chore: 更新版本号至 2.0.10

将 VERSION 文件复制到 Docker 镜像中，以便在运行时可以访问版本信息。

.env.example

@@ -1,15 +1,46 @@
+# MySQL数据库配置
+MYSQL_HOST=gemini-balance-mysql
+MYSQL_PORT=3306
+MYSQL_USER=gemini
+MYSQL_PASSWORD=change_me
+MYSQL_DATABASE=default_db
 API_KEYS=["AIzaSyxxxxxxxxxxxxxxxxxxx","AIzaSyxxxxxxxxxxxxxxxxxxx"]
 ALLOWED_TOKENS=["sk-123456"]
 # AUTH_TOKEN=sk-123456
-MODEL_SEARCH=["gemini-2.0-flash-exp","gemini-2.0-pro-exp"]
-TOOLS_CODE_EXECUTION_ENABLED=true
+TEST_MODEL=gemini-1.5-flash
+THINKING_MODELS=["gemini-2.5-flash-preview-04-17"]
+THINKING_BUDGET_MAP={"gemini-2.5-flash-preview-04-17": 4000}
+IMAGE_MODELS=["gemini-2.0-flash-exp"]
+SEARCH_MODELS=["gemini-2.0-flash-exp","gemini-2.0-pro-exp"]
+FILTERED_MODELS=["gemini-1.0-pro-vision-latest", "gemini-pro-vision", "chat-bison-001", "text-bison-001", "embedding-gecko-001"]
+TOOLS_CODE_EXECUTION_ENABLED=false
 SHOW_SEARCH_LINK=true
 SHOW_THINKING_PROCESS=true
 BASE_URL=https://generativelanguage.googleapis.com/v1beta
 MAX_FAILURES=10
+MAX_RETRIES=3
+CHECK_INTERVAL_HOURS=1
+TIMEZONE=Asia/Shanghai
+# 请求超时时间（秒）
+TIME_OUT=300
 #########################image_generate 相关配置###########################
 PAID_KEY=AIzaSyxxxxxxxxxxxxxxxxxxx
 CREATE_IMAGE_MODEL=imagen-3.0-generate-002
 UPLOAD_PROVIDER=smms
 SMMS_SECRET_TOKEN=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+PICGO_API_KEY=xxxx
+CLOUDFLARE_IMGBED_URL=https://xxxxxxx.pages.dev/upload
+CLOUDFLARE_IMGBED_AUTH_CODE=xxxxxxxxx
+##########################################################################
+#########################stream_optimizer 相关配置########################
+STREAM_OPTIMIZER_ENABLED=false
+STREAM_MIN_DELAY=0.016
+STREAM_MAX_DELAY=0.024
+STREAM_SHORT_TEXT_THRESHOLD=10
+STREAM_LONG_TEXT_THRESHOLD=50
+STREAM_CHUNK_SIZE=5
+##########################################################################
+######################### 日志配置 #######################################
+# 日志级别 (debug, info, warning, error, critical)，默认为 info
+LOG_LEVEL=info
 ##########################################################################

.github/workflows/docker-publish.yml

@@ -2,8 +2,6 @@ name: Docker Image CI
 
 on:
   push:
-    # branches: [ "main" ]
-    tags: [ 'v*.*.*' ]
   pull_request:
     branches: [ "main" ]
 
@@ -43,20 +41,30 @@ jobs:
         with:
           images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
           tags: |
-            type=raw,value=latest,enable={{is_default_branch}}
+            # https://github.com/docker/metadata-action/tree/v5/?tab=readme-ov-file#semver
+            # Event: push,     Ref: refs/head/main,       Tags: main
+            # Event: push tag, Ref: refs/tags/v1.2.3,     Tags: 1.2.3, 1.2, 1, latest
+            # Event: push tag, Ref: refs/tags/v2.0.8-rc1, Tags: 2.0.8-rc1
+            type=ref,event=branch
             type=semver,pattern={{version}}
             type=semver,pattern={{major}}.{{minor}}
-            type=sha,format=long
+            type=semver,pattern={{major}}
           labels: |
             org.opencontainers.image.description=OpenAI API Compatible Server
             org.opencontainers.image.source=${{ github.event.repository.html_url }}
 
-      - name: Build and push Docker image
-        uses: docker/build-push-action@v5
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Build and push
+        uses: docker/build-push-action@v6
         with:
+          file: Dockerfile
           context: .
+          platforms: linux/amd64,linux/arm64
           push: ${{ github.event_name != 'pull_request' }}
+          load: false
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
+          cache-from: type=gha,scope=${{ github.workflow }}
+          cache-to: type=gha,scope=${{ github.workflow }}

.github/workflows/release.yml

@@ -6,9 +6,10 @@ on:
       - 'v*' # 当推送以 "v" 开头的标签时触发（如 v1.0.0, v2.1.0）
 
 jobs:
-  release:
+  update-release-draft:
     permissions:
-      contents: write    # 添加写入权限
+      contents: write
+      pull-requests: write
     runs-on: ubuntu-latest
     steps:
       # Step 1: 检出代码库

Dockerfile

@@ -3,15 +3,17 @@ FROM python:3.10-slim
 WORKDIR /app
 
 # 复制所需文件到容器中
-COPY ./app /app/app
 COPY ./requirements.txt /app
+COPY ./VERSION /app
 
 RUN pip install --no-cache-dir -r requirements.txt
+COPY ./app /app/app
 ENV API_KEYS='["your_api_key_1"]'
 ENV ALLOWED_TOKENS='["your_token_1"]'
 ENV BASE_URL=https://generativelanguage.googleapis.com/v1beta
-ENV TOOLS_CODE_EXECUTION_ENABLED=true
-ENV MODEL_SEARCH='["gemini-2.0-flash-exp"]'
+ENV TOOLS_CODE_EXECUTION_ENABLED=false
+ENV IMAGE_MODELS='["gemini-2.0-flash-exp"]'
+ENV SEARCH_MODELS='["gemini-2.0-flash-exp","gemini-2.0-pro-exp"]'
 
 # Expose port
 EXPOSE 8000

LICENSE

@@ -0,0 +1,17 @@
+知识共享署名-非商业性使用 4.0 国际 (CC BY-NC 4.0) 协议
+
+您可以自由地：
+- 共享 — 在任何媒介以任何形式复制、发行本作品
+- 演绎 — 修改、转换或以本作品为基础进行创作
+
+惟须遵守下列条件：
+- 署名 — 您必须给出适当的署名，提供指向本协议的链接，并指明是否（对原作）作了修改。您可以以任何合理方式进行，但不得以任何方式暗示许可方认可您或您的使用。
+- 非商业性使用 — 您不得将本作品用于商业目的，包括但不限于任何形式的商业倒卖、SaaS、API 付费接口、二次销售、打包出售、收费分发或其他直接或间接盈利行为。
+
+如需商业授权，请联系原作者获得书面许可。违者将承担相应法律责任。
+
+Creative Commons Attribution-NonCommercial 4.0 International Public License
+
+By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
+
+Full license text: https://creativecommons.org/licenses/by-nc/4.0/legalcode

README.md

@@ -1,144 +1,78 @@
-# 🚀 FastAPI OpenAI (Gemini) 代理服务
+# Gemini Balance - Gemini API 代理和负载均衡器
 
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+> ⚠️ 本项目采用 CC BY-NC 4.0（署名-非商业性使用）协议，禁止任何形式的商业倒卖服务，详见 LICENSE 文件。
 
-## 📝 项目简介
+> 本人从未在各个平台售卖服务，如有遇到售卖此服务者，那一定是倒卖狗，大家切记不要上当受骗。
 
-本项目是一个基于 FastAPI 框架开发的高性能、易于部署的Gemini OpenAI兼容 和 Gemini API 代理服务。它不仅兼容 OpenAI 的 API 接口，还支持 Google 的 Gemini 原生接口。该代理服务内置了多 API Key 轮询、负载均衡、自动重试、访问控制（Bearer Token 认证）、流式响应等功能，旨在简化 AI 应用的开发和部署流程。
+[![Python](https://img.shields.io/badge/Python-3.9%2B-blue.svg)](https://www.python.org/)
+[![FastAPI](https://img.shields.io/badge/FastAPI-0.100%2B-green.svg)](https://fastapi.tiangolo.com/)
+[![Uvicorn](https://img.shields.io/badge/Uvicorn-running-purple.svg)](https://www.uvicorn.org/)
 
-**核心功能与优势:**
+## 项目简介
 
-- **多协议支持**: 无缝切换 OpenAI兼容 和 Gemini 协议。
-- **智能 API Key 管理**: 自动轮询多个 API Key，实现负载均衡和故障转移。
-- **安全访问控制**: 使用 Bearer Token 进行身份验证，保护 API 访问。
-- **流式响应支持**: 提供实时的流式数据传输，提升用户体验。
-- **内置工具支持**: 支持代码执行和 Google 搜索等工具, 丰富模型功能 (可选)。
-- **灵活配置**: 通过环境变量或 `.env` 文件轻松配置。
-- **易于部署**: 提供 Docker 一键部署，也支持手动部署。
-- **健康检查**: 提供健康检查接口，方便监控服务状态。
-- **图片生成支持**: 支持使用OpenAI的DALL-E模型生成图片
+Gemini Balance 是一个基于 Python FastAPI 构建的应用程序，旨在提供 Google Gemini API 的代理和负载均衡功能。它允许您管理多个 Gemini API Key，并通过简单的配置实现 Key 的轮询、认证、模型过滤和状态监控。此外，项目还集成了图像生成和多种图床上传功能，并支持 OpenAI API 格式的代理。
 
-## 🛠️ 技术栈
+**项目结构:**
 
-- **FastAPI**: 高性能 Web 框架。
-- **Python 3.9+**: 编程语言。
-- **Pydantic**: 数据验证和设置管理。
-- **httpx**: 异步 HTTP 客户端。
-- **uvicorn**: ASGI 服务器。
-- **Docker**: 容器化部署 (可选)。
+```plaintext
+app/
+├── config/       # 配置管理
+├── core/         # 核心应用逻辑 (FastAPI 实例创建, 中间件等)
+├── database/     # 数据库模型和连接
+├── domain/       # 业务领域对象 (可选)
+├── exception/    # 自定义异常
+├── handler/      # 请求处理器 (可选, 或在 router 中处理)
+├── log/          # 日志配置
+├── main.py       # 应用入口
+├── middleware/   # FastAPI 中间件
+├── router/       # API 路由 (Gemini, OpenAI, 状态页等)
+├── scheduler/    # 定时任务 (如 Key 状态检查)
+├── service/      # 业务逻辑服务 (聊天, Key 管理, 统计等)
+├── static/       # 静态文件 (CSS, JS)
+├── templates/    # HTML 模板 (如 Key 状态页)
+├── utils/        # 工具函数
+```
+
+## ✨ 功能亮点
+
+* **多 Key 负载均衡**: 支持配置多个 Gemini API Key (`API_KEYS`)，自动按顺序轮询使用，提高可用性和并发能力。
+* **可视化配置即时生效**: 通过管理后台修改配置后，无需重启服务即可生效，切记要点击保存才会生效。
+![配置面板](files/image4.png)
+* **双协议API 兼容**: 同时支持 Gemini 和 OpenAI 格式的 CHAT API 请求转发。
+
+    ```palintext
+    openai baseurl `http://localhost:8000(/hf)/v1`
+    gemini baseurl `http://localhost:8000(/gemini)/v1beta`
+    ```
+
+* **支持图文对话和修改图片**: `IMAGE_MODELS`配置哪个模型可以图文对话和修图的功能，实际调用的时候，用 `配置模型-image`这个模型名对话使用该功能。
+![对话生图](files/image6.png)
+![修改图片](files/image7.png)
+* **支持联网搜索**: 支持联网搜索，`SEARCH_MODELS`配置哪些模型可以联网搜索，实际调用的时候，用 `配置模型-search`这个模型名对话使用该功能
+![联网搜索](files/image8.png)
+* **Key 状态监控**: 提供 `/keys_status` 页面（需要认证），实时查看各 Key 的状态和使用情况。
+![监控面板](files/image.png)
+* **详细的日志记录**: 提供详细的错误日志，方便排查。
+![调用详情](files/image1.png)
+![日志列表](files/image2.png)
+![日志详情](files/image3.png)
+* **支持自定义gemini代理**: 支持自定义gemini代理，比如自行在deno或者cloudflare上搭建gemini代理
+* **openai画图接口兼容**: 将`imagen-3.0-generate-002`模型接口改造成openai画图接口，支持客户端调用。
+* **灵活的添加密钥方式**: 灵活的添加密钥方式，采用正则匹配`gemini_key`,密钥去重
+![添加密钥](files/image5.png)
+* **兼容openai格式embeddings接口**：完美适配openai格式的`embeddings`接口，可用于本地文档向量化。
+* **流式响应优化**: 可选的流式输出优化器 (`STREAM_OPTIMIZER_ENABLED`)，改善长文本流式响应的体验。
+* **失败重试与 Key 管理**: 自动处理 API 请求失败，进行重试 (`MAX_RETRIES`)，并在 Key 失效次数过多时自动禁用 (`MAX_FAILURES`)，定时检查恢复 (`CHECK_INTERVAL_HOURS`)。
+* **Docker 支持**: 支持AMD，ARM架构的docker部署，也可自行构建docker镜像。
+    >镜像地址: docker pull ghcr.io/snailyp/gemini-balance:latest
+* **模型列表自动维护**: 支持openai和gemini模型列表获取，与newapi自动获取模型列表完美兼容，无需手动填写。
+* **支持移除不使用的模型**: 默认提供的模型太多，很多用不上，可以通过`FILTERED_MODELS`过滤掉。
 
 ## 🚀 快速开始
 
-### 环境要求
+### 自行构建 Docker (推荐)
 
-- Python 3.9 或更高版本
-- Docker (可选，推荐用于生产环境)
-
-### 📦 安装与配置
-
-1. **克隆项目**:
-
-    ```bash
-    git clone https://github.com/snailyp/gemini-balance.git
-    cd gemini-balance
-    ```
-
-2. **安装依赖**:
-
-    ```bash
-    pip install -r requirements.txt
-    ```
-
-3. **配置**:
-
-    创建 `.env` 文件，并按以下分类配置环境变量：
-
-    ```env
-    # 基础配置
-    BASE_URL="https://generativelanguage.googleapis.com/v1beta"  # Gemini API 基础 URL，默认无需修改
-    MAX_FAILURES=3  # 允许单个key失败的次数，默认3次
-
-    # 认证与安全配置
-    API_KEYS=["your-gemini-api-key-1", "your-gemini-api-key-2"]  # Gemini API 密钥列表，用于负载均衡
-    ALLOWED_TOKENS=["your-access-token-1", "your-access-token-2"]  # 允许访问的 Token 列表
-    AUTH_TOKEN=""  # 超级管理员token，具有所有权限，默认使用 ALLOWED_TOKENS 的第一个
-
-    # 模型功能配置
-    MODEL_SEARCH=["gemini-2.0-flash-exp"]  # 支持搜索功能的模型列表
-    TOOLS_CODE_EXECUTION_ENABLED=false  # 是否启用代码执行工具，默认false
-    SHOW_SEARCH_LINK=true  # 是否在响应中显示搜索结果链接，默认true
-    SHOW_THINKING_PROCESS=true  # 是否显示模型思考过程，默认true
-
-    # 图片生成配置
-    PAID_KEY="your-paid-api-key"  # 付费版API Key，用于图片生成等高级功能
-    CREATE_IMAGE_MODEL="imagen-3.0-generate-002"  # 图片生成模型，默认使用imagen-3.0
-    
-    # 图片上传配置
-    UPLOAD_PROVIDER="smms"  # 图片上传提供商，目前支持smms
-    SMMS_SECRET_TOKEN="your-smms-token"  # SM.MS图床的API Token
-    ```
-
-   ### 配置说明
-
-   #### 基础配置
-
-    - `BASE_URL`: Gemini API 的基础 URL
-      - 默认值: `https://generativelanguage.googleapis.com/v1beta`
-      - 说明: 通常无需修改，除非 API 地址发生变化
-    - `MAX_FAILURES`: API Key 允许的最大失败次数
-      - 默认值: `3`
-      - 说明: 超过此次数后，Key 将被暂时标记为无效
-
-   #### 认证与安全配置
-
-    - `API_KEYS`: Gemini API 密钥列表
-      - 格式: JSON 数组字符串
-      - 用途: 支持多个 Key 轮询，实现负载均衡
-      - 建议: 至少配置 2 个 Key 以保证服务可用性
-    - `ALLOWED_TOKENS`: 访问令牌列表
-      - 格式: JSON 数组字符串
-      - 用途: 用于客户端认证
-      - 安全提示: 请使用足够复杂的令牌
-    - `AUTH_TOKEN`: 超级管理员令牌
-      - 可选配置，留空则使用 ALLOWED_TOKENS 的第一个
-      - 具有查看 API Key 状态等特权操作权限
-
-   #### 模型功能配置
-
-    - `MODEL_SEARCH`: 搜索功能支持的模型
-      - 默认值: `["gemini-2.0-flash-exp"]`
-      - 说明: 仅列表中的模型可使用搜索功能
-    - `TOOLS_CODE_EXECUTION_ENABLED`: 代码执行功能
-      - 默认值: `false`
-      - 安全提示: 生产环境建议禁用
-    - `SHOW_SEARCH_LINK`: 搜索结果链接显示
-      - 默认值: `true`
-      - 用途: 控制搜索结果中是否包含原始链接
-    - `SHOW_THINKING_PROCESS`: 思考过程显示
-      - 默认值: `true`
-      - 用途: 显示模型的推理过程，便于调试
-
-   #### 图片生成配置
-
-    - `PAID_KEY`: 付费版 API Key
-      - 用途: 用于图片生成等高级功能
-      - 说明: 需要单独申请的付费版 Key
-    - `CREATE_IMAGE_MODEL`: 图片生成模型
-      - 默认值: `imagen-3.0-generate-002`
-      - 说明: 当前支持的最新图片生成模型
-
-   #### 图片上传配置
-
-    - `UPLOAD_PROVIDER`: 图片上传服务提供商
-      - 默认值: `smms`
-      - 说明: 目前支持 SM.MS 图床
-    - `SMMS_SECRET_TOKEN`: SM.MS API Token
-      - 用途: 用于图片上传到 SM.MS 图床
-      - 获取方式: 需要在 SM.MS 官网注册并获取
-
-### ▶️ 运行
-
-#### 使用 Docker (推荐)
+#### a) dockerfile构建
 
 1. **构建镜像**:
 
@@ -152,265 +86,150 @@
     docker run -d -p 8000:8000 --env-file .env gemini-balance
     ```
 
-    - `-d`: 后台运行。
-    - `-p 8000:8000`: 将容器的 8000 端口映射到主机的 8000 端口。
-    - `--env-file .env`: 使用 `.env` 文件设置环境变量。
+    * `-d`: 后台运行。
+    * `-p 8000:8000`: 将容器的 8000 端口映射到主机的 8000 端口。
+    * `--env-file .env`: 使用 `.env` 文件设置环境变量。
 
-#### 手动运行
+#### b) 用现有的docker镜像部署
 
-```bash
-uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
-```
+1. **拉取镜像**:
 
-- `--reload`: 开启热重载，方便开发调试 (生产环境不建议开启)。
+   ```bash
+   docker pull ghcr.io/snailyp/gemini-balance:latest
+   ```
 
-## 🔌 API 接口
+2. **运行容器**:
 
-### 认证
+   ```bash
+   docker run -d -p 8000:8000 --env-file .env ghcr.io/snailyp/gemini-balance:latest
+   ```
 
-所有 API 请求都需要在 Header 中添加 `Authorization` 字段，值为 `Bearer <your-token>`，其中 `<your-token>` 需要替换为你在 `.env` 文件中配置的 `ALLOWED_TOKENS` 中的一个或者 `AUTH_TOKEN`。
+   * `-d`: 后台运行。
+   * `-p 8000:8000`: 将容器的 8000 端口映射到主机的 8000 端口 (根据需要调整)。
+   * `--env-file .env`: 使用 `.env` 文件设置环境变量 (确保 `.env` 文件存在于执行命令的目录)。
 
-### API 路由
+### 本地运行 (适用于开发和测试)
 
-本服务提供两种API路由：
+如果您想在本地直接运行源代码进行开发或测试，请按照以下步骤操作：
 
-1. **OpenAI 兼容路由** (推荐)
-   - 基础路径: `/v1`
-   - 完全兼容OpenAI API格式
-   - 支持所有Gemini模型
+1. **确保已完成准备工作**:
+    * 克隆仓库到本地。
+    * 安装 Python 3.9 或更高版本。
+    * 在项目根目录下创建并配置好 `.env` 文件 (参考前面的“配置环境变量”部分)。
+    * 安装项目依赖：
 
-2. **Gemini 原生路由**
-   - 基础路径: `/gemini/v1beta` 或 `/v1beta`
-   - 遵循Google原生API格式
-   - 适用于需要直接使用Gemini API的场景
+        ```bash
+        pip install -r requirements.txt
+        ```
 
-### OpenAI兼容路由
+2. **启动应用**:
+    在项目根目录下运行以下命令：
 
-#### 获取模型列表
-
-- **URL**: `/v1/models`
-- **Method**: `GET`
-- **Header**: `Authorization: Bearer <your-token>`
-- **Response**: 返回支持的所有模型列表，包括最新的`gemini-2.0-flash-exp-search`等模型
-
-#### 聊天补全 (Chat Completions)
-
-- **URL**: `/v1/chat/completions`
-- **Method**: `POST`
-- **Header**: `Authorization: Bearer <your-token>`
-- **Body** (JSON):
-
-    ```json
-    {
-        "messages": [
-            {
-                "role": "user",
-                "content": "你好"
-            }
-        ],
-        "model": "gemini-1.5-flash-002",
-        "temperature": 0.7,
-        "stream": false,
-        "tools": [],
-        "max_tokens": 8192,
-        "stop": [],
-        "top_p": 0.9,
-        "top_k": 40
-    }
+    ```bash
+    uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
     ```
 
-  - `messages`: 消息列表，格式与 OpenAI API 相同
-  - `model`: 模型名称，支持所有Gemini模型，包括:
-    - `gemini-1.5-flash-002`: 快速响应模型
-    - `gemini-2.0-flash-exp`: 实验性快速响应模型
-    - `gemini-2.0-flash-exp-search`: 支持搜索功能的实验性模型
-  - `stream`: 是否开启流式响应，`true` 或 `false`
-  - `tools`: 使用的工具列表
-  - 其他参数：与 OpenAI API 兼容的参数，如 `temperature`, `max_tokens` 等
+    * `app.main:app`: 指定 FastAPI 应用实例的位置 (`app` 模块中的 `main.py` 文件里的 `app` 对象)。
+    * `--host 0.0.0.0`: 使应用可以从本地网络中的任何 IP 地址访问。
+    * `--port 8000`: 指定应用监听的端口号 (您可以根据需要修改)。
+    * `--reload`: 启用自动重载功能。当您修改代码时，服务会自动重启，非常适合开发环境 (生产环境请移除此选项)。
 
-### Gemini原生路由
+3. **访问应用**:
+    应用启动后，您可以通过浏览器或 API 工具访问 `http://localhost:8000` (或您指定的主机和端口)。
 
-#### 获取模型列表
+### 完整配置项列表
 
-- **URL**: `/gemini/v1beta/models` 或 `/v1beta/models`
-- **Method**: `GET`
-- **Header**: `Authorization: Bearer <your-token>`
+| 配置项                       | 说明                                                     | 默认值                             |
+| :--------------------------- | :------------------------------------------------------- | :---------------------------------------------------- |
+| **数据库配置**               |                                                          |                                                       |
+| `MYSQL_HOST`                 | 必填，MySQL 数据库主机地址                               | `localhost`                                           |
+| `MYSQL_PORT`                 | 必填，MySQL 数据库端口                                   | `3306`                                                |
+| `MYSQL_USER`                 | 必填，MySQL 数据库用户名                                 | `your_db_user`                                        |
+| `MYSQL_PASSWORD`             | 必填，MySQL 数据库密码                                   | `your_db_password`                                    |
+| `MYSQL_DATABASE`             | 必填，MySQL 数据库名称                                   | `defaultdb`                                   |
+| **API 相关配置**             |                                                          |                                                       |
+| `API_KEYS`                   | 必填，Gemini API 密钥列表，用于负载均衡                        | `["your-gemini-api-key-1", "your-gemini-api-key-2"]`  |
+| `ALLOWED_TOKENS`             | 必填，允许访问的 Token 列表                                    | `["your-access-token-1", "your-access-token-2"]`      |
+| `AUTH_TOKEN`                 | 可选，超级管理员token，具有所有权限，不填默认使用 ALLOWED_TOKENS 的第一个 | `""`                                                  |
+| `TEST_MODEL`                 | 可选，用于测试密钥是否可用的模型名                             | `gemini-1.5-flash`                                    |
+| `IMAGE_MODELS`               | 可选，支持绘图功能的模型列表                                   | `["gemini-2.0-flash-exp"]`                            |
+| `SEARCH_MODELS`              | 可选，支持搜索功能的模型列表                                   | `["gemini-2.0-flash-exp"]`                            |
+| `FILTERED_MODELS`            | 可选，被禁用的模型列表                                         | `["gemini-1.0-pro-vision-latest", ...]`               |
+| `TOOLS_CODE_EXECUTION_ENABLED` | 可选，是否启用代码执行工具                                     | `false`                                               |
+| `SHOW_SEARCH_LINK`           | 可选，是否在响应中显示搜索结果链接                             | `true`                                                |
+| `SHOW_THINKING_PROCESS`      | 可选，是否显示模型思考过程                                     | `true`                                                |
+| `THINKING_MODELS`            | 可选，支持思考功能的模型列表                                   | `[]`                                                  |
+| `THINKING_BUDGET_MAP`        | 可选，思考功能预算映射 (模型名:预算值)                         | `{}`                                                  |
+| `BASE_URL`                   | 可选，Gemini API 基础 URL，默认无需修改                        | `https://generativelanguage.googleapis.com/v1beta`    |
+| `MAX_FAILURES`               | 可选，允许单个key失败的次数                                    | `3`                                                   |
+| `MAX_RETRIES`                | 可选，API 请求失败时的最大重试次数                             | `3`                                                   |
+| `CHECK_INTERVAL_HOURS`       | 可选，检查禁用 Key 是否恢复的时间间隔 (小时)                   | `1`                                                   |
+| `TIMEZONE`                   | 可选，应用程序使用的时区                                       | `Asia/Shanghai`                                       |
+| `TIME_OUT`                   | 可选，请求超时时间 (秒)                                        | `300`                                                 |
+| `LOG_LEVEL`                  | 可选，日志级别，例如 DEBUG, INFO, WARNING, ERROR, CRITICAL     | `INFO`                                                |
+| **图像生成相关**             |                                                          |                                                       |
+| `PAID_KEY`                   | 可选，付费版API Key，用于图片生成等高级功能                    | `your-paid-api-key`                                   |
+| `CREATE_IMAGE_MODEL`         | 可选，图片生成模型                                             | `imagen-3.0-generate-002`                             |
+| `UPLOAD_PROVIDER`            | 可选，图片上传提供商: `smms`, `picgo`, `cloudflare_imgbed`     | `smms`                                                |
+| `SMMS_SECRET_TOKEN`          | 可选，SM.MS图床的API Token                                     | `your-smms-token`                                     |
+| `PICGO_API_KEY`              | 可选，[PicoGo](https://www.picgo.net/)图床的API Key                                      | `your-picogo-apikey`                                  |
+| `CLOUDFLARE_IMGBED_URL`      | 可选，[CloudFlare](https://github.com/MarSeventh/CloudFlare-ImgBed) 图床上传地址                                  | `https://xxxxxxx.pages.dev/upload`                    |
+| `CLOUDFLARE_IMGBED_AUTH_CODE`| 可选，CloudFlare图床的鉴权key                                  | `your-cloudflare-imgber-auth-code`                    |
+| **流式优化器相关**           |                                                          |                                                       |
+| `STREAM_OPTIMIZER_ENABLED`   | 可选，是否启用流式输出优化                                     | `false`                                               |
+| `STREAM_MIN_DELAY`           | 可选，流式输出最小延迟                                         | `0.016`                                               |
+| `STREAM_MAX_DELAY`           | 可选，流式输出最大延迟                                         | `0.024`                                               |
+| `STREAM_SHORT_TEXT_THRESHOLD`| 可选，短文本阈值                                               | `10`                                                  |
+| `STREAM_LONG_TEXT_THRESHOLD` | 可选，长文本阈值                                               | `50`                                                  |
+| `STREAM_CHUNK_SIZE`          | 可选，流式输出块大小                                           | `5`                                                   |
 
-#### 生成内容
+## ⚙️ API 端点
 
-- **URL**: `/gemini/v1beta/models/{model_name}:generateContent`
-- **Method**: `POST`
-- **Header**: `Authorization: Bearer <your-token>`
+以下是服务提供的主要 API 端点：
 
-#### 流式生成内容
+### Gemini API 相关 (`(/gemini)/v1beta`)
 
-- **URL**: `/gemini/v1beta/models/{model_name}:streamGenerateContent`
-- **Method**: `POST`
-- **Header**: `Authorization: Bearer <your-token>`
+* `GET /models`: 列出可用的 Gemini 模型。
+* `POST /models/{model_name}:generateContent`: 使用指定的 Gemini 模型生成内容。
+* `POST /models/{model_name}:streamGenerateContent`: 使用指定的 Gemini 模型流式生成内容。
 
-### 获取词向量 (Embeddings)
+### OpenAI API 相关 (`(/hf)/v1`)
 
-- **URL**: `/v1/embeddings`
-- **Method**: `POST`
-- **Header**: `Authorization: Bearer <your-token>`
-- **Body** (JSON):
-
-    ```json
-    {
-        "input": "你的文本",
-        "model": "text-embedding-004"
-    }
-    ```
-
-  - `input`: 输入文本。
-  - `model`: 模型名称。
-
-### 健康检查
-
-- **URL**: `/health`
-- **Method**: `GET`
-
-### Web界面功能
-
-#### 验证页面
-
-- **URL**: `/auth`
-- **说明**: 提供了一个简洁的Web界面用于验证访问令牌
-- **功能**:
-  - 美观的用户界面，支持响应式设计
-  - 安全的令牌验证机制
-  - 错误提示功能
-  - 支持移动端访问
-
-#### API密钥状态管理
-
-- **URL**: `/v1/keys/list`
-- **Method**: `GET`
-- **Header**: `Authorization: Bearer <your-auth-token>`
-- **说明**:
-  - 只有使用 `AUTH_TOKEN` 才能访问此接口
-  - 提供了可视化的Web界面展示API密钥状态
-  - 支持查看有效和无效的API密钥列表
-  - 显示每个密钥的失败次数统计
-  - 提供一键复制功能（支持复制单个密钥或批量复制）
-  - 实时显示密钥总数统计
-
-### 图片生成 (Image Generation)
-
-- **URL**: `/v1/images/generations`
-- **Method**: `POST`
-- **Header**: `Authorization: Bearer <your-auth-token>`
-- **说明**: Body示例和参数说明
-
-    ```json
-    {
-    "model": "dall-e-3",
-    "prompt": "{n:2} {ratio:16:9} 汉服美女",
-    "n": 1,
-    "size": "1024x1024"
-    }
-    ```
-
-    **Prompt参数说明:**
-
-    prompt支持通过特殊标记来控制生成参数：
-
-    1. 图片数量控制:
-       - 格式: `{n:数量}`
-       - 示例: `{n:2} 一只可爱的猫` - 生成2张图片
-       - 取值范围: 1-4
-       - 说明: 如果在prompt中指定了n，将覆盖请求body中的n参数
-
-    2. 图片比例控制:
-       - 格式: `{ratio:宽:高}`
-       - 示例: `{ratio:16:9} 一片森林` - 生成16:9比例的图片
-       - 支持的比例: "1:1"、"3:4"、"4:3"、"9:16"、"16:9"
-       - 说明: 如果指定了size参数，将优先使用size对应的比例
-
-    3. 参数组合:
-       - 示例: `{n:2} {ratio:16:9} 一片美丽的森林` - 生成2张16:9比例的图片
-       - 说明: 这些参数标记会自动从prompt中移除，不会影响实际的图片生成提示词
-
-    > 注意：n的取值范围[1,4], ratio取值范围"1:1"、"3:4"、"4:3"、"9:16" 和 "16:9"
-
-## 📚 代码结构
-
-```plaintext
-.
-├── app/
-│   ├── api/                # API 路由
-│   │   ├── gemini_routes.py   # Gemini 模型路由
-│   │   └── openai_routes.py   # OpenAI 兼容路由
-│   ├── core/               # 核心组件
-│   │   ├── config.py         # 配置管理
-│   │   ├── logger.py         # 日志配置
-│   │   └── security.py       # 安全认证
-│   ├── middleware/         # 中间件
-│   │   └── request_logging_middleware.py  # 请求日志中间件
-│   ├── schemas/            # 数据模型
-│   │   ├── gemini_models.py  # Gemini 原始请求/响应模型
-│   │   └── openai_models.py  # OpenAI 兼容请求/响应模型
-│   ├── services/           # 服务层
-│   │   ├── chat/           # 聊天相关服务
-│   │   │   ├── api_client.py # API 客户端
-│   │   │   ├── message_converter.py # 消息转换器
-│   │   │   ├── response_handler.py # 响应处理器
-│   │   │   └── retry_handler.py #重试处理器
-│   │   ├── gemini_chat_service.py   # Gemini 原始聊天服务
-│   │   ├── openai_chat_service.py   # OpenAI 兼容聊天服务
-│   │   ├── embedding_service.py # 向量服务
-│   │   ├── key_manager.py    # API Key 管理
-│   │   └── model_service.py  # 模型服务
-│   └── main.py              # 主程序入口
-├── Dockerfile              # Dockerfile
-├── requirements.txt       # 项目依赖
-└── README.md               # 项目说明
-```
-
-## 🔒 安全性
-
-- **API Key 轮询**: 自动轮换 API Key，提高可用性和负载均衡。
-- **Bearer Token 认证**: 保护 API 端点，防止未经授权的访问。
-- **请求日志记录**: 记录详细的请求信息，便于调试和审计 (可选，通过取消 `app.add_middleware(RequestLoggingMiddleware)` 的注释来启用)。
-- **自动重试**: 在 API 请求失败时自动重试，提高服务的稳定性。
+* `GET /v1/models`: 列出可用的 OpenAI 模型。
+* `POST /v1/chat/completions`: 通过 OpenAI API 进行聊天补全。
+* `POST /v1/images/generations`: 通过 OpenAI API 生成图像。
+* `POST /v1/embeddings`: 通过 OpenAI API 创建文本嵌入。
 
 ## 🤝 贡献
 
-欢迎任何形式的贡献！如果你发现 bug、有新功能建议或者想改进代码，请随时提交 Issue 或 Pull Request。
+欢迎提交 Pull Request 或 Issue。
 
-1. Fork 本项目。
-2. 创建你的特性分支 (`git checkout -b feature/AmazingFeature`)。
-3. 提交你的改动 (`git commit -m 'Add some AmazingFeature'`)。
-4. 推送到你的分支 (`git push origin feature/AmazingFeature`)。
-5. 创建一个新的 Pull Request。
+## 🎉 特别鸣谢
 
-## ❓ 常见问题解答 (FAQ)
+特别鸣谢以下项目和平台为本项目提供图床服务:
 
-**Q: 如何获取 Gemini API Key？**
+* [PicGo](https://www.picgo.net/)
+* [SM.MS](https://smms.app/)
+* [CloudFlare-ImgBed](https://github.com/MarSeventh/CloudFlare-ImgBed) 开源项目
 
-A: 请参考 Gemini API 的官方文档，申请 API Key。
+## 🙏 感谢贡献者
 
-**Q: 如何配置多个 API Key？**
+感谢所有为本项目做出贡献的开发者！
 
-A: 在 `.env` 文件的 `API_KEYS` 变量中，用列表的形式添加多个 Key，例如：`API_KEYS=["key1", "key2", "key3"]`。
+[![Contributors](https://contrib.rocks/image?repo=snailyp/gemini-balance)](https://github.com/snailyp/gemini-balance/graphs/contributors)
 
-**Q: 为什么我的 API Key 总是失败？**
+## ⭐ Star History
 
-A: 请检查以下几点：
+[![Star History Chart](https://api.star-history.com/svg?repos=snailyp/gemini-balance&type=Date)](https://star-history.com/#snailyp/gemini-balance&Date)
 
-- API Key 是否正确。
-- API Key 是否已过期或被禁用。
-- 是否超出了 API Key 的速率限制或配额。
-- 网络连接是否正常。
+## 💖 友情项目
 
-**Q: 如何启用流式响应？**
+* **[OneLine](https://github.com/chengtx809/OneLine)** by [chengtx809](https://github.com/chengtx809) - OneLine一线：AI驱动的热点事件时间轴生成工具
 
-A: 在请求的 Body 中，将 `stream` 参数设置为 `true` 即可。
+## 🎁 项目支持
 
-**Q: 如何启用代码执行工具？**
+如果你觉得这个项目对你有帮助，可以考虑通过 [爱发电](https://afdian.com/a/snaily) 支持我。
 
-A: 在 `.env` 文件的 `TOOLS_CODE_EXECUTION_ENABLED` 变量中, 设置为 `true` 即可。
+## 许可证
 
-## 📄 许可证
-
-本项目采用 MIT 许可证。有关详细信息，请参阅 [LICENSE](LICENSE) 文件 (你需要创建一个 LICENSE 文件)。
+本项目采用 CC BY-NC 4.0（署名-非商业性使用）协议，禁止任何形式的商业倒卖服务，详见 LICENSE 文件。

VERSION

@@ -0,0 +1 @@
+2.0.10

app/api/gemini_routes.py

@@ -1,104 +0,0 @@
-from fastapi import APIRouter, Depends, HTTPException
-from fastapi.responses import StreamingResponse
-
-from app.core.config import settings
-from app.core.logger import get_gemini_logger
-from app.core.security import SecurityService
-from app.schemas.gemini_models import GeminiRequest
-from app.services.gemini_chat_service import GeminiChatService
-from app.services.key_manager import KeyManager, get_key_manager_instance
-from app.services.model_service import ModelService
-from app.services.chat.retry_handler import RetryHandler
-
-router = APIRouter(prefix="/gemini/v1beta")
-router_v1beta = APIRouter(prefix="/v1beta")
-logger = get_gemini_logger()
-
-# 初始化服务
-security_service = SecurityService(settings.ALLOWED_TOKENS, settings.AUTH_TOKEN)
-
-async def get_key_manager():
-    return await get_key_manager_instance()
-
-async def get_next_working_key_wrapper(key_manager: KeyManager = Depends(get_key_manager)):
-    return await key_manager.get_next_working_key()
-
-model_service = ModelService(settings.MODEL_SEARCH)
-
-
-@router.get("/models")
-@router_v1beta.get("/models")
-async def list_models(_=Depends(security_service.verify_key),
-    key_manager: KeyManager = Depends(get_key_manager)):
-    """获取可用的Gemini模型列表"""
-    logger.info("-" * 50 + "list_gemini_models" + "-" * 50)
-    logger.info("Handling Gemini models list request")
-    api_key = await key_manager.get_next_working_key()
-    logger.info(f"Using API key: {api_key}")
-    models_json = model_service.get_gemini_models(api_key)
-    models_json["models"].append({"name": "models/gemini-2.0-flash-exp-search", "version": "2.0",
-                                  "displayName": "Gemini 2.0 Flash Search Experimental",
-                                  "description": "Gemini 2.0 Flash Search Experimental", "inputTokenLimit": 32767,
-                                  "outputTokenLimit": 8192,
-                                  "supportedGenerationMethods": ["generateContent", "countTokens"], "temperature": 1,
-                                  "topP": 0.95, "topK": 64, "maxTemperature": 2})
-    return models_json
-
-
-@router.post("/models/{model_name}:generateContent")
-@router_v1beta.post("/models/{model_name}:generateContent")
-@RetryHandler(max_retries=3, key_manager=Depends(get_key_manager), key_arg="api_key")
-async def generate_content(
-        model_name: str,
-        request: GeminiRequest,
-        _=Depends(security_service.verify_goog_api_key),
-        api_key: str = Depends(get_next_working_key_wrapper),
-        key_manager: KeyManager = Depends(get_key_manager)
-):
-    chat_service = GeminiChatService(settings.BASE_URL, key_manager)
-    """非流式生成内容"""
-    logger.info("-" * 50 + "gemini_generate_content" + "-" * 50)
-    logger.info(f"Handling Gemini content generation request for model: {model_name}")
-    logger.info(f"Request: \n{request.model_dump_json(indent=2)}")
-    logger.info(f"Using API key: {api_key}")
-
-    try:
-        response = chat_service.generate_content(
-            model=model_name,
-            request=request,
-            api_key=api_key
-        )
-        return response
-
-    except Exception as e:
-        logger.error(f"Chat completion failed after retries: {str(e)}")
-        raise HTTPException(status_code=500, detail="Chat completion failed") from e
-
-
-@router.post("/models/{model_name}:streamGenerateContent")
-@router_v1beta.post("/models/{model_name}:streamGenerateContent")
-@RetryHandler(max_retries=3, key_manager=Depends(get_key_manager), key_arg="api_key")
-async def stream_generate_content(
-        model_name: str,
-        request: GeminiRequest,
-        _=Depends(security_service.verify_goog_api_key),
-        api_key: str = Depends(get_next_working_key_wrapper),
-        key_manager: KeyManager = Depends(get_key_manager)
-):
-    chat_service = GeminiChatService(settings.BASE_URL, key_manager)
-    """流式生成内容"""
-    logger.info("-" * 50 + "gemini_stream_generate_content" + "-" * 50)
-    logger.info(f"Handling Gemini streaming content generation for model: {model_name}")
-    logger.info(f"Request: \n{request.model_dump_json(indent=2)}")
-    logger.info(f"Using API key: {api_key}")
-
-    try:
-        response_stream = chat_service.stream_generate_content(
-            model=model_name,
-            request=request,
-            api_key=api_key
-        )
-        return StreamingResponse(response_stream, media_type="text/event-stream")
-
-    except Exception as e:
-        logger.error(f"Streaming request failed: {str(e)}")

