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CrazeAnalytix/CLAUDE.md
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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Commands
```bash
npm run dev # Start Vite dev server on port 3000
npm run build # Production build to dist/
npm run preview # Preview production build
```
No test or lint scripts are configured. ESLint config exists (`eslint.config.js`) but has no npm script.
## Environment
Requires Node.js >= 18. Set `GEMINI_API_KEY` in `.env.local` for the AI chat feature (Google Gemini API).
## Project Structure
```
├── App.tsx # Main app component, global state orchestrator
├── index.tsx # React entry point
├── index.html # HTML template (Tailwind CDN loaded here)
├── types.ts # All TypeScript interfaces
├── vite.config.ts # Vite config (port 3000, proxy routes, path alias)
├── vercel.json # Vercel deployment config (API rewrites, SPA routing)
├── firebase.json # Firebase hosting config (alternative deployment)
├── api/ # Vercel serverless functions
│ ├── ask-gemini.ts # Gemini AI chat proxy
│ ├── fetch-data.ts # Sales CSV from Dropbox
│ ├── fetch-ads.ts # Ads Excel from Dropbox
│ ├── fetch-traffic.ts # Traffic data
│ ├── fetch-stock.ts # Item availability
│ ├── fetch-paneu-stock.ts # PAN-EU vendor stock
│ ├── fetch-uk-inventory.ts# UK inventory
│ ├── fetch-buybox.ts # Buy Box tracker
│ ├── fetch-forecast.ts # Forecast data
│ └── fetch-vendor-stock.ts
├── components/ # React components
│ ├── Dashboard.tsx # KPI cards, charts, YoY comparisons
│ ├── DataGrid.tsx # Pivot table with Excel-style filters (~96KB)
│ ├── WeeklyGrid.tsx # Weekly time-series view
│ ├── TopMovers.tsx # Growth/decline analysis
│ ├── AdsPerformance.tsx # Ad spend, ROAS, ACOS metrics
│ ├── ForecastView.tsx # Product forecasts with seasonality
│ ├── FilterBar.tsx # Sticky filter controls
│ ├── AIChat.tsx # AI assistant sidebar
│ ├── FileUpload.tsx # Manual data upload modal
│ ├── ExcelFilter.tsx # Advanced column filtering UI
│ ├── MultiSelectDropdown.tsx # Reusable filter dropdown
│ ├── StockBadge.tsx # Stock status indicator
│ ├── VendorStockBadge.tsx # Vendor stock indicator
│ ├── BuyBoxWarningBadge.tsx # Buy Box loss warnings
│ ├── Top50Badge.tsx # Top 50 product badge
│ ├── InColumnStockFilter.tsx # In-column stock filter
│ ├── NumericColumnFilter.tsx # Numeric column filter
│ ├── CrazeLogo.tsx # Header branding
│ ├── ErrorBoundary.tsx # Error handling wrapper
│ └── Icons.tsx # SVG icon library
├── services/ # Business logic and data layer
│ ├── dataProcessor.ts # Core data engine (~2400 lines)
│ ├── storage.ts # IndexedDB + localStorage caching
│ ├── geminiService.ts # AI context builder + API calls
│ └── filterHelper.ts # Filter utilities
└── public/ # Static data files
├── fc 26.xlsx # EU forecast
├── fc UK 26.xlsx # UK forecast
├── Item Availability.xlsx
├── Buy_Box_tracker.xlsx
└── Vendor Stock.xlsx
```
## Architecture
Amazon seller analytics dashboard: React 19 + TypeScript + Vite + Tailwind CSS (CDN). Deployed on Vercel with serverless API routes.
### Data Flow
```
Dropbox (CSV/Excel files)
→ /api/* serverless functions (fetch + proxy)
→ dataProcessor.ts (parse, normalize, aggregate)
→ App.tsx state (useState, no Redux)
→ View components (Dashboard, DataGrid, AdsPerformance, etc.)
```
Data is cached in IndexedDB via `services/storage.ts`. On load, cached data displays immediately while fresh data fetches in the background.
### Key Files
- **App.tsx** — Main orchestrator. Holds all global state (rawData, adsData, trafficData, filters, etc.) and passes data/handlers as props to views.
- **services/dataProcessor.ts** (~2400 lines) — Core data engine. Handles CSV/Excel parsing, currency normalization (EU `1.234,56` and US `1,234.56` formats), Spanish/English month mapping, filtering (`filterData`, `filterAdsData`), aggregation (`aggregateData`), and pivot table generation (`pivotSalesData`).
- **types.ts** — All TypeScript interfaces: `SalesRecord`, `AdsRecord`, `TrafficRecord`, `ForecastRecord`, `FilterState`, `AggregatedData`, `PivotRow`, etc.
- **services/storage.ts** — IndexedDB + localStorage caching with schema versioning.
- **services/geminiService.ts** — Builds structured context from aggregated data and sends to Gemini API.
### Views (rendered conditionally by `view` state in App.tsx)
| View | Component | Purpose |
|------|-----------|---------|
| dashboard | Dashboard.tsx | KPI cards, charts, YoY comparisons |
| table | DataGrid.tsx | Pivot table with Excel-style column filters |
| weekly | WeeklyGrid.tsx | Weekly time-series breakdown |
| movers | TopMovers.tsx | Top growth/decline products |
| ads | AdsPerformance.tsx | Ad spend, ROAS, ACOS metrics |
| forecast | ForecastView.tsx | Product forecasts with velocity mapping |
### API Routes (`/api/`)
All serverless functions fetch data from Dropbox (direct download URLs with `dl=1`). Each returns the raw file content for client-side processing:
- `fetch-data.ts` (sales CSV), `fetch-ads.ts` (ads Excel), `fetch-traffic.ts`, `fetch-stock.ts`, `fetch-paneu-stock.ts`, `fetch-uk-inventory.ts`, `fetch-buybox.ts`, `fetch-forecast.ts`
- `ask-gemini.ts` — Proxies chat requests to Google Gemini API
### Important Constants (in dataProcessor.ts)
- `PAN_EU_COUNTRIES = ['Amazon DE', 'Amazon IT', 'Amazon FR', 'Amazon ES']` — Default country filter when no customer is selected
- `MONTH_ORDER`, `MONTH_MAP` — Month normalization including Spanish names (Enero→Jan, etc.)
- `parseCurrency()` — Handles both EU and US number formats
- Country mapping normalizes various spellings (e.g., "Germany", "Deutschland", "DE", "Alemania" → "Amazon DE")
### Filtering Architecture
Filters flow from `FilterBar.tsx``App.tsx` state → `filterData()`/`filterAdsData()` in dataProcessor.ts. When no customer filter is selected, ads data defaults to PAN_EU_COUNTRIES only. Sales data and ads data have separate filter functions.
### Path Alias
`@/*` maps to project root (configured in both `tsconfig.json` and `vite.config.ts`).