Deploy proxy

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.9
+FROM python:3.12
 
 WORKDIR /code
 
@@ -6,11 +6,9 @@ COPY ./requirements.txt /code/requirements.txt
 
 RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
 
-# Set up a new user named "user" with user ID 1000
 RUN useradd -m -u 1000 user
-# Switch to the "user" user
 USER user
-# Set home to the user's home directory
+
 ENV HOME=/home/user \
 	PATH=/home/user/.local/bin:$PATH \
     PYTHONPATH=$HOME/app \
@@ -20,11 +18,9 @@ ENV HOME=/home/user \
 	GRADIO_SERVER_NAME=0.0.0.0 \
 	GRADIO_THEME=huggingface \
 	SYSTEM=spaces
- 
-# Set the working directory to the user's home directory
+
 WORKDIR $HOME/app
 
-# Copy the current directory contents into the container at $HOME/app setting the owner to the user
 COPY --chown=user . $HOME/app
 
-CMD ["python", "app.py"]
+CMD ["python", "app.py"]

app.py

@@ -1,13 +1,123 @@
-import gradio as gr
-def update(name):
-    return f"Welcome to Gradio, {name}!"
-
-with gr.Blocks() as demo:
-    gr.Markdown("Start typing below and then click **Run** to see the output.")
-    with gr.Row():
-        inp = gr.Textbox(placeholder="What is your name?")
-        out = gr.Textbox()
-    btn = gr.Button("Run")
-    btn.click(fn=update, inputs=inp, outputs=out)
-
-demo.launch()
+from fastapi import FastAPI, Request, Response
+from fastapi.responses import JSONResponse, PlainTextResponse
+import httpx
+import os
+import sys
+from collections import deque
+
+app = FastAPI()
+
+# 内存日志队列（最多保存1000条）
+log_buffer = deque(maxlen=1000)
+
+def log_message(msg):
+    """记录日志到内存和标准输出"""
+    log_buffer.append(msg)
+    print(msg, flush=True)
+
+@app.get("/")
+@app.head("/")
+async def root():
+    return {"status": "ok", "service": "HTTP Proxy Node"}
+
+@app.get("/logs")
+async def get_logs():
+    """获取最近的日志"""
+    return PlainTextResponse("\n".join(log_buffer))
+
+@app.post("/api/proxy")
+async def proxy(request: Request):
+    """标准 HTTP 代理 API"""
+    import time
+    start_time = time.time()
+    
+    try:
+        # 解析请求
+        parse_start = time.time()
+        data = await request.json()
+        
+        target_url = data.get("url")
+        method = data.get("method", "GET")
+        headers = data.get("headers", {})
+        body = data.get("body")
+        
+        log_message(f"[PROXY] {method} {target_url[:80]} - parse: {(time.time()-parse_start)*1000:.0f}ms")
+        
+        if not target_url:
+            return JSONResponse(
+                {"error": "Missing url parameter"},
+                status_code=400
+            )
+        
+        # 转换 body（如果是 base64）
+        if body and isinstance(body, str):
+            import base64
+            try:
+                body = base64.b64decode(body)
+            except:
+                body = body.encode('utf-8')
+        
+        # 发送请求（异步）
+        fetch_start = time.time()
+        log_message(f"[FETCH_START] {method} {target_url[:80]}")
+        
+        try:
+            # 设置更详细的超时
+            timeout_config = httpx.Timeout(
+                connect=10.0,  # 连接超时
+                read=30.0,     # 读取超时
+                write=10.0,    # 写入超时
+                pool=10.0      # 连接池超时
+            )
+            
+            async with httpx.AsyncClient(timeout=timeout_config, follow_redirects=True) as client:
+                resp = await client.request(
+                    method=method,
+                    url=target_url,
+                    headers=headers,
+                    content=body
+                )
+            
+            log_message(f"[FETCH] {resp.status_code} {len(resp.content)} bytes - {(time.time()-fetch_start)*1000:.0f}ms")
+        except httpx.TimeoutException as e:
+            error_msg = f"{type(e).__name__}: {str(e) or repr(e)}"
+            log_message(f"[FETCH_TIMEOUT] {error_msg} - {(time.time()-fetch_start)*1000:.0f}ms")
+            raise
+        except httpx.HTTPError as e:
+            error_msg = f"{type(e).__name__}: {str(e) or repr(e)}"
+            log_message(f"[FETCH_HTTP_ERROR] {error_msg} - {(time.time()-fetch_start)*1000:.0f}ms")
+            raise
+        except Exception as fetch_error:
+            error_msg = f"{type(fetch_error).__name__}: {str(fetch_error) or repr(fetch_error)}"
+            log_message(f"[FETCH_ERROR] {error_msg} - {(time.time()-fetch_start)*1000:.0f}ms")
+            import traceback
+            log_message(f"[TRACEBACK] {traceback.format_exc()}")
+            raise
+        
+        # 返回响应（过滤掉会冲突的 headers）
+        response_headers = {}
+        for k, v in resp.headers.items():
+            k_lower = k.lower()
+            # 跳过这些 headers，让 FastAPI 自动处理
+            if k_lower not in ['content-length', 'content-encoding', 'transfer-encoding']:
+                response_headers[k] = v
+        
+        log_message(f"[DONE] Total: {(time.time()-start_time)*1000:.0f}ms")
+        
+        return Response(
+            content=resp.content,
+            status_code=resp.status_code,
+            headers=response_headers
+        )
+        
+    except Exception as e:
+        log_message(f"[ERROR] {str(e)} - {(time.time()-start_time)*1000:.0f}ms")
+        return JSONResponse(
+            {"error": str(e)},
+            status_code=500
+        )
+
+if __name__ == "__main__":
+    import uvicorn
+    port = int(os.environ.get("PORT", 7860))
+    uvicorn.run(app, host="0.0.0.0", port=port)

requirements.txt

@@ -1 +1,3 @@
-gradio==4.5.0
+fastapi
+uvicorn
+httpx