Upload main.py

main.py

@@ -1,762 +1,762 @@
-import asyncio
-import json
-import sys
-import uuid
-import base64
-import re
-import os
-import argparse
-from datetime import datetime, timezone, timedelta
-from typing import List, Optional
-
-import httpx
-import uvicorn
-from fastapi import (
-    BackgroundTasks,
-    FastAPI,
-    HTTPException,
-    Request,
-    Response,
-    status,
-)
-from fastapi.responses import HTMLResponse, JSONResponse, StreamingResponse
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.staticfiles import StaticFiles
-
-from bearer_token import BearerTokenGenerator
-
-# 模型列表（根据需求，可自行调整）
-MODELS = ["gpt-4o", "gpt-4o-mini", "claude-3-5-sonnet", "claude"]
-
-# 默认端口
-INITIAL_PORT = 3000
-
-# 外部API的URL
-EXTERNAL_API_URL = "https://api.chaton.ai/chats/stream"
-
-# 定义 images 目录
-IMAGES_DIR = "images"
-
-# 确保 images 目录存在
-def ensure_images_dir_exists(directory: str = IMAGES_DIR):
-    try:
-        os.makedirs(directory, exist_ok=True)
-        print(f"Directory '{directory}' is ready.")
-    except Exception as e:
-        print(f"Failed to create directory '{directory}': {e}")
-        sys.exit(1)
-
-# 在挂载静态文件之前确保 images 目录存在
-ensure_images_dir_exists()
-
-# 初始化FastAPI应用
-app = FastAPI()
-
-# 挂载静态文件路由以提供 images 目录的内容
-app.mount("/images", StaticFiles(directory=IMAGES_DIR), name="images")
-
-# 添加CORS中间件
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],  # 允许所有来源
-    allow_credentials=True,
-    allow_methods=["GET", "POST", "OPTIONS"],  # 允许GET, POST, OPTIONS方法
-    allow_headers=["Content-Type", "Authorization"],  # 允许的头部
-)
-
-# 辅助函数
-def send_error_response(message: str, status_code: int = 400):
-    """构建错误响应，并确保包含CORS头"""
-    error_json = {"error": message}
-    headers = {
-        "Access-Control-Allow-Origin": "*",
-        "Access-Control-Allow-Methods": "GET, POST, OPTIONS",
-        "Access-Control-Allow-Headers": "Content-Type, Authorization",
-    }
-    return JSONResponse(status_code=status_code, content=error_json, headers=headers)
-
-def extract_path_from_markdown(markdown: str) -> Optional[str]:
-    """
-    提取 Markdown 图片链接中的路径，匹配以 https://spc.unk/ 开头的 URL
-    """
-    pattern = re.compile(r'!\[.*?\]\(https://spc\.unk/(.*?)\)')
-    match = pattern.search(markdown)
-    if match:
-        return match.group(1)
-    return None
-
-async def fetch_get_url_from_storage(storage_url: str) -> Optional[str]:
-    """
-    从 storage URL 获取 JSON 并提取 getUrl
-    """
-    async with httpx.AsyncClient() as client:
-        try:
-            response = await client.get(storage_url)
-            if response.status_code != 200:
-                print(f"获取 storage URL 失败，状态码: {response.status_code}")
-                return None
-            json_response = response.json()
-            return json_response.get("getUrl")
-        except Exception as e:
-            print(f"Error fetching getUrl from storage: {e}")
-            return None
-
-async def download_image(image_url: str) -> Optional[bytes]:
-    """
-    下载图像
-    """
-    async with httpx.AsyncClient() as client:
-        try:
-            response = await client.get(image_url)
-            if response.status_code == 200:
-                return response.content
-            else:
-                print(f"下载图像失败，状态码: {response.status_code}")
-                return None
-        except Exception as e:
-            print(f"Error downloading image: {e}")
-            return None
-
-def cleanup_images(images_dir: str = IMAGES_DIR, age_seconds: int = 60):
-    """
-    清理 images 目录中创建时间超过指定秒数的图片
-    """
-    now = datetime.now(timezone.utc)
-    cutoff_time = now - timedelta(seconds=age_seconds)
-
-    if not os.path.exists(images_dir):
-        return
-
-    for filename in os.listdir(images_dir):
-        file_path = os.path.join(images_dir, filename)
-        if os.path.isfile(file_path):
-            try:
-                file_creation_time = datetime.fromtimestamp(os.path.getctime(file_path), timezone.utc)
-                if file_creation_time < cutoff_time:
-                    os.remove(file_path)
-                    print(f"已删除旧图片: {filename}")
-            except Exception as e:
-                print(f"无法删除文件 {filename}: {e}")
-
-def save_base64_image(base64_str: str, images_dir: str = IMAGES_DIR) -> str:
-    """
-    将Base64编码的图片保存到images目录，返回文件名
-    """
-    # 先清理1分钟前的所有图片
-    cleanup_images(images_dir, age_seconds=60)
-
-    try:
-        image_data = base64.b64decode(base64_str)
-    except base64.binascii.Error as e:
-        print(f"Base64解码失败: {e}")
-        raise ValueError("Invalid base64 image data")
-
-    filename = f"{uuid.uuid4()}.png"  # 默认保存为png格式
-    file_path = os.path.join(images_dir, filename)
-    try:
-        with open(file_path, "wb") as f:
-            f.write(image_data)
-        print(f"保存图片: {filename}")
-    except Exception as e:
-        print(f"保存图片失败: {e}")
-        raise
-
-    return filename
-
-def is_base64_image(url: str) -> bool:
-    """
-    判断URL是否为Base64编码的图片
-    """
-    return url.startswith("data:image/")
-
-# 根路径GET请求处理
-@app.get("/", response_class=HTMLResponse)
-async def read_root():
-    """返回欢迎页面"""
-    html_content = """
-    <html>
-        <head>
-            <title>Welcome to API</title>
-        </head>
-        <body>
-            <h1>Welcome to API</h1>
-            <p>You can send messages to the model and receive responses.</p>
-        </body>
-    </html>
-    """
-    return HTMLResponse(content=html_content, status_code=200)
-
-# 聊天完成处理（保留原有逻辑，未修改）
-@app.post("/ai/v1/chat/completions")
-@app.post("/v1/chat/completions")
-async def chat_completions(request: Request, background_tasks: BackgroundTasks):
-    """
-    处理聊天完成请求
-    """
-    try:
-        request_body = await request.json()
-    except json.JSONDecodeError:
-        raise HTTPException(status_code=400, detail="Invalid JSON")
-
-    # 打印接收到的请求
-    print("Received Completion JSON:", json.dumps(request_body, ensure_ascii=False))
-
-    # 处理消息内容
-    messages = request_body.get("messages", [])
-    temperature = request_body.get("temperature", 1.0)
-    #top_p = request_body.get("top_p", 1.0)
-    max_tokens = request_body.get("max_tokens", 8000)
-    model = request_body.get("model", "gpt-4o")
-    is_stream = request_body.get("stream", False)  # 获取 stream 字段
-
-    # 验证模型
-    if model not in MODELS:
-        raise HTTPException(status_code=400, detail=f"无效的 model: {model}. 可用的模型有: {', '.join(MODELS)}")
-
-    has_image = False
-    has_text = False
-
-    # 清理和提取消息内容
-    cleaned_messages = []
-    for message in messages:
-        content = message.get("content", "")
-        if isinstance(content, list):
-            text_parts = []
-            images = []
-            for item in content:
-                if "text" in item:
-                    text_parts.append(item.get("text", ""))
-                elif "image_url" in item:
-                    has_image = True
-                    image_info = item.get("image_url", {})
-                    url = image_info.get("url", "")
-                    if is_base64_image(url):
-                        # 解码并保存图片
-                        try:
-                            base64_str = url.split(",")[1]
-                            filename = save_base64_image(base64_str)
-                            base_url = app.state.base_url
