498 lines
20 KiB
Python
498 lines
20 KiB
Python
"""
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Internal Demo Cloning API for Production Service
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Service-to-service endpoint for cloning 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
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import structlog
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import uuid
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from datetime import datetime, timezone, timedelta
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from typing import Optional, Dict, Any
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import os
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from app.core.database import get_db
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from app.models.production import (
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ProductionBatch, ProductionSchedule, ProductionCapacity,
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QualityCheckTemplate, QualityCheck, Equipment,
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ProductionStatus, ProductionPriority, ProcessStage,
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EquipmentStatus, EquipmentType
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)
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from shared.utils.demo_dates import adjust_date_for_demo, BASE_REFERENCE_DATE
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from shared.utils.alert_generator import generate_equipment_alerts
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logger = structlog.get_logger()
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router = APIRouter(prefix="/internal/demo", tags=["internal"])
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# Internal API key for service-to-service auth
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INTERNAL_API_KEY = os.getenv("INTERNAL_API_KEY", "dev-internal-key-change-in-production")
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# Base demo tenant IDs
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DEMO_TENANT_SAN_PABLO = "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6"
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DEMO_TENANT_LA_ESPIGA = "b2c3d4e5-f6a7-48b9-c0d1-e2f3a4b5c6d7"
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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 != 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 production service data for a virtual demo tenant
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Clones:
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- Production batches (historical production runs)
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- Production schedules (daily planning)
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- Production capacity records
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- Quality check templates
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- Quality checks (inspection records)
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- Equipment (machines and tools)
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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: 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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# 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 production 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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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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# Track cloning statistics
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stats = {
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"production_batches": 0,
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"production_schedules": 0,
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"production_capacity": 0,
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"quality_check_templates": 0,
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"quality_checks": 0,
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"equipment": 0,
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"alerts_generated": 0
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}
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# ID mappings
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batch_id_map = {}
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template_id_map = {}
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equipment_id_map = {}
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# Clone Equipment first (no dependencies)
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result = await db.execute(
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select(Equipment).where(Equipment.tenant_id == base_uuid)
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)
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base_equipment = result.scalars().all()
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logger.info(
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"Found equipment to clone",
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count=len(base_equipment),
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base_tenant=str(base_uuid)
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)
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for equipment in base_equipment:
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new_equipment_id = uuid.uuid4()
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equipment_id_map[equipment.id] = new_equipment_id
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# Adjust dates relative to session creation time
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adjusted_install_date = adjust_date_for_demo(
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equipment.install_date, session_time, BASE_REFERENCE_DATE
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)
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adjusted_last_maintenance = adjust_date_for_demo(
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equipment.last_maintenance_date, session_time, BASE_REFERENCE_DATE
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)
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adjusted_next_maintenance = adjust_date_for_demo(
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equipment.next_maintenance_date, session_time, BASE_REFERENCE_DATE
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)
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new_equipment = Equipment(
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id=new_equipment_id,
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tenant_id=virtual_uuid,
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name=equipment.name,
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type=equipment.type,
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model=equipment.model,
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serial_number=equipment.serial_number,
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location=equipment.location,
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status=equipment.status,
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install_date=adjusted_install_date,
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last_maintenance_date=adjusted_last_maintenance,
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next_maintenance_date=adjusted_next_maintenance,
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maintenance_interval_days=equipment.maintenance_interval_days,
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efficiency_percentage=equipment.efficiency_percentage,
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uptime_percentage=equipment.uptime_percentage,
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energy_usage_kwh=equipment.energy_usage_kwh,
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power_kw=equipment.power_kw,
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capacity=equipment.capacity,
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weight_kg=equipment.weight_kg,
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current_temperature=equipment.current_temperature,
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target_temperature=equipment.target_temperature,
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is_active=equipment.is_active,
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notes=equipment.notes,
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created_at=session_time,
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updated_at=session_time
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)
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db.add(new_equipment)
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stats["equipment"] += 1
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# Flush to get equipment IDs
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await db.flush()
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# Clone Quality Check Templates
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result = await db.execute(
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select(QualityCheckTemplate).where(QualityCheckTemplate.tenant_id == base_uuid)
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)
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base_templates = result.scalars().all()
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logger.info(
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"Found quality check templates to clone",
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count=len(base_templates),
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base_tenant=str(base_uuid)
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)
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for template in base_templates:
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new_template_id = uuid.uuid4()
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template_id_map[template.id] = new_template_id
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new_template = QualityCheckTemplate(
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id=new_template_id,
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tenant_id=virtual_uuid,
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name=template.name,
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template_code=template.template_code,
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check_type=template.check_type,
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category=template.category,
