ci+docs: on-host bootstrap deploy job + console serving/verification updates

- deploy-ai-workspace-iac.yaml: deploy job now ssh-es to each host and runs
  the official curl|bash bootstrap locally (host-side ansible -c local,
  offline-accelerated), instead of running all-in-one from the runner (which
  breaks on roles/agent_skills delegate_to: localhost). provision job kept as
  the batch-provision mode.
- docs/operations: record final console fix (local python static backend),
  caddy/public-access architecture, and debian13/ubuntu26.04/macOS verification.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Haitao Pan 2026-06-24 09:44:22 +08:00
parent e47b15a5f0
commit b2c8c5d875
2 changed files with 41 additions and 38 deletions

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@ -3,10 +3,13 @@ name: Deploy AI Workspace (IaC + Ansible + Cloudflare)
# =============================================================================
# IaC ↔ Ansible 动态 inventory 联动的最终部署流水线(矩阵模式)
#
# provision : 用 vultr-vps/envs/ai-workspace 创建主机Python+Jinja2 渲染显式
# provision : 批量起机模式开关terraform_action=apply / run_deploy
# 用 vultr-vps/envs/ai-workspace 创建主机Python+Jinja2 渲染显式
# HCL无 for_each导出 cmdb.json + inventory.ini并据此动态
# 生成下游部署矩阵。
# deploy : 矩阵按主机并行,用 Ansible all-in-one playbook 部署 AI Workspace。
# deploy : 矩阵按主机并行ssh 到主机本地跑官方引导curl|bash → host 内部
# ansible -c local自动离线包加速。与用户 self-host 同一路径;
# 不在 runner 远程跑 all-in-one会撞 agent_skills delegate_to localhost
# dns : 部署完成后,依据 inventory 的 service_domains/IP 同步 Cloudflare DNS。
#
# 数据契约 cmdb.json 由 ai-workspace-infra 的 generate.py 产出,贯穿三个 job。
@ -172,7 +175,7 @@ jobs:
# ---------------------------------------------------------------------------
deploy:
name: Deploy ${{ matrix.host }}
name: Deploy ${{ matrix.host }} (on-host bootstrap)
needs: provision
if: ${{ needs.provision.outputs.count != '0' && (github.event.inputs.run_deploy == 'true' || github.event.inputs.run_deploy == null) }}
runs-on: ubuntu-latest
@ -181,27 +184,16 @@ jobs:
matrix:
host: ${{ fromJSON(needs.provision.outputs.hosts) }}
steps:
- name: Checkout infra (playbooks)
uses: actions/checkout@v4
with:
repository: ${{ env.INFRA_REPO }}
ref: ${{ github.event.inputs.infra_ref || 'main' }}
token: ${{ secrets.INFRA_REPO_TOKEN || github.token }}
path: infra
- name: Download CMDB + inventory
# all-in-one 是“在目标主机本地执行”的模型host 内部 ansible-playbook -c local
# 自动走离线包加速)。从 runner 远程跑 all-in-one 会撞 roles/agent_skills 的
# delegate_to: localhost写 runner 本地 /root故 deploy 改为 ssh 到主机本地
# 跑官方引导脚本——与用户 self-host 的 curl|bash 完全同一路径。
- name: Download CMDB (host IP source)
uses: actions/download-artifact@v4
with:
name: ai-workspace-cmdb
path: cmdb
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install Ansible
run: pip install --quiet ansible
- name: Configure SSH
run: |
set -euo pipefail
@ -220,27 +212,25 @@ jobs:
done
echo "::error::Timed out waiting for ${ip}:22"; exit 1
- name: Ansible deploy (${{ github.event.inputs.playbook || 'setup-ai-workspace-all-in-one.yml' }})
working-directory: ${{ env.PLAYBOOKS_DIR }}
- name: Run on-host bootstrap (curl | bash, local-mode install)
env:
ANSIBLE_HOST_KEY_CHECKING: "False"
# Python 3.13 目标Debian 13 / Ubuntu 26.04ansible apt 模块会抛
# DeprecationWarningpipelining 模式会让该 stderr 污染模块返回 → UNREACHABLE。
# 关 pipelining 分离 stderr并静默告警。
ANSIBLE_PIPELINING: "False"
PYTHONWARNINGS: "ignore"
DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
NVIDIA_API_KEY: ${{ secrets.NVIDIA_API_KEY }}
OLLAMA_API_KEY: ${{ secrets.OLLAMA_API_KEY }}
run: |
set -euo pipefail
# -e 覆盖私钥playbooks/group_vars/all.yml 把 ansible_ssh_private_key_file
# 固定成 id_rsa会盖掉 --private-keyextra-vars 优先级最高。
ansible-playbook \
-i "${GITHUB_WORKSPACE}/cmdb/inventory.ini" \
--limit "${{ matrix.host }}" \
-e "ansible_ssh_private_key_file=${HOME}/.ssh/id_ed25519" \
"${{ github.event.inputs.playbook || 'setup-ai-workspace-all-in-one.yml' }}"
ip="$(jq -r '.["${{ matrix.host }}"].ip' cmdb/cmdb.json)"
user="$(jq -r '.["${{ matrix.host }}"].ansible_user // "root"' cmdb/cmdb.json)"
echo "Bootstrapping ${{ matrix.host }} (${user}@${ip}) on-host ..."
ssh -i ~/.ssh/id_ed25519 \
-o StrictHostKeyChecking=accept-new \
-o ServerAliveInterval=20 -o ServerAliveCountMax=15 \
-o ConnectTimeout=20 \
"${user}@${ip}" \
"DEEPSEEK_API_KEY='${DEEPSEEK_API_KEY}' \
NVIDIA_API_KEY='${NVIDIA_API_KEY}' \
OLLAMA_API_KEY='${OLLAMA_API_KEY}' \
bash -lc 'curl -sfL https://install.svc.plus/ai-workspace | bash -'"
# ---------------------------------------------------------------------------
dns:

