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Chicken Business Management MCP Server

by PSYGER02
PART_B_IMPLEMENTATION.md1.72 kB
# Part B Implementation - AI Parsing ## ✅ What I Added (Part B) Following your workflow, I implemented **AI parsing** of stock notes using Gemini API. ### 🔧 **Changes Made:** 1. **`simple-notes-table.sql`** - Added `parsed_data` and `status` columns 2. **`services/geminiService.ts`** - Added `parseStockNote()` function 3. **`components/NoteInput.tsx`** - Added "Parse with AI" button 4. **`components/NotesViewer.tsx`** - Shows parsing status and results ### 🎯 **Your Workflow - Part B:** ``` Owner types: "Bought magnolia whole chicken 20 bags with 10 chickens each" ↓ Clicks "🤖 Parse with AI" ↓ Gemini AI extracts: {"purchases": [{"product": "magnolia whole chicken", "bags": 20, "units_per_bag": 10}]} ↓ Shows parsed data + saves to database ``` ### 🚀 **Test Part B:** 1. **Go to Stock Management page** 2. **Type note:** "Bought magnolia whole chicken 20 bags with 10 chickens each. Chopped and got 35 bags with 40 pieces. Sent 3 bags to branch1. Branch1 cooked 1 bag and sold 20 pieces at 35 pesos." 3. **Click "🤖 Parse with AI"** 4. **See structured data** extracted by AI 5. **Click "Save Note"** to store both note + parsed data ### 📊 **Database Updates:** ```sql notes table now has: - parsed_data (jsonb) - AI extracted structure - status (pending/parsed/applied) ``` ### 🎯 **AI Parsing Output:** ```json { "purchases": [{"product": "magnolia whole chicken", "bags": 20, "units_per_bag": 10}], "cooking": [{"bags": 1, "branch": "branch1"}], "sales": [{"pieces": 20, "price": 35, "branch": "branch1"}], "transfers": [{"to_branch": "branch1", "bags": 3}] } ``` **Part B Complete!** AI now parses your notes into structured data. Ready for Part C (stock updates)?

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