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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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4bb2442313
Complete AI-powered personal brand automation for Sami Assiri.\n\n7 agents: LinkedIn, Email, Social Media, WhatsApp, CV Optimizer, Content Strategist, Opportunity Scout.\nInfra: FastAPI + APScheduler + Docker + Ollama/Groq LLM + GitHub Pages landing page.\n83 files, ~10K lines. Cost: $0-5/month.
132 lines
4.3 KiB
Python
132 lines
4.3 KiB
Python
"""Webhook endpoints for WhatsApp and other services."""
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from __future__ import annotations
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import logging
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from fastapi import APIRouter, Request, Response, Query
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from config.settings import get_settings
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from llm.client import get_llm_client
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from storage.database import get_db
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logger = logging.getLogger(__name__)
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router = APIRouter()
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@router.get("/whatsapp")
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async def verify_whatsapp_webhook(
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hub_mode: str = Query(None, alias="hub.mode"),
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hub_challenge: str = Query(None, alias="hub.challenge"),
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hub_verify_token: str = Query(None, alias="hub.verify_token"),
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):
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"""Meta Cloud API webhook verification."""
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settings = get_settings()
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if hub_mode == "subscribe" and hub_verify_token == settings.whatsapp_verify_token:
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logger.info("WhatsApp webhook verified")
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return Response(content=hub_challenge, media_type="text/plain")
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return Response(content="Forbidden", status_code=403)
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@router.post("/whatsapp")
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async def handle_whatsapp_message(request: Request):
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"""Handle incoming WhatsApp messages via Meta Cloud API."""
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try:
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body = await request.json()
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logger.info("WhatsApp webhook received")
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# Extract message from Meta Cloud API format
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entry = body.get("entry", [{}])[0]
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changes = entry.get("changes", [{}])[0]
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value = changes.get("value", {})
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messages = value.get("messages", [])
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if not messages:
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return {"status": "no_message"}
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message = messages[0]
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from_number = message.get("from", "")
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message_text = message.get("text", {}).get("body", "")
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if not message_text:
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return {"status": "non_text_message"}
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# Process with WhatsApp agent
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from agents.whatsapp import WhatsAppAgent
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settings = get_settings()
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llm_client = get_llm_client()
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db = get_db()
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agent = WhatsAppAgent(config=settings, llm_client=llm_client, db_session=db)
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result = await agent.run(
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task="handle_message",
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from_number=from_number,
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message_text=message_text,
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)
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# Send response back via Meta Cloud API
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response_text = result.get("response", "")
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if response_text and settings.whatsapp_api_token:
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import httpx
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async with httpx.AsyncClient() as client:
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await client.post(
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f"https://graph.facebook.com/v18.0/{settings.whatsapp_phone_number_id}/messages",
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headers={"Authorization": f"Bearer {settings.whatsapp_api_token}"},
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json={
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"messaging_product": "whatsapp",
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"to": from_number,
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"type": "text",
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"text": {"body": response_text},
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},
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)
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db.close()
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return {"status": "processed"}
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except Exception as e:
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logger.error("WhatsApp webhook error: %s", e)
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return {"status": "error", "detail": str(e)}
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@router.post("/whatsapp/twilio")
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async def handle_twilio_whatsapp(request: Request):
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"""Handle incoming WhatsApp messages via Twilio."""
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try:
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form = await request.form()
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from_number = form.get("From", "").replace("whatsapp:", "")
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message_text = form.get("Body", "")
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if not message_text:
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return Response(content="<Response></Response>", media_type="application/xml")
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from agents.whatsapp import WhatsAppAgent
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settings = get_settings()
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llm_client = get_llm_client()
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db = get_db()
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agent = WhatsAppAgent(config=settings, llm_client=llm_client, db_session=db)
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result = await agent.run(
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task="handle_message",
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from_number=from_number,
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message_text=message_text,
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)
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response_text = result.get("response", "شكراً لتواصلك!")
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db.close()
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# TwiML response
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twiml = f"""<?xml version="1.0" encoding="UTF-8"?>
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<Response>
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<Message>{response_text}</Message>
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</Response>"""
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return Response(content=twiml, media_type="application/xml")
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except Exception as e:
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logger.error("Twilio webhook error: %s", e)
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return Response(
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content="<Response><Message>عذراً، حدث خطأ. يرجى المحاولة لاحقاً.</Message></Response>",
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media_type="application/xml",
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)
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