81 lines
2.2 KiB
Plaintext
81 lines
2.2 KiB
Plaintext
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# 语料采集系统 · Corpus Agent
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# Nginx路由配置 —— 添加到 guanghulab-cvm.conf
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# 语料采集服务 (Corpus-Agent)
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# 内网地址: 127.0.0.1:8084 → 对外路径: /corpus/
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# 需要替换 YOUR_CORPUS_TOKEN 为实际值
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# 方案A：有独立域名的子路径
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# location /corpus/ {
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# proxy_pass http://127.0.0.1:8084/;
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# proxy_set_header Host $host;
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# proxy_set_header X-Real-IP $remote_addr;
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# proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
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# proxy_set_header X-Forwarded-Proto $scheme;
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#
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# # WebSocket支持（Mac客户端实时采集用）
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# proxy_http_version 1.1;
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# proxy_set_header Upgrade $http_upgrade;
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# proxy_set_header Connection "upgrade";
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# proxy_read_timeout 86400;
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# }
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# 方案B：直接绑定到 guanghulab.com/corpus
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# 将以下代码插入到 /workspace/guanghulab/server/nginx/guanghulab-cvm.conf
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"""
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server {
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listen 443 ssl;
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server_name guanghulab.com;
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# ... 已有配置 ...
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# === 语料采集服务 ===
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location /corpus/ {
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proxy_pass http://127.0.0.1:8084/;
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
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proxy_set_header X-Forwarded-Proto $scheme;
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# WebSocket
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proxy_http_version 1.1;
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proxy_set_header Upgrade $http_upgrade;
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proxy_set_header Connection "upgrade";
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proxy_read_timeout 86400s;
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proxy_send_timeout 86400s;
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}
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}
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"""
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# 部署步骤：
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# 1. 将 corpus-agent 目录上传到服务器
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# 2. 安装依赖: pip install -r requirements.txt
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# 3. 配置 systemd 或 pm2 开机自启
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# 4. 添加 nginx 路由
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# 5. 重启 nginx
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# PM2启动命令：
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# pm2 start "cd /path/to/corpus-agent && python3 server.py" --name corpus-agent
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# Systemd Service:
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"""
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[Unit]
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Description=Corpus Agent Service
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After=network.target
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[Service]
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Type=simple
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User=root
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WorkingDirectory=/path/to/corpus-agent
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Environment=CORPUS_HOST=0.0.0.0
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Environment=CORPUS_PORT=8084
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Environment=CORPUS_DATA_DIR=/data/corpus
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ExecStart=/usr/bin/python3 /path/to/corpus-agent/server.py
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Restart=always
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RestartSec=5
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[Install]
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WantedBy=multi-user.target
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"""
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