531 lines
19 KiB
Python
531 lines
19 KiB
Python
"""
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Internal Demo Cloning API for Inventory Service
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Service-to-service endpoint for cloning inventory data with date adjustment
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"""
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from fastapi import APIRouter, Depends, HTTPException, Header
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select, func
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import structlog
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import uuid
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from datetime import datetime, timezone
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from typing import Optional
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import os
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import sys
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from pathlib import Path
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# Add shared path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
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from app.core.database import get_db
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from app.models.inventory import Ingredient, Stock, StockMovement
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from shared.utils.demo_dates import adjust_date_for_demo, BASE_REFERENCE_DATE
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logger = structlog.get_logger()
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router = APIRouter(prefix="/internal/demo", tags=["internal"])
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# Base demo tenant IDs
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DEMO_TENANT_PROFESSIONAL = "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6"
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def verify_internal_api_key(x_internal_api_key: Optional[str] = Header(None)):
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"""Verify internal API key for service-to-service communication"""
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from app.core.config import settings
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if x_internal_api_key != settings.INTERNAL_API_KEY:
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logger.warning("Unauthorized internal API access attempted")
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raise HTTPException(status_code=403, detail="Invalid internal API key")
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return True
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@router.post("/clone")
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async def clone_demo_data(
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base_tenant_id: str,
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virtual_tenant_id: str,
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demo_account_type: str,
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session_id: Optional[str] = None,
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session_created_at: Optional[str] = None,
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db: AsyncSession = Depends(get_db),
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_: bool = Depends(verify_internal_api_key)
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):
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"""
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Clone inventory service data for a virtual demo tenant
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Clones:
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- Ingredients from template tenant
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- Stock batches with date-adjusted expiration dates
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- Generates inventory alerts based on stock status
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Args:
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base_tenant_id: Template tenant UUID to clone from
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virtual_tenant_id: Target virtual tenant UUID
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demo_account_type: Type of demo account
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session_id: Originating session ID for tracing
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session_created_at: ISO timestamp when demo session was created (for date adjustment)
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Returns:
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Cloning status and record counts
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"""
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start_time = datetime.now(timezone.utc)
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# Parse session_created_at or fallback to now
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if session_created_at:
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try:
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session_time = datetime.fromisoformat(session_created_at.replace('Z', '+00:00'))
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except (ValueError, AttributeError) as e:
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logger.warning(
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"Invalid session_created_at format, using current time",
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session_created_at=session_created_at,
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error=str(e)
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)
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session_time = datetime.now(timezone.utc)
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else:
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logger.warning("session_created_at not provided, using current time")
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session_time = datetime.now(timezone.utc)
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logger.info(
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"Starting inventory data cloning with date adjustment",
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base_tenant_id=base_tenant_id,
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virtual_tenant_id=virtual_tenant_id,
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demo_account_type=demo_account_type,
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session_id=session_id,
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session_time=session_time.isoformat()
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)
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try:
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# Validate UUIDs
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base_uuid = uuid.UUID(base_tenant_id)
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virtual_uuid = uuid.UUID(virtual_tenant_id)
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# Check if data already exists for this virtual tenant (idempotency)
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existing_check = await db.execute(
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select(Ingredient).where(Ingredient.tenant_id == virtual_uuid).limit(1)
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)
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existing_ingredient = existing_check.scalars().first()
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if existing_ingredient:
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logger.warning(
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"Data already exists for virtual tenant - cleaning before re-clone",
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virtual_tenant_id=virtual_tenant_id,
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base_tenant_id=base_tenant_id
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)
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# Clean up existing data first to ensure fresh clone
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from sqlalchemy import delete
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await db.execute(
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delete(StockMovement).where(StockMovement.tenant_id == virtual_uuid)
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)
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await db.execute(
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delete(Stock).where(Stock.tenant_id == virtual_uuid)
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)
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await db.execute(
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delete(Ingredient).where(Ingredient.tenant_id == virtual_uuid)
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)
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await db.commit()
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logger.info(
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"Existing data cleaned, proceeding with fresh clone",
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virtual_tenant_id=virtual_tenant_id