-                            image_url = f"{base_url}/images/{filename}"
-                            images.append({"data": image_url})
-                        except (IndexError, ValueError) as e:
-                            print(f"处理Base64图片失败: {e}")
-                            continue
-                    else:
-                        images.append({"data": url})
-            extracted_content = " ".join(text_parts).strip()
-            if extracted_content:
-                has_text = True
-                message["content"] = extracted_content
-                if images:
-                    message["images"] = images
-                cleaned_messages.append(message)
-                print("Extracted:", extracted_content)
-            else:
-                if images:
-                    has_image = True
-                    message["content"] = ""
-                    message["images"] = images
-                    cleaned_messages.append(message)
-                    print("Extracted image only.")
-                else:
-                    print("Deleted message with empty content.")
-        elif isinstance(content, str):
-            content_str = content.strip()
-            if content_str:
-                has_text = True
-                message["content"] = content_str
-                cleaned_messages.append(message)
-                print("Retained content:", content_str)
-            else:
-                print("Deleted message with empty content.")
-        else:
-            print("Deleted non-expected type of content message.")
-
-    if not cleaned_messages:
-        raise HTTPException(status_code=400, detail="所有消息的内容均为空。")
-
-    # 构建新的请求JSON
-    new_request_json = {
-        "function_image_gen": False,
-        "function_web_search": True,
-        "max_tokens": max_tokens,
-        "model": model,
-        "source": "chat/pro",
-        "temperature": temperature,
-        #"top_p": top_p,
-        "messages": cleaned_messages,
-    }
-
-    modified_request_body = json.dumps(new_request_json, ensure_ascii=False)
-    print("Modified Request JSON:", modified_request_body)
-
-    # 获取Bearer Token
-    tmp_token = BearerTokenGenerator.get_bearer(modified_request_body)
-    if not tmp_token:
-        raise HTTPException(status_code=500, detail="无法生成 Bearer Token")
-
-    bearer_token, formatted_date = tmp_token
-
-    headers = {
-        "Date": formatted_date,
-        "Client-time-zone": "-05:00",
-        "Authorization": bearer_token,
-        "User-Agent": "ChatOn_Android/1.55.488",
-        "Accept-Language": "en-US",
-        "X-Cl-Options": "hb",
-        "Content-Type": "application/json; charset=UTF-8",
-    }
-
-    if is_stream:
-        import uuid
-        from datetime import datetime, timezone
-
-        # 定义 should_filter_out 函数
-        def should_filter_out(json_data):
-            if 'ping' in json_data:
-                return True
-            if 'data' in json_data:
-                data = json_data['data']
-                if 'analytics' in data:
-                    return True
-                if 'operation' in data and 'message' in data:
-                    return True
-            return False
-
-        # 定义 generate_id 函数
-        def generate_id():
-            return uuid.uuid4().hex[:24]
-
-        # 流式响应处理
-        async def event_generator():
-            async with httpx.AsyncClient(timeout=None) as client_stream:
-                try:
-                    async with client_stream.stream("POST", EXTERNAL_API_URL, headers=headers, content=modified_request_body) as streamed_response:
-                        async for line in streamed_response.aiter_lines():
-                            if line.startswith("data: "):
-                                data = line[6:].strip()
-                                if data == "[DONE]":
-                                    # 通知客户端流结束
-                                    yield "data: [DONE]\n\n"
-                                    break
-                                try:
-                                    sse_json = json.loads(data)
-                                    
-                                    # 判断是否需要过滤
-                                    if should_filter_out(sse_json):
-                                        continue
-
-                                    # 处理包含 web sources 的消息
-                                    if 'data' in sse_json and 'web' in sse_json['data']:
-                                        web_data = sse_json['data']['web']
-                                        if 'sources' in web_data:
-                                            sources = web_data['sources']
-                                            urls_list = []
-                                            for source in sources:
-                                                if 'url' in source:
-                                                    urls_list.append(source['url'])
-                                            urls_content = '\n\n'.join(urls_list)
-                                            print(f"从 API 接收到的内容: {urls_content}")
-                                            # 构造新的 SSE 消息，填入 content 字段
-                                            new_sse_json = {
-                                                "id": generate_id(),
-                                                "object": "chat.completion.chunk",
-                                                "created": int(datetime.now(timezone.utc).timestamp()),
-                                                "model": sse_json.get("model", "gpt-4o"),
-                                                "choices": [
-                                                    {
-                                                        "delta": {"content": "\n" + urls_content + "\n"},
-                                                        "index": 0,
-                                                        "finish_reason": None
-                                                    }
-                                                ]
-                                            }
-                                            new_sse_line = f"data: {json.dumps(new_sse_json, ensure_ascii=False)}\n\n"
-                                            yield new_sse_line
-                                    else:
-                                        # 尝试打印内容
-                                        if 'choices' in sse_json:
-                                            for choice in sse_json['choices']:
-                                                delta = choice.get('delta', {})
-                                                content = delta.get('content')
-                                                if content:
-                                                    print(content, end='')
-                                        # 直接转发其他消息
-                                        yield f"data: {data}\n\n"
-                                except json.JSONDecodeError as e:
-                                    print(f"JSON解析错误: {e}")
-                                    continue
-                            else:
-                                # 忽略不以 "data: " 开头的行
-                                continue
-                except httpx.RequestError as exc:
-                    print(f"外部API请求失败: {exc}")
-                    yield f"data: {{\"error\": \"外部API请求失败: {str(exc)}\"}}\n\n"
-
-        return StreamingResponse(
-            event_generator(),
-            media_type="text/event-stream",
-            headers={
-                "Cache-Control": "no-cache",
-                "Connection": "keep-alive",
-                # CORS头已通过中间件处理，无需在这里重复添加
-            },
-        )
-    else:
-        # 非流式响应处理
-        async with httpx.AsyncClient(timeout=None) as client:
-            try:
-                response = await client.post(
-                    EXTERNAL_API_URL,
-                    headers=headers,
-                    content=modified_request_body,
-                    timeout=None
-                )
-
-                if response.status_code != 200:
-                    raise HTTPException(
-                        status_code=response.status_code,
-                        detail=f"API 错误: {response.status_code}",
-                    )
-
-                sse_lines = response.text.splitlines()
-                content_builder = ""
-                images_urls = []
-
-                for line in sse_lines:
-                    if line.startswith("data: "):
-                        data = line[6:].strip()
-                        if data == "[DONE]":
-                            break
-                        try:
-                            sse_json = json.loads(data)
-                            if "choices" in sse_json:
-                                for choice in sse_json["choices"]:
-                                    if "delta" in choice:
-                                        delta = choice["delta"]
-                                        if "content" in delta:
-                                            content_builder += delta["content"]
-                        except json.JSONDecodeError:
-                            print("JSON解析错误")
-                            continue
-
-                openai_response = {
-                    "id": f"chatcmpl-{uuid.uuid4()}",
-                    "object": "chat.completion",
-                    "created": int(datetime.now(timezone.utc).timestamp()),
-                    "model": model,  # 使用用户传入的model
-                    "choices": [
-                        {
-                            "index": 0,
-                            "message": {
-                                "role": "assistant",
-                                "content": content_builder,
-                            },
-                            "finish_reason": "stop",
-                        }
-                    ],
-                }
-
-                # 处理图片（如果有）
-                if has_image:
-                    images = []
-                    for message in cleaned_messages:
-                        if "images" in message:
-                            for img in message["images"]:
-                                images.append({"data": img["data"]})
-                    openai_response["choices"][0]["message"]["images"] = images
-
-                return JSONResponse(content=openai_response, status_code=200)
-            except httpx.RequestError as exc:
-                raise HTTPException(status_code=500, detail=f"请求失败: {str(exc)}")
-            except Exception as exc:
-                raise HTTPException(status_code=500, detail=f"内部服务器错误: {str(exc)}")
-
-# 图像生成处理
-@app.post("/ai/v1/images/generations")
-@app.post("/v1/images/generations")
-async def images_generations(request: Request):
-    """
-    处理图像生成请求
-    """
-    try:
-        request_body = await request.json()
-    except json.JSONDecodeError:
-        return send_error_response("Invalid JSON", status_code=400)
-
-    print("Received Image Generations JSON:", json.dumps(request_body, ensure_ascii=False))
-
-    # 验证必需的字段
-    if "prompt" not in request_body:
-        return send_error_response("缺少必需的字段: prompt", status_code=400)
-
-    user_prompt = request_body.get("prompt", "").strip()
-    response_format = request_body.get("response_format", "").strip().lower()
-    model = request_body.get("model", "gpt-4o")
-    n = request_body.get("n", 1)  # 生成图像数量，默认1
-    size = request_body.get("size", "1024x1024")  # 图片尺寸，默认1024x1024
-
-    is_base64_response = response_format == "b64_json"
-
-    if not user_prompt:
-        return send_error_response("Prompt 不能为空。", status_code=400)
-
-    print(f"Prompt: {user_prompt}")
-    print(f"Response Format: {response_format}")
-    print(f"Number of images to generate (n): {n}")
-    print(f"Size: {size}")
-    
-    # 设置最大尝试次数为 2 * n
-    max_attempts = 2 * n
-    print(f"Max Attempts: {max_attempts}")
-
-    # 初始化用于存储多个 URL 的线程安全列表
-    final_download_urls: List[str] = []
-
-    async def attempt_generate_image(attempt: int) -> Optional[str]:
-        """
-        尝试生成单张图像，带有重试机制。
-        """
-        try:
-            # 构建新的 TextToImage JSON 请求体
-            text_to_image_json = {
-                "function_image_gen": True,
-                "function_web_search": True,
-                "image_aspect_ratio": "1:1",  # 图片比例可选：1:1/9:19/16:9/4:3
-                "image_style": "photographic",  # 固定 image_style，可根据需要调整
-                "max_tokens": 8000,
-                "messages": [
-                    {
-                        "content": "You are a helpful artist, please draw a picture. Based on imagination, draw a picture with user message.",
-                        "role": "system"
-                    },
-                    {
-                        "content": "Draw: " + user_prompt,
-                        "role": "user"
-                    }
-                ],
-                "model": "gpt-4o",
-                "source": "chat/free"  # 固定 source
-            }
-
-            modified_request_body = json.dumps(text_to_image_json, ensure_ascii=False)
-            print(f"Attempt {attempt} - Modified Request JSON: {modified_request_body}")
-
-            # 获取Bearer Token
-            tmp_token = BearerTokenGenerator.get_bearer(modified_request_body, path="/chats/stream")
-            if not tmp_token:
-                print(f"Attempt {attempt} - 无法生成 Bearer Token")
-                return None
-
-            bearer_token, formatted_date = tmp_token
-
-            headers = {
-                "Date": formatted_date,
-                "Client-time-zone": "-05:00",
-                "Authorization": bearer_token,
-                "User-Agent": "ChatOn_Android/1.53.502",
-                "Accept-Language": "en-US",
-                "X-Cl-Options": "hb",
-                "Content-Type": "application/json; charset=UTF-8",
-            }
-
-            async with httpx.AsyncClient(timeout=None) as client:
-                response = await client.post(
-                    EXTERNAL_API_URL,
-                    headers=headers,
-                    content=modified_request_body,
-                    timeout=None
-                )
-
-                if response.status_code != 200:
-                    print(f"Attempt {attempt} - API 错误: {response.status_code}")
-                    return None
-
-                # 读取 SSE 流并提取图像URL
-                sse_lines = response.text.splitlines()
-                image_markdown = ""
-
-                for line in sse_lines:
-                    if line.startswith("data: "):
-                        data = line[6:].strip()
