index.js

import express from 'express';
import fetch from 'node-fetch';
import dotenv from 'dotenv';
import { v4 as uuidv4 } from 'uuid';
import cors from 'cors';

// 初始化环境变量
dotenv.config();

/**
 * 配置管理类
 */
class Config {
    constructor() {
        this.initializeApiKeys();
        this.initializeAuth();

        // 已使用的API Key池
        this.usedApiKeys = [];

        // 失效的API Key池
        this.invalidApiKeys = [];

        // Gemini安全设置
        this.geminiSafety = [
            {
                category: 'HARM_CATEGORY_HARASSMENT',
                threshold: 'OFF',
            },
            {
                category: 'HARM_CATEGORY_HATE_SPEECH',
                threshold: 'OFF',
            },
            {
                category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
                threshold: 'OFF',
            },
            {
                category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
                threshold: 'OFF',
            },
            {
                category: 'HARM_CATEGORY_CIVIC_INTEGRITY',
                threshold: 'OFF',
            },
        ];
    }

    /**
     * 初始化API Keys
     */
    initializeApiKeys() {
        const apiKeysEnv = process.env.GEMINI_API_KEYS;
        if (!apiKeysEnv) {
            console.error('❌ 错误: 未找到 GEMINI_API_KEYS 环境变量');
            process.exit(1);
        }

        // 通过;分割API Keys
        this.apiKeys = apiKeysEnv
            .split('\n')
            .map(key => key.trim())
            .filter(key => key.length > 0);

        if (this.apiKeys.length === 0) {
            console.error('❌ 错误: 没有找到有效的API Keys');
            process.exit(1);
        }

        console.log(`✅ 成功加载 ${this.apiKeys.length} 个API Keys`);
    }

    /**
     * 初始化认证配置
     */
    initializeAuth() {
        this.authToken = process.env.AUTH_TOKEN || 'sk-123456';
    }

    /**
     * 获取可用的API Key（负载均衡）
     */
    getApiKey() {
        if (this.apiKeys.length === 0) {
            if (this.usedApiKeys.length > 0) {
                this.apiKeys.push(...this.usedApiKeys);
                this.usedApiKeys = [];
            } else {
                return null;
            }
        }

        const apiKey = this.apiKeys.shift();
        this.usedApiKeys.push(apiKey);
        return apiKey;
    }

    /**
     * 获取第一个可用的API Key（用于模型列表请求）
     */
    getFirstAvailableApiKey() {
        if (this.apiKeys.length > 0) {
            return this.apiKeys[0];
        }
        if (this.usedApiKeys.length > 0) {
            return this.usedApiKeys[0];
        }
        return null;
    }

    /**
     * 将API Key标记为失效
     */
    markKeyAsInvalid(apiKey) {
        const usedIndex = this.usedApiKeys.indexOf(apiKey);
        if (usedIndex !== -1) {
            this.usedApiKeys.splice(usedIndex, 1);
        }

        const mainIndex = this.apiKeys.indexOf(apiKey);
        if (mainIndex !== -1) {
            this.apiKeys.splice(mainIndex, 1);
        }

        if (!this.invalidApiKeys.includes(apiKey)) {
            this.invalidApiKeys.push(apiKey);
        }

        console.warn(`⚠️ API Key 已标记为失效: ${apiKey.substring(0, 10)}...`);
    }

    /**
     * 将API Key移回已使用池
     */
    moveToUsed(apiKey) {
        if (!this.usedApiKeys.includes(apiKey)) {
            this.usedApiKeys.push(apiKey);
        }
    }

    /**
     * 验证授权头
     */
    validateAuth(authHeader) {
        if (!authHeader) {
            return false;
        }

        const token = authHeader.replace('Bearer ', '');
        return token === this.authToken;
    }

    /**
     * 获取可用API Key数量
     */
    getAvailableKeysCount() {
        return this.apiKeys.length + this.usedApiKeys.length;
    }
}

/**
 * 图片处理器类
 */
class ImageProcessor {
    /**
     * 从data URL中提取MIME类型和base64数据
     */
    static parseDataUrl(dataUrl) {
        try {
            // 匹配data:image/jpeg;base64,<base64data>格式
            const match = dataUrl.match(/^data:([^;]+);base64,(.+)$/);
            if (!match) {
                throw new Error('无效的data URL格式');
            }

            const mimeType = match[1];
            const base64Data = match[2];

            // 验证MIME类型是否为支持的图片格式
            const supportedMimeTypes = [
                'image/jpeg',
                'image/jpg',
                'image/png',
                'image/gif',
                'image/webp',
                'image/bmp',
                'image/tiff'
            ];

            if (!supportedMimeTypes.includes(mimeType.toLowerCase())) {
                throw new Error(`不支持的图片格式: ${mimeType}`);
            }

            return {
                mimeType,
                data: base64Data
            };
        } catch (error) {
            console.error('解析图片data URL错误:', error);
            throw error;
        }
    }