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description=template.description,
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instructions=template.instructions,
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parameters=template.parameters,
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thresholds=template.thresholds,
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scoring_criteria=template.scoring_criteria,
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is_active=template.is_active,
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is_required=template.is_required,
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is_critical=template.is_critical,
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weight=template.weight,
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min_value=template.min_value,
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max_value=template.max_value,
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target_value=template.target_value,
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unit=template.unit,
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tolerance_percentage=template.tolerance_percentage,
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applicable_stages=template.applicable_stages,
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created_by=template.created_by,
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created_at=session_time,
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updated_at=session_time
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)
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db.add(new_template)
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stats["quality_check_templates"] += 1
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# Flush to get template IDs
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await db.flush()
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# Clone Production Batches
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result = await db.execute(
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select(ProductionBatch).where(ProductionBatch.tenant_id == base_uuid)
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)
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base_batches = result.scalars().all()
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logger.info(
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"Found production batches to clone",
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count=len(base_batches),
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base_tenant=str(base_uuid)
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)
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# Calculate date offset to make production recent
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if base_batches:
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max_date = max(batch.planned_start_time for batch in base_batches if batch.planned_start_time)
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today = datetime.now(timezone.utc)
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date_offset = today - max_date
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else:
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date_offset = timedelta(days=0)
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for batch in base_batches:
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new_batch_id = uuid.uuid4()
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batch_id_map[batch.id] = new_batch_id
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new_batch = ProductionBatch(
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id=new_batch_id,
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tenant_id=virtual_uuid,
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batch_number=f"BATCH-{uuid.uuid4().hex[:8].upper()}", # New batch number
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product_id=batch.product_id, # Keep product reference
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product_name=batch.product_name,
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recipe_id=batch.recipe_id, # Keep recipe reference
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planned_start_time=batch.planned_start_time + date_offset if batch.planned_start_time else None,
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planned_end_time=batch.planned_end_time + date_offset if batch.planned_end_time else None,
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planned_quantity=batch.planned_quantity,
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planned_duration_minutes=batch.planned_duration_minutes,
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actual_start_time=batch.actual_start_time + date_offset if batch.actual_start_time else None,
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actual_end_time=batch.actual_end_time + date_offset if batch.actual_end_time else None,
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actual_quantity=batch.actual_quantity,
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actual_duration_minutes=batch.actual_duration_minutes,
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status=batch.status,
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priority=batch.priority,
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current_process_stage=batch.current_process_stage,
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process_stage_history=batch.process_stage_history,
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pending_quality_checks=batch.pending_quality_checks,
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completed_quality_checks=batch.completed_quality_checks,
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estimated_cost=batch.estimated_cost,
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actual_cost=batch.actual_cost,
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labor_cost=batch.labor_cost,
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material_cost=batch.material_cost,
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overhead_cost=batch.overhead_cost,
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yield_percentage=batch.yield_percentage,
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quality_score=batch.quality_score,
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waste_quantity=batch.waste_quantity,
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defect_quantity=batch.defect_quantity,
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equipment_used=batch.equipment_used,
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staff_assigned=batch.staff_assigned,
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station_id=batch.station_id,
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order_id=batch.order_id,
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forecast_id=batch.forecast_id,
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is_rush_order=batch.is_rush_order,
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is_special_recipe=batch.is_special_recipe,
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production_notes=batch.production_notes,
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quality_notes=batch.quality_notes,
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delay_reason=batch.delay_reason,
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cancellation_reason=batch.cancellation_reason,
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created_at=datetime.now(timezone.utc),
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updated_at=datetime.now(timezone.utc),
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completed_at=batch.completed_at + date_offset if batch.completed_at else None
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)
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db.add(new_batch)
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stats["production_batches"] += 1
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# Flush to get batch IDs
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await db.flush()
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# Clone Quality Checks
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result = await db.execute(
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select(QualityCheck).where(QualityCheck.tenant_id == base_uuid)
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)
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base_checks = result.scalars().all()
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logger.info(
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"Found quality checks to clone",
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count=len(base_checks),
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base_tenant=str(base_uuid)
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)
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for check in base_checks:
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new_batch_id = batch_id_map.get(check.batch_id, check.batch_id)
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new_template_id = template_id_map.get(check.template_id, check.template_id) if check.template_id else None
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new_check = QualityCheck(
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id=uuid.uuid4(),
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tenant_id=virtual_uuid,
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batch_id=new_batch_id,
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template_id=new_template_id,
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check_type=check.check_type,
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process_stage=check.process_stage,
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check_time=check.check_time + date_offset,
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checker_id=check.checker_id,
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quality_score=check.quality_score,
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pass_fail=check.pass_fail,
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defect_count=check.defect_count,
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defect_types=check.defect_types,
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measured_weight=check.measured_weight,
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measured_temperature=check.measured_temperature,
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measured_moisture=check.measured_moisture,
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measured_dimensions=check.measured_dimensions,
