265 lines
10 KiB
Python
265 lines
10 KiB
Python
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"""
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Internal Demo API Endpoints for Orchestrator Service
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Used by demo_session service to clone data for virtual demo tenants
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"""
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from fastapi import APIRouter, Depends, HTTPException, Header
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from typing import Dict, Any
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from uuid import UUID
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import structlog
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import os
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from app.core.database import get_db
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select, delete, func
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from app.models.orchestration_run import OrchestrationRun
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import uuid
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from datetime import datetime, timezone, timedelta
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from typing import Optional
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router = APIRouter()
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logger = structlog.get_logger()
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# Internal API key for service-to-service communication
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INTERNAL_API_KEY = os.getenv("INTERNAL_API_KEY", "dev-internal-key-change-in-production")
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def verify_internal_api_key(x_internal_api_key: str = Header(...)):
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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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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 orchestration run demo data from base tenant to virtual tenant
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This endpoint is called by the demo_session service during session initialization.
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It clones orchestration runs with date adjustments to make them appear recent.
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"""
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start_time = datetime.now(timezone.utc)
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# Parse session_created_at or use current time
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if session_created_at:
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try:
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reference_time = datetime.fromisoformat(session_created_at.replace('Z', '+00:00'))
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except:
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reference_time = datetime.now(timezone.utc)
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else:
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reference_time = datetime.now(timezone.utc)
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logger.info(
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"Starting orchestration runs 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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reference_time=reference_time.isoformat()
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)
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try:
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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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# Fetch base tenant orchestration runs
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# Get all completed and partial_success runs from the base tenant
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result = await db.execute(
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select(OrchestrationRun)
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.where(OrchestrationRun.tenant_id == base_uuid)
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.order_by(OrchestrationRun.started_at.desc())
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.limit(10) # Clone last 10 runs for demo
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)
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base_runs = list(result.scalars().all())
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runs_cloned = 0
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# Clone each orchestration run with date adjustment
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for base_run in base_runs:
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# Calculate time offset: how old was this run relative to when it was created
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# We'll adjust all timestamps to be relative to the session creation time
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if base_run.started_at:
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# Calculate how many days ago this run was from a reference point
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# Use a fixed reference date for consistency
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reference_date = datetime(2025, 1, 15, 12, 0, 0, tzinfo=timezone.utc)
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time_offset = base_run.started_at - reference_date
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# Apply this offset to the current reference time
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new_started_at = reference_time + time_offset
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else:
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new_started_at = reference_time - timedelta(hours=2)
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# Adjust completed_at if it exists
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if base_run.completed_at and base_run.started_at:
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duration = base_run.completed_at - base_run.started_at
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new_completed_at = new_started_at + duration
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else:
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new_completed_at = None
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# Adjust all step timestamps proportionally
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def adjust_timestamp(original_timestamp):
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if not original_timestamp or not base_run.started_at:
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return None
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step_offset = original_timestamp - base_run.started_at
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return new_started_at + step_offset
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# Create new orchestration run for virtual tenant
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new_run = OrchestrationRun(
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id=uuid.uuid4(),
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tenant_id=virtual_uuid,
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run_number=f"{base_run.run_number}-DEMO",
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status=base_run.status,
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run_type=base_run.run_type,
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priority=base_run.priority,
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started_at=new_started_at,
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completed_at=new_completed_at,
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duration_seconds=base_run.duration_seconds,
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# Forecasting step
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forecasting_started_at=adjust_timestamp(base_run.forecasting_started_at),
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forecasting_completed_at=adjust_timestamp(base_run.forecasting_completed_at),
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forecasting_status=base_run.forecasting_status,
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forecasting_error=base_run.forecasting_error,
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# Production step
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production_started_at=adjust_timestamp(base_run.production_started_at),
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production_completed_at=adjust_timestamp(base_run.production_completed_at),