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)
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# Track cloning statistics
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stats = {
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"ingredients": 0,
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"stock_batches": 0,
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"stock_movements": 0,
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"alerts_generated": 0
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}
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# Mapping from base ingredient ID to virtual ingredient ID
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ingredient_id_mapping = {}
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# Mapping from base stock ID to virtual stock ID
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stock_id_mapping = {}
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# Clone Ingredients
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result = await db.execute(
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select(Ingredient).where(Ingredient.tenant_id == base_uuid)
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)
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base_ingredients = result.scalars().all()
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logger.info(
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"Found ingredients to clone",
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count=len(base_ingredients),
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base_tenant=str(base_uuid)
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)
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for ingredient in base_ingredients:
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# Transform ingredient ID using XOR to ensure consistency across services
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# This formula matches the suppliers service ID transformation
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# Formula: virtual_ingredient_id = virtual_tenant_id XOR base_ingredient_id
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base_ingredient_int = int(ingredient.id.hex, 16)
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virtual_tenant_int = int(virtual_uuid.hex, 16)
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base_tenant_int = int(base_uuid.hex, 16)
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# Reverse the original XOR to get the base ingredient ID
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# base_ingredient = base_tenant ^ base_ingredient_id
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# So: base_ingredient_id = base_tenant ^ base_ingredient
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base_ingredient_id_int = base_tenant_int ^ base_ingredient_int
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# Now apply virtual tenant XOR to get the new ingredient ID
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new_ingredient_id = uuid.UUID(int=virtual_tenant_int ^ base_ingredient_id_int)
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logger.debug(
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"Transforming ingredient ID using XOR",
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base_ingredient_id=str(ingredient.id),
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new_ingredient_id=str(new_ingredient_id),
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ingredient_sku=ingredient.sku,
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ingredient_name=ingredient.name
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)
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new_ingredient = Ingredient(
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id=new_ingredient_id,
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tenant_id=virtual_uuid,
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name=ingredient.name,
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sku=ingredient.sku,
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barcode=ingredient.barcode,
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product_type=ingredient.product_type,
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ingredient_category=ingredient.ingredient_category,
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product_category=ingredient.product_category,
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subcategory=ingredient.subcategory,
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description=ingredient.description,
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brand=ingredient.brand,
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unit_of_measure=ingredient.unit_of_measure,
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package_size=ingredient.package_size,
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average_cost=ingredient.average_cost,
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last_purchase_price=ingredient.last_purchase_price,
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standard_cost=ingredient.standard_cost,
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low_stock_threshold=ingredient.low_stock_threshold,
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reorder_point=ingredient.reorder_point,
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reorder_quantity=ingredient.reorder_quantity,
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max_stock_level=ingredient.max_stock_level,
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shelf_life_days=ingredient.shelf_life_days,
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display_life_hours=ingredient.display_life_hours,
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best_before_hours=ingredient.best_before_hours,
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storage_instructions=ingredient.storage_instructions,
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is_perishable=ingredient.is_perishable,
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is_active=ingredient.is_active,
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allergen_info=ingredient.allergen_info,
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nutritional_info=ingredient.nutritional_info
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)
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db.add(new_ingredient)
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stats["ingredients"] += 1
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# Store mapping for stock cloning
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ingredient_id_mapping[ingredient.id] = new_ingredient_id
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await db.flush() # Ensure ingredients are persisted before stock
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# Clone Stock batches with date adjustment
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result = await db.execute(
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select(Stock).where(Stock.tenant_id == base_uuid)
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)
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base_stocks = result.scalars().all()
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logger.info(
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"Found stock batches to clone",
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count=len(base_stocks),
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base_tenant=str(base_uuid)
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)
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for stock in base_stocks:
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# Map ingredient ID
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new_ingredient_id = ingredient_id_mapping.get(stock.ingredient_id)
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if not new_ingredient_id:
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logger.warning(
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"Stock references non-existent ingredient, skipping",
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stock_id=str(stock.id),
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ingredient_id=str(stock.ingredient_id)
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)
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continue
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# Adjust dates relative to session creation
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adjusted_expiration = adjust_date_for_demo(
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stock.expiration_date,
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session_time,
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BASE_REFERENCE_DATE
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)
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adjusted_received = adjust_date_for_demo(
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stock.received_date,
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session_time,
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BASE_REFERENCE_DATE
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)