app/config/config.py

@@ -0,0 +1,308 @@
+"""
+应用程序配置模块
+"""
+import datetime
+import json
+from typing import List, Any, Dict, Type
+
+from pydantic import ValidationError
+from pydantic_settings import BaseSettings
+from sqlalchemy import insert, update, select
+
+from app.core.constants import API_VERSION, DEFAULT_CREATE_IMAGE_MODEL, DEFAULT_FILTER_MODELS, DEFAULT_MODEL, DEFAULT_STREAM_CHUNK_SIZE, DEFAULT_STREAM_LONG_TEXT_THRESHOLD, DEFAULT_STREAM_MAX_DELAY, DEFAULT_STREAM_MIN_DELAY, DEFAULT_STREAM_SHORT_TEXT_THRESHOLD, DEFAULT_TIMEOUT, MAX_RETRIES
+from app.log.logger import Logger
+
+
+class Settings(BaseSettings):
+    # 数据库配置
+    MYSQL_HOST: str
+    MYSQL_PORT: int
+    MYSQL_USER: str
+    MYSQL_PASSWORD: str
+    MYSQL_DATABASE: str
+    
+    # API相关配置
+    API_KEYS: List[str]
+    ALLOWED_TOKENS: List[str]
+    BASE_URL: str = f"https://generativelanguage.googleapis.com/{API_VERSION}"
+    AUTH_TOKEN: str = ""
+    MAX_FAILURES: int = 3
+    TEST_MODEL: str = DEFAULT_MODEL
+    TIME_OUT: int = DEFAULT_TIMEOUT
+    MAX_RETRIES: int = MAX_RETRIES
+    
+    # 模型相关配置
+    SEARCH_MODELS: List[str] = ["gemini-2.0-flash-exp"]
+    IMAGE_MODELS: List[str] = ["gemini-2.0-flash-exp"]
+    FILTERED_MODELS: List[str] = DEFAULT_FILTER_MODELS
+    TOOLS_CODE_EXECUTION_ENABLED: bool = False
+    SHOW_SEARCH_LINK: bool = True
+    SHOW_THINKING_PROCESS: bool = True
+    THINKING_MODELS: List[str] = [] # 新增：用于思考过程的模型列表
+    THINKING_BUDGET_MAP: Dict[str, float] = {} # 新增：模型对应的预算映射
+    
+    # 图像生成相关配置
+    PAID_KEY: str = ""
+    CREATE_IMAGE_MODEL: str = DEFAULT_CREATE_IMAGE_MODEL
+    UPLOAD_PROVIDER: str = "smms"
+    SMMS_SECRET_TOKEN: str = ""
+    PICGO_API_KEY: str = ""
+    CLOUDFLARE_IMGBED_URL: str = ""
+    CLOUDFLARE_IMGBED_AUTH_CODE: str = ""
+    
+    # 流式输出优化器配置
+    STREAM_OPTIMIZER_ENABLED: bool = False
+    STREAM_MIN_DELAY: float = DEFAULT_STREAM_MIN_DELAY
+    STREAM_MAX_DELAY: float = DEFAULT_STREAM_MAX_DELAY
+    STREAM_SHORT_TEXT_THRESHOLD: int = DEFAULT_STREAM_SHORT_TEXT_THRESHOLD
+    STREAM_LONG_TEXT_THRESHOLD: int = DEFAULT_STREAM_LONG_TEXT_THRESHOLD
+    STREAM_CHUNK_SIZE: int = DEFAULT_STREAM_CHUNK_SIZE
+
+    # 调度器配置
+    CHECK_INTERVAL_HOURS: int = 1 # 默认检查间隔为1小时
+    TIMEZONE: str = "Asia/Shanghai" # 默认时区
+    
+    # github 
+    GITHUB_REPO_OWNER: str = "snailyp"
+    GITHUB_REPO_NAME: str = "gemini-balance"
+
+    # 日志配置
+    LOG_LEVEL: str = "INFO" # 默认日志级别
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        # 设置默认AUTH_TOKEN（如果未提供）
+        if not self.AUTH_TOKEN and self.ALLOWED_TOKENS:
+            self.AUTH_TOKEN = self.ALLOWED_TOKENS[0]
+
+# 创建全局配置实例
+settings = Settings()
+
+def _parse_db_value(key: str, db_value: str, target_type: Type) -> Any:
+    """尝试将数据库字符串值解析为目标 Python 类型"""
+    from app.log.logger import get_config_logger # 函数内导入
+    logger = get_config_logger() # 函数内初始化
+    try:
+        # 处理 List[str]
+        if target_type == List[str]:
+            try:
+                parsed = json.loads(db_value)
+                if isinstance(parsed, list):
+                    return [str(item) for item in parsed]
+            except json.JSONDecodeError:
+                return [item.strip() for item in db_value.split(',') if item.strip()]
+            logger.warning(f"Could not parse '{db_value}' as List[str] for key '{key}', falling back to comma split or empty list.")
+            return [item.strip() for item in db_value.split(',') if item.strip()]
+        # 处理 Dict[str, float]
+        elif target_type == Dict[str, float]:
+            parsed_dict = {}
+            try:
+                # First attempt: standard JSON parsing
+                parsed = json.loads(db_value)
+                if isinstance(parsed, dict):
+                    parsed_dict = {str(k): float(v) for k, v in parsed.items()}
+                else:
+                     logger.warning(f"Parsed DB value for key '{key}' is not a dictionary type. Value: {db_value}")
+            except (json.JSONDecodeError, ValueError, TypeError) as e1:
+                # Second attempt: try replacing single quotes if JSONDecodeError occurred
+                if isinstance(e1, json.JSONDecodeError) and "'" in db_value:
+                    logger.warning(f"Failed initial JSON parse for key '{key}'. Attempting to replace single quotes. Error: {e1}")
+                    try:
+                        corrected_db_value = db_value.replace("'", '"')
+                        parsed = json.loads(corrected_db_value)
+                        if isinstance(parsed, dict):
+                             parsed_dict = {str(k): float(v) for k, v in parsed.items()}
+                        else:
+                            logger.warning(f"Parsed DB value (after quote replacement) for key '{key}' is not a dictionary type. Value: {corrected_db_value}")
+                    except (json.JSONDecodeError, ValueError, TypeError) as e2:
+                         logger.error(f"Could not parse '{db_value}' as Dict[str, float] for key '{key}' even after replacing quotes: {e2}. Returning empty dict.")
+                else:
+                    # Log other errors (ValueError, TypeError) or JSON errors without single quotes
+                    logger.error(f"Could not parse '{db_value}' as Dict[str, float] for key '{key}': {e1}. Returning empty dict.")
+            return parsed_dict # Return the parsed dict or an empty one if all attempts fail
+        # 处理 bool
+        elif target_type == bool:
+            return db_value.lower() in ('true', '1', 'yes', 'on')
+        # 处理 int
+        elif target_type == int:
+            return int(db_value)
+        # 处理 float
+        elif target_type == float:
+            return float(db_value)
+        # 默认为 str 或其他 pydantic 能直接处理的类型
+        else:
+            return db_value
+    except (ValueError, TypeError, json.JSONDecodeError) as e:
+        logger.warning(f"Failed to parse db_value '{db_value}' for key '{key}' as type {target_type}: {e}. Using original string value.")
+        return db_value # 解析失败则返回原始字符串
+
+async def sync_initial_settings():
+    """
+    应用启动时同步配置：
+    1. 从数据库加载设置。
+    2. 将数据库设置合并到内存 settings (数据库优先)。
+    3. 将最终的内存 settings 同步回数据库。
+    """
+    from app.log.logger import get_config_logger # 函数内导入
+    logger = get_config_logger() # 函数内初始化
+    # 延迟导入以避免循环依赖和确保数据库连接已初始化
+    from app.database.connection import database
+    from app.database.models import Settings as SettingsModel
+
+    global settings
+    logger.info("Starting initial settings synchronization...")
+
+    if not database.is_connected:
+        try:
+            await database.connect()
+            logger.info("Database connection established for initial sync.")
+        except Exception as e:
+            logger.error(f"Failed to connect to database for initial settings sync: {e}. Skipping sync.")
+            return
+
+    try:
+        # 1. 从数据库加载设置
+        db_settings_raw: List[Dict[str, Any]] = []
+        try:
+            query = select(SettingsModel.key, SettingsModel.value)
+            results = await database.fetch_all(query)
+            db_settings_raw = [{"key": row["key"], "value": row["value"]} for row in results]
+            logger.info(f"Fetched {len(db_settings_raw)} settings from database.")
+        except Exception as e:
+            logger.error(f"Failed to fetch settings from database: {e}. Proceeding with environment/dotenv settings.")
+            # 即使数据库读取失败，也要继续执行，确保基于 env/dotenv 的配置能同步到数据库
+
+        db_settings_map: Dict[str, str] = {s['key']: s['value'] for s in db_settings_raw}
+
+        # 2. 将数据库设置合并到内存 settings (数据库优先)
+        updated_in_memory = False
+
+        for key, db_value in db_settings_map.items():
+            if hasattr(settings, key):
+                target_type = Settings.__annotations__.get(key)
+                if target_type:
+                    try:
+                        parsed_db_value = _parse_db_value(key, db_value, target_type)
+                        memory_value = getattr(settings, key)
+
+                        # 比较解析后的值和内存中的值
+                        # 注意：对于列表等复杂类型，直接比较可能不够健壮，但这里简化处理
+                        if parsed_db_value != memory_value:
+                            # 检查类型是否匹配，以防解析函数返回了不兼容的类型
+                            type_match = False
+                            if target_type == List[str] and isinstance(parsed_db_value, list):
+                                type_match = True
+                            elif target_type == Dict[str, float] and isinstance(parsed_db_value, dict):
+                                type_match = True
+                            elif target_type not in (List[str], Dict[str, float]) and isinstance(parsed_db_value, target_type):
+                                type_match = True
+
+                            if type_match:
+                                setattr(settings, key, parsed_db_value)
+                                logger.debug(f"Updated setting '{key}' in memory from database value ({target_type}).")
+                                updated_in_memory = True
+                            else:
+                                logger.warning(f"Parsed DB value type mismatch for key '{key}'. Expected {target_type}, got {type(parsed_db_value)}. Skipping update.")
+
+                    except Exception as e:
+                        logger.error(f"Error processing database setting for key '{key}': {e}")
+            else:
+                 logger.warning(f"Database setting '{key}' not found in Settings model definition. Ignoring.")
+
+
+        # 如果内存中有更新，重新验证 Pydantic 模型（可选但推荐）
+        if updated_in_memory:
+            try:
+                # 重新加载以确保类型转换和验证
+                settings = Settings(**settings.model_dump())
+                logger.info("Settings object re-validated after merging database values.")
+            except ValidationError as e:
+                 logger.error(f"Validation error after merging database settings: {e}. Settings might be inconsistent.")
+
+
+        # 3. 将最终的内存 settings 同步回数据库
+        final_memory_settings = settings.model_dump()
+        settings_to_update: List[Dict[str, Any]] = []
+        settings_to_insert: List[Dict[str, Any]] = []
+        now = datetime.datetime.now(datetime.timezone.utc)
+
+        existing_db_keys = set(db_settings_map.keys())
+
+        for key, value in final_memory_settings.items():
+            # 序列化值为字符串或 JSON 字符串
+            if isinstance(value, (list, dict)): # 处理列表和字典
+                db_value = json.dumps(value, ensure_ascii=False) # 使用 ensure_ascii=False 以支持非 ASCII 字符
+            elif isinstance(value, bool):
+                db_value = str(value).lower()
+            elif value is None: # 处理 None 值
+                db_value = "" # 或者根据需要设为 NULL 或其他标记
+            else:
+                db_value = str(value)
+
+            data = {
+                'key': key,
+                'value': db_value,
+                'description': f"{key} configuration setting", # 默认描述
+                'updated_at': now
+            }
+
+            if key in existing_db_keys:
+                # 仅当值与数据库中的不同时才更新
+                if db_settings_map[key] != db_value:
+                    settings_to_update.append(data)
+            else:
+                # 如果键不在数据库中，则插入
+                data['created_at'] = now
+                settings_to_insert.append(data)
+
+        # 在事务中执行批量插入和更新
+        if settings_to_insert or settings_to_update:
+            try:
+                async with database.transaction():
+                    if settings_to_insert:
+                        # 获取现有描述以避免覆盖
+                        query_existing = select(SettingsModel.key, SettingsModel.description).where(SettingsModel.key.in_([s['key'] for s in settings_to_insert]))
+                        existing_desc = {row['key']: row['description'] for row in await database.fetch_all(query_existing)}
+                        for item in settings_to_insert:
+                            item['description'] = existing_desc.get(item['key'], item['description'])
+
+                        query_insert = insert(SettingsModel).values(settings_to_insert)
+                        await database.execute(query=query_insert)
+                        logger.info(f"Synced (inserted) {len(settings_to_insert)} settings to database.")
+
+                    if settings_to_update:
+                        # 获取现有描述以避免覆盖
+                        query_existing = select(SettingsModel.key, SettingsModel.description).where(SettingsModel.key.in_([s['key'] for s in settings_to_update]))
+                        existing_desc = {row['key']: row['description'] for row in await database.fetch_all(query_existing)}
+
+                        for setting_data in settings_to_update:
+                            setting_data['description'] = existing_desc.get(setting_data['key'], setting_data['description'])
+                            query_update = (
+                                update(SettingsModel)
+                                .where(SettingsModel.key == setting_data['key'])
+                                .values(
+                                    value=setting_data['value'],
+                                    description=setting_data['description'],
+                                    updated_at=setting_data['updated_at']
+                                )
+                            )
+                            await database.execute(query=query_update)
+                        logger.info(f"Synced (updated) {len(settings_to_update)} settings to database.")
+            except Exception as e:
+                logger.error(f"Failed to sync settings to database during startup: {str(e)}")
+        else:
+            logger.info("No setting changes detected between memory and database during initial sync.")
+
+        # 刷新日志等级
+        Logger.update_log_levels(final_memory_settings.get("LOG_LEVEL"))
+        
+    except Exception as e:
+        logger.error(f"An unexpected error occurred during initial settings sync: {e}")
+    finally:
+        if database.is_connected:
+             try:
+                 pass
+             except Exception as e:
+                 logger.error(f"Error disconnecting database after initial sync: {e}")
+
+    logger.info("Initial settings synchronization finished.")

app/core/application.py

@@ -0,0 +1,183 @@
+from contextlib import asynccontextmanager
+from pathlib import Path # Add pathlib import
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.templating import Jinja2Templates
+
+from app.config.config import settings, sync_initial_settings
+from app.log.logger import get_application_logger
+from app.middleware.middleware import setup_middlewares
+from app.exception.exceptions import setup_exception_handlers
+from app.router.routes import setup_routers
+from app.service.key.key_manager import get_key_manager_instance
+from app.database.connection import connect_to_db, disconnect_from_db
+from app.database.initialization import initialize_database
+from app.scheduler.key_checker import start_scheduler, stop_scheduler
+from app.service.update.update_service import check_for_updates
+
+logger = get_application_logger()
+
+# Define project paths using pathlib
+# Assuming this file is at app/core/application.py
+PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent
+VERSION_FILE_PATH = PROJECT_ROOT / "VERSION"
+STATIC_DIR = PROJECT_ROOT / "app" / "static"
+TEMPLATES_DIR = PROJECT_ROOT / "app" / "templates"
+
+
+def _get_current_version(default_version: str = "0.0.0") -> str:
+    """Reads the current version from the VERSION file."""
+    version_file = VERSION_FILE_PATH # Use Path object
+    try:
+        # Use Path object's open method
+        with version_file.open('r', encoding='utf-8') as f:
+            version = f.read().strip()
+        if not version:
+            logger.warning(f"VERSION file ('{version_file}') is empty. Using default version '{default_version}'.")
+            return default_version
+        return version
+    except FileNotFoundError:
+        logger.warning(f"VERSION file not found at '{version_file}'. Using default version '{default_version}'.")
+        return default_version
+    except IOError as e:
+        logger.error(f"Error reading VERSION file ('{version_file}'): {e}. Using default version '{default_version}'.")
+        return default_version
+
+# 初始化模板引擎，并添加全局变量
+templates = Jinja2Templates(directory="app/templates")
+
+# 定义一个函数来更新模板全局变量
+def update_template_globals(app: FastAPI, update_info: dict):
+    # Jinja2Templates 实例没有直接更新全局变量的方法
+    # 我们需要在请求上下文中传递这些变量，或者修改 Jinja 环境
+    # 更简单的方法是将其存储在 app.state 中，并在渲染时传递
+    app.state.update_info = update_info
+    logger.info(f"Update info stored in app.state: {update_info}")
+
+
+# --- Helper functions for lifespan ---
+
+async def _setup_database_and_config(app_settings):
+    """Initializes database, syncs settings, and initializes KeyManager."""
+    initialize_database()
+    logger.info("Database initialized successfully")
+    await connect_to_db()
+    await sync_initial_settings()
+    # Initialize KeyManager using potentially updated settings
+    await get_key_manager_instance(app_settings.API_KEYS)
+    logger.info("Database, config sync, and KeyManager initialized successfully")
+
+async def _shutdown_database():
+    """Disconnects from the database."""
+    await disconnect_from_db()
+    logger.info("Disconnected from database.")
+
+def _start_scheduler():
+    """Starts the background scheduler."""
+    try:
+        start_scheduler()
+        logger.info("Scheduler started successfully.")
+    except Exception as e:
+         logger.error(f"Failed to start scheduler: {e}")
+
+def _stop_scheduler():
+    """Stops the background scheduler."""
+    stop_scheduler()
+    logger.info("Scheduler stopped.")
+
+async def _perform_update_check(app: FastAPI):
+    """Checks for updates and stores the info in app.state."""
+    update_available, latest_version, error_message = await check_for_updates()
+    current_version = _get_current_version() # Read from VERSION file
+    update_info = {
+        "update_available": update_available,
+        "latest_version": latest_version,
+        "error_message": error_message,
+        "current_version": current_version
+    }
+    # Ensure app.state exists and store update info
+    if not hasattr(app, "state"):
+        from starlette.datastructures import State
+        app.state = State()
+    app.state.update_info = update_info
+    logger.info(f"Update check completed. Info: {update_info}")
+
+# --- Application Lifespan ---
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """
+    Manages the application startup and shutdown events.
+    
+    Args:
+        app: FastAPI应用实例
+    """
+    # Startup events
+    logger.info("Application starting up...")
+    try:
+        # Setup database, config, and KeyManager
+        await _setup_database_and_config(settings) # Pass settings object
+
+        # Perform update check after core components are ready
+        await _perform_update_check(app)
+
+        # Start the scheduler
+        _start_scheduler()
+
+    except Exception as e:
+        logger.critical(f"Critical error during application startup: {str(e)}", exc_info=True)
+        # Depending on the severity, you might want to prevent the app from fully starting
+        # For now, we log critically and let it yield, potentially in a broken state.
+        # Consider adding more robust error handling here if startup failures should halt the app.
+
+    yield  # Application runs
+
+    # Shutdown events
+    logger.info("Application shutting down...")
+    _stop_scheduler()
+    await _shutdown_database()
+
+def create_app() -> FastAPI:
+    """
+    创建并配置FastAPI应用程序实例
+    
+    Returns:
+        FastAPI: 配置好的FastAPI应用程序实例
+    """
+    # Removed: initialize_app() call
+
+    # 创建FastAPI应用
+    # Read version from file for consistency
+    current_version = _get_current_version()
+    app = FastAPI(
+        title="Gemini Balance API",
+        description="Gemini API代理服务，支持负载均衡和密钥管理",
+        version=current_version,
+        lifespan=lifespan
+    )
+
+    # Initialize app.state early to ensure it exists before lifespan potentially uses it
+    if not hasattr(app, "state"):
+        from starlette.datastructures import State
+        app.state = State()
+    # Set a default/initial state for update_info
+    app.state.update_info = {
+        "update_available": False,
+        "latest_version": None,
+        "error_message": "Initializing...",
+        "current_version": current_version # Use version read earlier
+    }
+
+    # 配置静态文件
+    app.mount("/static", StaticFiles(directory=str(STATIC_DIR)), name="static")
+
+    # 配置中间件
+    setup_middlewares(app)
+    
+    # 配置异常处理器
+    setup_exception_handlers(app)
+    
+    # 配置路由
+    setup_routers(app)
+    
+    return app

app/core/config.py

@@ -1,29 +0,0 @@
-from pydantic_settings import BaseSettings
-from typing import List
-
-
-class Settings(BaseSettings):
-    API_KEYS: List[str]
-    ALLOWED_TOKENS: List[str]
-    BASE_URL: str = "https://generativelanguage.googleapis.com/v1beta"
-    MODEL_SEARCH: List[str] = ["gemini-2.0-flash-exp"]
-    TOOLS_CODE_EXECUTION_ENABLED: bool = False
-    SHOW_SEARCH_LINK: bool = True
-    SHOW_THINKING_PROCESS: bool = True
-    AUTH_TOKEN: str = ""
-    MAX_FAILURES: int = 3
-    PAID_KEY: str = ""
-    CREATE_IMAGE_MODEL: str = "imagen-3.0-generate-002"
-    UPLOAD_PROVIDER: str = "smms"
-    SMMS_SECRET_TOKEN: str = ""
-
-    def __init__(self):
-        super().__init__()
-        if not self.AUTH_TOKEN:
-            self.AUTH_TOKEN = self.ALLOWED_TOKENS[0] if self.ALLOWED_TOKENS else ""
-
-    class Config:
-        env_file = ".env"
-
-
-settings = Settings()

app/core/constants.py

@@ -0,0 +1,42 @@
+"""
+常量定义模块
+"""
+
+# API相关常量
+API_VERSION = "v1beta"
+DEFAULT_TIMEOUT = 300  # 秒
+MAX_RETRIES = 3  # 最大重试次数
+
+# 模型相关常量
+SUPPORTED_ROLES = ["user", "model", "system"]
+DEFAULT_MODEL = "gemini-1.5-flash"
+DEFAULT_TEMPERATURE = 0.7
+DEFAULT_MAX_TOKENS = 8192
+DEFAULT_TOP_P = 0.9
+DEFAULT_TOP_K = 40
+DEFAULT_FILTER_MODELS = [
+        "gemini-1.0-pro-vision-latest", 
+        "gemini-pro-vision", 
+        "chat-bison-001", 
+        "text-bison-001", 
+        "embedding-gecko-001"
+    ]
+DEFAULT_CREATE_IMAGE_MODEL = "imagen-3.0-generate-002"
+
+# 图像生成相关常量
+VALID_IMAGE_RATIOS = ["1:1", "3:4", "4:3", "9:16", "16:9"]
+
+# 上传提供商
+UPLOAD_PROVIDERS = ["smms", "picgo", "cloudflare_imgbed"]
+DEFAULT_UPLOAD_PROVIDER = "smms"
+
+# 流式输出相关常量
+DEFAULT_STREAM_MIN_DELAY = 0.016
+DEFAULT_STREAM_MAX_DELAY = 0.024
+DEFAULT_STREAM_SHORT_TEXT_THRESHOLD = 10
+DEFAULT_STREAM_LONG_TEXT_THRESHOLD = 50
+DEFAULT_STREAM_CHUNK_SIZE = 5
+
+# 正则表达式模式
+IMAGE_URL_PATTERN = r'!\[(.*?)\]\((.*?)\)'
+DATA_URL_PATTERN = r'data:([^;]+);base64,(.+)'

app/core/logger.py

@@ -1,135 +0,0 @@
-import logging
-import sys
-from typing import Dict, Optional
-import platform
-
-# ANSI转义序列颜色代码
-COLORS = {
-    'DEBUG': '\033[34m',  # 蓝色
-    'INFO': '\033[32m',  # 绿色
-    'WARNING': '\033[33m',  # 黄色
-    'ERROR': '\033[31m',  # 红色
-    'CRITICAL': '\033[1;31m'  # 红色加粗
-}
-
-# Windows系统启用ANSI支持
-if platform.system() == 'Windows':
-    import ctypes
-
-    kernel32 = ctypes.windll.kernel32
-    kernel32.SetConsoleMode(kernel32.GetStdHandle(-11), 7)
-
-
-class ColoredFormatter(logging.Formatter):
-    """
-    自定义的日志格式化器,添加颜色支持
-    """
-
-    def format(self, record):
-        # 获取对应级别的颜色代码
-        color = COLORS.get(record.levelname, '')
-        # 添加颜色代码和重置代码
-        record.levelname = f"{color}{record.levelname}\033[0m"
-        return super().format(record)
-
-
-# 日志格式
-FORMATTER = ColoredFormatter(
-    "%(asctime)s - %(name)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s"
-)
-
-# 日志级别映射
-LOG_LEVELS = {
-    "debug": logging.DEBUG,
-    "info": logging.INFO,
-    "warning": logging.WARNING,
-    "error": logging.ERROR,
-    "critical": logging.CRITICAL,
-}
-
-
-class Logger:
-    def __init__(self):
-        pass
-
-    _loggers: Dict[str, logging.Logger] = {}
-
-    @staticmethod
-    def setup_logger(
-            name: str,
-            level: str = "debug",
-    ) -> logging.Logger:
-        """
-        设置并获取logger
-        :param name: logger名称
-        :param level: 日志级别
-        :return: logger实例
-        """
-        if name in Logger._loggers:
-            return Logger._loggers[name]
-
-        logger = logging.getLogger(name)
-        logger.setLevel(LOG_LEVELS.get(level.lower(), logging.INFO))
-        logger.propagate = False
-
-        # 添加控制台输出
-        console_handler = logging.StreamHandler(sys.stdout)
-        console_handler.setFormatter(FORMATTER)
-        logger.addHandler(console_handler)
-
-        Logger._loggers[name] = logger
-        return logger
-
-    @staticmethod
-    def get_logger(name: str) -> Optional[logging.Logger]:
-        """
-        获取已存在的logger
-        :param name: logger名称
-        :return: logger实例或None
-        """
-        return Logger._loggers.get(name)
-
-
-# 预定义的loggers
-def get_openai_logger():
-    return Logger.setup_logger("openai")
-
-
-def get_gemini_logger():
-    return Logger.setup_logger("gemini")
-
-
-def get_chat_logger():
-    return Logger.setup_logger("chat")
-
-
-def get_model_logger():
-    return Logger.setup_logger("model")
-
-
-def get_security_logger():
-    return Logger.setup_logger("security")
-
-
-def get_key_manager_logger():
-    return Logger.setup_logger("key_manager")
-
-
-def get_main_logger():
-    return Logger.setup_logger("main")
-
-
-def get_embeddings_logger():
-    return Logger.setup_logger("embeddings")
-
-
-def get_request_logger():
-    return Logger.setup_logger("request")
-
-
-def get_retry_logger():
-    return Logger.setup_logger("retry")
-
-
-def get_image_create_logger():
-    return Logger.setup_logger("image_create")

app/core/security.py

@@ -1,26 +1,27 @@
-from fastapi import HTTPException, Header
 from typing import Optional
-from app.core.logger import get_security_logger
-from app.core.config import settings
+
+from fastapi import Header, HTTPException
+
+from app.config.config import settings
+from app.log.logger import get_security_logger
 
 logger = get_security_logger()
 
+
 def verify_auth_token(token: str) -> bool:
     return token == settings.AUTH_TOKEN
 
+
 class SecurityService:
-    def __init__(self, allowed_tokens: list, auth_token: str):
-        self.allowed_tokens = allowed_tokens
-        self.auth_token = auth_token
 
     async def verify_key(self, key: str):
-        if key not in self.allowed_tokens and key != self.auth_token:
+        if key not in settings.ALLOWED_TOKENS and key != settings.AUTH_TOKEN:
             logger.error("Invalid key")
             raise HTTPException(status_code=401, detail="Invalid key")
         return key
 
     async def verify_authorization(
-            self, authorization: Optional[str] = Header(None)
+        self, authorization: Optional[str] = Header(None)
     ) -> str:
         if not authorization:
             logger.error("Missing Authorization header")
@@ -33,31 +34,57 @@ class SecurityService:
             )
 
         token = authorization.replace("Bearer ", "")
-        if token not in self.allowed_tokens and token != self.auth_token:
+        if token not in settings.ALLOWED_TOKENS and token != settings.AUTH_TOKEN:
             logger.error("Invalid token")
             raise HTTPException(status_code=401, detail="Invalid token")
 
         return token
 
-    async def verify_goog_api_key(self, x_goog_api_key: Optional[str] = Header(None)) -> str:
+    async def verify_goog_api_key(
+        self, x_goog_api_key: Optional[str] = Header(None)
+    ) -> str:
         """验证Google API Key"""
         if not x_goog_api_key:
             logger.error("Missing x-goog-api-key header")
             raise HTTPException(status_code=401, detail="Missing x-goog-api-key header")
 
-        if x_goog_api_key not in self.allowed_tokens and x_goog_api_key != self.auth_token:
+        if (
+            x_goog_api_key not in settings.ALLOWED_TOKENS
+            and x_goog_api_key != settings.AUTH_TOKEN
+        ):
             logger.error("Invalid x-goog-api-key")
             raise HTTPException(status_code=401, detail="Invalid x-goog-api-key")
 
         return x_goog_api_key
 
-    async def verify_auth_token(self, authorization: Optional[str] = Header(None)) -> str:
+    async def verify_auth_token(
+        self, authorization: Optional[str] = Header(None)
+    ) -> str:
         if not authorization:
             logger.error("Missing auth_token header")
             raise HTTPException(status_code=401, detail="Missing auth_token header")
         token = authorization.replace("Bearer ", "")
-        if token != self.auth_token:
+        if token != settings.AUTH_TOKEN:
             logger.error("Invalid auth_token")
             raise HTTPException(status_code=401, detail="Invalid auth_token")
 
         return token
+
+    async def verify_key_or_goog_api_key(
+        self, key: Optional[str] = None , x_goog_api_key: Optional[str] = Header(None)
+    ) -> str:
+        """验证URL中的key或请求头中的x-goog-api-key"""
+        # 如果URL中的key有效，直接返回
+        if key in settings.ALLOWED_TOKENS or key == settings.AUTH_TOKEN:
+            return key
+        
+        # 否则检查请求头中的x-goog-api-key
+        if not x_goog_api_key:
+            logger.error("Invalid key and missing x-goog-api-key header")
+            raise HTTPException(status_code=401, detail="Invalid key and missing x-goog-api-key header")
+        
+        if x_goog_api_key not in settings.ALLOWED_TOKENS and x_goog_api_key != settings.AUTH_TOKEN:
+            logger.error("Invalid key and invalid x-goog-api-key")
+            raise HTTPException(status_code=401, detail="Invalid key and invalid x-goog-api-key")
+        
+        return x_goog_api_key

app/core/uploader.py

@@ -1,163 +0,0 @@
-import requests
-from app.schemas.image_models import ImageMetadata, ImageUploader, UploadResponse
-from enum import Enum
-from typing import Optional, Any
-
-class UploadErrorType(Enum):
-    """上传错误类型枚举"""
-    NETWORK_ERROR = "network_error"  # 网络请求错误
-    AUTH_ERROR = "auth_error"        # 认证错误
-    INVALID_FILE = "invalid_file"    # 无效文件
-    SERVER_ERROR = "server_error"    # 服务器错误
-    PARSE_ERROR = "parse_error"      # 响应解析错误
-    UNKNOWN = "unknown"              # 未知错误
-
-
-class UploadError(Exception):
-    """图片上传错误异常类"""
-    
-    def __init__(
-        self,
-        message: str,
-        error_type: UploadErrorType = UploadErrorType.UNKNOWN,
-        status_code: Optional[int] = None,
-        details: Optional[dict] = None,
-        original_error: Optional[Exception] = None
-    ):
-        """
-        初始化上传错误异常
-        
-        Args:
-            message: 错误消息
-            error_type: 错误类型
-            status_code: HTTP状态码
-            details: 详细错误信息
-            original_error: 原始异常
-        """
-        self.message = message
-        self.error_type = error_type
-        self.status_code = status_code
-        self.details = details or {}
-        self.original_error = original_error
-        
-        # 构建完整错误信息
-        full_message = f"[{error_type.value}] {message}"
-        if status_code:
-            full_message = f"{full_message} (Status: {status_code})"
-        if details:
-            full_message = f"{full_message} - Details: {details}"
-            
-        super().__init__(full_message)
-    
-    @classmethod
-    def from_response(cls, response: Any, message: Optional[str] = None) -> "UploadError":
-        """
-        从HTTP响应创建错误实例
-        
-        Args:
-            response: HTTP响应对象
-            message: 自定义错误消息
-        """
-        try:
-            error_data = response.json()
-            details = error_data.get("data", {})
-            return cls(
-                message=message or error_data.get("message", "Unknown error"),
-                error_type=UploadErrorType.SERVER_ERROR,
-                status_code=response.status_code,
-                details=details
-            )
-        except Exception:
-            return cls(
-                message=message or "Failed to parse error response",
-                error_type=UploadErrorType.PARSE_ERROR,
-                status_code=response.status_code
-            )
-
-
-class SmMsUploader(ImageUploader):
-    API_URL = "https://sm.ms/api/v2/upload"
-    
-    def __init__(self, api_key: str):
-        self.api_key = api_key
-        
-    def upload(self, file: bytes, filename: str) -> UploadResponse:
-        try:
-            # 准备请求头
-            headers = {
-                "Authorization": f"Basic {self.api_key}"
-            }
-            
-            # 准备文件数据
-            files = {
-                "smfile": (filename, file, "image/png")
-            }
-            
-            # 发送请求
-            response = requests.post(
-                self.API_URL,
-                headers=headers,
-                files=files
-            )
-            
-            # 检查响应状态
-            response.raise_for_status()
-            
-            # 解析响应
-            result = response.json()
-            
-            # 验证上传是否成功
-            if not result.get("success"):
-                raise UploadError(result.get("message", "Upload failed"))
-                
-            # 转换为统一格式
-            data = result["data"]
-            image_metadata = ImageMetadata(
-                width=data["width"],
-                height=data["height"],
-                filename=data["filename"],
-                size=data["size"],
-                url=data["url"],
-                delete_url=data["delete"]
-            )
-            
-            return UploadResponse(
-                success=True,
-                code="success",
-                message="Upload success",
-                data=image_metadata
-            )
-            
-        except requests.RequestException as e:
-            # 处理网络请求相关错误
-            raise UploadError(f"Upload request failed: {str(e)}")
-        except (KeyError, ValueError) as e:
-            # 处理响应解析错误
-            raise UploadError(f"Invalid response format: {str(e)}")
-        except Exception as e:
-            # 处理其他未预期的错误
-            raise UploadError(f"Upload failed: {str(e)}")
-    
-    
-class QiniuUploader(ImageUploader):
-    def __init__(self, access_key: str, secret_key: str):
-        self.access_key = access_key
-        self.secret_key = secret_key
-        
-    def upload(self, file: bytes, filename: str) -> UploadResponse:
-        # 实现七牛云的具体上传逻辑
-        pass
-    
-    
-class ImageUploaderFactory:
-    @staticmethod
-    def create(provider: str, **credentials) -> ImageUploader:
-        if provider == "smms":
-            return SmMsUploader(credentials["api_key"])
-        elif provider == "qiniu":
-            return QiniuUploader(
-                credentials["access_key"], 
-                credentials["secret_key"]
-            )
-        raise ValueError(f"Unknown provider: {provider}")
-    

app/database/__init__.py

@@ -0,0 +1,3 @@
+"""
+数据库模块
+"""

app/database/connection.py

@@ -0,0 +1,55 @@
+"""
+数据库连接池模块
+"""
+from databases import Database
+from sqlalchemy import create_engine, MetaData
+from sqlalchemy.ext.declarative import declarative_base
+
+from app.config.config import settings
+from app.log.logger import get_database_logger
+
+logger = get_database_logger()
+
+# 数据库URL
+DATABASE_URL = f"mysql+pymysql://{settings.MYSQL_USER}:{settings.MYSQL_PASSWORD}@{settings.MYSQL_HOST}:{settings.MYSQL_PORT}/{settings.MYSQL_DATABASE}"
+
+# 创建数据库引擎
+# pool_pre_ping=True: 在从连接池获取连接前执行简单的 "ping" 测试，确保连接有效
+engine = create_engine(DATABASE_URL, pool_pre_ping=True)
+
+# 创建元数据对象
+metadata = MetaData()
+
+# 创建基类
+Base = declarative_base(metadata=metadata)
+
+# 创建数据库连接池，并配置连接池参数
+# min_size/max_size: 连接池的最小/最大连接数
+# pool_recycle=3600: 连接在池中允许存在的最大秒数（生命周期）。
+#                    设置为 3600 秒（1小时），确保在 MySQL 默认的 wait_timeout (通常8小时) 或其他网络超时之前回收连接。
+#                    如果遇到连接失效问题，可以尝试调低此值，使其小于实际的 wait_timeout 或网络超时时间。
+# databases 库会自动处理连接失效后的重连尝试。
+database = Database(DATABASE_URL, min_size=5, max_size=20, pool_recycle=1800) # Reduced recycle time to 30 mins
+
+
+async def connect_to_db():
+    """
+    连接到数据库
+    """
+    try:
+        await database.connect()
+        logger.info("Connected to database")
+    except Exception as e:
+        logger.error(f"Failed to connect to database: {str(e)}")
+        raise
+
+
+async def disconnect_from_db():
+    """
+    断开数据库连接
+    """
+    try:
+        await database.disconnect()
+        logger.info("Disconnected from database")
+    except Exception as e:
+        logger.error(f"Failed to disconnect from database: {str(e)}")

app/database/initialization.py

@@ -0,0 +1,77 @@
+"""
+数据库初始化模块
+"""
+from dotenv import dotenv_values
+
+from sqlalchemy import inspect
+from sqlalchemy.orm import Session
+
+from app.database.connection import engine, Base
+from app.database.models import Settings
+from app.log.logger import get_database_logger
+
+logger = get_database_logger()
+
+
+def create_tables():
+    """
+    创建数据库表
+    """
+    try:
+        # 创建所有表
+        Base.metadata.create_all(engine)
+        logger.info("Database tables created successfully")
+    except Exception as e:
+        logger.error(f"Failed to create database tables: {str(e)}")
+        raise
+
+
+def import_env_to_settings():
+    """
+    将.env文件中的配置项导入到t_settings表中
+    """
+    try:
+        # 获取.env文件中的所有配置项
+        env_values = dotenv_values(".env")
+        
+        # 获取检查器
+        inspector = inspect(engine)
+        
+         # 检查t_settings表是否存在
+        if "t_settings" in inspector.get_table_names():
+            # 使用Session进行数据库操作
+            with Session(engine) as session:
+                # 获取所有现有的配置项
+                current_settings = {setting.key: setting for setting in session.query(Settings).all()}
+                
+                # 遍历所有配置项
+                for key, value in env_values.items():
+                    # 检查配置项是否已存在
+                    if key not in current_settings:
+                        # 插入配置项
+                        new_setting = Settings(key=key, value=value)
+                        session.add(new_setting)
+                        logger.info(f"Inserted setting: {key}")
+                
+                # 提交事务
+                session.commit()
+                
+        logger.info("Environment variables imported to settings table successfully")
+    except Exception as e:
+        logger.error(f"Failed to import environment variables to settings table: {str(e)}")
+        raise
+
+
+def initialize_database():
+    """
+    初始化数据库
+    """
+    try:
+        # 创建表
+        create_tables()
+        
+        # 导入环境变量
+        import_env_to_settings()
+    except Exception as e:
+        logger.error(f"Failed to initialize database: {str(e)}")
+        raise

app/database/models.py

@@ -0,0 +1,61 @@
+"""
+数据库模型模块
+"""
+import datetime
+from sqlalchemy import Column, Integer, String, Text, DateTime, JSON, Boolean # 添加 Boolean
+
+from app.database.connection import Base
+
+
+class Settings(Base):
+    """
+    设置表，对应.env中的配置项
+    """
+    __tablename__ = "t_settings"
+    
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    key = Column(String(100), nullable=False, unique=True, comment="配置项键名")
+    value = Column(Text, nullable=True, comment="配置项值")
+    description = Column(String(255), nullable=True, comment="配置项描述")
+    created_at = Column(DateTime, default=datetime.datetime.now, comment="创建时间")
+    updated_at = Column(DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now, comment="更新时间")
+    
+    def __repr__(self):
+        return f"<Settings(key='{self.key}', value='{self.value}')>"
+
+
+class ErrorLog(Base):
+    """
+    错误日志表
+    """
+    __tablename__ = "t_error_logs"
+    
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    gemini_key = Column(String(100), nullable=True, comment="Gemini API密钥")
+    model_name = Column(String(100), nullable=True, comment="模型名称")
+    error_type = Column(String(50), nullable=True, comment="错误类型")
+    error_log = Column(Text, nullable=True, comment="错误日志")
+    error_code = Column(Integer, nullable=True, comment="错误代码")
+    request_msg = Column(JSON, nullable=True, comment="请求消息")
+    request_time = Column(DateTime, default=datetime.datetime.now, comment="请求时间")
+    
+    def __repr__(self):
+        return f"<ErrorLog(id='{self.id}', gemini_key='{self.gemini_key}')>"
+
+# 新增 RequestLog 模型
+class RequestLog(Base):
+    """
+    API 请求日志表
+    """
+    __tablename__ = "t_request_log"
+
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    request_time = Column(DateTime, default=datetime.datetime.now, comment="请求时间")
+    model_name = Column(String(100), nullable=True, comment="模型名称")
+    api_key = Column(String(100), nullable=True, comment="使用的API密钥") # 考虑安全性，后续可优化
+    is_success = Column(Boolean, nullable=False, comment="请求是否成功")
+    status_code = Column(Integer, nullable=True, comment="API响应状态码")
+    latency_ms = Column(Integer, nullable=True, comment="请求耗时(毫秒)")
+
+    def __repr__(self):
+        return f"<RequestLog(id='{self.id}', key='{self.api_key[:4]}...', success='{self.is_success}')>"

app/database/services.py

@@ -0,0 +1,323 @@
+"""
+数据库服务模块
+"""
+import json
+from typing import Dict, List, Optional, Any, Union
+from datetime import datetime # Keep this import
+
+from sqlalchemy import select, insert, update, func
+
+from app.database.connection import database
+from app.database.models import Settings, ErrorLog, RequestLog # Import RequestLog
+from app.log.logger import get_database_logger
+
+logger = get_database_logger()
+
+
+async def get_all_settings() -> List[Dict[str, Any]]:
+    """
+    获取所有设置
+    
+    Returns:
+        List[Dict[str, Any]]: 设置列表
+    """
+    try:
+        query = select(Settings)
+        result = await database.fetch_all(query)
+        return [dict(row) for row in result]
+    except Exception as e:
+        logger.error(f"Failed to get all settings: {str(e)}")
+        raise
+
+
+async def get_setting(key: str) -> Optional[Dict[str, Any]]:
+    """
+    获取指定键的设置
+    
+    Args:
+        key: 设置键名
+    
+    Returns:
+        Optional[Dict[str, Any]]: 设置信息，如果不存在则返回None
+    """
+    try:
+        query = select(Settings).where(Settings.key == key)
+        result = await database.fetch_one(query)
+        return dict(result) if result else None
+    except Exception as e:
+        logger.error(f"Failed to get setting {key}: {str(e)}")
+        raise
+
+
+async def update_setting(key: str, value: str, description: Optional[str] = None) -> bool:
+    """
+    更新设置
+    
+    Args:
+        key: 设置键名
+        value: 设置值
+        description: 设置描述
+    
+    Returns:
+        bool: 是否更新成功
+    """
+    try:
+        # 检查设置是否存在
+        setting = await get_setting(key)
+        
+        if setting:
+            # 更新设置
+            query = (
+                update(Settings)
+                .where(Settings.key == key)
+                .values(
+                    value=value,
+                    description=description if description else setting["description"],
+                    updated_at=datetime.now() # Use datetime.now()
+                )
+            )
+            await database.execute(query)
+            logger.info(f"Updated setting: {key}")
+            return True
+        else:
+            # 插入设置
+            query = (
+                insert(Settings)
+                .values(
+                    key=key,
+                    value=value,
+                    description=description,
+                    created_at=datetime.now(), # Use datetime.now()
+                    updated_at=datetime.now() # Use datetime.now()
+                )
+            )
+            await database.execute(query)
+            logger.info(f"Inserted setting: {key}")
+            return True
+    except Exception as e:
+        logger.error(f"Failed to update setting {key}: {str(e)}")
+        return False
+
+
+async def add_error_log(
+    gemini_key: Optional[str] = None,
+    model_name: Optional[str] = None,
+    error_type: Optional[str] = None,
+    error_log: Optional[str] = None,
+    error_code: Optional[int] = None,
+    request_msg: Optional[Union[Dict[str, Any], str]] = None
+) -> bool:
+    """
+    添加错误日志
+    
+    Args:
+        gemini_key: Gemini API密钥
+        error_log: 错误日志
+        error_code: 错误代码 (例如 HTTP 状态码)
+        request_msg: 请求消息
+    
+    Returns:
+        bool: 是否添加成功
+    """
+    try:
+        # 如果request_msg是字典，则转换为JSON字符串
+        if isinstance(request_msg, dict):
+            request_msg_json = request_msg
+        elif isinstance(request_msg, str):
+            try:
+                request_msg_json = json.loads(request_msg)
+            except json.JSONDecodeError:
+                request_msg_json = {"message": request_msg}
+        else:
+            request_msg_json = None
+        
+        # 插入错误日志
+        query = (
+            insert(ErrorLog)
+            .values(
+                gemini_key=gemini_key,
+                error_type=error_type,
+                error_log=error_log,
+                model_name=model_name,
+                error_code=error_code,
+                request_msg=request_msg_json,
+                request_time=datetime.now()
+            )
+        )
+        await database.execute(query)
+        logger.info(f"Added error log for key: {gemini_key}")
+        return True
+    except Exception as e:
+        logger.error(f"Failed to add error log: {str(e)}")
+        return False
+
+
+async def get_error_logs(
+    limit: int = 20,
+    offset: int = 0,
+    key_search: Optional[str] = None,
+    error_search: Optional[str] = None,
+    start_date: Optional[datetime] = None,
+    end_date: Optional[datetime] = None
+) -> List[Dict[str, Any]]:
+    """
+    获取错误日志，支持搜索和日期过滤
+
+    Args:
+        limit (int): 限制数量
+        offset (int): 偏移量
+        key_search (Optional[str]): Gemini密钥搜索词 (模糊匹配)
+        error_search (Optional[str]): 错误类型或日志内容搜索词 (模糊匹配)
+        start_date (Optional[datetime]): 开始日期时间
+        end_date (Optional[datetime]): 结束日期时间
+
+    Returns:
+        List[Dict[str, Any]]: 错误日志列表
+    """
+    try:
+        query = select(
+            ErrorLog.id,
+            ErrorLog.gemini_key,
+            ErrorLog.model_name,
+            ErrorLog.error_type,
+            ErrorLog.error_log,
+            ErrorLog.error_code,
+            ErrorLog.request_time
+        )
+        
+        # Apply filters
+        if key_search:
+            query = query.where(ErrorLog.gemini_key.ilike(f"%{key_search}%"))
+        if error_search:
+            query = query.where(
+                (ErrorLog.error_type.ilike(f"%{error_search}%")) |
+                (ErrorLog.error_log.ilike(f"%{error_search}%"))
+            )
+        if start_date:
+            query = query.where(ErrorLog.request_time >= start_date)
+        if end_date:
+            # Use the datetime object directly for comparison
+            query = query.where(ErrorLog.request_time < end_date)
+
+        # Apply ordering, limit, and offset
+        query = query.order_by(ErrorLog.id.desc()).limit(limit).offset(offset)
+        
+        result = await database.fetch_all(query)
+        return [dict(row) for row in result]
+    except Exception as e:
+        logger.exception(f"Failed to get error logs with filters: {str(e)}") # Use exception for stack trace
+        raise
+
+
+async def get_error_logs_count(
+    key_search: Optional[str] = None,
+    error_search: Optional[str] = None,
+    start_date: Optional[datetime] = None,
+    end_date: Optional[datetime] = None
+) -> int:
+    """
+    获取符合条件的错误日志总数
+
+    Args:
+        key_search (Optional[str]): Gemini密钥搜索词 (模糊匹配)
+        error_search (Optional[str]): 错误类型或日志内容搜索词 (模糊匹配)
+        start_date (Optional[datetime]): 开始日期时间
+        end_date (Optional[datetime]): 结束日期时间
+
+    Returns:
+        int: 日志总数
+    """
+    try:
+        query = select(func.count()).select_from(ErrorLog)
+
+        # Apply the same filters as get_error_logs
+        if key_search:
+            query = query.where(ErrorLog.gemini_key.ilike(f"%{key_search}%"))
+        if error_search:
+            query = query.where(
+                (ErrorLog.error_type.ilike(f"%{error_search}%")) |
+                (ErrorLog.error_log.ilike(f"%{error_search}%"))
+            )
+        if start_date:
+            query = query.where(ErrorLog.request_time >= start_date)
+        if end_date:
+            # Use the datetime object directly for comparison
+            query = query.where(ErrorLog.request_time < end_date)
+
+        count_result = await database.fetch_one(query)
+        return count_result[0] if count_result else 0
+    except Exception as e:
+        logger.exception(f"Failed to count error logs with filters: {str(e)}") # Use exception for stack trace
+        raise
+
+
+# 新增函数：获取单条错误日志详情
+async def get_error_log_details(log_id: int) -> Optional[Dict[str, Any]]:
+    """
+    根据 ID 获取单个错误日志的详细信息
+
+    Args:
+        log_id (int): 错误日志的 ID
+
+    Returns:
+        Optional[Dict[str, Any]]: 包含日志详细信息的字典，如果未找到则返回 None
+    """
+    try:
+        query = select(ErrorLog).where(ErrorLog.id == log_id)
+        result = await database.fetch_one(query)
+        if result:
+            # 将 request_msg (JSONB) 转换为字符串以便在 API 中返回
+            log_dict = dict(result)
+            if 'request_msg' in log_dict and log_dict['request_msg'] is not None:
+                # 确保即使是 None 或非 JSON 数据也能处理
+                try:
+                    log_dict['request_msg'] = json.dumps(log_dict['request_msg'], ensure_ascii=False, indent=2)
+                except TypeError:
+                    log_dict['request_msg'] = str(log_dict['request_msg']) # Fallback to string
+            return log_dict
+        else:
+            return None
+    except Exception as e:
+        logger.exception(f"Failed to get error log details for ID {log_id}: {str(e)}")
+        raise
+
+# 新增函数：添加请求日志
+async def add_request_log(
+    model_name: Optional[str],
+    api_key: Optional[str],
+    is_success: bool,
+    status_code: Optional[int] = None,
+    latency_ms: Optional[int] = None,
+    request_time: Optional[datetime] = None
+) -> bool:
+    """
+    添加 API 请求日志
+
+    Args:
+        model_name: 模型名称
+        api_key: 使用的 API 密钥
+        is_success: 请求是否成功
+        status_code: API 响应状态码
+        latency_ms: 请求耗时(毫秒)
+        request_time: 请求发生时间 (如果为 None, 则使用当前时间)
+
+    Returns:
+        bool: 是否添加成功
+    """
+    try:
+        log_time = request_time if request_time else datetime.now()
+
+        query = insert(RequestLog).values(
+            request_time=log_time,
+            model_name=model_name,
+            api_key=api_key,
+            is_success=is_success,
+            status_code=status_code,
+            latency_ms=latency_ms
+        )
+        await database.execute(query)
+        # logger.debug(f"Added request log: key={api_key[:4]}..., success={is_success}, model={model_name}") # Use debug level
+        return True
+    except Exception as e:
+        logger.error(f"Failed to add request log: {str(e)}")
+        return False

app/domain/gemini_models.py

@@ -0,0 +1,78 @@
+from typing import Any, Dict, List, Literal, Optional, Union
+
+from pydantic import BaseModel, Field
+
+from app.core.constants import DEFAULT_TEMPERATURE, DEFAULT_TOP_K, DEFAULT_TOP_P
+
+
+class SafetySetting(BaseModel):
+    category: Optional[
+        Literal[
+            "HARM_CATEGORY_HATE_SPEECH",
+            "HARM_CATEGORY_DANGEROUS_CONTENT",
+            "HARM_CATEGORY_HARASSMENT",
+            "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+            "HARM_CATEGORY_CIVIC_INTEGRITY",
+        ]
+    ] = None
+    threshold: Optional[
+        Literal[
+            "HARM_BLOCK_THRESHOLD_UNSPECIFIED",
+            "BLOCK_LOW_AND_ABOVE",
+            "BLOCK_MEDIUM_AND_ABOVE",
+            "BLOCK_ONLY_HIGH",
+            "BLOCK_NONE",
+            "OFF",
+        ]
+    ] = None
+
+
+class GenerationConfig(BaseModel):
+    stopSequences: Optional[List[str]] = None
+    responseMimeType: Optional[str] = None
+    responseSchema: Optional[Dict[str, Any]] = None
+    candidateCount: Optional[int] = 1
+    maxOutputTokens: Optional[int] = None
+    temperature: Optional[float] = DEFAULT_TEMPERATURE
+    topP: Optional[float] = DEFAULT_TOP_P
+    topK: Optional[int] = DEFAULT_TOP_K
+    presencePenalty: Optional[float] = None
+    frequencyPenalty: Optional[float] = None
+    responseLogprobs: Optional[bool] = None
+    logprobs: Optional[int] = None
+
+
+class SystemInstruction(BaseModel):
+    role: str = "system"
+    parts: List[Dict[str, Any]] | Dict[str, Any]
+
+
+class GeminiContent(BaseModel):
+    role: str
+    parts: List[Dict[str, Any]]
+
+
+class GeminiRequest(BaseModel):
+    contents: List[GeminiContent] = []
+    tools: Optional[Union[List[Dict[str, Any]], Dict[str, Any]]] = []
+    safety_settings: Optional[List[SafetySetting]] = Field(
+        default=None, alias="safetySettings"
+    )
+    generation_config: Optional[GenerationConfig] = Field(
+        default=None, alias="generationConfig"
+    )
+    system_instruction: Optional[SystemInstruction] = Field(
+        default=None, alias="systemInstruction"
+    )
+
+    class Config:
+        populate_by_name = True
+
+
+class ResetSelectedKeysRequest(BaseModel):
+    keys: List[str]
+    key_type: str
+
+
+class VerifySelectedKeysRequest(BaseModel):
+    keys: List[str]

app/domain/openai_models.py

@@ -1,17 +1,19 @@
 from pydantic import BaseModel
 from typing import List, Optional, Union
 
