[文档] 代码-文档一致性整理 - README 同步 v3 全量(2.1网络/3模块表/4表结构/5 API含people-clips/6.1历史标注/8部署systemd+Vue3+config/12进度); docs/DEPLOY.md 重写为 v3; 删除过时 start_ui.sh(Streamlit); start_edge.sh 注明 systemd 为准; 补提交 test_motion_notifier
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docs/DEPLOY.md
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docs/DEPLOY.md
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# 部署指南
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# 部署指南(v3 运动事件驱动架构,2026-08-22 同步)
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## 1. NAS 端部署 (FAM-Core + FAM-UI + MariaDB)
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### 1.1 MariaDB
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```bash
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# 安装 MariaDB (通过 Synology 套件中心)
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# 确认端口 3306 可用
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# 通过 Synology 套件中心安装 MariaDB(10.11),unix_socket=/run/mysqld/mysqld10.sock
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# 执行 DDL
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python3 scripts/init_db.py --host 127.0.0.1 --port 3306 --user root --password <密码>
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@@ -13,143 +12,80 @@ python3 scripts/init_db.py --host 127.0.0.1 --port 3306 --user root --password <
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### 1.2 FAM-Core
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```bash
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cd /path/to/sentinel-home-ai/fam-core
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cd /volume1/web/sentinel-home-ai/fam-core
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python3 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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# 配置
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cp config/config.yaml.example config/config.yaml
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# 编辑 config.yaml: 数据库密码、Oracle Tailscale IP、token 等
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# 编辑 config.yaml:数据库密码、oracle_sync.base_url/token、motion_notifier(DSM 凭据走 .env)
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# 启动
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./scripts/start_core.sh
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# 或手动: gunicorn -w 1 -b 0.0.0.0:8000 --timeout 120 src.fam_core.app:app
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# 仓库根 .env 提供 DSM_ACCOUNT/DSM_PASSWORD/ORACLE_SYNC_TOKEN(start_core.sh 会 source)
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# 启动(含 Oracle-Sync + MotionNotifier 轮询)
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cd /volume1/web/sentinel-home-ai && bash start_core.sh
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```
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### 1.3 FAM-UI
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### 1.3 FAM-UI(Vue3 SPA,无独立进程)
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```bash
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cd /path/to/sentinel-home-ai/fam-ui
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python3 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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# 配置
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cp config/config.yaml.example config/config.yaml
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# 编辑 config.yaml: 数据库连接、FAM-Core 地址
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# 启动
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./scripts/start_ui.sh
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# 或手动: streamlit run src/app.py --server.port 8501 --server.address 0.0.0.0
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cd /Users/ericwyuan/Desktop/Work/sentinel-home-ai/fam-ui # 本地开发机
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npm install
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npm run build # 产物 fam-ui/dist/
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# 部署 dist 到 NAS(构建产物不入库):
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tar czf - fam-ui/dist | ssh -p 2222 ericwyuan@192.168.50.64 \
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'cd /volume1/web/sentinel-home-ai && rm -rf fam-ui/dist && tar xzf -'
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# 浏览器访问 http://192.168.50.64:8000(由 FAM-Core static_app.py 托管,Vue Router history 回退)
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```
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## 2. Oracle 端部署 (FAM-Edge + Ollama + FFmpeg)
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### 2.1 系统依赖
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```bash
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# FFmpeg
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sudo apt update && sudo apt install -y ffmpeg
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sudo apt update && sudo apt install -y ffmpeg python3-opencv
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# OpenCV 依赖
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sudo apt install -y python3-opencv libopencv-dev
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# Ollama
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# Ollama + qwen2.5:7b(纯文本,仅问答兜底)
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curl -fsSL https://ollama.com/install.sh | sh
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systemctl enable ollama
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systemctl start ollama
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# 拉取模型
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ollama pull llava-phi3
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systemctl enable ollama && systemctl start ollama
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ollama pull qwen2.5:7b
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```
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### 2.2 FAM-Edge
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### 2.2 FAM-Edge(systemd 守护)
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```bash
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cd /path/to/sentinel-home-ai/fam-edge
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cd /opt/fam-edge
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python3 -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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# 配置
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cp config/config.yaml.example config/config.yaml
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# 编辑 config.yaml: NAS Tailscale IP、media_token、Gemini API Key
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# 设置 Gemini API Key 环境变量
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export GEMINI_API_KEY="your-api-key-here"
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# 启动
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./scripts/start_edge.sh
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# 或手动: gunicorn -w 1 -b 0.0.0.0:5000 --timeout 600 src.fam_edge.app:app
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```
