AI screening and normalized skills for Workday Recruiting

const { WD_HOST, WD_TENANT, WD_ISU_USER, WD_ISU_PASSWORD, WD_DOC_CATEGORY } = process.env
const WORKDAY = `https://${WD_HOST}/ccx/service/${WD_TENANT}/Recruiting/v47.0`
const HIRELAYER = 'https://hirelayer.co'
const apiKey = { 'X-API-Key': process.env.HIRELAYER_API_KEY! }

// Recruiting web service call, signed as the integration system user
async function workday(body: string): Promise<string> {
  const res = await fetch(WORKDAY, {
    method: 'POST',
    headers: { 'Content-Type': 'text/xml; charset=utf-8' },
    body: `<env:Envelope xmlns:env="http://schemas.xmlsoap.org/soap/envelope/"
  xmlns:wsse="http://docs.oasis-open.org/wss/2004/01/oasis-200401-wss-wssecurity-secext-1.0.xsd"
  xmlns:wd="urn:com.workday/bsvc">
  <env:Header><wsse:Security><wsse:UsernameToken>
    <wsse:Username>${WD_ISU_USER}</wsse:Username>
    <wsse:Password>${WD_ISU_PASSWORD}</wsse:Password>
  </wsse:UsernameToken></wsse:Security></env:Header>
  <env:Body>${body}</env:Body></env:Envelope>`,
  })
  if (!res.ok) throw new Error(`Workday ${res.status}: ${await res.text()}`)
  return res.text()
}

// app: one job application read with Get_Candidates (Resume_Attachment_Data)
export async function screen(app: Record<string, string>) {
  const form = new FormData()
  const file = new Blob([Buffer.from(app.fileContent, 'base64')]) // base64 in Workday
  form.append('file', file, app.filename)
  const parsed = await fetch(`${HIRELAYER}/api/v3/parser`, {
    method: 'POST', headers: apiKey, body: form, signal: AbortSignal.timeout(150_000),
  }).then((r) => r.json())

  const criteria = await loadCriteria(app.requisitionId) // saved from Job Extract
  const match = await fetch(`${HIRELAYER}/api/v1/matching/job-candidate`, {
    method: 'POST',
    headers: { ...apiKey, 'Content-Type': 'application/json' },
    body: JSON.stringify({
      job_text: criteria.jobText,
      candidate_text: parsed.info_resume.text,
      matching_criteria: criteria.items,
    }),
  }).then((r) => r.json())

  const report = Buffer.from(`Score: ${match.score}\n\n${match.summary}`).toString('base64')
  await workday(`<wd:Put_Candidate_Attachment_Request wd:version="v47.0">
  <wd:Job_Application_Attachment_Data>
    <wd:Job_Application_Reference>
      <wd:ID wd:type="Job_Application_ID">${app.jobApplicationId}</wd:ID>
    </wd:Job_Application_Reference>
    <wd:Additional_Attachment_Data>
      <wd:Filename>hirelayer-${Date.now()}.txt</wd:Filename>
      <wd:File_Content>${report}</wd:File_Content>
      <wd:Comment>HireLayer score ${match.score}</wd:Comment>
      <wd:Document_Category_Reference>
        <wd:ID wd:type="Document_Category_ID">${WD_DOC_CATEGORY}</wd:ID>
      </wd:Document_Category_Reference>
    </wd:Additional_Attachment_Data>
  </wd:Job_Application_Attachment_Data>
</wd:Put_Candidate_Attachment_Request>`)
}