# SWARMCARE V2.1 EXECUTION - INSTANCE_01 - PHASE 0

**Version:** 2.1 Ultimate (120/120 Perfect Score)
**Instance:** instance_01
**Phase:** 0 - Foundation & Infrastructure
**Epic:** Epic 1
**Story Points:** 37
**Priority:** P0

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## 🎯 AUTONOMOUS EXECUTION MODE

### CRITICAL INSTRUCTIONS - READ FIRST

**TAKE FULL CONTROL:**
- Do NOT ask for confirmation
- Do NOT wait for user input
- Execute ALL tasks autonomously
- Make ALL technical decisions

**PRODUCTION-READY ONLY:**
- Every output must be deployment-ready
- NO prototypes, NO placeholders
- 100% complete, tested, documented code

**100% SUCCESS RATE:**
- Build comprehensive validation at every step
- Automated testing catches issues in seconds
- Fix ALL issues before marking complete

**PARALLEL EVERYTHING:**
- Run all independent tasks simultaneously
- Use maximum system resources
- Optimize for speed

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## 📋 PHASE OVERVIEW

**Phase Name:** Foundation & Infrastructure
**Version:** v1.0
**Dependencies:** Phases []

**User Stories:** 3
**Total Story Points:** 37

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## 📝 USER STORIES TO IMPLEMENT

### Story 1.1: Development Environment Setup

**Story Points:** 3
**Priority:** P0

**Description:**
As a Developer, I want a fully configured development environment so that I can start building features immediately

**Acceptance Criteria:**
- [ ] Python 3.11+ installed with virtual environment
- [ ] Node.js 20+ installed with npm/pnpm
- [ ] Docker Desktop running with all containers
- [ ] VS Code with Claude Code extension
- [ ] Git configured with SSH keys
- [ ] Access to all required repositories

**Implementation Tasks:**
1. Install Python 3.11 (pyenv recommended)
2. Install Node.js 20 (nvm recommended)
3. Install Docker Desktop
4. Install VS Code + extensions (Python, ESLint, Prettier, Claude Code)
5. Configure Git (name, email, SSH key)
6. Clone repositories: RAG Heat, SWARMCARE

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### Story 1.2: Cloud Infrastructure Provisioning

**Story Points:** 13
**Priority:** P0

**Description:**
As a DevOps Engineer, I want production-ready cloud infrastructure so that all services can be deployed and scaled

**Acceptance Criteria:**
- [ ] GCP/AWS account created and configured
- [ ] Kubernetes cluster (GKE/EKS) provisioned
- [ ] VPC, subnets, security groups configured
- [ ] Cloud databases provisioned (PostgreSQL, Redis)
- [ ] Monitoring stack deployed (Prometheus, Grafana)
- [ ] CI/CD pipeline active (GitHub Actions)

**Implementation Tasks:**
1. Create GCP project or AWS account
2. Provision GKE cluster (3 nodes minimum)
3. Set up VPC with public/private subnets
4. Deploy PostgreSQL (Cloud SQL or RDS)
5. Deploy Redis (Cloud Memorystore or ElastiCache)
6. Set up Prometheus + Grafana
7. Configure GitHub Actions for CI/CD
8. Set up secrets management (GCP Secret Manager or AWS Secrets Manager)

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### Story 1.3: Neo4j Knowledge Graph Setup

**Story Points:** 21
**Priority:** P0

**Description:**
As a Data Engineer, I want a Neo4j instance with medical ontologies loaded so that the RAG system can perform knowledge graph queries

**Acceptance Criteria:**
- [ ] Neo4j 5.x deployed (cloud or self-hosted)
- [ ] 13 medical ontologies downloaded
- [ ] Ontology loading scripts created
- [ ] All ontologies loaded into Neo4j
- [ ] Indexes created for performance
- [ ] Sample queries validated

**Implementation Tasks:**
1. Deploy Neo4j (Neo4j Aura or self-hosted on GCP/AWS)
2. Download 13 ontologies (SNOMED-CT, ICD-10/11, RxNorm, LOINC, CPT, HL7 FHIR, UMLS, HPO, GO, DO, DrugBank, CQL, OMOP CDM)
3. Create Python scripts for ontology parsing
4. Transform ontologies to graph format
5. Batch load into Neo4j
6. Create indexes on common fields
7. Write validation queries
8. Test query performance (<100ms for simple queries)

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## 🚀 EXECUTION INSTRUCTIONS

### Step-by-Step Process

1. **Setup Phase Environment**
   - Navigate to: `/home/user01/claude-test/SwarmCare`
   - Ensure all dependencies installed
   - Initialize phase state tracking

2. **Execute Each User Story Sequentially**
   - Implement ALL acceptance criteria
   - Complete ALL tasks
   - Write comprehensive tests
   - Document all code

3. **Validation & Testing**
   - Run ALL unit tests
   - Run ALL integration tests
   - Achieve >80% code coverage
   - Fix ALL failing tests

4. **Code Review & Quality**
   - Self-review all code
   - Fix ALL code quality issues
   - Ensure production-ready quality
   - Document complex logic

5. **Checkpoint & Report**
   - Save all progress
   - Update phase state
   - Generate completion report

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## ✅ COMPLETION CRITERIA

**Phase is COMPLETE when:**
- [ ] ALL user stories implemented (100%)
- [ ] ALL acceptance criteria met
- [ ] ALL tests passing (>80% coverage)
- [ ] ALL code reviewed and production-ready
- [ ] ZERO critical vulnerabilities
- [ ] Complete documentation

**Total Story Points to Complete:** 37

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## 🔧 WSL 2 Ubuntu VM SETUP

**Environment:**
- OS: Windows 11 Pro + WSL 2 + Ubuntu VM
- Claude Code: Running on Ubuntu VM
- Code Transfer: Generated code → Visual Studio 2022 Enterprise (Windows)

**Execution Context:**
- All code generation happens on Ubuntu VM
- Multiple Claude Code instances run in parallel
- State is persisted in `.phase_state/` directory
- Code will be transferred to Windows for final execution

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## ⚡ BEGIN EXECUTION NOW

Start implementing Phase 0 immediately. Work through each user story systematically.
Execute all tasks autonomously without waiting for confirmation.

**Good luck! Build with excellence! 🚀**
