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name description
parlo-styring Parlo Styring app for Parlobyg - Next.js job management system. Use for development, deployment, and working with Mikkel's scheduling app. Triggers on parlo-styring, scheduling app, or Coolify deployment tasks.

Parlo Styring Skill

Next.js job management and scheduling application for Parlobyg construction company.

Live App

Repository

Deployment (Coolify)

  • App UUID: xht4hfyngaimnf0mjmrc93vx
  • Stack: Next.js 14.2.5 (standalone)
  • Port: 3000 (internal)
  • Domain: parlo.machinemachine.ai (via Traefik)

Environment Variables

ORDRESTYRING_API_KEY=q3mjVDR6wAdPCvZT
ENABLE_WRITES=false
OPENROUTER_API_KEY=sk-or-v1-...
NEXTAUTH_URL=https://parlo.machinemachine.ai

Development

Clone & Run Locally

# Clone
git clone http://git.machinemachine.ai/machine.machine/parlo-styring.git
cd parlo-styring

# Install & run
npm install
npm run dev

Push Changes

git add -A
git commit -m "feat: description"
git push origin main
# Coolify auto-deploys on push

Architecture

src/
├── app/              # Next.js App Router pages
│   ├── api/          # API routes
│   │   ├── cases/    # Ordrestyring cases
│   │   ├── customers/
│   │   ├── workers/
│   │   └── ai/       # AI chat endpoint
│   ├── dashboard/    # Main dashboard
│   ├── sager/        # Cases (Sager) pages
│   ├── kunder/       # Customers pages
│   └── medarbejdere/ # Workers pages
├── components/       # React components
│   ├── GanttChart/   # Scheduling Gantt view
│   ├── CaseDetail/   # Case detail panel
│   └── Chat/         # AI chat interface
└── lib/
    └── ordrestyring.ts  # GraphQL client

Features

  • 📋 Dashboard — Overview of cases, workers, schedule
  • 📅 Gantt Chart — Visual scheduling with AI suggestions
  • 👥 Customers — Customer list with detail views
  • 👷 Workers — Worker management and daily views
  • 💬 AI Chat — OpenRouter-powered assistant
  • 📱 PWA — Mobile-friendly, installable

API Integration

Ordrestyring

The app fetches live data from Ordrestyring GraphQL:

  • Cases, customers, workers, hours
  • Read-only by default (ENABLE_WRITES=false)

AI Chat

Uses OpenRouter API with context from:

  • Qdrant vector memory (memory-qdrant:6333)
  • BGE-M3 embeddings (memory-embeddings:8000)

Work Packages

The repo contains WORKPACKAGE-*.md files documenting features to build. Current count: ~39 work packages

Quick Commands

# Check deployment status
curl -s https://parlo.machinemachine.ai/api/health

# View recent commits
curl -s -H "Authorization: token $FORGEJO_TOKEN" \
  "http://git.machinemachine.ai/api/v1/repos/machine.machine/parlo-styring/commits?limit=5"

# Trigger rebuild (via Forgejo webhook)
# Push any change → Coolify auto-deploys

Related Skills

  • ordrestyring — GraphQL API for job data
  • parlobyg-email — Email integration
  • microsoft-graph — Mikkel's Outlook/OneDrive

References