+from app.core.constants import DEFAULT_MODEL, DEFAULT_TEMPERATURE, DEFAULT_TOP_K, DEFAULT_TOP_P
+
 
 class ChatRequest(BaseModel):
     messages: List[dict]
-    model: str = "gemini-1.5-flash-002"
-    temperature: Optional[float] = 0.7
+    model: str = DEFAULT_MODEL
+    temperature: Optional[float] = DEFAULT_TEMPERATURE
     stream: Optional[bool] = False
     tools: Optional[List[dict]] = []
-    max_tokens: Optional[int] = 8192
+    max_tokens: Optional[int] = None
+    top_p: Optional[float] = DEFAULT_TOP_P
+    top_k: Optional[int] = DEFAULT_TOP_K
     stop: Optional[List[str]] = []
-    top_p: Optional[float] = 0.9
-    top_k: Optional[int] = 40
 
 
 class EmbeddingRequest(BaseModel):

app/exception/exceptions.py

@@ -0,0 +1,140 @@
+"""
+异常处理模块，定义应用程序中使用的自定义异常和异常处理器
+"""
+
+from fastapi import FastAPI, Request
+from fastapi.exceptions import RequestValidationError
+from fastapi.responses import JSONResponse
+from starlette.exceptions import HTTPException as StarletteHTTPException
+
+from app.log.logger import get_exceptions_logger
+
+logger = get_exceptions_logger()
+
+
+class APIError(Exception):
+    """API错误基类"""
+
+    def __init__(self, status_code: int, detail: str, error_code: str = None):
+        self.status_code = status_code
+        self.detail = detail
+        self.error_code = error_code or "api_error"
+        super().__init__(self.detail)
+
+
+class AuthenticationError(APIError):
+    """认证错误"""
+
+    def __init__(self, detail: str = "Authentication failed"):
+        super().__init__(
+            status_code=401, detail=detail, error_code="authentication_error"
+        )
+
+
+class AuthorizationError(APIError):
+    """授权错误"""
+
+    def __init__(self, detail: str = "Not authorized to access this resource"):
+        super().__init__(
+            status_code=403, detail=detail, error_code="authorization_error"
+        )
+
+
+class ResourceNotFoundError(APIError):
+    """资源未找到错误"""
+
+    def __init__(self, detail: str = "Resource not found"):
+        super().__init__(
+            status_code=404, detail=detail, error_code="resource_not_found"
+        )
+
+
+class ModelNotSupportedError(APIError):
+    """模型不支持错误"""
+
+    def __init__(self, model: str):
+        super().__init__(
+            status_code=400,
+            detail=f"Model {model} is not supported",
+            error_code="model_not_supported",
+        )
+
+
+class APIKeyError(APIError):
+    """API密钥错误"""
+
+    def __init__(self, detail: str = "Invalid or expired API key"):
+        super().__init__(status_code=401, detail=detail, error_code="api_key_error")
+
+
+class ServiceUnavailableError(APIError):
+    """服务不可用错误"""
+
+    def __init__(self, detail: str = "Service temporarily unavailable"):
+        super().__init__(
+            status_code=503, detail=detail, error_code="service_unavailable"
+        )
+
+
+def setup_exception_handlers(app: FastAPI) -> None:
+    """
+    设置应用程序的异常处理器
+
+    Args:
+        app: FastAPI应用程序实例
+    """
+
+    @app.exception_handler(APIError)
+    async def api_error_handler(request: Request, exc: APIError):
+        """处理API错误"""
+        logger.error(f"API Error: {exc.detail} (Code: {exc.error_code})")
+        return JSONResponse(
+            status_code=exc.status_code,
+            content={"error": {"code": exc.error_code, "message": exc.detail}},
+        )
+
+    @app.exception_handler(StarletteHTTPException)
+    async def http_exception_handler(request: Request, exc: StarletteHTTPException):
+        """处理HTTP异常"""
+        logger.error(f"HTTP Exception: {exc.detail} (Status: {exc.status_code})")
+        return JSONResponse(
+            status_code=exc.status_code,
+            content={"error": {"code": "http_error", "message": exc.detail}},
+        )
+
+    @app.exception_handler(RequestValidationError)
+    async def validation_exception_handler(
+        request: Request, exc: RequestValidationError
+    ):
+        """处理请求验证错误"""
+        error_details = []
+        for error in exc.errors():
+            error_details.append(
+                {"loc": error["loc"], "msg": error["msg"], "type": error["type"]}
+            )
+
+        logger.error(f"Validation Error: {error_details}")
+        return JSONResponse(
+            status_code=422,
+            content={
+                "error": {
+                    "code": "validation_error",
+                    "message": "Request validation failed",
+                    "details": error_details,
+                }
+            },
+        )
+
+    @app.exception_handler(Exception)
+    async def general_exception_handler(request: Request, exc: Exception):
+        """处理通用异常"""
+        logger.exception(f"Unhandled Exception: {str(exc)}")
+        return JSONResponse(
+            status_code=500,
+            content={
+                "error": {
+                    "code": "internal_server_error",
+                    "message": "An unexpected error occurred",
+                }
+            },
+        )

app/handler/message_converter.py

@@ -0,0 +1,173 @@
+
+from abc import ABC, abstractmethod
+import json
+import re
+from typing import Any, Dict, List, Optional
+import requests
+import base64
+
+from app.core.constants import DATA_URL_PATTERN, IMAGE_URL_PATTERN, SUPPORTED_ROLES
+
+
+class MessageConverter(ABC):
+    """消息转换器基类"""
+
+    @abstractmethod
+    def convert(self, messages: List[Dict[str, Any]]) -> tuple[List[Dict[str, Any]], Optional[Dict[str, Any]]]:
+        pass
+
+def _get_mime_type_and_data(base64_string):
+    """
+    从 base64 字符串中提取 MIME 类型和数据。
+    
+    参数:
+        base64_string (str): 可能包含 MIME 类型信息的 base64 字符串
+        
+    返回:
+        tuple: (mime_type, encoded_data)
+    """
+    # 检查字符串是否以 "data:" 格式开始
+    if base64_string.startswith('data:'):
+        # 提取 MIME 类型和数据
+        pattern = DATA_URL_PATTERN
+        match = re.match(pattern, base64_string)
+        if match:
+            mime_type = "image/jpeg" if match.group(1) == "image/jpg" else match.group(1)
+            encoded_data = match.group(2)
+            return mime_type, encoded_data
+    
+    # 如果不是预期格式，假定它只是数据部分
+    return None, base64_string
+
+def _convert_image(image_url: str) -> Dict[str, Any]:
+    if image_url.startswith("data:image"):
+        mime_type, encoded_data = _get_mime_type_and_data(image_url)
+        return {
+            "inline_data": {
+                "mime_type": mime_type,
+                "data": encoded_data
+            }
+        }
+    else:
+        encoded_data = _convert_image_to_base64(image_url)
+        return {
+            "inline_data": {
+                "mime_type": "image/png",
+                "data": encoded_data
+            }
+        }
+
+
+def _convert_image_to_base64(url: str) -> str:
+    """
+    将图片URL转换为base64编码
+    Args:
+        url: 图片URL
+    Returns:
+        str: base64编码的图片数据
+    """
+    response = requests.get(url)
+    if response.status_code == 200:
+        # 将图片内容转换为base64
+        img_data = base64.b64encode(response.content).decode('utf-8')
+        return img_data
+    else:
+        raise Exception(f"Failed to fetch image: {response.status_code}")
+
+
+def _process_text_with_image(text: str) -> List[Dict[str, Any]]:
+    """
+    处理可能包含图片URL的文本，提取图片并转换为base64
+
+    Args:
+        text: 可能包含图片URL的文本
+
+    Returns:
+        List[Dict[str, Any]]: 包含文本和图片的部分列表
+    """
+    parts = []
+    img_url_match = re.search(IMAGE_URL_PATTERN, text)
+    if img_url_match:
+        # 提取URL
+        img_url = img_url_match.group(2)
+        # 将URL对应的图片转换为base64
+        try:
+            base64_data = _convert_image_to_base64(img_url)
+            parts.append({
+                "inlineData": {
+                    "mimeType": "image/png",
+                    "data": base64_data
+                }
+            })
+        except Exception:
+            # 如果转换失败，回退到文本模式
+            parts.append({"text": text})
+    else:
+        # 没有图片URL，作为纯文本处理
+        parts.append({"text": text})
+    return parts
+
+
+class OpenAIMessageConverter(MessageConverter):
+    """OpenAI消息格式转换器"""
+
+    def convert(self, messages: List[Dict[str, Any]]) -> tuple[List[Dict[str, Any]], Optional[Dict[str, Any]]]:
+        converted_messages = []
+        system_instruction_parts = []
+
+        for idx, msg in enumerate(messages):
+            role = msg.get("role", "")
+            
+            parts = []
+            # 特别处理最后一个assistant的消息，按\n\n分割
+            if "content" in msg and isinstance(msg["content"], str) and msg["content"] and role == "assistant" and idx == len(messages) - 2:
+                # 按\n\n分割消息
+                content_parts = msg["content"].split("\n\n")
+                for part in content_parts:
+                    if not part.strip():  # 跳过空内容
+                        continue
+                    # 处理可能包含图片的文本
+                    parts.extend(_process_text_with_image(part))
+            elif "content" in msg and isinstance(msg["content"], str) and msg["content"]:
+                # 请求 gemini 接口时如果包含 content 字段但内容为空时会返回 400 错误，所以需要判断是否为空并移除
+                parts.extend(_process_text_with_image(msg["content"]))
+            elif "content" in msg and isinstance(msg["content"], list):
+                for content in msg["content"]:
+                    if isinstance(content, str) and content:
+                        parts.append({"text": content})
+                    elif isinstance(content, dict):
+                        if content["type"] == "text" and content["text"]:
+                            parts.append({"text": content["text"]})
+                        elif content["type"] == "image_url":
+                            parts.append(_convert_image(content["image_url"]["url"]))
+            elif "tool_calls" in msg and isinstance(msg["tool_calls"], list):
+                for tool_call in msg["tool_calls"]:
+                    function_call = tool_call.get("function",{})
+                    function_call["args"] = json.loads(function_call.get("arguments","{}"))
+                    del function_call["arguments"]
+                    parts.append({"functionCall": function_call})
+            
+            if role not in SUPPORTED_ROLES:
+                if role == "tool":
+                    role = "user"
+                else:
+                    # 如果是最后一条消息，则认为是用户消息
+                    if idx == len(messages) - 1:
+                        role = "user"
+                    else:
+                        role = "model"
+            if parts:
+                if role == "system":
+                    system_instruction_parts.extend(parts)
+                else:
+                    converted_messages.append({"role": role, "parts": parts})
+
+        system_instruction = (
+            None
+            if not system_instruction_parts
+            else {
+                "role": "system",
+                "parts": system_instruction_parts,
+            }
+        )
+        return converted_messages, system_instruction

app/handler/response_handler.py

@@ -1,10 +1,14 @@
-# app/services/chat/response_handler.py
 
+import base64
+import json
+import random
+import string
 from abc import ABC, abstractmethod
-from typing import Dict, Any, Optional
+from typing import Dict, Any, List, Optional
 import time
 import uuid
-from app.core.config import settings
+from app.config.config import settings
+from app.utils.uploader import ImageUploaderFactory
 
 
 class ResponseHandler(ABC):
@@ -29,40 +33,38 @@ class GeminiResponseHandler(ResponseHandler):
 
 
 def _handle_openai_stream_response(response: Dict[str, Any], model: str, finish_reason: str) -> Dict[str, Any]:
-    text = _extract_text(response, model, stream=True)
+    text, tool_calls = _extract_result(response, model, stream=True, gemini_format=False)
+    if not text and not tool_calls:
+        delta = {}
+    else:
+        delta = {"content": text, "role": "assistant"}
+        if tool_calls:
+            delta["tool_calls"] = tool_calls
+
     return {
         "id": f"chatcmpl-{uuid.uuid4()}",
         "object": "chat.completion.chunk",
         "created": int(time.time()),
         "model": model,
-        "choices": [{
-            "index": 0,
-            "delta": {"content": text} if text else {},
-            "finish_reason": finish_reason
-        }]
+        "choices": [{"index": 0, "delta": delta, "finish_reason": finish_reason}],
     }
 
 
 def _handle_openai_normal_response(response: Dict[str, Any], model: str, finish_reason: str) -> Dict[str, Any]:
-    text = _extract_text(response, model, stream=False)
+    text, tool_calls = _extract_result(response, model, stream=False, gemini_format=False)
     return {
         "id": f"chatcmpl-{uuid.uuid4()}",
         "object": "chat.completion",
         "created": int(time.time()),
         "model": model,
-        "choices": [{
-            "index": 0,
-            "message": {
-                "role": "assistant",
-                "content": text
-            },
-            "finish_reason": finish_reason
-        }],
-        "usage": {
-            "prompt_tokens": 0,
-            "completion_tokens": 0,
-            "total_tokens": 0
-        }
+        "choices": [
+            {
+                "index": 0,
+                "message": {"role": "assistant", "content": text, "tool_calls": tool_calls},
+                "finish_reason": finish_reason,
+            }
+        ],
+        "usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
     }
 
 
@@ -127,74 +129,15 @@ def _handle_openai_normal_image_response(image_str: str,model: str,finish_reason
     }
 
 
-def _extract_text(response: Dict[str, Any], model: str, stream: bool = False) -> str:
-    text = ""
+def _extract_result(response: Dict[str, Any], model: str, stream: bool = False, gemini_format: bool = False) -> tuple[str, List[Dict[str, Any]]]:
+    text, tool_calls = "", []
     if stream:
         if response.get("candidates"):
             candidate = response["candidates"][0]
             content = candidate.get("content", {})
             parts = content.get("parts", [])
-            # if "thinking" in model:
-            #     if settings.SHOW_THINKING_PROCESS:
-            #         if len(parts) == 1:
-            #             if self.thinking_first:
-            #                 self.thinking_first = False
-            #                 self.thinking_status = True
-            #                 text = "> thinking\n\n" + parts[0].get("text")
-            #             else:
-            #                 text = parts[0].get("text")
-
-            #         if len(parts) == 2:
-            #             self.thinking_status = False
-            #             if self.thinking_first:
-            #                 self.thinking_first = False
-            #                 text = (
-            #                     "> thinking\n\n"
-            #                     + parts[0].get("text")
-            #                     + "\n\n---\n> output\n\n"
-            #                     + parts[1].get("text")
-            #                 )
-            #             else:
-            #                 text = (
-            #                     parts[0].get("text")
-            #                     + "\n\n---\n> output\n\n"
-            #                     + parts[1].get("text")
-            #                 )
-            #     else:
-            #         if len(parts) == 1:
-            #             if self.thinking_first:
-            #                 self.thinking_first = False
-            #                 self.thinking_status = True
-            #                 text = ""
-            #             elif self.thinking_status:
-            #                 text = ""
-            #             else:
-            #                 text = parts[0].get("text")
-
-            #         if len(parts) == 2:
-            #             self.thinking_status = False
-            #             if self.thinking_first:
-            #                 self.thinking_first = False
-            #                 text = parts[1].get("text")
-            #             else:
-            #                 text = parts[1].get("text")
-            # else:
-            #     if "text" in parts[0]:
-            #         text = parts[0].get("text")
-            #     elif "executableCode" in parts[0]:
-            #         text = _format_code_block(parts[0]["executableCode"])
-            #     elif "codeExecution" in parts[0]:
-            #         text = _format_code_block(parts[0]["codeExecution"])
-            #     elif "executableCodeResult" in parts[0]:
-            #         text = _format_execution_result(
-            #             parts[0]["executableCodeResult"]
-            #         )
-            #     elif "codeExecutionResult" in parts[0]:
-            #         text = _format_execution_result(
-            #             parts[0]["codeExecutionResult"]
-            #         )
-            #     else:
-            #         text = ""
+            if not parts:
+                return "", []
             if "text" in parts[0]:
                 text = parts[0].get("text")
             elif "executableCode" in parts[0]:
@@ -209,9 +152,12 @@ def _extract_text(response: Dict[str, Any], model: str, stream: bool = False) ->
                 text = _format_execution_result(
                     parts[0]["codeExecutionResult"]
                 )
+            elif "inlineData" in parts[0]:
+                text = _extract_image_data(parts[0])
             else:
                 text = ""
             text = _add_search_link_text(model, candidate, text)
+            tool_calls = _extract_tool_calls(parts, gemini_format)
     else:
         if response.get("candidates"):
             candidate = response["candidates"][0]
@@ -232,23 +178,93 @@ def _extract_text(response: Dict[str, Any], model: str, stream: bool = False) ->
                     else:
                         text = candidate["content"]["parts"][0]["text"]
             else:
-                text = candidate["content"]["parts"][0]["text"]
+                text = ""
+                if "parts" in candidate["content"]:
+                    for part in candidate["content"]["parts"]:
+                        if "text" in part:
+                            text += part["text"]
+                        elif "inlineData" in part:
+                            text += _extract_image_data(part)
+
+
             text = _add_search_link_text(model, candidate, text)
+            tool_calls = _extract_tool_calls(candidate["content"]["parts"], gemini_format)
         else:
             text = "暂无返回"
+    return text, tool_calls
+
+def _extract_image_data(part: dict) -> str:
+    image_uploader = None
+    if settings.UPLOAD_PROVIDER == "smms":
+        image_uploader = ImageUploaderFactory.create(provider=settings.UPLOAD_PROVIDER,api_key=settings.SMMS_SECRET_TOKEN)
+    elif settings.UPLOAD_PROVIDER == "picgo":
+        image_uploader = ImageUploaderFactory.create(provider=settings.UPLOAD_PROVIDER,api_key=settings.PICGO_API_KEY)
+    elif settings.UPLOAD_PROVIDER == "cloudflare_imgbed":
+        image_uploader = ImageUploaderFactory.create(provider=settings.UPLOAD_PROVIDER,base_url=settings.CLOUDFLARE_IMGBED_URL,auth_code=settings.CLOUDFLARE_IMGBED_AUTH_CODE)
+    current_date = time.strftime("%Y/%m/%d")
+    filename = f"{current_date}/{uuid.uuid4().hex[:8]}.png"
+    base64_data = part["inlineData"]["data"]
+    #将base64_data转成bytes数组
+    bytes_data = base64.b64decode(base64_data)
+    upload_response = image_uploader.upload(bytes_data,filename)
+    if upload_response.success:
+        text = f"\n\n![image]({upload_response.data.url})\n\n"
+    else:
+        text = ""
     return text
+    
+def _extract_tool_calls(parts: List[Dict[str, Any]], gemini_format: bool) -> List[Dict[str, Any]]:
+    """提取工具调用信息"""
+    if not parts or not isinstance(parts, list):
+        return []
+
+    letters = string.ascii_lowercase + string.digits
+
+    tool_calls = list()
+    for i in range(len(parts)):
+        part = parts[i]
+        if not part or not isinstance(part, dict):
+            continue
+
+        item = part.get("functionCall", {})
+        if not item or not isinstance(item, dict):
+            continue
+
+        if gemini_format:
+            tool_calls.append(part)
+        else:
+            id = f"call_{''.join(random.sample(letters, 32))}"
+            name = item.get("name", "")
+            arguments = json.dumps(item.get("args", None) or {})
+
+            tool_calls.append(
+                {
+                    "index": i,
+                    "id": id,
+                    "type": "function",
+                    "function": {"name": name, "arguments": arguments},
+                }
+            )
+
+    return tool_calls
 
 
 def _handle_gemini_stream_response(response: Dict[str, Any], model: str, stream: bool) -> Dict[str, Any]:
-    text = _extract_text(response, model, stream=stream)
-    content = {"parts": [{"text": text}], "role": "model"}
+    text, tool_calls = _extract_result(response, model, stream=stream, gemini_format=True)
+    if tool_calls:
+        content = {"parts": tool_calls, "role": "model"}
+    else:
+        content = {"parts": [{"text": text}], "role": "model"}
     response["candidates"][0]["content"] = content
     return response
 
 
 def _handle_gemini_normal_response(response: Dict[str, Any], model: str, stream: bool) -> Dict[str, Any]:
-    text = _extract_text(response, model, stream=stream)
-    content = {"parts": [{"text": text}], "role": "model"}
+    text, tool_calls = _extract_result(response, model, stream=stream, gemini_format=True)
+    if tool_calls:
+        content = {"parts": tool_calls, "role": "model"}
+    else:
+        content = {"parts": [{"text": text}], "role": "model"}
     response["candidates"][0]["content"] = content
     return response
 

app/handler/retry_handler.py

@@ -0,0 +1,51 @@
+
+from functools import wraps
+from typing import Callable, TypeVar
+
+from app.core.constants import MAX_RETRIES
+from app.log.logger import get_retry_logger
+
+T = TypeVar("T")
+logger = get_retry_logger()
+
+
+class RetryHandler:
+    """重试处理装饰器"""
+
+    def __init__(self, max_retries: int = MAX_RETRIES, key_arg: str = "api_key"):
+        self.max_retries = max_retries
+        self.key_arg = key_arg
+
+    def __call__(self, func: Callable[..., T]) -> Callable[..., T]:
+        @wraps(func)
+        async def wrapper(*args, **kwargs) -> T:
+            last_exception = None
+
+            for attempt in range(self.max_retries):
+                retries = attempt + 1
+                try:
+                    return await func(*args, **kwargs)
+                except Exception as e:
+                    last_exception = e
+                    logger.warning(
+                        f"API call failed with error: {str(e)}. Attempt {retries} of {self.max_retries}"
+                    )
+
+                    # 从函数参数中获取 key_manager
+                    key_manager = kwargs.get("key_manager")
+                    if key_manager:
+                        old_key = kwargs.get(self.key_arg)
+                        new_key = await key_manager.handle_api_failure(old_key, retries)
+                        if new_key:
+                            kwargs[self.key_arg] = new_key
+                            logger.info(f"Switched to new API key: {new_key}")
+                        else:
+                            logger.error(f"No valid API key available after {retries} retries.")
+                            break
+
+            logger.error(
+                f"All retry attempts failed, raising final exception: {str(last_exception)}"
+            )
+            raise last_exception
+
+        return wrapper

app/handler/stream_optimizer.py

@@ -0,0 +1,143 @@
+
+import asyncio
+import math
+from typing import Any, AsyncGenerator, Callable, List
+
+from app.config.config import settings
+from app.core.constants import (
+    DEFAULT_STREAM_CHUNK_SIZE,
+    DEFAULT_STREAM_LONG_TEXT_THRESHOLD,
+    DEFAULT_STREAM_MAX_DELAY,
+    DEFAULT_STREAM_MIN_DELAY,
+    DEFAULT_STREAM_SHORT_TEXT_THRESHOLD,
+)
+from app.log.logger import get_gemini_logger, get_openai_logger
+
+logger_openai = get_openai_logger()
+logger_gemini = get_gemini_logger()
+
+
+class StreamOptimizer:
+    """流式输出优化器
+
+    提供流式输出优化功能，包括智能延迟调整和长文本分块输出。
+    """
+
+    def __init__(
+        self,
+        logger=None,
+        min_delay: float = DEFAULT_STREAM_MIN_DELAY,
+        max_delay: float = DEFAULT_STREAM_MAX_DELAY,
+        short_text_threshold: int = DEFAULT_STREAM_SHORT_TEXT_THRESHOLD,
+        long_text_threshold: int = DEFAULT_STREAM_LONG_TEXT_THRESHOLD,
+        chunk_size: int = DEFAULT_STREAM_CHUNK_SIZE,
+    ):
+        """初始化流式输出优化器
+
+        参数:
+            logger: 日志记录器
+            min_delay: 最小延迟时间（秒）
+            max_delay: 最大延迟时间（秒）
+            short_text_threshold: 短文本阈值（字符数）
+            long_text_threshold: 长文本阈值（字符数）
+            chunk_size: 长文本分块大小（字符数）
+        """
+        self.logger = logger
+        self.min_delay = min_delay
+        self.max_delay = max_delay
+        self.short_text_threshold = short_text_threshold
+        self.long_text_threshold = long_text_threshold
+        self.chunk_size = chunk_size
+
+    def calculate_delay(self, text_length: int) -> float:
+        """根据文本长度计算延迟时间
+
+        参数:
+            text_length: 文本长度
+
+        返回:
+            延迟时间（秒）
+        """
+        if text_length <= self.short_text_threshold:
+            # 短文本使用较大延迟
+            return self.max_delay
+        elif text_length >= self.long_text_threshold:
+            # 长文本使用较小延迟
+            return self.min_delay
+        else:
+            # 中等长度文本使用线性插值计算延迟
+            # 使用对数函数使延迟变化更平滑
+            ratio = math.log(text_length / self.short_text_threshold) / math.log(
+                self.long_text_threshold / self.short_text_threshold
+            )
+            return self.max_delay - ratio * (self.max_delay - self.min_delay)
+
+    def split_text_into_chunks(self, text: str) -> List[str]:
+        """将文本分割成小块
+
+        参数:
+            text: 要分割的文本
+
+        返回:
+            文本块列表
+        """
+        return [
+            text[i : i + self.chunk_size] for i in range(0, len(text), self.chunk_size)
+        ]
+
+    async def optimize_stream_output(
+        self,
+        text: str,
+        create_response_chunk: Callable[[str], Any],
+        format_chunk: Callable[[Any], str],
+    ) -> AsyncGenerator[str, None]:
+        """优化流式输出
+
+        参数:
+            text: 要输出的文本
+            create_response_chunk: 创建响应块的函数，接收文本，返回响应块
+            format_chunk: 格式化响应块的函数，接收响应块，返回格式化后的字符串
+
+        返回:
+            异步生成器，生成格式化后的响应块
+        """
+        if not text:
+            return
+
+        # 计算智能延迟时间
+        delay = self.calculate_delay(len(text))
+
+        # 根据文本长度决定输出方式
+        if len(text) >= self.long_text_threshold:
+            # 长文本：分块输出
+            chunks = self.split_text_into_chunks(text)
+            for chunk_text in chunks:
+                chunk_response = create_response_chunk(chunk_text)
+                yield format_chunk(chunk_response)
+                await asyncio.sleep(delay)
+        else:
+            # 短文本：逐字符输出
+            for char in text:
+                char_chunk = create_response_chunk(char)
+                yield format_chunk(char_chunk)
+                await asyncio.sleep(delay)
+
+
+# 创建默认的优化器实例，可以直接导入使用
+openai_optimizer = StreamOptimizer(
+    logger=logger_openai,
+    min_delay=settings.STREAM_MIN_DELAY,
+    max_delay=settings.STREAM_MAX_DELAY,
+    short_text_threshold=settings.STREAM_SHORT_TEXT_THRESHOLD,
+    long_text_threshold=settings.STREAM_LONG_TEXT_THRESHOLD,
+    chunk_size=settings.STREAM_CHUNK_SIZE,
+)
+
+gemini_optimizer = StreamOptimizer(
+    logger=logger_gemini,
+    min_delay=settings.STREAM_MIN_DELAY,
+    max_delay=settings.STREAM_MAX_DELAY,
+    short_text_threshold=settings.STREAM_SHORT_TEXT_THRESHOLD,
+    long_text_threshold=settings.STREAM_LONG_TEXT_THRESHOLD,
+    chunk_size=settings.STREAM_CHUNK_SIZE,
+)

app/log/logger.py

@@ -0,0 +1,208 @@
+import logging
+import platform
+import sys
+from typing import Dict, Optional
+
+# ANSI转义序列颜色代码
+COLORS = {
+    "DEBUG": "\033[34m",  # 蓝色
+    "INFO": "\033[32m",  # 绿色
+    "WARNING": "\033[33m",  # 黄色
+    "ERROR": "\033[31m",  # 红色
+    "CRITICAL": "\033[1;31m",  # 红色加粗
+}
+
+# Windows系统启用ANSI支持
+if platform.system() == "Windows":
+    import ctypes
+
+    kernel32 = ctypes.windll.kernel32
+    kernel32.SetConsoleMode(kernel32.GetStdHandle(-11), 7)
+
+
+class ColoredFormatter(logging.Formatter):
+    """
+    自定义的日志格式化器,添加颜色支持
+    """
+
+    def format(self, record):
+        # 获取对应级别的颜色代码
+        color = COLORS.get(record.levelname, "")
+        # 添加颜色代码和重置代码
+        record.levelname = f"{color}{record.levelname}\033[0m"
+        # 创建包含文件名和行号的固定宽度字符串
+        record.fileloc = f"[{record.filename}:{record.lineno}]"
+        return super().format(record)
+
+
+# 日志格式 - 使用 fileloc 并设置固定宽度 (例如 30)
+FORMATTER = ColoredFormatter(
+    "%(asctime)s | %(levelname)-17s | %(fileloc)-30s | %(message)s"
+)
+
+# 日志级别映射
+LOG_LEVELS = {
+    "debug": logging.DEBUG,
+    "info": logging.INFO,
+    "warning": logging.WARNING,
+    "error": logging.ERROR,
+    "critical": logging.CRITICAL,
+}
+
+
+class Logger:
+    def __init__(self):
+        pass
+
+    _loggers: Dict[str, logging.Logger] = {}
+
+    @staticmethod
+    def setup_logger(name: str) -> logging.Logger:
+        """
+        设置并获取logger
+        :param name: logger名称
+        :return: logger实例
+        """
+        # 导入 settings 对象
+        from app.config.config import settings
+
+        # 从全局配置获取日志级别
+        log_level_str = settings.LOG_LEVEL.lower()
+        level = LOG_LEVELS.get(log_level_str, logging.INFO)
+
+        if name in Logger._loggers:
+            # 如果 logger 已存在，检查并更新其级别（如果需要）
+            existing_logger = Logger._loggers[name]
+            if existing_logger.level != level:
+                existing_logger.setLevel(level)
+            return existing_logger
+
+        logger = logging.getLogger(name)
+        logger.setLevel(level)
+        logger.propagate = False
+
+        # 添加控制台输出
+        console_handler = logging.StreamHandler(sys.stdout)
+        console_handler.setFormatter(FORMATTER)
+        logger.addHandler(console_handler)
+
+        Logger._loggers[name] = logger
+        return logger
+
+    @staticmethod
+    def get_logger(name: str) -> Optional[logging.Logger]:
+        """
+        获取已存在的logger
+        :param name: logger名称
+        :return: logger实例或None
+        """
+        return Logger._loggers.get(name)
+
+    @staticmethod
+    def update_log_levels(log_level: str):
+        """
+        根据当前的全局配置更新所有已创建 logger 的日志级别。
+        """
+        log_level_str = log_level.lower()
+        new_level = LOG_LEVELS.get(log_level_str, logging.INFO)
+
+        updated_count = 0
+        for logger_name, logger_instance in Logger._loggers.items():
+            if logger_instance.level != new_level:
+                logger_instance.setLevel(new_level)
+                # 可选：记录级别变更日志，但注意避免在日志模块内部产生过多日志
+                # print(f"Updated log level for logger '{logger_name}' to {log_level_str.upper()}")
+                updated_count += 1
+
+
+# 预定义的loggers
+def get_openai_logger():
+    return Logger.setup_logger("openai")
+
+
+def get_gemini_logger():
+    return Logger.setup_logger("gemini")
+
+
+def get_chat_logger():
+    return Logger.setup_logger("chat")
+
+
+def get_model_logger():
+    return Logger.setup_logger("model")
+
+
+def get_security_logger():
+    return Logger.setup_logger("security")
+
+
+def get_key_manager_logger():
+    return Logger.setup_logger("key_manager")
+
+
+def get_main_logger():
+    return Logger.setup_logger("main")
+
+
+def get_embeddings_logger():
+    return Logger.setup_logger("embeddings")
+
+
+def get_request_logger():
+    return Logger.setup_logger("request")
+
+
+def get_retry_logger():
+    return Logger.setup_logger("retry")
+
+
+def get_image_create_logger():
+    return Logger.setup_logger("image_create")
+
+
+def get_exceptions_logger():
+    return Logger.setup_logger("exceptions")
+
+
+def get_application_logger():
+    return Logger.setup_logger("application")
+
+
+def get_initialization_logger():
+    return Logger.setup_logger("initialization")
+
+
+def get_middleware_logger():
+    return Logger.setup_logger("middleware")
+
+
+def get_routes_logger():
+    return Logger.setup_logger("routes")
+
+
+def get_config_routes_logger():
+    return Logger.setup_logger("config_routes")
+
+
+def get_config_logger():
+    return Logger.setup_logger("config")
+
+
+def get_database_logger():
+    return Logger.setup_logger("database")
+
+
+def get_log_routes_logger():
+    return Logger.setup_logger("log_routes")
+
+
+def get_stats_logger():
+    return Logger.setup_logger("stats")
+
+
+def get_update_logger():
+    return Logger.setup_logger("update_service")
+
+
+def get_scheduler_routes():
+    return Logger.setup_logger("scheduler_routes")

app/main.py

@@ -1,134 +1,11 @@
-from fastapi import FastAPI, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import HTMLResponse, RedirectResponse
-from fastapi.templating import Jinja2Templates
-from fastapi.staticfiles import StaticFiles
-from app.core.logger import get_main_logger
-from app.core.security import verify_auth_token
-from app.services.key_manager import get_key_manager_instance
-from app.core.config import settings
-
-from app.api import gemini_routes, openai_routes
 import uvicorn
 
+from app.core.application import create_app
+from app.log.logger import get_main_logger
 
-# 配置日志
-logger = get_main_logger()
+app = create_app()
 
-app = FastAPI()
-
-# 配置Jinja2模板
-templates = Jinja2Templates(directory="app/templates")
-
-# 配置静态文件
-app.mount("/static", StaticFiles(directory="app/static"), name="static")
-
-# 创建 KeyManager 实例
-key_manager = None
-
-@app.on_event("startup")
-async def startup_event():
-    global key_manager
-    logger.info("Application starting up...")
-    try:
-        key_manager = await get_key_manager_instance(settings.API_KEYS)
-        logger.info("KeyManager initialized successfully")
-    except Exception as e:
-        logger.error(f"Failed to initialize KeyManager: {str(e)}")
-        raise
-
-# 添加中间件来处理未经身份验证的请求
-@app.middleware("http")
-async def auth_middleware(request: Request, call_next):
-    # 允许 gemini_routes 和 openai_routes 中的端点绕过身份验证
-    if (request.url.path not in ["/", "/auth"] and 
-        not request.url.path.startswith("/static") and
-        not request.url.path.startswith("/gemini") and
-        not request.url.path.startswith("/v1") and
-        not request.url.path.startswith("/v1beta") and
-        not request.url.path.startswith("/health") and
-        not request.url.path.startswith("/hf")):
-        auth_token = request.cookies.get("auth_token")
-        if not auth_token or not verify_auth_token(auth_token):
-            logger.warning(f"Unauthorized access attempt to {request.url.path}")
-            return RedirectResponse(url="/")
-        logger.debug("Request authenticated successfully")
-    response = await call_next(request)
-    return response
-
-# 添加请求日志中间件
-# app.add_middleware(RequestLoggingMiddleware)
-
-# 配置CORS中间件
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],  # 生产环境建议配置具体的域名
-    allow_credentials=True,
-    allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],  # 明确指定允许的HTTP方法
-    allow_headers=["*"],  # 生产环境建议配置具体的请求头
-    expose_headers=["*"],  # 允许前端访问的响应头
-    max_age=600,  # 预检请求缓存时间(秒)
-)
-
-# 包含所有路由
-app.include_router(openai_routes.router)
-app.include_router(gemini_routes.router)
-app.include_router(gemini_routes.router_v1beta)
-
-
-@app.get("/", response_class=HTMLResponse)
-async def auth_page(request: Request):
-    return templates.TemplateResponse("auth.html", {"request": request})
-
-
-@app.post("/auth")
-async def authenticate(request: Request):
-    try:
-        form = await request.form()
-        auth_token = form.get("auth_token")
-        if not auth_token:
-            logger.warning("Authentication attempt with empty token")
-            return RedirectResponse(url="/", status_code=302)
-        
-        if verify_auth_token(auth_token):
-            logger.info("Successful authentication")
-            response = RedirectResponse(url="/keys", status_code=302)
-            response.set_cookie(key="auth_token", value=auth_token, httponly=True, max_age=3600)
-            return response
-        logger.warning("Failed authentication attempt with invalid token")
-        return RedirectResponse(url="/", status_code=302)
-    except Exception as e:
-        logger.error(f"Authentication error: {str(e)}")
-        return RedirectResponse(url="/", status_code=302)
-
-@app.get("/keys", response_class=HTMLResponse)
-async def keys_page(request: Request):
-    try:
-        auth_token = request.cookies.get("auth_token")
-        if not auth_token or not verify_auth_token(auth_token):
-            logger.warning("Unauthorized access attempt to keys page")
-            return RedirectResponse(url="/", status_code=302)
-        
-        keys_status = await key_manager.get_keys_by_status()
-        total = len(keys_status["valid_keys"]) + len(keys_status["invalid_keys"])
-        logger.info(f"Keys status retrieved successfully. Total keys: {total}")
-        return templates.TemplateResponse("keys_status.html", {
-            "request": request,
-            "valid_keys": keys_status["valid_keys"],
-            "invalid_keys": keys_status["invalid_keys"],
-            "total": total
-        })
-    except Exception as e:
-        logger.error(f"Error retrieving keys status: {str(e)}")
-        raise
-
-
-@app.get("/health")
-async def health_check(request: Request):
-    logger.info("Health check endpoint called")
-    return {"status": "healthy"}
-    
-    
 if __name__ == "__main__":
+    logger = get_main_logger()
     logger.info("Starting application server...")
     uvicorn.run(app, host="0.0.0.0", port=8001)

app/middleware/middleware.py

@@ -0,0 +1,73 @@
+"""
+中间件配置模块，负责设置和配置应用程序的中间件
+"""
+
+from fastapi import FastAPI, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import RedirectResponse
+from starlette.middleware.base import BaseHTTPMiddleware
+
+# from app.middleware.request_logging_middleware import RequestLoggingMiddleware
+from app.core.constants import API_VERSION
+from app.core.security import verify_auth_token
+from app.log.logger import get_middleware_logger
+
+logger = get_middleware_logger()
+
+
+class AuthMiddleware(BaseHTTPMiddleware):
+    """
+    认证中间件，处理未经身份验证的请求
+    """
+
+    async def dispatch(self, request: Request, call_next):
+        # 允许特定路径绕过身份验证
+        if (
+            request.url.path not in ["/", "/auth"]
+            and not request.url.path.startswith("/static")
+            and not request.url.path.startswith("/gemini")
+            and not request.url.path.startswith("/v1")
+            and not request.url.path.startswith(f"/{API_VERSION}")
+            and not request.url.path.startswith("/health")
+            and not request.url.path.startswith("/hf")
+        ):
+
+            auth_token = request.cookies.get("auth_token")
+            if not auth_token or not verify_auth_token(auth_token):
+                logger.warning(f"Unauthorized access attempt to {request.url.path}")
+                return RedirectResponse(url="/")
+            logger.debug("Request authenticated successfully")
+
+        response = await call_next(request)
+        return response
+
+
+def setup_middlewares(app: FastAPI) -> None:
+    """
+    设置应用程序的中间件
+
+    Args:
+        app: FastAPI应用程序实例
+    """
+    # 添加认证中间件
+    app.add_middleware(AuthMiddleware)
+
+    # 添加请求日志中间件（可选，默认注释掉）
+    # app.add_middleware(RequestLoggingMiddleware)
+
+    # 配置CORS中间件
+    app.add_middleware(
+        CORSMiddleware,
+        allow_origins=["*"],  # 生产环境建议配置具体的域名
+        allow_credentials=True,
+        allow_methods=[
+            "GET",
+            "POST",
+            "PUT",
+            "DELETE",
+            "OPTIONS",
+        ],  # 明确指定允许的HTTP方法
+        allow_headers=["*"],  # 生产环境建议配置具体的请求头
+        expose_headers=["*"],  # 允许前端访问的响应头
+        max_age=600,  # 预检请求缓存时间(秒)
+    )

app/middleware/request_logging_middleware.py

@@ -1,7 +1,9 @@
+import json
+
 from fastapi import Request
 from starlette.middleware.base import BaseHTTPMiddleware
-import json
-from app.core.logger import get_request_logger
+
+from app.log.logger import get_request_logger
 
 logger = get_request_logger()
 
@@ -20,9 +22,11 @@ class RequestLoggingMiddleware(BaseHTTPMiddleware):
                 # 尝试格式化JSON
                 try:
                     formatted_body = json.loads(body_str)
-                    logger.info(f"Formatted request body:\n{json.dumps(formatted_body, indent=2, ensure_ascii=False)}")
+                    logger.info(
+                        f"Formatted request body:\n{json.dumps(formatted_body, indent=2, ensure_ascii=False)}"
+                    )
                 except json.JSONDecodeError:
-                    logger.info("Request body is not valid JSON.")
+                    logger.error("Request body is not valid JSON.")
         except Exception as e:
             logger.error(f"Error reading request body: {str(e)}")
 

app/router/config_routes.py

@@ -0,0 +1,53 @@
+"""
+配置路由模块
+"""
+from typing import Any, Dict
+from fastapi import APIRouter, HTTPException, Request
+from fastapi.responses import RedirectResponse
+
+from app.core.security import verify_auth_token
+from app.log.logger import get_config_routes_logger, Logger # 导入 Logger 类
+from app.service.config.config_service import ConfigService
+
+# 创建路由
+router = APIRouter(prefix="/api/config", tags=["config"])
+
+logger = get_config_routes_logger()
+
+
+@router.get("", response_model=Dict[str, Any])
+async def get_config(request: Request):
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning("Unauthorized access attempt to config page")
+        return RedirectResponse(url="/", status_code=302)
+    return await ConfigService.get_config()
+
+
+@router.put("", response_model=Dict[str, Any])
+async def update_config(config_data: Dict[str, Any], request: Request):
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning("Unauthorized access attempt to config page")
+        return RedirectResponse(url="/", status_code=302)
+    try:
+        result = await ConfigService.update_config(config_data)
+        # 配置更新成功后，立即更新所有 logger 的级别
+        Logger.update_log_levels(config_data["LOG_LEVEL"])
+        logger.info("Log levels updated after configuration change.") # 添加日志记录
+        return result
+    except Exception as e:
+        logger.error(f"Error updating config or log levels: {e}", exc_info=True) # 记录详细错误
+        raise HTTPException(status_code=400, detail=str(e))
+
+
+@router.post("/reset", response_model=Dict[str, Any])
+async def reset_config(request: Request):
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning("Unauthorized access attempt to config page")
+        return RedirectResponse(url="/", status_code=302)
+    try:
+        return await ConfigService.reset_config()
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))

