Interfacer Init Data

Test data injection scripts for the Interfacer platform.

Overview

This project generates test data by directly interacting with the backend services:

Service	Purpose	Interface
Zenflows	Users, projects, resources	GraphQL
interfacer-dpp	Digital Product Passports	REST
interfacer-feedback	Reviews and comments	REST

What Gets Created

Entity	Count	Details
Users	3	Alice (designer), Bob (maker), Clara (reviewer)
Designs	5	With 3D model files (.stl)
Services	3	Remote/digital services
Products	5	Each linked to a design
DPPs	15	3 per product
Feedback	7	Reviews + comments

Data Flow per Entity

User Creation

1. keypairoomServer mutation → get HMAC
2. Zenroom keypairoomClient → generate EdDSA, Ethereum, Reflow, Bitcoin, ECDH keys
3. createPerson mutation → create agent in zenflows
4. personCheck query → verify user exists

Project Creation (Design / Service / Product)

1. createProcess mutation → create process
2. Upload images to zenflows file endpoint (sha512 hash)
3. Upload 3D models to DPP upload endpoint (sha256 + eddsa sign)
4. createEconomicEvent (action: "produce") → create resource
5. For products: createEconomicEvent (action: "cite") → link design
6. Add contributors, relations as needed

DPP Creation

1. POST /dpp to DPP REST API (signed with eddsa)
2. createEconomicEvent (action: "produce", conformsTo: specDpp) → DPP resource
3. createEconomicEvent (action: "cite") → link DPP to product

Feedback Creation

1. POST /api/v1/projects/:id/reviews → create review (1-5 stars)
2. POST /api/v1/projects/:id/comments → create comment
3. All feedback endpoints require eddsa-signed requests

Prerequisites

• Node.js 18+
• Running services:
  • Zenflows (GraphQL at NEXT_PUBLIC_ZENFLOWS_URL)
  • interfacer-dpp (REST at NEXT_PUBLIC_DPP_URL)
  • interfacer-feedback (REST at NEXT_PUBLIC_FEEDBACK_URL)
• Environment: copy .env.local from ../interfacer-gui/
• 3D model: /Users/alcibiade/Desktop/incastro_mobile.stl

Usage

As a standalone Node.js script:

node --experimental-vm-modules main.mjs

As a Jupyter notebook (requires ijavascript):

npm install -g ijavascript
ijsinstall
jupyter notebook interfacer_init_data.ipynb

Auth / Signing

All mutations are cryptographically signed using EdDSA keys generated via Zenroom.

Zenflows GraphQL:

• Sign the entire request body (base64-encoded)
• Headers: zenflows-sign, zenflows-user, zenflows-hash
• Admin header: zenflows-admin (for privileged operations like createPerson)

DPP / Feedback REST:

• Sign the request body (or empty string for GET/DELETE)
• Headers: did-sign, did-pk, x-user-id

Output

After successful execution, a results.json file is created containing all created entity IDs, which can be used for cleanup or reference.