    /**
     * 验证base64数据是否有效
     */
    static validateBase64(base64String) {
        try {
            // 基本格式检查
            if (!/^[A-Za-z0-9+/]*={0,2}$/.test(base64String)) {
                return false;
            }

            // 长度检查（base64编码长度应该是4的倍数）
            return base64String.length % 4 === 0;
        } catch (error) {
            return false;
        }
    }

    /**
     * 从URL下载图片并转换为base64
     */
    static async fetchImageAsBase64(imageUrl) {
        try {
            const response = await fetch(imageUrl, {
                timeout: 30000, // 30秒超时
                headers: {
                    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
                }
            });

            if (!response.ok) {
                throw new Error(`获取图片失败: HTTP ${response.status}`);
            }

            const contentType = response.headers.get('content-type');
            if (!contentType || !contentType.startsWith('image/')) {
                throw new Error(`URL返回的不是图片类型: ${contentType}`);
            }

            const buffer = await response.buffer();
            const base64Data = buffer.toString('base64');

            return {
                mimeType: contentType,
                data: base64Data
            };
        } catch (error) {
            console.error('下载图片错误:', error);
            throw error;
        }
    }
}

/**
 * 消息转换器类（增强版）
 */
class MessageConverter {
    /**
     * 将OpenAI格式的消息转换为Gemini格式（支持图片）
     */
    static async convertMessages(openaiMessages) {
        const geminiMessages = [];
        let currentRole = null;
        let currentParts = [];
        let system_instruction = null;

        for (const message of openaiMessages) {
            let role = message.role;
            let content = message.content;

            // 角色转换
            if(role == 'system'){
                role = 'user';
            }
            if (role === 'assistant') {
                role = 'model';
            }

            // 处理内容
            let parts = [];

            if (typeof content === 'string') {
                // 简单文本消息
                parts = [{ text: content }];
            } else if (Array.isArray(content)) {
                // 多模态消息（包含文本和图片）
                parts = await this.convertContentArray(content);
            } else {
                // 其他格式，转为文本
                parts = [{ text: String(content) }];
            }
            // if (role === 'system') {
            //     system_instruction = parts;
            //     continue;
            // }

            // 合并相同角色的连续消息
            if (role === currentRole) {
                currentParts.push(...parts);
            } else {
                // 保存上一个角色的消息
                if (currentRole !== null && currentParts.length > 0) {
                    geminiMessages.push({
                        role: currentRole,
                        parts: currentParts
                    });
                }

                // 开始新角色
                currentRole = role;
                currentParts = [...parts];
            }
        }

        // 添加最后一个消息
        if (currentRole !== null && currentParts.length > 0) {
            geminiMessages.push({
                role: currentRole,
                parts: currentParts
            });
        }

        return geminiMessages;
    }

    /**
     * 转换OpenAI的content数组为Gemini的parts格式
     */
    static async convertContentArray(contentArray) {
        const parts = [];

        for (const item of contentArray) {
            try {
                if (item.type === 'text') {
                    // 文本内容
                    parts.push({ text: item.text || '' });
                } else if (item.type === 'image_url') {
                    // 图片内容
                    const imagePart = await this.convertImageContent(item);
                    if (imagePart) {
                        parts.push(imagePart);
                    }
                } else {
                    // 其他类型，尝试转为文本
                    console.warn(`未知的内容类型: ${item.type}，将转为文本处理`);
                    parts.push({ text: JSON.stringify(item) });
                }
            } catch (error) {
                console.error('转换内容项错误:', error);
                // 出错时跳过该项，避免整个请求失败
                continue;
            }
        }

        return parts;
    }

    /**
     * 转换图片内容为Gemini格式
     */
    static async convertImageContent(imageItem) {
        try {
            const imageUrl = imageItem.image_url?.url;
            if (!imageUrl) {
                throw new Error('缺少图片URL');
            }

            let imageData;

            if (imageUrl.startsWith('data:')) {
                // 处理base64数据URL
                imageData = ImageProcessor.parseDataUrl(imageUrl);

                // 验证base64数据
                if (!ImageProcessor.validateBase64(imageData.data)) {
                    throw new Error('无效的base64图片数据');
                }
            } else if (imageUrl.startsWith('http://') || imageUrl.startsWith('https://')) {
                // 处理网络图片URL
                imageData = await ImageProcessor.fetchImageAsBase64(imageUrl);
            } else {
                throw new Error(`不支持的图片URL格式: ${imageUrl}`);
            }

