M context) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..f9170b3 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,24 @@ +name: CI + +on: + push: + branches: [main] + pull_request: + branches: [main] + +jobs: + test: + runs-on: ubuntu-latest + strategy: + matrix: + node-version: [18, 20, 22] + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: ${{ matrix.node-version }} + cache: npm + - run: npm ci + - run: npm run typecheck + - run: npm test + - run: npm run build diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml new file mode 100644 index 0000000..017571d --- /dev/null +++ b/.github/workflows/release.yml @@ -0,0 +1,28 @@ +name: Release + +on: + push: + tags: + - 'v*' + +permissions: + contents: read + id-token: write # required for npm provenance + +jobs: + publish: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 + with: + node-version: 20 + registry-url: https://registry.npmjs.org + cache: npm + - run: npm ci + - run: npm run typecheck + - run: npm test + - run: npm run build + - run: npm publish --provenance --access public + env: + NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }} diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..c03a5b1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,7 @@ +node_modules/ +dist/ +coverage/ +*.log +.DS_Store +.env +.env.* diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..771ddcd --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,17 @@ +# Changelog + +All notable changes to this project are documented here. The format is based on +[Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project adheres to +[Semantic Versioning](https://semver.org/spec/v2.0.0.html). + +## [0.1.0] - Unreleased + +### Added + +- Initial public release, extracted from Mobiletic's production Swiss-nLPD chatbot. +- `Anonymizer` — pre-filter → LLM → regex fallback, bidirectional validation, deterministic coreference, + and de-collision across question and retrieved chunks (`anonymize`, `anonymizeChunks`, `deanonymize`). +- `makeStreamDeanonymizer` — streaming-safe de-anonymization that never leaks a split placeholder. +- `openAICompatibleProvider` — pluggable LLM detection over any OpenAI-compatible Chat Completions API. +- `presets.swiss` and `presets.generic` regex pattern sets; fully configurable custom patterns. +- Regex-only mode (no LLM provider required). diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 0000000..2f6f481 --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,31 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our community a harassment-free +experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex +characteristics, gender identity and expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, religion, or sexual identity and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and +healthy community. + +## Our Standards + +Examples of behavior that contributes to a positive environment include demonstrating empathy and +kindness, being respectful of differing opinions, giving and gracefully accepting constructive feedback, +and focusing on what is best for the community. + +Unacceptable behavior includes the use of sexualized language or imagery, trolling or insulting comments, +public or private harassment, publishing others' private information without permission, and other conduct +which could reasonably be considered inappropriate in a professional setting. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the project team at +`conduct@mobiletic.com`. All complaints will be reviewed and investigated promptly and fairly. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org), +version 2.1. diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000..b129f75 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,37 @@ +# Contributing to @mobiletic/anonymizer + +Thanks for your interest in improving this project! Contributions of all kinds are welcome — bug reports, +new pattern presets, additional LLM providers, docs, and tests. + +## Getting started + +```bash +git clone https://github.com/mobiletic/anonymizer.git +cd anonymizer +npm install +npm test # run the test suite (vitest) +npm run typecheck # tsc --noEmit +npm run build # tsup → dist/ (ESM + CJS + types) +``` + +## Guidelines + +- **Tests first.** Every behavior change needs a test. The anonymization core is privacy-critical — we + keep coverage tight, especially around coreference, de-collision, and streaming. +- **No runtime dependencies.** The core must stay dependency-free. New providers should rely only on + platform APIs (e.g. `fetch`). +- **Keep it framework-agnostic.** No framework-specific code (NestJS, Express, React, …) in the package. +- **Patterns use the global flag.