681 lines
25 KiB
Python
681 lines
25 KiB
Python
#!/usr/bin/env python3
|
|
# -*- coding: utf-8 -*-
|
|
"""
|
|
Demo Procurement Plans Seeding Script for Procurement Service
|
|
Creates realistic procurement plans for demo template tenants using pre-defined UUIDs
|
|
|
|
This script runs as a Kubernetes init job inside the procurement-service container.
|
|
It populates the template tenants with comprehensive procurement plans.
|
|
|
|
Usage:
|
|
python /app/scripts/demo/seed_demo_procurement_plans.py
|
|
|
|
Environment Variables Required:
|
|
PROCUREMENT_DATABASE_URL - PostgreSQL connection string for procurement database
|
|
DEMO_MODE - Set to 'production' for production seeding
|
|
LOG_LEVEL - Logging level (default: INFO)
|
|
|
|
Note: No database lookups needed - all IDs are pre-defined in the JSON file
|
|
"""
|
|
|
|
import asyncio
|
|
import uuid
|
|
import sys
|
|
import os
|
|
import json
|
|
from datetime import datetime, timezone, timedelta, date
|
|
from pathlib import Path
|
|
import random
|
|
from decimal import Decimal
|
|
|
|
# Add app to path
|
|
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
|
|
|
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
|
|
from sqlalchemy.orm import sessionmaker
|
|
from sqlalchemy import select, text
|
|
import structlog
|
|
|
|
from app.models.procurement_plan import ProcurementPlan, ProcurementRequirement
|
|
|
|
# Add shared path for demo utilities
|
|
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent))
|
|
from shared.utils.demo_dates import BASE_REFERENCE_DATE
|
|
|
|
# Configure logging
|
|
structlog.configure(
|
|
processors=[
|
|
structlog.stdlib.add_log_level,
|
|
structlog.processors.TimeStamper(fmt="iso"),
|
|
structlog.dev.ConsoleRenderer()
|
|
]
|
|
)
|
|
|
|
logger = structlog.get_logger()
|
|
|
|
# Fixed Demo Tenant IDs (must match tenant service)
|
|
DEMO_TENANT_PROFESSIONAL = uuid.UUID("a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6") # Individual bakery
|
|
DEMO_TENANT_ENTERPRISE_CHAIN = uuid.UUID("c3d4e5f6-a7b8-49c0-d1e2-f3a4b5c6d7e8") # Enterprise parent (Obrador)
|
|
|
|
# Hardcoded SKU to Ingredient ID mapping (no database lookups needed!)
|
|
INGREDIENT_ID_MAP = {
|
|
"HAR-T55-001": "10000000-0000-0000-0000-000000000001",
|
|
"HAR-T65-002": "10000000-0000-0000-0000-000000000002",
|
|
"HAR-FUE-003": "10000000-0000-0000-0000-000000000003",
|
|
"HAR-INT-004": "10000000-0000-0000-0000-000000000004",
|
|
"HAR-CEN-005": "10000000-0000-0000-0000-000000000005",
|
|
"HAR-ESP-006": "10000000-0000-0000-0000-000000000006",
|
|
"LAC-MAN-001": "10000000-0000-0000-0000-000000000011",
|
|
"LAC-LEC-002": "10000000-0000-0000-0000-000000000012",
|
|
"LAC-NAT-003": "10000000-0000-0000-0000-000000000013",
|
|
"LAC-HUE-004": "10000000-0000-0000-0000-000000000014",
|
|
"LEV-FRE-001": "10000000-0000-0000-0000-000000000021",
|
|
"LEV-SEC-002": "10000000-0000-0000-0000-000000000022",
|
|
"BAS-SAL-001": "10000000-0000-0000-0000-000000000031",
|
|
"BAS-AZU-002": "10000000-0000-0000-0000-000000000032",
|
|
"ESP-CHO-001": "10000000-0000-0000-0000-000000000041",
|
|
"ESP-ALM-002": "10000000-0000-0000-0000-000000000042",
|
|
"ESP-VAI-004": "10000000-0000-0000-0000-000000000044",
|
|
"ESP-CRE-005": "10000000-0000-0000-0000-000000000045",