            // 返回Gemini格式的图片数据
            return {
                inlineData: {
                    mimeType: imageData.mimeType,
                    data: imageData.data
                }
            };
        } catch (error) {
            console.error('转换图片内容错误:', error);
            // 返回错误信息文本，而不是抛出异常
            return { text: `[图片处理失败: ${error.message}]` };
        }
    }

    /**
     * 从OpenAI请求中提取参数
     */
    static extractParams(openaiRequest) {
        return {
            model: openaiRequest.model || 'gemini-2.5-flash',
            messages: openaiRequest.messages || [],
            stream: openaiRequest.stream || false,
            temperature: openaiRequest.temperature,
            maxTokens: openaiRequest.max_tokens,
            topP: openaiRequest.top_p
        };
    }
}

/**
 * 模型管理类
 */
class ModelManager {
    constructor(config) {
        this.config = config;
        this.cachedModels = null;
        this.cacheExpiry = null;
        this.cacheTimeout = 5 * 60 * 1000; // 5分钟缓存
    }

    /**
     * 获取模型列表
     */
    async getModels() {
        if (this.cachedModels && this.cacheExpiry && Date.now() < this.cacheExpiry) {
            return { success: true, data: this.cachedModels };
        }

        const apiKey = this.config.getFirstAvailableApiKey();
        if (!apiKey) {
            return {
                success: false,
                error: '没有可用的API Key',
                status: 503
            };
        }

        try {
            const response = await fetch(`https://generativelanguage.googleapis.com/v1beta/models?key=${apiKey}`, {
                method: 'GET',
                headers: {
                    'Content-Type': 'application/json'
                }
            });

            if (!response.ok) {
                return {
                    success: false,
                    error: `获取模型列表失败: ${response.status}`,
                    status: response.status
                };
            }

            const geminiResponse = await response.json();
            const filteredModels = this.filterModels(geminiResponse.models || []);

            this.cachedModels = filteredModels;
            this.cacheExpiry = Date.now() + this.cacheTimeout;

            return { success: true, data: filteredModels };

        } catch (error) {
            console.error('获取模型列表错误:', error);
            return {
                success: false,
                error: '网络请求失败',
                status: 500
            };
        }
    }

    /**
     * 过滤模型 - 保持原始Gemini模型名，并增加视觉模型支持
     */
    filterModels(models) {
        const allowedPrefixes = [
            'models/gemini-2.5-flash',
            'models/gemini-2.0-flash',
            'models/gemini-1.5-flash'
        ];

        const excludedModels = [
            'models/gemini-1.5-flash-8b'
        ];

        const filteredModels = models.filter(model => {
            const modelName = model.name;

            if (excludedModels.some(excluded => modelName.startsWith(excluded))) {
                return false;
            }
            if (modelName == "models/gemini-2.5-pro") {
                return true;
            }

            return allowedPrefixes.some(prefix => modelName.startsWith(prefix));
        });

        // 转换为OpenAI格式但保持Gemini模型名
        const processedModels = filteredModels.map(model => {
            const modelId = model.name.replace('models/', '');

            return {
                id: modelId, // 直接使用Gemini模型名
                object: 'model',
                created: Math.floor(Date.now() / 1000),
                owned_by: 'google',
                permission: [
                    {
                        id: `modelperm-${modelId}`,
                        object: 'model_permission',
                        created: Math.floor(Date.now() / 1000),
                        allow_create_engine: false,
                        allow_sampling: true,
                        allow_logprobs: false,
                        allow_search_indices: false,
                        allow_view: true,
                        allow_fine_tuning: false,
                        organization: '*',
                        group: null,
                        is_blocking: false
                    }
                ],
                root: modelId,
                parent: null
            };
        });

        return {
            object: 'list',
            data: processedModels
        };
    }
}

/**
 * Gemini API 请求构建器类
 */
class GeminiRequestBuilder {
    constructor(config) {
        this.config = config;
    }

    /**
     * 构建Gemini API请求体
     */
    buildRequestBody(geminiMessages, params) {
        const requestBody = {
            contents: geminiMessages,
            safetySettings: this.config.geminiSafety,
            generationConfig: {}
        };

        if (params.temperature !== undefined) {
            requestBody.generationConfig.temperature = params.temperature;
        }

        if (params.maxTokens !== undefined) {
            requestBody.generationConfig.maxOutputTokens = params.maxTokens;
        }

        if (params.topP !== undefined) {
            requestBody.generationConfig.topP = params.topP;
        }

        if (params.model == "gemini-2.5-pro") {
            requestBody.generationConfig.thinkingConfig = {
                thinkingBudget: 128
            };
        }
        return requestBody;
    }

    /**
     * 构建Gemini API URL
     */
    buildApiUrl(model, apiKey, isStream = false) {
        const method = isStream ? 'streamGenerateContent' : 'generateContent';
        return `https://generativelanguage.googleapis.com/v1beta/models/${model}:${method}?key=${apiKey}`;
    }
}