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adjusted_best_before = adjust_date_for_demo(
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stock.best_before_date,
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session_time,
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BASE_REFERENCE_DATE
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)
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adjusted_created = adjust_date_for_demo(
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stock.created_at,
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session_time,
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BASE_REFERENCE_DATE
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) or session_time
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# Create new stock batch with new ID
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new_stock_id = uuid.uuid4()
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new_stock = Stock(
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id=new_stock_id,
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tenant_id=virtual_uuid,
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ingredient_id=new_ingredient_id,
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supplier_id=stock.supplier_id,
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batch_number=stock.batch_number,
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lot_number=stock.lot_number,
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supplier_batch_ref=stock.supplier_batch_ref,
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production_stage=stock.production_stage,
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current_quantity=stock.current_quantity,
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reserved_quantity=stock.reserved_quantity,
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available_quantity=stock.available_quantity,
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received_date=adjusted_received,
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expiration_date=adjusted_expiration,
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best_before_date=adjusted_best_before,
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unit_cost=stock.unit_cost,
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total_cost=stock.total_cost,
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storage_location=stock.storage_location,
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warehouse_zone=stock.warehouse_zone,
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shelf_position=stock.shelf_position,
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requires_refrigeration=stock.requires_refrigeration,
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requires_freezing=stock.requires_freezing,
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storage_temperature_min=stock.storage_temperature_min,
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storage_temperature_max=stock.storage_temperature_max,
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storage_humidity_max=stock.storage_humidity_max,
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shelf_life_days=stock.shelf_life_days,
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storage_instructions=stock.storage_instructions,
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is_available=stock.is_available,
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is_expired=stock.is_expired,
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quality_status=stock.quality_status,
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created_at=adjusted_created,
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updated_at=session_time
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)
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db.add(new_stock)
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stats["stock_batches"] += 1
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# Store mapping for movement cloning
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stock_id_mapping[stock.id] = new_stock_id
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await db.flush() # Ensure stock is persisted before movements
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# Clone Stock Movements with date adjustment
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result = await db.execute(
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select(StockMovement).where(StockMovement.tenant_id == base_uuid)
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)
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base_movements = result.scalars().all()
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logger.info(
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"Found stock movements to clone",
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count=len(base_movements),
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base_tenant=str(base_uuid)
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)
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for movement in base_movements:
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# Map ingredient ID and stock ID
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new_ingredient_id = ingredient_id_mapping.get(movement.ingredient_id)
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new_stock_id = stock_id_mapping.get(movement.stock_id) if movement.stock_id else None
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if not new_ingredient_id:
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logger.warning(
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"Movement references non-existent ingredient, skipping",
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movement_id=str(movement.id),
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ingredient_id=str(movement.ingredient_id)
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)
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continue
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# Adjust movement date relative to session creation
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adjusted_movement_date = adjust_date_for_demo(
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movement.movement_date,
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session_time,
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BASE_REFERENCE_DATE
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) or session_time
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adjusted_created_at = adjust_date_for_demo(
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movement.created_at,
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session_time,
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BASE_REFERENCE_DATE
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) or session_time
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# Create new stock movement
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new_movement = StockMovement(
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id=uuid.uuid4(),
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tenant_id=virtual_uuid,
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ingredient_id=new_ingredient_id,
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stock_id=new_stock_id,
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movement_type=movement.movement_type,
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quantity=movement.quantity,
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unit_cost=movement.unit_cost,
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total_cost=movement.total_cost,
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quantity_before=movement.quantity_before,
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quantity_after=movement.quantity_after,
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reference_number=movement.reference_number,
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supplier_id=movement.supplier_id,
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notes=movement.notes,
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reason_code=movement.reason_code,
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movement_date=adjusted_movement_date,
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created_at=adjusted_created_at,
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created_by=movement.created_by
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)
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db.add(new_movement)
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stats["stock_movements"] += 1
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# Commit all changes
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await db.commit()
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# NOTE: Alert generation removed - alerts are now generated automatically by the
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# inventory_alert_service which runs scheduled checks every 2-5 minutes.
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# This eliminates duplicate alerts and provides a more realistic demo experience.