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### 2.3 模型可行性压测 (阶段一验证)
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```bash
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# 测试 llava-phi3 单张图推理耗时
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ollama run llava-phi3 "描述这张图片" --images /path/to/test.jpg
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# 预期:
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# - 单张 ≤ 8 秒 → 可行
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# - 单张 ≤ 30 秒 → 可接受
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# - 单张 > 30 秒 → 需换更小模型或减帧
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```
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## 3. Tailscale 组网
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```bash
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# NAS 端
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curl -fsSL https://tailscale.com/install.sh | sh
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sudo tailscale up
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# Oracle 端
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curl -fsSL https://tailscale.com/install.sh | sh
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sudo tailscale up
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# 验证
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# NAS: ping 100.x.x.20 (Oracle Tailscale IP)
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# Oracle: ping 100.x.x.10 (NAS Tailscale IP)
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```
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## 4. 开机自启 (可选)
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### NAS 端 (使用任务计划)
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```bash
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# Synology DSM -> 控制面板 -> 任务计划 -> 新增 -> 触发的任务 -> 开机
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# 脚本:
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cd /path/to/sentinel-home-ai
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./scripts/start_core.sh &
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./scripts/start_ui.sh &
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```
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### Oracle 端 (使用 systemd)
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```bash
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sudo tee /etc/systemd/system/fam-edge.service << 'EOF'
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[Unit]
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Description=FAM-Edge Service
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After=network.target ollama.service
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[Service]
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Type=simple
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User=ubuntu
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WorkingDirectory=/path/to/sentinel-home-ai/fam-edge
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Environment=GEMINI_API_KEY=your-api-key
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ExecStart=/path/to/sentinel-home-ai/fam-edge/venv/bin/gunicorn -w 1 -b 0.0.0.0:5000 --timeout 600 src.fam_edge.app:app
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Restart=always
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RestartSec=10
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[Install]
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WantedBy=multi-user.target
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EOF
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# 配置:config/config.yaml(素材目录/DB/模型/motion_segment);.env 提供 ORACLE_SYNC_TOKEN/GEMINI_API_KEY*/NVIDIA_API_KEY
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# systemd 服务(已配置 /etc/systemd/system/fam-edge.service,Restart=always)
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sudo systemctl enable fam-edge
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sudo systemctl start fam-edge
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sudo systemctl restart fam-edge # 部署代码后必须用 systemctl 重启,勿手动 setsid
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```
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## 5. 验证清单
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## 3. 代码同步(tar 管道,scp 在 NAS 被禁用)
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```bash
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# NAS(fam-core):仓库根即部署根,直接解包
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tar czf - --exclude=venv --exclude=__pycache__ fam-core | \
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ssh -p 2222 ericwyuan@192.168.50.64 'tar xzf - -C /volume1/web/sentinel-home-ai'
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# Oracle(fam-edge):/opt/fam-edge 是 fam-edge 根,--strip-components=1 解临时目录再 cp
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tar czf - --exclude=venv --exclude=__pycache__ --exclude=data --exclude=gdrive_videos fam-edge | \
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ssh ubuntu@129.146.203.203 'mkdir -p /opt/fam-edge/tmp_d && tar xzf - --strip-components=1 -C /opt/fam-edge/tmp_d && \
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cp -rf /opt/fam-edge/tmp_d/* /opt/fam-edge/ && rm -rf /opt/fam-edge/tmp_d && sudo systemctl restart fam-edge'
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```
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## 4. 验证清单
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| 项目 | 命令 | 预期 |
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|------|------|------|
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| NAS MariaDB | `mysql -u root -p -e "SHOW DATABASES"` | 包含 sentinel_home_ai |
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| NAS FAM-Core | `curl http://localhost:8000/health` | `{"status":"ok"}` |
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| NAS FAM-UI | 浏览器访问 `http://192.168.50.64:8501` | Streamlit 页面 |
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| Oracle FAM-Edge | `curl http://localhost:5000/health` | `{"status":"ok"}` |
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| Oracle Ollama | `curl http://localhost:11434/api/tags` | 模型列表含 llava-phi3 |
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| Tailscale | NAS `ping 100.x.x.20` | 通 |
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| NAS 运动监测 | `curl http://localhost:8000/api/ss/status` | `poll_enabled: true, running: true` |
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| NAS FAM-UI | 浏览器访问 `http://192.168.50.64:8000` | Vue3 SPA(时间轴/人物管理/统计) |
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| Oracle FAM-Edge | `curl http://localhost:5000/health` | `{"status":"ok","queue_alive":true}` |
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| Oracle 运动事件 | `sqlite3 /opt/fam-edge/data/oracle.db "SELECT COUNT(*) FROM ss_motion_events"` | >0(NAS 推送) |
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| Oracle 运动片段 | `ls /opt/fam-edge/motion_clips/` | 存在 motion_*.mp4(素材分割产物) |
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| Oracle Ollama | `curl http://localhost:11434/api/tags` | 模型列表含 qwen2.5:7b |
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