434 lines
16 KiB
Python
434 lines
16 KiB
Python
"""
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Internal Demo Cloning API for Recipes Service
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Service-to-service endpoint for cloning recipe and production data
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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, delete, func
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import structlog
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import uuid
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from uuid import UUID
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from datetime import datetime, timezone, timedelta
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from typing import Optional
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import os
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import sys
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import json
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent))
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from shared.utils.demo_dates import adjust_date_for_demo, resolve_time_marker
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from app.core.database import get_db
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from app.models.recipes import (
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Recipe, RecipeIngredient, ProductionBatch, ProductionIngredientConsumption,
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RecipeStatus, ProductionStatus, MeasurementUnit, ProductionPriority
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)
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from app.core.config import settings
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logger = structlog.get_logger()
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router = APIRouter()
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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 parse_date_field(
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field_value: any,
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session_time: datetime,
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field_name: str = "date"
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) -> Optional[datetime]:
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"""
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Parse a date field from JSON, supporting BASE_TS markers and ISO timestamps.
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Args:
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field_value: The date field value (can be BASE_TS marker, ISO string, or None)
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session_time: Session creation time (timezone-aware UTC)
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field_name: Name of the field (for logging)
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Returns:
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Timezone-aware UTC datetime or None
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"""
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if field_value is None:
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return None
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# Handle BASE_TS markers
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if isinstance(field_value, str) and field_value.startswith("BASE_TS"):
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try:
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return resolve_time_marker(field_value, session_time)
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except (ValueError, AttributeError) as e:
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logger.warning(
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"Failed to resolve BASE_TS marker",
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field_name=field_name,
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marker=field_value,
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error=str(e)
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)
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return None
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# Handle ISO timestamps (legacy format - convert to absolute datetime)
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if isinstance(field_value, str) and ('T' in field_value or 'Z' in field_value):
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try:
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parsed_date = datetime.fromisoformat(field_value.replace('Z', '+00:00'))
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# Adjust relative to session time
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return adjust_date_for_demo(parsed_date, session_time)
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except (ValueError, AttributeError) as e:
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logger.warning(
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"Failed to parse ISO timestamp",
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field_name=field_name,
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value=field_value,
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error=str(e)
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)
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return None
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logger.warning(
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"Unknown date format",
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field_name=field_name,
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value=field_value,
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value_type=type(field_value).__name__
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)
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return None
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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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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("/internal/demo/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 recipes service data for a virtual demo tenant
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This endpoint creates fresh demo data by:
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1. Loading seed data from JSON files
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2. Applying XOR-based ID transformation
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3. Adjusting dates relative to session creation time
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4. Creating records in the virtual tenant
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Args:
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base_tenant_id: Template tenant UUID (for reference)
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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: Session creation timestamp 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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try:
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# Validate UUIDs
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virtual_uuid = uuid.UUID(virtual_tenant_id)
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# Parse session creation time for date adjustment
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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):
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session_time = start_time
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else:
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session_time = start_time
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logger.info(
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"Starting recipes data cloning",
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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_created_at=session_created_at
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)
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# Load seed data from JSON files
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from shared.utils.seed_data_paths import get_seed_data_path
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if demo_account_type == "professional":
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json_file = get_seed_data_path("professional", "04-recipes.json")
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elif demo_account_type == "enterprise":
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json_file = get_seed_data_path("enterprise", "04-recipes.json")
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elif demo_account_type == "enterprise_child":
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json_file = get_seed_data_path("enterprise", "04-recipes.json", child_id=base_tenant_id)
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else:
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raise ValueError(f"Invalid demo account type: {demo_account_type}")
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# Load JSON data
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with open(json_file, 'r', encoding='utf-8') as f:
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seed_data = json.load(f)
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# Track cloning statistics
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stats = {
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"recipes": 0,
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"recipe_ingredients": 0
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}
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# First, build recipe ID map by processing all recipes
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recipe_id_map = {}
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# Create Recipes
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for recipe_data in seed_data.get('recipes', []):
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# Transform recipe ID using XOR
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from shared.utils.demo_id_transformer import transform_id
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try:
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recipe_uuid = uuid.UUID(recipe_data['id'])
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transformed_id = transform_id(recipe_data['id'], virtual_uuid)
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except ValueError as e:
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logger.error("Failed to parse recipe UUID",
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recipe_id=recipe_data['id'],
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error=str(e))
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raise HTTPException(
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status_code=400,
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detail=f"Invalid UUID format in recipe data: {str(e)}"
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)
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# Parse date fields (supports BASE_TS markers and ISO timestamps)
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adjusted_created_at = parse_date_field(
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recipe_data.get('created_at'),
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session_time,
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"created_at"
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)
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adjusted_updated_at = parse_date_field(
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recipe_data.get('updated_at'),
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session_time,
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"updated_at"
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)
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# Map field names from seed data to model fields
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# Handle yield_quantity/yield_unit (may be named finished_product_quantity/unit in seed data)
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yield_quantity = recipe_data.get('yield_quantity') or recipe_data.get('finished_product_quantity', 1.0)
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yield_unit_str = recipe_data.get('yield_unit') or recipe_data.get('finished_product_unit', 'UNITS')
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# Convert yield_unit string to enum if needed
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if isinstance(yield_unit_str, str):
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try:
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yield_unit = MeasurementUnit[yield_unit_str.upper()]
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except KeyError:
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yield_unit = MeasurementUnit.UNITS
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else:
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yield_unit = yield_unit_str
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# Convert status string to enum if needed
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status = recipe_data.get('status', 'ACTIVE')
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if isinstance(status, str):
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try:
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status = RecipeStatus[status.upper()]
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except KeyError:
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status = RecipeStatus.ACTIVE
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new_recipe = Recipe(
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id=str(transformed_id),
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tenant_id=virtual_uuid,
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name=recipe_data['name'],
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description=recipe_data.get('description'),
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recipe_code=recipe_data.get('recipe_code'),
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version=recipe_data.get('version', '1.0'),
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status=status,
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finished_product_id=recipe_data['finished_product_id'],
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yield_quantity=yield_quantity,
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yield_unit=yield_unit,
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category=recipe_data.get('category'),
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difficulty_level=recipe_data.get('difficulty_level', 1),
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prep_time_minutes=recipe_data.get('prep_time_minutes') or recipe_data.get('preparation_time_minutes'),
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cook_time_minutes=recipe_data.get('cook_time_minutes') or recipe_data.get('baking_time_minutes'),
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total_time_minutes=recipe_data.get('total_time_minutes'),
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rest_time_minutes=recipe_data.get('rest_time_minutes') or recipe_data.get('cooling_time_minutes'),
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instructions=recipe_data.get('instructions'),
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preparation_notes=recipe_data.get('notes') or recipe_data.get('preparation_notes'),
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created_at=adjusted_created_at,
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updated_at=adjusted_updated_at
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)
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db.add(new_recipe)
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stats["recipes"] += 1
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# Add recipe ID to map for ingredients
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recipe_id_map[recipe_data['id']] = str(transformed_id)
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# Create Recipe Ingredients
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for recipe_ingredient_data in seed_data.get('recipe_ingredients', []):
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# Transform ingredient ID using XOR
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try:
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ingredient_uuid = uuid.UUID(recipe_ingredient_data['id'])
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transformed_id = transform_id(ingredient_uuid, virtual_uuid)
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except ValueError as e:
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logger.error("Failed to parse recipe ingredient UUID",
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ingredient_id=recipe_ingredient_data['id'],
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error=str(e))
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raise HTTPException(
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status_code=400,
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detail=f"Invalid UUID format in recipe ingredient data: {str(e)}"
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)
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# Get the transformed recipe ID
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recipe_id = recipe_id_map.get(recipe_ingredient_data['recipe_id'])
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if not recipe_id:
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logger.error("Recipe not found for ingredient",
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recipe_id=recipe_ingredient_data['recipe_id'])
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continue
