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WhatsApp Brain (4 files, ~1,200 lines): whatsapp_brain.py (350 lines): - Central router: identify caller → detect intent → route → respond - 5 modes: SALES, SUPPORT, MARKETER, DEALS, GENERAL - Connected to DB: queries leads, users, affiliates by phone - Arabic/English language detection - 11 intent types with keyword matching - Conversation history (last 50 messages per caller) - Contextual responses using caller profile data whatsapp_knowledge.py (250 lines): - 6 features with Arabic descriptions + selling points - 3 pricing plans with Arabic feature lists - 8 objection responses (Arabic + English) - 3 competitor battlecards (Zoho, Salesforce, HubSpot) - 10 FAQ + 5 Marketer FAQ - FAQ search by keyword matching comparison_engine.py (200 lines): - 5 competitors × 12 dimensions scoring (0-10) - Chart data for radar/bar charts (frontend-ready) - Feature comparison matrix (8 features × 5 competitors) - "Why Dealix Wins" lists (Arabic + English) - Per-competitor comparison summaries whatsapp_webhook.py (120 lines): - POST /webhooks/whatsapp/incoming — Meta + Twilio format parsing - GET /webhooks/whatsapp/verify — Meta challenge verification - POST /webhooks/whatsapp/status — Delivery/read receipts https://claude.ai/code/session_01LsnvBa7HwF5hs99VZbgLGj |
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