Update Dockerfile

Dockerfile

@@ -1,15 +1,50 @@
-FROM docker.io/library/ubuntu:22.04
+FROM ubuntu:22.04
 
+# 1. 安装系统依赖 + Python
 RUN apt-get update && apt-get install -y \
     wget \
     curl \
     ca-certificates \
+    python3 \
+    python3-pip \
+    python3-venv \
     && rm -rf /var/lib/apt/lists/*
 
+# 2. 设置工作目录
 WORKDIR /app
 
+# 3. 下载 llamafile（可选，如果你需要它）
 RUN curl -L -o llamafile \
     https://github.com/Mozilla-Ocho/llamafile/releases/download/0.9.2/llamafile-0.9.2 \
     && chmod +x llamafile
 
-EXPOSE 7860
+# 4. 安装 Python 依赖
+RUN pip3 install --no-cache-dir fastapi uvicorn
+
+# 5. 生成 app.py（你的 API 接口）
+RUN echo 'import os, subprocess\n\
+from fastapi import FastAPI, Query\n\
+import uvicorn\n\
+app = FastAPI()\n\
+@app.get("/")\n\
+def index():\n\
+    return {"status": "running", "msg": "Welcome to Agent-Reach API"}\n\
+@app.get("/cmd")\n\
+def run_command(q: str = Query(..., description="command")):\n\
+    try:\n\
+        result = subprocess.check_output(q, shell=True, stderr=subprocess.STDOUT, text=True)\n\
+        return {"code": 0, "output": result}\n\
+    except subprocess.CalledProcessError as e:\n\
+        return {"code": 1, "output": e.output}\n\
+if __name__ == "__main__":\n\
+    uvicorn.run(app, host="0.0.0.0", port=7860)\n\
+' > /app/app.py
+
+# 6. 权限（可选）
+RUN chmod -R 777 /app
+
+# 7. 暴露端口
+EXPOSE 7860
+
+# 8. 启动
+CMD ["python3", "/app/app.py"]