** Any `PatternDef.re` must be a global (`/…/g`) regex. +- **Conventional commits** are appreciated (`feat:`, `fix:`, `docs:`, `test:`, `chore:`). + +## Reporting security issues + +Please do **not** open public issues for vulnerabilities (e.g. a PII-leak path). Email +`security@mobiletic.com` instead. + +## Pull requests + +1. Fork and branch from `main`. +2. Add tests and update docs. +3. Ensure `npm test`, `npm run typecheck`, and `npm run build` pass. +4. Open the PR with a clear description of the change and its motivation. diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..646fdc6 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2026 Mobiletic + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..5c6c1dd --- /dev/null +++ b/README.md @@ -0,0 +1,146 @@ +# @mobiletic/anonymizer + +Framework-agnostic **PII anonymization & pseudonymization** for TypeScript/JavaScript. + +It replaces personal data in text with stable placeholders before the text leaves your trust boundary +(e.g. before sending it to a third-party LLM, log sink, or analytics pipeline), and restores the real +values afterwards — including across **streamed** tokens. + +- 🔌 **Pluggable LLM detection** — catch free-form PII (names, addresses) via any OpenAI-compatible + endpoint, or your own provider. No LLM? It degrades gracefully to regex. +- 🧩 **Deterministic regex fallback** — structured identifiers (email, phone, IBAN, …) via configurable + pattern presets (`swiss`, `generic`) or your own. +- 🔁 **Deterministic coreference** — the same person keeps the same id (`[PER_1]`) across a question and + every retrieved chunk, with automatic de-collision. +- 🌊 **Streaming-safe** — a placeholder split across two stream chunks (`[PER_` + `1.NOM:M]`) is never + leaked partially. +- 🪶 **Zero runtime dependencies**, ESM + CJS, fully typed. + +> Built by [Mobiletic](https://mobiletic.com) and extracted from a production Swiss-nLPD chatbot. + +## Install + +```bash +npm install @mobiletic/anonymizer +``` + +Requires Node ≥ 18 (uses native `fetch`). + +## Quick start + +### Regex-only (no LLM, fully deterministic) + +```ts +import { Anonymizer, presets } from '@mobiletic/anonymizer'; + +const anonymizer = new Anonymizer({ patterns: presets.swiss }); + +const { anon, mapping } = await anonymizer.anonymize('Écris à jean@exemple.ch'); +// anon -> "Écris à [EMAIL_1]" +// mapping -> { "[EMAIL_1]": "jean@exemple.ch" } + +anonymizer.deanonymize(anon, mapping); // -> "Écris à jean@exemple.ch" +``` + +### With an LLM (also catches names, addresses…) + +```ts +import { Anonymizer, openAICompatibleProvider, presets } from '@mobiletic/anonymizer'; + +const anonymizer = new Anonymizer({ + llm: openAICompatibleProvider({ + baseUrl: process.env.LLM_BASE_URL!, // OpenAI, Infomaniak, vLLM, Ollama, … + apiKey: process.env.LLM_API_KEY!, + model: process.env.LLM_MODEL!, + timeoutMs: 3000, + }), + patterns: presets.swiss, // regex fallback if the LLM is down/misbehaves +}); + +const { anon, mapping } = await anonymizer.anonymize('Le dossier de Alain Jaccard est complet.'); +// anon -> "Le dossier de [PER_1.NOM:M] est complet." +``` + +If the LLM call fails, times out, or returns an invalid shape, the anonymizer automatically falls back to +the regex engine — it never throws on a provider failure. + +### Streaming de-anonymization + +When you stream an LLM answer back to a user, restore real values without ever emitting a half-written +placeholder: + +```ts +const stream = anonymizer.makeStreamDeanonymizer(mapping); +for await (const token of llmTokens) process.stdout.write(stream.push(token)); +process.stdout.write(stream.flush()); +``` + +### Anonymizing retrieved chunks consistently (RAG) + +`anonymizeChunks(chunks, seed)` reuses the question's mapping (`seed`) so the same person gets the same id +across the question and every chunk, batches the LLM call, and de-collides genuinely new entities: + +```ts +const q = await anonymizer.anonymize(question); +const { anon, mapping } = await anonymizer.anonymizeChunks(retrievedChunks, q.mapping); +// `mapping` is the full question ∪ chunks table; pass it to deanonymize()/makeStreamDeanonymizer(). +``` + +## Configuration + +```ts +new Anonymizer({ + llm?, // LlmProvider — omit for regex-only mode + patterns?, // PatternDef[] — defaults to presets.swiss + nameHint?, // RegExp flagging likely names so the LLM is consulted (has a default) + logger?, // { warn(msg) } — receives fallback warnings; defaults to no-op +}); +``` + +### Presets & custom patterns + +```ts +import { presets } from '@mobiletic/anonymizer'; + +presets.swiss; // AVS, IBAN CH, EMAIL, Swiss phone, DATE +presets.generic; // EMAIL, IBAN, credit card, IPv4, phone, DATE + +// Compose / extend: +const patterns = [ + ...presets.generic, + { tag: 'TICKET', re: /\bJIRA-\d+\b/g }, // patterns must use the global flag +]; +``` + +### Custom LLM provider + +Implement `LlmProvider` to use any backend (Anthropic, a local model, a rules engine…): + +```ts +import type { LlmProvider } from '@mobiletic/anonymizer'; + +const myProvider: LlmProvider = { + isConfigured: () => true, + async anonymize(text) { /* return { anon, mapping } */ }, + async anonymizeBatch(texts, usedIds) { /* return { segments, mapping } */ }, +}; +``` + +## Placeholder format + +``` +[PER_1.NOM:M] entity PER #1, attribute NOM, context M (rich, from the LLM) +[EMAIL_1] structured id from the regex fallback +``` + +`PLACEHOLDER_RE` is exported if you need to