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stats["alerts_generated"] = 0
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total_records = stats["ingredients"] + stats["stock_batches"]
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duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
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logger.info(
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"Inventory data cloning completed with date adjustment",
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virtual_tenant_id=virtual_tenant_id,
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total_records=total_records,
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stats=stats,
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duration_ms=duration_ms
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)
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return {
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"service": "inventory",
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"status": "completed",
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"records_cloned": total_records,
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"duration_ms": duration_ms,
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"details": stats
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}
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except ValueError as e:
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logger.error("Invalid UUID format", error=str(e))
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raise HTTPException(status_code=400, detail=f"Invalid UUID: {str(e)}")
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except Exception as e:
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logger.error(
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"Failed to clone inventory data",
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error=str(e),
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virtual_tenant_id=virtual_tenant_id,
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exc_info=True
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)
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# Rollback on error
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await db.rollback()
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return {
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"service": "inventory",
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"status": "failed",
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"records_cloned": 0,
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"duration_ms": int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000),
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"error": str(e)
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}
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|
|
|
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@router.get("/clone/health")
|
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async def clone_health_check(_: bool = Depends(verify_internal_api_key)):
|
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"""
|
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Health check for internal cloning endpoint
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Used by orchestrator to verify service availability
|
|
"""
|
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return {
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"service": "inventory",
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"clone_endpoint": "available",
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"version": "2.0.0"
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}
|
|
|
|
|
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@router.delete("/tenant/{virtual_tenant_id}")
|
|
async def delete_demo_data(
|
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virtual_tenant_id: str,
|
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db: AsyncSession = Depends(get_db),
|
|
_: bool = Depends(verify_internal_api_key)
|
|
):
|
|
"""
|
|
Delete all inventory data for a virtual demo tenant
|
|
|
|
Called by demo session cleanup service to remove ephemeral data
|
|
when demo sessions expire or are destroyed.
|
|
|
|
Args:
|
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virtual_tenant_id: Virtual tenant UUID to delete
|
|
|
|
Returns:
|
|
Deletion status and count of records deleted
|
|
"""
|
|
from sqlalchemy import delete
|
|
|
|
logger.info(
|
|
"Deleting inventory data for virtual tenant",
|
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virtual_tenant_id=virtual_tenant_id
|
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)
|
|
|
|
start_time = datetime.now(timezone.utc)
|
|
|
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try:
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virtual_uuid = uuid.UUID(virtual_tenant_id)
|
|
|
|
# Count records before deletion for reporting
|
|
stock_count = await db.scalar(
|
|
select(func.count(Stock.id)).where(Stock.tenant_id == virtual_uuid)
|
|
)
|
|
ingredient_count = await db.scalar(
|
|
select(func.count(Ingredient.id)).where(Ingredient.tenant_id == virtual_uuid)
|
|
)
|
|
movement_count = await db.scalar(
|
|
select(func.count(StockMovement.id)).where(StockMovement.tenant_id == virtual_uuid)
|
|
)
|
|
|
|
# Delete in correct order to respect foreign key constraints
|
|
# 1. Delete StockMovements (references Stock)
|
|
await db.execute(
|
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delete(StockMovement).where(StockMovement.tenant_id == virtual_uuid)
|
|
)
|
|
|
|
# 2. Delete Stock batches (references Ingredient)
|
|
await db.execute(
|
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delete(Stock).where(Stock.tenant_id == virtual_uuid)
|
|
)
|
|
|
|
# 3. Delete Ingredients
|
|
await db.execute(
|
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delete(Ingredient).where(Ingredient.tenant_id == virtual_uuid)
|
|
)
|
|
|
|
await db.commit()
|
|
|
|
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
|
|
|
|
logger.info(
|
|
"Inventory data deleted successfully",
|
|
virtual_tenant_id=virtual_tenant_id,
|
|
stocks_deleted=stock_count,
|
|
ingredients_deleted=ingredient_count,
|
|
movements_deleted=movement_count,
|
|
duration_ms=duration_ms
|
|
)
|
|
|
|
return {
|
|
"service": "inventory",
|
|
"status": "deleted",
|
|
"virtual_tenant_id": virtual_tenant_id,
|
|
"records_deleted": {
|
|
"stock_batches": stock_count,
|
|
"ingredients": ingredient_count,
|
|
"stock_movements": movement_count,
|
|
"total": stock_count + ingredient_count + movement_count
|
|
},
|
|
"duration_ms": duration_ms
|
|
}
|
|
|
|
except ValueError as e:
|
|
logger.error("Invalid UUID format", error=str(e))
|
|
raise HTTPException(status_code=400, detail=f"Invalid UUID: {str(e)}")
|
|
|
|
except Exception as e:
|
|
logger.error(
|
|
"Failed to delete inventory data",
|
|
virtual_tenant_id=virtual_tenant_id,
|
|
error=str(e),
|
|
exc_info=True
|
|
)
|
|
await db.rollback()
|
|
raise HTTPException(
|
|
status_code=500,
|
|
detail=f"Failed to delete inventory data: {str(e)}"
|
|
)
|