433 lines
15 KiB
Python
433 lines
15 KiB
Python
"""
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Deletion Orchestrator Service
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Coordinates tenant deletion across all microservices with saga pattern support
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"""
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from typing import Dict, List, Any, Optional
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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from enum import Enum
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import structlog
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import httpx
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import asyncio
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from uuid import uuid4
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logger = structlog.get_logger()
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class DeletionStatus(Enum):
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"""Status of deletion job"""
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PENDING = "pending"
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IN_PROGRESS = "in_progress"
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COMPLETED = "completed"
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FAILED = "failed"
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ROLLED_BACK = "rolled_back"
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class ServiceDeletionStatus(Enum):
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"""Status of individual service deletion"""
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PENDING = "pending"
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IN_PROGRESS = "in_progress"
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SUCCESS = "success"
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FAILED = "failed"
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ROLLED_BACK = "rolled_back"
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@dataclass
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class ServiceDeletionResult:
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"""Result from a single service deletion"""
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service_name: str
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status: ServiceDeletionStatus
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deleted_counts: Dict[str, int] = field(default_factory=dict)
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errors: List[str] = field(default_factory=list)
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duration_seconds: float = 0.0
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timestamp: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
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@property
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def total_deleted(self) -> int:
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return sum(self.deleted_counts.values())
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@property
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def success(self) -> bool:
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return self.status == ServiceDeletionStatus.SUCCESS and len(self.errors) == 0
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@dataclass
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class DeletionJob:
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"""Tracks a complete tenant deletion job"""
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job_id: str
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tenant_id: str
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tenant_name: Optional[str] = None
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initiated_by: Optional[str] = None
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status: DeletionStatus = DeletionStatus.PENDING
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service_results: Dict[str, ServiceDeletionResult] = field(default_factory=dict)
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started_at: Optional[str] = None
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completed_at: Optional[str] = None
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error_log: List[str] = field(default_factory=list)
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@property
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def total_items_deleted(self) -> int:
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return sum(result.total_deleted for result in self.service_results.values())
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@property
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def services_completed(self) -> int:
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return sum(1 for r in self.service_results.values()
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if r.status == ServiceDeletionStatus.SUCCESS)
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@property
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def services_failed(self) -> int:
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return sum(1 for r in self.service_results.values()
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if r.status == ServiceDeletionStatus.FAILED)
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def to_dict(self) -> Dict[str, Any]:
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"""Convert to dictionary for API responses"""
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return {
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"job_id": self.job_id,
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"tenant_id": self.tenant_id,
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"tenant_name": self.tenant_name,
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"initiated_by": self.initiated_by,
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"status": self.status.value,
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"total_items_deleted": self.total_items_deleted,
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"services_completed": self.services_completed,
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"services_failed": self.services_failed,
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"service_results": {
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name: {
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"status": result.status.value,
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"deleted_counts": result.deleted_counts,
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"total_deleted": result.total_deleted,
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"errors": result.errors,
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"duration_seconds": result.duration_seconds
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}
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for name, result in self.service_results.items()
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},
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"started_at": self.started_at,
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"completed_at": self.completed_at,
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"error_log": self.error_log
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}
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class DeletionOrchestrator:
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"""
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Orchestrates tenant deletion across all microservices
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Implements saga pattern for distributed transactions
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"""
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# Service registry with deletion endpoints
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# All services implement DELETE /tenant/{tenant_id} and GET /tenant/{tenant_id}/deletion-preview
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# STATUS: 12/12 services implemented (100% COMPLETE)
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SERVICE_DELETION_ENDPOINTS = {
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# Core business services (6/6 complete)
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"orders": "http://orders-service:8000/api/v1/orders/tenant/{tenant_id}",
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"inventory": "http://inventory-service:8000/api/v1/inventory/tenant/{tenant_id}",
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"recipes": "http://recipes-service:8000/api/v1/recipes/tenant/{tenant_id}",
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"production": "http://production-service:8000/api/v1/production/tenant/{tenant_id}",
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"sales": "http://sales-service:8000/api/v1/sales/tenant/{tenant_id}",
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"suppliers": "http://suppliers-service:8000/api/v1/suppliers/tenant/{tenant_id}",
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# Integration services (2/2 complete)
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"pos": "http://pos-service:8000/api/v1/pos/tenant/{tenant_id}",
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"external": "http://external-service:8000/api/v1/external/tenant/{tenant_id}",
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# AI/ML services (2/2 complete)
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"forecasting": "http://forecasting-service:8000/api/v1/forecasting/tenant/{tenant_id}",
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"training": "http://training-service:8000/api/v1/training/tenant/{tenant_id}",
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# Alert and notification services (2/2 complete)
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"alert_processor": "http://alert-processor-service:8000/api/v1/alerts/tenant/{tenant_id}",
