39 lines
1.6 KiB
YAML
39 lines
1.6 KiB
YAML
# ============================================================
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# ai-agent dev 分支自动发布
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# 触发：push dev 分支
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# 流程：构建镜像 -> push 本地仓库(127.0.0.1:5000) -> 部署到 dev 宿主机本地 k3s
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# 前置：runner 挂载 dev k3s kubeconfig 到 /root/.kube/k3s-dev.yaml
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# ============================================================
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name: Deploy ai-agent to dev k3s
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on:
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push:
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branches: [ master ]
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jobs:
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build-and-deploy:
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runs-on: ubuntu-latest
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steps:
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# 不依赖 actions/checkout（从 github.com 拉 action 源码，国内网络不稳定），
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# 直接 clone 本地 Gitea，用 Actions 注入的 GITHUB_TOKEN 认证
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- name: 拉取代码
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run: |
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git clone --branch dev http://x-access-token:${GITHUB_TOKEN}@127.0.0.1:3000/red-future/ai-agent.git .
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git checkout ${GITHUB_SHA}
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- name: 构建并推送镜像
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run: |
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TAG=dev-${GITHUB_SHA::8}
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# context 为仓库根：镜像内含 Flutter web 前端（Dockerfile web-builder stage）
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docker build -t 127.0.0.1:5000/ai-agent:${TAG} -f server/Dockerfile .
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docker push 127.0.0.1:5000/ai-agent:${TAG}
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- name: 部署到 dev k3s
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env:
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KUBECONFIG: /root/.kube/k3s-dev.yaml
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run: |
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kubectl create namespace dev --dry-run=client -o yaml | kubectl apply -f -
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kubectl apply -f deploy/k8s/ai-agent.yaml
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kubectl set image deployment/ai-agent ai-agent=127.0.0.1:5000/ai-agent:dev-${GITHUB_SHA::8} -n dev
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kubectl rollout status deployment/ai-agent -n dev --timeout=5m
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