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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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Phase 1 - Repo Hardening: - README.md, LICENSE, SECURITY.md, CONTRIBUTING.md - GitHub Actions repo-hygiene workflow - docs/: ARCHITECTURE, DATA-MODEL, API-MAP, AGENT-MAP, DEPLOYMENT-NOTES Phase 2 - Database Models (7 new): - Company, Contact, Call, Commission, Payout, Dispute, GuaranteeClaim - Consent, Complaint, Policy, KnowledgeArticle, SectorAsset - Updated models/__init__.py with all 32+ models Phase 3 - API Surfaces (16 new route files): - companies, contacts, calls, meetings, commissions, payouts - disputes, guarantees, consents, complaints, knowledge - sectors, presentations, supervisor, admin, health - Updated router.py with all 24 route groups Phase 4 - AI Prompt Registry (18 agent contracts): - Lead Qualification, Affiliate Recruitment Evaluator, Onboarding Coach - Outreach Writer, Arabic WhatsApp, English Conversation, Voice Call - Meeting Booking, Sector Strategist, Objection Handler - Proposal Drafter, QA Reviewer, Compliance Reviewer - Knowledge Retrieval, Revenue Attribution, Fraud Reviewer - Guarantee Claim Reviewer, Management Summary Phase 5 - Communication Templates: - 15 production templates (WhatsApp, email, voice, internal) - Arabic + English variants with variable interpolation Phase 6 - Compliance Center (7 legal docs): - Privacy policy, Terms of service, Refund policy - Commission policy, Affiliate rules, Consent policy, Data protection - All PDPL-compliant, Arabic Phase 7 - Celery Workers (fully implemented): - follow_up_tasks: automated lead follow-ups with workflow execution - message_tasks: WhatsApp/email/SMS with retry logic - notification_tasks: daily reports, meeting reminders, in-app notifications - affiliate_tasks: target checking, commission calculation, weekly reports, AI outreach Phase 8 - Knowledge Base OS (8 files): - Services overview, Pricing policy, Channel policy, Meeting policy - Identity rules, Escalation rules, Hiring path, Internal SOPs https://claude.ai/code/session_01KnJgK7RwyeCvRZTRThHtfU
200 lines
6.8 KiB
Python
200 lines
6.8 KiB
Python
from app.workers.celery_app import celery_app
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from app.config import get_settings
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from app.database import SessionLocal
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from datetime import datetime, timezone, timedelta
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import logging
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logger = logging.getLogger(__name__)
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settings = get_settings()
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@celery_app.task(name="app.workers.notification_tasks.send_daily_report")
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def send_daily_report():
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"""Generate and send daily sales report to all active tenants."""
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from app.models.tenant import Tenant
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from app.models.lead import Lead
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from app.models.deal import Deal
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from app.models.user import User
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from sqlalchemy import select, func, and_
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logger.info("Generating daily reports...")
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with SessionLocal() as db:
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now = datetime.now(timezone.utc)
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today_start = now.replace(hour=0, minute=0, second=0, microsecond=0)
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yesterday_start = today_start - timedelta(days=1)
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tenants = db.execute(
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select(Tenant).where(Tenant.is_active == True)
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).scalars().all()
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reports_sent = 0
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for tenant in tenants:
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# Gather daily stats
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new_leads = db.execute(
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select(func.count(Lead.id)).where(
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and_(Lead.tenant_id == tenant.id, Lead.created_at >= today_start)
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)
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).scalar() or 0
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deals_closed = db.execute(
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select(func.count(Deal.id)).where(
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and_(
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Deal.tenant_id == tenant.id,
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Deal.stage == "closed_won",
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Deal.updated_at >= today_start,
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)
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)
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).scalar() or 0
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revenue_today = db.execute(
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select(func.sum(Deal.value)).where(
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and_(
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Deal.tenant_id == tenant.id,
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Deal.stage == "closed_won",
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Deal.updated_at >= today_start,
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)
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)
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).scalar() or 0
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total_pipeline = db.execute(
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select(func.sum(Deal.value)).where(
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and_(
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Deal.tenant_id == tenant.id,
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Deal.stage.notin_(["closed_won", "closed_lost"]),
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)
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)
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).scalar() or 0
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# Build report
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report = f"""📊 تقرير Dealix اليومي - {now.strftime('%Y-%m-%d')}
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🆕 عملاء جدد: {new_leads}
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✅ صفقات مغلقة: {deals_closed}
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💰 إيرادات اليوم: {revenue_today:,.0f} ر.س
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📈 إجمالي الفرص المفتوحة: {total_pipeline:,.0f} ر.س
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—
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Dealix - ديل اي اكس
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مبيعاتك تشتغل وأنت ترتاح"""
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# Send to tenant owner
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owner = db.execute(
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select(User).where(