-                        if data == "[DONE]":
-                            break
-                        try:
-                            sse_json = json.loads(data)
-                            if "choices" in sse_json:
-                                for choice in sse_json["choices"]:
-                                    delta = choice.get("delta", {})
-                                    content = delta.get("content")
-                                    if content:
-                                        image_markdown += content
-                        except json.JSONDecodeError:
-                            print(f"Attempt {attempt} - JSON解析错误")
-                            continue
-
-                # 检查Markdown文本是否为空
-                if not image_markdown:
-                    print(f"Attempt {attempt} - 无法从 SSE 流中构建图像 Markdown。")
-                    return None
-
-                # 从Markdown中提取图像路径
-                extracted_path = extract_path_from_markdown(image_markdown)
-                if not extracted_path:
-                    print(f"Attempt {attempt} - 无法从 Markdown 中提取路径。")
-                    return None
-
-                print(f"Attempt {attempt} - 提取的路径: {extracted_path}")
-
-                # 拼接最终的存储URL
-                storage_url = f"https://api.chaton.ai/storage/{extracted_path}"
-                print(f"Attempt {attempt} - 存储URL: {storage_url}")
-
-                # 获取最终下载URL
-                final_download_url = await fetch_get_url_from_storage(storage_url)
-                if not final_download_url:
-                    print(f"Attempt {attempt} - 无法从 storage URL 获取最终下载链接。")
-                    return None
-
-                print(f"Attempt {attempt} - Final Download URL: {final_download_url}")
-
-                return final_download_url
-        except Exception as e:
-            print(f"Attempt {attempt} - 处理响应时发生错误: {e}")
-            return None
-
-    # 定义一个异步任务池，限制并发数量
-    semaphore = asyncio.Semaphore(10)  # 限制同时进行的任务数���10
-
-    async def generate_with_retries(attempt: int) -> Optional[str]:
-        async with semaphore:
-            return await attempt_generate_image(attempt)
-
-    # 开始尝试生成图像
-    for attempt in range(1, max_attempts + 1):
-        needed = n - len(final_download_urls)
-        if needed <= 0:
-            break
-
-        print(f"Attempt {attempt} - 需要生成的图像数量: {needed}")
-
-        # 创建多个任务同时生成所需数量的图像
-        tasks = [asyncio.create_task(generate_with_retries(attempt)) for _ in range(needed)]
-
-        # 等待所有任务完成
-        results = await asyncio.gather(*tasks, return_exceptions=True)
-
-        for result in results:
-            if isinstance(result, Exception):
-                print(f"Attempt {attempt} - 任务发生异常: {result}")
-                continue
-            if result:
-                final_download_urls.append(result)
-                print(f"Attempt {attempt} - 收集到下载链接: {result}")
-
-        # 检查是否已经收集到足够的下载链接
-        if len(final_download_urls) >= n:
-            break
-
-    # 检查是否收集到足够的链接
-    if len(final_download_urls) < n:
-        print("已达到最大尝试次数，仍未收集到足够数量的下载链接。")
-        return send_error_response("无法生成足够数量的图像。", status_code=500)
-
-    # 根据 response_format 返回相应的响应
-    data_array = []
-
-    if is_base64_response:
-        for download_url in final_download_urls[:n]:
-            try:
-                image_bytes = await download_image(download_url)
-                if not image_bytes:
-                    print(f"无法从 URL 下载图像: {download_url}")
-                    continue
-
-                image_base64 = base64.b64encode(image_bytes).decode('utf-8')
-                data_array.append({
-                    "b64_json": image_base64
-                })
-            except Exception as e:
-                print(f"处理图像时发生错误: {e}")
-                continue
-    else:
-        for download_url in final_download_urls[:n]:
-            data_array.append({
-                "url": download_url
-            })
-
-    # 如果收集的 URL 数量不足 n，则通过复制现有的 URL 来填充
-    while len(data_array) < n and len(data_array) > 0:
-        for item in data_array.copy():
-            if len(data_array) >= n:
-                break
-            data_array.append(item)
-
-    # 构建最终响应
-    response_json = {
-        "created": int(datetime.now(timezone.utc).timestamp()),
-        "data": data_array
-    }
-
-    # 如果data_array为空，返回错误
-    if not data_array:
-        return send_error_response("无法生成图像。", status_code=500)
-
-    # 返回响应
-    return JSONResponse(content=response_json, status_code=200)
-    
-@app.get("/ai/v1/models", response_class=JSONResponse)
-@app.get("/v1/models", response_class=JSONResponse)
-async def get_models():
-    models_data = {
-        "object": "list",
-        "data": [
-            {"id": "gpt-4o", "object": "model"},
-            {"id": "gpt-4o-mini", "object": "model"},
-            {"id": "claude-3-5-sonnet", "object": "model"},
-            {"id": "claude", "object": "model"}
-        ]
-    }
-    return models_data
-
-async def get_available_port(start_port: int = INITIAL_PORT, end_port: int = 65535) -> int:
-    """查找可用的端口号"""
-    for port in range(start_port, end_port + 1):
-        try:
-            # 尝试绑定端口
-            server = await asyncio.start_server(lambda r, w: None, host="0.0.0.0", port=port)
-            server.close()
-            await server.wait_closed()
-            return port
-        except OSError:
-            continue
-    raise RuntimeError(f"No available ports between {start_port} and {end_port}")
-
-def main():
-    parser = argparse.ArgumentParser(description="启动ChatOn API服务器")
-    parser.add_argument('--base_url', type=str, default='http://localhost', help='Base URL for accessing images')
-    parser.add_argument('--port', type=int, default=INITIAL_PORT, help='服务器监听端口')
-    args = parser.parse_args()
-
-    base_url = args.base_url
-    port = args.port
-
-    # 设置 FastAPI 应用的 state
-    app.state.base_url = base_url
-
-    print(f"Starting server on port {port} with base_url: {base_url}")
-
-    # 检查端口可用性
-    try:
-        port = asyncio.run(get_available_port(start_port=port))
-    except RuntimeError as e:
-        print(e)
-        return
-
-    print(f"Server running on available port: {port}")
-
-    # 运行FastAPI应用
-    uvicorn.run(app, host="0.0.0.0", port=port)
-
-if __name__ == "__main__":
-    main()
+import asyncio
+import json
+import sys
+import uuid
+import base64
+import re
+import os
+import argparse
+from datetime import datetime, timezone, timedelta
+from typing import List, Optional
+
+import httpx
+import uvicorn
+from fastapi import (
+    BackgroundTasks,
+    FastAPI,
+    HTTPException,
+    Request,
+    Response,
+    status,
+)
+from fastapi.responses import HTMLResponse, JSONResponse, StreamingResponse
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.staticfiles import StaticFiles
+
+from bearer_token import BearerTokenGenerator
+
+# 模型列表（根据需求，可自行调整）
+MODELS = ["gpt-4o", "gpt-4o-mini", "claude-3-5-sonnet", "claude"]
+
+# 默认端口
+INITIAL_PORT = 3000
+
+# 外部API的URL
+EXTERNAL_API_URL = "https://api.chaton.ai/chats/stream"
+
+# 定义 images 目录
+IMAGES_DIR = "images"
+
+# 确保 images 目录存在
+def ensure_images_dir_exists(directory: str = IMAGES_DIR):
+    try:
+        os.makedirs(directory, exist_ok=True)
+        print(f"Directory '{directory}' is ready.")