app/router/gemini_routes.py

@@ -0,0 +1,400 @@
+from fastapi import APIRouter, Depends, HTTPException
+from fastapi.responses import StreamingResponse, JSONResponse
+from copy import deepcopy
+from app.config.config import settings
+from app.log.logger import get_gemini_logger
+from app.core.security import SecurityService
+import asyncio # 导入 asyncio
+from app.domain.gemini_models import GeminiContent, GeminiRequest, ResetSelectedKeysRequest, VerifySelectedKeysRequest # 添加导入
+from app.service.chat.gemini_chat_service import GeminiChatService
+from app.service.key.key_manager import KeyManager, get_key_manager_instance
+from app.service.model.model_service import ModelService
+from app.handler.retry_handler import RetryHandler
+from app.core.constants import API_VERSION
+
+# 路由设置
+router = APIRouter(prefix=f"/gemini/{API_VERSION}")
+router_v1beta = APIRouter(prefix=f"/{API_VERSION}")
+logger = get_gemini_logger()
+
+# 初始化服务
+security_service = SecurityService()
+model_service = ModelService()
+
+
+async def get_key_manager():
+    """获取密钥管理器实例"""
+    return await get_key_manager_instance()
+
+
+async def get_next_working_key(key_manager: KeyManager = Depends(get_key_manager)):
+    """获取下一个可用的API密钥"""
+    return await key_manager.get_next_working_key()
+
+
+async def get_chat_service(key_manager: KeyManager = Depends(get_key_manager)):
+    """获取Gemini聊天服务实例"""
+    return GeminiChatService(settings.BASE_URL, key_manager)
+
+
+@router.get("/models")
+@router_v1beta.get("/models")
+async def list_models(
+    _=Depends(security_service.verify_key_or_goog_api_key),
+    key_manager: KeyManager = Depends(get_key_manager)
+):
+    """获取可用的Gemini模型列表"""
+    logger.info("-" * 50 + "list_gemini_models" + "-" * 50)
+    logger.info("Handling Gemini models list request")
+    
+    api_key = await key_manager.get_first_valid_key()
+    logger.info(f"Using API key: {api_key}")
+    
+    models_json = model_service.get_gemini_models(api_key)
+    model_mapping = {x.get("name", "").split("/", maxsplit=1)[1]: x for x in models_json["models"]}
+    
+    # 添加搜索模型
+    if settings.SEARCH_MODELS:
+        for name in settings.SEARCH_MODELS:
+            model = model_mapping.get(name)
+            if not model:
+                continue
+                
+            item = deepcopy(model)
+            item["name"] = f"models/{name}-search"
+            display_name = f'{item.get("displayName")} For Search'
+            item["displayName"] = display_name
+            item["description"] = display_name
+            
+            models_json["models"].append(item)
+    
+    # 添加图像生成模型
+    if settings.IMAGE_MODELS:
+        for name in settings.IMAGE_MODELS:
+            model = model_mapping.get(name)
+            if not model:
+                continue
+                
+            item = deepcopy(model)
+            item["name"] = f"models/{name}-image"
+            display_name = f'{item.get("displayName")} For Image'
+            item["displayName"] = display_name
+            item["description"] = display_name
+            
+            models_json["models"].append(item)
+            
+    # 添加思考模型的非思考版本
+    if settings.THINKING_MODELS:
+        for name in settings.THINKING_MODELS:
+            model = model_mapping.get(name)
+            if not model:
+                continue
+                
+            item = deepcopy(model)
+            item["name"] = f"models/{name}-non-thinking"
+            display_name = f'{item.get("displayName")} Non Thinking'
+            item["displayName"] = display_name
+            item["description"] = display_name
+            
+            models_json["models"].append(item)
+            
+    return models_json
+
+
+@router.post("/models/{model_name}:generateContent")
+@router_v1beta.post("/models/{model_name}:generateContent")
+@RetryHandler(max_retries=settings.MAX_RETRIES, key_arg="api_key")
+async def generate_content(
+    model_name: str,
+    request: GeminiRequest,
+    _=Depends(security_service.verify_key_or_goog_api_key),
+    api_key: str = Depends(get_next_working_key),
+    key_manager: KeyManager = Depends(get_key_manager),
+    chat_service: GeminiChatService = Depends(get_chat_service)
+):
+    """非流式生成内容"""
+    logger.info("-" * 50 + "gemini_generate_content" + "-" * 50)
+    logger.info(f"Handling Gemini content generation request for model: {model_name}")
+    logger.debug(f"Request: \n{request.model_dump_json(indent=2)}")
+    logger.info(f"Using API key: {api_key}")
+    
+    if not model_service.check_model_support(model_name):
+        raise HTTPException(status_code=400, detail=f"Model {model_name} is not supported")
+    
+    try:
+        response = await chat_service.generate_content(
+            model=model_name,
+            request=request,
+            api_key=api_key
+        )
+        return response
+    except Exception as e:
+        logger.error(f"Chat completion failed after retries: {str(e)}")
+        raise HTTPException(status_code=500, detail="Chat completion failed") from e
+
+
+@router.post("/models/{model_name}:streamGenerateContent")
+@router_v1beta.post("/models/{model_name}:streamGenerateContent")
+@RetryHandler(max_retries=settings.MAX_RETRIES, key_arg="api_key")
+async def stream_generate_content(
+    model_name: str,
+    request: GeminiRequest,
+    _=Depends(security_service.verify_key_or_goog_api_key),
+    api_key: str = Depends(get_next_working_key),
+    key_manager: KeyManager = Depends(get_key_manager),
+    chat_service: GeminiChatService = Depends(get_chat_service)
+):
+    """流式生成内容"""
+    logger.info("-" * 50 + "gemini_stream_generate_content" + "-" * 50)
+    logger.info(f"Handling Gemini streaming content generation for model: {model_name}")
+    logger.debug(f"Request: \n{request.model_dump_json(indent=2)}")
+    logger.info(f"Using API key: {api_key}")
+    
+    if not model_service.check_model_support(model_name):
+        raise HTTPException(status_code=400, detail=f"Model {model_name} is not supported")
+    
+    try:
+        response_stream = chat_service.stream_generate_content(
+            model=model_name,
+            request=request,
+            api_key=api_key
+        )
+        return StreamingResponse(response_stream, media_type="text/event-stream")
+    except Exception as e:
+        logger.error(f"Streaming request failed: {str(e)}")
+        raise HTTPException(status_code=500, detail="Streaming request failed") from e
+
+@router.post("/reset-all-fail-counts")
+async def reset_all_key_fail_counts(key_type: str = None, key_manager: KeyManager = Depends(get_key_manager)):
+    """批量重置Gemini API密钥的失败计数，可选择性地仅重置有效或无效密钥"""
+    logger.info("-" * 50 + "reset_all_gemini_key_fail_counts" + "-" * 50)
+    logger.info(f"Received reset request with key_type: {key_type}")
+    
+    try:
+        # 获取分类后的密钥
+        keys_by_status = await key_manager.get_keys_by_status()
+        valid_keys = keys_by_status.get("valid_keys", {})
+        invalid_keys = keys_by_status.get("invalid_keys", {})
+        
+        # 根据类型选择要重置的密钥
+        keys_to_reset = []
+        if key_type == "valid":
+            keys_to_reset = list(valid_keys.keys())
+            logger.info(f"Resetting only valid keys, count: {len(keys_to_reset)}")
+        elif key_type == "invalid":
+            keys_to_reset = list(invalid_keys.keys())
+            logger.info(f"Resetting only invalid keys, count: {len(keys_to_reset)}")
+        else:
+            # 重置所有密钥
+            await key_manager.reset_failure_counts()
+            return JSONResponse({"success": True, "message": "所有密钥的失败计数已重置"})
+        
+        # 批量重置指定类型的密钥
+        for key in keys_to_reset:
+            await key_manager.reset_key_failure_count(key)
+        
+        return JSONResponse({
+            "success": True,
+            "message": f"{key_type}密钥的失败计数已重置",
+            "reset_count": len(keys_to_reset)
+        })
+    except Exception as e:
+        logger.error(f"Failed to reset key failure counts: {str(e)}")
+        return JSONResponse({"success": False, "message": f"批量重置失败: {str(e)}"}, status_code=500)
+    
+    
+@router.post("/reset-selected-fail-counts")
+async def reset_selected_key_fail_counts(
+    request: ResetSelectedKeysRequest,
+    key_manager: KeyManager = Depends(get_key_manager)
+):
+    """批量重置选定Gemini API密钥的失败计数"""
+    logger.info("-" * 50 + "reset_selected_gemini_key_fail_counts" + "-" * 50)
+    keys_to_reset = request.keys
+    key_type = request.key_type # 获取类型用于日志记录和响应消息
+    logger.info(f"Received reset request for {len(keys_to_reset)} selected {key_type} keys.")
+
+    if not keys_to_reset:
+        return JSONResponse({"success": False, "message": "没有提供需要重置的密钥"}, status_code=400)
+
+    reset_count = 0
+    errors = []
+
+    try:
+        for key in keys_to_reset:
+            try:
+                result = await key_manager.reset_key_failure_count(key)
+                if result:
+                    reset_count += 1
+                else:
+                    # 记录未找到的密钥，但不视为致命错误
+                    logger.warning(f"Key not found during selective reset: {key}")
+            except Exception as key_error:
+                # 记录单个密钥重置时的错误
+                logger.error(f"Error resetting key {key}: {str(key_error)}")
+                errors.append(f"Key {key}: {str(key_error)}")
+
+        if errors:
+             # 如果有错误，报告部分成功或完全失败
+             error_message = f"批量重置完成，但出现错误: {'; '.join(errors)}"
+             # 确定最终状态码和成功标志
+             final_success = reset_count > 0
+             status_code = 207 if final_success and errors else 500 # 207 Multi-Status if partially successful, 500 if completely failed
+             return JSONResponse({
+                 "success": final_success,
+                 "message": error_message,
+                 "reset_count": reset_count
+             }, status_code=status_code)
+
+        # 完全成功的情况
+        return JSONResponse({
+            "success": True,
+            "message": f"成功重置 {reset_count} 个选定 {key_type} 密钥的失败计数",
+            "reset_count": reset_count
+        })
+    except Exception as e:
+        # 捕获循环外的意外错误
+        logger.error(f"Failed to process reset selected key failure counts request: {str(e)}")
+        return JSONResponse({"success": False, "message": f"批量重置处理失败: {str(e)}"}, status_code=500)
+
+
+
+@router.post("/reset-fail-count/{api_key}")
+async def reset_key_fail_count(api_key: str, key_manager: KeyManager = Depends(get_key_manager)):
+    """重置指定Gemini API密钥的失败计数"""
+    logger.info("-" * 50 + "reset_gemini_key_fail_count" + "-" * 50)
+    logger.info(f"Resetting failure count for API key: {api_key}")
+    
+    try:
+        result = await key_manager.reset_key_failure_count(api_key)
+        if result:
+            return JSONResponse({"success": True, "message": "失败计数已重置"})
+        return JSONResponse({"success": False, "message": "未找到指定密钥"}, status_code=404)
+    except Exception as e:
+        logger.error(f"Failed to reset key failure count: {str(e)}")
+        return JSONResponse({"success": False, "message": f"重置失败: {str(e)}"}, status_code=500)
+
+@router.post("/verify-key/{api_key}")
+async def verify_key(api_key: str, chat_service: GeminiChatService = Depends(get_chat_service), key_manager: KeyManager = Depends(get_key_manager)):
+    """验证Gemini API密钥的有效性"""
+    logger.info("-" * 50 + "verify_gemini_key" + "-" * 50)
+    logger.info("Verifying API key validity")
+    
+    try:
+        # 使用generate_content接口测试key的有效性
+        gemini_request = GeminiRequest(
+            contents=[
+                GeminiContent(
+                    role="user",
+                    parts=[{"text": "hi"}]
+                )
+            ]
+        )
+        
+        response = await chat_service.generate_content(
+            settings.TEST_MODEL,
+            gemini_request,
+            api_key
+        )
+        
+        if response:
+            return JSONResponse({"status": "valid"})        
+    except Exception as e:
+        logger.error(f"Key verification failed: {str(e)}")
+        
+        # 验证出现异常时增加失败计数
+        async with key_manager.failure_count_lock:
+            if api_key in key_manager.key_failure_counts:
+                key_manager.key_failure_counts[api_key] += 1
+                logger.warning(f"Verification exception for key: {api_key}, incrementing failure count")
+        
+        return JSONResponse({"status": "invalid", "error": str(e)})
+
+
+@router.post("/verify-selected-keys")
+async def verify_selected_keys(
+    request: VerifySelectedKeysRequest,
+    chat_service: GeminiChatService = Depends(get_chat_service),
+    key_manager: KeyManager = Depends(get_key_manager)
+):
+    """批量验证选定Gemini API密钥的有效性"""
+    logger.info("-" * 50 + "verify_selected_gemini_keys" + "-" * 50)
+    keys_to_verify = request.keys
+    logger.info(f"Received verification request for {len(keys_to_verify)} selected keys.")
+
+    if not keys_to_verify:
+        return JSONResponse({"success": False, "message": "没有提供需要验证的密钥"}, status_code=400)
+
+    valid_count = 0
+    invalid_count = 0
+    verification_errors = {} # 存储验证过程中的错误
+
+    async def _verify_single_key(api_key: str):
+        """内部函数，用于验证单个密钥并处理异常"""
+        nonlocal valid_count, invalid_count # 允许修改外部计数器
+        try:
+            # 重用单密钥验证逻辑的核心部分
+            gemini_request = GeminiRequest(
+                contents=[GeminiContent(role="user", parts=[{"text": "hi"}])]
+            )
+            # 注意：这里直接调用 chat_service.generate_content，不依赖于 key_manager 获取密钥
+            await chat_service.generate_content(
+                settings.TEST_MODEL,
+                gemini_request,
+                api_key
+            )
+            # 如果上面没有抛出异常，则认为密钥有效
+            valid_count += 1
+            return api_key, "valid", None
+        except Exception as e:
+            error_message = str(e)
+            logger.warning(f"Key verification failed for {api_key}: {error_message}")
+            # 验证失败时增加失败计数 (使用与 /verify-key 一致的逻辑)
+            async with key_manager.failure_count_lock:
+                if api_key in key_manager.key_failure_counts:
+                    key_manager.key_failure_counts[api_key] += 1
+                    logger.warning(f"Bulk verification exception for key: {api_key}, incrementing failure count")
+                else:
+                     # 如果密钥不在计数中（可能刚添加或从未失败），初始化为1
+                     key_manager.key_failure_counts[api_key] = 1
+                     logger.warning(f"Bulk verification exception for key: {api_key}, initializing failure count to 1")
+            invalid_count += 1
+            return api_key, "invalid", error_message
+
+    # 并发执行所有密钥的验证
+    tasks = [_verify_single_key(key) for key in keys_to_verify]
+    results = await asyncio.gather(*tasks, return_exceptions=True) # return_exceptions=True 捕获任务本身的异常
+
+    # 处理并发执行的结果
+    for result in results:
+        if isinstance(result, Exception):
+            # 捕获 asyncio.gather 可能遇到的异常（例如任务被取消）
+            logger.error(f"An unexpected error occurred during bulk verification task: {result}")
+            # 可以选择如何处理这种任务级别的错误，这里我们简单记录
+            # 也可以将其计入 invalid_count 或单独记录
+        elif result:
+             key, status, error = result
+             if status == "invalid" and error:
+                 verification_errors[key] = error # 记录具体的验证错误信息
+
+    logger.info(f"Bulk verification finished. Valid: {valid_count}, Invalid: {invalid_count}")
+
+    # 根据是否有错误决定最终消息和状态
+    if verification_errors or valid_count + invalid_count != len(keys_to_verify): # 检查是否有错误或任务异常
+        error_summary = "; ".join([f"{k}: {v}" for k, v in verification_errors.items()])
+        message = f"批量验证完成，但出现问题。有效: {valid_count}, 无效: {invalid_count}。错误详情: {error_summary or '任务执行异常'}"
+        return JSONResponse({
+            "success": False, # 标记为失败，因为有错误
+            "message": message,
+            "valid_count": valid_count,
+            "invalid_count": invalid_count,
+            "errors": verification_errors
+        }, status_code=207) # 207 Multi-Status 表示部分成功/失败
+    else:
+        # 完全成功
+        return JSONResponse({
+            "success": True,
+            "message": f"批量验证成功完成。有效: {valid_count}, 无效: {invalid_count}",
+            "valid_count": valid_count,
+            "invalid_count": invalid_count
+        })

app/router/log_routes.py

@@ -0,0 +1,124 @@
+"""
+日志路由模块
+"""
+from typing import List, Optional
+from datetime import datetime
+from pydantic import BaseModel
+from fastapi import APIRouter, HTTPException, Request, Query, Path
+
+from app.core.security import verify_auth_token
+from app.log.logger import get_log_routes_logger
+# 假设这些服务函数已更新或添加
+from app.database.services import get_error_logs, get_error_logs_count, get_error_log_details
+
+# 创建路由
+router = APIRouter(prefix="/api/logs", tags=["logs"])
+
+logger = get_log_routes_logger()
+
+
+# Define a response model that includes the total count for pagination
+# 用于列表响应的模型，假设 get_error_logs 返回包含 error_code 的字典
+class ErrorLogListItem(BaseModel):
+    id: int
+    gemini_key: Optional[str] = None
+    error_type: Optional[str] = None
+    error_code: Optional[int] = None # 列表显示错误码 (应为整数)
+    model_name: Optional[str] = None
+    request_time: Optional[datetime] = None
+
+class ErrorLogListResponse(BaseModel):
+    logs: List[ErrorLogListItem] # 使用定义的模型列表
+    total: int
+
+@router.get("/errors", response_model=ErrorLogListResponse)
+async def get_error_logs_api(
+    request: Request,
+    limit: int = Query(10, ge=1, le=1000),
+    offset: int = Query(0, ge=0),
+    key_search: Optional[str] = Query(None, description="Search term for Gemini key (partial match)"),
+    error_search: Optional[str] = Query(None, description="Search term for error type or log message"), # 数据库查询需处理
+    start_date: Optional[datetime] = Query(None, description="Start datetime for filtering"),
+    end_date: Optional[datetime] = Query(None, description="End datetime for filtering")
+):
+    """
+    获取错误日志列表 (返回错误码)
+
+    Args:
+        request: 请求对象
+        limit: 限制数量
+        offset: 偏移量
+        key_search: 密钥搜索
+        error_search: 错误搜索 (可能搜索类型或日志内容，由DB层决定)
+        start_date: 开始日期
+        end_date: 结束日期
+
+    Returns:
+        ErrorLogListResponse: An object containing the list of logs (with error_code) and the total count.
+    """
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning("Unauthorized access attempt to error logs list")
+        # API 返回 401 更合适
+        raise HTTPException(status_code=401, detail="Not authenticated")
+    
+    try:
+        # 假设 get_error_logs 现在返回包含 error_code 的字典列表
+        # 并且可以接受 include_error_code 参数 (如果需要显式指定)
+        logs_data = await get_error_logs(
+            limit=limit,
+            offset=offset,
+            key_search=key_search,
+            error_search=error_search, # 数据库查询需要处理这个
+            start_date=start_date,
+            end_date=end_date,
+        )
+        # Fetch total count with the same search parameters
+        total_count = await get_error_logs_count(
+            key_search=key_search,
+            error_search=error_search,
+            start_date=start_date,
+            end_date=end_date
+        )
+        # 验证并转换数据以匹配 Pydantic 模型
+        validated_logs = [ErrorLogListItem(**log) for log in logs_data]
+        return ErrorLogListResponse(logs=validated_logs, total=total_count)
+    except Exception as e:
+        logger.exception(f"Failed to get error logs list: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Failed to get error logs list: {str(e)}")
+
+
+# 新增：获取错误日志详情的路由
+class ErrorLogDetailResponse(BaseModel):
+    id: int
+    gemini_key: Optional[str] = None
+    error_type: Optional[str] = None
+    error_log: Optional[str] = None # 详情接口返回完整的 error_log
+    request_msg: Optional[str] = None # 详情接口返回 request_msg
+    model_name: Optional[str] = None
+    request_time: Optional[datetime] = None
+
+@router.get("/errors/{log_id}/details", response_model=ErrorLogDetailResponse)
+async def get_error_log_detail_api(request: Request, log_id: int = Path(..., ge=1)):
+    """
+    根据日志 ID 获取错误日志的详细信息 (包括 error_log 和 request_msg)
+    """
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning(f"Unauthorized access attempt to error log details for ID: {log_id}")
+        raise HTTPException(status_code=401, detail="Not authenticated")
+
+    try:
+        # 假设存在一个函数 get_error_log_details(log_id) 来获取完整信息
+        log_details = await get_error_log_details(log_id=log_id)
+        if not log_details:
+            raise HTTPException(status_code=404, detail="Error log not found")
+
+        # 假设 get_error_log_details 返回一个字典或兼容 Pydantic 的对象
+        return ErrorLogDetailResponse(**log_details)
+    except HTTPException as http_exc:
+        # Re-raise HTTPException (like 404)
+        raise http_exc
+    except Exception as e:
+        logger.exception(f"Failed to get error log details for ID {log_id}: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Failed to get error log details: {str(e)}")

app/router/openai_routes.py

@@ -1,70 +1,92 @@
-from fastapi import HTTPException, APIRouter, Depends
+from fastapi import APIRouter, Depends, HTTPException
 from fastapi.responses import StreamingResponse
 
-from app.core.config import settings
-from app.core.logger import get_openai_logger
+from app.config.config import settings
 from app.core.security import SecurityService
-from app.schemas.openai_models import ChatRequest, EmbeddingRequest, ImageGenerationRequest
-from app.services.chat.retry_handler import RetryHandler
-from app.services.embedding_service import EmbeddingService
-from app.services.image_create_service import ImageCreateService
-from app.services.key_manager import KeyManager, get_key_manager_instance
-from app.services.model_service import ModelService
-from app.services.openai_chat_service import OpenAIChatService
+from app.domain.openai_models import (
+    ChatRequest,
+    EmbeddingRequest,
+    ImageGenerationRequest,
+)
+from app.handler.retry_handler import RetryHandler
+from app.log.logger import get_openai_logger
+from app.service.chat.openai_chat_service import OpenAIChatService
+from app.service.embedding.embedding_service import EmbeddingService
+from app.service.image.image_create_service import ImageCreateService
+from app.service.key.key_manager import KeyManager, get_key_manager_instance
+from app.service.model.model_service import ModelService
 
 router = APIRouter()
 logger = get_openai_logger()
 
 # 初始化服务
-security_service = SecurityService(settings.ALLOWED_TOKENS, settings.AUTH_TOKEN)
-model_service = ModelService(settings.MODEL_SEARCH)
-embedding_service = EmbeddingService(settings.BASE_URL)
+security_service = SecurityService()
+model_service = ModelService()
+embedding_service = EmbeddingService()
 image_create_service = ImageCreateService()
 
+
 async def get_key_manager():
     return await get_key_manager_instance()
 
-async def get_next_working_key_wrapper(key_manager: KeyManager = Depends(get_key_manager)):
+
+async def get_next_working_key_wrapper(
+    key_manager: KeyManager = Depends(get_key_manager),
+):
     return await key_manager.get_next_working_key()
 
+
+async def get_openai_chat_service(key_manager: KeyManager = Depends(get_key_manager)):
+    """获取OpenAI聊天服务实例"""
+    return OpenAIChatService(settings.BASE_URL, key_manager)
+
+
 @router.get("/v1/models")
 @router.get("/hf/v1/models")
 async def list_models(
     _=Depends(security_service.verify_authorization),
-    key_manager: KeyManager = Depends(get_key_manager)
+    key_manager: KeyManager = Depends(get_key_manager),
 ):
     logger.info("-" * 50 + "list_models" + "-" * 50)
     logger.info("Handling models list request")
-    api_key = await key_manager.get_next_working_key()
+    api_key = await key_manager.get_first_valid_key()
     logger.info(f"Using API key: {api_key}")
     try:
         return model_service.get_gemini_openai_models(api_key)
     except Exception as e:
         logger.error(f"Error getting models list: {str(e)}")
-        raise HTTPException(status_code=500, detail="Internal server error while fetching models list") from e
+        raise HTTPException(
+            status_code=500, detail="Internal server error while fetching models list"
+        ) from e
 
 
 @router.post("/v1/chat/completions")
 @router.post("/hf/v1/chat/completions")
-@RetryHandler(max_retries=3, key_manager=Depends(get_key_manager), key_arg="api_key")
+@RetryHandler(max_retries=settings.MAX_RETRIES, key_arg="api_key")
 async def chat_completion(
     request: ChatRequest,
     _=Depends(security_service.verify_authorization),
     api_key: str = Depends(get_next_working_key_wrapper),
-    key_manager: KeyManager = Depends(get_key_manager)
+    key_manager: KeyManager = Depends(get_key_manager), # 保留 key_manager 用于获取 paid_key
+    chat_service: OpenAIChatService = Depends(get_openai_chat_service),
 ):
     # 如果model是imagen3,使用paid_key
     if request.model == f"{settings.CREATE_IMAGE_MODEL}-chat":
         api_key = await key_manager.get_paid_key()
-    chat_service = OpenAIChatService(settings.BASE_URL, key_manager)
     logger.info("-" * 50 + "chat_completion" + "-" * 50)
     logger.info(f"Handling chat completion request for model: {request.model}")
-    logger.info(f"Request: \n{request.model_dump_json(indent=2)}")
+    logger.debug(f"Request: \n{request.model_dump_json(indent=2)}")
     logger.info(f"Using API key: {api_key}")
+
+    if not model_service.check_model_support(request.model):
+        raise HTTPException(
+            status_code=400, detail=f"Model {request.model} is not supported"
+        )
+
     try:
         # 如果model是imagen3,使用paid_key
         if request.model == f"{settings.CREATE_IMAGE_MODEL}-chat":
-            response = await chat_service.create_image_chat_completion(request=request)
+            response = await chat_service.create_image_chat_completion(request, api_key)
         else:
             response = await chat_service.create_chat_completion(request, api_key)
         # 处理流式响应
@@ -76,6 +98,7 @@ async def chat_completion(
         logger.error(f"Chat completion failed after retries: {str(e)}")
         raise HTTPException(status_code=500, detail="Chat completion failed") from e
 
+
 @router.post("/v1/images/generations")
 @router.post("/hf/v1/images/generations")
 async def generate_image(
@@ -91,14 +114,17 @@ async def generate_image(
         return response
     except Exception as e:
         logger.error(f"Image generation request failed: {str(e)}")
-        raise HTTPException(status_code=500, detail="Image generation request failed") from e
+        raise HTTPException(
+            status_code=500, detail="Image generation request failed"
+        ) from e
+
 
 @router.post("/v1/embeddings")
 @router.post("/hf/v1/embeddings")
 async def embedding(
     request: EmbeddingRequest,
     _=Depends(security_service.verify_authorization),
-    key_manager: KeyManager = Depends(get_key_manager)
+    key_manager: KeyManager = Depends(get_key_manager),
 ):
     logger.info("-" * 50 + "embedding" + "-" * 50)
     logger.info(f"Handling embedding request for model: {request.model}")
@@ -114,11 +140,12 @@ async def embedding(
         logger.error(f"Embedding request failed: {str(e)}")
         raise HTTPException(status_code=500, detail="Embedding request failed") from e
 
+
 @router.get("/v1/keys/list")
 @router.get("/hf/v1/keys/list")
 async def get_keys_list(
     _=Depends(security_service.verify_auth_token),
-    key_manager: KeyManager = Depends(get_key_manager)
+    key_manager: KeyManager = Depends(get_key_manager),
 ):
     """获取有效和无效的API key列表"""
     logger.info("-" * 50 + "get_keys_list" + "-" * 50)
@@ -129,13 +156,12 @@ async def get_keys_list(
             "status": "success",
             "data": {
                 "valid_keys": keys_status["valid_keys"],
-                "invalid_keys": keys_status["invalid_keys"]
+                "invalid_keys": keys_status["invalid_keys"],
             },
-            "total": len(keys_status["valid_keys"]) + len(keys_status["invalid_keys"])
+            "total": len(keys_status["valid_keys"]) + len(keys_status["invalid_keys"]),
         }
     except Exception as e:
         logger.error(f"Error getting keys list: {str(e)}")
         raise HTTPException(
-            status_code=500,
-            detail="Internal server error while fetching keys list"
+            status_code=500, detail="Internal server error while fetching keys list"
         ) from e

app/router/routes.py

@@ -0,0 +1,193 @@
+"""
+路由配置模块，负责设置和配置应用程序的路由
+"""
+
+from fastapi import FastAPI, Request
+from fastapi.responses import HTMLResponse, RedirectResponse
+from fastapi.templating import Jinja2Templates
+
+from app.core.security import verify_auth_token
+from app.log.logger import get_routes_logger
+from app.router import gemini_routes, openai_routes, config_routes, log_routes, scheduler_routes, stats_routes # 新增导入 stats_routes
+from app.service.key.key_manager import get_key_manager_instance
+from app.service.stats_service import StatsService
+
+logger = get_routes_logger()
+
+# 配置Jinja2模板
+templates = Jinja2Templates(directory="app/templates")
+
+
+def setup_routers(app: FastAPI) -> None:
+    """
+    设置应用程序的路由
+
+    Args:
+        app: FastAPI应用程序实例
+    """
+    # 包含API路由
+    app.include_router(openai_routes.router)
+    app.include_router(gemini_routes.router)
+    app.include_router(gemini_routes.router_v1beta)
+    app.include_router(config_routes.router)
+    app.include_router(log_routes.router)
+    app.include_router(scheduler_routes.router) # 新增包含 scheduler 路由
+    app.include_router(stats_routes.router) # 包含 stats API 路由
+
+    # 添加页面路由
+    setup_page_routes(app)
+
+    # 添加健康检查路由
+    setup_health_routes(app)
+    setup_api_stats_routes(app) # Add API stats routes
+
+
+def setup_page_routes(app: FastAPI) -> None:
+    """
+    设置页面相关的路由
+
+    Args:
+        app: FastAPI应用程序实例
+    """
+
+    @app.get("/", response_class=HTMLResponse)
+    async def auth_page(request: Request):
+        """认证页面"""
+        return templates.TemplateResponse("auth.html", {"request": request})
+
+    @app.post("/auth")
+    async def authenticate(request: Request):
+        """处理认证请求"""
+        try:
+            form = await request.form()
+            auth_token = form.get("auth_token")
+            if not auth_token:
+                logger.warning("Authentication attempt with empty token")
+                return RedirectResponse(url="/", status_code=302)
+
+            if verify_auth_token(auth_token):
+                logger.info("Successful authentication")
+                response = RedirectResponse(url="/config", status_code=302)
+                response.set_cookie(
+                    key="auth_token", value=auth_token, httponly=True, max_age=3600
+                )
+                return response
+            logger.warning("Failed authentication attempt with invalid token")
+            return RedirectResponse(url="/", status_code=302)
+        except Exception as e:
+            logger.error(f"Authentication error: {str(e)}")
+            return RedirectResponse(url="/", status_code=302)
+
+    @app.get("/keys", response_class=HTMLResponse)
+    async def keys_page(request: Request):
+        """密钥管理页面"""
+        try:
+            auth_token = request.cookies.get("auth_token")
+            if not auth_token or not verify_auth_token(auth_token):
+                logger.warning("Unauthorized access attempt to keys page")
+                return RedirectResponse(url="/", status_code=302)
+
+            key_manager = await get_key_manager_instance()
+            keys_status = await key_manager.get_keys_by_status()
+            total_keys = len(keys_status["valid_keys"]) + len(keys_status["invalid_keys"])
+            valid_key_count = len(keys_status["valid_keys"])
+            invalid_key_count = len(keys_status["invalid_keys"])
+
+            stats_service = StatsService()
+            api_stats = await stats_service.get_api_usage_stats()
+            logger.info(f"API stats retrieved: {api_stats}")
+
+            logger.info(f"Keys status retrieved successfully. Total keys: {total_keys}")
+            return templates.TemplateResponse(
+                "keys_status.html",
+                {
+                    "request": request,
+                    "valid_keys": keys_status["valid_keys"],
+                    "invalid_keys": keys_status["invalid_keys"],
+                    "total_keys": total_keys, # Renamed for clarity
+                    "valid_key_count": valid_key_count, # Added count
+                    "invalid_key_count": invalid_key_count, # Added count
+                    "api_stats": api_stats, # <-- Pass stats to template
+                },
+            )
+        except Exception as e:
+            logger.error(f"Error retrieving keys status or API stats: {str(e)}")
+            # Optionally, render template with error or default stats
+            # For now, re-raise to show error page
+            raise
+            
+    @app.get("/config", response_class=HTMLResponse)
+    async def config_page(request: Request):
+        """配置编辑页面"""
+        try:
+            auth_token = request.cookies.get("auth_token")
+            if not auth_token or not verify_auth_token(auth_token):
+                logger.warning("Unauthorized access attempt to config page")
+                return RedirectResponse(url="/", status_code=302)
+                
+            logger.info("Config page accessed successfully")
+            return templates.TemplateResponse("config_editor.html", {"request": request})
+        except Exception as e:
+            logger.error(f"Error accessing config page: {str(e)}")
+            raise
+            
+    @app.get("/logs", response_class=HTMLResponse)
+    async def logs_page(request: Request):
+        """错误日志页面"""
+        try:
+            auth_token = request.cookies.get("auth_token")
+            if not auth_token or not verify_auth_token(auth_token):
+                logger.warning("Unauthorized access attempt to logs page")
+                return RedirectResponse(url="/", status_code=302)
+                
+            logger.info("Logs page accessed successfully")
+            return templates.TemplateResponse("error_logs.html", {"request": request})
+        except Exception as e:
+            logger.error(f"Error accessing logs page: {str(e)}")
+            raise
+
+
+def setup_health_routes(app: FastAPI) -> None:
+    """
+    设置健康检查相关的路由
+
+    Args:
+        app: FastAPI应用程序实例
+    """
+
+    @app.get("/health")
+    async def health_check(request: Request):
+        """健康检查端点"""
+        logger.info("Health check endpoint called")
+        return {"status": "healthy"}
+
+
+def setup_api_stats_routes(app: FastAPI) -> None:
+    """
+    设置 API 统计相关的路由
+
+    Args:
+        app: FastAPI应用程序实例
+    """
+    @app.get("/api/stats/details")
+    async def api_stats_details(request: Request, period: str):
+        """获取指定时间段内的 API 调用详情"""
+        try:
+            # 验证认证
+            auth_token = request.cookies.get("auth_token")
+            if not auth_token or not verify_auth_token(auth_token):
+                logger.warning("Unauthorized access attempt to API stats details")
+                # Returning JSON error instead of redirect for API endpoint
+                return {"error": "Unauthorized"}, 401
+
+            logger.info(f"Fetching API call details for period: {period}")
+            # Use the service instance here as well
+            stats_service = StatsService() # Create an instance
+            details = await stats_service.get_api_call_details(period)
+            return details
+        except ValueError as e:
+            logger.warning(f"Invalid period requested for API stats details: {period} - {str(e)}")
+            return {"error": str(e)}, 400
+        except Exception as e:
+            logger.error(f"Error fetching API stats details for period {period}: {str(e)}")
+            return {"error": "Internal server error"}, 500

app/router/scheduler_routes.py

@@ -0,0 +1,63 @@
+"""
+定时任务控制路由模块
+"""
+
+from fastapi import APIRouter, Request, HTTPException, status # 移除 Depends, 添加 Request
+from fastapi.responses import JSONResponse
+
+from app.core.security import verify_auth_token # 导入 verify_auth_token
+from app.scheduler.key_checker import start_scheduler, stop_scheduler
+from app.log.logger import get_scheduler_routes # 使用路由日志记录器
+
+logger = get_scheduler_routes()
+
+router = APIRouter(
+    prefix="/api/scheduler",
+    tags=["Scheduler"]
+    # 移除全局依赖
+)
+
+# 认证检查的辅助函数
+async def verify_token(request: Request):
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning("Unauthorized access attempt to scheduler API")
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Not authenticated",
+            headers={"WWW-Authenticate": "Bearer"},
+        )
+
+@router.post("/start", summary="启动定时任务")
+async def start_scheduler_endpoint(request: Request): # 添加 request 参数
+    """Start the background scheduler task"""
+    """
+    await verify_token(request) # 在函数开始处进行认证检查
+    """
+    try:
+        logger.info("Received request to start scheduler.")
+        start_scheduler() # 调用 key_checker 中的函数
+        return JSONResponse(content={"message": "Scheduler started successfully."}, status_code=status.HTTP_200_OK)
+    except Exception as e:
+        logger.error(f"Error starting scheduler: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to start scheduler: {str(e)}"
+        )
+
+@router.post("/stop", summary="停止定时任务")
+async def stop_scheduler_endpoint(request: Request): # 添加 request 参数
+    """Stop the background scheduler task"""
+    """
+    await verify_token(request) # 在函数开始处进行认证检查
+    """
+    try:
+        logger.info("Received request to stop scheduler.")
+        stop_scheduler() # 调用 key_checker 中的函数
+        return JSONResponse(content={"message": "Scheduler stopped successfully."}, status_code=status.HTTP_200_OK)
+    except Exception as e:
+        logger.error(f"Error stopping scheduler: {str(e)}", exc_info=True)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Failed to stop scheduler: {str(e)}"
+        )

app/router/stats_routes.py

@@ -0,0 +1,58 @@
+from fastapi import APIRouter, Depends, HTTPException, Request
+from starlette import status
+from app.core.security import verify_auth_token
+from app.service.stats_service import StatsService
+from app.log.logger import get_stats_logger
+
+logger = get_stats_logger()
+
+
+async def verify_token(request: Request):
+    auth_token = request.cookies.get("auth_token")
+    if not auth_token or not verify_auth_token(auth_token):
+        logger.warning("Unauthorized access attempt to scheduler API")
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Not authenticated",
+            headers={"WWW-Authenticate": "Bearer"},
+        )
+
+router = APIRouter(
+    prefix="/api",
+    tags=["stats"],
+    dependencies=[Depends(verify_token)]
+)
+
+stats_service = StatsService()
+
+@router.get("/key-usage-details/{key}",
+            summary="获取指定密钥最近24小时的模型调用次数",
+            description="根据提供的 API 密钥，返回过去24小时内每个模型被调用的次数统计。")
+async def get_key_usage_details(key: str):
+    """
+    Retrieves the model usage count for a specific API key within the last 24 hours.
+
+    Args:
+        key: The API key to get usage details for.
+
+    Returns:
+        A dictionary with model names as keys and their call counts as values.
+        Example: {"gemini-pro": 10, "gemini-1.5-pro-latest": 5}
+
+    Raises:
+        HTTPException: If an error occurs during data retrieval.
+    """
+    try:
+        usage_details = await stats_service.get_key_usage_details_last_24h(key)
+        if usage_details is None:
+            # Handle case where key might be valid but has no recent usage,
+            # or if the service layer explicitly returns None for other reasons.
+            # Returning an empty dict is usually fine for the frontend.
+            return {}
+        return usage_details
+    except Exception as e:
+        logger.error(f"Error fetching key usage details for key {key[:4]}...: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"获取密钥使用详情时出错: {e}"
+        )

app/scheduler/key_checker.py

@@ -0,0 +1,100 @@
+from apscheduler.schedulers.asyncio import AsyncIOScheduler
+from app.service.key.key_manager import get_key_manager_instance
+from app.service.chat.gemini_chat_service import GeminiChatService
+from app.domain.gemini_models import GeminiRequest, GeminiContent
+from app.config.config import settings
+from app.log.logger import Logger # 导入 Logger 类
+
+logger = Logger.setup_logger("scheduler") # 使用 Logger.setup_logger
+
+async def check_failed_keys():
+    """
+    定时检查失败次数大于0的API密钥，并尝试验证它们。
+    如果验证成功，重置失败计数；如果失败，增加失败计数。
+    """
+    logger.info("Starting scheduled check for failed API keys...")
+    try:
+        key_manager = await get_key_manager_instance()
+        # 确保 KeyManager 已经初始化
+        if not key_manager or not hasattr(key_manager, 'key_failure_counts'):
+            logger.warning("KeyManager instance not available or not initialized. Skipping check.")
+            return
+
+        # 创建 GeminiChatService 实例用于验证
+        # 注意：这里直接创建实例，而不是通过依赖注入，因为这是后台任务
+        chat_service = GeminiChatService(settings.BASE_URL, key_manager)
+
+        # 获取需要检查的 key 列表 (失败次数 > 0)
+        keys_to_check = []
+        async with key_manager.failure_count_lock: # 访问共享数据需要加锁
+            # 复制一份以避免在迭代时修改字典
+            failure_counts_copy = key_manager.key_failure_counts.copy()
+            keys_to_check = [key for key, count in failure_counts_copy.items() if count > 0] # 检查所有失败次数大于0的key
+
+        if not keys_to_check:
+            logger.info("No keys with failure count > 0 found. Skipping verification.")
+            return
+
+        logger.info(f"Found {len(keys_to_check)} keys with failure count > 0 to verify.")
+
+        for key in keys_to_check:
+            # 隐藏部分 key 用于日志记录
+            log_key = f"{key[:4]}...{key[-4:]}" if len(key) > 8 else key
+            logger.info(f"Verifying key: {log_key}...")
+            try:
+                # 构造测试请求
+                gemini_request = GeminiRequest(
+                    contents=[
+                        GeminiContent(
+                            role="user",
+                            parts=[{"text": "hi"}] # 使用简单的文本进行验证
+                        )
+                    ]
+                )
+                # 调用 generate_content 进行验证
+                await chat_service.generate_content(
+                    settings.TEST_MODEL, # 使用配置中定义的测试模型
+                    gemini_request,
+                    key
+                )
+                # 如果没有抛出异常，说明 key 有效
+                logger.info(f"Key {log_key} verification successful. Resetting failure count.")
+                await key_manager.reset_key_failure_count(key)
+            except Exception as e:
+                # 验证失败，增加失败计数
+                logger.warning(f"Key {log_key} verification failed: {str(e)}. Incrementing failure count.")
+                # 直接操作计数器，需要加锁
+                async with key_manager.failure_count_lock:
+                    # 再次检查 key 是否存在且失败次数未达上限
+                    if key in key_manager.key_failure_counts and key_manager.key_failure_counts[key] < key_manager.MAX_FAILURES:
+                        key_manager.key_failure_counts[key] += 1
+                        logger.info(f"Failure count for key {log_key} incremented to {key_manager.key_failure_counts[key]}.")
+                    elif key in key_manager.key_failure_counts:
+                         logger.warning(f"Key {log_key} reached MAX_FAILURES ({key_manager.MAX_FAILURES}). Not incrementing further.")
+
+
+    except Exception as e:
+        logger.error(f"An error occurred during the scheduled key check: {str(e)}", exc_info=True)
+
+def setup_scheduler():
+    """设置并启动 APScheduler"""
+    scheduler = AsyncIOScheduler(timezone=str(settings.TIMEZONE)) # 从配置读取时区
+    # 添加定时任务，例如每小时执行一次 (可以调整)
+    scheduler.add_job(check_failed_keys, 'interval', hours=settings.CHECK_INTERVAL_HOURS)
+    scheduler.start()
+    logger.info(f"Scheduler started. Key check job scheduled to run every {settings.CHECK_INTERVAL_HOURS} hour(s).")
+    return scheduler
+
+# 可以在这里添加一个全局的 scheduler 实例，以便在应用关闭时优雅地停止
+scheduler_instance = None
+
+def start_scheduler():
+    global scheduler_instance
+    if scheduler_instance is None:
+        scheduler_instance = setup_scheduler()
+
+def stop_scheduler():
+    global scheduler_instance
+    if scheduler_instance and scheduler_instance.running:
+        scheduler_instance.shutdown()
+        logger.info("Scheduler stopped.")

app/schemas/gemini_models.py

@@ -1,40 +0,0 @@
-from typing import List, Optional, Dict, Any, Literal
-from pydantic import BaseModel
-
-
-class SafetySetting(BaseModel):
-    category: Optional[Literal["HARM_CATEGORY_HATE_SPEECH", "HARM_CATEGORY_DANGEROUS_CONTENT", "HARM_CATEGORY_HARASSMENT", "HARM_CATEGORY_SEXUALLY_EXPLICIT", "HARM_CATEGORY_CIVIC_INTEGRITY"]] = None
-    threshold: Optional[Literal["HARM_BLOCK_THRESHOLD_UNSPECIFIED", "BLOCK_LOW_AND_ABOVE", "BLOCK_MEDIUM_AND_ABOVE", "BLOCK_ONLY_HIGH", "BLOCK_NONE", "OFF"]] = None
-
-
-class GenerationConfig(BaseModel):
-    stopSequences: Optional[List[str]] = None
-    responseMimeType: Optional[str] = None
-    responseSchema: Optional[Dict[str, Any]] = None
-    candidateCount: Optional[int] = 1
-    maxOutputTokens: Optional[int] = None
-    temperature: Optional[float] = None
-    topP: Optional[float] = None
-    topK: Optional[int] = None
-    presencePenalty: Optional[float] = None
-    frequencyPenalty: Optional[float] = None
-    responseLogprobs: Optional[bool] = None
-    logprobs: Optional[int] = None
-
-
-class SystemInstruction(BaseModel):
-    role: str = "system"
-    parts: List[Dict[str, Any]]
-
-
-class GeminiContent(BaseModel):
-    role: str
-    parts: List[Dict[str, Any]]
-
-
-class GeminiRequest(BaseModel):
-    contents: List[GeminiContent]
-    tools: Optional[List[Dict[str, Any]]] = []
-    safetySettings: Optional[List[SafetySetting]] = None
-    generationConfig: Optional[GenerationConfig] = None
-    systemInstruction: Optional[SystemInstruction] = None

app/service/chat/gemini_chat_service.py

@@ -0,0 +1,295 @@
+# app/services/chat_service.py
+
+import json
+import re
+import datetime # Add datetime import
+import time # Add time import
+from typing import Any, AsyncGenerator, Dict, List
+from app.config.config import settings
+from app.domain.gemini_models import GeminiRequest
+from app.handler.response_handler import GeminiResponseHandler
+from app.handler.stream_optimizer import gemini_optimizer
+from app.log.logger import get_gemini_logger
+from app.service.client.api_client import GeminiApiClient
+from app.service.key.key_manager import KeyManager
+from app.database.services import add_error_log, add_request_log # Import add_request_log
+
+logger = get_gemini_logger()
+
+
+def _has_image_parts(contents: List[Dict[str, Any]]) -> bool:
+    """判断消息是否包含图片部分"""
+    for content in contents:
+        if "parts" in content:
+            for part in content["parts"]:
+                if "image_url" in part or "inline_data" in part:
+                    return True
+    return False
+
+
+def _build_tools(model: str, payload: Dict[str, Any]) -> List[Dict[str, Any]]:
+    """构建工具"""
+    
+    def _merge_tools(tools: List[Dict[str, Any]]) -> Dict[str, Any]:
+        record = dict()
+        for item in tools:
+            if not item or not isinstance(item, dict):
+                continue
+
+            for k, v in item.items():
+                if k == "functionDeclarations" and v and isinstance(v, list):
+                    functions = record.get("functionDeclarations", [])
+                    functions.extend(v)
+                    record["functionDeclarations"] = functions
+                else:
+                    record[k] = v
+        return record
+
+    tool = dict()
+    if payload and isinstance(payload, dict) and "tools" in payload:
+        if payload.get("tools") and isinstance(payload.get("tools"), dict):
+            payload["tools"] = [payload.get("tools")]
+        items = payload.get("tools", [])
+        if items and isinstance(items, list):
+            tool.update(_merge_tools(items))
+
+    if (
+        settings.TOOLS_CODE_EXECUTION_ENABLED
+        and not (model.endswith("-search") or "-thinking" in model)
+        and not _has_image_parts(payload.get("contents", []))
+    ):
+        tool["codeExecution"] = {}
+    if model.endswith("-search"):
+        tool["googleSearch"] = {}
+
+    # 解决 "Tool use with function calling is unsupported" 问题
+    if tool.get("functionDeclarations"):
+        tool.pop("googleSearch", None)
+        tool.pop("codeExecution", None)
+
+    return [tool] if tool else []
+
+
+def _get_safety_settings(model: str) -> List[Dict[str, str]]:
+    """获取安全设置"""
+    if model == "gemini-2.0-flash-exp":
+        return [
+            {"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"},
+        ]
+    return [
+        {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
+        {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
+        {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
+        {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
+        {"category": "HARM_CATEGORY_CIVIC_INTEGRITY", "threshold": "BLOCK_NONE"},
+    ]
+
+
+def _build_payload(model: str, request: GeminiRequest) -> Dict[str, Any]:
+    """构建请求payload"""
+    request_dict = request.model_dump()
+    if request.generationConfig:
+        if request.generationConfig.maxOutputTokens is None:
+            # 如果未指定最大输出长度，则不传递该字段，解决截断的问题
+            request_dict["generationConfig"].pop("maxOutputTokens")
+    
+    payload = {
+        "contents": request_dict.get("contents", []),
+        "tools": _build_tools(model, request_dict),
+        "safetySettings": _get_safety_settings(model),
+        "generationConfig": request_dict.get("generationConfig", {}),
+        "systemInstruction": request_dict.get("systemInstruction", ""),
+    }
+
+    if model.endswith("-image") or model.endswith("-image-generation"):
+        payload.pop("systemInstruction")
+        payload["generationConfig"]["responseModalities"] = ["Text", "Image"]
+        
+    if model.endswith("-non-thinking"):
+        payload["generationConfig"]["thinkingConfig"] = {"thinkingBudget": 0} 
+    if model in settings.THINKING_BUDGET_MAP:
+        payload["generationConfig"]["thinkingConfig"] = {"thinkingBudget": settings.THINKING_BUDGET_MAP.get(model,1000)}
+
+    return payload
+
+
+class GeminiChatService:
+    """聊天服务"""
+
+    def __init__(self, base_url: str, key_manager: KeyManager):
+        self.api_client = GeminiApiClient(base_url, settings.TIME_OUT)
+        self.key_manager = key_manager
+        self.response_handler = GeminiResponseHandler()
+
+    def _extract_text_from_response(self, response: Dict[str, Any]) -> str:
+        """从响应中提取文本内容"""
+        if not response.get("candidates"):
+            return ""
+
+        candidate = response["candidates"][0]
+        content = candidate.get("content", {})
+        parts = content.get("parts", [])
+
+        if parts and "text" in parts[0]:
+            return parts[0].get("text", "")
+        return ""
+
+    def _create_char_response(
+        self, original_response: Dict[str, Any], text: str
+    ) -> Dict[str, Any]:
+        """创建包含指定文本的响应"""
+        response_copy = json.loads(json.dumps(original_response))  # 深拷贝
+        if response_copy.get("candidates") and response_copy["candidates"][0].get(
+            "content", {}
+        ).get("parts"):
+            response_copy["candidates"][0]["content"]["parts"][0]["text"] = text
+        return response_copy
+
+    async def generate_content(
+        self, model: str, request: GeminiRequest, api_key: str
+    ) -> Dict[str, Any]:
+        """生成内容"""
+        payload = _build_payload(model, request)
+        start_time = time.perf_counter()
+        request_datetime = datetime.datetime.now() # Record request time
+        is_success = False
+        status_code = None
+        response = None
+
+        try:
+            response = await self.api_client.generate_content(payload, model, api_key)
+            is_success = True
+            status_code = 200 # Assume 200 on success
+            return self.response_handler.handle_response(response, model, stream=False)
+        except Exception as e:
+            is_success = False
+            error_log_msg = str(e)
+            logger.error(f"Normal API call failed with error: {error_log_msg}")
+            # Try to parse status code from exception
+            match = re.search(r"status code (\d+)", error_log_msg)
+            if match:
+                status_code = int(match.group(1))
+            else:
+                status_code = 500 # Default to 500 if parsing fails
+
+            # Log error to error log table
+            await add_error_log(
+                gemini_key=api_key,
+                model_name=model,
+                error_type="gemini-chat-non-stream",
+                error_log=error_log_msg,
+                error_code=status_code,
+                request_msg=payload
+            )
+            raise e # Re-throw exception for upstream handling
+        finally:
+            end_time = time.perf_counter()
+            latency_ms = int((end_time - start_time) * 1000)
+            # Log request to request log table
+            await add_request_log(
+                model_name=model,
+                api_key=api_key,
+                is_success=is_success,
+                status_code=status_code,
+                latency_ms=latency_ms,
+                request_time=request_datetime
+            )
+
+    async def stream_generate_content(
+        self, model: str, request: GeminiRequest, api_key: str
+    ) -> AsyncGenerator[str, None]:
+        """流式生成内容"""
+        retries = 0
+        max_retries = settings.MAX_RETRIES
+        payload = _build_payload(model, request)
+        is_success = False
+        status_code = None
+        final_api_key = api_key
+
+        while retries < max_retries:
+            request_datetime = datetime.datetime.now()
+            start_time = time.perf_counter()
+            current_attempt_key = api_key
+            final_api_key = current_attempt_key # Update final key used
+            try:
+                async for line in self.api_client.stream_generate_content(
+                    payload, model, current_attempt_key
+                ):
+                    # print(line)
+                    if line.startswith("data:"):
+                        line = line[6:]
+                        response_data = self.response_handler.handle_response(
+                            json.loads(line), model, stream=True
+                        )
+                        text = self._extract_text_from_response(response_data)
+                        # 如果有文本内容，且开启了流式输出优化器，则使用流式输出优化器处理
+                        if text and settings.STREAM_OPTIMIZER_ENABLED:
+                            # 使用流式输出优化器处理文本输出
+                            async for (
+                                optimized_chunk
+                            ) in gemini_optimizer.optimize_stream_output(
+                                text,
+                                lambda t: self._create_char_response(response_data, t),
+                                lambda c: "data: " + json.dumps(c) + "\n\n",
+                            ):
+                                yield optimized_chunk
+                        else:
+                            # 如果没有文本内容（如工具调用等），整块输出
+                            yield "data: " + json.dumps(response_data) + "\n\n"
+                logger.info("Streaming completed successfully")
+                is_success = True
+                status_code = 200
+                break
+            except Exception as e:
+                retries += 1
+                is_success = False
+                error_log_msg = str(e)
+                logger.warning(
+                    f"Streaming API call failed with error: {error_log_msg}. Attempt {retries} of {max_retries}"
+                )
+                # Parse error code for logging
+                match = re.search(r"status code (\d+)", error_log_msg)
+                if match:
+                    status_code = int(match.group(1))
+                else:
+                    status_code = 500
+
+                # Log error to error log table
+                await add_error_log(
+                    gemini_key=current_attempt_key, # Log key used for this failed attempt
+                    model_name=model,
+                    error_type="gemini-chat-stream",
+                    error_log=error_log_msg,
+                    error_code=status_code,
+                    request_msg=payload
+                )
+
+                # Attempt to switch API Key
+                api_key = await self.key_manager.handle_api_failure(current_attempt_key, retries)
+                if api_key:
+                    logger.info(f"Switched to new API key: {api_key}")
+                else: # No more keys or retries exceeded by handle_api_failure logic
+                        logger.error(f"No valid API key available after {retries} retries.")
+                        break # Exit loop if no key available
+
+                if retries >= max_retries:
+                    logger.error(
+                        f"Max retries ({max_retries}) reached for streaming."
+                    )
+                    break # Exit loop after max retries
+            finally:
+                # Log the final outcome of the streaming request
+                end_time = time.perf_counter()
+                latency_ms = int((end_time - start_time) * 1000)
+                await add_request_log(
+                    model_name=model,
+                    api_key=final_api_key, # Log the last key used
+                    is_success=is_success, # Log the final success status
+                    status_code=status_code, # Log the last known status code
+                    latency_ms=latency_ms, # Log total time including retries
+                    request_time=request_datetime
+                )

