server/outreach_engine.py

import os
import time
import requests
from server.db import SessionLocal, Lead, Action

def search_prospects(query: str, job_id: int):
    """Finds potential backlink prospects (blogs/sites) for a niche."""
    db = SessionLocal()
    try:
        # In production: use SerpApi or specialized crawlers
        # We simulate finding 3 prospects
        mock_prospects = [
            {"url": "https://tech-blog-example.com", "email": "admin@tech-blog-example.com"},
            {"url": "https://marketing-trends.io", "email": "hello@marketing-trends.io"},
            {"url": "https://ai-news-weekly.net", "email": "contact@ai-news-weekly.net"}
        ]
        
        leads_added = []
        for p in mock_prospects:
            new_lead = Lead(
                job_id=job_id,
                url=p['url'],
                email=p['email'],
                status='found'
            )
            db.add(new_lead)
            db.flush()
            leads_added.append(new_lead.id)
            
            # Create an Action for each lead
            action_task = f"Send outreach email to {p['url']} for backlink placement."
            new_act = Action(
                job_id=job_id,
                type="outreach",
                task=action_task,
                priority_score=70, # Steady priority
                status='pending'
            )
            db.add(new_act)
            
        db.commit()
        return leads_added
    finally:
        db.close()

def send_outreach_email(lead_id: int):
    """Mocks sending a personalized AI-generated outreach email."""
    db = SessionLocal()
    try:
        lead = db.query(Lead).filter(Lead.id == lead_id).first()
        if not lead: return False
        
        # In production: Use SMTP or SendGrid + AI Template
        print(f"Sending automated email to: {lead.email}")
        time.sleep(1)
        
        lead.status = 'outreach_sent'
        db.commit()
        return True
    finally:
        db.close()