ray
53 lines
2.5 KiB
Markdown
53 lines
2.5 KiB
Markdown
# ShopProQuote Dashboard Overview
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Complete map of all pages, tabs, modals, and features. Use this when asked "what's in the dashboard" or "overview of everything" — give a concise structured summary, NOT a code dive.
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## Pages
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| File | Purpose |
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|------|---------|
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| `login.html` | Login/signup/auth |
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| `repair-orders.html` | Main dashboard (1448 lines) — repair orders + quote builder |
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| `index.html` | Home/overview with tasks, alerts, financial dashboard |
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| `appointments.html` | Appointments with scan screenshot (OCR + LLM) |
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| `customers.html` | Customer database lookup |
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## repair-orders.html — 3 Main Tabs
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1. **Active Orders** — Current RO cards with status, vehicle, services. Shows next appointment at top.
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2. **RO History** — Search/filter completed orders (RO#, name, VIN). Status filter dropdown.
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3. **Generate Quote** — Quote builder: service search dropdown, selected services list, vehicle/mileage/discount fields, AI Write + Generate Priorities buttons, Save Quote, Print Preview, Saved Quotes card.
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### Modals on repair-orders
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- Add Custom Service (text input for recommendation reason, AI Write button)
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- Edit RO (status dropdown)
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- Financial Summary
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- All Saved Quotes modal (search, sort, delete, load)
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- Quote Settings (gear icon): 5 sub-tabs — Business Info, Advisor, Financial, Messages, Services
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- Account Settings / Change Password / Site Settings
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## index.html — Home/Overview
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- Critical Alerts section
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- Action cards: Repair Orders, Appointments, Financial Dashboard
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- Tasks modal: Active tasks + Task History, create/edit with recurring options
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- Financial Dashboard modal (3 tabs): Overview, Analytics, Performance — revenue charts, top services, top customers
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- Account/Site Settings modals
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## appointments.html
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- Appointment list with customer/vehicle info
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- Scan Screenshot: Tesseract.js OCR → local LLM via `/llm/v1/chat/completions` → parse to structured JSON → review modal → batch create
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- Fallback: `parseWithRules()` client-side regex parser if LLM down
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## Infrastructure
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| Component | Role |
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|-----------|------|
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| nginx :3447 | Serves site + proxies `/llm/` → llama-server:8081 |
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| llama-server | Currently Qwen2.5-7B Q2_K via Vulkan (3.2 GB VRAM). Drives AI Write, Generate Priorities, OCR parsing |
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| PocketBase :8091 | Local DB. Stores services, quotes, repair orders, settings |
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| Tesseract.js | CDN-loaded client-side OCR. `eng.traineddata` cached in browser |
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| GPU | GTX 1050 Ti 4GB → RTX 2080 Ti 11GB (on order) |
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