app/service/chat/openai_chat_service.py

@@ -0,0 +1,482 @@
+# app/services/chat_service.py
+
+import json
+import re
+import datetime # Add datetime import
+import time # Add time import
+from copy import deepcopy
+from typing import Any, AsyncGenerator, Dict, List, Optional, Union
+
+from app.config.config import settings
+from app.domain.openai_models import ChatRequest, ImageGenerationRequest
+from app.handler.message_converter import OpenAIMessageConverter
+from app.handler.response_handler import OpenAIResponseHandler
+from app.handler.stream_optimizer import openai_optimizer
+from app.log.logger import get_openai_logger
+from app.service.client.api_client import GeminiApiClient
+from app.service.image.image_create_service import ImageCreateService
+from app.service.key.key_manager import KeyManager
+from app.database.services import add_error_log, add_request_log # Import add_request_log
+
+logger = get_openai_logger()
+
+
+def _has_image_parts(contents: List[Dict[str, Any]]) -> bool:
+    """判断消息是否包含图片部分"""
+    for content in contents:
+        if "parts" in content:
+            for part in content["parts"]:
+                if "image_url" in part or "inline_data" in part:
+                    return True
+    return False
+
+
+def _build_tools(
+    request: ChatRequest, messages: List[Dict[str, Any]]
+) -> List[Dict[str, Any]]:
+    """构建工具"""
+    tool = dict()
+    model = request.model
+
+    if (
+        settings.TOOLS_CODE_EXECUTION_ENABLED
+        and not (
+            model.endswith("-search")
+            or "-thinking" in model
+            or model.endswith("-image")
+            or model.endswith("-image-generation")
+        )
+        and not _has_image_parts(messages)
+    ):
+        tool["codeExecution"] = {}
+    if model.endswith("-search"):
+        tool["googleSearch"] = {}
+
+    # 将 request 中的 tools 合并到 tools 中
+    if request.tools:
+        function_declarations = []
+        for item in request.tools:
+            if not item or not isinstance(item, dict):
+                continue
+
+            if item.get("type", "") == "function" and item.get("function"):
+                function = deepcopy(item.get("function"))
+                parameters = function.get("parameters", {})
+                if parameters.get("type") == "object" and not parameters.get("properties", {}):
+                    function.pop("parameters", None)
+
+                function_declarations.append(function)
+
+        if function_declarations:
+            # 按照 function 的 name 去重
+            names, functions = set(), []
+            for fc in function_declarations:
+                if fc.get("name") not in names:
+                    names.add(fc.get("name"))
+                    functions.append(fc)
+
+            tool["functionDeclarations"] = functions
+
+    # 解决 "Tool use with function calling is unsupported" 问题
+    if tool.get("functionDeclarations"):
+        tool.pop("googleSearch", None)
+        tool.pop("codeExecution", None)
+
+    return [tool] if tool else []
+
+
+def _get_safety_settings(model: str) -> List[Dict[str, str]]:
+    """获取安全设置"""
+    # if (
+    #     "2.0" in model
+    #     and "gemini-2.0-flash-thinking-exp" not in model
+    #     and "gemini-2.0-pro-exp" not in model
+    # ):
+    if model == "gemini-2.0-flash-exp":
+        return [
+            {"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"},
+        ]
+    return [
+        {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
+        {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
+        {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
+        {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
+        {"category": "HARM_CATEGORY_CIVIC_INTEGRITY", "threshold": "BLOCK_NONE"},
+    ]
+
+
+def _build_payload(
+    request: ChatRequest,
+    messages: List[Dict[str, Any]],
+    instruction: Optional[Dict[str, Any]] = None,
+) -> Dict[str, Any]:
+    """构建请求payload"""
+    payload = {
+        "contents": messages,
+        "generationConfig": {
+            "temperature": request.temperature,
+            "stopSequences": request.stop,
+            "topP": request.top_p,
+            "topK": request.top_k,
+        },
+        "tools": _build_tools(request, messages),
+        "safetySettings": _get_safety_settings(request.model),
+    }
+    if request.max_tokens is not None:
+        payload["generationConfig"]["maxOutputTokens"] = request.max_tokens
+    if request.model.endswith("-image") or request.model.endswith("-image-generation"):
+        payload["generationConfig"]["responseModalities"] = ["Text", "Image"]
+    if request.model.endswith("-non-thinking"):
+        payload["generationConfig"]["thinkingConfig"] = {"thinkingBudget": 0} 
+    if request.model in settings.THINKING_BUDGET_MAP:
+        payload["generationConfig"]["thinkingConfig"] = {"thinkingBudget": settings.THINKING_BUDGET_MAP.get(request.model,1000)}
+
+    if (
+        instruction
+        and isinstance(instruction, dict)
+        and instruction.get("role") == "system"
+        and instruction.get("parts")
+        and not request.model.endswith("-image")
+        and not request.model.endswith("-image-generation")
+    ):
+        payload["systemInstruction"] = instruction
+
+    return payload
+
+
+class OpenAIChatService:
+    """聊天服务"""
+
+    def __init__(self, base_url: str, key_manager: KeyManager = None):
+        self.message_converter = OpenAIMessageConverter()
+        self.response_handler = OpenAIResponseHandler(config=None)
+        self.api_client = GeminiApiClient(base_url, settings.TIME_OUT)
+        self.key_manager = key_manager
+        self.image_create_service = ImageCreateService()
+
+    def _extract_text_from_openai_chunk(self, chunk: Dict[str, Any]) -> str:
+        """从OpenAI响应块中提取文本内容"""
+        if not chunk.get("choices"):
+            return ""
+
+        choice = chunk["choices"][0]
+        if "delta" in choice and "content" in choice["delta"]:
+            return choice["delta"]["content"]
+        return ""
+
+    def _create_char_openai_chunk(
+        self, original_chunk: Dict[str, Any], text: str
+    ) -> Dict[str, Any]:
+        """创建包含指定文本的OpenAI响应块"""
+        chunk_copy = json.loads(json.dumps(original_chunk))  # 深拷贝
+        if chunk_copy.get("choices") and "delta" in chunk_copy["choices"][0]:
+            chunk_copy["choices"][0]["delta"]["content"] = text
+        return chunk_copy
+
+    async def create_chat_completion(
+        self,
+        request: ChatRequest,
+        api_key: str,
+    ) -> Union[Dict[str, Any], AsyncGenerator[str, None]]:
+        """创建聊天完成"""
+        # 转换消息格式
+        messages, instruction = self.message_converter.convert(request.messages)
+
+        # 构建请求payload
+        payload = _build_payload(request, messages, instruction)
+
+        if request.stream:
+            return self._handle_stream_completion(request.model, payload, api_key)
+        return await self._handle_normal_completion(request.model, payload, api_key)
+
+    async def _handle_normal_completion(
+        self, model: str, payload: Dict[str, Any], api_key: str
+    ) -> Dict[str, Any]:
+        """处理普通聊天完成"""
+        start_time = time.perf_counter()
+        request_datetime = datetime.datetime.now()
+        is_success = False
+        status_code = None
+        response = None
+        try:
+            response = await self.api_client.generate_content(payload, model, api_key)
+            is_success = True
+            status_code = 200 # Assume 200 on success
+            return self.response_handler.handle_response(
+                response, model, stream=False, finish_reason="stop"
+            )
+        except Exception as e:
+            is_success = False
+            error_log_msg = str(e)
+            logger.error(f"Normal API call failed with error: {error_log_msg}")
+            # Try to parse status code from exception
+            match = re.search(r"status code (\d+)", error_log_msg)
+            if match:
+                status_code = int(match.group(1))
+            else:
+                status_code = 500 # Default if parsing fails
+
+            await add_error_log(
+                gemini_key=api_key, # Note: Parameter name is gemini_key in add_error_log
+                model_name=model,
+                error_type="openai-chat-non-stream",
+                error_log=error_log_msg,
+                error_code=status_code,
+                request_msg=payload
+            )
+            raise e # Re-throw exception
+        finally:
+            end_time = time.perf_counter()
+            latency_ms = int((end_time - start_time) * 1000)
+            await add_request_log(
+                model_name=model,
+                api_key=api_key,
+                is_success=is_success,
+                status_code=status_code,
+                latency_ms=latency_ms,
+                request_time=request_datetime
+            )
+
+    async def _handle_stream_completion(
+        self, model: str, payload: Dict[str, Any], api_key: str
+    ) -> AsyncGenerator[str, None]:
+        """处理流式聊天完成，添加重试逻辑"""
+        retries = 0
+        max_retries = settings.MAX_RETRIES
+        is_success = False
+        status_code = None
+        final_api_key = api_key
+
+        while retries < max_retries:
+            start_time = time.perf_counter()
+            request_datetime = datetime.datetime.now()
+            current_attempt_key = api_key
+            final_api_key = current_attempt_key
+            try:
+                tool_call_flag = False
+                async for line in self.api_client.stream_generate_content(
+                    payload, model, current_attempt_key
+                ):
+                    if line.startswith("data:"):
+                        chunk = json.loads(line[6:])
+                        openai_chunk = self.response_handler.handle_response(
+                            chunk, model, stream=True, finish_reason=None
+                        )
+                        if openai_chunk:
+                            # 提取文本内容
+                            text = self._extract_text_from_openai_chunk(openai_chunk)
+                            if text and settings.STREAM_OPTIMIZER_ENABLED:
+                                # 使用流式输出优化器处理文本输出
+                                async for (
+                                    optimized_chunk
+                                ) in openai_optimizer.optimize_stream_output(
+                                    text,
+                                    lambda t: self._create_char_openai_chunk(
+                                        openai_chunk, t
+                                    ),
+                                    lambda c: f"data: {json.dumps(c)}\n\n",
+                                ):
+                                    yield optimized_chunk
+                            else:
+                                # 如果没有文本内容（如工具调用等），整块输出
+                                if "tool_calls" in json.dumps(openai_chunk):
+                                    tool_call_flag = True
+                                yield f"data: {json.dumps(openai_chunk)}\n\n"
+                if tool_call_flag:
+                    yield f"data: {json.dumps(self.response_handler.handle_response({}, model, stream=True, finish_reason='tool_calls'))}\n\n"
+                else:
+                    yield f"data: {json.dumps(self.response_handler.handle_response({}, model, stream=True, finish_reason='stop'))}\n\n"
+                yield "data: [DONE]\n\n"
+                logger.info("Streaming completed successfully")
+                is_success = True
+                status_code = 200 # Assume 200 on success
+                break  # 成功后退出循环
+            except Exception as e:
+                retries += 1
+                is_success = False
+                error_log_msg = str(e)
+                logger.warning(
+                    f"Streaming API call failed with error: {error_log_msg}. Attempt {retries} of {max_retries}"
+                )
+                # Parse error code for logging
+                match = re.search(r"status code (\d+)", error_log_msg)
+                if match:
+                    status_code = int(match.group(1))
+                else:
+                    status_code = 500 # Default if parsing fails
+
+                # Log error to error log table
+                await add_error_log(
+                    gemini_key=current_attempt_key,
+                    model_name=model,
+                    error_type="openai-chat-stream",
+                    error_log=error_log_msg,
+                    error_code=status_code,
+                    request_msg=payload
+                )
+
+                # Attempt to switch API Key
+                # Ensure key_manager is available (might need adjustment if not always passed)
+                if self.key_manager:
+                    api_key = await self.key_manager.handle_api_failure(current_attempt_key, retries)
+                    if api_key:
+                        logger.info(f"Switched to new API key: {api_key}")
+                    else:
+                        logger.error(f"No valid API key available after {retries} retries.")
+                        break # Exit loop if no key available
+                else:
+                        logger.error("KeyManager not available for retry logic.")
+                        break # Exit loop if key manager is missing
+
+                if retries >= max_retries:
+                    logger.error(
+                        f"Max retries ({max_retries}) reached for streaming."
+                    )
+                    break # Exit loop after max retries
+            finally:
+                # Log the final outcome of the streaming request
+                end_time = time.perf_counter()
+                latency_ms = int((end_time - start_time) * 1000)
+                await add_request_log(
+                    model_name=model,
+                    api_key=final_api_key, # Log the last key used
+                    is_success=is_success, # Log the final success status
+                    status_code=status_code, # Log the last known status code
+                    latency_ms=latency_ms, # Log total time including retries
+                    request_time=request_datetime
+                )
+                # If the loop finished due to failure, yield error and DONE
+                if not is_success and retries >= max_retries:
+                    yield f"data: {json.dumps({'error': 'Streaming failed after retries'})}\n\n"
+                    yield "data: [DONE]\n\n"
+
+    async def create_image_chat_completion(
+        self,
+        request: ChatRequest,
+        api_key: str
+    ) -> Union[Dict[str, Any], AsyncGenerator[str, None]]:
+
+        image_generate_request = ImageGenerationRequest()
+        image_generate_request.prompt = request.messages[-1]["content"]
+        image_res = self.image_create_service.generate_images_chat(
+            image_generate_request
+        )
+
+        if request.stream:
+            return self._handle_stream_image_completion(request.model, image_res, api_key)
+        else:
+            return await self._handle_normal_image_completion(request.model, image_res, api_key)
+
+    async def _handle_stream_image_completion(
+        self, model: str, image_data: str, api_key:str
+    ) -> AsyncGenerator[str, None]:
+        logger.info(f"Starting stream image completion for model: {model}")
+        start_time = time.perf_counter()
+        request_datetime = datetime.datetime.now() # Although not used for DB log here
+        is_success = False
+        status_code = None # Although not used for DB log here
+
+        try:
+            if image_data:
+                openai_chunk = self.response_handler.handle_image_chat_response(
+                    image_data, model, stream=True, finish_reason=None
+                )
+                if openai_chunk:
+                    # 提取文本内容
+                    text = self._extract_text_from_openai_chunk(openai_chunk)
+                    if text:
+                        # 使用流式输出优化器处理文本输出
+                        async for (
+                            optimized_chunk
+                        ) in openai_optimizer.optimize_stream_output(
+                            text,
+                            lambda t: self._create_char_openai_chunk(openai_chunk, t),
+                            lambda c: f"data: {json.dumps(c)}\n\n",
+                        ):
+                            yield optimized_chunk
+                    else:
+                        # 如果没有文本内容（如图片URL等），整块输出
+                        yield f"data: {json.dumps(openai_chunk)}\n\n"
+            yield f"data: {json.dumps(self.response_handler.handle_response({}, model, stream=True, finish_reason='stop'))}\n\n"
+            logger.info(f"Stream image completion finished successfully for model: {model}")
+            is_success = True
+            status_code = 200
+            yield "data: [DONE]\n\n"
+        except Exception as e:
+            is_success = False
+            error_log_msg = f"Stream image completion failed for model {model}: {e}"
+            logger.error(error_log_msg)
+            status_code = 500 # Default error code
+            await add_error_log(
+                gemini_key=api_key,
+                model_name=model,
+                error_type="openai-image-stream", # Specific error type
+                error_log=error_log_msg,
+                error_code=status_code,
+                request_msg={"image_data_truncated": image_data[:1000]} # Log truncated data
+            )
+            yield f"data: {json.dumps({'error': error_log_msg})}\n\n" # Send error to client
+            yield "data: [DONE]\n\n" # Still need DONE message
+            # Re-raising might break the stream, decide if needed
+        finally:
+            end_time = time.perf_counter()
+            latency_ms = int((end_time - start_time) * 1000)
+            logger.info(f"Stream image completion for model {model} took {latency_ms} ms. Success: {is_success}")
+            await add_request_log(
+                model_name=model,
+                api_key=api_key,
+                is_success=is_success,
+                status_code=status_code,
+                latency_ms=latency_ms,
+                request_time=request_datetime
+            )
+
+    async def _handle_normal_image_completion(
+        self, model: str, image_data: str, api_key: str # Add api_key parameter
+    ) -> Dict[str, Any]:
+        logger.info(f"Starting normal image completion for model: {model}")
+        start_time = time.perf_counter()
+        request_datetime = datetime.datetime.now() # Although not used for DB log here
+        is_success = False
+        status_code = None # Although not used for DB log here
+        result = None
+
+        try:
+            result = self.response_handler.handle_image_chat_response(
+                image_data, model, stream=False, finish_reason="stop"
+            )
+            logger.info(f"Normal image completion finished successfully for model: {model}")
+            is_success = True
+            status_code = 200
+            return result
+        except Exception as e:
+            is_success = False
+            error_log_msg = f"Normal image completion failed for model {model}: {e}"
+            logger.error(error_log_msg)
+            status_code = 500 # Default error code
+            await add_error_log(
+                gemini_key=api_key,
+                model_name=model,
+                error_type="openai-image-non-stream", # Specific error type
+                error_log=error_log_msg,
+                error_code=status_code,
+                request_msg={"image_data_truncated": image_data[:1000]} # Log truncated data
+            )
+            # Re-raise the exception so the caller knows about the failure
+            raise e
+        finally:
+            end_time = time.perf_counter()
+            latency_ms = int((end_time - start_time) * 1000)
+            logger.info(f"Normal image completion for model {model} took {latency_ms} ms. Success: {is_success}")
+            await add_request_log(
+                model_name=model,
+                api_key=api_key,
+                is_success=is_success,
+                status_code=status_code,
+                latency_ms=latency_ms,
+                request_time=request_datetime
+            )

app/service/client/api_client.py

@@ -4,6 +4,8 @@ from typing import Dict, Any, AsyncGenerator
 import httpx
 from abc import ABC, abstractmethod
 
+from app.core.constants import DEFAULT_TIMEOUT
+
 
 class ApiClient(ABC):
     """API客户端基类"""
@@ -20,17 +22,28 @@ class ApiClient(ABC):
 class GeminiApiClient(ApiClient):
     """Gemini API客户端"""
 
-    def __init__(self, base_url: str, timeout: int = 300):
+    def __init__(self, base_url: str, timeout: int = DEFAULT_TIMEOUT):
         self.base_url = base_url
         self.timeout = timeout
 
-    def generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
-        timeout = httpx.Timeout(self.timeout, read=self.timeout)
+    def _get_real_model(self, model: str) -> str:
         if model.endswith("-search"):
             model = model[:-7]
-        with httpx.Client(timeout=timeout) as client:
+        if model.endswith("-image"):
+            model = model[:-6]
+        if model.endswith("-non-thinking"):
+            model = model[:-13]
+        if "-search" in model and "-non-thinking" in model:
+            model = model[:-20]
+        return model
+
+    async def generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
+        timeout = httpx.Timeout(self.timeout, read=self.timeout)
+        model = self._get_real_model(model)
+
+        async with httpx.AsyncClient(timeout=timeout) as client:
             url = f"{self.base_url}/models/{model}:generateContent?key={api_key}"
-            response = client.post(url, json=payload)
+            response = await client.post(url, json=payload)
             if response.status_code != 200:
                 error_content = response.text
                 raise Exception(f"API call failed with status code {response.status_code}, {error_content}")
@@ -38,8 +51,8 @@ class GeminiApiClient(ApiClient):
 
     async def stream_generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> AsyncGenerator[str, None]:
         timeout = httpx.Timeout(self.timeout, read=self.timeout)
-        if model.endswith("-search"):
-            model = model[:-7]
+        model = self._get_real_model(model)
+        
         async with httpx.AsyncClient(timeout=timeout) as client:
             url = f"{self.base_url}/models/{model}:streamGenerateContent?alt=sse&key={api_key}"
             async with client.stream(method="POST", url=url, json=payload) as response:

app/service/config/config_service.py

@@ -0,0 +1,150 @@
+"""
+配置服务模块
+"""
+import datetime
+import json
+from typing import Any, Dict, List
+
+from dotenv import find_dotenv, load_dotenv
+from sqlalchemy import insert, update
+
+from app.config.config import settings
+from app.database.connection import database
+from app.database.models import Settings
+from app.config.config import Settings as ConfigSettings
+from app.database.services import get_all_settings
+from app.service.key.key_manager import get_key_manager_instance, reset_key_manager_instance
+from app.log.logger import get_config_routes_logger
+
+logger = get_config_routes_logger()
+
+
+class ConfigService:
+    """配置服务类，用于管理应用程序配置"""
+    
+    @staticmethod
+    async def get_config() -> Dict[str, Any]:
+        return settings.model_dump()
+    
+    @staticmethod
+    async def update_config(config_data: Dict[str, Any]) -> Dict[str, Any]:
+        for key, value in config_data.items():
+            if hasattr(settings, key):
+                setattr(settings, key, value)
+                logger.debug(f"Updated setting in memory: {key}") 
+        
+        # 获取现有设置
+        existing_settings_raw: List[Dict[str, Any]] = await get_all_settings()
+        existing_settings_map: Dict[str, Dict[str, Any]] = {s['key']: s for s in existing_settings_raw}
+        existing_keys = set(existing_settings_map.keys())
+
+        settings_to_update: List[Dict[str, Any]] = []
+        settings_to_insert: List[Dict[str, Any]] = []
+        now = datetime.datetime.now(datetime.timezone(datetime.timedelta(hours=8)))
+
+        # 准备要更新或插入的数据
+        for key, value in config_data.items():
+            # 处理不同类型的值
+            if isinstance(value, list):
+                db_value = json.dumps(value)
+            elif isinstance(value, dict): # 新增对 dict 类型的处理
+                db_value = json.dumps(value)
+            elif isinstance(value, bool):
+                db_value = str(value).lower()
+            else:
+                db_value = str(value)
+
+            # 仅当值发生变化时才更新
+            if key in existing_keys and existing_settings_map[key]['value'] == db_value:
+                continue 
+
+            description = f"{key}配置项" 
+
+            data = {
+                'key': key,
+                'value': db_value,
+                'description': description,
+                'updated_at': now
+            }
+
+            if key in existing_keys:
+                # Preserve original description if not explicitly provided
+                data['description'] = existing_settings_map[key].get('description', description)
+                settings_to_update.append(data)
+            else:
+                data['created_at'] = now
+                settings_to_insert.append(data)
+
+        # 在事务中执行批量插入和更新
+        if settings_to_insert or settings_to_update:
+            try:
+                async with database.transaction():
+                    if settings_to_insert:
+                        query_insert = insert(Settings).values(settings_to_insert)
+                        await database.execute(query=query_insert)
+                        logger.info(f"Bulk inserted {len(settings_to_insert)} settings.")
+
+                    if settings_to_update:
+                        for setting_data in settings_to_update:
+                            query_update = (
+                                update(Settings)
+                                .where(Settings.key == setting_data['key'])
+                                .values(
+                                    value=setting_data['value'],
+                                    description=setting_data['description'],
+                                    updated_at=setting_data['updated_at']
+                                )
+                            )
+                            await database.execute(query=query_update)
+                        logger.info(f"Updated {len(settings_to_update)} settings.")
+            except Exception as e:
+                logger.error(f"Failed to bulk update/insert settings: {str(e)}")
+                raise  # Re-raise the exception after logging
+
+        # 重置并重新初始化 KeyManager
+        try:
+            await reset_key_manager_instance()
+            await get_key_manager_instance(settings.API_KEYS)
+            logger.info("KeyManager instance re-initialized with updated settings.")
+        except Exception as e:
+            logger.error(f"Failed to re-initialize KeyManager: {str(e)}")
+            # Decide if this error should prevent returning the updated config
+            # For now, we log the error and continue
+
+        return await ConfigService.get_config()
+    
+    @staticmethod
+    async def reset_config() -> Dict[str, Any]:
+        """
+        重置配置：优先从系统环境变量加载，然后从 .env 文件加载，
+        更新内存中的 settings 对象，并刷新 KeyManager。
+
+        Returns:
+            Dict[str, Any]: 重置后的配置字典
+        """
+        # 1. 重新加载配置对象，它应该处理环境变量和 .env 的优先级
+        _reload_settings()
+        logger.info("Settings object reloaded, prioritizing system environment variables then .env file.")
+
+        # 2. 重置并重新初始化 KeyManager
+        try:
+            await reset_key_manager_instance()
+            # 确保使用更新后的 settings 中的 API_KEYS
+            await get_key_manager_instance(settings.API_KEYS)
+            logger.info("KeyManager instance re-initialized with reloaded settings.")
+        except Exception as e:
+            logger.error(f"Failed to re-initialize KeyManager during reset: {str(e)}")
+            # 根据需要决定是否抛出异常或继续
+            # 这里选择记录错误并继续
+
+        # 3. 返回更新后的配置
+        return await ConfigService.get_config()
+
+# 重新加载配置的函数
+def _reload_settings():
+    """重新加载环境变量并更新配置"""
+    # 显式加载 .env 文件，覆盖现有环境变量
+    load_dotenv(find_dotenv(), override=True)
+    # 更新现有 settings 对象的属性，而不是新建实例
+    for key, value in ConfigSettings().model_dump().items():
+        setattr(settings, key, value)

app/service/embedding/embedding_service.py

@@ -0,0 +1,82 @@
+import datetime
+import time
+import re # For potential status code parsing from generic errors
+from typing import List, Union
+
+import openai
+from openai import APIStatusError # Import specific error type
+from openai.types import CreateEmbeddingResponse
+
+from app.config.config import settings
+from app.log.logger import get_embeddings_logger
+from app.database.services import add_error_log, add_request_log # Import DB logging functions
+
+logger = get_embeddings_logger()
+
+
+class EmbeddingService:
+
+    async def create_embedding(
+        self, input_text: Union[str, List[str]], model: str, api_key: str
+    ) -> CreateEmbeddingResponse:
+        """Create embeddings using OpenAI API with database logging"""
+        start_time = time.perf_counter()
+        request_datetime = datetime.datetime.now()
+        is_success = False
+        status_code = None
+        response = None
+        error_log_msg = ""
+        # Prepare request message for logging (truncate if list or long string)
+        if isinstance(input_text, list):
+            request_msg_log = {"input_truncated": [str(item)[:100] + "..." if len(str(item)) > 100 else str(item) for item in input_text[:5]]}
+            if len(input_text) > 5:
+                 request_msg_log["input_truncated"].append("...")
+        else:
+            request_msg_log = {"input_truncated": input_text[:1000] + "..." if len(input_text) > 1000 else input_text}
+
+
+        try:
+            client = openai.OpenAI(api_key=api_key, base_url=settings.BASE_URL)
+            response = client.embeddings.create(input=input_text, model=model)
+            is_success = True
+            status_code = 200 # Assume 200 OK on success
+            return response
+        except APIStatusError as e:
+            is_success = False
+            status_code = e.status_code
+            error_log_msg = f"OpenAI API error: {e}"
+            logger.error(f"Error creating embedding (APIStatusError): {error_log_msg}")
+            raise e # Re-raise the specific error
+        except Exception as e:
+            is_success = False
+            error_log_msg = f"Generic error: {e}"
+            logger.error(f"Error creating embedding (Exception): {error_log_msg}")
+            # Try to parse status code from generic error (less reliable)
+            match = re.search(r"status code (\d+)", str(e))
+            if match:
+                status_code = int(match.group(1))
+            else:
+                status_code = 500 # Default if parsing fails
+            raise e # Re-raise the generic error
+        finally:
+            end_time = time.perf_counter()
+            latency_ms = int((end_time - start_time) * 1000)
+            if not is_success:
+                 # Log error to database if it failed
+                 await add_error_log(
+                     gemini_key=api_key, # Using gemini_key parameter name for consistency
+                     model_name=model,
+                     error_type="openai-embedding",
+                     error_log=error_log_msg,
+                     error_code=status_code,
+                     request_msg=request_msg_log
+                 )
+            # Log request outcome to database regardless of success/failure
+            await add_request_log(
+                model_name=model,
+                api_key=api_key,
+                is_success=is_success,
+                status_code=status_code,
+                latency_ms=latency_ms,
+                request_time=request_datetime
+            )

app/service/image/image_create_service.py

@@ -1,14 +1,15 @@
+import base64
 import time
 import uuid
 
 from google import genai
 from google.genai import types
-import base64
 
-from app.core.config import settings
-from app.core.logger import get_image_create_logger
-from app.core.uploader import ImageUploaderFactory
-from app.schemas.openai_models import ImageGenerationRequest
+from app.config.config import settings
+from app.core.constants import VALID_IMAGE_RATIOS
+from app.domain.openai_models import ImageGenerationRequest
+from app.log.logger import get_image_create_logger
+from app.utils.uploader import ImageUploaderFactory
 
 logger = get_image_create_logger()
 
@@ -16,7 +17,6 @@ logger = get_image_create_logger()
 class ImageCreateService:
     def __init__(self, aspect_ratio="1:1"):
         self.image_model = settings.CREATE_IMAGE_MODEL
-        self.paid_key = settings.PAID_KEY
         self.aspect_ratio = aspect_ratio
 
     def parse_prompt_parameters(self, prompt: str) -> tuple:
@@ -26,35 +26,34 @@ class ImageCreateService:
         - {ratio:比例} 例如: {ratio:16:9} 使用16:9比例
         """
         import re
-        
+
         # 默认值
         n = 1
         aspect_ratio = self.aspect_ratio
-        
+
         # 解析n参数
-        n_match = re.search(r'{n:(\d+)}', prompt)
+        n_match = re.search(r"{n:(\d+)}", prompt)
         if n_match:
             n = int(n_match.group(1))
             if n < 1 or n > 4:
                 raise ValueError(f"Invalid n value: {n}. Must be between 1 and 4.")
-            prompt = prompt.replace(n_match.group(0), '').strip()
-            
-        # 解析ratio参数    
-        ratio_match = re.search(r'{ratio:(\d+:\d+)}', prompt)
+            prompt = prompt.replace(n_match.group(0), "").strip()
+
+        # 解析ratio参数
+        ratio_match = re.search(r"{ratio:(\d+:\d+)}", prompt)
         if ratio_match:
             aspect_ratio = ratio_match.group(1)
-            valid_ratios = ["1:1", "3:4", "4:3", "9:16", "16:9"]
-            if aspect_ratio not in valid_ratios:
+            if aspect_ratio not in VALID_IMAGE_RATIOS:
                 raise ValueError(
-                    f"Invalid ratio: {aspect_ratio}. Must be one of: {', '.join(valid_ratios)}"
+                    f"Invalid ratio: {aspect_ratio}. Must be one of: {', '.join(VALID_IMAGE_RATIOS)}"
                 )
-            prompt = prompt.replace(ratio_match.group(0), '').strip()
-            
+            prompt = prompt.replace(ratio_match.group(0), "").strip()
+
         return prompt, n, aspect_ratio
 
     def generate_images(self, request: ImageGenerationRequest):
-        client = genai.Client(api_key=self.paid_key)
-        
+        client = genai.Client(api_key=settings.PAID_KEY)
+
         if request.size == "1024x1024":
             self.aspect_ratio = "1:1"
         elif request.size == "1792x1024":
@@ -67,13 +66,15 @@ class ImageCreateService:
             )
 
         # 解析prompt中的参数
-        cleaned_prompt, prompt_n, prompt_ratio = self.parse_prompt_parameters(request.prompt)
+        cleaned_prompt, prompt_n, prompt_ratio = self.parse_prompt_parameters(
+            request.prompt
+        )
         request.prompt = cleaned_prompt
-        
+
         # 如果prompt中指定了n，则覆盖请求中的n
         if prompt_n > 1:
             request.n = prompt_n
-            
+
         # 如果prompt中指定了ratio，则覆盖默认的aspect_ratio
         if prompt_ratio != self.aspect_ratio:
             self.aspect_ratio = prompt_ratio
@@ -87,7 +88,6 @@ class ImageCreateService:
                 aspect_ratio=self.aspect_ratio,
                 safety_filter_level="BLOCK_LOW_AND_ABOVE",
                 person_generation="ALLOW_ADULT",
-                # language="auto"
             ),
         )
 
@@ -96,27 +96,49 @@ class ImageCreateService:
             for index, generated_image in enumerate(response.generated_images):
                 image_data = generated_image.image.image_bytes
                 image_uploader = None
-                if settings.UPLOAD_PROVIDER  == "smms":
-                    image_uploader = ImageUploaderFactory.create(provider=settings.UPLOAD_PROVIDER,api_key=settings.SMMS_SECRET_TOKEN)
+
+                if request.response_format == "b64_json":
+                    base64_image = base64.b64encode(image_data).decode("utf-8")
+                    images_data.append(
+                        {"b64_json": base64_image, "revised_prompt": request.prompt}
+                    )
+                else:
                     current_date = time.strftime("%Y/%m/%d")
                     filename = f"{current_date}/{uuid.uuid4().hex[:8]}.png"
-                    upload_response = image_uploader.upload(image_data,filename)
-                    
-                if request.response_format == "b64_json":
-                    base64_image = base64.b64encode(image_data).decode('utf-8')
-                    images_data.append({
-                        "b64_json": base64_image,
-                        "revised_prompt": request.prompt
-                    })
-                else:
-                    images_data.append({
-                        "url": f"{upload_response.data.url}",
-                        "revised_prompt": request.prompt
-                    })
+
+                    if settings.UPLOAD_PROVIDER == "smms":
+                        image_uploader = ImageUploaderFactory.create(
+                            provider=settings.UPLOAD_PROVIDER,
+                            api_key=settings.SMMS_SECRET_TOKEN,
+                        )
+                    elif settings.UPLOAD_PROVIDER == "picgo":
+                        image_uploader = ImageUploaderFactory.create(
+                            provider=settings.UPLOAD_PROVIDER,
+                            api_key=settings.PICGO_API_KEY,
+                        )
+                    elif settings.UPLOAD_PROVIDER == "cloudflare_imgbed":
+                        image_uploader = ImageUploaderFactory.create(
+                            provider=settings.UPLOAD_PROVIDER,
+                            base_url=settings.CLOUDFLARE_IMGBED_URL,
+                            auth_code=settings.CLOUDFLARE_IMGBED_AUTH_CODE,
+                        )
+                    else:
+                        raise ValueError(
+                            f"Unsupported upload provider: {settings.UPLOAD_PROVIDER}"
+                        )
+
+                    upload_response = image_uploader.upload(image_data, filename)
+
+                    images_data.append(
+                        {
+                            "url": f"{upload_response.data.url}",
+                            "revised_prompt": request.prompt,
+                        }
+                    )
 
             response_data = {
                 "created": int(time.time()),  # Current timestamp
-                "data": images_data
+                "data": images_data,
             }
             return response_data
         else:
@@ -128,9 +150,13 @@ class ImageCreateService:
         if image_datas:
             markdown_images = []
             for index, image_data in enumerate(image_datas):
-                if 'url' in image_data:
-                    markdown_images.append(f"![Generated Image {index+1}]({image_data['url']})")
+                if "url" in image_data:
+                    markdown_images.append(
+                        f"![Generated Image {index+1}]({image_data['url']})"
+                    )
                 else:
                     # 如果是base64格式，创建data URL
-                    markdown_images.append(f"![Generated Image {index+1}](data:image/png;base64,{image_data['b64_json']})")
+                    markdown_images.append(
+                        f"![Generated Image {index+1}](data:image/png;base64,{image_data['b64_json']})"
+                    )
             return "\n".join(markdown_images)

app/service/key/key_manager.py

@@ -1,10 +1,11 @@
 import asyncio
 from itertools import cycle
 from typing import Dict
-from app.core.logger import get_key_manager_logger
-from app.core.config import settings
 
 
+from app.config.config import settings
+from app.log.logger import get_key_manager_logger
+
 logger = get_key_manager_logger()
 
 
@@ -20,7 +21,7 @@ class KeyManager:
 
     async def get_paid_key(self) -> str:
         return self.paid_key
-        
+
     async def get_next_key(self) -> str:
         """获取下一个API key"""
         async with self.key_cycle_lock:
@@ -36,6 +37,16 @@ class KeyManager:
         async with self.failure_count_lock:
             for key in self.key_failure_counts:
                 self.key_failure_counts[key] = 0
+                
+    async def reset_key_failure_count(self, key: str) -> bool:
+        """重置指定key的失败计数"""
+        async with self.failure_count_lock:
+            if key in self.key_failure_counts:
+                self.key_failure_counts[key] = 0
+                logger.info(f"Reset failure count for key: {key}")
+                return True
+            logger.warning(f"Attempt to reset failure count for non-existent key: {key}")
+            return False
 
     async def get_next_working_key(self) -> str:
         """获取下一可用的API key"""
@@ -51,7 +62,7 @@ class KeyManager:
                 # await self.reset_failure_counts() 取消重置
                 return current_key
 
-    async def handle_api_failure(self, api_key: str) -> str:
+    async def handle_api_failure(self, api_key: str,retries: int) -> str:
         """处理API调用失败"""
         async with self.failure_count_lock:
             self.key_failure_counts[api_key] += 1
@@ -59,8 +70,10 @@ class KeyManager:
                 logger.warning(
                     f"API key {api_key} has failed {self.MAX_FAILURES} times"
                 )
-
-        return await self.get_next_working_key()
+        if retries < settings.MAX_RETRIES:
+            return await self.get_next_working_key()
+        else: 
+            return ""
 
     def get_fail_count(self, key: str) -> int:
         """获取指定密钥的失败次数"""
@@ -70,7 +83,7 @@ class KeyManager:
         """获取分类后的API key列表，包括失败次数"""
         valid_keys = {}
         invalid_keys = {}
-        
+
         async with self.failure_count_lock:
             for key in self.api_keys:
                 fail_count = self.key_failure_counts[key]
@@ -78,16 +91,21 @@ class KeyManager:
                     valid_keys[key] = fail_count
                 else:
                     invalid_keys[key] = fail_count
-        
-        return {
-            "valid_keys": valid_keys,
-            "invalid_keys": invalid_keys
-        }
-        
-        
+
+        return {"valid_keys": valid_keys, "invalid_keys": invalid_keys}
+
+    async def get_first_valid_key(self) -> str:
+        """获取第一个有效的API key"""
+        async with self.failure_count_lock:
+            for key in self.key_failure_counts:
+                if self.key_failure_counts[key] < self.MAX_FAILURES:
+                    return key
+        return self.api_keys[0]
+
 _singleton_instance = None
 _singleton_lock = asyncio.Lock()
 
+
 async def get_key_manager_instance(api_keys: list = None) -> KeyManager:
     """
     获取 KeyManager 单例实例。
@@ -102,4 +120,14 @@ async def get_key_manager_instance(api_keys: list = None) -> KeyManager:
             if api_keys is None:
                 raise ValueError("API keys are required to initialize the KeyManager")
             _singleton_instance = KeyManager(api_keys)
+            logger.info("KeyManager instance created.")
         return _singleton_instance
+
+    
+async def reset_key_manager_instance():
+    """重置 KeyManager 单例实例"""
+    global _singleton_instance
+    async with _singleton_lock:
+        if _singleton_instance:
+            _singleton_instance = None
+            logger.info("KeyManager instance reset.")

app/service/model/model_service.py

@@ -1,23 +1,32 @@
-import requests
 from datetime import datetime, timezone
-from typing import Optional, Dict, Any
-from app.core.logger import get_model_logger
-from app.core.config import settings
+from typing import Any, Dict, Optional
+
+import requests
+
+from app.config.config import settings
+from app.log.logger import get_model_logger
 
 logger = get_model_logger()
 
-class ModelService:
-    def __init__(self, model_search: list):
-        self.model_search = model_search
-        self.base_url = "https://generativelanguage.googleapis.com/v1beta"
 
+class ModelService:
     def get_gemini_models(self, api_key: str) -> Optional[Dict[str, Any]]:
-        url = f"{self.base_url}/models?key={api_key}"
+        url = f"{settings.BASE_URL}/models?key={api_key}"
 
         try:
             response = requests.get(url)
             if response.status_code == 200:
                 gemini_models = response.json()
+
+                filtered_models_list = []
+                for model in gemini_models.get("models", []):
+                    model_id = model["name"].split("/")[-1]
+                    if model_id not in settings.FILTERED_MODELS:
+                        filtered_models_list.append(model)
+                    else:
+                        logger.debug(f"Filtered out model: {model_id}")
+
+                gemini_models["models"] = filtered_models_list
                 return gemini_models
             else:
                 logger.error(f"Error: {response.status_code}")
@@ -36,7 +45,7 @@ class ModelService:
             return None
 
     def convert_to_openai_models_format(
-            self, gemini_models: Dict[str, Any]
+        self, gemini_models: Dict[str, Any]
     ) -> Dict[str, Any]:
         openai_format = {"object": "list", "data": [], "success": True}
 
@@ -53,13 +62,35 @@ class ModelService:
             }
             openai_format["data"].append(openai_model)
 