scan text for placeholders. + +## Compliance note + +This library is a **best-effort** pseudonymization aid, not a guarantee of legal compliance. LLM and regex +detection can miss or mis-classify data. Validate against your own requirements (nLPD, GDPR, HIPAA, …) +before relying on it for regulated data. + +## License + +[MIT](./LICENSE) © Mobiletic diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..9805496 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,2791 @@ +{ + "name": "@mobiletic/anonymizer", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "@mobiletic/anonymizer", + "version": "0.1.0", + "license": "MIT", + "devDependencies": { + "tsup": "^8.0.0", + "typescript": "^5.4.0", + "vitest": "^1.6.0" + }, + "engines": { + "node": ">=18" + } + }, + "node_modules/@esbuild/aix-ppc64": { + "version": "0.27.7", + "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.27.7.tgz", + "integrity": "sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg==", + "cpu": [ + "ppc64" + ], + "dev": true, + "license": "MIT", + "optional": true, + "os": [ + 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"data-protection" + ], + "type": "module", + "main": "./dist/index.cjs", + "module": "./dist/index.js", + "types": "./dist/index.d.ts", + "exports": { + ".": { + "types": "./dist/index.d.ts", + "import": "./dist/index.js", + "require": "./dist/index.cjs" + } + }, + "files": [ + "dist", + "README.md", + "LICENSE" + ], + "engines": { + "node": ">=18" + }, + "scripts": { + "build": "tsup", + "test": "vitest run", + "test:watch": "vitest", + "typecheck": "tsc --noEmit", + "prepublishOnly": "npm run build" + }, + "devDependencies": { + "tsup": "^8.0.0", + "typescript": "^5.4.0", + "vitest": "^1.6.0" + }, + "publishConfig": { + "access": "public", + "provenance": true + }, + "sideEffects": false +} diff --git a/src/anonymizer.ts b/src/anonymizer.ts new file mode 100644 index 0000000..c6527ad --- /dev/null +++ b/src/anonymizer.ts @@ -0,0 +1,244 @@ +import { RegexFallback } from './fallback.js'; +import { presets } from './presets.js'; +import { + type AnonymizationResult, + type AnonymizerConfig, + type LlmProvider, + type Logger, + type StreamDeanonymizer, + PLACEHOLDER_RE, +} from './types.js'; + +const NOOP_LOGGER: Logger = { warn: () => {} }; + +// Likely proper-name heuristic (two capitalized words), in addition to the structured fallback. +const DEFAULT_NAME_HINT = /\b[A-ZÀ-Ý][a-zà-ÿ]+\s+[A-ZÀ-Ý][a-zà-ÿ]+\b/; + +/** + * Framework-agnostic anonymization engine. + * + * `anonymize()`: pre-filter (skips the LLM when there is no PII) → LLM → + * regex fallback on failure/timeout → bidirectional validation. + * `deanonymize()` restores the real values. `makeStreamDeanonymizer()` handles + * the critical case of a placeholder fragmented across several streamed tokens. + * + * Pass an {@link LlmProvider} to detect free-form PII (names, addresses); + * omit it for deterministic regex-only mode. + */ +export class Anonymizer { + private readonly llm?: LlmProvider; + private readonly fallback: RegexFallback; + private readonly nameHint: RegExp; + private readonly logger: Logger; + + constructor(config: AnonymizerConfig = {}) { + this.llm = config.llm; + this.fallback = new RegexFallback(config.patterns ?? presets.swiss); + this.nameHint = config.nameHint ?? DEFAULT_NAME_HINT; + this.logger = config.logger ?? NOOP_LOGGER; + } + + private hasLlm(): boolean { + return !!this.llm && this.llm.isConfigured(); + } + + private likelyHasPii(text: string): boolean { + return this.fallback.hasPii(text) || this.nameHint.test(text); + } + + async anonymize(text: string): Promise { + // Pre-filter: most text has no PII → avoid the LLM round-trip (latency + cost) + // and return the text unchanged. + if (!this.likelyHasPii(text)) return { anon: text, mapping: {} }; + + if (this.hasLlm()) { + try { + const result = await this.llm!.anonymize(text); + this.validate(result); // throws if inconsistent → fall back + return result; + } catch (err) { + this.logger.warn(`LLM unavailable/invalid → regex fallback: ${(err as Error).message}`); + } + } + return this.fallback.anonymize(text); + } + + /** + * Anonymize retrieved chunks BEFORE sending them on, CONSISTENTLY with the + * question's mapping (`seed`). Returns the anonymized chunks + the COMPLETE + * mapping (question ∪ chunks). Strategy: + * 1. Deterministic reuse: replace any already-known value (from the question) + * by its placeholder → question↔chunk coreference with no LLM call. + * 2. Pre-filter: if no residual PII remains → return as-is (most corpus chunks + * have no PII → LLM cost avoided). + * 3. Otherwise: ONE batched LLM call, then de-collision merge (renumber the + * genuinely new entities). Failure/timeout → regex fallback per chunk. + */ + async anonymizeChunks( + chunks: string[], + seed: Record, + ): Promise<{ anon: string[]; mapping: Record }> { + if (!chunks.length) return { anon: [], mapping: { ...seed } }; + + const seeded = chunks.map((c) => this.applyKnown(c, seed)); + if (!seeded.some((c) => this.likelyHasPii(c))) return { anon: seeded, mapping: { ...seed } }; + + if (this.hasLlm()) { + try { + const { segments, mapping: gMap } = await this.llm!.anonymizeBatch(seeded, Object.keys(seed)); + if (segments.length !