/**
 * 响应转换器类
 */
class ResponseConverter {
    /**
     * 将Gemini流式响应块转换为OpenAI格式
     */
    static convertStreamChunk(geminiData, requestId, model) {
        try {
            if (geminiData.candidates && geminiData.candidates[0]) {
                const candidate = geminiData.candidates[0];
                if (candidate.content && candidate.content.parts) {
                    const text = candidate.content.parts[0]?.text || '';
                    const openaiChunk = {
                        id: requestId,
                        object: 'chat.completion.chunk',
                        created: Math.floor(Date.now() / 1000),
                        model: model, // 使用当前请求的模型名
                        choices: [{
                            index: 0,
                            delta: { content: text },
                            finish_reason: candidate.finishReason === 'STOP' ? 'stop' : null
                        }]
                    };
                    return `data: ${JSON.stringify(openaiChunk)}\n\n`;
                }
            }
            return '';
        } catch (error) {
            console.error('转换流响应块错误:', error);
            return '';
        }
    }

    /**
     * 将Gemini非流式响应转换为OpenAI格式
     */
    static convertNormalResponse(geminiResponse, requestId, model) {
        const openaiResponse = {
            id: requestId,
            object: 'chat.completion',
            created: Math.floor(Date.now() / 1000),
            model: model, // 使用当前请求的模型名
            choices: [],
            usage: {
                prompt_tokens: 0,
                completion_tokens: 0,
                total_tokens: 0
            }
        };

        if (geminiResponse.candidates && geminiResponse.candidates[0]) {
            const candidate = geminiResponse.candidates[0];
            if (candidate.content && candidate.content.parts) {
                const text = candidate.content.parts.map(part => part.text).join('');
                openaiResponse.choices.push({
                    index: 0,
                    message: {
                        role: 'assistant',
                        content: text
                    },
                    finish_reason: candidate.finishReason === 'STOP' ? 'stop' : 'length'
                });
            }
        }

        // 尝试从usage信息中获取token使用量
        if (geminiResponse.usageMetadata) {
            openaiResponse.usage = {
                prompt_tokens: geminiResponse.usageMetadata.promptTokenCount || 0,
                completion_tokens: geminiResponse.usageMetadata.candidatesTokenCount || 0,
                total_tokens: geminiResponse.usageMetadata.totalTokenCount || 0
            };
        }

        return openaiResponse;
    }

    /**
     * 检查响应是否包含有效文本
     */
    static hasValidTextContent(geminiResponse) {
        if (!geminiResponse.candidates || !geminiResponse.candidates[0]) {
            return false;
        }

        const candidate = geminiResponse.candidates[0];
        if (!candidate.content || !candidate.content.parts) {
            return false;
        }

        const text = candidate.content.parts
            .map(part => part.text || '')
            .join('')
            .trim();

        return text.length > 0;
    }

    /**
     * 将文本拆分为假流式块
     */
    static splitTextToFakeStream(text, requestId, model) {
        const chunks = [];
        const chunkSize = 3; // 每个块包含的字符数

        for (let i = 0; i < text.length; i += chunkSize) {
            const chunk = text.slice(i, i + chunkSize);
            const isLast = i + chunkSize >= text.length;

            const openaiChunk = {
                id: requestId,
                object: 'chat.completion.chunk',
                created: Math.floor(Date.now() / 1000),
                model: model,
                choices: [{
                    index: 0,
                    delta: { content: chunk },
                    finish_reason: isLast ? 'stop' : null
                }]
            };

            chunks.push(`data: ${JSON.stringify(openaiChunk)}\n\n`);
        }

        return chunks;
    }
}

/**
 * Gemini实时流式响应解析器
 */
class GeminiRealtimeStreamParser {
    constructor(response, onChunk) {
        this.response = response;
        this.onChunk = onChunk;
        this.buffer = '';
        this.bufferLv = 0;
        this.inString = false;
        this.escapeNext = false;
        this.decoder = new TextDecoder();
    }
    
    async start() {
        try {
            for await (const chunk of this.response.body) {
                const text = this.decoder.decode(chunk, { stream: true });
                await this.processText(text);
            }
            
            await this.handleRemainingBuffer();
        } catch (error) {
            console.error('流式解析错误:', error);
            throw error;
        }
    }
    
    async processText(text) {
        for (const char of text) {
            if (this.escapeNext) {
                if (this.bufferLv > 1) {
                    this.buffer += char;
                }
                this.escapeNext = false;
                continue;
            }
            
            if (char === '\\' && this.inString) {
                this.escapeNext = true;
                if (this.bufferLv > 1) {
                    this.buffer += char;
                }
                continue;
            }
            