|
|
}
|
|
|
|
# Ingredient costs (for requirement generation)
|
|
INGREDIENT_COSTS = {
|
|
"HAR-T55-001": 0.85,
|
|
"HAR-T65-002": 0.95,
|
|
"HAR-FUE-003": 1.15,
|
|
"HAR-INT-004": 1.20,
|
|
"HAR-CEN-005": 1.30,
|
|
"HAR-ESP-006": 2.45,
|
|
"LAC-MAN-001": 6.50,
|
|
"LAC-LEC-002": 0.95,
|
|
"LAC-NAT-003": 3.20,
|
|
"LAC-HUE-004": 0.25,
|
|
"LEV-FRE-001": 4.80,
|
|
"LEV-SEC-002": 12.50,
|
|
"BAS-SAL-001": 0.60,
|
|
"BAS-AZU-002": 0.90,
|
|
"ESP-CHO-001": 15.50,
|
|
"ESP-ALM-002": 8.90,
|
|
"ESP-VAI-004": 3.50,
|
|
"ESP-CRE-005": 7.20,
|
|
}
|
|
|
|
|
|
def calculate_date_from_offset(offset_days: int) -> date:
|
|
"""Calculate a date based on offset from BASE_REFERENCE_DATE"""
|
|
return (BASE_REFERENCE_DATE + timedelta(days=offset_days)).date()
|
|
|
|
|
|
def calculate_datetime_from_offset(offset_days: int) -> datetime:
|
|
"""Calculate a datetime based on offset from BASE_REFERENCE_DATE"""
|
|
return BASE_REFERENCE_DATE + timedelta(days=offset_days)
|
|
|
|
|
|
def weighted_choice(choices: list) -> dict:
|
|
"""Make a weighted random choice from list of dicts with 'weight' key"""
|
|
total_weight = sum(c.get("weight", 1.0) for c in choices)
|
|
r = random.uniform(0, total_weight)
|
|
|
|
cumulative = 0
|
|
for choice in choices:
|
|
cumulative += choice.get("weight", 1.0)
|
|
if r <= cumulative:
|
|
return choice
|
|
|
|
return choices[-1]
|
|
|
|
|
|
def generate_plan_number(tenant_id: uuid.UUID, index: int, plan_type: str) -> str:
|
|
"""Generate a unique plan number"""
|
|
tenant_prefix = "SP" if tenant_id == DEMO_TENANT_PROFESSIONAL else "LE"
|
|
type_code = plan_type[0:3].upper()
|
|
return f"PROC-{tenant_prefix}-{type_code}-{BASE_REFERENCE_DATE.year}-{index:03d}"
|
|
|
|
|
|
async def generate_procurement_for_tenant(
|
|
db: AsyncSession,
|
|
tenant_id: uuid.UUID,
|
|
tenant_name: str,
|
|
business_model: str,
|
|
config: dict
|
|
) -> dict:
|
|
"""Generate procurement plans and requirements for a specific tenant"""
|
|
logger.info("─" * 80)
|
|
logger.info(f"Generating procurement data for: {tenant_name}")
|
|
logger.info(f"Tenant ID: {tenant_id}")
|
|
logger.info("─" * 80)
|
|
|
|
# Check if procurement plans already exist
|
|
result = await db.execute(
|
|
select(ProcurementPlan).where(ProcurementPlan.tenant_id == tenant_id).limit(1)
|
|
)
|
|
existing = result.scalar_one_or_none()
|
|
|
|
if existing:
|
|
logger.info(f" ⏭️ Procurement plans already exist for {tenant_name}, skipping seed")
|
|
return {
|
|
"tenant_id": str(tenant_id),
|
|
"plans_created": 0,
|
|
"requirements_created": 0,
|
|
"skipped": True
|
|
}
|
|
|
|
proc_config = config["procurement_config"]
|
|
total_plans = proc_config["plans_per_tenant"]
|
|
|
|
plans_created = 0
|
|
requirements_created = 0
|
|
|
|
for i in range(total_plans):
|
|
# Determine temporal distribution
|
|
rand_temporal = random.random()
|
|
cumulative = 0
|
|
temporal_category = None
|
|
|
|
for category, details in proc_config["temporal_distribution"].items():
|
|
cumulative += details["percentage"]
|
|
if rand_temporal <= cumulative:
|
|
temporal_category = details
|
|
break
|
|
|
|
if not temporal_category:
|
|
temporal_category = proc_config["temporal_distribution"]["completed"]
|
|
|
|
# Calculate plan date
|
|
offset_days = random.randint(
|
|
