Update from GitHub Actions

.cnb.yml

@@ -0,0 +1,10 @@
+master:
+  push:
+    - docker:
+        image: node:18
+      imports: https://cnb.cool/godgodgame/oci-private-key/-/blob/main/envs.yml
+      stages:
+        - name: 环境检查
+          script: echo $GITHUB_TOKEN_GK && echo $GITHUB_TOKEN && node -v && npm -v
+        - name: 将master分支同步更新到github的main分支
+          script: git push https://$GITHUB_TOKEN_GK:[email protected]/zhezzma/scraper-proxy.git HEAD:main

.python-version

@@ -0,0 +1 @@
+3.13

Dockerfile

@@ -0,0 +1,18 @@
+FROM python:3.13-slim
+
+WORKDIR /app
+
+# 复制依赖文件
+COPY requirements.txt .
+
+# 安装依赖
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 复制项目文件
+COPY . .
+
+# 暴露端口
+EXPOSE 7860
+
+# 启动命令
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

@@ -0,0 +1,138 @@
+import cloudscraper
+from fastapi import FastAPI, HTTPException, Request, Response
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import StreamingResponse
+from typing import Optional
+import uvicorn
+import asyncio
+
+app = FastAPI(
+    title="ScraperCookie",
+    description="一个使用CloudScraper进行请求转发的代理，支持流式响应",
+    version="0.1.0"
+)
+
+# 添加CORS中间件
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+async def stream_generator(response):
+    """生成流式响应的生成器函数"""
+    for chunk in response.iter_content(chunk_size=8192):
+        if chunk:
+            yield chunk
+            await asyncio.sleep(0.001)  # 让出控制权，保持异步特性
+
+@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE", "OPTIONS", "HEAD", "PATCH"])
+async def proxy(request: Request, path: str, target_url: Optional[str] = None):
+    """
+    通用代理端点，转发所有请求到目标URL，支持流式响应
+    """
+    try:
+        # 获取请求方法
+        method = request.method
+        
+        # 获取目标URL
+        if not target_url:
+            target_url = request.query_params.get("url")
+            if not target_url:
+                raise HTTPException(status_code=400, detail="必须提供目标URL")
+        
+        # 获取原始请求头
+        headers = dict(request.headers)
+        # 移除可能导致问题的头
+        headers.pop("host", None)
+        headers.pop("content-length", None)
+        
+        # 检查是否请求流式响应
+        stream_request = "stream" in request.query_params and request.query_params["stream"].lower() in ["true", "1", "yes"]
+        
+        # 创建cloudscraper实例
+        scraper = cloudscraper.create_scraper()
+        
+        # 获取请求体
+        body = await request.body()
+        
+        # 获取查询参数
+        params = dict(request.query_params)
+        # 从查询参数中移除url和stream参数
+        params.pop("url", None)
+        params.pop("stream", None)
+        
+        # 构建请求参数
+        request_kwargs = {
+            "url": target_url,
+            "headers": headers,
+            "params": params,
+            "stream": stream_request  # 设置stream参数
+        }
+        
+        # 如果有请求体，添加到请求参数中
+        if body:
+            request_kwargs["data"] = body
+        
+        # 发送请求
+        if method == "GET":
+            response = scraper.get(**request_kwargs)
+        elif method == "POST":
+            response = scraper.post(**request_kwargs)
+        elif method == "PUT":
+            response = scraper.put(**request_kwargs)
+        elif method == "DELETE":
+            response = scraper.delete(**request_kwargs)
+        elif method == "HEAD":
+            response = scraper.head(**request_kwargs)
+        elif method == "OPTIONS":
+            response = scraper.options(**request_kwargs)
+        elif method == "PATCH":
+            response = scraper.patch(**request_kwargs)
+        else:
+            raise HTTPException(status_code=405, detail=f"不支持的方法: {method}")
+        
+        # 处理流式响应
+        if stream_request:
+            # 创建响应头字典
+            headers_dict = {}
+            for header_name, header_value in response.headers.items():
+                if header_name.lower() not in ('content-encoding', 'transfer-encoding', 'content-length'):
+                    headers_dict[header_name] = header_value
+            
+            # 返回流式响应
+            return StreamingResponse(
+                stream_generator(response),
+                status_code=response.status_code,
+                headers=headers_dict,
+                media_type=response.headers.get("content-type", "application/octet-stream")
+            )
+        else:
+            # 创建普通响应
+            proxy_response = Response(
+                content=response.content,
+                status_code=response.status_code,
+            )
+            
+            # 转发响应头
+            for header_name, header_value in response.headers.items():
+                if header_name.lower() not in ('content-encoding', 'transfer-encoding', 'content-length'):
+                    proxy_response.headers[header_name] = header_value
+                    
+            # 转发cookies
+            for cookie_name, cookie_value in response.cookies.items():
+                proxy_response.set_cookie(key=cookie_name, value=cookie_value)
+                
+            return proxy_response
+        
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"代理请求失败: {str(e)}")
+
+@app.get("/")
+async def root():
+    return {"message": "欢迎使用ScraperProxy API，访问 /docs 查看API文档"}
+
+if __name__ == "__main__":
+    uvicorn.run("main:app", host="0.0.0.0", port=7860, reload=True)