            if (char === '"') {
                this.inString = !this.inString;
            }
            
            if (!this.inString) {
                if (char === '{' || char === '[') {
                    this.bufferLv++;
                } else if (char === '}' || char === ']') {
                    this.bufferLv--;
                }
            }
            
            if (this.bufferLv > 1) {
                if (this.inString && char === '\n') {
                    this.buffer += '\\n';
                } else {
                    this.buffer += char;
                }
            } else if (this.bufferLv === 1 && this.buffer) {
                this.buffer += '}';
                
                try {
                    const bufferJson = JSON.parse(this.buffer);
                    await this.onChunk(bufferJson);
                } catch (parseError) {
                    console.error('解析Gemini流数据错误:', parseError);
                }
                
                this.buffer = '';
            }
        }
    }
    
    async handleRemainingBuffer() {
        if (this.buffer.trim() && this.bufferLv >= 1) {
            try {
                if (!this.buffer.endsWith('}')) {
                    this.buffer += '}';
                }
                const bufferJson = JSON.parse(this.buffer);
                await this.onChunk(bufferJson);
            } catch (parseError) {
                console.error('解析最后的缓冲区数据错误:', parseError);
            }
        }
    }
}


/**
 * 认证中间件
 */
class AuthMiddleware {
    constructor(config) {
        this.config = config;
    }

    middleware() {
        return (req, res, next) => {
            // 跳过健康检查和预检请求
            if (req.path === '/health' || req.method === 'OPTIONS') {
                return next();
            }

            const authHeader = req.headers.authorization;

            if (!this.config.validateAuth(authHeader)) {
                return res.status(401).json({
                    error: {
                        message: 'Invalid authentication credentials',
                        type: 'invalid_request_error',
                        code: 'invalid_api_key'
                    }
                });
            }

            next();
        };
    }
}

/**
 * API代理服务类
 */
class ApiProxyService {
    constructor() {
        this.config = new Config();
        this.requestBuilder = new GeminiRequestBuilder(this.config);
        this.modelManager = new ModelManager(this.config);
        this.authMiddleware = new AuthMiddleware(this.config);
    }

    /**
     * 处理聊天API请求（支持图片）
     */
    async handleChatRequest(req, res) {
        try {
            const requestId = `chatcmpl-${uuidv4()}`;

            const params = MessageConverter.extractParams(req.body);

            // 异步转换消息（支持图片处理）
            const geminiMessages = await MessageConverter.convertMessages(params.messages);

            if (!geminiMessages || geminiMessages.length === 0) {
                return res.status(400).json({
                    error: {
                        message: '无效的消息格式或消息为空',
                        type: 'invalid_request_error',
                        code: 'invalid_messages'
                    }
                });
            }

            const requestBody = this.requestBuilder.buildRequestBody(geminiMessages, params);

            if (params.stream) {
                const result = await this.handleStreamRequest(requestBody, params, requestId, res);
                if (!result.success) {
                    res.status(result.status || 500).json({ error: result.error });
                }
            } else {
                const result = await this.executeNormalRequest(requestBody, params, requestId);
                if (result.success) {
                    res.json(result.data);
                } else {
                    res.status(result.status || 500).json({ error: result.error });
                }
            }
        } catch (error) {
            console.error('处理聊天请求错误:', error);
            res.status(500).json({
                error: {
                    message: '内部服务器错误: ' + error.message,
                    type: 'internal_server_error',
                    code: 'server_error'
                }
            });
        }
    }

    /**
     * 处理假流式聊天API请求
     */
    async handleFakeStreamChatRequest(req, res) {
        try {
            const requestId = `chatcmpl-${uuidv4()}`;

            const params = MessageConverter.extractParams(req.body);

            // 异步转换消息（支持图片处理）
            const geminiMessages = await MessageConverter.convertMessages(params.messages);

            if (!geminiMessages || geminiMessages.length === 0) {
                return res.status(400).json({
                    error: {
                        message: '无效的消息格式或消息为空',
                        type: 'invalid_request_error',
                        code: 'invalid_messages'
                    }
                });
            }

            const requestBody = this.requestBuilder.buildRequestBody(geminiMessages, params);
            console.log("开始请求");

            if (params.stream) {
                // 假流式处理：使用非流式请求，然后模拟流式响应
                const result = await this.handleFakeStreamRequest(requestBody, params, requestId, res);
                if (!result.success) {
                    res.status(result.status || 500).json({ error: result.error });
                }
            } else {
                // 非流式请求和原来一样
                const result = await this.executeNormalRequest(requestBody, params, requestId);
                if (result.success) {
                    res.json(result.data);
                } else {
                    res.status(result.status || 500).json({ error: result.error });
                }
            }
        } catch (error) {
            console.error('处理假流式聊天请求错误:', error);
            res.status(500).json({
                error: {
                    message: '内部服务器错误: ' + error.message,
                    type: 'internal_server_error',
                    code: 'server_error'
                }
            });
        }
    }