== seeded.length) throw new Error('SEGMENT_COUNT_MISMATCH'); + const { mapping, rename } = this.mergeMappings(seed, gMap); + const anon = segments.map((s) => this.applyRename(s, rename)); + // Anti-leak: every placeholder present in a chunk must be mapped. + for (const s of anon) { + for (const ph of s.match(PLACEHOLDER_RE) ?? []) { + if (!(ph in mapping)) throw new Error(`unmapped placeholder ${ph}`); + } + } + return { anon, mapping }; + } catch (err) { + this.logger.warn(`Chunk anonymization → regex fallback: ${(err as Error).message}`); + } + } + return this.fallbackChunks(seeded, seed); + } + + /** Replace known values (seed) by their placeholder, longest values first. */ + private applyKnown(text: string, seed: Record): string { + let out = text; + for (const [ph, val] of Object.entries(seed) + .filter(([, v]) => v) + .sort((a, b) => b[1].length - a[1].length)) { + out = out.split(val).join(ph); + } + return out; + } + + private applyRename(text: string, rename: Record): string { + let out = text; + for (const [from, to] of Object.entries(rename)) out = out.split(from).join(to); + return out; + } + + /** `[PER_1.NOM:M]` → { type:'PER', index:1, suffix:'.NOM:M' } ; `[EMAIL_2]` → suffix ''. */ + private parsePlaceholder(ph: string): { type: string; index: number; suffix: string } | null { + const m = /^\[([A-Z]+)_(\d+)(\..*)?\]$/.exec(ph); + return m ? { type: m[1], index: Number(m[2]), suffix: m[3] ?? '' } : null; + } + + /** + * Merge the chunks' LLM mapping into the question's (seed). + * - value already known → reuse the question's placeholder (rename). + * - new value without collision → added as-is. + * - collision (same placeholder, different value) → renumbered (next index). + */ + private mergeMappings( + seed: Record, + gMap: Record, + ): { mapping: Record; rename: Record } { + const mapping: Record = { ...seed }; + const valueToPh = new Map(); + const maxIdx = new Map(); + for (const [ph, val] of Object.entries(seed)) { + valueToPh.set(val, ph); + const p = this.parsePlaceholder(ph); + if (p) maxIdx.set(p.type, Math.max(maxIdx.get(p.type) ?? 0, p.index)); + } + + const rename: Record = {}; + for (const [gph, val] of Object.entries(gMap)) { + const known = valueToPh.get(val); + if (known) { + if (known !== gph) rename[gph] = known; // same entity as the question + continue; + } + if (!(gph in mapping)) { + mapping[gph] = val; + valueToPh.set(val, gph); + const p = this.parsePlaceholder(gph); + if (p) maxIdx.set(p.type, Math.max(maxIdx.get(p.type) ?? 0, p.index)); + } else { + // collision: placeholder reused for ANOTHER value → renumber. + const p = this.parsePlaceholder(gph); + const type = p?.type ?? 'PER'; + const next = (maxIdx.get(type) ?? 0) + 1; + maxIdx.set(type, next); + const newPh = `[${type}_${next}${p?.suffix ?? ''}]`; + rename[gph] = newPh; + mapping[newPh] = val; + valueToPh.set(val, newPh); + } + } + return { mapping, rename }; + } + + /** Fallback (no LLM): regex per chunk, de-collision merged into the seed. */ + private fallbackChunks( + seeded: string[], + seed: Record, + ): { anon: string[]; mapping: Record } { + let mapping: Record = { ...seed }; + const anon: string[] = []; + for (const c of seeded) { + const r = this.fallback.anonymize(c); + const { mapping: merged, rename } = this.mergeMappings(mapping, r.mapping); + mapping = merged; + anon.push(this.applyRename(r.anon, rename)); + } + return { anon, mapping }; + } + + /** Every placeholder in the text must be in the mapping AND vice-versa (anti-leak). */ + private validate(result: AnonymizationResult): void { + const inText = new Set(result.anon.match(PLACEHOLDER_RE) ?? []); + for (const ph of inText) { + if (!(ph in result.mapping)) throw new Error(`placeholder ${ph} without mapping`); + } + for (const ph of Object.keys(result.mapping)) { + if (!inText.has(ph)) throw new Error(`orphan mapping ${ph}`); + } + } + + /** Restore the real values (replace every known placeholder). */ + deanonymize(text: string, mapping: Record): string { + if (!text) return text; + let out = text; + for (const [ph, value] of Object.entries(mapping)) { + out = out.split(ph).join(value); + } + return out; + } + + /** + * Streaming de-anonymizer. Buffers any unterminated `[...]