Files
bakery-ia/scripts/demo/seed_demo_tenants.py
2025-10-03 14:09:34 +02:00

145 lines
5.0 KiB
Python

#!/usr/bin/env python3
"""
Seed Demo Tenants
Creates base demo tenant templates with Spanish data
"""
import asyncio
import sys
from pathlib import Path
project_root = Path(__file__).parent.parent.parent
sys.path.insert(0, str(project_root))
import os
os.environ.setdefault("TENANT_DATABASE_URL", os.getenv("TENANT_DATABASE_URL"))
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
from sqlalchemy import select
import structlog
import uuid
from datetime import datetime, timezone
logger = structlog.get_logger()
# Demo tenant configurations
DEMO_TENANTS = [
{
"id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
"name": "Panadería San Pablo - Demo",
"subdomain": "demo-sanpablo",
"business_type": "bakery",
"business_model": "individual_bakery",
"owner_id": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6", # María García
"address": "Calle Mayor, 15",
"city": "Madrid",
"postal_code": "28013",
"latitude": 40.4168,
"longitude": -3.7038,
"phone": "+34 912 345 678",
"email": "contacto@panaderiasanpablo.com",
"subscription_tier": "professional",
"is_active": True,
"is_demo": True,
"is_demo_template": True,
"ml_model_trained": True,
},
{
"id": "b2c3d4e5-f6a7-48b9-c0d1-e2f3a4b5c6d7",
"name": "Panadería La Espiga - Demo",
"subdomain": "demo-laespiga",
"business_type": "bakery",
"business_model": "central_baker_satellite",
"owner_id": "d2e3f4a5-b6c7-48d9-e0f1-a2b3c4d5e6f7", # Carlos Martínez
"address": "Avenida de la Constitución, 42",
"city": "Barcelona",
"postal_code": "08001",
"latitude": 41.3851,
"longitude": 2.1734,
"phone": "+34 913 456 789",
"email": "contacto@panaderialaespiga.com",
"subscription_tier": "enterprise",
"is_active": True,
"is_demo": True,
"is_demo_template": True,
"ml_model_trained": True,
}
]
async def seed_demo_tenants():
"""Seed demo tenants into tenant database"""
database_url = os.getenv("TENANT_DATABASE_URL")
if not database_url:
logger.error("TENANT_DATABASE_URL environment variable not set")
return False
logger.info("Connecting to tenant database", url=database_url.split("@")[-1])
engine = create_async_engine(database_url, echo=False)
session_factory = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
try:
async with session_factory() as session:
try:
from app.models.tenants import Tenant
except ImportError:
from services.tenant.app.models.tenants import Tenant
for tenant_data in DEMO_TENANTS:
# Check if tenant already exists
result = await session.execute(
select(Tenant).where(Tenant.subdomain == tenant_data["subdomain"])
)
existing_tenant = result.scalar_one_or_none()
if existing_tenant:
logger.info(f"Demo tenant already exists: {tenant_data['subdomain']}")
continue
# Create new demo tenant
tenant = Tenant(
id=uuid.UUID(tenant_data["id"]),
name=tenant_data["name"],
subdomain=tenant_data["subdomain"],
business_type=tenant_data["business_type"],
business_model=tenant_data["business_model"],
owner_id=uuid.UUID(tenant_data["owner_id"]),
address=tenant_data["address"],
city=tenant_data["city"],
postal_code=tenant_data["postal_code"],
latitude=tenant_data.get("latitude"),
longitude=tenant_data.get("longitude"),
phone=tenant_data.get("phone"),
email=tenant_data.get("email"),
subscription_tier=tenant_data["subscription_tier"],
is_active=tenant_data["is_active"],
is_demo=tenant_data["is_demo"],
is_demo_template=tenant_data["is_demo_template"],
ml_model_trained=tenant_data.get("ml_model_trained", False),
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc)
)
session.add(tenant)
logger.info(f"Created demo tenant: {tenant_data['name']}")
await session.commit()
logger.info("Demo tenants seeded successfully")
return True
except Exception as e:
logger.error(f"Failed to seed demo tenants: {str(e)}")
import traceback
traceback.print_exc()
return False
finally:
await engine.dispose()
if __name__ == "__main__":
result = asyncio.run(seed_demo_tenants())
sys.exit(0 if result else 1)