    /**
     * 处理假流式请求
     */
    async handleFakeStreamRequest(requestBody, params, requestId, res) {
        try {
            // 设置流式响应头
            res.writeHead(200, {
                'Content-Type': 'text/event-stream',
                'Cache-Control': 'no-cache',
                'Connection': 'keep-alive',
                'Access-Control-Allow-Origin': '*'
            });

            // 开始发送ping消息保持连接活跃
            const pingInterval = setInterval(() => {
                try {
                    res.write(': ping\n\n');
                } catch (error) {
                    clearInterval(pingInterval);
                }
            }, 1000); // 每秒发送一次ping

            // 执行非流式请求
            const result = await this.executeNormalRequest(requestBody, params, requestId);

            // 停止ping
            clearInterval(pingInterval);

            if (!result.success) {
                res.write(`data: ${JSON.stringify({ error: result.error })}\n\n`);
                res.write('data: [DONE]\n\n');
                res.end();
                return { success: false };
            }

            // 获取响应文本
            const responseText = result.data.choices[0]?.message?.content || '';

            if (responseText) {
                // 将文本拆分为假流式块
                const chunks = ResponseConverter.splitTextToFakeStream(responseText, requestId, params.model);

                // 逐步发送块，模拟流式响应
                for (const chunk of chunks) {
                    res.write(chunk);
                    // 添加小延迟以模拟真实的流式响应
                    await new Promise(resolve => setTimeout(resolve, 50));
                }
            }

            res.write('data: [DONE]\n\n');
            res.end();

            return { success: true };

        } catch (error) {
            console.error('处理假流式请求错误:', error);
            try {
                res.write(`data: ${JSON.stringify({ error: '内部服务器错误: ' + error.message })}\n\n`);
                res.write('data: [DONE]\n\n');
                res.end();
            } catch (writeError) {
                console.error('写入错误响应失败:', writeError);
            }
            return { success: false, error: error.message };
        }
    }

    /**
     * 处理流式请求（优化后的重试逻辑）
     */
    async handleStreamRequest(requestBody, params, requestId, res, retryCount = 0) {
        const maxRetries = 5;
        let apiKey = null;
        let response = null;

        // 在429错误或内容被阻止时尝试使用不同的API Key
        for (let keyAttempt = 0; keyAttempt < maxRetries; keyAttempt++) {
            console.log(`尝试请求 (${keyAttempt + 1}/${maxRetries})`);
            apiKey = this.config.getApiKey();
            if (!apiKey) {
                if (this.config.getAvailableKeysCount() === 0) {
                    return { success: false, error: '目前暂无可用的API Key', status: 503 };
                }
                continue;
            }

            console.log(`使用API Key: ${apiKey?.substring(0, 10)}...`);
            try {
                const apiUrl = this.requestBuilder.buildApiUrl(params.model, apiKey, true);

                response = await fetch(apiUrl, {
                    method: 'POST',
                    headers: { 'Content-Type': 'application/json' },
                    body: JSON.stringify(requestBody)
                });

                if (response.status === 403) {
                    this.config.markKeyAsInvalid(apiKey);
                    console.log(`API Key失效，尝试下一个 (${keyAttempt + 1}/${maxRetries})`);
                    continue;
                }

                if (response.status === 429) {
                    this.config.moveToUsed(apiKey);
                    console.log(`请求频率限制，切换API Key (${keyAttempt + 1}/${maxRetries})`);
                    continue;
                }

                if (response.status === 500) {
                    this.config.moveToUsed(apiKey);
                    return { success: false, error: '目前服务器繁忙，请稍后重试', status: 500 };
                }

                if (!response.ok) {
                    const errorText = await response.text();
                    console.error(`API请求失败: ${response.status}, 错误信息: ${errorText}`);
                    return { success: false, error: `API请求失败: ${response.status}`, status: response.status };
                }

                // 创建一个新的解析器来预检第一个chunk
                let firstChunkData = null;
                let isProhibitedContent = false;
                let responseStarted = false;

                const parser = new GeminiRealtimeStreamParser(response, async (geminiData) => {
                    // 如果是第一个chunk，检查是否被阻止
                    if (firstChunkData === null) {
                        firstChunkData = geminiData;

                        // 检查是否因为内容被禁止而阻止
                        if (geminiData.promptFeedback &&
                            geminiData.promptFeedback.blockReason === 'PROHIBITED_CONTENT') {
                            isProhibitedContent = true;
                            console.log(`内容被阻止 (PROHIBITED_CONTENT)，切换API Key重试 (${keyAttempt + 1}/${maxRetries})`);
                            return; // 不处理这个chunk
                        }

