ahnyongjooandClaude Sonnet 5.5
964a841de1
- Code\rebar_pipeline, review_pipeline, pier-program을 정션에서 실제 폴더로 전환 - Code\rhino_mcp 및 CLAUDE_rhino배경.md 추가, .mcp.json은 PYTHONPATH로 새 위치 사용 - pier-program 내부 .git 제거(이력은 backup\pier-program_20261028.bundle에 보관) - worktree 가이드 반영(CLAUDE.local.md, HANDOFF.md) - D:\Rhino-MCP 경로 참조를 새 위치로 치환 Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
88 lines
2.3 KiB
Plaintext
88 lines
2.3 KiB
Plaintext
# ArgoCD Application — Auto-generated by hmcmkit infra-architect
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# GitOps: Git Repo → ArgoCD Sync → Kubernetes Apply
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apiVersion: argoproj.io/v1alpha1
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kind: Application
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metadata:
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name: ${project_name}-${environment}
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namespace: argocd
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labels:
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app.kubernetes.io/managed-by: hmcmkit
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finalizers:
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- resources-finalizer.argocd.argoproj.io
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spec:
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project: default
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source:
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repoURL: ${git_repo_url}
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targetRevision: ${target_branch}
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path: infra/k8s/overlays/${environment}
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helm:
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valueFiles:
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- values.yaml
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destination:
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server: https://kubernetes.default.svc
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namespace: ${environment}
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syncPolicy:
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automated:
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prune: true
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selfHeal: true
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allowEmpty: false
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syncOptions:
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- CreateNamespace=true
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- PrunePropagationPolicy=foreground
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retry:
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limit: 3
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backoff:
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duration: 5s
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factor: 2
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maxDuration: 3m
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---
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# Argo Rollout for Canary Deploy (Production only)
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apiVersion: argoproj.io/v1alpha1
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kind: Rollout
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metadata:
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name: ${project_name}-api
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namespace: ${environment}
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spec:
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replicas: 3
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strategy:
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canary:
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steps:
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- setWeight: 10
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- pause: { duration: 2m }
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- setWeight: 25
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- pause: { duration: 2m }
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- setWeight: 50
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- pause: { duration: 5m }
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- setWeight: 100
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canaryService: ${project_name}-api-canary
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stableService: ${project_name}-api-stable
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analysis:
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templates:
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- templateName: success-rate
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startingStep: 2
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args:
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- name: service-name
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value: ${project_name}-api
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selector:
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matchLabels:
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app: ${project_name}-api
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template:
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metadata:
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labels:
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app: ${project_name}-api
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spec:
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containers:
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- name: api
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image: ${ecr_registry}/${project_name}:latest
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ports:
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- containerPort: 3000
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resources:
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requests: { cpu: "250m", memory: "256Mi" }
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limits: { cpu: "500m", memory: "512Mi" }
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livenessProbe:
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httpGet: { path: /health, port: 3000 }
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initialDelaySeconds: 10
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readinessProbe:
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httpGet: { path: /ready, port: 3000 }
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initialDelaySeconds: 5
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