-            if model_id in self.model_search:
+            if model_id in settings.SEARCH_MODELS:
                 search_model = openai_model.copy()
                 search_model["id"] = f"{model_id}-search"
                 openai_format["data"].append(search_model)
+            if model_id in settings.IMAGE_MODELS:
+                image_model = openai_model.copy()
+                image_model["id"] = f"{model_id}-image"
+                openai_format["data"].append(image_model)
+            if model_id in settings.THINKING_MODELS:
+                non_thinking_model = openai_model.copy()
+                non_thinking_model["id"] = f"{model_id}-non-thinking"
+                openai_format["data"].append(non_thinking_model)
 
         if settings.CREATE_IMAGE_MODEL:
             image_model = openai_model.copy()
             image_model["id"] = f"{settings.CREATE_IMAGE_MODEL}-chat"
             openai_format["data"].append(image_model)
         return openai_format
+
+    def check_model_support(self, model: str) -> bool:
+        if not model or not isinstance(model, str):
+            return False
+
+        model = model.strip()
+        if model.endswith("-search"):
+            model = model[:-7]
+            return model in settings.SEARCH_MODELS
+        if model.endswith("-image"):
+            model = model[:-6]
+            return model in settings.IMAGE_MODELS
+
+        return model not in settings.FILTERED_MODELS

app/service/stats_service.py

@@ -0,0 +1,174 @@
+# app/service/stats_service.py
+
+import datetime
+from sqlalchemy import select, func
+
+from app.database.connection import database
+from app.database.models import RequestLog
+from app.log.logger import get_stats_logger
+
+logger = get_stats_logger()
+
+
+class StatsService:
+    """Service class for handling statistics related operations."""
+
+    async def get_calls_in_last_seconds(self, seconds: int) -> int:
+        """获取过去 N 秒内的调用次数 (包括成功和失败)"""
+        try:
+            cutoff_time = datetime.datetime.now() - datetime.timedelta(seconds=seconds)
+            query = select(func.count(RequestLog.id)).where(
+                RequestLog.request_time >= cutoff_time
+            )
+            count_result = await database.fetch_one(query)
+            return count_result[0] if count_result else 0
+        except Exception as e:
+            logger.error(f"Failed to get calls in last {seconds} seconds: {e}")
+            return 0 # Return 0 on error
+
+    async def get_calls_in_last_minutes(self, minutes: int) -> int:
+        """获取过去 N 分钟内的调用次数 (包括成功和失败)"""
+        return await self.get_calls_in_last_seconds(minutes * 60)
+
+    async def get_calls_in_last_hours(self, hours: int) -> int:
+        """获取过去 N 小时内的调用次数 (包括成功和失败)"""
+        return await self.get_calls_in_last_seconds(hours * 3600)
+
+    async def get_calls_in_current_month(self) -> int:
+        """获取当前自然月内的调用次数 (包括成功和失败)"""
+        try:
+            now = datetime.datetime.now()
+            start_of_month = now.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
+            query = select(func.count(RequestLog.id)).where(
+                RequestLog.request_time >= start_of_month
+            )
+            count_result = await database.fetch_one(query)
+            return count_result[0] if count_result else 0
+        except Exception as e:
+            logger.error(f"Failed to get calls in current month: {e}")
+            return 0 # Return 0 on error
+
+    async def get_api_usage_stats(self) -> dict:
+        """获取所有需要的 API 使用统计数据"""
+        try:
+            calls_1m = await self.get_calls_in_last_minutes(1)
+            calls_1h = await self.get_calls_in_last_hours(1)
+            calls_24h = await self.get_calls_in_last_hours(24)
+            calls_month = await self.get_calls_in_current_month()
+
+            return {
+                "calls_1m": calls_1m,
+                "calls_1h": calls_1h,
+                "calls_24h": calls_24h,
+                "calls_month": calls_month,
+            }
+        except Exception as e:
+            logger.error(f"Failed to get API usage stats: {e}")
+            # Return default values on error
+            return {
+                "calls_1m": 0,
+                "calls_1h": 0,
+                "calls_24h": 0,
+                "calls_month": 0,
+            }
+
+
+    async def get_api_call_details(self, period: str) -> list[dict]:
+        """
+        获取指定时间段内的 API 调用详情
+
+        Args:
+            period: 时间段标识 ('1m', '1h', '24h')
+
+        Returns:
+            包含调用详情的字典列表，每个字典包含 timestamp, key, model, status
+
+        Raises:
+            ValueError: 如果 period 无效
+        """
+        now = datetime.datetime.now()
+        if period == '1m':
+            start_time = now - datetime.timedelta(minutes=1)
+        elif period == '1h':
+            start_time = now - datetime.timedelta(hours=1)
+        elif period == '24h':
+            start_time = now - datetime.timedelta(hours=24)
+        else:
+            raise ValueError(f"无效的时间段标识: {period}")
+
+        try:
+            query = select(
+                RequestLog.request_time.label("timestamp"),
+                RequestLog.api_key.label("key"),
+                RequestLog.model_name.label("model"),
+                RequestLog.status_code # We might need to map this to 'success'/'failure' later
+            ).where(
+                RequestLog.request_time >= start_time
+            ).order_by(RequestLog.request_time.desc()) # Order by most recent first
+
+            results = await database.fetch_all(query)
+
+            # Convert results to list of dicts and map status_code
+            details = []
+            for row in results:
+                status = 'failure' # 默认状态为 failure，如果 status_code 有效且在 200-299 范围内则更新为 success
+                if row['status_code'] is not None: # 检查 status_code 是否为空
+                    status = 'success' if 200 <= row['status_code'] < 300 else 'failure'
+                details.append({
+                    "timestamp": row['timestamp'].isoformat(), # Use ISO format for JS compatibility
+                    "key": row['key'],
+                    "model": row['model'],
+                    "status": status
+                })
+            logger.info(f"Retrieved {len(details)} API call details for period '{period}'")
+            return details
+
+        except Exception as e:
+            logger.error(f"Failed to get API call details for period '{period}': {e}")
+            # Re-raise the exception to be handled by the route
+            raise
+
+    async def get_key_usage_details_last_24h(self, key: str) -> dict | None:
+        """
+        获取指定 API 密钥在过去 24 小时内按模型统计的调用次数。
+
+        Args:
+            key: 要查询的 API 密钥。
+
+        Returns:
+            一个字典，其中键是模型名称，值是调用次数。
+            如果查询出错或没有找到记录，可能返回 None 或空字典。
+            Example: {"gemini-pro": 10, "gemini-1.5-pro-latest": 5}
+        """
+        logger.info(f"Fetching usage details for key ending in ...{key[-4:]} for the last 24h.")
+        cutoff_time = datetime.datetime.now() - datetime.timedelta(hours=24)
+
+        try:
+            query = select(
+                RequestLog.model_name,
+                func.count(RequestLog.id).label("call_count")
+            ).where(
+                RequestLog.api_key == key,
+                RequestLog.request_time >= cutoff_time,
+                RequestLog.model_name.isnot(None) # Ensure model_name is not null
+            ).group_by(
+                RequestLog.model_name
+            ).order_by(
+                func.count(RequestLog.id).desc() # Order by count descending
+            )
+
+            results = await database.fetch_all(query)
+
+            if not results:
+                logger.info(f"No usage details found for key ending in ...{key[-4:]} in the last 24h.")
+                return {} # Return empty dict if no records found
+
+            usage_details = {row['model_name']: row['call_count'] for row in results}
+            logger.info(f"Successfully fetched usage details for key ending in ...{key[-4:]}: {usage_details}")
+            return usage_details
+
+        except Exception as e:
+            logger.error(f"Failed to get key usage details for key ending in ...{key[-4:]}: {e}", exc_info=True)
+            # Depending on requirements, you might return None or raise the exception
+            # Raising allows the route handler to return a 500 error.
+            raise # Re-raise the exception

app/service/update/update_service.py

@@ -0,0 +1,108 @@
+import httpx
+from packaging import version
+from typing import Optional, Tuple
+
+from app.config.config import settings
+from app.log.logger import get_update_logger
+
+logger = get_update_logger()
+
+# GitHub repository details are read from settings (defined in app/config/config.py or environment variables)
+
+# GITHUB_API_URL will be constructed inside the function to ensure settings are loaded
+
+VERSION_FILE_PATH = "VERSION" # Path relative to project root
+
+async def check_for_updates() -> Tuple[bool, Optional[str], Optional[str]]:
+    """
+    通过比较当前版本与最新的 GitHub release 来检查应用程序更新。
+
+    Returns:
+        Tuple[bool, Optional[str], Optional[str]]: 一个元组，包含：
+            - bool: 如果有可用更新则为 True，否则为 False。
+            - Optional[str]: 如果有可用更新，则为最新的版本字符串，否则为 None。
+            - Optional[str]: 如果检查失败，则为错误消息，否则为 None。
+    """
+    try:
+        # Read current version from VERSION file
+        # Ensure the path is correct relative to the execution context or use absolute path if needed
+        # Assuming execution from project root d:/develop/pythonProjects/gemini-balance
+        with open(VERSION_FILE_PATH, 'r', encoding='utf-8') as f:
+            current_v = f.read().strip()
+        if not current_v:
+            logger.error(f"VERSION file ('{VERSION_FILE_PATH}') is empty.")
+            return False, None, f"VERSION file ('{VERSION_FILE_PATH}') is empty."
+    except FileNotFoundError:
+        logger.error(f"VERSION file not found at '{VERSION_FILE_PATH}'. Make sure it exists in the project root.")
+        return False, None, f"VERSION file not found at '{VERSION_FILE_PATH}'."
+    except IOError as e:
+        logger.error(f"Error reading VERSION file ('{VERSION_FILE_PATH}'): {e}")
+        return False, None, f"Error reading VERSION file ('{VERSION_FILE_PATH}')."
+
+    logger.info(f"当前应用程序版本 (from {VERSION_FILE_PATH}): {current_v}")
+
+    # Check if repository details are configured in settings
+    if not settings.GITHUB_REPO_OWNER or not settings.GITHUB_REPO_NAME or \
+       settings.GITHUB_REPO_OWNER == "your_owner" or settings.GITHUB_REPO_NAME == "your_repo":
+        logger.warning("GitHub repository owner/name not configured in settings. Skipping update check.")
+        return False, None, "Update check skipped: Repository not configured in settings."
+
+    # Construct the API URL inside the function to ensure settings are loaded
+    github_api_url = f"https://api.github.com/repos/{settings.GITHUB_REPO_OWNER}/{settings.GITHUB_REPO_NAME}/releases/latest"
+    logger.debug(f"Checking for updates at URL: {github_api_url}") # Log the URL for debugging
+
+    try:
+        async with httpx.AsyncClient(timeout=10.0) as client:
+            # 添加 User-Agent 头，GitHub API 可能需要
+            headers = {
+                "Accept": "application/vnd.github.v3+json",
+                "User-Agent": f"{settings.GITHUB_REPO_NAME}-UpdateChecker/1.0" # Use repo name from settings for User-Agent
+            }
+            response = await client.get(github_api_url, headers=headers) # Use the locally constructed URL
+            response.raise_for_status() # 对错误的 HTTP 状态码（4xx 或 5xx）抛出异常
+
+            latest_release = response.json()
+            latest_v_str = latest_release.get("tag_name")
+
+            if not latest_v_str:
+                logger.warning("在最新的 GitHub release 响应中找不到 'tag_name'。")
+                return False, None, "无法从 GitHub 解析最新版本。"
+
+            # 移除 tag 名称中可能存在的 'v' 前缀
+            if latest_v_str.startswith('v'):
+                latest_v_str = latest_v_str[1:]
+
+            logger.info(f"在 GitHub 上找到的最新版本: {latest_v_str}")
+
+            # 比较版本
+            current_version = version.parse(current_v)
+            latest_version = version.parse(latest_v_str)
+
+            if latest_version > current_version:
+                logger.info(f"有可用更新: {current_v} -> {latest_v_str}")
+                return True, latest_v_str, None
+            else:
+                logger.info("应用程序已是最新版本。")
+                return False, None, None
+
+    except httpx.HTTPStatusError as e:
+        logger.error(f"检查更新时发生 HTTP 错误: {e.response.status_code} - {e.response.text}")
+        # 避免向用户显示详细的错误文本
+        error_msg = f"获取更新信息失败 (HTTP {e.response.status_code})。"
+        if e.response.status_code == 404:
+            error_msg += " 请检查仓库名称是否正确或仓库是否有发布版本。"
+        elif e.response.status_code == 403:
+             error_msg += " API 速率限制或权限问题。"
+        return False, None, error_msg
+    except httpx.RequestError as e:
+        logger.error(f"检查更新时发生网络错误: {e}")
+        return False, None, "更新检查期间发生网络错误。"
+    except version.InvalidVersion:
+        # Note: latest_v_str might not be defined if the error occurs before fetching it.
+        # Consider adding a check or default value for logging.
+        latest_v_str_for_log = latest_v_str if 'latest_v_str' in locals() else 'N/A'
+        logger.error(f"发现无效的版本格式。当前 (from {VERSION_FILE_PATH}): '{current_v}', 最新: '{latest_v_str_for_log}'")
+        return False, None, "遇到无效的版本格式。"
+    except Exception as e:
+        logger.error(f"更新检查期间发生意外错误: {e}", exc_info=True)
+        return False, None, "发生意外错误。"

app/services/chat/message_converter.py

@@ -1,53 +0,0 @@
-# app/services/chat/message_converter.py
-
-from abc import ABC, abstractmethod
-from typing import List, Dict, Any
-
-
-class MessageConverter(ABC):
-    """消息转换器基类"""
-
-    @abstractmethod
-    def convert(self, messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
-        pass
-
-
-def _convert_image(image_url: str) -> Dict[str, Any]:
-    if image_url.startswith("data:image"):
-        return {
-            "inline_data": {
-                "mime_type": "image/jpeg",
-                "data": image_url.split(",")[1]
-            }
-        }
-    return {
-        "image_url": {
-            "url": image_url
-        }
-    }
-
-
-class OpenAIMessageConverter(MessageConverter):
-    """OpenAI消息格式转换器"""
-
-    def convert(self, messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
-        converted_messages = []
-        for msg in messages:
-            role = "user" if msg["role"] == "user" else "model"
-            parts = []
-
-            if isinstance(msg["content"], str):
-                parts.append({"text": msg["content"]})
-            elif isinstance(msg["content"], list):
-                for content in msg["content"]:
-                    if isinstance(content, str):
-                        parts.append({"text": content})
-                    elif isinstance(content, dict):
-                        if content["type"] == "text":
-                            parts.append({"text": content["text"]})
-                        elif content["type"] == "image_url":
-                            parts.append(_convert_image(content["image_url"]["url"]))
-
-            converted_messages.append({"role": role, "parts": parts})
-
-        return converted_messages

app/services/chat/retry_handler.py

@@ -1,41 +0,0 @@
-# app/services/chat/retry_handler.py
-
-from typing import TypeVar, Callable
-from functools import wraps
-from app.core.logger import get_retry_logger
-from app.services.key_manager import KeyManager
-
-T = TypeVar('T')
-logger = get_retry_logger()
-
-
-class RetryHandler:
-    """重试处理装饰器"""
-
-    def __init__(self, max_retries: int = 3, key_manager: KeyManager = None, key_arg: str = "api_key"):
-        self.max_retries = max_retries
-        self.key_manager = key_manager
-        self.key_arg = key_arg
-
-    def __call__(self, func: Callable[..., T]) -> Callable[..., T]:
-        @wraps(func)
-        async def wrapper(*args, **kwargs) -> T:
-            last_exception = None
-
-            for attempt in range(self.max_retries):
-                try:
-                    return await func(*args, **kwargs)
-                except Exception as e:
-                    last_exception = e
-                    logger.warning(f"API call failed with error: {str(e)}. Attempt {attempt + 1} of {self.max_retries}")
-
-                    if self.key_manager:
-                        old_key = kwargs.get(self.key_arg)
-                        new_key = await self.key_manager.handle_api_failure(old_key)
-                        kwargs[self.key_arg] = new_key
-                        logger.info(f"Switched to new API key: {new_key}")
-
-            logger.error(f"All retry attempts failed, raising final exception: {str(last_exception)}")
-            raise last_exception
-
-        return wrapper

app/services/embedding_service.py

@@ -1,25 +0,0 @@
-from typing import Union, List
-
-import openai
-from openai.types import CreateEmbeddingResponse
-
-from app.core.logger import get_embeddings_logger
-
-logger = get_embeddings_logger()
-
-
-class EmbeddingService:
-    def __init__(self, base_url: str):
-        self.base_url = base_url
-
-    async def create_embedding(
-        self, input_text: Union[str, List[str]], model: str, api_key: str
-    ) -> CreateEmbeddingResponse:
-        """Create embeddings using OpenAI API"""
-        try:
-            client = openai.OpenAI(api_key=api_key, base_url=self.base_url)
-            response = client.embeddings.create(input=input_text, model=model)
-            return response
-        except Exception as e:
-            logger.error(f"Error creating embedding: {str(e)}")
-            raise

app/services/gemini_chat_service.py

@@ -1,104 +0,0 @@
-# app/services/chat_service.py
-
-import json
-from typing import Dict, Any, AsyncGenerator, List
-from app.core.logger import get_gemini_logger
-from app.services.chat.api_client import GeminiApiClient
-from app.schemas.gemini_models import GeminiRequest
-from app.core.config import settings
-from app.services.chat.response_handler import GeminiResponseHandler
-from app.services.key_manager import KeyManager
-
-logger = get_gemini_logger()
-
-
-def _has_image_parts(contents: List[Dict[str, Any]]) -> bool:
-    """判断消息是否包含图片部分"""
-    for content in contents:
-        if "parts" in content:
-            for part in content["parts"]:
-                if "image_url" in part or "inline_data" in part:
-                    return True
-    return False
-
-
-def _build_tools(model: str, payload: Dict[str, Any]) -> List[Dict[str, Any]]:
-    """构建工具"""
-    tools = []
-    if settings.TOOLS_CODE_EXECUTION_ENABLED and not (
-            model.endswith("-search") or "-thinking" in model
-    ) and not _has_image_parts(payload.get("contents", [])):
-        tools.append({"code_execution": {}})
-    if model.endswith("-search"):
-        tools.append({"googleSearch": {}})
-    return tools
-
-
-def _get_safety_settings(model: str) -> List[Dict[str, str]]:
-    """获取安全设置"""
-    if model == "gemini-2.0-flash-exp":
-        return [
-            {"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"}
-        ]
-    return [
-        {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
-        {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
-        {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
-        {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
-        {"category": "HARM_CATEGORY_CIVIC_INTEGRITY", "threshold": "BLOCK_NONE"}
-    ]
-
-
-def _build_payload(model: str, request: GeminiRequest) -> Dict[str, Any]:
-    """构建请求payload"""
-    payload = request.model_dump()
-    return {
-        "contents": payload.get("contents", []),
-        "tools": _build_tools(model, payload),
-        "safetySettings": _get_safety_settings(model),
-        "generationConfig": payload.get("generationConfig", {}),
-        "systemInstruction": payload.get("systemInstruction", [])
-    }
-
-
-class GeminiChatService:
-    """聊天服务"""
-
-    def __init__(self, base_url: str, key_manager: KeyManager):
-        self.api_client = GeminiApiClient(base_url)
-        self.key_manager = key_manager
-        self.response_handler = GeminiResponseHandler()
-
-    def generate_content(self, model: str, request: GeminiRequest, api_key: str) -> Dict[str, Any]:
-        """生成内容"""
-        payload = _build_payload(model, request)
-        response = self.api_client.generate_content(payload, model, api_key)
-        return self.response_handler.handle_response(response, model, stream=False)
-
-    async def stream_generate_content(self, model: str, request: GeminiRequest, api_key: str) -> AsyncGenerator[str, None]:
-        """流式生成内容"""
-        retries = 0
-        max_retries = 3
-        payload = _build_payload(model, request)
-        while retries < max_retries:
-            try:
-                async for line in self.api_client.stream_generate_content(payload, model, api_key):
-                    # print(line)
-                    if line.startswith("data:"):
-                        line = line[6:]
-                        line = json.dumps(self.response_handler.handle_response(json.loads(line), model, stream=True))
-                        yield "data: " + line + "\n\n"
-                logger.info("Streaming completed successfully")
-                break
-            except Exception as e:
-                retries += 1
-                logger.warning(f"Streaming API call failed with error: {str(e)}. Attempt {retries} of {max_retries}")
-                api_key = await self.key_manager.handle_api_failure(api_key)
-                logger.info(f"Switched to new API key: {api_key}")
-                if retries >= max_retries:
-                    logger.error(f"Max retries ({max_retries}) reached for streaming. Raising error")
-                    break

app/services/openai_chat_service.py

@@ -1,192 +0,0 @@
-# app/services/chat_service.py
-
-import json
-from typing import Dict, Any, AsyncGenerator, List, Union
-from app.core.logger import get_openai_logger
-from app.services.chat.message_converter import OpenAIMessageConverter
-from app.services.chat.response_handler import OpenAIResponseHandler
-from app.services.chat.api_client import GeminiApiClient
-from app.schemas.openai_models import ChatRequest, ImageGenerationRequest
-from app.core.config import settings
-from app.services.image_create_service import ImageCreateService
-from app.services.key_manager import KeyManager
-
-logger = get_openai_logger()
-
-
-def _has_image_parts(contents: List[Dict[str, Any]]) -> bool:
-    """判断消息是否包含图片部分"""
-    for content in contents:
-        if "parts" in content:
-            for part in content["parts"]:
-                if "image_url" in part or "inline_data" in part:
-                    return True
-    return False
-
-
-def _build_tools(
-        request: ChatRequest, messages: List[Dict[str, Any]]
-) -> List[Dict[str, Any]]:
-    """构建工具"""
-    tools = []
-    model = request.model
-
-    if (
-            settings.TOOLS_CODE_EXECUTION_ENABLED
-            and not (model.endswith("-search") or "-thinking" in model)
-            and not _has_image_parts(messages)
-    ):
-        tools.append({"code_execution": {}})
-    if model.endswith("-search"):
-        tools.append({"googleSearch": {}})
-    return tools
-
-
-def _get_safety_settings(model: str) -> List[Dict[str, str]]:
-    """获取安全设置"""
-    # if (
-    #     "2.0" in model
-    #     and "gemini-2.0-flash-thinking-exp" not in model
-    #     and "gemini-2.0-pro-exp" not in model
-    # ):
-    if model == "gemini-2.0-flash-exp":
-        return [
-            {"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"},
-        ]
-    return [
-        {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
-        {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
-        {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
-        {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
-        {"category": "HARM_CATEGORY_CIVIC_INTEGRITY", "threshold": "BLOCK_NONE"},
-    ]
-
-
-def _build_payload(
-        request: ChatRequest, messages: List[Dict[str, Any]]
-) -> Dict[str, Any]:
-    """构建请求payload"""
-    return {
-        "contents": messages,
-        "generationConfig": {
-            "temperature": request.temperature,
-            "maxOutputTokens": request.max_tokens,
-            "stopSequences": request.stop,
-            "topP": request.top_p,
-            "topK": request.top_k,
-        },
-        "tools": _build_tools(request, messages),
-        "safetySettings": _get_safety_settings(request.model),
-    }
-
-
-class OpenAIChatService:
-    """聊天服务"""
-    def __init__(self, base_url: str, key_manager: KeyManager = None):
-        self.message_converter = OpenAIMessageConverter()
-        self.response_handler = OpenAIResponseHandler(config=None)
-        self.api_client = GeminiApiClient(base_url)
-        self.key_manager = key_manager
-        self.image_create_service = ImageCreateService()
-
-    async def create_chat_completion(
-            self,
-            request: ChatRequest,
-            api_key: str,
-    ) -> Union[Dict[str, Any], AsyncGenerator[str, None]]:
-        """创建聊天完成"""
-        # 转换消息格式
-        messages = self.message_converter.convert(request.messages)
-
-        # 构建请求payload
-        payload = _build_payload(request, messages)
-
-        if request.stream:
-            return self._handle_stream_completion(request.model, payload, api_key)
-        return self._handle_normal_completion(request.model, payload, api_key)
-
-    def _handle_normal_completion(
-            self, model: str, payload: Dict[str, Any], api_key: str
-    ) -> Dict[str, Any]:
-        """处理普通聊天完成"""
-        response = self.api_client.generate_content(payload, model, api_key)
-        return self.response_handler.handle_response(
-            response, model, stream=False, finish_reason="stop"
-        )
-
-    async def _handle_stream_completion(
-            self, model: str, payload: Dict[str, Any], api_key: str
-    ) -> AsyncGenerator[str, None]:
-        """处理流式聊天完成，添加重试逻辑"""
-        retries = 0
-        max_retries = 3
-        while retries < max_retries:
-            try:
-                async for line in self.api_client.stream_generate_content(
-                        payload, model, api_key
-                ):
-                    # print(line)
-                    if line.startswith("data:"):
-                        chunk = json.loads(line[6:])
-                        openai_chunk = self.response_handler.handle_response(
-                            chunk, model, stream=True, finish_reason=None
-                        )
-                        if openai_chunk:
-                            yield f"data: {json.dumps(openai_chunk)}\n\n"
-                yield f"data: {json.dumps(self.response_handler.handle_response({}, model, stream=True, finish_reason='stop'))}\n\n"
-                yield "data: [DONE]\n\n"
-                logger.info("Streaming completed successfully")
-                break  # 成功后退出循环
-            except Exception as e:
-                retries += 1
-                logger.warning(
-                    f"Streaming API call failed with error: {str(e)}. Attempt {retries} of {max_retries}"
-                )
-                api_key = await self.key_manager.handle_api_failure(api_key)
-                logger.info(f"Switched to new API key: {api_key}")
-                if retries >= max_retries:
-                    logger.error(
-                        f"Max retries ({max_retries}) reached for streaming. Raising error"
-                    )
-                    yield f"data: {json.dumps({'error': 'Streaming failed after retries'})}\n\n"
-                    yield "data: [DONE]\n\n"
-                    break
-
-    async def create_image_chat_completion(
-            self,
-            request: ChatRequest,
-    ) -> Union[Dict[str, Any], AsyncGenerator[str, None]]:
-        
-        image_generate_request = ImageGenerationRequest()
-        image_generate_request.prompt = request.messages[-1]["content"]
-        image_res = self.image_create_service.generate_images_chat(image_generate_request)
-        
-        if request.stream:
-            return self._handle_stream_image_completion(request.model,image_res)
-        else:
-            return self._handle_normal_image_completion(request.model,image_res)
-        
-    async def _handle_stream_image_completion(
-            self, model: str, image_data: str
-    ) -> AsyncGenerator[str, None]:
-        if image_data:
-            openai_chunk = self.response_handler.handle_image_chat_response(
-                image_data, model, stream=True, finish_reason=None
-            )
-            if openai_chunk:
-                yield f"data: {json.dumps(openai_chunk)}\n\n"
-        yield f"data: {json.dumps(self.response_handler.handle_response({}, model, stream=True, finish_reason='stop'))}\n\n"
-        yield "data: [DONE]\n\n"
-        logger.info("Image chat streaming completed successfully")
-    
-    def _handle_normal_image_completion(
-            self, model: str, image_data: str
-    ) -> Dict[str, Any]:
-        
-        return self.response_handler.handle_image_chat_response(
-            image_data, model, stream=False, finish_reason="stop"
-        )

app/static/js/config_editor.js

@@ -0,0 +1,990 @@
+document.addEventListener('DOMContentLoaded', function() {
+    // 初始化配置
+    initConfig();
+
+    // 标签切换
+    const tabButtons = document.querySelectorAll('.tab-btn');
+    tabButtons.forEach(button => {
+        button.addEventListener('click', function(e) {
+            // 防止事件冒泡
+            e.stopPropagation();
+            const tabId = this.getAttribute('data-tab');
+            switchTab(tabId);
+        });
+    });
+
+    // 上传提供商切换
+    const uploadProviderSelect = document.getElementById('UPLOAD_PROVIDER');
+    if (uploadProviderSelect) {
+        uploadProviderSelect.addEventListener('change', function() {
+            toggleProviderConfig(this.value);
+        });
+    }
+
+    // 切换按钮事件
+    const toggleSwitches = document.querySelectorAll('.toggle-switch');
+    toggleSwitches.forEach(toggleSwitch => {
+        toggleSwitch.addEventListener('click', function(e) {
+            // 防止事件冒泡
+            e.stopPropagation();
+            const checkbox = this.querySelector('input[type="checkbox"]');
+            if (checkbox) {
+                checkbox.checked = !checkbox.checked;
+            }
+        });
+    });
+
+    // 保存按钮
+    const saveBtn = document.getElementById('saveBtn');
+    if (saveBtn) {
+        saveBtn.addEventListener('click', saveConfig);
+    }
+
+    // 重置按钮
+    const resetBtn = document.getElementById('resetBtn');
+    if (resetBtn) {
+        resetBtn.addEventListener('click', resetConfig);
+    }
+
+    // 滚动按钮
+    window.addEventListener('scroll', toggleScrollButtons);
+
+    // --- 新增：API Key 模态框和搜索相关 ---
+    const apiKeyModal = document.getElementById('apiKeyModal');
+    const addApiKeyBtn = document.getElementById('addApiKeyBtn');
+    const closeApiKeyModalBtn = document.getElementById('closeApiKeyModalBtn');
+    const cancelAddApiKeyBtn = document.getElementById('cancelAddApiKeyBtn');
+    const confirmAddApiKeyBtn = document.getElementById('confirmAddApiKeyBtn');
+    const apiKeyBulkInput = document.getElementById('apiKeyBulkInput');
+    const apiKeySearchInput = document.getElementById('apiKeySearchInput');
+    const bulkDeleteApiKeyBtn = document.getElementById('bulkDeleteApiKeyBtn'); // 新增
+    const bulkDeleteApiKeyModal = document.getElementById('bulkDeleteApiKeyModal'); // 新增
+    const closeBulkDeleteModalBtn = document.getElementById('closeBulkDeleteModalBtn'); // 新增
+    const cancelBulkDeleteApiKeyBtn = document.getElementById('cancelBulkDeleteApiKeyBtn'); // 新增
+    const confirmBulkDeleteApiKeyBtn = document.getElementById('confirmBulkDeleteApiKeyBtn'); // 新增
+    const bulkDeleteApiKeyInput = document.getElementById('bulkDeleteApiKeyInput'); // 新增
+
+    // --- 新增：重置确认模态框相关 ---
+    const resetConfirmModal = document.getElementById('resetConfirmModal');
+    const closeResetModalBtn = document.getElementById('closeResetModalBtn');
+    const cancelResetBtn = document.getElementById('cancelResetBtn');
+    const confirmResetBtn = document.getElementById('confirmResetBtn');
+    // --- 结束：新增 ---
+
+
+    // 打开模态框
+    if (addApiKeyBtn) {
+        addApiKeyBtn.addEventListener('click', () => {
+            if (apiKeyModal) {
+                apiKeyModal.classList.add('show');
+            }
+            if (apiKeyBulkInput) apiKeyBulkInput.value = ''; // 清空输入框
+        });
+    }
+
+    // 关闭模态框 (X 按钮)
+    if (closeApiKeyModalBtn) {
+        closeApiKeyModalBtn.addEventListener('click', () => {
+            if (apiKeyModal) {
+                apiKeyModal.classList.remove('show');
+            }
+        });
+    }
+
+    // 关闭模态框 (取消按钮)
+    if (cancelAddApiKeyBtn) {
+        cancelAddApiKeyBtn.addEventListener('click', () => {
+            if (apiKeyModal) {
+                apiKeyModal.classList.remove('show');
+            }
+        });
+    }
+
+    // 点击模态框外部关闭 (处理两个模态框)
+    window.addEventListener('click', (event) => {
+        if (event.target == apiKeyModal) {
+            apiKeyModal.classList.remove('show');
+        }
+        if (event.target == resetConfirmModal) {
+            resetConfirmModal.classList.remove('show');
+        }
+        if (event.target == bulkDeleteApiKeyModal) { // 新增对批量删除模态框的处理
+            bulkDeleteApiKeyModal.classList.remove('show');
+        }
+    });
+
+    // 确认添加 API Key
+    if (confirmAddApiKeyBtn) {
+        confirmAddApiKeyBtn.addEventListener('click', handleBulkAddApiKeys);
+    }
+
+    // API Key 搜索 (稍后实现具体逻辑)
+    if (apiKeySearchInput) {
+        apiKeySearchInput.addEventListener('input', handleApiKeySearch);
+    }
+
+    // --- 新增：批量删除 API Key 相关事件 ---
+    // 打开批量删除模态框
+    if (bulkDeleteApiKeyBtn) {
+        bulkDeleteApiKeyBtn.addEventListener('click', () => {
+            if (bulkDeleteApiKeyModal) {
+                bulkDeleteApiKeyModal.classList.add('show');
+            }
+            if (bulkDeleteApiKeyInput) bulkDeleteApiKeyInput.value = ''; // 清空输入框
+        });
+    }
+
+    // 关闭批量删除模态框 (X 按钮)
+    if (closeBulkDeleteModalBtn) {
+        closeBulkDeleteModalBtn.addEventListener('click', () => {
+            if (bulkDeleteApiKeyModal) {
+                bulkDeleteApiKeyModal.classList.remove('show');
+            }
+        });
+    }
+
+    // 关闭批量删除模态框 (取消按钮)
+    if (cancelBulkDeleteApiKeyBtn) {
+        cancelBulkDeleteApiKeyBtn.addEventListener('click', () => {
+            if (bulkDeleteApiKeyModal) {
+                bulkDeleteApiKeyModal.classList.remove('show');
+            }
+        });
+    }
+
+    // 确认批量删除 API Key
+    if (confirmBulkDeleteApiKeyBtn) {
+        confirmBulkDeleteApiKeyBtn.addEventListener('click', handleBulkDeleteApiKeys);
+    }
+    // --- 结束：批量删除 API Key 相关 ---
+    // --- 结束：API Key 相关 ---
+
+    // --- 新增：重置确认模态框事件监听 (移到 DOMContentLoaded 内部) ---
+    if (closeResetModalBtn) {
+        closeResetModalBtn.addEventListener('click', () => {
+            if (resetConfirmModal) {
+                resetConfirmModal.classList.remove('show');
+            }
+        });
+    }
+    if (cancelResetBtn) {
+        cancelResetBtn.addEventListener('click', () => {
+            if (resetConfirmModal) {
+                resetConfirmModal.classList.remove('show');
+            }
+        });
+    }
+    if (confirmResetBtn) {
+        // 调用之前定义的 executeReset 函数
+        confirmResetBtn.addEventListener('click', () => {
+             if (resetConfirmModal) {
+                 resetConfirmModal.classList.remove('show'); // 关闭模态框
+             }
+             executeReset(); // 执行重置逻辑
+        });
+    }
+    // --- 结束：重置相关 ---
+
+    // 移除了静态生成令牌按钮的事件监听器，现在按钮是动态生成的
+
+    // 认证令牌生成按钮事件绑定
+    const generateAuthTokenBtn = document.getElementById('generateAuthTokenBtn');
+    const authTokenInput = document.getElementById('AUTH_TOKEN');
+    if (generateAuthTokenBtn && authTokenInput) {
+        generateAuthTokenBtn.addEventListener('click', function() {
+            const newToken = generateRandomToken();
+            authTokenInput.value = newToken;
+            showNotification('已生成新认证令牌', 'success');
+        });
+    }
+
+    // --- 修改：思考模型预算映射不再需要手动添加按钮 ---
+    // const addBudgetMapItemBtn = document.getElementById('addBudgetMapItemBtn');
+    // if (addBudgetMapItemBtn) {
+    //     addBudgetMapItemBtn.addEventListener('click', addBudgetMapItem);
+    // }
+    // --- 结束：思考模型预算映射相关 ---
+
+    // 添加事件委托，处理动态添加的 THINKING_MODELS 输入框的 input 事件
+    const thinkingModelsContainer = document.getElementById('THINKING_MODELS_container');
+    if (thinkingModelsContainer) {
+        thinkingModelsContainer.addEventListener('input', function(event) {
+            if (event.target && event.target.classList.contains('array-input') && event.target.closest('.array-item[data-model-id]')) {
+                const modelInput = event.target;
+                const modelId = modelInput.closest('.array-item').getAttribute('data-model-id');
+                const budgetKeyInput = document.querySelector(`.map-key-input[data-model-id="${modelId}"]`);
+                if (budgetKeyInput) {
+                    budgetKeyInput.value = modelInput.value;
+                }
+            }
+        });
+    }
+
+
+}); // <-- DOMContentLoaded 结束括号
+
+// --- 新增：生成唯一ID ---
+function generateUUID() {
+    return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
+        var r = Math.random() * 16 | 0, v = c == 'x' ? r : (r & 0x3 | 0x8);
+        return v.toString(16);
+    });
+}
+// --- 结束：生成唯一ID ---
+
+
+// 初始化配置
+async function initConfig() {
+    try {
+        showNotification('正在加载配置...', 'info');
+        const response = await fetch('/api/config');
+
+        if (!response.ok) {
+            throw new Error(`HTTP error! status: ${response.status}`);
+        }
+
+        const config = await response.json();
+
+        // 确保数组字段有默认值
+        if (!config.API_KEYS || !Array.isArray(config.API_KEYS) || config.API_KEYS.length === 0) {
+            config.API_KEYS = ['请在此处输入 API 密钥'];
+        }
+
+        if (!config.ALLOWED_TOKENS || !Array.isArray(config.ALLOWED_TOKENS) || config.ALLOWED_TOKENS.length === 0) {
+            config.ALLOWED_TOKENS = [''];
+        }
+
+        if (!config.IMAGE_MODELS || !Array.isArray(config.IMAGE_MODELS) || config.IMAGE_MODELS.length === 0) {
+            config.IMAGE_MODELS = ['gemini-1.5-pro-latest'];
+        }
+
+        if (!config.SEARCH_MODELS || !Array.isArray(config.SEARCH_MODELS) || config.SEARCH_MODELS.length === 0) {
+            config.SEARCH_MODELS = ['gemini-1.5-flash-latest'];
+        }
+
+        if (!config.FILTERED_MODELS || !Array.isArray(config.FILTERED_MODELS) || config.FILTERED_MODELS.length === 0) {
+            config.FILTERED_MODELS = ['gemini-1.0-pro-latest'];
+        }
+        // --- 新增：处理新字段的默认值 ---
+        if (!config.THINKING_MODELS || !Array.isArray(config.THINKING_MODELS)) {
+            config.THINKING_MODELS = []; // 默认为空数组
+        }
+        if (!config.THINKING_BUDGET_MAP || typeof config.THINKING_BUDGET_MAP !== 'object' || config.THINKING_BUDGET_MAP === null) {
+            config.THINKING_BUDGET_MAP = {}; // 默认为空对象
+        }
+        // --- 结束：处理新字段的默认值 ---
+
+        populateForm(config);
+
+        // 确保上传提供商有默认值
+        const uploadProvider = document.getElementById('UPLOAD_PROVIDER');
+        if (uploadProvider && !uploadProvider.value) {
+            uploadProvider.value = 'smms'; // 设置默认值为 smms
+            toggleProviderConfig('smms');
+        }
+
+        showNotification('配置加载成功', 'success');
+    } catch (error) {
+        console.error('加载配置失败:', error);
+        showNotification('加载配置失败: ' + error.message, 'error');
+
+        // 加载失败时，使用默认配置
+        const defaultConfig = {
+            API_KEYS: [''],
+            ALLOWED_TOKENS: [''],
+            IMAGE_MODELS: ['gemini-1.5-pro-latest'],
+            SEARCH_MODELS: ['gemini-1.5-flash-latest'],
+            FILTERED_MODELS: ['gemini-1.0-pro-latest'],
+            UPLOAD_PROVIDER: 'smms',
+            THINKING_MODELS: [],
+            THINKING_BUDGET_MAP: {}
+        };
+
+        populateForm(defaultConfig);
+        toggleProviderConfig('smms');
+    }
+}
+
+// 填充表单
+function populateForm(config) {
+    const modelIdMap = {}; // modelName -> modelId
+
+    // 1. Clear existing dynamic content first
+    const arrayContainers = document.querySelectorAll('.array-container');
+    arrayContainers.forEach(container => {
+        container.innerHTML = ''; // Clear all array containers
+    });
+    const budgetMapContainer = document.getElementById('THINKING_BUDGET_MAP_container');
+    if (budgetMapContainer) {
+        budgetMapContainer.innerHTML = ''; // Clear budget map container
+    } else {
+        console.error("Critical: THINKING_BUDGET_MAP_container not found!");
+        return; // Cannot proceed
+    }
+
+    // 2. Populate THINKING_MODELS and build the map
+    if (Array.isArray(config.THINKING_MODELS)) {
+        const container = document.getElementById('THINKING_MODELS_container');
+        if (container) {
+            config.THINKING_MODELS.forEach(modelName => {
+                if (modelName && typeof modelName === 'string' && modelName.trim()) {
+                    const trimmedModelName = modelName.trim();
+                    // Call addArrayItemWithValue to add the model DOM element and get its ID
+                    const modelId = addArrayItemWithValue('THINKING_MODELS', trimmedModelName);
+                    if (modelId) {
+                        modelIdMap[trimmedModelName] = modelId;
+                    } else {
+                         console.warn(`Failed to get modelId for THINKING_MODEL: '${trimmedModelName}'`);
+                    }
+                } else {
+                     console.warn(`Invalid THINKING_MODEL entry found:`, modelName);
+                }
+            });
+        } else {
+             console.error("Critical: THINKING_MODELS_container not found!");
+        }
+    }
+
+    // 3. Populate THINKING_BUDGET_MAP using the map
+    let budgetItemsAdded = false;
+    if (config.THINKING_BUDGET_MAP && typeof config.THINKING_BUDGET_MAP === 'object') {
+        for (const [modelName, budgetValue] of Object.entries(config.THINKING_BUDGET_MAP)) {
+             if (modelName && typeof modelName === 'string') {
+                const trimmedModelName = modelName.trim();
+                const modelId = modelIdMap[trimmedModelName]; // Look up the ID
+                if (modelId) {
+                    // Call the function specifically designed to add ONLY the budget map DOM element
+                    createAndAppendBudgetMapItem(trimmedModelName, budgetValue, modelId);
+                    budgetItemsAdded = true;
+                } else {
+                    // Log if a budget entry exists but its corresponding model wasn't found/added
+                    console.warn(`Budget map: Could not find model ID for '${trimmedModelName}'. Skipping budget item.`);
+                }
+            } else {
+                 console.warn(`Invalid key found in THINKING_BUDGET_MAP:`, modelName);
+            }
+        }
+    }
+    // Add placeholder only if no budget items were successfully added
+    if (!budgetItemsAdded && budgetMapContainer) {
+         budgetMapContainer.innerHTML = '<div class="text-gray-500 text-sm italic">请在上方添加思考模型，预算将自动关联。</div>';
+    }
+
+    // 4. Populate other array fields (excluding THINKING_MODELS)
+    for (const [key, value] of Object.entries(config)) {
+        if (Array.isArray(value) && key !== 'THINKING_MODELS') {
+            const container = document.getElementById(`${key}_container`);
+            if (container) {
+                // Container already cleared, just add items
+                value.forEach(itemValue => {
+                    if (typeof itemValue === 'string') {
+                         addArrayItemWithValue(key, itemValue); // This adds non-thinking model array items
+                    } else {
+                         console.warn(`Invalid item found in array '${key}':`, itemValue);
+                    }
+                });
+            }
+        }
+    }
+
+    // 5. Populate non-array/non-budget fields
+     for (const [key, value] of Object.entries(config)) {
+        if (!Array.isArray(value) && !(typeof value === 'object' && value !== null && key === 'THINKING_BUDGET_MAP')) {
+            const element = document.getElementById(key);
+            if (element) {
+                if (element.type === 'checkbox' && typeof value === 'boolean') {
+                    element.checked = value;
+                } else if (element.type !== 'checkbox') {
+                    if (key === 'LOG_LEVEL' && typeof value === 'string') {
+                        element.value = value.toUpperCase();
+                    } else {
+                        element.value = (value !== null && value !== undefined) ? value : '';
+                    }
+                }
+            }
+        }
+    }
+
+    // 6. Initialize upload provider
+    const uploadProvider = document.getElementById('UPLOAD_PROVIDER');
+    if (uploadProvider) {
+        toggleProviderConfig(uploadProvider.value);
+    }
+}
+
+// --- 新增：处理批量添加 API Key 的逻辑 ---
+function handleBulkAddApiKeys() {
+    const apiKeyBulkInput = document.getElementById('apiKeyBulkInput');
+    const apiKeyContainer = document.getElementById('API_KEYS_container');
+    const apiKeyModal = document.getElementById('apiKeyModal');
+
+    if (!apiKeyBulkInput || !apiKeyContainer || !apiKeyModal) return;
+
+    const bulkText = apiKeyBulkInput.value;
+    const keyRegex = /AIzaSy\S{33}/g; // 全局匹配
+    const extractedKeys = bulkText.match(keyRegex) || [];
+
+    // 获取当前已有的 keys
+    const currentKeyInputs = apiKeyContainer.querySelectorAll('.array-input');
+    const currentKeys = Array.from(currentKeyInputs).map(input => input.value).filter(key => key.trim() !== '');
+
+    // 合并并去重
+    const combinedKeys = new Set([...currentKeys, ...extractedKeys]);
+    const uniqueKeys = Array.from(combinedKeys);
+
+    // 清空现有列表显示
+    const existingItems = apiKeyContainer.querySelectorAll('.array-item');
+    existingItems.forEach(item => item.remove());
+
+    // 重新填充列表
+    uniqueKeys.forEach(key => {
+        addArrayItemWithValue('API_KEYS', key);
+    });
+
+    // 关闭模态框
+    apiKeyModal.classList.remove('show');
+    showNotification(`添加/更新了 ${uniqueKeys.length} 个唯一密钥`, 'success');
+}
+
+// --- 新增：处理 API Key 搜索的逻辑 ---
+function handleApiKeySearch() {
+    const apiKeySearchInput = document.getElementById('apiKeySearchInput');
+    const apiKeyContainer = document.getElementById('API_KEYS_container');
+
+    if (!apiKeySearchInput || !apiKeyContainer) return;
+
+    const searchTerm = apiKeySearchInput.value.toLowerCase();
+    const keyItems = apiKeyContainer.querySelectorAll('.array-item');
+
+    keyItems.forEach(item => {
+        const input = item.querySelector('.array-input');
+        if (input) {
+            const key = input.value.toLowerCase();
+            if (key.includes(searchTerm)) {
+                item.style.display = 'flex'; // 或者 'block'，取决于你的布局
+            } else {
+                item.style.display = 'none';
+            }
+        }
+    });
+}
+
+// --- 新增：处理批量删除 API Key 的逻辑 ---
+function handleBulkDeleteApiKeys() {
+    const bulkDeleteTextarea = document.getElementById('bulkDeleteApiKeyInput'); // Use the textarea ID
+    const apiKeyContainer = document.getElementById('API_KEYS_container');
+    const bulkDeleteModal = document.getElementById('bulkDeleteApiKeyModal');
+
+    if (!bulkDeleteTextarea || !apiKeyContainer || !bulkDeleteModal) return;
+
+    const bulkText = bulkDeleteTextarea.value;
+    if (!bulkText.trim()) {
+        showNotification('请粘贴需要删除的 API 密钥', 'warning');
+        return;
+    }
+
+    // Use the same regex as for adding keys to extract keys to delete
+    const keyRegex = /AIzaSy\S{33}/g;
+    const keysToDelete = new Set(bulkText.match(keyRegex) || []); // Create a Set for efficient lookup
+
+    if (keysToDelete.size === 0) {
+        showNotification('未在输入内容中提取到有效的 API 密钥格式', 'warning');
+        // Optionally clear the textarea or keep it as is
+        // bulkDeleteTextarea.value = '';
+        return;
+    }
+
+    const keyItems = apiKeyContainer.querySelectorAll('.array-item');
+    let deleteCount = 0;
+
+    keyItems.forEach(item => {
+        const input = item.querySelector('.array-input');
+        // Check if the input exists and its value is in the set of keys to delete
+        if (input && keysToDelete.has(input.value)) {
+            item.remove(); // Remove the entire array item element
+            deleteCount++;
+        }
+    });
+
+    // Close the modal
+    bulkDeleteModal.classList.remove('show');
+
+    // Provide feedback
+    if (deleteCount > 0) {
+        showNotification(`成功删除了 ${deleteCount} 个匹配的密钥`, 'success');
+    } else {
+        // This message implies keys were extracted but not found in the current list
+        showNotification('列表中未找到您输入的任何密钥进行删除', 'info');
+    }
+
+    // Clear the textarea after processing
+    bulkDeleteTextarea.value = '';
+}
+
+// 切换标签
+function switchTab(tabId) {
+    // 更新标签按钮状态
+    const tabButtons = document.querySelectorAll('.tab-btn');
+    tabButtons.forEach(button => {
+        if (button.getAttribute('data-tab') === tabId) {
+            // 激活状态：主色背景，白色文字，添加阴影
+            button.classList.remove('bg-white', 'bg-opacity-50', 'text-gray-700', 'hover:bg-opacity-70');
+            button.classList.add('bg-primary-600', 'text-white', 'shadow-md');
+        } else {
+            // 非激活状态：白色背景，灰色文字，无阴影
+            button.classList.remove('bg-primary-600', 'text-white', 'shadow-md');
+            button.classList.add('bg-white', 'bg-opacity-50', 'text-gray-700', 'hover:bg-opacity-70');
+        }
+    });
+
+    // 更新内容区域
+    const sections = document.querySelectorAll('.config-section');
+    sections.forEach(section => {
+        if (section.id === `${tabId}-section`) {
+            section.classList.add('active');
+        } else {
+            section.classList.remove('active');
+        }
+    });
+}
+
+// 切换上传提供商配置
+function toggleProviderConfig(provider) {
+    const providerConfigs = document.querySelectorAll('.provider-config');
+    providerConfigs.forEach(config => {
+        if (config.getAttribute('data-provider') === provider) {
+            config.classList.add('active');
+        } else {
+            config.classList.remove('active');
+        }
+    });
+}
+
+
+// 添加数组项
+function addArrayItem(key) {
+    const container = document.getElementById(`${key}_container`);
+    if (!container) return;
+
+    const newItemValue = ''; // Start with an empty value for new items
+    const modelId = addArrayItemWithValue(key, newItemValue); // Add the DOM element
+
+    // If it's a thinking model, also add the corresponding budget map item
+    if (key === 'THINKING_MODELS' && modelId) {
+        createAndAppendBudgetMapItem(newItemValue, 0, modelId); // Default budget 0
+    }
+}
+
+// 添加带值的数组项 (Adds array item DOM, returns modelId if it's a thinking model)
+function addArrayItemWithValue(key, value) {
+    const container = document.getElementById(`${key}_container`);
+    if (!container) return null;
+
+    const isThinkingModel = key === 'THINKING_MODELS';
+    const modelId = isThinkingModel ? generateUUID() : null;
+
+    const arrayItem = document.createElement('div');
+    // 主容器使用 Flexbox
+    arrayItem.className = 'array-item flex items-center mb-2 gap-2'; // 添加 gap-2 来分隔元素
+    if (isThinkingModel) {
+        arrayItem.setAttribute('data-model-id', modelId); // 添加ID属性
+    }
+
+
+    // 创建一个包装器 div 来包含输入框和生成按钮
+    const inputWrapper = document.createElement('div');
+    // 这个包装器占据主要空间，并使用 Flexbox
+    inputWrapper.className = 'flex items-center flex-grow border border-gray-300 rounded-md focus-within:border-primary-500 focus-within:ring focus-within:ring-primary-200 focus-within:ring-opacity-50';
+
+    const input = document.createElement('input');
+    input.type = 'text';
+    input.name = `${key}[]`;
+    input.value = value;
+    // 输入框占据包装器内的主要空间，移除边框和圆角，因为包装器已有
+    input.className = 'array-input flex-grow px-3 py-2 border-none rounded-l-md focus:outline-none'; // 移除右侧圆角
+    if (isThinkingModel) {
+         input.setAttribute('data-model-id', modelId); // 添加ID属性
+         input.placeholder = '思考模型名称'; // 添加占位符
+    }
+
+
+    inputWrapper.appendChild(input); // 将输入框添加到包装器
+
+    // 只为 ALLOWED_TOKENS 添加生成按钮
+    if (key === 'ALLOWED_TOKENS') {
+        const generateBtn = document.createElement('button');
+        generateBtn.type = 'button';
+        // 按钮样式，放在输入框右侧，有背景和内边距，调整颜色
+        generateBtn.className = 'generate-btn px-2 py-2 text-gray-500 hover:text-primary-600 focus:outline-none rounded-r-md bg-gray-100 hover:bg-gray-200 transition-colors'; // 添加背景和右侧圆角
+        generateBtn.innerHTML = '<i class="fas fa-dice"></i>';
+        generateBtn.title = '生成随机令牌';
+        generateBtn.addEventListener('click', function() {
+            const newToken = generateRandomToken();
+            input.value = newToken;
+            showNotification('已生成新令牌', 'success');
+        });
+        inputWrapper.appendChild(generateBtn); // 将生成按钮添加到包装器
+    } else {
+        // 如果不是 ALLOWED_TOKENS，确保输入框有右侧圆角
+        input.classList.add('rounded-r-md');
+    }
+
+    const removeBtn = document.createElement('button');
+    removeBtn.type = 'button';
+    // 删除按钮样式，保持不变
+    removeBtn.className = 'remove-btn text-gray-400 hover:text-red-500 focus:outline-none transition-colors duration-150';
+    removeBtn.innerHTML = '<i class="fas fa-trash-alt"></i>';
+    removeBtn.title = '删除';
+    removeBtn.addEventListener('click', function() {
+        const currentArrayItem = this.closest('.array-item');
+        if (isThinkingModel) {
+            const currentModelId = currentArrayItem.getAttribute('data-model-id');
+            // 查找并删除对应的预算映射项
+            const budgetMapItem = document.querySelector(`.map-item[data-model-id="${currentModelId}"]`);
+            if (budgetMapItem) {
+                budgetMapItem.remove();
+                 // 检查预算映射容器是否为空，如果是，则添加回占位符
+                const budgetContainer = document.getElementById('THINKING_BUDGET_MAP_container');
+                if (budgetContainer && budgetContainer.children.length === 0) {
+                    budgetContainer.innerHTML = '<div class="text-gray-500 text-sm italic">请在上方添加思考模型，预算将自动关联。</div>';
+                }
+            }
+        }
+        currentArrayItem.remove(); // 删除模型项本身
+    });
+
+    // 将包装器（包含输入框和可能的生成按钮）和删除按钮添加到主容器
+    arrayItem.appendChild(inputWrapper);
+    arrayItem.appendChild(removeBtn);
+
+    // 插入到容器末尾
+    container.appendChild(arrayItem);
+
+    // 返回生成的 ID (如果是思考模型) 或 null
+    return isThinkingModel ? modelId : null;
+    // Note: This function no longer automatically calls createAndAppendBudgetMapItem
+}
+
+
+// --- 新增：专门用于创建和添加预算映射 DOM 元素 ---
+function createAndAppendBudgetMapItem(mapKey, mapValue, modelId) {
+   const container = document.getElementById('THINKING_BUDGET_MAP_container');
+   if (!container) {
+       console.error("Cannot add budget item: THINKING_BUDGET_MAP_container not found!");
+       return;
+   }
+
+   // If container currently only has the placeholder, clear it
+   const placeholder = container.querySelector('.text-gray-500.italic');
+   // Check if the only child is the placeholder before clearing
+   if (placeholder && container.children.length === 1 && container.firstChild === placeholder) {
+       container.innerHTML = '';
+   }
+
+   const mapItem = document.createElement('div');
+   mapItem.className = 'map-item flex items-center mb-2 gap-2';
+   mapItem.setAttribute('data-model-id', modelId); // Add ID attribute
+
+   // Key Input (Model Name) - Read-only
+   const keyInput = document.createElement('input');
+   keyInput.type = 'text';
+   keyInput.value = mapKey;
+   keyInput.placeholder = '模型名称 (自动关联)';
+   keyInput.readOnly = true;
+   keyInput.className = 'map-key-input flex-grow px-3 py-2 border border-gray-300 rounded-md focus:outline-none bg-gray-100 text-gray-500';
+   keyInput.setAttribute('data-model-id', modelId);
+
+   // Value Input (Budget) - Integer
+   const valueInput = document.createElement('input');
+   valueInput.type = 'number';
+   // Ensure mapValue is treated as integer, default to 0 if invalid
+   const intValue = parseInt(mapValue, 10);
+   valueInput.value = isNaN(intValue) ? 0 : intValue;
+   valueInput.placeholder = '预算 (整数)';
+   valueInput.className = 'map-value-input w-24 px-3 py-2 border border-gray-300 rounded-md focus:outline-none focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50';
+   valueInput.min = 0; // 添加最小值
+   valueInput.max = 24576; // 添加最大值
+   valueInput.addEventListener('input', function() {
+        // 限制输入为0到24576之间的整数
+        let value = this.value.replace(/[^0-9]/g, '');
+        if (value !== '') {
+            value = parseInt(value, 10);
+            if (value < 0) value = 0;
+            if (value > 24576) value = 24576;
+        }
+        this.value = value;
+   });
+
+   // Remove Button - Removed for budget map items
+   // const removeBtn = document.createElement('button');
+   // removeBtn.type = 'button';
+   // removeBtn.className = 'remove-btn text-gray-300 cursor-not-allowed focus:outline-none'; // Kept original class for reference
+   // removeBtn.innerHTML = '<i class="fas fa-trash-alt"></i>';
+   // removeBtn.title = '请从上方模型列表删除';
+   // removeBtn.disabled = true;
+
+   mapItem.appendChild(keyInput);
+   mapItem.appendChild(valueInput);
+   // mapItem.appendChild(removeBtn); // Do not append the remove button
+
+   container.appendChild(mapItem);
+}
+// --- 结束：专门的预算映射项创建函数 ---
+
+
+// 收集表单数据
+function collectFormData() {
+    const formData = {};
+
+    // 处理普通输入
+    const inputs = document.querySelectorAll('input[type="text"], input[type="number"], select');
+    inputs.forEach(input => {
+        if (!input.name.includes('[]')) {
+            if (input.type === 'number') {
+                formData[input.name] = parseFloat(input.value);
+            } else {
+                // 确保 select 元素的值也被正确收集
+                formData[input.name] = input.value;
+            }
+        }
+    });
+
+    // 处理复选框
+    const checkboxes = document.querySelectorAll('input[type="checkbox"]');
+    checkboxes.forEach(checkbox => {
+        formData[checkbox.name] = checkbox.checked;
+    });
+
+    // 处理数组
+    const arrayContainers = document.querySelectorAll('.array-container');
+    arrayContainers.forEach(container => {
+        const key = container.id.replace('_container', '');
+        const arrayInputs = container.querySelectorAll('.array-input');
+        formData[key] = Array.from(arrayInputs).map(input => input.value).filter(value => value.trim() !== '');
+    });
+
+    // --- 新增：处理 THINKING_BUDGET_MAP ---
+    const budgetMapContainer = document.getElementById('THINKING_BUDGET_MAP_container');
+    if (budgetMapContainer) {
+        formData['THINKING_BUDGET_MAP'] = {};
+        const mapItems = budgetMapContainer.querySelectorAll('.map-item');
+        mapItems.forEach(item => {
+            const keyInput = item.querySelector('.map-key-input');
+            const valueInput = item.querySelector('.map-value-input');
+            if (keyInput && valueInput && keyInput.value.trim() !== '') {
+                // 将预算值解析为整数
+                const budgetValue = parseInt(valueInput.value, 10); // 使用基数10
+                // 检查是否为有效数字，如果不是则默认为 0
+                formData['THINKING_BUDGET_MAP'][keyInput.value.trim()] = isNaN(budgetValue) ? 0 : budgetValue;
+            }
+        });
+    }
+    // --- 结束：处理 THINKING_BUDGET_MAP ---
+
+    return formData;
+}
+
+// 辅助函数：停止定时任务
+async function stopScheduler() {
+    try {
+        const response = await fetch('/api/scheduler/stop', { method: 'POST' });
+        if (!response.ok) {
+            console.warn(`停止定时任务失败: ${response.status}`);
+        } else {
+            console.log('定时任务已停止');
+        }
+    } catch (error) {
+        console.error('调用停止定时任务API时出错:', error);
+    }
+}
+
+// 辅助函数：启动定时任务
+async function startScheduler() {
+    try {
+        const response = await fetch('/api/scheduler/start', { method: 'POST' });
+        if (!response.ok) {
+            console.warn(`启动定时任务失败: ${response.status}`);
+        } else {
+            console.log('定时任务已启动');
+        }
+    } catch (error) {
+        console.error('调用启动定时任务API时出错:', error);
+    }
+}
+
+// 保存配置
+async function saveConfig() {
+    try {
+        const formData = collectFormData();
+
+        showNotification('正在保存配置...', 'info');
+
+        // 1. 停止定时任务
+        await stopScheduler();
+
+        const response = await fetch('/api/config', {
+            method: 'PUT',
+            headers: {
+                'Content-Type': 'application/json'
+            },
+            body: JSON.stringify(formData)
+        });
+
+        if (!response.ok) {
+            const errorData = await response.json();
+            throw new Error(errorData.detail || `HTTP error! status: ${response.status}`);
+        }
+
+        const result = await response.json();
+
+        // 移除居中的 saveStatus 提示
+
+        showNotification('配置保存成功', 'success');
+
+        // 3. 启动新的定时任务
+        await startScheduler();
+
+    } catch (error) {
+        console.error('保存配置失败:', error);
+        // 保存失败时，也尝试重启定时任务，以防万一
+        await startScheduler();
+        // 移除居中的 saveStatus 提示
+
+        showNotification('保存配置失败: ' + error.message, 'error');
+    }
+}
+
+// 重置配置 (现在只负责打开模态框)
+function resetConfig(event) {
+    // 阻止事件冒泡和默认行为
+    if (event) {
+        event.preventDefault();
+        event.stopPropagation();
+    }
+
+    console.log('resetConfig called. Event target:', event ? event.target.id : 'No event');
+
+    // 确保只有当事件来自重置按钮时才显示模态框
+    if (!event || event.target.id === 'resetBtn' || event.currentTarget.id === 'resetBtn') {
+        const resetConfirmModal = document.getElementById('resetConfirmModal');
+        if (resetConfirmModal) {
+            resetConfirmModal.classList.add('show');
+        } else {
+            // Fallback if modal doesn't exist for some reason
+            console.error("Reset confirmation modal not found! Falling back to default confirm.");
+            // Fallback to original confirm behavior
+            if (!confirm('确定要重置所有配置吗？这将恢复到默认值。')) {
+                return;
+            }
+            // If confirmed, proceed with the reset logic directly (less ideal)
+            executeReset();
+        }
+    }
+}
+
+// --- 新增：将实际重置逻辑提取到一个单独的函数 ---
+async function executeReset() {
+    try {
+        showNotification('正在重置配置...', 'info');
+
+        // 1. 停止定时任务
+        await stopScheduler();
+        const response = await fetch('/api/config/reset', { method: 'POST' });
+        if (!response.ok) {
+            throw new Error(`HTTP error! status: ${response.status}`);
+        }
+        const config = await response.json();
+        populateForm(config);
+        showNotification('配置已重置为默认值', 'success');
+
+        // 3. 启动新的定时任务
+        await startScheduler();
+
+    } catch (error) {
+        console.error('重置配置失败:', error);
+        showNotification('重置配置失败: ' + error.message, 'error');
+        // 重置失败时，也尝试重启定时任务
+        await startScheduler();
+    }
+}
+// 显示通知
+function showNotification(message, type = 'info') {
+    const notification = document.getElementById('notification');
+    notification.textContent = message;
+
+    // 统一样式为黑色半透明，与 keys_status.js 保持一致
+    notification.classList.remove('bg-danger-500');
+    notification.classList.add('bg-black');
+    notification.style.backgroundColor = 'rgba(0,0,0,0.8)';
+    notification.style.color = '#fff';
+
+    // 应用过渡效果
+    notification.style.opacity = "1";
+    notification.style.transform = "translate(-50%, 0)";
+
+    // 设置自动消失
+    setTimeout(() => {
+        notification.style.opacity = "0";
+        notification.style.transform = "translate(-50%, 10px)";
+    }, 3000);
+}
+
+// 刷新页面
+function refreshPage(button) {
+    button.classList.add('loading');
+    location.reload();
+}
+
+// 滚动到顶部
+function scrollToTop() {
+    window.scrollTo({
+        top: 0,
+        behavior: 'smooth'
+    });
+}
+
+// 滚动到底部
+function scrollToBottom() {
+    window.scrollTo({
+        top: document.body.scrollHeight,
+        behavior: 'smooth'
+    });
+}
+
+// 切换滚动按钮显示
+function toggleScrollButtons() {
+    const scrollButtons = document.querySelector('.scroll-buttons');
+
+    if (window.scrollY > 200) {
+        scrollButtons.style.display = 'flex';
+    } else {
+        scrollButtons.style.display = 'none';
+    }
+}
+
+// --- 新增：生成随机令牌函数 ---
+function generateRandomToken() {
+    const characters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789_';
+    const length = 48;
+    let result = 'sk-';
+    const charactersLength = characters.length;
+    for (let i = 0; i < length; i++) {
+        result += characters.charAt(Math.floor(Math.random() * charactersLength));
+    }
+    return result;
+}
+// --- 结束：生成随机令牌函数 ---
+
+// --- 修改：添加思考模型预算映射项 (现在由添加思考模型触发) ---
+// function addBudgetMapItem() {
+//    // 不再需要手动添加
+// }
+
+// Deprecated: This function is now effectively replaced by createAndAppendBudgetMapItem
+// for the initial population logic. It delegates to the new function if called.
+function addBudgetMapItemWithValue(mapKey, mapValue, modelId) {
+    // console.warn("Deprecated call to addBudgetMapItemWithValue, use createAndAppendBudgetMapItem instead for population.");
+    // Delegate to the new function which handles DOM creation
+    createAndAppendBudgetMapItem(mapKey, mapValue, modelId);
+}
+/* --- 结束：(addBudgetMapItemWithValue 已弃用) --- */