                        // 第一个chunk正常，开始发送响应头
                        res.writeHead(200, {
                            'Content-Type': 'text/event-stream',
                            'Cache-Control': 'no-cache',
                            'Connection': 'keep-alive',
                            'Access-Control-Allow-Origin': '*'
                        });
                        responseStarted = true;

                        // 发送第一个chunk的内容
                        const convertedChunk = ResponseConverter.convertStreamChunk(geminiData, requestId, params.model);
                        if (convertedChunk) {
                            res.write(convertedChunk);
                        }
                    } else {
                        // 后续的chunks，如果响应已开始，直接发送
                        if (responseStarted && !isProhibitedContent) {
                            const convertedChunk = ResponseConverter.convertStreamChunk(geminiData, requestId, params.model);
                            if (convertedChunk) {
                                res.write(convertedChunk);
                            }
                        }
                    }
                });

                await parser.start();

                // 如果内容被阻止，尝试下一个API Key
                if (isProhibitedContent) {
                    this.config.moveToUsed(apiKey);
                    if (keyAttempt < maxRetries - 1) {
                        continue;
                    }
                    return { success: false, error: '内容被阻止', status: 503 };
                }

                // 如果响应已开始，发送结束标记
                if (responseStarted) {
                    res.write('data: [DONE]\n\n');
                    res.end();
                    return { success: true };
                }

                // 如果没有开始响应（异常情况），返回错误
                return { success: false, error: '未收到有效响应', status: 204 };

            } catch (error) {
                console.error(`执行流式请求错误 (尝试 ${keyAttempt + 1}/${maxRetries}):`, error);
                this.config.moveToUsed(apiKey);

                if (keyAttempt < maxRetries - 1) {
                    continue;
                }

                return { success: false, error: '网络请求失败: ' + error.message, status: 500 };
            }
        }

        return { success: false, error: '所有重试均失败', status: 500 };
    }


    /**
     * 处理非流式请求（优化后的重试逻辑）
     */
    async executeNormalRequest(requestBody, params, requestId, retryCount = 0) {
        const maxRetries = 5;
        let apiKey = null;
        let response = null;
        let geminiResponse = null;
    
        // 修改循环条件，使其能够重试
        for (let keyAttempt = 0; keyAttempt < maxRetries; keyAttempt++) {
            console.log(`尝试请求 (${keyAttempt + 1}/${maxRetries})`);   
            apiKey = this.config.getApiKey();
            
            if (!apiKey) {
                if (this.config.getAvailableKeysCount() === 0) {
                    return { success: false, error: '目前暂无可用的API Key', status: 503 };
                }
                continue;
            }
            console.log(`使用API Key: ${apiKey?.substring(0, 10)}...`);
    
            try {
                const apiUrl = this.requestBuilder.buildApiUrl(params.model, apiKey, false);
    
                response = await fetch(apiUrl, {
                    method: 'POST',
                    headers: { 'Content-Type': 'application/json' },
                    body: JSON.stringify(requestBody)
                });
    
                if (response.status === 403) {
                    this.config.markKeyAsInvalid(apiKey);
                    console.log(`API Key失效，尝试下一个 (${keyAttempt + 1}/${maxRetries})`);
                    continue;
                }
    
                if (response.status === 429) {
                    this.config.moveToUsed(apiKey);
                    console.log(`请求频率限制，切换API Key (${keyAttempt + 1}/${maxRetries})`);
                    continue;
                }
    
                if (response.status === 500) {
                    this.config.moveToUsed(apiKey);
                    return { success: false, error: '目前服务器繁忙，请稍后重试', status: 500 };
                }
    
                if (!response.ok) {
                    const errorText = await response.text();
                    console.error(`API请求失败: ${response.status}, 错误信息: ${errorText}`);
                    return { success: false, error: `API请求失败: ${response.status}`, status: response.status };
                }
    
                geminiResponse = await response.json();
                console.log(JSON.stringify(geminiResponse, null, 2));
    
                // 检查是否因为内容被禁止而阻止
                if (geminiResponse.candidates && 
                    geminiResponse.candidates.finishReason === 'PROHIBITED_CONTENT') {
                    console.log(`内容被阻止 (PROHIBITED_CONTENT)，切换API Key重试 (${keyAttempt + 1}/${maxRetries})`);
                    this.config.moveToUsed(apiKey);
                    if (keyAttempt < maxRetries - 1) {
                        continue;
                    }
                    
                    return { success: false, error: '内容被阻止', status: 503 };
                }
    
                // 检查响应是否包含有效文本
                if (!ResponseConverter.hasValidTextContent(geminiResponse)) {
                    console.log(`响应无文本内容，切换API Key重试 (${keyAttempt + 1}/${maxRetries})`);
                    this.config.moveToUsed(apiKey);
    
                    if (keyAttempt < maxRetries - 1) {
                        continue;
                    }
    
                    return { success: false, error: '响应无文本内容', status: 204 };
                }
    
                const openaiResponse = ResponseConverter.convertNormalResponse(geminiResponse, requestId, params.model);
                return { success: true, data: openaiResponse };
    
