feat: team module, multi-stage Dockerfile, doctor utils, AI config overhaul

- Team module: POST /api/team/members (in-place employee creation with
  temp password + Redis cache), PUT /api/team/members/:id, GET temp
  password endpoint. Uses signUpInWorkspace — no email invites.
- Dockerfile: rewritten as multi-stage build (builder + runtime) so
  native modules compile for target arch. Fixes darwin→linux crash.
- .dockerignore: exclude dist, node_modules, .env, .git, data/
- package-lock.json: regenerated against public npmjs.org (was
  pointing at localhost:4873 Verdaccio — broke docker builds)
- Doctor utils: shared DOCTOR_VISIT_SLOTS_FRAGMENT + normalizeDoctors
  helper for visit-slot-aware queries across 6 consumers
- AI config: full admin CRUD (GET/PUT/POST reset), workspace-scoped
  setup-state with workspace ID isolation, AI prompt defaults overhaul
- Agent config: camelCase field fix for SDK-synced workspaces
- Session service: workspace-scoped Redis key prefixing for setup state
- Recordings/supervisor/widget services: updated to use doctor-utils
  shared fragments instead of inline visitingHours queries

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-04-10 08:37:58 +05:30
parent eacfce6970
commit 695f119c2b
25 changed files with 2756 additions and 1936 deletions

View File

@@ -235,11 +235,11 @@ The CUSTOMER typically:
patientSatisfaction: z.string().describe('One-line assessment of patient satisfaction'),
callOutcome: z.string().describe('One-line summary of what was accomplished'),
}),
system: `You are a call quality analyst for Global Hospital Bangalore.
Analyze the following call recording transcript and provide structured insights.
Be specific, brief, and actionable. Focus on healthcare context.
${summary ? `\nCall summary: ${summary}` : ''}
${topics.length > 0 ? `\nDetected topics: ${topics.join(', ')}` : ''}`,
system: this.aiConfig.renderPrompt('recordingAnalysis', {
hospitalName: process.env.HOSPITAL_NAME ?? 'the hospital',
summaryBlock: summary ? `\nCall summary: ${summary}` : '',
topicsBlock: topics.length > 0 ? `\nDetected topics: ${topics.join(', ')}` : '',
}),
prompt: transcript,
maxOutputTokens: 500,
});