+    except Exception as e:
+        print(f"Failed to create directory '{directory}': {e}")
+        sys.exit(1)
+
+# 在挂载静态文件之前确保 images 目录存在
+ensure_images_dir_exists()
+
+# 初始化FastAPI应用
+app = FastAPI()
+
+# 挂载静态文件路由以提供 images 目录的内容
+app.mount("/images", StaticFiles(directory=IMAGES_DIR), name="images")
+
+# 添加CORS中间件
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # 允许所有来源
+    allow_credentials=True,
+    allow_methods=["GET", "POST", "OPTIONS"],  # 允许GET, POST, OPTIONS方法
+    allow_headers=["Content-Type", "Authorization"],  # 允许的头部
+)
+
+# 辅助函数
+def send_error_response(message: str, status_code: int = 400):
+    """构建错误响应，并确保包含CORS头"""
+    error_json = {"error": message}
+    headers = {
+        "Access-Control-Allow-Origin": "*",
+        "Access-Control-Allow-Methods": "GET, POST, OPTIONS",
+        "Access-Control-Allow-Headers": "Content-Type, Authorization",
+    }
+    return JSONResponse(status_code=status_code, content=error_json, headers=headers)
+
+def extract_path_from_markdown(markdown: str) -> Optional[str]:
+    """
+    提取 Markdown 图片链接中的路径，匹配以 https://spc.unk/ 开头的 URL
+    """
+    pattern = re.compile(r'!\[.*?\]\(https://spc\.unk/(.*?)\)')
+    match = pattern.search(markdown)
+    if match:
+        return match.group(1)
+    return None
+
+async def fetch_get_url_from_storage(storage_url: str) -> Optional[str]:
+    """
+    从 storage URL 获取 JSON 并提取 getUrl
+    """
+    async with httpx.AsyncClient() as client:
+        try:
+            response = await client.get(storage_url)
+            if response.status_code != 200:
+                print(f"获取 storage URL 失败，状态码: {response.status_code}")
+                return None
+            json_response = response.json()
+            return json_response.get("getUrl")
+        except Exception as e:
+            print(f"Error fetching getUrl from storage: {e}")
+            return None
+
+async def download_image(image_url: str) -> Optional[bytes]:
+    """
+    下载图像
+    """
+    async with httpx.AsyncClient() as client:
+        try:
+            response = await client.get(image_url)
+            if response.status_code == 200:
+                return response.content
+            else:
+                print(f"下载图像失败，状态码: {response.status_code}")
+                return None
+        except Exception as e:
+            print(f"Error downloading image: {e}")
+            return None
+
+def cleanup_images(images_dir: str = IMAGES_DIR, age_seconds: int = 60):
+    """
+    清理 images 目录中创建时间超过指定秒数的图片
+    """
+    now = datetime.now(timezone.utc)
+    cutoff_time = now - timedelta(seconds=age_seconds)
+
+    if not os.path.exists(images_dir):
+        return
+
+    for filename in os.listdir(images_dir):
+        file_path = os.path.join(images_dir, filename)
+        if os.path.isfile(file_path):
+            try:
+                file_creation_time = datetime.fromtimestamp(os.path.getctime(file_path), timezone.utc)
+                if file_creation_time < cutoff_time:
+                    os.remove(file_path)
+                    print(f"已删除旧图片: {filename}")
+            except Exception as e:
+                print(f"无法删除文件 {filename}: {e}")
+
+def save_base64_image(base64_str: str, images_dir: str = IMAGES_DIR) -> str:
+    """
+    将Base64编码的图片保存到images目录，返回文件名
+    """
+    # 先清理1分钟前的所有图片
+    cleanup_images(images_dir, age_seconds=60)
+
+    try:
+        image_data = base64.b64decode(base64_str)
+    except base64.binascii.Error as e:
+        print(f"Base64解码失败: {e}")
+        raise ValueError("Invalid base64 image data")
+
+    filename = f"{uuid.uuid4()}.png"  # 默认保存为png格式
+    file_path = os.path.join(images_dir, filename)
+    try:
+        with open(file_path, "wb") as f:
+            f.write(image_data)
+        print(f"保存图片: {filename}")
+    except Exception as e:
+        print(f"保存图片失败: {e}")
+        raise
+
+    return filename
+
+def is_base64_image(url: str) -> bool:
+    """
+    判断URL是否为Base64编码的图片
+    """
+    return url.startswith("data:image/")
+
+# 根路径GET请求处理
+@app.get("/", response_class=HTMLResponse)
+async def read_root():
+    """返回欢迎页面"""
+    html_content = """
+    <html>
+        <head>
+            <title>Welcome to API</title>
+        </head>
+        <body>
+            <h1>Welcome to API</h1>
+            <p>You can send messages to the model and receive responses.</p>
+        </body>
+    </html>
+    """
+    return HTMLResponse(content=html_content, status_code=200)
+
+# 聊天完成处理（保留原有逻辑，未修改）
+@app.post("/ai/v1/chat/completions")
+@app.post("/v1/chat/completions")
+async def chat_completions(request: Request, background_tasks: BackgroundTasks):
+    """
+    处理聊天完成请求
+    """
+    try:
+        request_body = await request.json()
+    except json.JSONDecodeError:
+        raise HTTPException(status_code=400, detail="Invalid JSON")
+
+    # 打印接收到的请求
+    print("Received Completion JSON:", json.dumps(request_body, ensure_ascii=False))
+
+    # 处理消息内容
+    messages = request_body.get("messages", [])
+    temperature = request_body.get("temperature", 1.0)
+    #top_p = request_body.get("top_p", 1.0)
+    max_tokens = request_body.get("max_tokens", 8000)
+    model = request_body.get("model", "gpt-4o")
+    is_stream = request_body.get("stream", False)  # 获取 stream 字段
+
+    # 验证模型
+    if model not in MODELS:
+        raise HTTPException(status_code=400, detail=f"无效的 model: {model}. 可用的模型有: {', '.join(MODELS)}")
+
+    has_image = False
+    has_text = False
+
+    # 清理和提取消息内容
+    cleaned_messages = []
+    for message in messages:
+        content = message.get("content", "")
+        if isinstance(content, list):
+            text_parts = []
+            images = []
+            for item in content:
+                if "text" in item:
+                    text_parts.append(item.get("text", ""))
+                elif "image_url" in item:
+                    has_image = True
+                    image_info = item.get("image_url", {})
+                    url = image_info.get("url", "")
+                    if is_base64_image(url):
+                        # 解码并保存图片
+                        try:
+                            base64_str = url.split(",")[1]
+                            filename = save_base64_image(base64_str)
+                            base_url = app.state.base_url
+                            image_url = f"{base_url}/images/{filename}"
+                            images.append({"data": image_url})
+                        except (IndexError, ValueError) as e:
+                            print(f"处理Base64图片失败: {e}")
+                            continue
+                    else:
+                        images.append({"data": url})
+            extracted_content = " ".join(text_parts).strip()
+            if extracted_content:
+                has_text = True
+                message["content"] = extracted_content