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and_(User.tenant_id == tenant.id, User.role == "owner")
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)
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).scalars().first()
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if owner:
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# Send via WhatsApp if phone available
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if owner.phone:
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from app.workers.message_tasks import send_whatsapp
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send_whatsapp.delay(owner.phone, report, str(tenant.id))
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# Send via email
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if owner.email:
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from app.workers.message_tasks import send_email
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send_email.delay(
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owner.email,
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f"تقرير Dealix اليومي - {now.strftime('%Y-%m-%d')}",
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report,
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str(tenant.id),
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)
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# Create in-app notification
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notify_user.delay(str(owner.id), "التقرير اليومي", report, "daily_report")
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reports_sent += 1
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logger.info(f"Daily reports sent to {reports_sent} tenants")
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return {"reports_sent": reports_sent}
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@celery_app.task(name="app.workers.notification_tasks.notify_user")
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def notify_user(user_id: str, title: str, body: str, notification_type: str = "info"):
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"""Create an in-app notification for a user."""
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from app.models.notification import Notification
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logger.info(f"Creating notification for user {user_id}: {title}")
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with SessionLocal() as db:
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notification = Notification(
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user_id=user_id,
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type=notification_type,
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title=title,
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body=body,
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is_read=False,
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metadata={"created_by": "system"},
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)
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db.add(notification)
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db.commit()
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return {"status": "created", "user_id": user_id}
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@celery_app.task(name="app.workers.notification_tasks.send_meeting_reminder")
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def send_meeting_reminder():
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"""Send meeting reminders 1 hour before scheduled meetings."""
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from app.models.ai_conversation import AutoBooking
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from sqlalchemy import select, and_
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logger.info("Checking for upcoming meetings...")
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with SessionLocal() as db:
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now = datetime.now(timezone.utc)
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reminder_window_start = now + timedelta(minutes=55)
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reminder_window_end = now + timedelta(minutes=65)
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upcoming = db.execute(
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select(AutoBooking).where(
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and_(
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AutoBooking.status == "scheduled",
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AutoBooking.meeting_datetime >= reminder_window_start,
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AutoBooking.meeting_datetime <= reminder_window_end,
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)
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)
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).scalars().all()
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reminders_sent = 0
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for booking in upcoming:
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meeting_time = booking.meeting_datetime.strftime("%H:%M")
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meeting_date = booking.meeting_datetime.strftime("%Y-%m-%d")
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reminder = f"""⏰ تذكير باجتماع Dealix
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📅 التاريخ: {meeting_date}
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⏰ الوقت: {meeting_time}
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👤 العميل: {booking.client_name}
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🏢 الشركة: {booking.client_company or '-'}
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📱 الجوال: {booking.client_phone or '-'}
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نتطلع لمقابلتك!
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—
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Dealix"""
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# Notify assigned sales rep
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if booking.assigned_sales_rep:
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notify_user.delay(
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str(booking.assigned_sales_rep),
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f"تذكير: اجتماع مع {booking.client_name}",
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reminder,
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"meeting_reminder",
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)
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# Send WhatsApp reminder to client
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if booking.client_phone:
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from app.workers.message_tasks import send_whatsapp
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send_whatsapp.delay(
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booking.client_phone,
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f"مرحباً {booking.client_name}! تذكير باجتماعك مع فريق Dealix اليوم الساعة {meeting_time}. نتطلع لمقابلتك!",
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str(booking.tenant_id),
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)
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reminders_sent += 1
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logger.info(f"Sent {reminders_sent} meeting reminders")
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return {"reminders_sent": reminders_sent}
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