            } catch (error) {
                console.error(`执行非流式请求错误 (尝试 ${keyAttempt + 1}/${maxRetries}):`, error);
                this.config.moveToUsed(apiKey);
    
                if (keyAttempt < maxRetries - 1) {
                    continue;
                }
    
                return { success: false, error: '网络请求失败: ' + error.message, status: 500 };
            }
        }
    
        return { success: false, error: '所有重试均失败', status: 500 };
    }
    

    /**
     * 处理模型列表请求
     */
    async handleModelsRequest(req, res) {
        try {
            const result = await this.modelManager.getModels();

            if (result.success) {
                res.json(result.data);
            } else {
                res.status(result.status || 500).json({ error: result.error });
            }
        } catch (error) {
            console.error('处理模型列表请求错误:', error);
            res.status(500).json({ error: '内部服务器错误' });
        }
    }
}

/**
 * Express 服务器
 */
class Server {
    constructor() {
        this.app = express();
        this.apiProxy = new ApiProxyService();
        this.setupMiddleware();
        this.setupRoutes();
    }

    setupMiddleware() {
        // CORS配置
        this.app.use(cors({
            origin: '*',
            credentials: true,
            optionsSuccessStatus: 200
        }));

        // JSON解析 - 增加大小限制以支持图片
        this.app.use(express.json({ limit: '50mb' }));
        this.app.use(express.urlencoded({ limit: '50mb', extended: true }));

        // 认证中间件
        this.app.use(this.apiProxy.authMiddleware.middleware());

        // 请求日志中间件
        this.app.use((req, res, next) => {
            const start = Date.now();
            res.on('finish', () => {
                const duration = Date.now() - start;
                console.log(`${req.method} ${req.path} - ${res.statusCode} [${duration}ms]`);
            });
            next();
        });
    }

    setupRoutes() {
        // 原始聊天接口（支持图片）
        this.app.post('/v1/chat/completions', (req, res) => {
            this.apiProxy.handleChatRequest(req, res);
        });

        // 假流式聊天接口
        this.app.post('/fakestream/v1/chat/completions', (req, res) => {
            this.apiProxy.handleFakeStreamChatRequest(req, res);
        });

        // 原始模型列表接口
        this.app.get('/v1/models', (req, res) => {
            this.apiProxy.handleModelsRequest(req, res);
        });

        // 假流式模型列表接口（逻辑相同）
        this.app.get('/fakestream/v1/models', (req, res) => {
            this.apiProxy.handleModelsRequest(req, res);
        });

        // 健康检查接口
        this.app.get('/health', (req, res) => {
            res.json({
                status: 'healthy',
                timestamp: new Date().toISOString(),
                availableKeys: this.apiProxy.config.apiKeys.length,
                usedKeys: this.apiProxy.config.usedApiKeys.length,
                invalidKeys: this.apiProxy.config.invalidApiKeys.length,
                version: '2.1.0',
                features: ['text', 'vision', 'stream', 'fake_stream', 'load_balancing', 'auto_retry']
            });
        });

        // 404处理
        this.app.use('*', (req, res) => {
            res.status(404).json({
                error: {
                    message: 'Not Found',
                    type: 'invalid_request_error',
                    code: 'not_found'
                }
            });
        });

        // 全局错误处理
        this.app.use((err, req, res, next) => {
            console.error('服务器错误:', err);
            res.status(500).json({
                error: {
                    message: '内部服务器错误',
                    type: 'internal_server_error',
                    code: 'server_error'
                }
            });
        });
    }

    start(port = 3000) {
        this.app.listen(port, () => {
            console.log(`🚀 OpenAI to Gemini Proxy Server (Enhanced) 启动在端口 ${port}`);
            console.log(`📍 聊天API: http://localhost:${port}/v1/chat/completions`);
            console.log(`📍 假流式聊天API: http://localhost:${port}/fakestream/v1/chat/completions`);
            console.log(`📋 模型列表: http://localhost:${port}/v1/models`);
            console.log(`📋 假流式模型列表: http://localhost:${port}/fakestream/v1/models`);
            console.log(`🔍 健康检查: http://localhost:${port}/health`);
            console.log(`✨ 新特性: 自动重试机制 - 429错误和无内容响应时自动切换API Key`);
        });
    }
}

// 启动服务器
const server = new Server();
const port = process.env.PORT || 3000;
server.start(port);