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Set up Docker Compose for development environment #235

@Hyperkit-dev

Description

@Hyperkit-dev

🎯 Layer 1: Intent Parsing

What needs to be done?

Task Title:

Set up Docker Compose for development environment

Area: infra | Repos: infra/

Primary Goal:

Configure Docker Compose to orchestrate all HyperAgent services locally, enabling developers to run the entire platform stack with a single command

User Story / Context:

As a developer, I want Docker Compose configured for the development environment so that I can quickly spin up all HyperAgent services locally without manual configuration

Business Impact:

Significantly reduces developer onboarding time and setup complexity. Enables consistent local development environments. Supports Phase 1 Foundation goals.

Task Metadata:


📚 Layer 2: Knowledge Retrieval

What information do I need?

Required Skills / Knowledge:

  • DevOps/Infra (Docker, Docker Compose)
  • Container orchestration
  • Service dependencies and networking

Estimated Effort:

M (Medium - 3-5 days)

Knowledge Resources:

  • Review .cursor/skills/ for relevant patterns (devops-engineer)
  • Check .cursor/llm/docs/ for implementation examples
  • Read Platform Blueprint: docs/draft.md
  • Read System Architecture: docs/planning/4-System-Architecture-Design.md
  • Read Execution Strategy: docs/reference/spec/execute.md
  • Study tech docs / ADRs in docs/adrs/ directory
  • Review Docker Compose best practices

Architecture Context:

According to the Platform Blueprint, HyperAgent uses a microservice architecture with orchestrator, agent services, and core services. Docker Compose will orchestrate all these services along with dependencies (PostgreSQL, Redis, etc.).

System Architecture Diagram:

graph TB
    subgraph "Docker Compose Services"
        Orchestrator[Orchestrator Service]
        SpecAgent[SpecAgent]
        CodeGen[CodeGenAgent]
        Audit[AuditAgent]
        Deploy[DeployAgent]
        Monitor[MonitorAgent]
        Frontend[Frontend App]
    end
    
    subgraph "Dependencies"
        Postgres[(PostgreSQL)]
        Redis[(Redis)]
        VectorDB[(VectorDB)]
    end
    
    Orchestrator --> Postgres
    Orchestrator --> Redis
    SpecAgent --> VectorDB
    CodeGen --> VectorDB
    Frontend --> Orchestrator
    Orchestrator --> SpecAgent
    Orchestrator --> CodeGen
    Orchestrator --> Audit
    Orchestrator --> Deploy
    Orchestrator --> Monitor
Loading

Code Examples & Patterns:

Docker Compose Example:

version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_DB: hyperagent_dev
      POSTGRES_USER: hyperagent
      POSTGRES_PASSWORD: dev_password
    ports:
      - "5432:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"

  orchestrator:
    build: ./services/orchestrator
    environment:
      DATABASE_URL: postgresql://hyperagent:dev_password@postgres:5432/hyperagent_dev
      REDIS_URL: redis://redis:6379
    depends_on:
      - postgres
      - redis
    ports:
      - "8000:8000"

volumes:
  postgres_data:

⚠️ Layer 3: Constraint Analysis

What constraints and dependencies exist?

Known Dependencies:

Technical Constraints:

Scope limited to development environment Docker Compose setup. Production deployment configurations tracked separately.

Current Blockers:

None identified (update as work progresses)

Risk Assessment & Mitigations:

Risk of resource exhaustion on developer machines. Mitigation: Use appropriate resource limits, document minimum system requirements, provide lightweight alternative configurations.

Resource Constraints:

  • Deadline: Feb 5–17 (Sprint 1)
  • Effort Estimate: M (Medium - 3-5 days)

💡 Layer 4: Solution Generation

How should this be implemented?

Solution Approach:

Create docker-compose.yml with:

  1. All service definitions (orchestrator, agents, frontend)
  2. Dependency services (PostgreSQL, Redis)
  3. Networking configuration
  4. Volume mounts for development
  5. Environment variable configuration
  6. Health checks and dependency ordering
  7. Development-specific optimizations (hot reload, debug ports)

Design Considerations:

  • Follow established patterns from .cursor/skills/devops-engineer
  • Maintain consistency with existing Docker configurations
  • Consider resource usage and performance
  • Ensure proper service dependencies and startup order
  • Plan for testing and validation
  • Support hot reload for development efficiency

Acceptance Criteria (Solution Validation):

  • Docker Compose file created with all services
  • All services start successfully
  • Service dependencies and networking configured correctly
  • Health checks implemented
  • Development optimizations (hot reload) working
  • Documentation updated with usage instructions
  • Code reviewed and approved

📋 Layer 5: Execution Planning

What are the concrete steps?

Implementation Steps:

  1. Review all service requirements and dependencies
  2. Design Docker Compose service structure
  3. Create base docker-compose.yml file
  4. Add PostgreSQL service configuration
  5. Add Redis service configuration
  6. Add orchestrator service configuration
  7. Add agent services configurations
  8. Add frontend service configuration (if applicable)
  9. Configure networking and volumes
  10. Add health checks and dependency ordering
  11. Test all services start correctly
  12. Document usage and troubleshooting
  13. Code review and approval

Environment Setup:
Repos / Services:

  • Infra / IaC repo: hyperagent/infra/
  • Local development machine with Docker installed

Required Environment Variables:

Access & Credentials:

  • Docker access: Local Docker daemon
  • Access request: Contact @devops or project lead

✅ Layer 6: Output Formatting & Validation

How do we ensure quality delivery?

Ownership & Collaboration:

Quality Gates:

  • Code follows project style guide (see .cursor/rules/rules.mdc)
  • All services start and run correctly
  • No critical lint/security issues
  • Documentation updated (README, setup guide)
  • Meets all acceptance criteria from Layer 4
  • Follows production standards (see .cursor/rules/production.mdc)

Review Checklist:

  • Code review approved by @ArhonJay
  • Docker Compose file validated
  • All services tested and working
  • Security scan passes (no critical vulnerabilities)
  • Documentation complete and accurate

Delivery Status:

  • Initial Status: To Do
  • Progress Tracking: Use issue comments for updates
  • Sign-off: Approved by @Hyperionkit on [YYYY-MM-DD]
  • PR Link: [Link to merged PR(s)]

Related Issues:

Documentation References:

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