` fragment until it + * completes, so a partial placeholder is never emitted and never leaks. + */ + makeStreamDeanonymizer(mapping: Record): StreamDeanonymizer { + let buf = ''; + const deanon = (s: string) => this.deanonymize(s, mapping); + return { + push: (chunk: string): string => { + buf += chunk; + const lastOpen = buf.lastIndexOf('['); + let emit: string; + if (lastOpen === -1) { + emit = buf; + buf = ''; + } else if (buf.indexOf(']', lastOpen) === -1) { + // '[' opened without ']' → placeholder possibly cut: hold from there. + emit = buf.slice(0, lastOpen); + buf = buf.slice(lastOpen); + } else { + emit = buf; + buf = ''; + } + return deanon(emit); + }, + flush: (): string => { + const out = deanon(buf); + buf = ''; + return out; + }, + }; + } +} diff --git a/src/fallback.ts b/src/fallback.ts new file mode 100644 index 0000000..7319db3 --- /dev/null +++ b/src/fallback.ts @@ -0,0 +1,40 @@ +import type { AnonymizationResult, PatternDef } from './types.js'; + +/** + * Regex-based anonymizer for STRUCTURED identifiers (email, phone, IBAN, …). + * It is the deterministic fallback used when no LLM provider is available or a + * provider call fails. It does NOT detect proper names — that is the LLM's job. + * + * Patterns are injected (see {@link presets}) so the same engine serves any + * locale or regulation. + */ +export class RegexFallback { + constructor(private readonly patterns: PatternDef[]) {} + + anonymize(text: string): AnonymizationResult { + const mapping: Record = {}; + const counters: Record = {}; + let anon = text; + + for (const { tag, re } of this.patterns) { + anon = anon.replace(re, (match) => { + // Reuse the same placeholder for an identical value (consistency). + const existing = Object.entries(mapping).find(([, v]) => v === match); + if (existing) return existing[0]; + counters[tag] = (counters[tag] ?? 0) + 1; + const ph = `[${tag}_${counters[tag]}]`; + mapping[ph] = match; + return ph; + }); + } + return { anon, mapping }; + } + + /** Fast pre-check: is there any structured identifier worth anonymizing? */ + hasPii(text: string): boolean { + return this.patterns.some(({ re }) => { + re.lastIndex = 0; + return re.test(text); + }); + } +} diff --git a/src/index.ts b/src/index.ts new file mode 100644 index 0000000..add8de8 --- /dev/null +++ b/src/index.ts @@ -0,0 +1,17 @@ +export { Anonymizer } from './anonymizer.js'; +export { RegexFallback } from './fallback.js'; +export { presets } from './presets.js'; +export { + openAICompatibleProvider, + DEFAULT_SYSTEM_PROMPT, + type OpenAICompatibleOptions, +} from './providers/openai-compatible.js'; +export { + PLACEHOLDER_RE, + type AnonymizationResult, + type AnonymizerConfig, + type LlmProvider, + type PatternDef, + type Logger, + type StreamDeanonymizer, +} from './types.js'; diff --git a/src/presets.ts b/src/presets.ts new file mode 100644 index 0000000..aed64d3 --- /dev/null +++ b/src/presets.ts @@ -0,0 +1,29 @@ +import type { PatternDef } from './types.js'; + +/** + * Swiss preset — the structured identifiers most relevant to the Swiss nLPD. + * Order matters: specific patterns (AVS, IBAN) come before generic ones. + */ +const swiss: PatternDef[] = [ + { tag: 'AVS', re: /\b756\.\d{4}\.\d{4}\.\d{2}\b/g }, // Swiss social security (AVS/AHV) + { tag: 'IBAN', re: /\bCH\d{2}[0-9A-Z]{17}\b/gi }, // Swiss IBAN + { tag: 'EMAIL', re: /\b[\w.+-]+@[\w-]+\.[\w.-]+\b/g }, + { tag: 'TEL', re: /(?:\+41|0)(?:[\s.-]?\d){9}\b/g }, // Swiss phone number + { tag: 'DATE', re: /\b\d{1,2}[./-]\d{1,2}[./-]\d{2,4}\b/g }, +]; + +/** + * Generic preset — locale-agnostic identifiers useful as a starting point + * anywhere. Extend or compose with your own {@link PatternDef}s as needed. + */ +const generic: PatternDef[] = [ + { tag: 'EMAIL', re: /\b[\w.+-]+@[\w-]+\.[\w.-]+\b/g }, + { tag: 'IBAN', re: /\b[A-Z]{2}\d{2}[0-9A-Z]{11,30}\b/g }, + { tag: 'CREDIT_CARD', re: /\b(?:\d[ -]?){13,16}\b/g }, + { tag: 'IPV4', re: /\b(?:\d{1,3}\.){3}\d{1,3}\b/g }, + { tag: 'TEL', re: /\b(?:\+?\d{1,3}[\s.-]?)?(?:\(?\d{2,4}\)?[\s.-]?){2,4}\d{2,4}\b/g }, + { tag: 'DATE', re: /\b\d{1,2}[./-]\d{1,2}[./-]\d{2,4}\b/g }, +]; + +/** Built-in pattern sets for the regex fallback. */ +export const presets = { swiss, generic }; diff --git a/src/providers/openai-compatible.ts b/src/providers/openai-compatible.ts new file mode 100644 index 0000000..efac344 --- /dev/null +++ b/src/providers/openai-compatible.ts @@ -0,0 +1,117 @@ +import type { AnonymizationResult, LlmProvider } from '../types.js'; + +/** Default nLPD pseudonymization prompt (French). Override for other locales/regulations. */ +export const DEFAULT_SYSTEM_PROMPT = [ + 'Tu es un moteur de pseudonymisation conforme à la nLPD suisse.', + 'Identifie UNIQUEMENT les données personnelles (identifiants directs et indirects)', + 'et remplace-les par des placeholders. Ne touche à RIEN d’autre.', + '', + 'FORMAT: [ENTITE_ID.ATTRIBUT:CONTEXTE]', + 'Entités: PER (personne), ORG (organisation), LOC (lieu autonome).', + 'Attributs PER: NOM, PRENOM, DATE_NAISSANCE, AGE, ADRESSE, EMAIL, TELEPHONE, AVS, IBAN, NSS.', + 'Contexte = indice non-identifiant utile au raisonnement:', + ' NOM:M|F|U · DATE_NAISSANCE: · AGE:Mineur|Adulte', + ' ADRESSE:Lieu|Rue|Ville|NPA|Pays · ORG:Entreprise|Ecole', + '', + 'RÈGLES:', + '1. Coréférence: la MÊME personne garde le MÊME identifiant (PER_1) dans tout le texte.', + '2. N’anonymise JAMAIS les termes pédagogiques/techniques (langages, concepts, titres de cours, fonctions).', + '3. Si AUCUNE donnée personnelle: renvoie le texte original et "mapping": {}.', + '4. N’anonymise pas un placeholder déjà présent (idempotence).', + '5. Sortie STRICTEMENT JSON valide: {"texte_anonymise": "...", "mapping": {"[PER_1.NOM:M]": "..."