export const systemBrief = {
  title: "Manufacturing Monitoring System",
  goal:
    "A real-time industrial monitoring platform for steel quality inspection with ROI localization, defect segmentation, automated reporting, database logging, and WebSocket-driven live operations.",
  architectureFlow: [
    {
      title: "Camera and Image Intake",
      detail: "Collect uploaded inspection images or live browser camera frames from the shop floor.",
    },
    {
      title: "Steel ROI and Defect Engine",
      detail: "Localize the steel inspection region first, then run defect segmentation only inside that ROI to reduce false positives.",
    },
    {
      title: "Inspection Formatter",
      detail: "Normalize decisions, recommendations, defect summaries, and annotated preview output.",
    },
    {
      title: "Operational Data Layer",
      detail: "Store JSON reports locally and persist inspection records to PostgreSQL when configured.",
    },
    {
      title: "FastAPI Control Layer",
      detail: "Expose REST endpoints for reports, analytics, uploads, camera frames, and system health.",
    },
    {
      title: "WebSocket Event Stream",
      detail: "Broadcast inspection snapshots and live updates to all connected operator dashboards.",
    },
    {
      title: "React Monitoring Console",
      detail: "Present live status, history, analytics, and camera-based inspection in a clean UI.",
    },
  ],
  backend: {
    responsibilities: [
      "Serve inspection data through REST endpoints.",
      "Push real-time updates through WebSocket connections.",
      "Connect to PostgreSQL through Supabase or fall back to local report storage.",
    ],
    files: [
      {
        title: "api/main.py",
        detail: "FastAPI app, REST endpoints, and /ws WebSocket entry point.",
      },
      {
        title: "core/database.py",
        detail: "Safe database access layer with optional runtime fallback.",
      },
      {
        title: "core/config.py",
        detail: "Environment-backed application settings and path configuration.",
      },
      {
        title: "core/logger.py",
        detail: "Structured logging for debugging and operational tracing.",
      },
    ],
  },
  aiPipeline: {
    files: [
      {
        title: "live_camera.py",
        detail: "Simulated camera loop for offline inspection playback with the trained model.",
      },
      {
        title: "inspection/service.py",
        detail: "Unified runtime service for upload inspection, camera-frame inference, and preview overlays.",
      },
      {
        title: "inspection/output_formatter.py",
        detail: "Formats defect data, writes reports, stores records, and triggers live broadcasts.",
      },
    ],
    flow: [
      {
        title: "Capture",
        detail: "Acquire a shop-floor image from upload, live camera, or the simulation loop.",
      },
      {
        title: "Validate Surface",
        detail: "Localize the steel ROI or reject the frame before segmentation so faces, tools, and background objects do not enter the defect pipeline.",
      },
      {
        title: "Infer",
        detail: "Run segmentation only inside the approved steel ROI and extract contours, defect boxes, severity, and geometry.",
      },
      {
        title: "Decide",
        detail: "Generate PASS, REVIEW, or FAIL decisions with operational recommendations.",
      },
      {
        title: "Persist",
        detail: "Save reports locally and write to PostgreSQL when a database is configured.",
      },
      {
        title: "Broadcast",
        detail: "Stream the inspection event to dashboards through WebSocket updates.",
      },
    ],
  },
  database: {
    table: "inspections",
    columns: [
      "id",
      "timestamp",
      "total_defects",
      "minor",
      "moderate",
      "critical",
      "decision",
      "raw_data (JSON)",
    ],
  },
  frontend: {
    structure: [
      "src/components/Sidebar.jsx",
      "src/pages/Dashboard.jsx",
      "src/pages/History.jsx",
      "src/pages/Live.jsx",
      "src/pages/Analytics.jsx",
      "src/App.jsx",
    ],
    routing: [
      "/ -> Dashboard",
      "/history -> Inspection logs",
      "/live -> Live monitoring",
      "/analytics -> Charts and insights",
    ],
    features: [
      "Dashboard -> live status, defect counts, active alerts, and WebSocket updates.",
      "History -> searchable inspection logs with report detail selection.",
      "Live -> upload detection and browser camera inspection with annotated output.",
      "Analytics -> Recharts-based trends, defect mix, and source usage.",
    ],
  },
  realtime: {
    flow: [
      "New inspection captured",
      "Inspection formatted",
      "Local and DB storage written",
      "WebSocket event broadcast",
      "Dashboard, history, and analytics refresh",
    ],
  },
  currentState: {
    working: [
      "AI detection pipeline",
      "Steel ROI gate before defect segmentation",
      "Local report persistence",
      "REST API",
      "Frontend routing",
      "Dashboard UI",
      "WebSocket live updates",
      "Upload and camera inspection endpoints",
    ],
    inProgress: [
      "Detector model training with larger curated steel data",
      "Cloud LLM API key configuration per deployment",
    ],
  },
  improvements: {
    backend: [
      "Async-safe WebSocket broadcasting.",
      "Dropped-connection handling.",
      "Graceful database fallback.",
    ],
    frontend: [
      "Organized industrial dashboard layout.",
      "Clear loading and empty states.",
      "Live connection feedback and camera workflow polish.",
    ],
    realtime: [
      "WebSocket-first streaming.",
      "Heartbeat and reconnect handling.",
      "Inspection preview return for live camera frames.",
    ],
    features: [
      "Live monitoring with upload and camera options.",
      "Steel ROI localization before segmentation.",
      "Analytics with inspection trends.",
      "Alerts with visual and audio cues.",
    ],
  },
  finalSummary:
    "This is a full-stack manufacturing monitoring system that localizes the steel inspection region, detects surface defects in real time, stores inspection data, and visualizes live operations through a responsive dashboard.",
}