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stage_specific_data=check.stage_specific_data,
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target_weight=check.target_weight,
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target_temperature=check.target_temperature,
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target_moisture=check.target_moisture,
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tolerance_percentage=check.tolerance_percentage,
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within_tolerance=check.within_tolerance,
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corrective_action_needed=check.corrective_action_needed,
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corrective_actions=check.corrective_actions,
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template_results=check.template_results,
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criteria_scores=check.criteria_scores,
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check_notes=check.check_notes,
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photos_urls=check.photos_urls,
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certificate_url=check.certificate_url,
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created_at=datetime.now(timezone.utc),
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updated_at=datetime.now(timezone.utc)
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)
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db.add(new_check)
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stats["quality_checks"] += 1
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# Clone Production Schedules
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result = await db.execute(
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select(ProductionSchedule).where(ProductionSchedule.tenant_id == base_uuid)
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)
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base_schedules = result.scalars().all()
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logger.info(
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"Found production schedules to clone",
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count=len(base_schedules),
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base_tenant=str(base_uuid)
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)
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for schedule in base_schedules:
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new_schedule = ProductionSchedule(
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id=uuid.uuid4(),
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tenant_id=virtual_uuid,
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schedule_date=schedule.schedule_date + date_offset,
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shift_start=schedule.shift_start + date_offset,
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shift_end=schedule.shift_end + date_offset,
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total_capacity_hours=schedule.total_capacity_hours,
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planned_capacity_hours=schedule.planned_capacity_hours,
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actual_capacity_hours=schedule.actual_capacity_hours,
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overtime_hours=schedule.overtime_hours,
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staff_count=schedule.staff_count,
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equipment_capacity=schedule.equipment_capacity,
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station_assignments=schedule.station_assignments,
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total_batches_planned=schedule.total_batches_planned,
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total_batches_completed=schedule.total_batches_completed,
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total_quantity_planned=schedule.total_quantity_planned,
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total_quantity_produced=schedule.total_quantity_produced,
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is_finalized=schedule.is_finalized,
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is_active=schedule.is_active,
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efficiency_percentage=schedule.efficiency_percentage,
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utilization_percentage=schedule.utilization_percentage,
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on_time_completion_rate=schedule.on_time_completion_rate,
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schedule_notes=schedule.schedule_notes,
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schedule_adjustments=schedule.schedule_adjustments,
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created_at=datetime.now(timezone.utc),
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updated_at=datetime.now(timezone.utc),
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finalized_at=schedule.finalized_at + date_offset if schedule.finalized_at else None
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)
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db.add(new_schedule)
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stats["production_schedules"] += 1
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# Clone Production Capacity
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result = await db.execute(
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select(ProductionCapacity).where(ProductionCapacity.tenant_id == base_uuid)
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)
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base_capacity = result.scalars().all()
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for capacity in base_capacity:
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new_capacity = ProductionCapacity(
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id=uuid.uuid4(),
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tenant_id=virtual_uuid,
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resource_type=capacity.resource_type,
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resource_id=capacity.resource_id,
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resource_name=capacity.resource_name,
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date=capacity.date + date_offset,
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start_time=capacity.start_time + date_offset,
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end_time=capacity.end_time + date_offset,
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total_capacity_units=capacity.total_capacity_units,
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allocated_capacity_units=capacity.allocated_capacity_units,
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remaining_capacity_units=capacity.remaining_capacity_units,
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is_available=capacity.is_available,
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is_maintenance=capacity.is_maintenance,
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is_reserved=capacity.is_reserved,
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equipment_type=capacity.equipment_type,
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max_batch_size=capacity.max_batch_size,
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min_batch_size=capacity.min_batch_size,
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setup_time_minutes=capacity.setup_time_minutes,
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cleanup_time_minutes=capacity.cleanup_time_minutes,
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efficiency_rating=capacity.efficiency_rating,
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maintenance_status=capacity.maintenance_status,
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last_maintenance_date=capacity.last_maintenance_date + date_offset if capacity.last_maintenance_date else None,
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notes=capacity.notes,
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restrictions=capacity.restrictions,
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created_at=datetime.now(timezone.utc),
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updated_at=datetime.now(timezone.utc)
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)
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db.add(new_capacity)
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stats["production_capacity"] += 1
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# Commit cloned data first
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await db.commit()
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# Generate equipment maintenance and status alerts
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try:
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alerts_count = await generate_equipment_alerts(db, virtual_uuid, session_time)
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stats["alerts_generated"] += alerts_count
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await db.commit()
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logger.info(f"Generated {alerts_count} equipment alerts")
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except Exception as alert_error:
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logger.warning(f"Alert generation failed: {alert_error}", exc_info=True)
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total_records = sum(stats.values())
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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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"Production data cloning completed",
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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": "production",
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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 production 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": "production",
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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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}
|
|
|
|
|
|
@router.get("/clone/health")
|
|
async def clone_health_check(_: bool = Depends(verify_internal_api_key)):
|
|
"""
|
|
Health check for internal cloning endpoint
|
|
Used by orchestrator to verify service availability
|
|
"""
|
|
return {
|
|
"service": "production",
|
|
"clone_endpoint": "available",
|
|
"version": "2.0.0"
|
|
}
|