}}.', +].join('\n'); + +export interface OpenAICompatibleOptions { + /** Base URL of an OpenAI-compatible API, e.g. `https://api.openai.com/v1`. */ + baseUrl: string; + /** Bearer API key. */ + apiKey: string; + /** Model id, e.g. `gpt-4o-mini` or `gemma-3-...`. */ + model: string; + /** Per-request timeout in milliseconds (default 3000). */ + timeoutMs?: number; + /** Override the system prompt (e.g. for another language or regulation). */ + systemPrompt?: string; + /** Extra instructions appended to the system prompt in batch mode. */ + batchInstructions?: (usedIds: string[]) => string; +} + +const DEFAULT_BATCH_INSTRUCTIONS = (usedIds: string[]): string => + '\n\nMODE LOT (segments) :' + + '\n- ENTRÉE : un objet JSON {"segments": ["…", "…"]}.' + + '\n- Anonymise CHAQUE segment ; coréférence GLOBALE entre segments.' + + (usedIds.length + ? `\n- Identifiants DÉJÀ attribués (réutilise-les pour les mêmes valeurs, n'en duplique AUCUN pour d'autres valeurs) : ${usedIds.join(', ')}.` + : '') + + '\n- SORTIE STRICTEMENT JSON : {"segments": ["…anonymisé…"], "mapping": {"[PER_1.NOM:M]": "…"}}.' + + '\n- "segments" DOIT avoir la même longueur et le même ordre que l’entrée ; "mapping" ne contient que les NOUVELLES entités.'; + +/** + * Build an {@link LlmProvider} backed by any OpenAI-compatible Chat Completions + * endpoint (OpenAI, Infomaniak, vLLM, Ollama, …). Uses `temperature: 0` and + * `response_format: json_object` for deterministic, parseable output, and throws + * on any failure so the {@link Anonymizer} falls back to its regex engine. + */ +export function openAICompatibleProvider(opts: OpenAICompatibleOptions): LlmProvider { + const timeout = opts.timeoutMs ?? 3000; + const systemPrompt = opts.systemPrompt ?? DEFAULT_SYSTEM_PROMPT; + const batchInstructions = opts.batchInstructions ?? DEFAULT_BATCH_INSTRUCTIONS; + + const isConfigured = (): boolean => !!(opts.baseUrl && opts.apiKey && opts.model); + + async function chat(system: string, user: string): Promise { + if (!isConfigured()) throw new Error('LLM_NOT_CONFIGURED'); + const controller = new AbortController(); + const timer = setTimeout(() => controller.abort(), timeout); + try { + const res = await fetch(`${opts.baseUrl}/chat/completions`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${opts.apiKey}`, + }, + body: JSON.stringify({ + model: opts.model, + temperature: 0, + response_format: { type: 'json_object' }, + messages: [ + { role: 'system', content: system }, + { role: 'user', content: user }, + ], + }), + signal: controller.signal, + }); + if (!res.ok) throw new Error(`LLM_HTTP_${res.status}`); + const data = (await res.json()) as { choices?: Array<{ message?: { content?: string } }> }; + return data?.choices?.[0]?.message?.content ?? ''; + } finally { + clearTimeout(timer); + } + } + + return { + isConfigured, + + async anonymize(text: string): Promise { + const content = await chat(systemPrompt, text); + const parsed = JSON.parse(content) as { texte_anonymise?: string; mapping?: Record }; + if (typeof parsed.texte_anonymise !== 'string' || typeof parsed.mapping !== 'object' || !parsed.mapping) { + throw new Error('LLM_BAD_SHAPE'); + } + return { anon: parsed.texte_anonymise, mapping: parsed.mapping }; + }, + + async anonymizeBatch( + texts: string[], + usedIds: string[], + ): Promise<{ segments: string[]; mapping: Record }> { + const system = systemPrompt + batchInstructions(usedIds); + const content = await chat(system, JSON.stringify({ segments: texts })); + const parsed = JSON.parse(content) as { segments?: string[]; mapping?: Record }; + if (!Array.isArray(parsed.segments) || typeof parsed.mapping !== 'object' || !parsed.mapping) { + throw new Error('LLM_BATCH_BAD_SHAPE'); + } + return { segments: parsed.segments, mapping: parsed.mapping }; + }, + }; +} diff --git a/src/types.ts b/src/types.ts new file mode 100644 index 0000000..b0fefc3 --- /dev/null +++ b/src/types.ts @@ -0,0 +1,67 @@ +/** Result of an anonymization: text with placeholders + the reverse-mapping table. */ +export interface AnonymizationResult { + /** The text with every detected PII value replaced by a placeholder. */ + anon: string; + /** Placeholder → original value, e.g. `{ "[PER_1.NOM:M]": "Alain JACCARD" }`. */ + mapping: Record; +} + +/** + * Matches a single placeholder. Covers the rich LLM form `[PER_1.NOM:M]` + * and the plain regex-fallback form `[EMAIL_1]`. + */ +export const PLACEHOLDER_RE = /\[[A-Z]+_\d+(?:\.[A-Z_]+:[^\]]+)?