app/static/js/error_logs.js

@@ -0,0 +1,564 @@
+// 错误日志页面JavaScript (Updated for new structure, no Bootstrap)
+
+// 页面滚动功能
+function scrollToTop() {
+    window.scrollTo({ top: 0, behavior: 'smooth' });
+}
+
+function scrollToBottom() {
+    window.scrollTo({ top: document.body.scrollHeight, behavior: 'smooth' });
+}
+
+// Refresh function removed as the buttons are gone.
+// If refresh functionality is needed elsewhere, it can be triggered directly by calling loadErrorLogs().
+
+// 全局变量
+let currentPage = 1;
+let pageSize = 10;
+// let totalPages = 1; // totalPages will be calculated dynamically based on API response if available, or based on fetched data length
+let errorLogs = []; // Store fetched logs for details view
+let currentSearch = { // Store current search parameters
+    key: '',
+    error: '',
+    startDate: '',
+    endDate: ''
+};
+
+// DOM Elements Cache
+let pageSizeSelector;
+// let refreshBtn; // Removed, as the button is deleted
+let tableBody;
+let paginationElement;
+let loadingIndicator;
+let noDataMessage;
+let errorMessage;
+let logDetailModal;
+let modalCloseBtns; // Collection of close buttons for the modal
+let keySearchInput;
+let errorSearchInput;
+let startDateInput;
+let endDateInput;
+let searchBtn;
+let pageInput; // 新增：页码输入框
+let goToPageBtn; // 新增：跳转按钮
+
+// 页面加载完成后执行
+document.addEventListener('DOMContentLoaded', function() {
+    // Cache DOM elements
+    pageSizeSelector = document.getElementById('pageSize');
+    // refreshBtn = document.getElementById('refreshBtn'); // Removed
+    tableBody = document.getElementById('errorLogsTable');
+    paginationElement = document.getElementById('pagination');
+    loadingIndicator = document.getElementById('loadingIndicator');
+    noDataMessage = document.getElementById('noDataMessage');
+    errorMessage = document.getElementById('errorMessage');
+    logDetailModal = document.getElementById('logDetailModal');
+    // Get all elements that should close the modal
+    modalCloseBtns = document.querySelectorAll('#closeLogDetailModalBtn, #closeModalFooterBtn');
+    keySearchInput = document.getElementById('keySearch');
+    errorSearchInput = document.getElementById('errorSearch');
+    startDateInput = document.getElementById('startDate');
+    endDateInput = document.getElementById('endDate');
+    searchBtn = document.getElementById('searchBtn');
+    pageInput = document.getElementById('pageInput'); // 新增
+    goToPageBtn = document.getElementById('goToPageBtn'); // 新增
+
+    // Initialize page size selector
+    if (pageSizeSelector) {
+        pageSizeSelector.value = pageSize;
+        pageSizeSelector.addEventListener('change', function() {
+            pageSize = parseInt(this.value);
+            currentPage = 1; // Reset to first page
+            loadErrorLogs();
+        });
+    }
+
+    // Refresh button event listener removed
+
+    // Initialize search button
+    if (searchBtn) {
+        searchBtn.addEventListener('click', function() {
+            // Update search parameters from input fields
+            currentSearch.key = keySearchInput ? keySearchInput.value.trim() : '';
+            currentSearch.error = errorSearchInput ? errorSearchInput.value.trim() : '';
+            currentSearch.startDate = startDateInput ? startDateInput.value : '';
+            currentSearch.endDate = endDateInput ? endDateInput.value : '';
+            currentPage = 1; // Reset to first page on new search
+            loadErrorLogs();
+        });
+    }
+
+    // Initialize modal close buttons
+    if (logDetailModal && modalCloseBtns) {
+        modalCloseBtns.forEach(btn => {
+            btn.addEventListener('click', closeLogDetailModal);
+        });
+        // Optional: Close modal if clicking outside the content
+        logDetailModal.addEventListener('click', function(event) {
+            if (event.target === logDetailModal) {
+                closeLogDetailModal();
+            }
+        });
+    }
+
+    // Initial load of error logs
+    loadErrorLogs();
+
+    // Add event listeners for copy buttons inside the modal
+    setupCopyButtons();
+
+    // 新增：为页码跳转按钮添加事件监听器
+    if (goToPageBtn && pageInput) {
+        goToPageBtn.addEventListener('click', function() {
+            const targetPage = parseInt(pageInput.value);
+            // 需要获取总页数来验证输入
+            // 暂时无法直接获取 totalPages，需要在 updatePagination 中存储或重新计算
+            // 简单的验证：必须是正整数
+            if (!isNaN(targetPage) && targetPage >= 1) {
+                // 理想情况下，应检查 targetPage <= totalPages
+                // 但 totalPages 可能未知，所以暂时只跳转
+                currentPage = targetPage;
+                loadErrorLogs();
+                pageInput.value = ''; // 清空输入框
+            } else {
+                showNotification('请输入有效的页码', 'error', 2000);
+                pageInput.value = ''; // 清空无效输入
+            }
+        });
+        // 允许按 Enter 键跳转
+        pageInput.addEventListener('keypress', function(event) {
+            if (event.key === 'Enter') {
+                goToPageBtn.click(); // 触发按钮点击
+            }
+        });
+    }
+});
+
+// Fallback copy function using document.execCommand
+function fallbackCopyTextToClipboard(text) {
+    const textArea = document.createElement("textarea");
+    textArea.value = text;
+
+    // Avoid scrolling to bottom
+    textArea.style.top = "0";
+    textArea.style.left = "0";
+    textArea.style.position = "fixed";
+
+    document.body.appendChild(textArea);
+    textArea.focus();
+    textArea.select();
+
+    let successful = false;
+    try {
+        successful = document.execCommand('copy');
+    } catch (err) {
+        console.error('Fallback copy failed:', err);
+        successful = false;
+    }
+
+    document.body.removeChild(textArea);
+    return successful;
+}
+
+// Helper function to handle feedback after copy attempt (both modern and fallback)
+function handleCopyResult(buttonElement, success) {
+     const originalIcon = buttonElement.querySelector('i').className; // Store original icon class
+     const iconElement = buttonElement.querySelector('i');
+     if (success) {
+        iconElement.className = 'fas fa-check text-success-500'; // Use checkmark icon class
+        showNotification('已复制到剪贴板', 'success', 2000);
+     } else {
+        iconElement.className = 'fas fa-times text-danger-500'; // Use error icon class
+        showNotification('复制失败', 'error', 3000);
+     }
+     setTimeout(() => { iconElement.className = originalIcon; }, success ? 2000 : 3000); // Restore original icon class
+}
+
+// Function to set up copy button listeners (using modern API with fallback)
+function setupCopyButtons() {
+    const copyButtons = document.querySelectorAll('.copy-btn');
+    copyButtons.forEach(button => {
+        button.addEventListener('click', function() {
+            const targetId = this.getAttribute('data-target');
+            const targetElement = document.getElementById(targetId);
+
+            if (targetElement) {
+                const textToCopy = targetElement.textContent;
+                let copySuccess = false;
+
+                // Try modern clipboard API first (requires HTTPS or localhost)
+                if (navigator.clipboard && window.isSecureContext) {
+                    navigator.clipboard.writeText(textToCopy).then(() => {
+                        handleCopyResult(this, true); // Use helper for feedback
+                    }).catch(err => {
+                        console.error('Clipboard API failed, attempting fallback:', err);
+                        // Attempt fallback if modern API fails
+                        copySuccess = fallbackCopyTextToClipboard(textToCopy);
+                        handleCopyResult(this, copySuccess); // Use helper for feedback
+                    });
+                } else {
+                    // Use fallback if modern API is not available or context is insecure
+                    console.warn("Clipboard API not available or context insecure. Using fallback copy method.");
+                    copySuccess = fallbackCopyTextToClipboard(textToCopy);
+                    handleCopyResult(this, copySuccess); // Use helper for feedback
+                }
+            } else {
+                console.error('Target element not found:', targetId);
+                showNotification('复制出错：找不到目标元素', 'error');
+            }
+        });
+    });
+}
+
+// 加载错误日志数据
+async function loadErrorLogs() {
+    showLoading(true);
+    showError(false);
+    showNoData(false);
+
+    const offset = (currentPage - 1) * pageSize;
+
+    try {
+        // Construct the API URL with search parameters
+        let apiUrl = `/api/logs/errors?limit=${pageSize}&offset=${offset}`;
+        if (currentSearch.key) {
+            apiUrl += `&key_search=${encodeURIComponent(currentSearch.key)}`;
+        }
+        if (currentSearch.error) {
+            apiUrl += `&error_search=${encodeURIComponent(currentSearch.error)}`;
+        }
+        if (currentSearch.startDate) {
+            apiUrl += `&start_date=${encodeURIComponent(currentSearch.startDate)}`;
+        }
+        if (currentSearch.endDate) {
+            apiUrl += `&end_date=${encodeURIComponent(currentSearch.endDate)}`;
+        }
+
+        const response = await fetch(apiUrl);
+        if (!response.ok) {
+            // Try to get error message from response body
+            let errorData;
+            try {
+                errorData = await response.json();
+            } catch (e) {
+                // Ignore if response is not JSON
+            }
+            throw new Error(errorData?.detail || `网络响应异常: ${response.statusText}`);
+        }
+        const data = await response.json();
+        // API 现在返回 { logs: [], total: count }
+        if (data && Array.isArray(data.logs)) {
+            errorLogs = data.logs; // Store the list data (contains error_code)
+            renderErrorLogs(errorLogs);
+            updatePagination(errorLogs.length, data.total || -1);
+        } else {
+            throw new Error('无法识别的API响应格式');
+        }
+
+
+        showLoading(false);
+
+        if (errorLogs.length === 0) {
+            showNoData(true);
+        }
+    } catch (error) {
+        console.error('获取错误日志失败:', error);
+        showLoading(false);
+        showError(true, error.message); // Show specific error message
+    }
+}
+
+
+// 渲染错误日志表格
+function renderErrorLogs(logs) {
+    if (!tableBody) return;
+    tableBody.innerHTML = ''; // Clear previous entries
+
+    if (!logs || logs.length === 0) {
+        // Handled by showNoData
+        return;
+    }
+
+    const startIndex = (currentPage - 1) * pageSize; // Calculate starting index for the current page
+
+    logs.forEach((log, index) => { // Add index parameter to forEach
+        const row = document.createElement('tr');
+        const sequentialId = startIndex + index + 1; // Calculate sequential ID for the current page
+        // Format date
+        let formattedTime = 'N/A';
+        try {
+            const requestTime = new Date(log.request_time);
+            if (!isNaN(requestTime)) {
+                 formattedTime = requestTime.toLocaleString('zh-CN', {
+                    year: 'numeric', month: '2-digit', day: '2-digit',
+                    hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false
+                });
+            }
+        } catch (e) { console.error("Error formatting date:", e); }
+
+
+        // Display error code instead of truncated log
+        const errorCodeContent = log.error_code || '无';
+
+        // Mask the Gemini key for display in the table
+        const maskKey = (key) => {
+            if (!key || key.length < 8) return key || '无'; // Don't mask short keys or null
+            return `${key.substring(0, 4)}...${key.substring(key.length - 4)}`;
+        };
+        const maskedKey = maskKey(log.gemini_key);
+
+        row.innerHTML = `
+            <td>${sequentialId}</td> <!-- Use sequential ID -->
+            <td title="${log.gemini_key || ''}">${maskedKey}</td>
+            <td>${log.error_type || '未知'}</td>
+            <td class="error-code-content" title="${log.error_code || ''}">${errorCodeContent}</td>
+            <td>${log.model_name || '未知'}</td>
+            <td>${formattedTime}</td>
+            <td>
+                <button class="btn-view-details" data-log-id="${log.id}">
+                    查看详情
+                </button>
+            </td>
+        `;
+
+        tableBody.appendChild(row);
+    });
+
+    // Add event listeners to new 'View Details' buttons
+    document.querySelectorAll('.btn-view-details').forEach(button => {
+        button.addEventListener('click', function() {
+            const logId = parseInt(this.getAttribute('data-log-id'));
+            showLogDetails(logId);
+        });
+    });
+}
+
+// 显示错误日志详情 (从 API 获取)
+async function showLogDetails(logId) {
+    if (!logDetailModal) return;
+
+    // Show loading state in modal (optional)
+    // Clear previous content and show a spinner or message
+    document.getElementById('modalGeminiKey').textContent = '加载中...';
+    document.getElementById('modalErrorType').textContent = '加载中...';
+    document.getElementById('modalErrorLog').textContent = '加载中...';
+    document.getElementById('modalRequestMsg').textContent = '加载中...';
+    document.getElementById('modalModelName').textContent = '加载中...';
+    document.getElementById('modalRequestTime').textContent = '加载中...';
+
+    logDetailModal.classList.add('show');
+    document.body.style.overflow = 'hidden'; // Prevent body scrolling
+
+    try {
+        const response = await fetch(`/api/logs/errors/${logId}/details`);
+        if (!response.ok) {
+            let errorData;
+            try {
+                errorData = await response.json();
+            } catch (e) { /* ignore */ }
+            throw new Error(errorData?.detail || `获取日志详情失败: ${response.statusText}`);
+        }
+        const logDetails = await response.json();
+
+        // Format date
+        let formattedTime = 'N/A';
+        try {
+            const requestTime = new Date(logDetails.request_time);
+            if (!isNaN(requestTime)) {
+                formattedTime = requestTime.toLocaleString('zh-CN', {
+                    year: 'numeric', month: '2-digit', day: '2-digit',
+                    hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false
+                });
+            }
+        } catch (e) { console.error("Error formatting date:", e); }
+
+        // Format request message (handle potential JSON)
+        let formattedRequestMsg = '无';
+        if (logDetails.request_msg) {
+            try {
+                if (typeof logDetails.request_msg === 'object' && logDetails.request_msg !== null) {
+                    formattedRequestMsg = JSON.stringify(logDetails.request_msg, null, 2);
+                } else if (typeof logDetails.request_msg === 'string') {
+                    // Try parsing if it looks like JSON, otherwise display as string
+                    const trimmedMsg = logDetails.request_msg.trim();
+                    if (trimmedMsg.startsWith('{') || trimmedMsg.startsWith('[')) {
+                        formattedRequestMsg = JSON.stringify(JSON.parse(logDetails.request_msg), null, 2);
+                    } else {
+                        formattedRequestMsg = logDetails.request_msg;
+                    }
+                } else {
+                     formattedRequestMsg = String(logDetails.request_msg);
+                }
+            } catch (e) {
+                formattedRequestMsg = String(logDetails.request_msg); // Fallback
+                console.warn("Could not parse request_msg as JSON:", e);
+            }
+        }
+
+        // Populate modal content with fetched details
+        document.getElementById('modalGeminiKey').textContent = logDetails.gemini_key || '无';
+        document.getElementById('modalErrorType').textContent = logDetails.error_type || '未知';
+        document.getElementById('modalErrorLog').textContent = logDetails.error_log || '无'; // Full error log
+        document.getElementById('modalRequestMsg').textContent = formattedRequestMsg; // Full request message
+        document.getElementById('modalModelName').textContent = logDetails.model_name || '未知';
+        document.getElementById('modalRequestTime').textContent = formattedTime;
+
+    } catch (error) {
+        console.error('获取日志详情失败:', error);
+        // Show error in modal
+        document.getElementById('modalGeminiKey').textContent = '错误';
+        document.getElementById('modalErrorType').textContent = '错误';
+        document.getElementById('modalErrorLog').textContent = `加载失败: ${error.message}`;
+        document.getElementById('modalRequestMsg').textContent = '错误';
+        document.getElementById('modalModelName').textContent = '错误';
+        document.getElementById('modalRequestTime').textContent = '错误';
+        // Optionally show a notification
+        showNotification(`加载日志详情失败: ${error.message}`, 'error', 5000);
+    }
+}
+
+// Close Log Detail Modal
+function closeLogDetailModal() {
+     if (logDetailModal) {
+        logDetailModal.classList.remove('show');
+        // Optional: Restore body scrolling
+        document.body.style.overflow = '';
+     }
+}
+
+
+// 更新分页控件
+function updatePagination(currentItemCount, totalItems) {
+    if (!paginationElement) return;
+    paginationElement.innerHTML = ''; // Clear existing pagination
+
+    // Calculate total pages only if totalItems is known and valid
+    let totalPages = 1;
+    if (totalItems >= 0) {
+        totalPages = Math.max(1, Math.ceil(totalItems / pageSize));
+    } else if (currentItemCount < pageSize && currentPage === 1) {
+        // If less items than page size fetched on page 1, assume it's the only page
+        totalPages = 1;
+    } else {
+        // If total is unknown and more items might exist, we can't build full pagination
+        // We can show Prev/Next based on current page and if items were returned
+        console.warn("Total item count unknown, pagination will be limited.");
+        // Basic Prev/Next for unknown total
+        addPaginationLink(paginationElement, '&laquo;', currentPage > 1, () => { currentPage--; loadErrorLogs(); });
+        addPaginationLink(paginationElement, currentPage.toString(), true, null, true); // Current page number (non-clickable)
+        addPaginationLink(paginationElement, '&raquo;', currentItemCount === pageSize, () => { currentPage++; loadErrorLogs(); }); // Next enabled if full page was returned
+        return; // Exit here for limited pagination
+    }
+
+
+    const maxPagesToShow = 5; // Max number of page links to show
+    let startPage = Math.max(1, currentPage - Math.floor(maxPagesToShow / 2));
+    let endPage = Math.min(totalPages, startPage + maxPagesToShow - 1);
+
+    // Adjust startPage if endPage reaches the limit first
+     if (endPage === totalPages) {
+        startPage = Math.max(1, endPage - maxPagesToShow + 1);
+    }
+
+
+    // Previous Button
+    addPaginationLink(paginationElement, '&laquo;', currentPage > 1, () => { currentPage--; loadErrorLogs(); });
+
+    // First Page Button
+    if (startPage > 1) {
+        addPaginationLink(paginationElement, '1', true, () => { currentPage = 1; loadErrorLogs(); });
+        if (startPage > 2) {
+            addPaginationLink(paginationElement, '...', false); // Ellipsis
+        }
+    }
+
+    // Page Number Buttons
+    for (let i = startPage; i <= endPage; i++) {
+        addPaginationLink(paginationElement, i.toString(), true, () => { currentPage = i; loadErrorLogs(); }, i === currentPage);
+    }
+
+     // Last Page Button
+    if (endPage < totalPages) {
+        if (endPage < totalPages - 1) {
+             addPaginationLink(paginationElement, '...', false); // Ellipsis
+        }
+        addPaginationLink(paginationElement, totalPages.toString(), true, () => { currentPage = totalPages; loadErrorLogs(); });
+    }
+
+
+    // Next Button
+    addPaginationLink(paginationElement, '&raquo;', currentPage < totalPages, () => { currentPage++; loadErrorLogs(); });
+}
+
+// Helper function to add pagination links
+function addPaginationLink(parentElement, text, enabled, clickHandler, isActive = false) {
+    const pageItem = document.createElement('li');
+    // 移除 'page-item' 和 'active' 类，使用 Tailwind 类进行样式化
+    // pageItem.className = `page-item ${!enabled ? 'disabled' : ''} ${isActive ? 'active' : ''}`;
+
+    const pageLink = document.createElement('a');
+    // 使用 Tailwind 类进行样式化
+    pageLink.className = `px-3 py-1 rounded-md text-sm transition duration-150 ease-in-out ${
+        isActive
+            ? 'bg-primary-600 text-white font-semibold shadow-md cursor-default' // 突出当前页样式
+            : enabled
+                ? 'bg-white text-gray-700 hover:bg-primary-50 hover:text-primary-600 border border-gray-300' // 可点击页码样式
+                : 'bg-gray-100 text-gray-400 cursor-not-allowed border border-gray-200' // 禁用状态样式 (如 '...')
+    }`;
+    pageLink.href = '#'; // Prevent page jump
+    pageLink.innerHTML = text;
+
+    if (enabled && clickHandler) {
+        pageLink.addEventListener('click', function(e) {
+            e.preventDefault();
+            clickHandler();
+        });
+    } else if (!enabled) {
+         pageLink.addEventListener('click', e => e.preventDefault()); // Prevent click on disabled or active
+    } else if (isActive) {
+        pageLink.addEventListener('click', e => e.preventDefault()); // Prevent click on active page
+    }
+
+    // 不再需要 li 元素，直接将 a 元素添加到父元素
+    // pageItem.appendChild(pageLink);
+    parentElement.appendChild(pageLink);
+}
+
+
+// 显示/隐藏状态指示器 (using 'active' class)
+function showLoading(show) {
+    if (loadingIndicator) loadingIndicator.style.display = show ? 'block' : 'none';
+}
+
+function showNoData(show) {
+     if (noDataMessage) noDataMessage.style.display = show ? 'block' : 'none';
+}
+
+function showError(show, message = '加载错误日志失败，请稍后重试。') {
+    if (errorMessage) {
+        errorMessage.style.display = show ? 'block' : 'none';
+        if (show) {
+            // Update the error message content
+            const p = errorMessage.querySelector('p');
+            if (p) p.textContent = message;
+        }
+    }
+}
+
+// Function to show temporary status notifications (like copy success)
+function showNotification(message, type = 'success', duration = 3000) {
+    const notificationElement = document.getElementById('copyStatus'); // Or a more generic ID if needed
+    if (!notificationElement) return;
+
+    notificationElement.textContent = message;
+    notificationElement.className = `notification ${type} show`; // Add 'show' class
+
+    // Hide after duration
+    setTimeout(() => {
+        notificationElement.classList.remove('show');
+    }, duration);
+}
+
+// Example Usage (if copy functionality is added later):
+// showNotification('密钥已复制!', 'success');
+// showNotification('复制失败!', 'error');

app/templates/auth.html

@@ -1,248 +1,124 @@
-<!DOCTYPE html>
-<html lang="zh-CN">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>验证页面</title>
-    <link rel="manifest" href="/static/manifest.json">
-    <meta name="theme-color" content="#764ba2">
-    <meta name="apple-mobile-web-app-capable" content="yes">
-    <meta name="apple-mobile-web-app-status-bar-style" content="black">
-    <meta name="apple-mobile-web-app-title" content="GBalance">
-    <link rel="icon" href="/static/icons/icon-192x192.png">
-    <link href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;700&display=swap" rel="stylesheet">
-    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css">
-    <style>
-        body {
-            font-family: 'Roboto', sans-serif;
-            line-height: 1.6;
-            margin: 0;
-            padding: 0;
-            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-            min-height: 100vh;
-            display: flex;
-            justify-content: center;
-            align-items: center;
-        }
-        .container {
-            max-width: 400px;
-            width: 90%;
-            background: rgba(255, 255, 255, 0.95);
-            padding: 40px;
-            border-radius: 20px;
-            box-shadow: 0 15px 35px rgba(0,0,0,0.2);
-            backdrop-filter: blur(10px);
-            transition: all 0.4s cubic-bezier(0.4, 0, 0.2, 1);
-        }
+{% extends "base.html" %}
 
-        @media (max-width: 768px) {
-            .container {
-                width: 85%;
-                padding: 30px;
-            }
-            .logo i {
-                font-size: 40px;
-            }
-            h2 {
-                font-size: 22px;
-            }
-            input {
-                padding: 10px 10px 10px 35px;
-                font-size: 15px;
-            }
-            .input-group i {
-                font-size: 16px;
-            }
-            button {
-                padding: 12px;
-                font-size: 15px;
-            }
-        }
+{% block title %}验证页面 - Gemini Balance{% endblock %}
 
-        @media (max-width: 480px) {
-            .container {
-                width: 90%;
-                padding: 25px;
-            }
-            .logo i {
-                font-size: 36px;
-            }
-            h2 {
-                font-size: 20px;
-                margin-bottom: 25px;
-            }
-            form {
-                gap: 15px;
-            }
-            input {
-                padding: 10px 10px 10px 32px;
-                font-size: 14px;
-            }
-            .input-group i {
-                font-size: 15px;
-                left: 10px;
-            }
-            button {
-                padding: 10px;
-                font-size: 14px;
-            }
-            .error-message {
-                font-size: 14px;
-                padding: 8px;
-                margin-top: 12px;
-            }
-        }
-        .container:hover {
-            transform: translateY(-5px);
-            box-shadow: 0 20px 40px rgba(0,0,0,0.25);
-        }
-        .logo {
-            text-align: center;
-            margin-bottom: 30px;
-            animation: fadeIn 1s ease;
-        }
-        .logo i {
-            font-size: 48px;
-            color: #764ba2;
-            margin-bottom: 15px;
-        }
-        h2 {
-            color: #2c3e50;
-            text-align: center;
-            margin-bottom: 30px;
-            font-weight: 700;
-            font-size: 24px;
-            animation: slideDown 0.5s ease;
-        }
-        form {
-            display: flex;
-            flex-direction: column;
-            gap: 20px;
-        }
-        .input-group {
-            position: relative;
-            animation: slideUp 0.5s ease;
-        }
-        .input-group i {
-            position: absolute;
-            left: 12px;
-            top: 50%;
-            transform: translateY(-50%);
-            color: #764ba2;
-            font-size: 18px;
-        }
-        input {
-            width: 100%;
-            padding: 12px 12px 12px 40px;
-            border: 2px solid #e0e0e0;
-            border-radius: 10px;
-            font-size: 16px;
-            box-sizing: border-box;
-            transition: all 0.3s ease;
-            background: rgba(255, 255, 255, 0.9);
-        }
-        input:focus {
-            border-color: #764ba2;
-            box-shadow: 0 0 10px rgba(118, 75, 162, 0.2);
-            outline: none;
-        }
-        button {
-            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-            color: white;
-            border: none;
-            padding: 14px;
-            border-radius: 10px;
-            cursor: pointer;
-            font-size: 16px;
-            font-weight: bold;
-            transition: all 0.3s ease;
-            position: relative;
-            overflow: hidden;
-        }
-        button:hover {
-            transform: translateY(-2px);
-            box-shadow: 0 5px 15px rgba(118, 75, 162, 0.3);
-        }
-        button:active {
-            transform: translateY(0);
-        }
-        button::after {
-            content: '';
-            position: absolute;
-            top: 50%;
-            left: 50%;
-            width: 0;
-            height: 0;
-            background: rgba(255, 255, 255, 0.2);
-            border-radius: 50%;
-            transform: translate(-50%, -50%);
-            transition: width 0.6s, height 0.6s;
-        }
-        button:active::after {
-            width: 200px;
-            height: 200px;
-            opacity: 0;
-        }
-        .error-message {
-            color: #e74c3c;
-            margin-top: 15px;
-            text-align: center;
-            font-weight: bold;
-            padding: 10px;
-            border-radius: 5px;
-            background: rgba(231, 76, 60, 0.1);
-            animation: shake 0.5s ease;
-        }
-        @keyframes fadeIn {
-            from { opacity: 0; }
-            to { opacity: 1; }
-        }
-        @keyframes slideDown {
-            from { transform: translateY(-20px); opacity: 0; }
-            to { transform: translateY(0); opacity: 1; }
-        }
-        @keyframes slideUp {
-            from { transform: translateY(20px); opacity: 0; }
-            to { transform: translateY(0); opacity: 1; }
-        }
-        @keyframes shake {
-            0%, 100% { transform: translateX(0); }
-            25% { transform: translateX(-5px); }
-            75% { transform: translateX(5px); }
-        }
-    </style>
-</head>
-<body>
-    <div class="container">
-        <div class="logo">
-            <i class="fas fa-shield-alt"></i>
-        </div>
-        <h2>安全验证</h2>
-        <form id="auth-form" action="/auth" method="post">
-            <div class="input-group">
-                <i class="fas fa-key"></i>
-                <input type="password" id="auth-token" name="auth_token" required placeholder="请输入验证令牌">
+{% block head_extra_styles %}
+<style>
+    /* auth.html specific styles */
+    .auth-glass-card { /* Renamed to avoid conflict if base.html has .glass-card */
+        background: rgba(255, 255, 255, 0.85); /* Increased opacity */
+        backdrop-filter: blur(20px);
+        -webkit-backdrop-filter: blur(20px);
+        border: 1px solid rgba(255, 255, 255, 0.2);
+    }
+    .auth-bg-gradient { /* Renamed to avoid conflict if base.html has .bg-gradient */
+         background: linear-gradient(135deg, #4F46E5 0%, #7C3AED 50%, #EC4899 100%);
+    }
+    /* .input-icon class removed, using direct Tailwind classes now */
+    /* Keep button ripple effect if needed, or remove if base provides similar */
+    .auth-button { /* Renamed to avoid conflict */
+        position: relative;
+        overflow: hidden;
+    }
+    .auth-button:after {
+        content: '';
+        position: absolute;
+        top: 50%;
+        left: 50%;
+        width: 0;
+        height: 0;
+        background: rgba(255, 255, 255, 0.2);
+        border-radius: 50%;
+        transform: translate(-50%, -50%);
+        transition: width 0.6s, height 0.6s;
+    }
+    .auth-button:active:after {
+        width: 300px;
+        height: 300px;
+        opacity: 0;
+    }
+</style>
+{% endblock %}
+
+{% block content %}
+<div class="auth-bg-gradient min-h-screen flex flex-col justify-center items-center p-4">
+    <div class="glass-card rounded-2xl shadow-2xl p-10 max-w-md w-full mx-auto transform transition duration-500 hover:-translate-y-1 hover:shadow-3xl animate-fade-in">
+        <div class="flex justify-center mb-8 animate-slide-down">
+            <div class="rounded-full bg-primary-100 p-4 text-primary-600">
+                <i class="fas fa-shield-alt text-4xl"></i>
             </div>
-            <button type="submit">
-                验证访问
+        </div>
+        
+        <h2 class="text-3xl font-extrabold text-center text-transparent bg-clip-text bg-gradient-to-r from-primary-600 to-primary-700 mb-8 animate-slide-down">
+             <img src="/static/icons/logo.png" alt="Gemini Balance Logo" class="h-9 inline-block align-middle mr-2">
+             Gemini Balance
+        </h2>
+        
+        <form id="auth-form" action="/auth" method="post" class="space-y-6 animate-slide-up">
+            <div class="relative">
+                <i class="fas fa-key absolute left-3 top-1/2 transform -translate-y-1/2 text-gray-500"></i>
+                <input
+                    type="password"
+                    id="auth-token"
+                    name="auth_token"
+                    required
+                    placeholder="请输入验证令牌"
+                    class="w-full pl-10 pr-4 py-4 rounded-xl border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50 transition duration-300 bg-white bg-opacity-90 text-gray-700"
+                >
+            </div>
+            
+            <button 
+                type="submit" 
+                class="w-full py-4 rounded-xl bg-gradient-to-r from-primary-600 to-primary-700 text-white font-semibold transition duration-300 transform hover:-translate-y-1 hover:shadow-lg"
+            >
+                登录
             </button>
         </form>
+        
         {% if error %}
-        <p class="error-message">{{ error }}</p>
+        <p class="mt-4 text-red-500 text-center font-medium p-3 bg-red-50 rounded-lg border border-red-200 animate-shake">
+            {{ error }}
+        </p>
         {% endif %}
     </div>
-    <script>
-        if ('serviceWorker' in navigator) {
-            window.addEventListener('load', () => {
-                navigator.serviceWorker.register('/static/service-worker.js')
-                    .then(registration => {
-                        console.log('ServiceWorker注册成功:', registration.scope);
-                    })
-                    .catch(error => {
-                        console.log('ServiceWorker注册失败:', error);
-                    });
+    
+</div> <!-- Close auth-bg-gradient div -->
+<!-- Notification placeholder for base.html's showNotification -->
+<div id="notification" class="notification"></div>
+    
+{% endblock %}
+
+{% block body_scripts %}
+<script>
+    // auth.html specific JavaScript
+    document.addEventListener('DOMContentLoaded', function() {
+        const form = document.getElementById('auth-form');
+        if (form) {
+            form.addEventListener('submit', function(e) {
+                const token = document.getElementById('auth-token').value.trim();
+                if (!token) {
+                    e.preventDefault();
+                    // Use the base notification system
+                    showNotification('请输入验证令牌', 'error');
+                }
             });
         }
-    </script>
-</body>
-</html>
+        // Apply renamed classes
+        document.querySelectorAll('button[type="submit"]').forEach(button => {
+             button.classList.add('auth-button');
+        });
+        const card = document.querySelector('.auth-glass-card'); // Find the renamed card
+        if (card) {
+            // If the base template also defines .glass-card, remove it first
+            // card.classList.remove('glass-card');
+        } else {
+             // If the card wasn't found by the new name, try the old name and rename
+             const oldCard = document.querySelector('.glass-card');
+             if (oldCard) {
+                 oldCard.classList.remove('glass-card');
+                 oldCard.classList.add('auth-glass-card');
+             }
+        }
+    });
+</script>
+{% endblock %}

