Add comprehensive Microsoft Aspire Job Scheduler planning documentation

[Copilot]

This PR adds complete planning documentation for implementing a Microsoft Aspire Job Scheduler solution that transforms the existing RFP Response application into a comprehensive distributed job execution platform.

Overview

The planning documentation covers all aspects needed to implement a production-ready job scheduling system with the following key features:

• 📊 Dashboard: Real-time monitoring of job execution status with SignalR updates
• ⚙️ Configuration: Management interfaces for queues, containers, AI services, and storage
• 📅 Scheduler/Jobs: Create, edit, and manage job definitions with complex scheduling patterns
• 📜 Logs: Comprehensive job execution logging and monitoring with search capabilities
• 🔧 Code Management: Online C#/Python editors with Monaco integration and AI-powered assistance

Documentation Added

Core Planning Documents

• TODO_ASPIRE_JOB_SCHEDULER.md - Master task list with 200+ implementation items organized by functional area, spanning 10 weeks across 5 phases
• Database/AspireJobSchedulerSchema.sql - Complete SQL database schema with 8 core tables, optimized indexes, views, stored procedures, and audit triggers
• AzureServicesConfiguration.md - Step-by-step Azure infrastructure setup with CLI scripts for SQL Database, Service Bus, Blob Storage, and Container Instances
• BlazorComponentsSpecification.md - Detailed specifications for 50+ Blazor components including dashboard widgets, job management interfaces, and AI-powered code editors
• ImplementationRoadmap.md - Comprehensive 10-week development timeline with sprint planning, risk management, and success metrics

Technical Architecture

The solution uses a modern cloud-native architecture:

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Blazor Web    │    │  Job Scheduler  │    │   Job Agents    │
│   Application   │    │    Service      │    │  (Containers)   │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         ▼                       ▼                       ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│  SQL Database   │    │  Service Bus    │    │  Blob Storage   │
│   (Metadata)    │    │   (Queuing)     │    │  (Artifacts)    │
└─────────────────┘    └─────────────────┘    └─────────────────┘

Key Technical Features

• Microsoft Aspire for service orchestration and development experience
• Azure Service Bus for reliable message queuing with retry policies
• Azure Container Instances for scalable, secure job execution
• Entity Framework Core with code-first database approach
• SignalR for real-time dashboard updates
• Monaco Editor integration for syntax-highlighted code editing
• AI Integration extending existing OpenAI capabilities for code assistance

Implementation Phases

1. Phase 1 (Weeks 1-2): Foundation & Infrastructure - Database schema, Azure services, Aspire configuration
2. Phase 2 (Weeks 3-4): Job Scheduling Engine - Background services, Service Bus integration, job agents
3. Phase 3 (Weeks 5-6): Web Application UI - Blazor dashboard, job management, real-time monitoring
4. Phase 4 (Weeks 7-8): AI Integration & Advanced Features - Code assistance, analytics, intelligent alerting
5. Phase 5 (Weeks 9-10): Security, Testing & Production - Hardening, comprehensive testing, deployment

Job Execution Flow

The system implements a comprehensive job execution workflow:

1. Module Creation: Developers upload NuGet packages via the Blazor UI
2. Scheduling: Jobs are configured with complex recurrence patterns (cron expressions, intervals, day-of-week flags)
3. Queuing: The scheduler service places job instances on Service Bus queues
4. Execution: Agent containers consume messages and execute jobs in isolated environments
5. Monitoring: Real-time status updates are broadcast via SignalR to the dashboard
6. Logging: Comprehensive execution logs are stored for debugging and auditing

Next Steps

The documentation provides everything needed to begin implementation:

• Complete database schema ready for deployment
• Azure infrastructure automation scripts
• Detailed component specifications for UI development
• Phase-by-phase implementation guide with clear deliverables

This foundation enables the team to immediately begin Phase 1 implementation while having a clear roadmap for the entire 10-week development cycle.

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