+                if images:
+                    message["images"] = images
+                cleaned_messages.append(message)
+                print("Extracted:", extracted_content)
+            else:
+                if images:
+                    has_image = True
+                    message["content"] = ""
+                    message["images"] = images
+                    cleaned_messages.append(message)
+                    print("Extracted image only.")
+                else:
+                    print("Deleted message with empty content.")
+        elif isinstance(content, str):
+            content_str = content.strip()
+            if content_str:
+                has_text = True
+                new_message = {"role": message.get("role"), "content": content_str}
+                cleaned_messages.append(new_message)
+                print("Retained content:", content_str)
+            else:
+                print("Deleted message with empty content.")
+        else:
+            print("Deleted non-expected type of content message.")
+
+    if not cleaned_messages:
+        raise HTTPException(status_code=400, detail="所有消息的内容均为空。")
+
+    # 构建新的请求JSON
+    new_request_json = {
+        "function_image_gen": False,
+        "function_web_search": True,
+        "max_tokens": max_tokens,
+        "model": model,
+        "source": "chat/pro",
+        "temperature": temperature,
+        #"top_p": top_p,
+        "messages": cleaned_messages,
+    }
+
+    modified_request_body = json.dumps(new_request_json, ensure_ascii=False)
+    print("Modified Request JSON:", modified_request_body)
+
+    # 获取Bearer Token
+    tmp_token = BearerTokenGenerator.get_bearer(modified_request_body)
+    if not tmp_token:
+        raise HTTPException(status_code=500, detail="无法生成 Bearer Token")
+
+    bearer_token, formatted_date = tmp_token
+
+    headers = {
+        "Date": formatted_date,
+        "Client-time-zone": "-05:00",
+        "Authorization": bearer_token,
+        "User-Agent": "ChatOn_Android/1.55.488",
+        "Accept-Language": "en-US",
+        "X-Cl-Options": "hb",
+        "Content-Type": "application/json; charset=UTF-8",
+    }
+
+    if is_stream:
+        import uuid
+        from datetime import datetime, timezone
+
+        # 定义 should_filter_out 函数
+        def should_filter_out(json_data):
+            if 'ping' in json_data:
+                return True
+            if 'data' in json_data:
+                data = json_data['data']
+                if 'analytics' in data:
+                    return True
+                if 'operation' in data and 'message' in data:
+                    return True
+            return False
+
+        # 定义 generate_id 函数
+        def generate_id():
+            return uuid.uuid4().hex[:24]
+
+        # 流式响应处理
+        async def event_generator():
+            async with httpx.AsyncClient(timeout=None) as client_stream:
+                try:
+                    async with client_stream.stream("POST", EXTERNAL_API_URL, headers=headers, content=modified_request_body) as streamed_response:
+                        async for line in streamed_response.aiter_lines():
+                            if line.startswith("data: "):
+                                data = line[6:].strip()
+                                if data == "[DONE]":
+                                    # 通知客户端流结束
+                                    yield "data: [DONE]\n\n"
+                                    break
+                                try:
+                                    sse_json = json.loads(data)
+                                    
+                                    # 判断是否需要过滤
+                                    if should_filter_out(sse_json):
+                                        continue
+
+                                    # 处理包含 web sources 的消息
+                                    if 'data' in sse_json and 'web' in sse_json['data']:
+                                        web_data = sse_json['data']['web']
+                                        if 'sources' in web_data:
+                                            sources = web_data['sources']
+                                            urls_list = []
+                                            for source in sources:
+                                                if 'url' in source:
+                                                    urls_list.append(source['url'])
+                                            urls_content = '\n\n'.join(urls_list)
+                                            print(f"从 API 接收到的内容: {urls_content}")
+                                            # 构造新的 SSE 消息，填入 content 字段
+                                            new_sse_json = {
+                                                "id": generate_id(),
+                                                "object": "chat.completion.chunk",
+                                                "created": int(datetime.now(timezone.utc).timestamp()),
+                                                "model": sse_json.get("model", "gpt-4o"),
+                                                "choices": [
+                                                    {
+                                                        "delta": {"content": "\n" + urls_content + "\n"},
+                                                        "index": 0,
+                                                        "finish_reason": None
+                                                    }
+                                                ]
+                                            }
+                                            new_sse_line = f"data: {json.dumps(new_sse_json, ensure_ascii=False)}\n\n"
+                                            yield new_sse_line
+                                    else:
+                                        # 尝试打印内容
+                                        if 'choices' in sse_json:
+                                            for choice in sse_json['choices']:
+                                                delta = choice.get('delta', {})
+                                                content = delta.get('content')
+                                                if content:
+                                                    print(content, end='')
+                                        # 直接转发其他消息
+                                        yield f"data: {data}\n\n"
+                                except json.JSONDecodeError as e:
+                                    print(f"JSON解析错误: {e}")
+                                    continue
+                            else:
+                                # 忽略不以 "data: " 开头的行
+                                continue
+                except httpx.RequestError as exc:
+                    print(f"外部API请求失败: {exc}")