pyproject.toml

@@ -0,0 +1,27 @@
+[project]
+name = "scrapercookie"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "chardet>=5.2.0",
+    "cloudscraper>=1.2.71",
+    "fastapi>=0.115.10",
+    "pydantic>=2.10.6",
+    "typing-extensions>=4.12.2",
+    "uvicorn>=0.34.0",
+]
+
+[tool.uv]
+index-url = "https://mirrors.aliyun.com/pypi/simple/"
+
+[dependency-groups]
+dev = [
+    "poethepoet>=0.32.1",
+]
+[tool.poe.tasks]
+start = "uv run main.py"
+dev = "uvicorn main:app --reload --port 7860"
+test = "uv run test.py"
+freeze =  { shell = "uv pip compile pyproject.toml -o requirements.txt" }

requirements.txt

@@ -0,0 +1,54 @@
+# This file was autogenerated by uv via the following command:
+#    uv pip compile pyproject.toml -o requirements.txt
+annotated-types==0.7.0
+    # via pydantic
+anyio==4.8.0
+    # via starlette
+certifi==2025.1.31
+    # via requests
+chardet==5.2.0
+    # via scrapercookie (pyproject.toml)
+charset-normalizer==3.4.1
+    # via requests
+click==8.1.8
+    # via uvicorn
+cloudscraper==1.2.71
+    # via scrapercookie (pyproject.toml)
+colorama==0.4.6
+    # via click
+fastapi==0.115.10
+    # via scrapercookie (pyproject.toml)
+h11==0.14.0
+    # via uvicorn
+idna==3.10
+    # via
+    #   anyio
+    #   requests
+pydantic==2.10.6
+    # via
+    #   scrapercookie (pyproject.toml)
+    #   fastapi
+pydantic-core==2.27.2
+    # via pydantic
+pyparsing==3.2.1
+    # via cloudscraper
+requests==2.32.3
+    # via
+    #   cloudscraper
+    #   requests-toolbelt
+requests-toolbelt==1.0.0
+    # via cloudscraper
+sniffio==1.3.1
+    # via anyio
+starlette==0.46.0
+    # via fastapi
+typing-extensions==4.12.2
+    # via
+    #   scrapercookie (pyproject.toml)
+    #   fastapi
+    #   pydantic
+    #   pydantic-core
+urllib3==2.3.0
+    # via requests
+uvicorn==0.34.0
+    # via scrapercookie (pyproject.toml)