temporal_category["offset_days_min"],
|
|
temporal_category["offset_days_max"]
|
|
)
|
|
plan_date = calculate_date_from_offset(offset_days)
|
|
|
|
# Select status
|
|
status = random.choice(temporal_category["statuses"])
|
|
|
|
# Select plan type
|
|
plan_type_choice = weighted_choice(proc_config["plan_types"])
|
|
plan_type = plan_type_choice["type"]
|
|
|
|
# Select priority
|
|
priority_rand = random.random()
|
|
cumulative_priority = 0
|
|
priority = "normal"
|
|
for p, weight in proc_config["priorities"].items():
|
|
cumulative_priority += weight
|
|
if priority_rand <= cumulative_priority:
|
|
priority = p
|
|
break
|
|
|
|
# Select procurement strategy
|
|
strategy_choice = weighted_choice(proc_config["procurement_strategies"])
|
|
procurement_strategy = strategy_choice["strategy"]
|
|
|
|
# Select supply risk level
|
|
risk_rand = random.random()
|
|
cumulative_risk = 0
|
|
supply_risk_level = "low"
|
|
for risk, weight in proc_config["risk_levels"].items():
|
|
cumulative_risk += weight
|
|
if risk_rand <= cumulative_risk:
|
|
supply_risk_level = risk
|
|
break
|
|
|
|
# Calculate planning horizon
|
|
planning_horizon = proc_config["planning_horizon_days"][business_model]
|
|
|
|
# Calculate period dates
|
|
period_start = plan_date
|
|
period_end = plan_date + timedelta(days=planning_horizon)
|
|
|
|
# Generate plan number
|
|
plan_number = generate_plan_number(tenant_id, i + 1, plan_type)
|
|
|
|
# Calculate safety stock buffer
|
|
safety_stock_buffer = Decimal(str(random.uniform(
|
|
proc_config["safety_stock_percentage"]["min"],
|
|
proc_config["safety_stock_percentage"]["max"]
|
|
)))
|
|
|
|
# Calculate approval/execution dates based on status
|
|
approved_at = None
|
|
execution_started_at = None
|
|
execution_completed_at = None
|
|
approved_by = None
|
|
|
|
if status in ["approved", "in_execution", "completed"]:
|
|
approved_at = calculate_datetime_from_offset(offset_days - 1)
|
|
approved_by = uuid.uuid4() # Would be actual user ID
|
|
|
|
if status in ["in_execution", "completed"]:
|
|
execution_started_at = calculate_datetime_from_offset(offset_days)
|
|
|
|
if status == "completed":
|
|
execution_completed_at = calculate_datetime_from_offset(offset_days + planning_horizon)
|
|
|
|
# Calculate performance metrics for completed plans
|
|
fulfillment_rate = None
|
|
on_time_delivery_rate = None
|
|
cost_accuracy = None
|
|
quality_score = None
|
|
|
|
if status == "completed":
|
|
metrics = proc_config["performance_metrics"]
|
|
fulfillment_rate = Decimal(str(random.uniform(
|
|
metrics["fulfillment_rate"]["min"],
|
|
metrics["fulfillment_rate"]["max"]
|
|
)))
|
|
on_time_delivery_rate = Decimal(str(random.uniform(
|
|
metrics["on_time_delivery"]["min"],
|
|
metrics["on_time_delivery"]["max"]
|
|
)))
|
|
cost_accuracy = Decimal(str(random.uniform(
|
|
metrics["cost_accuracy"]["min"],
|
|
metrics["cost_accuracy"]["max"]
|
|
)))
|
|
quality_score = Decimal(str(random.uniform(
|
|
metrics["quality_score"]["min"],
|
|
metrics["quality_score"]["max"]
|
|
)))
|
|
|
|
# Create procurement plan
|
|
plan = ProcurementPlan(
|
|
id=uuid.uuid4(),
|
|
tenant_id=tenant_id,
|
|
plan_number=plan_number,
|
|
plan_date=plan_date,
|
|
plan_period_start=period_start,
|
|
plan_period_end=period_end,