\]/g; + +/** + * Pluggable LLM backend. Implement this (or use {@link openAICompatibleProvider}) + * to let the {@link Anonymizer} detect free-form PII such as proper names that + * regular expressions cannot reliably catch. + */ +export interface LlmProvider { + /** Whether the provider is ready to be called. When `false`, the Anonymizer skips it. */ + isConfigured(): boolean; + /** Anonymize a single piece of text. */ + anonymize(text: string): Promise; + /** + * Anonymize several segments in ONE call with GLOBAL coreference (same entity → + * same id across segments) and reuse of the ids already assigned upstream + * (`usedIds`). Returns the anonymized segments (same order/length) plus the + * mapping of the NEW entities only. + */ + anonymizeBatch( + texts: string[], + usedIds: string[], + ): Promise<{ segments: string[]; mapping: Record }>; +} + +/** A structured-PII detector: a tag (e.g. `EMAIL`) and the global regex that finds it. */ +export interface PatternDef { + tag: string; + re: RegExp; +} + +/** Minimal logger sink. Defaults to a no-op; pass your own to capture fallback warnings. */ +export interface Logger { + warn(msg: string): void; +} + +/** Configuration for {@link Anonymizer}. */ +export interface AnonymizerConfig { + /** LLM backend for free-form PII (names, addresses…). Omit for regex-only mode. */ + llm?: LlmProvider; + /** Structured-PII patterns for the regex fallback. Defaults to {@link presets.swiss}. */ + patterns?: PatternDef[]; + /** Heuristic that flags likely proper names so the LLM is consulted. Has a sensible default. */ + nameHint?: RegExp; + /** Where fallback/diagnostic warnings go. Defaults to a no-op. */ + logger?: Logger; +} + +/** + * Streaming de-anonymizer: buffers placeholders that get split across token + * boundaries so a partial `[PER_` is never emitted (and never leaks). + */ +export interface StreamDeanonymizer { + push(chunk: string): string; + flush(): string; +} diff --git a/test/anonymizer.test.ts b/test/anonymizer.test.ts new file mode 100644 index 0000000..0e454de --- /dev/null +++ b/test/anonymizer.test.ts @@ -0,0 +1,124 @@ +import { describe, it, expect, vi } from 'vitest'; +import { Anonymizer, presets, type LlmProvider } from '../src/index.js'; + +/** An LLM provider that is configured but always fails → forces the regex fallback. */ +const failingLlm = (overrides: Partial = {}): LlmProvider => ({ + isConfigured: () => true, + anonymize: vi.fn().mockRejectedValue(new Error('LLM_NOT_CONFIGURED')), + anonymizeBatch: vi.fn().mockRejectedValue(new Error('LLM_NOT_CONFIGURED')), + ...overrides, +}); + +describe('Anonymizer (Swiss preset)', () => { + const svc = new Anonymizer({ llm: failingLlm(), patterns: presets.swiss }); + + it('skips anonymization (no LLM call) when there is no PII', async () => { + const llm = failingLlm(); + const s = new Anonymizer({ llm, patterns: presets.swiss }); + const r = await s.anonymize('Explique la différence entre INNER JOIN et LEFT JOIN'); + expect(r.mapping).toEqual({}); + expect(r.anon).toContain('INNER JOIN'); + expect(llm.anonymize).not.toHaveBeenCalled(); + }); + + it('falls back to regex for structured PII (email/phone/AVS)', async () => { + const r = await svc.anonymize('Contact: jean@exemple.ch, +41 79 123 45 67, AVS 756.1234.5678.90'); + expect(r.anon).not.toContain('jean@exemple.ch'); + expect(r.anon).not.toContain('756.1234.5678.90'); + expect(Object.values(r.mapping)).toContain('jean@exemple.ch'); + expect(svc.deanonymize(r.anon, r.mapping)).toContain('jean@exemple.ch'); + }); + + it('deanonymizes a placeholder split across stream tokens (critical)', () => { + const mapping = { '[PER_1.NOM:M]': 'Alain JACCARD' }; + const d = svc.makeStreamDeanonymizer(mapping); + let out = ''; + out += d.push('Bonjour [PER_'); + out += d.push('1.NOM'); + out += d.push(':M], ravi'); + out += d.flush(); + expect(out).toBe('Bonjour Alain JACCARD, ravi'); + expect(out).not.toContain('[PER_'); + }); + + it('streams plain text through unchanged', () => { + const d = svc.makeStreamDeanonymizer({}); + expect(d.push('Un INNER JOIN ') + d.push('retourne...') + d.flush()).toBe('Un INNER JOIN retourne...'); + }); + + describe('anonymizeChunks', () => { + it('PII-free chunks → no LLM call, returned as-is', async () => { + const llm = failingLlm(); + const s = new Anonymizer({ llm, patterns: presets.swiss }); + const r = await s.anonymizeChunks(['Un INNER JOIN combine deux tables.'], {}); + expect(llm.anonymizeBatch).not.toHaveBeenCalled(); + expect(r.anon[0]).toContain('INNER JOIN'); + expect(r.mapping).toEqual({}); + }); + + it('reuses the question placeholder for the same person (deterministic, no LLM)', async () => { + const llm = failingLlm(); + const s = new Anonymizer({ llm, patterns: presets.swiss }); + const seed = { '[PER_1.NOM:M]': 'Alain JACCARD' }; + const r = await s.anonymizeChunks(['Le dossier de Alain JACCARD est complet.'], seed); + expect(llm.anonymizeBatch).not.toHaveBeenCalled(); + expect(r.anon[0]).toContain('[PER_1.NOM:M]'); + expect(r.anon[0]).not.toContain('Alain JACCARD'); + expect(r.mapping).toEqual(seed); + }); + + it('renumbers a NEW person that collides with the question placeholder', async () => { + const anonymizeBatch = vi.fn().mockResolvedValue({ + segments: ['[PER_1.NOM:M] a signé.'], + mapping: { '[PER_1.NOM:M]': 'Bob Martin' }, + }); + const s = new Anonymizer({ llm: failingLlm({ anonymizeBatch }), patterns: presets.swiss }); + const seed = { '[PER_1.NOM:M]': 'Alain JACCARD' }; + const r = await s.anonymizeChunks(['Bob Martin a signé.'], seed); + expect(anonymizeBatch).toHaveBeenCalledTimes(1); + expect(r.anon[0]).toContain('[PER_2.NOM:M]'); + expect(r.mapping['[PER_1.NOM:M]']).toBe('Alain JACCARD'); + expect(r.mapping['[PER_2.NOM:M]']).toBe('Bob Martin'); + }); + + it('falls back to regex (structured ids) when the LLM is unavailable', async () => { + const s = new Anonymizer({ llm: failingLlm(), patterns: presets.swiss }); + const r = await s.anonymizeChunks(['Contact : jean@exemple.ch'], {}); + expect(r.anon[0]).not.toContain('jean@exemple.ch'); + expect(Object.values(r.mapping)).toContain('jean@exemple.ch'); + }); + }); + + describe('regex-only mode (no LLM provider)', () => { + const s = new Anonymizer({ patterns: presets.swiss }); + + it('still anonymizes structured PII without any provider', async () => { + const r = await s.anonymize('Écris à jean@exemple.ch'); + expect(r.anon).not.toContain('jean@exemple.ch'); + expect(Object.values(r.mapping)).toContain('jean@exemple.ch'); + }); + + it('leaves a bare proper name untouched (no LLM to catch it)', async () => { + const r = await s.anonymize('Alain Jaccard a réussi'); + // The name-hint flags it, but with no LLM the regex fallback finds no structured id. + expect(r.anon).toContain('Alain Jaccard'); + expect(r.mapping).toEqual({}); + }); + }); + + describe('configurable presets', () => { + it('generic preset anonymizes an IPv4 address', async () => { + const s = new Anonymizer({ patterns: presets.generic }); + const r = await s.anonymize('Serveur 192.168.1.42 indisponible'); + expect(r.anon).not.toContain('192.168.1.42'); + expect(Object.values(r.mapping)).toContain('192.168.1.42'); + }); + + it('accepts a fully custom pattern set', async () => { + const s = new Anonymizer({ patterns: [{ tag: 'TICKET', re: /\bJIRA-\d+\b/g }] }); + const r = await s.anonymize('Voir JIRA-123'); + expect(r.anon).toContain('[TICKET_1]'); + expect(r.mapping['[TICKET_1]']).toBe('JIRA-123'); + }); + }); +}); diff --git a/test/openai-compatible.test.ts b/test/openai-compatible.test.ts new file mode 100644 index 0000000..8043c09 --- /dev/null +++ b/test/openai-compatible.test.ts @@ -0,0 +1,58 @@ +import { describe, it, expect, vi, afterEach } from 'vitest'; +import { openAICompatibleProvider } from '../src/index.js'; + +const opts = { baseUrl: 'https://api.example.com/v1', apiKey: 'k', model: 'm' }; + +function mockFetchJson(content: unknown) { + return vi.fn().mockResolvedValue({ + ok: true, + json: async () => ({ choices: [{ message: { content: JSON.stringify(content) } }] }), + }); +} + +afterEach(() => { + vi.unstubAllGlobals(); +}); + +describe('openAICompatibleProvider', () => { + it('isConfigured() reflects whether baseUrl/apiKey/model are present', () => { + expect(openAICompatibleProvider(opts).isConfigured()).toBe(true); + expect(openAICompatibleProvider({ ...opts, apiKey: '' }).isConfigured()).toBe(false); + }); + + it('anonymize() parses {texte_anonymise, mapping} and posts temperature 0 + json_object', async () => { + const fetchMock = mockFetchJson({ texte_anonymise: '[EMAIL_1]', mapping: { '[EMAIL_1]': 'a@b.ch' } }); + vi.stubGlobal('fetch', fetchMock); + + const r = await openAICompatibleProvider(opts).anonymize('a@b.ch'); + expect(r).toEqual({ anon: '[EMAIL_1]', mapping: { '[EMAIL_1]': 'a@b.ch' } }); + + const [url, init] = fetchMock.mock.calls[0]; + expect(url).toBe('https://api.example.com/v1/chat/completions'); + const body = JSON.parse(init.body); + expect(body.temperature).toBe(0); + expect(body.response_format).toEqual({ type: 'json_object' }); + expect(init.headers.Authorization).toBe('Bearer k'); + }); + + it('anonymizeBatch() returns {segments, mapping} and includes used ids in the prompt', async () => { + const fetchMock = mockFetchJson({ segments: ['[PER_2.NOM:M]'], mapping: { '[PER_2.NOM:M]': 'Bob' } }); + vi.stubGlobal('fetch', fetchMock); + + const r = await openAICompatibleProvider(opts).anonymizeBatch(['Bob'], ['[PER_1.NOM:M]']); + expect(r.segments).toEqual(['[PER_2.NOM:M]']); + + const system = JSON.parse(fetchMock.mock.calls[0][1].body).messages[0].content; + expect(system).toContain('[PER_1.NOM:M]'); + }); + + it('throws on a non-OK HTTP status', async () => { + vi.stubGlobal('fetch', vi.fn().mockResolvedValue({ ok: false, status: 500 })); + await expect(openAICompatibleProvider(opts).anonymize('x')).rejects.toThrow('LLM_HTTP_500'); + }); + + it('throws on a malformed response shape', async () => { + vi.stubGlobal('fetch', mockFetchJson({ wrong: true })); + await expect(openAICompatibleProvider(opts).anonymize('x')).rejects.toThrow('LLM_BAD_SHAPE'); + }); +}); diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..9ffe3bf --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,18 @@ +{ + "compilerOptions": { + "target": "ES2021", + "module": "ESNext", + "moduleResolution": "Bundler", + "lib": ["ES2021", "DOM"], + "declaration": true, + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "verbatimModuleSyntax": true + }, + "include": ["src/**/*.ts", "test/**/*.ts"] +} diff --git a/tsup.config.ts b/tsup.config.ts new file mode 100644 index 0000000..b958220 --- /dev/null +++ b/tsup.config.ts @@ -0,0 +1,11 @@ +import { defineConfig } from 'tsup'; + +export default defineConfig({ + entry: ['src/index.ts'], + format: ['esm', 'cjs'], + dts: true, + clean: true, + sourcemap: true, + target: 'es2021', + outExtension: ({ format }) => ({ js: format === 'cjs' ? '.cjs' : '.js' }), +});