test.py

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+import cloudscraper
+import json
+import time
+import requests
+
+
+# Define the URL
+url = "https://grok.com/rest/app-chat/conversations/new"
+
+# Define headers
+headers = {
+    "sec-fetch-dest": "document",
+}
+
+# Define the request body
+payload = {
+    "temporary": False,
+    "modelName": "grok-3",
+    "message": "你好",
+    "fileAttachments": [],
+    "imageAttachments": [],
+    "disableSearch": False,
+    "enableImageGeneration": True,
+    "returnImageBytes": False,
+    "returnRawGrokInXaiRequest": False,
+    "enableImageStreaming": True,
+    "imageGenerationCount": 2,
+    "forceConcise": False,
+    "toolOverrides": {},
+    "enableSideBySide": True,
+    "isPreset": False,
+    "sendFinalMetadata": True,
+    "customInstructions": "",
+    "deepsearchPreset": "",
+    "isReasoning": False
+}
+
+# Set cookies
+cookies = {
+    "sso": "eyJhbGciOiJIUzI1NiJ9.eyJzZXNzaW9uX2lkIjoiYzFmMTk3MDYtYjhmYS00MmNkLTlkNjQtNTJhMDNmNzI3ZDAxIn0.U3uFCk5iaQmVKN5WLxTBjJGJwh4IO98ms8NjVVQ5qNI",
+    "sso-rw": "eyJhbGciOiJIUzI1NiJ9.eyJzZXNzaW9uX2lkIjoiYzFmMTk3MDYtYjhmYS00MmNkLTlkNjQtNTJhMDNmNzI3ZDAxIn0.U3uFCk5iaQmVKN5WLxTBjJGJwh4IO98ms8NjVVQ5qNI",
+    "_ga": "GA1.1.881743868.1740789941",
+    "cf_clearance": "ZC5p_3dWZA_Jzcg0zTLR4Fthq5N.wY_4uDEG9kmWoH0-1740844977-1.2.1.1-NxpwDkJZuGIseDyLhEWO5zoDBF5ZExxOilf1KZWu.MdhVFKA_FS0u.evjwJYS4Q4WUaBHQ2oFHvLrkRWNgm186RoDdvBQIJFdciUXy2Hxp5jHZw3aVWryjV4rc0WZ21T0CCd7sqM6aqqCHub6gI0iDoxMJyUbAOrtR0LbWi_P09CmK3lt6aFTHjQo12xUA47zTXACUi3uRR.5VJUvgTzXwrksWnIIT2g.03QJpH1mif2mf8waEY4Um8Sf3CCZXR8Lbxtl.E5NSjmuFP5XPIem71PhqMfE9Zqq9NCHVg1hVo0vcCnVu_7gM2ghHxVFbO5ZokiB5fr3Re8pR59yO5_vpuQoz74urjxE1p8Jl_G8ZWd7POXaddF8x_d0jJQKKk60v_sgUEDRzjLFFi2M8GXFCDTpM91AeNaGBBOgfzHyfA",
+    "_ga_8FEWB057YH": "GS1.1.1740844979.5.1.1740844994.0.0.0"
+}
+
+# Create a cloudscraper session
+scraper = cloudscraper.create_scraper()
+# Update the scraper's cookies
+for key, value in cookies.items():
+    scraper.cookies.set(key, value)
+
+try:
+    # Send the POST request with stream=True to handle streaming response
+    with scraper.post(
+        url=url,
+        headers=headers,
+        json=payload,
+        stream=True
+    ) as response:
+        
+        # Check if the request was successful
+        response.raise_for_status()
+        print(f"Status Code: {response.status_code}")
+        
+        # Process the streaming response
+        print("Streaming Response:")
+        
+        # Option 1: Process line by line (if the stream is line-delimited)
+        for line in response.iter_lines():
+            if line:
+                decoded_line = line.decode('utf-8')
+                print(f"Received: {decoded_line}")
+                
+                # Attempt to parse as JSON if applicable
+                try:
+                    json_data = json.loads(decoded_line)
+                    # Process the JSON data as needed
+                    print(f"Parsed JSON: {json.dumps(json_data, indent=2, ensure_ascii=False)}")
+                except json.JSONDecodeError:
+                    # Not valid JSON, just print the raw line
+                    pass
+                
+                # Optional: Add a small delay to make the output more readable
+                time.sleep(0.1)
+        
+        # Option 2 (Alternative): Process chunks of data
+        # Uncomment this section and comment out Option 1 if needed
+        """
+        for chunk in response.iter_content(chunk_size=1024):
+            if chunk:
+                print(f"Received chunk: {chunk.decode('utf-8')}")
+                time.sleep(0.1)
+        """
+        
+except Exception as e:
+    print(f"An error occurred: {e}")
+
+
+# session = requests.Session()
+# # Add cookies to the session
+# session.cookies.update(cookies)
+
+# try:
+#     # Send the POST request with stream=True to handle streaming response
+#     response = session.post(
+#         url=url,
+#         headers=headers,
+#         json=payload,
+#         stream=True
+#     )
+    
+#     # Check if the request was successful
+#     response.raise_for_status()
+#     print(f"Status Code: {response.status_code}")
+    
+#     # Process the streaming response
+#     print("Streaming Response:")
+    
+#     # Process line by line (for line-delimited responses)
+#     for line in response.iter_lines():
+#         if line:
+#             decoded_line = line.decode('utf-8')
+#             print(f"Received: {decoded_line}")
+            
+#             # Attempt to parse as JSON if applicable
+#             try:
+#                 json_data = json.loads(decoded_line)
+#                 # Process the JSON data as needed
+#                 print(f"Parsed JSON: {json.dumps(json_data, indent=2, ensure_ascii=False)}")
+#             except json.JSONDecodeError:
+#                 # Not valid JSON, just print the raw line
+#                 pass
+            
+#             # Optional: Add a small delay to make the output more readable
+#             time.sleep(0.1)
+    
+#     # Alternative: Process chunks of data
+#     # Uncomment this section and comment out the above loop if needed
+#     """
+#     for chunk in response.iter_content(chunk_size=1024):
+#         if chunk:
+#             print(f"Received chunk: {chunk.decode('utf-8')}")
+#             time.sleep(0.1)
+#     """
+        
+# except requests.exceptions.RequestException as e:
+#     print(f"Request error: {e}")
+# except Exception as e:
+#     print(f"An error occurred: {e}")
+# finally:
+#     # Close the session when done
+#     session.close()

uv.lock

@@ -0,0 +1,328 @@
+version = 1
+requires-python = ">=3.13"
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple/" }
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+wheels = [
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+]
+
+[[package]]
+name = "anyio"
+version = "4.8.0"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple/" }
+dependencies = [
+    { name = "idna" },
+    { name = "sniffio" },
+]
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+]
+
+[[package]]
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+version = "2025.1.31"
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+
+[[package]]
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