|
|
planning_horizon_days=planning_horizon,
|
|
status=status,
|
|
plan_type=plan_type,
|
|
priority=priority,
|
|
business_model=business_model,
|
|
procurement_strategy=procurement_strategy,
|
|
total_requirements=0, # Will update after adding requirements
|
|
total_estimated_cost=Decimal("0.00"), # Will calculate
|
|
total_approved_cost=Decimal("0.00"),
|
|
safety_stock_buffer=safety_stock_buffer,
|
|
supply_risk_level=supply_risk_level,
|
|
demand_forecast_confidence=Decimal(str(random.uniform(7.0, 9.5))),
|
|
approved_at=approved_at,
|
|
approved_by=approved_by,
|
|
execution_started_at=execution_started_at,
|
|
execution_completed_at=execution_completed_at,
|
|
fulfillment_rate=fulfillment_rate,
|
|
on_time_delivery_rate=on_time_delivery_rate,
|
|
cost_accuracy=cost_accuracy,
|
|
quality_score=quality_score,
|
|
created_at=calculate_datetime_from_offset(offset_days - 2),
|
|
updated_at=calculate_datetime_from_offset(offset_days)
|
|
)
|
|
|
|
db.add(plan)
|
|
await db.flush() # Get plan ID
|
|
|
|
# Generate requirements for this plan
|
|
num_requirements = random.randint(
|
|
proc_config["requirements_per_plan"]["min"],
|
|
proc_config["requirements_per_plan"]["max"]
|
|
)
|
|
|
|
# Select random ingredients
|
|
selected_ingredients = random.sample(
|
|
list(INGREDIENT_ID_MAP.keys()),
|
|
min(num_requirements, len(INGREDIENT_ID_MAP))
|
|
)
|
|
|
|
total_estimated_cost = Decimal("0.00")
|
|
|
|
for req_num, ingredient_sku in enumerate(selected_ingredients, 1):
|
|
# Get ingredient ID from hardcoded mapping
|
|
ingredient_id_str = INGREDIENT_ID_MAP.get(ingredient_sku)
|
|
if not ingredient_id_str:
|
|
logger.warning(f" ⚠️ Ingredient SKU not in mapping: {ingredient_sku}")
|
|
continue
|
|
|
|
# Generate tenant-specific ingredient ID
|
|
base_ingredient_id = uuid.UUID(ingredient_id_str)
|
|
tenant_int = int(tenant_id.hex, 16)
|
|
ingredient_id = uuid.UUID(int=tenant_int ^ int(base_ingredient_id.hex, 16))
|
|
|
|
# Get quantity range for category
|
|
category = ingredient_sku.split("-")[0] # HAR, LAC, LEV, BAS, ESP
|
|
cantidad_range = proc_config["quantity_ranges"].get(
|
|
category,
|
|
{"min": 50.0, "max": 200.0}
|
|
)
|
|
|
|
# Calculate required quantity
|
|
required_quantity = Decimal(str(random.uniform(
|
|
cantidad_range["min"],
|
|
cantidad_range["max"]
|
|
)))
|
|
|
|
# Calculate safety stock
|
|
safety_stock_quantity = required_quantity * (safety_stock_buffer / 100)
|
|
|
|
# Total quantity needed
|
|
total_quantity_needed = required_quantity + safety_stock_quantity
|
|
|
|
# Current stock simulation
|
|
current_stock_level = required_quantity * Decimal(str(random.uniform(0.1, 0.4)))
|
|
reserved_stock = current_stock_level * Decimal(str(random.uniform(0.0, 0.3)))
|
|
available_stock = current_stock_level - reserved_stock
|
|
|
|
# Net requirement
|
|
net_requirement = total_quantity_needed - available_stock
|
|
|
|
# Demand breakdown
|
|
order_demand = required_quantity * Decimal(str(random.uniform(0.5, 0.7)))
|
|
production_demand = required_quantity * Decimal(str(random.uniform(0.2, 0.4)))
|
|
forecast_demand = required_quantity * Decimal(str(random.uniform(0.05, 0.15)))
|
|
buffer_demand = safety_stock_quantity
|
|
|
|
# Pricing
|
|
