Install and first steps.

import {
  createFhirDeClient,
  createMockFhirTransport,
} from '@polaris/sdk/fhir'
import { AnonymizedPrompt } from '@polaris/sdk/llm'
import { FPDEPatientProfile } from '@polaris/fhir-de'

// 1. Set up an in-memory mock transport (no Aidbox needed for local dev)
const mock = createMockFhirTransport({
  fixtures: [{
    resourceType: 'Patient',
    id: 'pat-001',
    meta: { profile: ['https://fhir.cognovis.de/praxis/StructureDefinition/fpde-patient'] },
    name: [{ family: 'Mustermann', given: ['Max'] }],
    identifier: [{ value: '123456789' }],
    address: [{ city: 'Berlin' }],
    telecom: [{ value: '+49 30 12345' }],
    birthDate: '1975-03-22',
    gender: 'male',
  }],
})

// 2. Build the FHIR client with PII anonymization enabled
//    Requires POLARIS_ANON_SALT to be set in the environment
//    In production, generate with: crypto.randomBytes(32).toString('hex')
process.env.POLARIS_ANON_SALT = 'demo-salt-replace-in-production-use-32-plus-random-bytes'

const client = createFhirDeClient({
  baseUrl: 'http://mock',
  transport: mock,
  piiMode: 'anonymized',  // name, identifier, address, telecom, photo stripped from responses
})

// 3. Read patient — PII is stripped before reaching this code
const patients = client.forProfile(FPDEPatientProfile, 'Patient')
const patient = await patients.read('pat-001')

// patient.name === undefined (stripped)
// patient.identifier === undefined (stripped)
// patient.address === undefined (stripped)
// patient.telecom === undefined (stripped)
// patient.birthDate === '1975-03-22' (NOT stripped — birthDate is preserved)
// patient.id === 'anon-3f8a2b1c94d7' (SHA-256 hash of salt:pat-001, first 12 hex chars)
// patient.gender === 'male' (non-PII, preserved)

// 4. Build an AnonymizedPrompt from the de-identified data
//    This is the PII-safe input for LLM routing
const prompt = AnonymizedPrompt.from({
  anonymizedText: [
    `Patient (ID: ${patient?.id ?? 'unknown'}, gender: ${patient?.gender ?? 'unknown'})`,
    'Chief complaint: persistent back pain for 3 weeks, no radiation.',
    'Please suggest relevant ICD-10 codes.',
  ].join(' '),
})

// 5. Route to the LLM gateway (gateway not configured here — shows integration point)
//    In a real MIRA integration, pass prompt.text to the gateway:
//
//    const response = await app.fetch(new Request('http://localhost/v1/chat/completions', {
//      method: 'POST',
//      headers: { 'Content-Type': 'application/json' },
//      body: JSON.stringify({
//        messages: [{ role: 'user', content: prompt.text }],
//        gateway: {
//          requires: ['text', 'medicalCoding', 'germanLanguage'],
//          intent: 'billing-coding-suggest',
//          pii: 'anonymized',
//        },
//      }),
//    }))
//
// The AnonymizedPrompt type enforces at compile time that no RealPrompt reaches
// an intent declared pii: 'anonymized' — the TypeScript compiler rejects it.

console.log('Prompt ready for LLM routing:', prompt.text.slice(0, 80) + '...')