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DEls d03df384ea feat(ocr-result, po-items): enhance PO matching logic with fuzzy search
Updated the OCR result processing to include a more robust PO matching mechanism. The new implementation prioritizes exact matches, followed by normalized comparisons, and finally employs a Levenshtein-based fuzzy match for improved accuracy. This change ensures that delivery notes are correctly linked to purchase orders, even when OCR introduces minor errors. Additionally, the behavior for handling confidence levels and PO resolution has been clarified in the documentation, enhancing overall processing reliability.
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.dockerignore Fix Coolify build: include scripts/ in Docker context 2026-08-09 20:30:29 +02:00
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AGENTS.md Enhance PO upload error handling and validation 2026-08-19 15:03:48 +02:00
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deployment-vptid1uo0jnz2q4t1mcbqjj9-all-logs-2026-08-19-00-23-06.txt Refactor Purchase Order upload flow documentation 2026-08-19 02:25:11 +02:00
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MEGA INFRASTRUCTURE — Operations Dashboard

A Next.js 16 + TypeScript + Tailwind v4 dashboard for a construction company. Tracks fuel consumption per hour/day/week, delivery notes & outstanding items per purchase order, and weekly workforce hours with attendance flags.

The project is frontend-first with mock data, ready to be wired up to PocketBase (or any backend) for live data.


Modules

Path What it does
/login Numeric PIN gate. PIN lives in NEXT_PUBLIC_APP_PIN. Append ?demo=1 to any URL to skip the PIN during development.
/dashboard Operations overview — KPI cards, fuel chart, order status donut, "needs attention" rail, top suppliers.
/dashboard/fuel Per-vehicle consumption, theft detection, CSV ingest (papaparse), anomaly log.
/dashboard/orders Purchase-order table with filters, pagination, sort. Click any PO to see line items, delivery notes, outstanding items.
/dashboard/employees Weekly hours per employee with progress bar, overtime flag, role/site/attendance filters, mini daily-hours chart.

APIs

  • GET /api/health — counts and site list.
  • GET /api/mcp?module=all|fuel|orders|employees — compact JSON for an AI agent / MCP server / n8n workflow.
  • POST /api/upload — multipart upload of PDF / image / CSV (delivery notes, fuel attachments). 20 MB limit per file.

PWA

The app is installable on phone and desktop. Service worker is generated by @ducanh2912/next-pwa at build time (public/sw.js), manifest at public/manifest.json, icons at public/icons/.

Note: @ducanh2912/next-pwa uses the Webpack plugin, so next dev and next build must run with --webpack. Next 16 ships Turbopack by default; the package.json scripts already pass --webpack.


Run

cp .env.local.example .env.local       # change NEXT_PUBLIC_APP_PIN
npm install
npm run dev                            # http://localhost:3000

Default PIN is 2468.

Production

npm run build
npm run start

How the theft detection works

src/lib/fuel.ts defines EXPECTED_LITRES_TOLERANCE_PCT = 12. For every reading we compute:

expectedLitres = hoursWorked * expectedConsumptionPerHour
deltaPct       = (litresFilled - expectedLitres) / expectedLitres * 100

Severity buckets:

Over expected Severity
≤ 12 % ok
12 – 24 % watch
24 – 48 % alert
> 48 % critical

Adjust EXPECTED_LITRES_TOLERANCE_PCT to suit on-site practice.


CSV format for fuel upload

Required columns:

vehicleRegistration,date,hoursWorked,odometer,litresFilled,unitPrice,expectedConsumptionPerHour
MI-EX-01,2026-08-01,9.5,12480,90,24.50,9

The "Template" button on the Fuel page downloads a populated example.


Wiring a backend

Replace the imports in src/app/dashboard/*/page.tsx and src/app/api/mcp/route.ts with calls into PocketBase / your API. The shape of every type is in src/lib/types.ts.

Recommended PocketBase collections:

  • vehicles (registration, type, model, tankCapacityL, assignedSite)
  • fuel_readings (vehicleId, date, hoursWorked, odometer, litresFilled, unitPrice, expectedConsumptionPerHour, attachment?)
  • orders (reference, supplier, site, status, priority, placedAt, expectedAt, totalValue, notes)
  • order_lines (orderId, description, quantityOrdered, quantityDelivered, unit, unitPrice)
  • delivery_notes (orderId, scannedBy, file, mimeType, receivedAt)
  • employees (fullName, role, site, status, phone, hourlyRate, weeklyTargetHours)
  • daily_hours (employeeId, date, hours)