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Full-stack AI-powered sales automation platform for Saudi SMEs: Backend (FastAPI + PostgreSQL): - Multi-tenant architecture with row-level isolation - JWT auth with RBAC (owner/manager/agent/admin) - Lead, Customer, Deal, Pipeline, Activity, Message, Proposal models - Dashboard analytics API (overview, pipeline, revenue) - WhatsApp Business API, Email (SMTP/SendGrid), SMS (Unifonic) integrations - Celery + Redis workers for automated follow-ups and scheduled messages - Property model for Real Estate module (Riyadh districts) - Hijri date utilities, Arabic/English localization Frontend (Next.js + Tailwind): - Professional Arabic RTL landing page with 10 sections - Brand identity: SalesMatic (سيلزماتك) with custom SVG logo - Color system: Trust Blue #0F4C81, Growth Teal #00BFA6, CTA Orange #FF6B35 - IBM Plex Sans Arabic + Inter typography - Responsive design, dark hero section, pricing table, FAQ Industry Templates: - Healthcare/Clinics: pipeline stages, WhatsApp message templates, auto-workflows - Real Estate Riyadh: 20 districts, property tours, payment plans, matching Infrastructure: - Docker Compose (PostgreSQL, Redis, Backend, Celery, Frontend, Nginx) - Nginx reverse proxy config - Makefile for common operations https://claude.ai/code/session_01LLR7jzpyNRwDA9kojtT3CW
28 lines
1.2 KiB
Python
28 lines
1.2 KiB
Python
from sqlalchemy import Column, String, Boolean, DateTime
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import relationship
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from datetime import datetime, timezone
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from app.models.base import BaseModel
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class Tenant(BaseModel):
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__tablename__ = "tenants"
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name = Column(String(255), nullable=False)
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name_ar = Column(String(255))
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slug = Column(String(100), unique=True, nullable=False, index=True)
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industry = Column(String(100))
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plan = Column(String(50), default="basic")
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logo_url = Column(String(500))
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phone = Column(String(20))
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email = Column(String(255))
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whatsapp_number = Column(String(20))
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settings = Column(JSONB, default=dict)
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is_active = Column(Boolean, default=True)
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updated_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc), onupdate=lambda: datetime.now(timezone.utc))
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users = relationship("User", back_populates="tenant", cascade="all, delete-orphan")
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leads = relationship("Lead", back_populates="tenant", cascade="all, delete-orphan")
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customers = relationship("Customer", back_populates="tenant", cascade="all, delete-orphan")
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deals = relationship("Deal", back_populates="tenant", cascade="all, delete-orphan")
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