+                    yield f"data: {{\"error\": \"外部API请求失败: {str(exc)}\"}}\n\n"
+
+        return StreamingResponse(
+            event_generator(),
+            media_type="text/event-stream",
+            headers={
+                "Cache-Control": "no-cache",
+                "Connection": "keep-alive",
+                # CORS头已通过中间件处理，无需在这里重复添加
+            },
+        )
+    else:
+        # 非流式响应处理
+        async with httpx.AsyncClient(timeout=None) as client:
+            try:
+                response = await client.post(
+                    EXTERNAL_API_URL,
+                    headers=headers,
+                    content=modified_request_body,
+                    timeout=None
+                )
+
+                if response.status_code != 200:
+                    raise HTTPException(
+                        status_code=response.status_code,
+                        detail=f"API 错误: {response.status_code}",
+                    )
+
+                sse_lines = response.text.splitlines()
+                content_builder = ""
+                images_urls = []
+
+                for line in sse_lines:
+                    if line.startswith("data: "):
+                        data = line[6:].strip()
+                        if data == "[DONE]":
+                            break
+                        try:
+                            sse_json = json.loads(data)
+                            if "choices" in sse_json:
+                                for choice in sse_json["choices"]:
+                                    if "delta" in choice:
+                                        delta = choice["delta"]
+                                        if "content" in delta:
+                                            content_builder += delta["content"]
+                        except json.JSONDecodeError:
+                            print("JSON解析错误")
+                            continue
+
+                openai_response = {
+                    "id": f"chatcmpl-{uuid.uuid4()}",
+                    "object": "chat.completion",
+                    "created": int(datetime.now(timezone.utc).timestamp()),
+                    "model": model,  # 使用用户传入的model
+                    "choices": [
+                        {
+                            "index": 0,
+                            "message": {
+                                "role": "assistant",
+                                "content": content_builder,
+                            },
+                            "finish_reason": "stop",
+                        }
+                    ],
+                }
+
+                # 处理图片（如果有）
+                if has_image:
+                    images = []
+                    for message in cleaned_messages:
+                        if "images" in message:
+                            for img in message["images"]:
+                                images.append({"data": img["data"]})
+                    openai_response["choices"][0]["message"]["images"] = images
+
+                return JSONResponse(content=openai_response, status_code=200)
+            except httpx.RequestError as exc:
+                raise HTTPException(status_code=500, detail=f"请求失败: {str(exc)}")
+            except Exception as exc:
+                raise HTTPException(status_code=500, detail=f"内部服务器错误: {str(exc)}")
+
+# 图像生成处理
+@app.post("/ai/v1/images/generations")
+@app.post("/v1/images/generations")
+async def images_generations(request: Request):
+    """
+    处理图像生成请求
+    """
+    try:
+        request_body = await request.json()
+    except json.JSONDecodeError:
+        return send_error_response("Invalid JSON", status_code=400)
+
+    print("Received Image Generations JSON:", json.dumps(request_body, ensure_ascii=False))
+
+    # 验证必需的字段
+    if "prompt" not in request_body:
+        return send_error_response("缺少必需的字段: prompt", status_code=400)
+
+    user_prompt = request_body.get("prompt", "").strip()
+    response_format = request_body.get("response_format", "").strip().lower()
+    model = request_body.get("model", "gpt-4o")
+    n = request_body.get("n", 1)  # 生成图像数量，默认1
+    size = request_body.get("size", "1024x1024")  # 图片尺寸，默认1024x1024
+
+    is_base64_response = response_format == "b64_json"
+
+    if not user_prompt:
+        return send_error_response("Prompt 不能为空。", status_code=400)
+
+    print(f"Prompt: {user_prompt}")
+    print(f"Response Format: {response_format}")
+    print(f"Number of images to generate (n): {n}")
+    print(f"Size: {size}")
+    
+    # 设置最大尝试次数为 2 * n
+    max_attempts = 2 * n
+    print(f"Max Attempts: {max_attempts}")
+
+    # 初始化用于存储多个 URL 的线程安全列表
+    final_download_urls: List[str] = []
+
+    async def attempt_generate_image(attempt: int) -> Optional[str]:
+        """
+        尝试生成单张图像，带有重试机制。
+        """
+        try:
+            # 构建新的 TextToImage JSON 请求体
+            text_to_image_json = {
+                "function_image_gen": True,
+                "function_web_search": True,
+                "image_aspect_ratio": "1:1",  # 图片比例可选：1:1/9:19/16:9/4:3
+                "image_style": "photographic",  # 固定 image_style，可根据需要调整
+                "max_tokens": 8000,
+                "messages": [
+                    {
+                        "content": "You are a helpful artist, please draw a picture. Based on imagination, draw a picture with user message.",
+                        "role": "system"
+                    },
+                    {
+                        "content": "Draw: " + user_prompt,
+                        "role": "user"
+                    }
+                ],
+                "model": "gpt-4o",
+                "source": "chat/free"  # 固定 source
+            }
+
+            modified_request_body = json.dumps(text_to_image_json, ensure_ascii=False)
+            print(f"Attempt {attempt} - Modified Request JSON: {modified_request_body}")
+
+            # 获取Bearer Token
+            tmp_token = BearerTokenGenerator.get_bearer(modified_request_body, path="/chats/stream")
+            if not tmp_token:
+                print(f"Attempt {attempt} - 无法生成 Bearer Token")
+                return None
+
+            bearer_token, formatted_date = tmp_token
+
+            headers = {
+                "Date": formatted_date,
+                "Client-time-zone": "-05:00",
+                "Authorization": bearer_token,
+                "User-Agent": "ChatOn_Android/1.53.502",
+                "Accept-Language": "en-US",
+                "X-Cl-Options": "hb",
+                "Content-Type": "application/json; charset=UTF-8",
+            }
+
+            async with httpx.AsyncClient(timeout=None) as client:
+                response = await client.post(
+                    EXTERNAL_API_URL,
+                    headers=headers,
+                    content=modified_request_body,