estimated_unit_cost = Decimal(str(INGREDIENT_COSTS.get(ingredient_sku, 1.0))) * Decimal(str(random.uniform(0.95, 1.05)))
|
|
estimated_total_cost = estimated_unit_cost * net_requirement
|
|
|
|
# Timing
|
|
lead_time_days = random.randint(1, 5)
|
|
required_by_date = period_start + timedelta(days=random.randint(3, planning_horizon - 2))
|
|
lead_time_buffer_days = random.randint(1, 2)
|
|
suggested_order_date = required_by_date - timedelta(days=lead_time_days + lead_time_buffer_days)
|
|
latest_order_date = required_by_date - timedelta(days=lead_time_days)
|
|
|
|
# Requirement status based on plan status
|
|
if status == "draft":
|
|
req_status = "pending"
|
|
elif status == "pending_approval":
|
|
req_status = "pending"
|
|
elif status == "approved":
|
|
req_status = "approved"
|
|
elif status == "in_execution":
|
|
req_status = random.choice(["ordered", "partially_received"])
|
|
elif status == "completed":
|
|
req_status = "received"
|
|
else:
|
|
req_status = "pending"
|
|
|
|
# Requirement priority
|
|
if priority == "critical":
|
|
req_priority = "critical"
|
|
elif priority == "high":
|
|
req_priority = random.choice(["high", "critical"])
|
|
else:
|
|
req_priority = random.choice(["normal", "high"])
|
|
|
|
# Risk level
|
|
if supply_risk_level == "critical":
|
|
req_risk_level = random.choice(["high", "critical"])
|
|
elif supply_risk_level == "high":
|
|
req_risk_level = random.choice(["medium", "high"])
|
|
else:
|
|
req_risk_level = "low"
|
|
|
|
# Create requirement
|
|
requirement = ProcurementRequirement(
|
|
id=uuid.uuid4(),
|
|
plan_id=plan.id,
|
|
requirement_number=f"{plan_number}-REQ-{req_num:03d}",
|
|
product_id=ingredient_id,
|
|
product_name=f"Ingrediente {ingredient_sku}",
|
|
product_sku=ingredient_sku,
|
|
product_category=category,
|
|
product_type="ingredient",
|
|
required_quantity=required_quantity,
|
|
unit_of_measure="kg",
|
|
safety_stock_quantity=safety_stock_quantity,
|
|
total_quantity_needed=total_quantity_needed,
|
|
current_stock_level=current_stock_level,
|
|
reserved_stock=reserved_stock,
|
|
available_stock=available_stock,
|
|
net_requirement=net_requirement,
|
|
order_demand=order_demand,
|
|
production_demand=production_demand,
|
|
forecast_demand=forecast_demand,
|
|
buffer_demand=buffer_demand,
|
|
supplier_lead_time_days=lead_time_days,
|
|
minimum_order_quantity=Decimal(str(random.choice([1, 5, 10, 25]))),
|
|
estimated_unit_cost=estimated_unit_cost,
|
|
estimated_total_cost=estimated_total_cost,
|
|
required_by_date=required_by_date,
|
|
lead_time_buffer_days=lead_time_buffer_days,
|
|
suggested_order_date=suggested_order_date,
|
|
latest_order_date=latest_order_date,
|
|
shelf_life_days=random.choice([30, 60, 90, 180, 365]),
|
|
status=req_status,
|
|
priority=req_priority,
|
|
risk_level=req_risk_level,
|
|
created_at=plan.created_at,
|
|
updated_at=plan.updated_at
|
|
)
|
|
|
|
db.add(requirement)
|
|
total_estimated_cost += estimated_total_cost
|
|
requirements_created += 1
|
|
|
|
# Update plan totals
|
|
plan.total_requirements = num_requirements
|
|
plan.total_estimated_cost = total_estimated_cost
|
|
if status in ["approved", "in_execution", "completed"]:
|
|
plan.total_approved_cost = total_estimated_cost * Decimal(str(random.uniform(0.95, 1.05)))
|
|
|
|
plans_created += 1
|
|
|
|