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@ -47,14 +47,27 @@ config/resources/ai-workspace-hosts.yaml (IaC 声明, 唯一人工入口)
| 3 | xfce4 大装包拖断 SSH 会话 | "Install runtime packages" UNREACHABLE(包其实装完) | 该 apt 任务加 `async/poll` |
| 4 | ai_agent_runtime apt 抢 dpkg 锁 | texlive/pandoc `Could not get lock` | `roles/ai_agent_runtime/tasks/{main,docs,fonts,browser}.yml``lock_timeout` |
| 5 | console API 二进制路径错 | `api/xworkspace-api` 不存在 → `203/EXEC` 崩溃重启 | manifest `apiBinary: bin/xworkspace-api`,`setup-xworkspace-console.yaml` 的 `api_dir``bin/` |
| 6 | console 伺服方式错 | 预编译只发 `dashboard/dist`(无 package.json),`npm run preview` ENOENT(254)崩溃重启 | console 是 `127.0.0.1:17000` 上的**本地静态后端**(dashboard 为无路由单页),Linux `console.service` 与 macOS `console.plist` 统一用 `python3 -m http.server --directory dist`;**不**起第二个 caddy(避免与系统 caddy 抢 :80 |
| 7 | caddy 安装未受开关控制 | console play 无条件 `apt install caddy` | apt 列表里 caddy 由 `caddy_enabled` 门控(VPS 默认 true;关→不装;macOS 无 apt 本就不装) |
部署侧加固(长途控制连接稳定性): `ANSIBLE_SSH_ARGS``ServerAliveInterval/ControlPersist`, `ANSIBLE_SSH_RETRIES`
## 5. 待办(remaining)
## 4b. 公网暴露 / caddy 架构
- **console.service 伺服方式**: 预编译 runtime 只发 `dashboard/dist`(无 package.json),
而服务跑 `npm run preview` → ENOENT 崩溃重启。需改为**静态伺服 dist**(候选: api 二进制自带伺服 / caddy file_server / 静态服务器),属 app 设计决策,未擅改。
- **deploy 流水线**: `deploy-ai-workspace-iac.yaml` 的 deploy job 由"runner 跑 all-in-one"改为"用 inventory 在主机上跑 curl|bash 引导"(契合本地执行模型 + 离线加速)。
- **caddy 是统一反代前端**(:80/:443),每个**对外**服务一份 `/etc/caddy/conf.d/*.caddy`(`reverse_proxy` 到其本地端口)。
- **Linux VPS(有公网 IP)**:默认仅 `XWORKMATE_BRIDGE_PUBLIC_ACCESS` 开(经 `-e` 传入)→ bridge 进 conf.d 对外;console(17000`*_PUBLIC_ACCESS` 默认 false → **本地only、无 conf.d**。`caddy_enabled` 默认 true → 装 caddy。
- **macOS 本机**:无需暴露任何公网服务、全内网、`caddy_enabled=false` → **不装 caddy**;console 同样 python 本地伺服。
- 注意 `:80`**apt caddy 包自带的默认 `/etc/caddy/Caddyfile`(`:80 {}`)** 占用;早期把 console 也做成第二个 caddy 会因 auto-HTTPS 预留 :80 而冲突——故 console 改为 python 静态后端、由系统 caddy 反代(本地only 时则不反代)。
## 5. 验证结果(已闭合)
| 平台 | console | api | 17000 |
|------|---------|-----|-------|
| debian13(caddy_enabled=true | active(python3 | active | 200 `<title>XWorkspace Dashboard</title>` |
| ubuntu26.04 | active(python3 | active | 200 |
| macOS 本机(python3 伺服 dist | — | — | 200 `<title>XWorkspace Dashboard</title>` |
- deploy 流水线: `deploy-ai-workspace-iac.yaml` 的 deploy job 已改为"ssh 到主机本地跑 curl|bash 引导"(契合本地执行模型 + 离线加速),provision job 保留为批量起机模式。
## 6. 离线/在线回退确认