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production_status=base_run.production_status,
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production_error=base_run.production_error,
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# Procurement step
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procurement_started_at=adjust_timestamp(base_run.procurement_started_at),
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procurement_completed_at=adjust_timestamp(base_run.procurement_completed_at),
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procurement_status=base_run.procurement_status,
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procurement_error=base_run.procurement_error,
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# Notification step
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notification_started_at=adjust_timestamp(base_run.notification_started_at),
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notification_completed_at=adjust_timestamp(base_run.notification_completed_at),
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notification_status=base_run.notification_status,
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notification_error=base_run.notification_error,
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# AI Insights (if exists)
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ai_insights_started_at=adjust_timestamp(base_run.ai_insights_started_at) if hasattr(base_run, 'ai_insights_started_at') else None,
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ai_insights_completed_at=adjust_timestamp(base_run.ai_insights_completed_at) if hasattr(base_run, 'ai_insights_completed_at') else None,
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ai_insights_status=base_run.ai_insights_status if hasattr(base_run, 'ai_insights_status') else None,
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ai_insights_generated=base_run.ai_insights_generated if hasattr(base_run, 'ai_insights_generated') else None,
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ai_insights_posted=base_run.ai_insights_posted if hasattr(base_run, 'ai_insights_posted') else None,
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# Results summary
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forecasts_generated=base_run.forecasts_generated,
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production_batches_created=base_run.production_batches_created,
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procurement_plans_created=base_run.procurement_plans_created,
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purchase_orders_created=base_run.purchase_orders_created,
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notifications_sent=base_run.notifications_sent,
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# Performance metrics
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fulfillment_rate=base_run.fulfillment_rate,
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on_time_delivery_rate=base_run.on_time_delivery_rate,
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cost_accuracy=base_run.cost_accuracy,
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quality_score=base_run.quality_score,
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# Data
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forecast_data=base_run.forecast_data,
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run_metadata=base_run.run_metadata,
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# Metadata
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triggered_by=base_run.triggered_by,
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created_at=reference_time,
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updated_at=reference_time
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)
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db.add(new_run)
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await db.flush()
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runs_cloned += 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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"Orchestration runs cloned successfully",
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virtual_tenant_id=str(virtual_tenant_id),
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runs_cloned=runs_cloned,
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duration_ms=duration_ms
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)
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return {
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"service": "orchestrator",
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"status": "completed",
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"success": True,
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"records_cloned": runs_cloned,
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"runs_cloned": runs_cloned,
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"duration_ms": duration_ms
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}
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except Exception as e:
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logger.error("Failed to clone orchestration runs", error=str(e), exc_info=True)
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await db.rollback()
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raise HTTPException(status_code=500, detail=f"Failed to clone orchestration runs: {str(e)}")
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@router.delete("/internal/demo/tenant/{virtual_tenant_id}")
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async def delete_demo_data(
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virtual_tenant_id: str,
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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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"""Delete all orchestration runs for a virtual demo tenant"""
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logger.info("Deleting orchestration runs for virtual tenant", 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)
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# Count records
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run_count = await db.scalar(
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select(func.count(OrchestrationRun.id))
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.where(OrchestrationRun.tenant_id == virtual_uuid)
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)
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# Delete orchestration runs
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await db.execute(
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delete(OrchestrationRun)
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.where(OrchestrationRun.tenant_id == virtual_uuid)
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)
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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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"Orchestration runs deleted successfully",
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virtual_tenant_id=virtual_tenant_id,
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duration_ms=duration_ms
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)
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return {
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"service": "orchestrator",
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"status": "deleted",
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"virtual_tenant_id": virtual_tenant_id,
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"records_deleted": {
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"orchestration_runs": run_count,
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"total": run_count
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},
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"duration_ms": duration_ms
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}
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except Exception as e:
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logger.error("Failed to delete orchestration runs", error=str(e), exc_info=True)
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await db.rollback()
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/internal/demo/clone/health")
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async def health_check(_: bool = Depends(verify_internal_api_key)):
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"""Health check for demo cloning endpoint"""
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return {"status": "healthy", "service": "orchestrator"}
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