await db.commit()
|
|
logger.info(f" 📊 Successfully created {plans_created} plans with {requirements_created} requirements for {tenant_name}")
|
|
logger.info("")
|
|
|
|
return {
|
|
"tenant_id": str(tenant_id),
|
|
"plans_created": plans_created,
|
|
"requirements_created": requirements_created,
|
|
"skipped": False
|
|
}
|
|
|
|
|
|
async def seed_all(db: AsyncSession):
|
|
"""Seed all demo tenants with procurement data"""
|
|
logger.info("=" * 80)
|
|
logger.info("🚚 Starting Demo Procurement Plans Seeding")
|
|
logger.info("=" * 80)
|
|
|
|
# Load configuration
|
|
config = {
|
|
"procurement_config": {
|
|
"plans_per_tenant": 8,
|
|
"requirements_per_plan": {"min": 3, "max": 8},
|
|
"planning_horizon_days": {
|
|
"individual_bakery": 30,
|
|
"central_bakery": 45,
|
|
"enterprise_chain": 45 # Enterprise parent uses same horizon as central bakery
|
|
},
|
|
"safety_stock_percentage": {"min": 15.0, "max": 25.0},
|
|
"temporal_distribution": {
|
|
"completed": {
|
|
"percentage": 0.3,
|
|
"offset_days_min": -15,
|
|
"offset_days_max": -1,
|
|
"statuses": ["completed"]
|
|
},
|
|
"in_execution": {
|
|
"percentage": 0.2,
|
|
"offset_days_min": -5,
|
|
"offset_days_max": 2,
|
|
"statuses": ["in_execution", "partially_received"]
|
|
},
|
|
"approved": {
|
|
"percentage": 0.2,
|
|
"offset_days_min": -2,
|
|
"offset_days_max": 1,
|
|
"statuses": ["approved"]
|
|
},
|
|
"pending_approval": {
|
|
"percentage": 0.15,
|
|
"offset_days_min": 0,
|
|
"offset_days_max": 3,
|
|
"statuses": ["pending_approval"]
|
|
},
|
|
"draft": {
|
|
"percentage": 0.15,
|
|
"offset_days_min": 0,
|
|
"offset_days_max": 5,
|
|
"statuses": ["draft"]
|
|
}
|
|
},
|
|
"plan_types": [
|
|
{"type": "regular", "weight": 0.7},
|
|
{"type": "seasonal", "weight": 0.2},
|
|
{"type": "emergency", "weight": 0.1}
|
|
],
|
|
"priorities": {
|
|
"normal": 0.7,
|
|
"high": 0.25,
|
|
"critical": 0.05
|
|
},
|
|
"procurement_strategies": [
|
|
{"strategy": "just_in_time", "weight": 0.6},
|
|
{"strategy": "bulk", "weight": 0.3},
|
|
{"strategy": "mixed", "weight": 0.1}
|
|
],
|
|
"risk_levels": {
|
|
"low": 0.6,
|
|
"medium": 0.3,
|
|
"high": 0.08,
|
|
"critical": 0.02
|
|
},
|
|
"quantity_ranges": {
|
|
"HAR": {"min": 50.0, "max": 500.0}, # Harinas
|
|
"LAC": {"min": 20.0, "max": 200.0}, # Lácteos
|
|
"LEV": {"min": 5.0, "max": 50.0}, # Levaduras
|
|
"BAS": {"min": 10.0, "max": 100.0}, # Básicos
|
|
"ESP": {"min": 1.0, "max": 20.0} # Especiales
|
|
},
|
|
"performance_metrics": {
|
|
"fulfillment_rate": {"min": 85.0, "max": 98.0},
|
|
"on_time_delivery": {"min": 80.0, "max": 95.0},
|
|
"cost_accuracy": {"min": 90.0, "max": 99.0},
|
|
"quality_score": {"min": 7.0, "max": 9.5}
|
|
}
|
|
}
|
|
}
|
|
|
|
results = []
|
|
|
|
# Seed Professional Bakery (single location)
|
|
result_professional = await generate_procurement_for_tenant(
|
|
db,
|
|
DEMO_TENANT_PROFESSIONAL,
|
|
"Panadería Artesana Madrid (Professional)",
|
|
"individual_bakery",
|
|
config
|
|
)
|
|
results.append(result_professional)
|
|
|
|
# Seed Enterprise Parent (central production - Obrador) with scaled procurement
|
|
result_enterprise_parent = await generate_procurement_for_tenant(
|
|
db,
|
|
DEMO_TENANT_ENTERPRISE_CHAIN,
|
|
"Panadería Central - Obrador Madrid (Enterprise Parent)",
|
|