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# Convert unit string to enum if needed
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unit_str = recipe_ingredient_data.get('unit', 'KILOGRAMS')
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if isinstance(unit_str, str):
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try:
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unit = MeasurementUnit[unit_str.upper()]
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except KeyError:
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# Try without 'S' for singular forms
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try:
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unit = MeasurementUnit[unit_str.upper().rstrip('S')]
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except KeyError:
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unit = MeasurementUnit.KILOGRAMS
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else:
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unit = unit_str
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new_recipe_ingredient = RecipeIngredient(
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id=str(transformed_id),
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tenant_id=virtual_uuid,
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recipe_id=recipe_id,
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ingredient_id=recipe_ingredient_data['ingredient_id'],
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quantity=recipe_ingredient_data['quantity'],
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unit=unit,
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unit_cost=recipe_ingredient_data.get('cost_per_unit') or recipe_ingredient_data.get('unit_cost', 0.0),
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total_cost=recipe_ingredient_data.get('total_cost'),
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ingredient_order=recipe_ingredient_data.get('sequence') or recipe_ingredient_data.get('ingredient_order', 1),
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is_optional=recipe_ingredient_data.get('is_optional', False),
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ingredient_notes=recipe_ingredient_data.get('notes') or recipe_ingredient_data.get('ingredient_notes')
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)
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db.add(new_recipe_ingredient)
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stats["recipe_ingredients"] += 1
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await db.commit()
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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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"Recipes data cloned successfully",
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virtual_tenant_id=virtual_tenant_id,
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records_cloned=stats,
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duration_ms=duration_ms
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)
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return {
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"service": "recipes",
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"status": "completed",
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"records_cloned": sum(stats.values()),
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"duration_ms": duration_ms,
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"details": {
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"recipes": stats["recipes"],
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"recipe_ingredients": stats["recipe_ingredients"],
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"virtual_tenant_id": str(virtual_tenant_id)
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}
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}
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except ValueError as e:
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logger.error("Invalid UUID format", error=str(e), virtual_tenant_id=virtual_tenant_id)
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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 recipes 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": "recipes",
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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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@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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"""
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return {
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"service": "recipes",
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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}")
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async def delete_demo_tenant_data(
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virtual_tenant_id: UUID,
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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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Delete all demo data for a virtual tenant.
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This endpoint is idempotent - safe to call multiple times.
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"""
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start_time = datetime.now(timezone.utc)
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records_deleted = {
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"recipes": 0,
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"recipe_ingredients": 0,
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"total": 0
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}
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try:
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# Delete in reverse dependency order
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# 1. Delete recipe ingredients (depends on recipes)
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result = await db.execute(
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delete(RecipeIngredient)
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.where(RecipeIngredient.tenant_id == virtual_tenant_id)
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)
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records_deleted["recipe_ingredients"] = result.rowcount
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# 2. Delete recipes
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result = await db.execute(
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delete(Recipe)
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.where(Recipe.tenant_id == virtual_tenant_id)
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)
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records_deleted["recipes"] = result.rowcount
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records_deleted["total"] = sum(records_deleted.values())
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await db.commit()
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logger.info(
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"demo_data_deleted",
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service="recipes",
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virtual_tenant_id=str(virtual_tenant_id),
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records_deleted=records_deleted
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)
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return {
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"service": "recipes",
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"status": "deleted",
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"virtual_tenant_id": str(virtual_tenant_id),
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"records_deleted": records_deleted,
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"duration_ms": int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
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}
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except Exception as e:
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await db.rollback()
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logger.error(
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"demo_data_deletion_failed",
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service="recipes",
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virtual_tenant_id=str(virtual_tenant_id),
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error=str(e)
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)
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raise HTTPException(
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status_code=500,
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detail=f"Failed to delete demo data: {str(e)}"
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) |