+                    timeout=None
+                )
+
+                if response.status_code != 200:
+                    print(f"Attempt {attempt} - API 错误: {response.status_code}")
+                    return None
+
+                # 读取 SSE 流并提取图像URL
+                sse_lines = response.text.splitlines()
+                image_markdown = ""
+
+                for line in sse_lines:
+                    if line.startswith("data: "):
+                        data = line[6:].strip()
+                        if data == "[DONE]":
+                            break
+                        try:
+                            sse_json = json.loads(data)
+                            if "choices" in sse_json:
+                                for choice in sse_json["choices"]:
+                                    delta = choice.get("delta", {})
+                                    content = delta.get("content")
+                                    if content:
+                                        image_markdown += content
+                        except json.JSONDecodeError:
+                            print(f"Attempt {attempt} - JSON解析错误")
+                            continue
+
+                # 检查Markdown文本是否为空
+                if not image_markdown:
+                    print(f"Attempt {attempt} - 无法从 SSE 流中构建图像 Markdown。")
+                    return None
+
+                # 从Markdown中提取图像路径
+                extracted_path = extract_path_from_markdown(image_markdown)
+                if not extracted_path:
+                    print(f"Attempt {attempt} - 无法从 Markdown 中提取路径。")
+                    return None
+
+                print(f"Attempt {attempt} - 提取的路径: {extracted_path}")
+
+                # 拼接最终的存储URL
+                storage_url = f"https://api.chaton.ai/storage/{extracted_path}"
+                print(f"Attempt {attempt} - 存储URL: {storage_url}")
+
+                # 获取最终下载URL
+                final_download_url = await fetch_get_url_from_storage(storage_url)
+                if not final_download_url:
+                    print(f"Attempt {attempt} - 无法从 storage URL 获取最终下载链接。")
+                    return None
+
+                print(f"Attempt {attempt} - Final Download URL: {final_download_url}")
+
+                return final_download_url
+        except Exception as e:
+            print(f"Attempt {attempt} - 处理响应时发生错误: {e}")
+            return None
+
+    # 定义一个异步任务池，限制并发数量
+    semaphore = asyncio.Semaphore(10)  # 限制同时进行的任务数为10
+
+    async def generate_with_retries(attempt: int) -> Optional[str]:
+        async with semaphore:
+            return await attempt_generate_image(attempt)
+
+    # 开始尝试生成图像
+    for attempt in range(1, max_attempts + 1):
+        needed = n - len(final_download_urls)
+        if needed <= 0:
+            break
+
+        print(f"Attempt {attempt} - 需要生成的图像数量: {needed}")
+
+        # 创建多个任务同时生成所需数量的图像
+        tasks = [asyncio.create_task(generate_with_retries(attempt)) for _ in range(needed)]
+
+        # 等待所有任务完成
+        results = await asyncio.gather(*tasks, return_exceptions=True)
+
+        for result in results:
+            if isinstance(result, Exception):
+                print(f"Attempt {attempt} - 任务发生异常: {result}")
+                continue
+            if result:
+                final_download_urls.append(result)
+                print(f"Attempt {attempt} - 收集到下载链接: {result}")
+
+        # 检查是否已经收集到足够的下载链接
+        if len(final_download_urls) >= n:
+            break
+
+    # 检查是否收集到足够的链接
+    if len(final_download_urls) < n:
+        print("已达到最大尝试次数，仍未收集到足够数量的下载链接。")
+        return send_error_response("无法生成足够数量的图像。", status_code=500)
+
+    # 根据 response_format 返回相应的响应
+    data_array = []
+
+    if is_base64_response:
+        for download_url in final_download_urls[:n]:
+            try:
+                image_bytes = await download_image(download_url)
+                if not image_bytes:
+                    print(f"无法从 URL 下载图像: {download_url}")
+                    continue
+
+                image_base64 = base64.b64encode(image_bytes).decode('utf-8')
+                data_array.append({
+                    "b64_json": image_base64
+                })
+            except Exception as e:
+                print(f"处理图像时发生错误: {e}")
+                continue
+    else:
+        for download_url in final_download_urls[:n]:
+            data_array.append({
+                "url": download_url
+            })
+
+    # 如果收集的 URL 数量不足 n，则通过复制现有的 URL 来填充
+    while len(data_array) < n and len(data_array) > 0:
+        for item in data_array.copy():
+            if len(data_array) >= n:
+                break
+            data_array.append(item)
+
+    # 构建最终响应
+    response_json = {
+        "created": int(datetime.now(timezone.utc).timestamp()),
+        "data": data_array
+    }
+
+    # 如果data_array为空，返回错误
+    if not data_array:
+        return send_error_response("无法生成图像。", status_code=500)
+
+    # 返回响应
+    return JSONResponse(content=response_json, status_code=200)
+    
+@app.get("/ai/v1/models", response_class=JSONResponse)
+@app.get("/v1/models", response_class=JSONResponse)
+async def get_models():
+    models_data = {
+        "object": "list",
+        "data": [
+            {"id": "gpt-4o", "object": "model"},
+            {"id": "gpt-4o-mini", "object": "model"},
+            {"id": "claude-3-5-sonnet", "object": "model"},
+            {"id": "claude", "object": "model"}
+        ]
+    }
+    return models_data
+
+async def get_available_port(start_port: int = INITIAL_PORT, end_port: int = 65535) -> int:
+    """查找可用的端口号"""
+    for port in range(start_port, end_port + 1):
+        try:
+            # 尝试绑定端口
+            server = await asyncio.start_server(lambda r, w: None, host="0.0.0.0", port=port)
+            server.close()
+            await server.wait_closed()
+            return port
+        except OSError:
+            continue
+    raise RuntimeError(f"No available ports between {start_port} and {end_port}")
+
+def main():
+    parser = argparse.ArgumentParser(description="启动ChatOn API服务器")
+    parser.add_argument('--base_url', type=str, default='http://localhost', help='Base URL for accessing images')
+    parser.add_argument('--port', type=int, default=INITIAL_PORT, help='服务器监听端口')
+    args = parser.parse_args()
+
+    base_url = args.base_url
+    port = args.port
+
+    # 设置 FastAPI 应用的 state
+    app.state.base_url = base_url
+
+    print(f"Starting server on port {port} with base_url: {base_url}")
+
+    # 检查端口可用性
+    try:
+        port = asyncio.run(get_available_port(start_port=port))
+    except RuntimeError as e:
+        print(e)
+        return
+
+    print(f"Server running on available port: {port}")
+
+    # 运行FastAPI应用
+    uvicorn.run(app, host="0.0.0.0", port=port)
+
+if __name__ == "__main__":
+    main()