"enterprise_chain",
|
|
config
|
|
)
|
|
results.append(result_enterprise_parent)
|
|
|
|
total_plans = sum(r["plans_created"] for r in results)
|
|
total_requirements = sum(r["requirements_created"] for r in results)
|
|
|
|
logger.info("=" * 80)
|
|
logger.info("✅ Demo Procurement Plans Seeding Completed")
|
|
logger.info("=" * 80)
|
|
|
|
return {
|
|
"results": results,
|
|
"total_plans_created": total_plans,
|
|
"total_requirements_created": total_requirements,
|
|
"status": "completed"
|
|
}
|
|
|
|
|
|
async def main():
|
|
"""Main execution function"""
|
|
logger.info("Demo Procurement Plans Seeding Script Starting")
|
|
logger.info("Mode: %s", os.getenv("DEMO_MODE", "development"))
|
|
logger.info("Log Level: %s", os.getenv("LOG_LEVEL", "INFO"))
|
|
|
|
# Get database URL from environment
|
|
database_url = os.getenv("PROCUREMENT_DATABASE_URL") or os.getenv("DATABASE_URL")
|
|
if not database_url:
|
|
logger.error("❌ PROCUREMENT_DATABASE_URL or DATABASE_URL environment variable must be set")
|
|
return 1
|
|
|
|
# Ensure asyncpg driver
|
|
if database_url.startswith("postgresql://"):
|
|
database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1)
|
|
|
|
logger.info("Connecting to procurement database")
|
|
|
|
# Create async engine
|
|
engine = create_async_engine(
|
|
database_url,
|
|
echo=False,
|
|
pool_pre_ping=True,
|
|
pool_size=5,
|
|
max_overflow=10
|
|
)
|
|
|
|
async_session = sessionmaker(
|
|
engine,
|
|
class_=AsyncSession,
|
|
expire_on_commit=False
|
|
)
|
|
|
|
try:
|
|
async with async_session() as session:
|
|
result = await seed_all(session)
|
|
|
|
logger.info("")
|
|
logger.info("📊 Seeding Summary:")
|
|
logger.info(f" ✅ Total Plans: {result['total_plans_created']}")
|
|
logger.info(f" ✅ Total Requirements: {result['total_requirements_created']}")
|
|
logger.info(f" ✅ Status: {result['status']}")
|
|
logger.info("")
|
|
|
|
# Print per-tenant details
|
|
for tenant_result in result["results"]:
|
|
tenant_id = tenant_result["tenant_id"]
|
|
plans = tenant_result["plans_created"]
|
|
requirements = tenant_result["requirements_created"]
|
|
skipped = tenant_result.get("skipped", False)
|
|
status = "SKIPPED (already exists)" if skipped else f"CREATED {plans} plans, {requirements} requirements"
|
|
logger.info(f" Tenant {tenant_id}: {status}")
|
|
|
|
logger.info("")
|
|
logger.info("🎉 Success! Procurement plans are ready for demo sessions.")
|
|
logger.info("")
|
|
logger.info("Plans created:")
|
|
logger.info(" • 8 Regular procurement plans per tenant")
|
|
logger.info(" • 3-8 Requirements per plan")
|
|
logger.info(" • Various statuses: draft, pending, approved, in execution, completed")
|
|
logger.info(" • Different priorities and risk levels")
|
|
logger.info("")
|
|
logger.info("Note: All IDs are pre-defined and hardcoded for cross-service consistency")
|
|
logger.info("")
|
|
|
|
return 0
|
|
|
|
except Exception as e:
|
|
logger.error("=" * 80)
|
|
logger.error("❌ Demo Procurement Plans Seeding Failed")
|
|
logger.error("=" * 80)
|
|
logger.error("Error: %s", str(e))
|
|
logger.error("", exc_info=True)
|
|
return 1
|
|
finally:
|
|
await engine.dispose()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
exit_code = asyncio.run(main())
|
|
sys.exit(exit_code)
|