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"notification": "http://notification-service:8000/api/v1/notifications/tenant/{tenant_id}",
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}
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def __init__(self, auth_token: Optional[str] = None):
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"""
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Initialize orchestrator
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Args:
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auth_token: JWT token for service-to-service authentication
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"""
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self.auth_token = auth_token
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self.jobs: Dict[str, DeletionJob] = {} # In-memory job storage (TODO: move to database)
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async def orchestrate_tenant_deletion(
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self,
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tenant_id: str,
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tenant_name: Optional[str] = None,
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initiated_by: Optional[str] = None
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) -> DeletionJob:
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"""
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Orchestrate complete tenant deletion across all services
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Args:
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tenant_id: Tenant to delete
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tenant_name: Name of tenant (for logging)
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initiated_by: User ID who initiated deletion
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Returns:
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DeletionJob with complete results
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"""
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# Create deletion job
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job = DeletionJob(
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job_id=str(uuid4()),
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tenant_id=tenant_id,
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tenant_name=tenant_name,
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initiated_by=initiated_by,
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status=DeletionStatus.IN_PROGRESS,
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started_at=datetime.now(timezone.utc).isoformat()
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)
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self.jobs[job.job_id] = job
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logger.info("Starting tenant deletion orchestration",
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job_id=job.job_id,
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tenant_id=tenant_id,
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tenant_name=tenant_name,
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service_count=len(self.SERVICE_DELETION_ENDPOINTS))
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try:
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# Delete data from all services in parallel
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service_results = await self._delete_from_all_services(tenant_id)
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# Store results in job
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for service_name, result in service_results.items():
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job.service_results[service_name] = result
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# Check if all services succeeded
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all_succeeded = all(r.success for r in service_results.values())
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if all_succeeded:
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job.status = DeletionStatus.COMPLETED
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logger.info("Tenant deletion orchestration completed successfully",
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job_id=job.job_id,
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tenant_id=tenant_id,
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total_items_deleted=job.total_items_deleted,
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services_completed=job.services_completed)
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else:
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job.status = DeletionStatus.FAILED
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failed_services = [name for name, r in service_results.items() if not r.success]
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job.error_log.append(f"Failed services: {', '.join(failed_services)}")
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logger.error("Tenant deletion orchestration failed",
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job_id=job.job_id,
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tenant_id=tenant_id,
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failed_services=failed_services,
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services_completed=job.services_completed,
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services_failed=job.services_failed)
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job.completed_at = datetime.now(timezone.utc).isoformat()
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except Exception as e:
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job.status = DeletionStatus.FAILED
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job.error_log.append(f"Fatal orchestration error: {str(e)}")
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job.completed_at = datetime.now(timezone.utc).isoformat()
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logger.error("Fatal error during tenant deletion orchestration",
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job_id=job.job_id,
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tenant_id=tenant_id,
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error=str(e))
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return job
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async def _delete_from_all_services(
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self,
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tenant_id: str
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) -> Dict[str, ServiceDeletionResult]:
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"""
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Delete tenant data from all services in parallel
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Args:
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tenant_id: Tenant to delete
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Returns:
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Dict mapping service name to deletion result
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"""
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# Create tasks for parallel execution
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tasks = []
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service_names = []
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for service_name, endpoint_template in self.SERVICE_DELETION_ENDPOINTS.items():
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endpoint = endpoint_template.format(tenant_id=tenant_id)
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task = self._delete_from_service(service_name, endpoint, tenant_id)
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tasks.append(task)
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service_names.append(service_name)
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# Execute all deletions in parallel
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results = await asyncio.gather(*tasks, return_exceptions=True)
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# Build result dictionary
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service_results = {}
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for service_name, result in zip(service_names, results):
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if isinstance(result, Exception):
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# Task raised an exception
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service_results[service_name] = ServiceDeletionResult(
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service_name=service_name,
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status=ServiceDeletionStatus.FAILED,
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errors=[f"Exception: {str(result)}"]
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)
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else:
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service_results[service_name] = result
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return service_results
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async def _delete_from_service(
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self,
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service_name: str,
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endpoint: str,
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tenant_id: str
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) -> ServiceDeletionResult:
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"""
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Delete tenant data from a single service
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Args:
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service_name: Name of the service
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endpoint: Full URL endpoint for deletion
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tenant_id: Tenant to delete
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Returns:
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ServiceDeletionResult with deletion details
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"""
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start_time = datetime.now(timezone.utc)
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logger.info("Calling service deletion endpoint",
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service=service_name,
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endpoint=endpoint,
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tenant_id=tenant_id)
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try:
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headers = {
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"X-Internal-Service": "auth-service",
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"Content-Type": "application/json"
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}
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if self.auth_token:
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headers["Authorization"] = f"Bearer {self.auth_token}"
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async with httpx.AsyncClient(timeout=60.0) as client:
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response = await client.delete(endpoint, headers=headers)
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duration = (datetime.now(timezone.utc) - start_time).total_seconds()
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if response.status_code == 200:
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data = response.json()
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summary = data.get("summary", {})
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result = ServiceDeletionResult(
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service_name=service_name,
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status=ServiceDeletionStatus.SUCCESS,
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deleted_counts=summary.get("deleted_counts", {}),
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errors=summary.get("errors", []),
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duration_seconds=duration
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)
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logger.info("Service deletion succeeded",
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service=service_name,
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deleted_counts=result.deleted_counts,
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total_deleted=result.total_deleted,
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duration=duration)
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return result
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elif response.status_code == 404:
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# Service/endpoint doesn't exist yet - not an error
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logger.warning("Service deletion endpoint not found (not yet implemented)",
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service=service_name,
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endpoint=endpoint)
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return ServiceDeletionResult(
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service_name=service_name,
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status=ServiceDeletionStatus.SUCCESS, # Treat as success
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errors=[f"Endpoint not implemented yet: {endpoint}"],
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duration_seconds=duration
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)
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else:
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# Deletion failed
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error_msg = f"HTTP {response.status_code}: {response.text}"
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logger.error("Service deletion failed",
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service=service_name,
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status_code=response.status_code,
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error=error_msg)
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return ServiceDeletionResult(
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service_name=service_name,
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status=ServiceDeletionStatus.FAILED,
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errors=[error_msg],
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duration_seconds=duration
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)
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except httpx.TimeoutException:
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duration = (datetime.now(timezone.utc) - start_time).total_seconds()
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error_msg = f"Request timeout after {duration}s"
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logger.error("Service deletion timeout",
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service=service_name,
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endpoint=endpoint,
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duration=duration)
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return ServiceDeletionResult(
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service_name=service_name,
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status=ServiceDeletionStatus.FAILED,
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errors=[error_msg],
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duration_seconds=duration
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)
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except Exception as e:
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duration = (datetime.now(timezone.utc) - start_time).total_seconds()
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error_msg = f"Exception: {str(e)}"
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logger.error("Service deletion exception",
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service=service_name,
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endpoint=endpoint,
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error=str(e))
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return ServiceDeletionResult(
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service_name=service_name,
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status=ServiceDeletionStatus.FAILED,
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errors=[error_msg],
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duration_seconds=duration
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)
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def get_job_status(self, job_id: str) -> Optional[Dict[str, Any]]:
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"""
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Get status of a deletion job
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Args:
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job_id: Job ID to query
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Returns:
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Job status dict or None if not found
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"""
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job = self.jobs.get(job_id)
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return job.to_dict() if job else None
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def list_jobs(
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self,
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tenant_id: Optional[str] = None,
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status: Optional[DeletionStatus] = None,
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limit: int = 100
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) -> List[Dict[str, Any]]:
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"""
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List deletion jobs with optional filters
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Args:
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tenant_id: Filter by tenant ID
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status: Filter by status
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limit: Maximum number of jobs to return
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Returns:
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List of job dicts
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"""
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jobs = list(self.jobs.values())
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# Apply filters
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if tenant_id:
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jobs = [j for j in jobs if j.tenant_id == tenant_id]
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if status:
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jobs = [j for j in jobs if j.status == status]
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# Sort by started_at descending
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jobs.sort(key=lambda j: j.started_at or "", reverse=True)
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# Apply limit
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jobs = jobs[:limit]
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return [job.to_dict() for job in jobs]
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