app/templates/base.html

@@ -0,0 +1,285 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>{% block title %}Gemini Balance{% endblock %}</title>
+    <link rel="manifest" href="/static/manifest.json">
+    <meta name="theme-color" content="#4F46E5">
+    <meta name="apple-mobile-web-app-capable" content="yes">
+    <meta name="apple-mobile-web-app-status-bar-style" content="black">
+    <meta name="apple-mobile-web-app-title" content="GBalance">
+    <link rel="icon" href="/static/icons/icon-192x192.png">
+    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
+    <script src="https://cdn.tailwindcss.com"></script>
+    <script>
+        tailwind.config = {
+            theme: {
+                extend: {
+                    colors: {
+                        primary: {
+                            50: '#eef2ff',
+                            100: '#e0e7ff',
+                            200: '#c7d2fe',
+                            300: '#a5b4fc',
+                            400: '#818cf8',
+                            500: '#6366f1',
+                            600: '#4f46e5',
+                            700: '#4338ca',
+                            800: '#3730a3',
+                            900: '#312e81',
+                        },
+                        success: {
+                            50: '#ecfdf5',
+                            500: '#10b981',
+                            600: '#059669'
+                        },
+                        danger: {
+                            50: '#fef2f2',
+                            500: '#ef4444',
+                            600: '#dc2626'
+                        }
+                    },
+                    fontFamily: {
+                        sans: ['Inter', 'sans-serif'],
+                        mono: ['JetBrains Mono', 'SFMono-Regular', 'Menlo', 'Monaco', 'Consolas', 'monospace'],
+                    },
+                    animation: {
+                        'fade-in': 'fadeIn 0.5s ease-out',
+                        'slide-up': 'slideUp 0.5s ease-out',
+                        'slide-down': 'slideDown 0.5s ease-out',
+                        'shake': 'shake 0.5s ease-in-out',
+                        'spin': 'spin 1s linear infinite',
+                    },
+                    keyframes: {
+                        fadeIn: {
+                            '0%': { opacity: '0' },
+                            '100%': { opacity: '1' },
+                        },
+                        slideUp: {
+                            '0%': { transform: 'translateY(20px)', opacity: '0' },
+                            '100%': { transform: 'translateY(0)', opacity: '1' },
+                        },
+                        slideDown: {
+                            '0%': { transform: 'translateY(-20px)', opacity: '0' },
+                            '100%': { transform: 'translateY(0)', opacity: '1' },
+                        },
+                        shake: {
+                            '0%, 100%': { transform: 'translateX(0)' },
+                            '25%': { transform: 'translateX(-5px)' },
+                            '75%': { transform: 'translateX(5px)' },
+                        },
+                         spin: {
+                            '0%': { transform: 'rotate(0deg)' },
+                            '100%': { transform: 'rotate(360deg)' },
+                        },
+                    },
+                }
+            }
+        }
+    </script>
+    <style>
+        .glass-card {
+            background: rgba(255, 255, 255, 0.85); /* Slightly increased opacity for better readability */
+            backdrop-filter: blur(16px);
+            -webkit-backdrop-filter: blur(16px);
+            border: 1px solid rgba(255, 255, 255, 0.18); /* Subtle border */
+        }
+        .bg-gradient {
+            background: linear-gradient(135deg, #4F46E5 0%, #7C3AED 50%, #EC4899 100%);
+        }
+        /* Scrollbar styling */
+        ::-webkit-scrollbar {
+            width: 8px;
+            height: 8px;
+        }
+        ::-webkit-scrollbar-track {
+            background: rgba(243, 244, 246, 0.8); /* bg-gray-100 with opacity */
+            border-radius: 10px;
+        }
+        ::-webkit-scrollbar-thumb {
+            background: rgba(79, 70, 229, 0.4); /* primary-600 with opacity */
+            border-radius: 10px;
+        }
+        ::-webkit-scrollbar-thumb:hover {
+            background: rgba(79, 70, 229, 0.6); /* primary-600 with more opacity */
+        }
+        /* Basic modal styles */
+        .modal {
+            display: none;
+            position: fixed;
+            z-index: 50;
+            left: 0;
+            top: 0;
+            width: 100%;
+            height: 100%;
+            background-color: rgba(0,0,0,0.5);
+            backdrop-filter: blur(4px);
+        }
+        .modal.show {
+            display: flex;
+            align-items: center;
+            justify-content: center;
+        }
+        /* Loading spinner */
+        .loading-spin {
+            animation: spin 1s linear infinite;
+        }
+        @keyframes spin {
+            from { transform: rotate(0deg); }
+            to { transform: rotate(360deg); }
+        }
+        /* Notification */
+        .notification {
+            position: fixed;
+            bottom: 5rem; /* Adjusted from bottom-20 */
+            left: 50%;
+            transform: translateX(-50%);
+            padding: 0.75rem 1.25rem; /* px-5 py-3 */
+            border-radius: 0.5rem; /* rounded-lg */
+            background-color: rgba(0, 0, 0, 0.8);
+            color: white;
+            font-weight: 500; /* font-medium */
+            z-index: 50;
+            opacity: 0;
+            transition: opacity 0.3s ease-in-out, transform 0.3s ease-in-out;
+        }
+        .notification.show {
+            opacity: 1;
+            transform: translate(-50%, 0);
+        }
+        .notification.error {
+             background-color: rgba(220, 38, 38, 0.8); /* danger-600 with opacity */
+        }
+        /* Scroll buttons */
+        .scroll-buttons {
+            position: fixed;
+            right: 1.25rem; /* right-5 */
+            bottom: 5rem; /* bottom-20 */
+            display: flex;
+            flex-direction: column;
+            gap: 0.5rem; /* gap-2 */
+            z-index: 10;
+        }
+        .scroll-button {
+            width: 2.5rem; /* w-10 */
+            height: 2.5rem; /* h-10 */
+            background-color: #4f46e5; /* bg-primary-600 */
+            color: white;
+            border-radius: 9999px; /* rounded-full */
+            box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06); /* shadow-md */
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            transition: all 0.3s ease-in-out;
+        }
+        .scroll-button:hover {
+            background-color: #4338ca; /* hover:bg-primary-700 */
+            box-shadow: 0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05); /* hover:shadow-lg */
+        }
+        {% block head_extra_styles %}
+        {% endblock %}
+    </style>
+    {% block head_extra_scripts %}{% endblock %}
+</head>
+<body class="bg-gradient min-h-screen text-gray-800 pt-6 pb-16">
+    {% block content %}{% endblock %}
+
+    <!-- 底部版权 -->
+    <div class="fixed bottom-0 left-0 w-full py-3 bg-white bg-opacity-80 backdrop-blur-md text-center text-sm text-gray-600 border-t border-gray-200">
+        © <span id="copyright-year"></span> by
+        <a href="https://linux.do/u/snaily" target="_blank" class="text-primary-600 hover:text-primary-800 transition duration-300">
+            <img src="https://linux.do/user_avatar/linux.do/snaily/288/306510_2.gif" alt="snaily" class="inline-block w-5 h-5 rounded-full align-middle mr-1">snaily
+        </a> |
+        <a href="https://github.com/snailyp/gemini-balance" target="_blank" class="text-primary-600 hover:text-primary-800 transition duration-300">
+            <i class="fab fa-github"></i> GitHub
+        </a> |
+        <a href="https://afdian.com/a/snaily" target="_blank" class="text-primary-600 hover:text-primary-800 transition duration-300">
+            <i class="fas fa-drumstick-bite text-yellow-600"></i> 给作者加鸡腿
+        </a>
+        <span class="mx-1">|</span>
+        <span class="text-xs text-yellow-600 font-semibold">
+            <i class="fas fa-exclamation-triangle mr-1"></i>免费项目，谨防诈骗
+        </span>
+        {% if request and request.app.state.update_info %}
+            {% set update_info = request.app.state.update_info %}
+            <span class="mx-1">|</span>
+            <span class="text-xs text-gray-500">v{{ update_info.current_version }}</span>
+            {% if update_info.update_available %}
+                <span class="mx-1">|</span>
+                <a href="https://github.com/snailyp/gemini-balance/releases/latest" target="_blank" class="text-yellow-600 hover:text-yellow-800 transition duration-300 animate-pulse">
+                    <i class="fas fa-arrow-up"></i> 新版本: v{{ update_info.latest_version }}
+                </a>
+            {% elif update_info.error_message and update_info.error_message != 'Checking...' %}
+                 <span class="mx-1">|</span>
+                 <span class="text-xs text-red-500" title="{{ update_info.error_message }}">更新检查失败</span>
+            {% endif %}
+        {% endif %}
+    </div>
+
+    <!-- 通用JS -->
+    <script>
+        // 设置版权年份
+        document.getElementById('copyright-year').textContent = new Date().getFullYear();
+
+        // 滚动到顶部/底部函数 (如果页面需要)
+        function scrollToTop() {
+            window.scrollTo({ top: 0, behavior: 'smooth' });
+        }
+        function scrollToBottom() {
+            window.scrollTo({ top: document.body.scrollHeight, behavior: 'smooth' });
+        }
+
+        // 显示通知
+        function showNotification(message, type = 'success', duration = 3000) {
+            const notification = document.getElementById('notification') || createNotificationElement();
+            if (!notification) return;
+
+            notification.textContent = message;
+            notification.className = 'notification show'; // Reset classes
+            if (type === 'error') {
+                notification.classList.add('error');
+            }
+
+            // Clear previous timeout if exists
+            if (notification.timeoutId) {
+                clearTimeout(notification.timeoutId);
+            }
+
+            notification.timeoutId = setTimeout(() => {
+                notification.classList.remove('show');
+                // Optional: remove the element after fade out if dynamically created
+                // setTimeout(() => notification.remove(), 300);
+            }, duration);
+        }
+
+        // Helper to create notification element if it doesn't exist
+        function createNotificationElement() {
+            let notification = document.getElementById('notification');
+            if (!notification) {
+                notification = document.createElement('div');
+                notification.id = 'notification';
+                notification.className = 'notification';
+                document.body.appendChild(notification);
+            }
+            return notification;
+        }
+
+        // 页面刷新带加载状态
+        function refreshPage(button) {
+            if (button) {
+                const icon = button.querySelector('i');
+                if (icon) {
+                    icon.classList.add('loading-spin');
+                }
+            }
+            setTimeout(() => {
+                window.location.reload();
+            }, 300); // Short delay to show spinner
+        }
+
+    </script>
+    {% block body_scripts %}{% endblock %}
+</body>
+</html>

app/templates/config_editor.html

@@ -0,0 +1,536 @@
+{% extends "base.html" %}
+
+{% block title %}配置编辑器 - Gemini Balance{% endblock %}
+
+{% block head_extra_styles %}
+<style>
+    /* config_editor.html specific styles */
+    /* Animations (already in base.html, but keep fade-in class usage) */
+    .fade-in {
+        animation: fadeIn 0.3s ease forwards;
+    }
+    /* Modal specific styles (already in base.html) */
+    .array-container {
+        max-height: 300px;
+        overflow-y: auto;
+        padding-right: 5px; /* Keep specific padding if needed */
+    }
+    #API_KEYS_container { /* Keep specific ID styling if needed */
+        max-height: 300px;
+        overflow-y: auto;
+    }
+    .config-section {
+        display: none;
+    }
+    .config-section.active {
+        display: block;
+        animation: fadeIn 0.3s ease forwards; /* Use base animation */
+    }
+    .provider-config {
+        display: none;
+    }
+    .provider-config.active {
+        display: block;
+    }
+    /* Tailwind Toggle Switch Helper CSS */
+    .toggle-checkbox:checked {
+      @apply: right-0 border-primary-600;
+      right: 0;
+      border-color: #4F46E5;
+    }
+    .toggle-checkbox:checked + .toggle-label {
+      @apply: bg-primary-600;
+      background-color: #4F46E5;
+    }
+    /* 统一通知样式为黑色半透明，确保与 keys_status 一致 */
+    .notification {
+        background: rgba(0,0,0,0.8) !important;
+        color: #fff !important;
+    }
+</style>
+{% endblock %}
+
+{% block content %}
+    <div class="container max-w-4xl mx-auto px-4">
+        <div class="glass-card rounded-2xl shadow-xl p-6 md:p-8">
+            <button class="absolute top-6 right-6 bg-white bg-opacity-20 hover:bg-opacity-30 rounded-full w-8 h-8 flex items-center justify-center text-primary-600 transition-all duration-300" onclick="refreshPage(this)">
+                <i class="fas fa-sync-alt"></i>
+            </button>
+            
+            <h1 class="text-3xl font-extrabold text-center text-transparent bg-clip-text bg-gradient-to-r from-primary-600 to-primary-700 mb-4">
+                 <img src="/static/icons/logo.png" alt="Gemini Balance Logo" class="h-9 inline-block align-middle mr-2">
+                 Gemini Balance - 配置编辑
+            </h1>
+            
+            <!-- Navigation Tabs -->
+            <div class="flex justify-center mb-8 overflow-x-auto pb-2 gap-2">
+                <a href="/config" class="whitespace-nowrap flex items-center justify-center gap-2 px-6 py-3 font-medium rounded-lg bg-primary-600 text-white shadow-md">
+                    <i class="fas fa-cog"></i> 配置编辑
+                </a>
+                <a href="/keys" class="whitespace-nowrap flex items-center justify-center gap-2 px-6 py-3 font-medium rounded-lg bg-white bg-opacity-50 hover:bg-opacity-70 text-gray-700 transition-all duration-200">
+                    <i class="fas fa-tachometer-alt"></i> 监控面板
+                </a>
+                <a href="/logs" class="whitespace-nowrap flex items-center justify-center gap-2 px-6 py-3 font-medium rounded-lg bg-white bg-opacity-50 hover:bg-opacity-70 text-gray-700 transition-all duration-200">
+                    <i class="fas fa-exclamation-triangle"></i> 错误日志
+                </a>
+            </div>
+            
+            <!-- Config Tabs -->
+            <div class="flex justify-center mb-6 flex-wrap gap-2">
+                <button class="tab-btn bg-primary-600 text-white px-5 py-2 rounded-full shadow-md font-medium text-sm" data-tab="api">
+                    API配置
+                </button>
+                <button class="tab-btn bg-white bg-opacity-50 text-gray-700 px-5 py-2 rounded-full font-medium text-sm hover:bg-opacity-70 transition-all duration-200" data-tab="model">
+                    模型配置
+                </button>
+                <button class="tab-btn bg-white bg-opacity-50 text-gray-700 px-5 py-2 rounded-full font-medium text-sm hover:bg-opacity-70 transition-all duration-200" data-tab="image">
+                    图像生成
+                </button>
+                <button class="tab-btn bg-white bg-opacity-50 text-gray-700 px-5 py-2 rounded-full font-medium text-sm hover:bg-opacity-70 transition-all duration-200" data-tab="stream">
+                    流式输出
+                </button>
+                <button class="tab-btn bg-white bg-opacity-50 text-gray-700 px-5 py-2 rounded-full font-medium text-sm hover:bg-opacity-70 transition-all duration-200" data-tab="scheduler">
+                    定时任务
+                </button>
+                <button class="tab-btn bg-white bg-opacity-50 text-gray-700 px-5 py-2 rounded-full font-medium text-sm hover:bg-opacity-70 transition-all duration-200" data-tab="logging">
+                    日志配置
+                </button>
+            </div>
+            
+            <!-- Save Status Banner (Removed - using notification component now) -->
+            
+            <!-- Configuration Form -->
+            <form id="configForm" class="mt-6">
+                <!-- API 相关配置 -->
+                <div class="config-section active bg-white bg-opacity-70 rounded-xl p-6 mb-6 shadow-lg" id="api-section">
+                    <h2 class="text-xl font-bold mb-6 pb-3 border-b border-gray-200 flex items-center gap-2">
+                        <i class="fas fa-key text-primary-600"></i> API相关配置
+                    </h2>
+                    
+                    <!-- API密钥列表 -->
+                    <div class="mb-6">
+                        <label for="API_KEYS" class="block font-semibold mb-2 text-gray-700">API密钥列表</label>
+                        <div class="mb-2">
+                            <input type="search" id="apiKeySearchInput" placeholder="搜索密钥..." class="w-full px-4 py-2 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        </div>
+                        <div class="array-container bg-white rounded-lg border border-gray-200 p-4 mb-2" id="API_KEYS_container">
+                            <!-- 数组项将在这里动态添加 -->
+                        </div>
+                        <div class="flex justify-end gap-2">
+                            <button type="button" class="bg-danger-600 hover:bg-danger-700 text-white px-4 py-2 rounded-lg font-medium transition-all duration-200 flex items-center gap-2" id="bulkDeleteApiKeyBtn">
+                                <i class="fas fa-trash-alt"></i> 删除密钥
+                            </button>
+                            <button type="button" class="bg-primary-600 hover:bg-primary-700 text-white px-4 py-2 rounded-lg font-medium transition-all duration-200 flex items-center gap-2" id="addApiKeyBtn">
+                                <i class="fas fa-plus"></i> 添加密钥
+                            </button>
+                        </div>
+                        <small class="text-gray-500 mt-1 block">Gemini API密钥列表，每行一个</small>
+                    </div>
+                    
+                    <!-- 允许的令牌列表 -->
+                    <div class="mb-6">
+                        <label for="ALLOWED_TOKENS" class="block font-semibold mb-2 text-gray-700">允许的令牌列表</label>
+                        <div class="array-container bg-white rounded-lg border border-gray-200 p-4 mb-2" id="ALLOWED_TOKENS_container">
+                            <!-- 数组项将在这里动态添加 -->
+                        </div>
+                        <div class="flex justify-end">
+                            <button type="button" class="bg-primary-600 hover:bg-primary-700 text-white px-4 py-2 rounded-lg font-medium transition-all duration-200 flex items-center gap-2" onclick="addArrayItem('ALLOWED_TOKENS')">
+                                <i class="fas fa-plus"></i> 添加令牌
+                            </button>
+                        </div>
+                        <small class="text-gray-500 mt-1 block">允许访问API的令牌列表</small>
+                    </div>
+                    
+                    <!-- 认证令牌 -->
+                    <div class="mb-6">
+                        <label for="AUTH_TOKEN" class="block font-semibold mb-2 text-gray-700">认证令牌</label>
+                        <div class="flex items-center">
+                            <div class="flex items-center flex-grow border border-gray-300 rounded-md focus-within:border-primary-500 focus-within:ring focus-within:ring-primary-200 focus-within:ring-opacity-50">
+                                <input type="text" id="AUTH_TOKEN" name="AUTH_TOKEN" placeholder="默认使用ALLOWED_TOKENS中的第一个" class="array-input flex-grow px-3 py-2 border-none rounded-l-md focus:outline-none">
+                                <button type="button" id="generateAuthTokenBtn" class="generate-btn px-2 py-2 text-gray-500 hover:text-primary-600 focus:outline-none rounded-r-md bg-gray-100 hover:bg-gray-200 transition-colors" title="生成随机令牌">
+                                    <i class="fas fa-dice"></i>
+                                </button>
+                            </div>
+                        </div>
+                        <small class="text-gray-500 mt-1 block">用于API认证的令牌</small>
+                    </div>
+                    
+                    <!-- API基础URL -->
+                    <div class="mb-6">
+                        <label for="BASE_URL" class="block font-semibold mb-2 text-gray-700">API基础URL</label>
+                        <input type="text" id="BASE_URL" name="BASE_URL" placeholder="https://generativelanguage.googleapis.com/v1beta" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">Gemini API的基础URL</small>
+                    </div>
+                    
+                    <!-- 最大失败次数 -->
+                    <div class="mb-6">
+                        <label for="MAX_FAILURES" class="block font-semibold mb-2 text-gray-700">最大失败次数</label>
+                        <input type="number" id="MAX_FAILURES" name="MAX_FAILURES" min="1" max="100" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">API密钥失败后标记为无效的次数</small>
+                    </div>
+                    
+                    <!-- 请求超时时间 -->
+                    <div class="mb-6">
+                        <label for="TIME_OUT" class="block font-semibold mb-2 text-gray-700">请求超时时间（秒）</label>
+                        <input type="number" id="TIME_OUT" name="TIME_OUT" min="1" max="600" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">API请求的超时时间</small>
+                    </div>
+                    
+                    <!-- 最大重试次数 -->
+                    <div class="mb-6">
+                        <label for="MAX_RETRIES" class="block font-semibold mb-2 text-gray-700">最大重试次数</label>
+                        <input type="number" id="MAX_RETRIES" name="MAX_RETRIES" min="0" max="10" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">API请求失败后的最大重试次数</small>
+                    </div>
+                </div>
+                
+                <!-- 模型相关配置 -->
+                <div class="config-section bg-white bg-opacity-70 rounded-xl p-6 mb-6 shadow-lg" id="model-section">
+                    <h2 class="text-xl font-bold mb-6 pb-3 border-b border-gray-200 flex items-center gap-2">
+                        <i class="fas fa-robot text-primary-600"></i> 模型相关配置
+                    </h2>
+                    
+                    <!-- 测试模型 -->
+                    <div class="mb-6">
+                        <label for="TEST_MODEL" class="block font-semibold mb-2 text-gray-700">测试模型</label>
+                        <input type="text" id="TEST_MODEL" name="TEST_MODEL" placeholder="gemini-1.5-flash" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">用于测试API密钥的模型</small>
+                    </div>
+                    
+                    <!-- 图像模型列表 -->
+                    <div class="mb-6">
+                        <label for="IMAGE_MODELS" class="block font-semibold mb-2 text-gray-700">图像模型列表</label>
+                        <div class="array-container bg-white rounded-lg border border-gray-200 p-4 mb-2" id="IMAGE_MODELS_container">
+                            <!-- 数组项将在这里动态添加 -->
+                        </div>
+                        <div class="flex justify-end">
+                            <button type="button" class="bg-primary-600 hover:bg-primary-700 text-white px-4 py-2 rounded-lg font-medium transition-all duration-200 flex items-center gap-2" onclick="addArrayItem('IMAGE_MODELS')">
+                                <i class="fas fa-plus"></i> 添加模型
+                            </button>
+                        </div>
+                        <small class="text-gray-500 mt-1 block">支持图像处理的模型列表</small>
+                    </div>
+                    
+                    <!-- 搜索模型列表 -->
+                    <div class="mb-6">
+                        <label for="SEARCH_MODELS" class="block font-semibold mb-2 text-gray-700">搜索模型列表</label>
+                        <div class="array-container bg-white rounded-lg border border-gray-200 p-4 mb-2" id="SEARCH_MODELS_container">
+                            <!-- 数组项将在这里动态添加 -->
+                        </div>
+                        <div class="flex justify-end">
+                            <button type="button" class="bg-primary-600 hover:bg-primary-700 text-white px-4 py-2 rounded-lg font-medium transition-all duration-200 flex items-center gap-2" onclick="addArrayItem('SEARCH_MODELS')">
+                                <i class="fas fa-plus"></i> 添加模型
+                            </button>
+                        </div>
+                        <small class="text-gray-500 mt-1 block">支持搜索功能的模型列表</small>
+                    </div>
+                    
+                    <!-- 过滤模型列表 -->
+                    <div class="mb-6">
+                        <label for="FILTERED_MODELS" class="block font-semibold mb-2 text-gray-700">过滤模型列表</label>
+                        <div class="array-container bg-white rounded-lg border border-gray-200 p-4 mb-2" id="FILTERED_MODELS_container">
+                            <!-- 数组项将在这里动态添加 -->
+                        </div>
+                        <div class="flex justify-end">
+                            <button type="button" class="bg-primary-600 hover:bg-primary-700 text-white px-4 py-2 rounded-lg font-medium transition-all duration-200 flex items-center gap-2" onclick="addArrayItem('FILTERED_MODELS')">
+                                <i class="fas fa-plus"></i> 添加模型
+                            </button>
+                        </div>
+                        <small class="text-gray-500 mt-1 block">需要过滤的模型列表</small>
+                    </div>
+                    
+                    <!-- 启用代码执行工具 -->
+                    <div class="mb-6 flex items-center justify-between">
+                        <label for="TOOLS_CODE_EXECUTION_ENABLED" class="font-semibold text-gray-700">启用代码执行工具</label>
+                        <div class="relative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in">
+                            <input type="checkbox" name="TOOLS_CODE_EXECUTION_ENABLED" id="TOOLS_CODE_EXECUTION_ENABLED" class="toggle-checkbox absolute block w-6 h-6 rounded-full bg-white border-4 appearance-none cursor-pointer"/>
+                            <label for="TOOLS_CODE_EXECUTION_ENABLED" class="toggle-label block overflow-hidden h-6 rounded-full bg-gray-300 cursor-pointer"></label>
+                        </div>
+                    </div>
+                    
+                    <!-- 显示搜索链接 -->
+                    <div class="mb-6 flex items-center justify-between">
+                        <label for="SHOW_SEARCH_LINK" class="font-semibold text-gray-700">显示搜索链接</label>
+                        <div class="relative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in">
+                            <input type="checkbox" name="SHOW_SEARCH_LINK" id="SHOW_SEARCH_LINK" class="toggle-checkbox absolute block w-6 h-6 rounded-full bg-white border-4 appearance-none cursor-pointer"/>
+                            <label for="SHOW_SEARCH_LINK" class="toggle-label block overflow-hidden h-6 rounded-full bg-gray-300 cursor-pointer"></label>
+                        </div>
+                    </div>
+                    
+                    <!-- 显示思考过程 -->
+                    <div class="mb-6 flex items-center justify-between">
+                        <label for="SHOW_THINKING_PROCESS" class="font-semibold text-gray-700">显示思考过程</label>
+                        <div class="relative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in">
+                            <input type="checkbox" name="SHOW_THINKING_PROCESS" id="SHOW_THINKING_PROCESS" class="toggle-checkbox absolute block w-6 h-6 rounded-full bg-white border-4 appearance-none cursor-pointer"/>
+                            <label for="SHOW_THINKING_PROCESS" class="toggle-label block overflow-hidden h-6 rounded-full bg-gray-300 cursor-pointer"></label>
+                        </div>
+                    </div>
+
+                    <!-- 思考模型列表 -->
+                    <div class="mb-6">
+                        <label for="THINKING_MODELS" class="block font-semibold mb-2 text-gray-700">思考模型列表</label>
+                        <div class="array-container bg-white rounded-lg border border-gray-200 p-4 mb-2" id="THINKING_MODELS_container">
+                            <!-- 数组项将在这里动态添加 -->
+                        </div>
+                        <div class="flex justify-end">
+                            <button type="button" class="bg-primary-600 hover:bg-primary-700 text-white px-4 py-2 rounded-lg font-medium transition-all duration-200 flex items-center gap-2" onclick="addArrayItem('THINKING_MODELS')">
+                                <i class="fas fa-plus"></i> 添加模型
+                            </button>
+                        </div>
+                        <small class="text-gray-500 mt-1 block">用于“思考过程”的模型列表</small>
+                    </div>
+
+                    <!-- 思考模型预算映射 -->
+                    <div class="mb-6">
+                        <label for="THINKING_BUDGET_MAP" class="block font-semibold mb-2 text-gray-700">思考模型预算映射</label>
+                        <div class="bg-white rounded-lg border border-gray-200 p-4 mb-2 space-y-3" id="THINKING_BUDGET_MAP_container">
+                            <!-- 键值对将在这里动态添加 -->
+                            <div class="text-gray-500 text-sm italic">请先在上方添加思考模型，然后在此处配置预算。</div>
+                        </div>
+                        <!-- 移除添加预算映射按钮 -->
+                        <!-- <div class="flex justify-end">
+                            <button type="button" class="bg-primary-600 hover:bg-primary-700 text-white px-4 py-2 rounded-lg font-medium transition-all duration-200 flex items-center gap-2" id="addBudgetMapItemBtn">
+                                <i class="fas fa-plus"></i> 添加预算映射
+                            </button>
+                        </div> -->
+                        <small class="text-gray-500 mt-1 block">为每个思考模型设置预算（整数，最大值 24576），此项与上方模型列表自动关联。</small>
+                    </div>
+                </div>
+
+                <!-- 图像生成相关配置 -->
+                <div class="config-section bg-white bg-opacity-70 rounded-xl p-6 mb-6 shadow-lg" id="image-section">
+                    <h2 class="text-xl font-bold mb-6 pb-3 border-b border-gray-200 flex items-center gap-2">
+                        <i class="fas fa-image text-primary-600"></i> 图像生成配置
+                    </h2>
+                    
+                    <!-- 付费API密钥 -->
+                    <div class="mb-6">
+                        <label for="PAID_KEY" class="block font-semibold mb-2 text-gray-700">付费API密钥</label>
+                        <input type="text" id="PAID_KEY" name="PAID_KEY" placeholder="AIzaSyxxxxxxxxxxxxxxxxxxx" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">用于图像生成的付费API密钥</small>
+                    </div>
+                    
+                    <!-- 图像生成模型 -->
+                    <div class="mb-6">
+                        <label for="CREATE_IMAGE_MODEL" class="block font-semibold mb-2 text-gray-700">图像生成模型</label>
+                        <input type="text" id="CREATE_IMAGE_MODEL" name="CREATE_IMAGE_MODEL" placeholder="imagen-3.0-generate-002" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">用于图像生成的模型</small>
+                    </div>
+                    
+                    <!-- 上传提供商 -->
+                    <div class="mb-6">
+                        <label for="UPLOAD_PROVIDER" class="block font-semibold mb-2 text-gray-700">上传提供商</label>
+                        <select id="UPLOAD_PROVIDER" name="UPLOAD_PROVIDER" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50 bg-white">
+                            <option value="smms" selected>SM.MS</option>
+                            <option value="picgo">PicGo</option>
+                            <option value="cloudflare_imgbed">Cloudflare</option>
+                        </select>
+                        <small class="text-gray-500 mt-1 block">图片上传服务提供商</small>
+                    </div>
+                    
+                    <!-- SM.MS密钥 -->
+                    <div class="mb-6 provider-config active" data-provider="smms">
+                        <label for="SMMS_SECRET_TOKEN" class="block font-semibold mb-2 text-gray-700">SM.MS密钥</label>
+                        <input type="text" id="SMMS_SECRET_TOKEN" name="SMMS_SECRET_TOKEN" placeholder="XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">SM.MS图床的密钥</small>
+                    </div>
+                    
+                    <!-- PicGo API密钥 -->
+                    <div class="mb-6 provider-config" data-provider="picgo">
+                        <label for="PICGO_API_KEY" class="block font-semibold mb-2 text-gray-700">PicGo API密钥</label>
+                        <input type="text" id="PICGO_API_KEY" name="PICGO_API_KEY" placeholder="xxxx" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">PicGo的API密钥</small>
+                    </div>
+                    
+                    <!-- Cloudflare图床URL -->
+                    <div class="mb-6 provider-config" data-provider="cloudflare_imgbed">
+                        <label for="CLOUDFLARE_IMGBED_URL" class="block font-semibold mb-2 text-gray-700">Cloudflare图床URL</label>
+                        <input type="text" id="CLOUDFLARE_IMGBED_URL" name="CLOUDFLARE_IMGBED_URL" placeholder="https://xxxxxxx.pages.dev/upload" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">Cloudflare图床的URL</small>
+                    </div>
+                    
+                    <!-- Cloudflare认证码 -->
+                    <div class="mb-6 provider-config" data-provider="cloudflare_imgbed">
+                        <label for="CLOUDFLARE_IMGBED_AUTH_CODE" class="block font-semibold mb-2 text-gray-700">Cloudflare认证码</label>
+                        <input type="text" id="CLOUDFLARE_IMGBED_AUTH_CODE" name="CLOUDFLARE_IMGBED_AUTH_CODE" placeholder="xxxxxxxxx" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">Cloudflare图床的认证码</small>
+                    </div>
+                </div>
+                
+                <!-- 流式输出优化器配置 -->
+                <div class="config-section bg-white bg-opacity-70 rounded-xl p-6 mb-6 shadow-lg" id="stream-section">
+                    <h2 class="text-xl font-bold mb-6 pb-3 border-b border-gray-200 flex items-center gap-2">
+                        <i class="fas fa-stream text-primary-600"></i> 流式输出优化器
+                    </h2>
+                    
+                    <!-- 启用流式输出优化 -->
+                    <div class="mb-6 flex items-center justify-between">
+                        <label for="STREAM_OPTIMIZER_ENABLED" class="font-semibold text-gray-700">启用流式输出优化</label>
+                        <div class="relative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in">
+                            <input type="checkbox" name="STREAM_OPTIMIZER_ENABLED" id="STREAM_OPTIMIZER_ENABLED" class="toggle-checkbox absolute block w-6 h-6 rounded-full bg-white border-4 appearance-none cursor-pointer"/>
+                            <label for="STREAM_OPTIMIZER_ENABLED" class="toggle-label block overflow-hidden h-6 rounded-full bg-gray-300 cursor-pointer"></label>
+                        </div>
+                    </div>
+                    
+                    <!-- 最小延迟 -->
+                    <div class="mb-6">
+                        <label for="STREAM_MIN_DELAY" class="block font-semibold mb-2 text-gray-700">最小延迟（秒）</label>
+                        <input type="number" id="STREAM_MIN_DELAY" name="STREAM_MIN_DELAY" min="0" max="1" step="0.001" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">流式输出的最小延迟时间</small>
+                    </div>
+                    
+                    <!-- 最大延迟 -->
+                    <div class="mb-6">
+                        <label for="STREAM_MAX_DELAY" class="block font-semibold mb-2 text-gray-700">最大延迟（秒）</label>
+                        <input type="number" id="STREAM_MAX_DELAY" name="STREAM_MAX_DELAY" min="0" max="1" step="0.001" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">流式输出的最大延迟时间</small>
+                    </div>
+                    
+                    <!-- 短文本阈值 -->
+                    <div class="mb-6">
+                        <label for="STREAM_SHORT_TEXT_THRESHOLD" class="block font-semibold mb-2 text-gray-700">短文本阈值</label>
+                        <input type="number" id="STREAM_SHORT_TEXT_THRESHOLD" name="STREAM_SHORT_TEXT_THRESHOLD" min="1" max="100" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">短文本的字符阈值</small>
+                    </div>
+                    
+                    <!-- 长文本阈值 -->
+                    <div class="mb-6">
+                        <label for="STREAM_LONG_TEXT_THRESHOLD" class="block font-semibold mb-2 text-gray-700">长文本阈值</label>
+                        <input type="number" id="STREAM_LONG_TEXT_THRESHOLD" name="STREAM_LONG_TEXT_THRESHOLD" min="1" max="1000" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">长文本的字符阈值</small>
+                    </div>
+                    
+                    <!-- 分块大小 -->
+                    <div class="mb-6">
+                        <label for="STREAM_CHUNK_SIZE" class="block font-semibold mb-2 text-gray-700">分块大小</label>
+                        <input type="number" id="STREAM_CHUNK_SIZE" name="STREAM_CHUNK_SIZE" min="1" max="100" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">流式输出的分块大小</small>
+                    </div>
+                </div>
+
+                <!-- 定时任务配置 -->
+                <div class="config-section bg-white bg-opacity-70 rounded-xl p-6 mb-6 shadow-lg" id="scheduler-section">
+                    <h2 class="text-xl font-bold mb-6 pb-3 border-b border-gray-200 flex items-center gap-2">
+                        <i class="fas fa-clock text-primary-600"></i> 定时任务配置
+                    </h2>
+
+                    <!-- 检查间隔 -->
+                    <div class="mb-6">
+                        <label for="CHECK_INTERVAL_HOURS" class="block font-semibold mb-2 text-gray-700">检查间隔（小时）</label>
+                        <input type="number" id="CHECK_INTERVAL_HOURS" name="CHECK_INTERVAL_HOURS" min="1" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">定时检查密钥状态的间隔时间（单位：小时）</small>
+                    </div>
+
+                    <!-- 时区 -->
+                    <div class="mb-6">
+                        <label for="TIMEZONE" class="block font-semibold mb-2 text-gray-700">时区</label>
+                        <input type="text" id="TIMEZONE" name="TIMEZONE" placeholder="例如: Asia/Shanghai" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50">
+                        <small class="text-gray-500 mt-1 block">定时任务使用的时区，格式如 "Asia/Shanghai" 或 "UTC"</small>
+                    </div>
+                </div>
+
+                <!-- 日志配置 -->
+                <div class="config-section bg-white bg-opacity-70 rounded-xl p-6 mb-6 shadow-lg" id="logging-section">
+                    <h2 class="text-xl font-bold mb-6 pb-3 border-b border-gray-200 flex items-center gap-2">
+                        <i class="fas fa-file-alt text-primary-600"></i> 日志配置
+                    </h2>
+
+                    <!-- 日志级别 -->
+                    <div class="mb-6">
+                        <label for="LOG_LEVEL" class="block font-semibold mb-2 text-gray-700">日志级别</label>
+                        <select id="LOG_LEVEL" name="LOG_LEVEL" class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50 bg-white">
+                            <option value="DEBUG">DEBUG</option>
+                            <option value="INFO">INFO</option>
+                            <option value="WARNING">WARNING</option>
+                            <option value="ERROR">ERROR</option>
+                            <option value="CRITICAL">CRITICAL</option>
+                        </select>
+                        <small class="text-gray-500 mt-1 block">设置应用程序的日志记录详细程度</small>
+                    </div>
+                </div>
+                
+                <!-- Action Buttons -->
+                <div class="flex flex-col md:flex-row justify-center gap-4 mt-8">
+                    <button type="button" id="saveBtn" class="bg-gradient-to-r from-primary-600 to-primary-700 text-white px-8 py-3 rounded-xl font-semibold transition-all duration-300 transform hover:-translate-y-1 hover:shadow-lg flex items-center justify-center gap-2">
+                        <i class="fas fa-save"></i> 保存配置
+                    </button>
+                    <button type="button" id="resetBtn" class="bg-gradient-to-r from-gray-400 to-gray-500 text-white px-8 py-3 rounded-xl font-semibold transition-all duration-300 transform hover:-translate-y-1 hover:shadow-lg flex items-center justify-center gap-2">
+                        <i class="fas fa-undo"></i> 重置配置
+                    </button>
+                </div>
+            </form>
+        </div>
+    </div>
+    
+    <!-- Scroll buttons are now in base.html -->
+    <div class="scroll-buttons">
+         <button class="scroll-button" onclick="scrollToTop()" title="回到顶部">
+             <i class="fas fa-chevron-up"></i>
+         </button>
+         <button class="scroll-button" onclick="scrollToBottom()" title="滚动到底部">
+             <i class="fas fa-chevron-down"></i>
+         </button>
+     </div>
+    
+    <!-- Notification component is now in base.html -->
+    <div id="notification" class="notification"></div>
+    <!-- Footer is now in base.html -->
+    
+    <!-- API Key Add Modal -->
+    <div id="apiKeyModal" class="modal">
+        <div class="w-full max-w-lg mx-auto bg-white rounded-2xl shadow-2xl overflow-hidden animate-fade-in">
+            <div class="p-6">
+                <div class="flex justify-between items-center mb-4">
+                    <h2 class="text-xl font-bold text-gray-800">批量添加 API 密钥</h2>
+                    <button id="closeApiKeyModalBtn" class="text-gray-400 hover:text-gray-600 text-xl">&times;</button>
+                </div>
+                <p class="text-gray-600 mb-4">每行粘贴一个或多个密钥，将自动提取有效密钥并去重。</p>
+                <textarea id="apiKeyBulkInput" rows="10" placeholder="在此处粘贴 API 密钥..." class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50 font-mono text-sm"></textarea>
+                <div class="flex justify-end gap-3 mt-6">
+                    <button type="button" id="confirmAddApiKeyBtn" class="bg-primary-600 hover:bg-primary-700 text-white px-6 py-2 rounded-lg font-medium transition">确认添加</button>
+                    <button type="button" id="cancelAddApiKeyBtn" class="bg-gray-200 hover:bg-gray-300 text-gray-700 px-6 py-2 rounded-lg font-medium transition">取消</button>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <!-- Bulk Delete API Key Modal -->
+    <div id="bulkDeleteApiKeyModal" class="modal">
+        <div class="w-full max-w-lg mx-auto bg-white rounded-2xl shadow-2xl overflow-hidden animate-fade-in">
+            <div class="p-6">
+                <div class="flex justify-between items-center mb-4">
+                    <h2 class="text-xl font-bold text-gray-800">批量删除 API 密钥</h2>
+                    <button id="closeBulkDeleteModalBtn" class="text-gray-400 hover:text-gray-600 text-xl">&times;</button>
+                </div>
+                <p class="text-gray-600 mb-4">每行粘贴一个或多个密钥，将自动提取有效密钥并从列表中删除。</p>
+                <textarea id="bulkDeleteApiKeyInput" rows="10" placeholder="在此处粘贴要删除的 API 密钥..." class="w-full px-4 py-3 rounded-lg border border-gray-300 focus:border-danger-500 focus:ring focus:ring-danger-200 focus:ring-opacity-50 font-mono text-sm"></textarea>
+                <div class="flex justify-end gap-3 mt-6">
+                    <button type="button" id="confirmBulkDeleteApiKeyBtn" class="bg-danger-600 hover:bg-danger-700 text-white px-6 py-2 rounded-lg font-medium transition">确认删除</button>
+                    <button type="button" id="cancelBulkDeleteApiKeyBtn" class="bg-gray-200 hover:bg-gray-300 text-gray-700 px-6 py-2 rounded-lg font-medium transition">取消</button>
+                </div>
+            </div>
+        </div>
+    </div>
+    <!-- Reset Confirmation Modal -->
+    <div id="resetConfirmModal" class="modal">
+        <div class="w-full max-w-md mx-auto bg-white rounded-2xl shadow-2xl overflow-hidden animate-fade-in">
+            <div class="p-6">
+                <div class="flex justify-between items-center mb-4">
+                    <h2 class="text-xl font-bold text-gray-800">确认重置配置</h2>
+                    <button id="closeResetModalBtn" class="text-gray-400 hover:text-gray-600 text-xl">&times;</button>
+                </div>
+                <p class="text-gray-600 mb-6">确定要重置所有配置吗？<br>这将恢复到默认值，此操作不可撤销。</p>
+                <div class="flex justify-end gap-3">
+                    <button type="button" id="confirmResetBtn" class="bg-red-500 hover:bg-red-600 text-white px-6 py-2 rounded-lg font-medium transition">确认重置</button>
+                    <button type="button" id="cancelResetBtn" class="bg-primary-600 hover:bg-primary-700 text-white px-6 py-2 rounded-lg font-medium transition">取消</button>
+                </div>
+            </div>
+        </div>
+    </div>
+    
+{% endblock %}
+
+{% block body_scripts %}
+    <script src="/static/js/config_editor.js"></script>
+    <!-- Add any other page-specific JS initialization here if needed -->
+{% endblock %}

app/templates/error_logs.html

@@ -0,0 +1,242 @@
+{% extends "base.html" %}
+
+{% block title %}错误日志管理 - Gemini Balance{% endblock %}
+
+{% block head_extra_styles %}
+<style>
+    /* error_logs.html specific styles */
+    /* Table styles */
+    .styled-table th {
+        position: sticky;
+        top: 0;
+        background: #f3f4f6; /* bg-gray-100 */
+        z-index: 10;
+    }
+    .styled-table tbody tr:hover {
+        background-color: #f9fafb; /* bg-gray-50 */
+    }
+    .styled-table td {
+         padding: 12px 20px;
+         vertical-align: middle;
+         white-space: nowrap;
+         overflow: hidden;
+         text-overflow: ellipsis;
+         max-width: 250px;
+    }
+    /* Ensure error log column does not wrap and remove max-width */
+    .styled-table td:nth-child(4) { /* Assuming error log is the 4th column */
+        /* max-width: none; */
+        white-space: nowrap;
+    }
+    .btn-view-details {
+        background-color: #eef2ff; /* primary-50 */
+        color: #4f46e5; /* primary-600 */
+        padding: 6px 12px;
+        border-radius: 6px;
+        font-weight: 500;
+        transition: all 0.2s ease-in-out;
+        border: 1px solid #c7d2fe; /* primary-200 */
+    }
+    .btn-view-details:hover {
+        background-color: #c7d2fe; /* primary-200 */
+        color: #4338ca; /* primary-700 */
+        box-shadow: 0 2px 4px rgba(0,0,0,0.05);
+    }
+    @media (max-width: 768px) {
+        .search-container {
+            grid-template-columns: 1fr;
+        }
+    }
+    /* Modal styles are in base.html */
+</style>
+{% endblock %}
+
+{% block content %}
+    <div class="container mx-auto px-4"> <!-- Removed max-width-7xl for wider content -->
+        <div class="glass-card rounded-2xl shadow-xl p-6 md:p-8">
+            <!-- Removed refresh button from top right -->
+            
+            <h1 class="text-3xl font-extrabold text-center text-transparent bg-clip-text bg-gradient-to-r from-primary-600 to-primary-700 mb-4">
+                 <img src="/static/icons/logo.png" alt="Gemini Balance Logo" class="h-9 inline-block align-middle mr-2">
+                 Gemini Balance - 错误日志
+            </h1>
+            
+            <!-- Navigation Tabs -->
+            <div class="flex justify-center mb-8 overflow-x-auto pb-2 gap-2">
+                <a href="/config" class="whitespace-nowrap flex items-center justify-center gap-2 px-6 py-3 font-medium rounded-lg bg-white bg-opacity-50 hover:bg-opacity-70 text-gray-700 transition-all duration-200">
+                    <i class="fas fa-cog"></i> 配置编辑
+                </a>
+                <a href="/keys" class="whitespace-nowrap flex items-center justify-center gap-2 px-6 py-3 font-medium rounded-lg bg-white bg-opacity-50 hover:bg-opacity-70 text-gray-700 transition-all duration-200">
+                    <i class="fas fa-tachometer-alt"></i> 监控面板
+                </a>
+                <a href="/logs" class="whitespace-nowrap flex items-center justify-center gap-2 px-6 py-3 font-medium rounded-lg bg-primary-600 text-white shadow-md">
+                    <i class="fas fa-exclamation-triangle"></i> 错误日志
+                </a>
+            </div>
+            
+            <!-- 主内容区域 -->
+            <div class="bg-white bg-opacity-70 rounded-xl p-6 shadow-lg animate-fade-in">
+                <h2 class="text-xl font-bold mb-6 pb-3 border-b border-gray-200 flex items-center gap-2">
+                    <i class="fas fa-bug text-primary-600"></i> 错误日志列表
+                </h2>
+                
+                <!-- 控制区域 (Refresh button removed, page size moved below) -->
+                <!-- Removed the original controls div -->
+                
+                <!-- 搜索控件 -->
+                <div class="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-5 gap-3 mb-6">
+                    <input type="text" id="keySearch" placeholder="搜索密钥 (部分)" class="px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50 col-span-1 lg:col-span-1">
+                    <input type="text" id="errorSearch" placeholder="搜索错误类型/日志" class="px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50 col-span-1 lg:col-span-1">
+                    <div class="flex items-center gap-2 col-span-1 lg:col-span-2">
+                        <input type="datetime-local" id="startDate" class="px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50 flex-1 text-sm">
+                        <span class="text-gray-700">至</span>
+                        <input type="datetime-local" id="endDate" class="px-4 py-3 rounded-lg border border-gray-300 focus:border-primary-500 focus:ring focus:ring-primary-200 focus:ring-opacity-50 flex-1 text-sm">
+                    </div>
+                    <button id="searchBtn" class="flex items-center justify-center gap-2 bg-primary-600 hover:bg-primary-700 text-white px-4 py-3 rounded-lg font-medium transition-all duration-200 col-span-1">
+                        <i class="fas fa-search"></i> 搜索
+                    </button>
+                </div>
+                
+                <!-- 表格容器 - Enhanced Styling -->
+                <div class="overflow-x-auto rounded-lg border border-gray-200 mb-6 bg-white"> <!-- Removed shadow, added border -->
+                    <table class="styled-table w-full min-w-full text-sm"> <!-- Added text-sm -->
+                        <thead>
+                            <tr class="bg-primary-50 text-left text-primary-800"> <!-- Changed header background and text color -->
+                                <th class="px-5 py-3 font-semibold rounded-tl-lg">ID</th> <!-- Increased padding, adjusted rounding -->
+                                <th class="px-5 py-3 font-semibold">Gemini密钥</th>
+                                <th class="px-5 py-3 font-semibold">错误类型</th>
+                                <th class="px-5 py-3 font-semibold">错误码</th>
+                                <th class="px-5 py-3 font-semibold">模型名称</th>
+                                <th class="px-5 py-3 font-semibold">请求时间</th>
+                                <th class="px-5 py-3 font-semibold rounded-tr-lg">操作</th> <!-- Adjusted rounding -->
+                            </tr>
+                        </thead>
+                        <tbody id="errorLogsTable" class="divide-y divide-gray-200">
+                            <!-- 错误日志数据将通过JavaScript动态加载 -->
+                        </tbody>
+                    </table>
+                </div>
+                
+                <!-- 状态指示器 -->
+                <div id="loadingIndicator" class="flex items-center justify-center p-8 hidden">
+                    <div class="animate-spin rounded-full h-12 w-12 border-b-2 border-primary-600"></div>
+                    <p class="ml-4 text-lg text-gray-700 font-medium">加载中，请稍候...</p>
+                </div>
+                
+                <div id="noDataMessage" class="text-center py-12 text-gray-500 hidden">
+                    <i class="fas fa-inbox text-5xl mb-3"></i>
+                    <p class="text-lg">暂无错误日志数据</p>
+                </div>
+                
+                <div id="errorMessage" class="bg-danger-50 text-danger-600 p-4 rounded-lg font-medium text-center hidden">
+                    <i class="fas fa-exclamation-circle mr-2"></i>
+                    加载错误日志失败，请稍后重试。
+                </div>
+                
+                <!-- 分页与每页显示控件 -->
+                <div class="flex flex-col sm:flex-row justify-between items-center mt-6 gap-4">
+                     <!-- 每页显示控件 (Moved here) -->
+                     <div class="flex items-center gap-2 text-sm text-gray-700">
+                        <label for="pageSize" class="font-medium">每页显示:</label>
+                        <select id="pageSize" class="rounded-md border border-gray-300 focus:ring focus:ring-primary-200 focus:border-primary-500 px-2 py-1 bg-white text-sm">
+                            <option value="10">10</option>
+                            <option value="20" selected>20</option>
+                            <option value="50">50</option>
+                            <option value="100">100</option>
+                        </select>
+                        <span>条</span>
+                    </div>
+                    <!-- 分页控件 -->
+                    <div class="flex items-center gap-4"> <!-- Wrapper for pagination and input -->
+                        <ul class="pagination flex items-center gap-1" id="pagination">
+                            <!-- 分页控件将通过JavaScript动态加载 -->
+                        </ul>
+                        <!-- 页码输入跳转 -->
+                        <div class="flex items-center gap-1">
+                            <input type="number" id="pageInput" min="1" class="w-16 px-2 py-1 rounded-md border border-gray-300 text-sm focus:ring focus:ring-primary-200 focus:border-primary-500" placeholder="页码">
+                            <button id="goToPageBtn" class="px-3 py-1 bg-primary-600 hover:bg-primary-700 text-white text-sm rounded-md transition">跳转</button>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </div>
+    </div>
+    
+    <!-- Scroll buttons are now in base.html -->
+    <div class="scroll-buttons">
+         <button class="scroll-button" onclick="scrollToTop()" title="回到顶部">
+             <i class="fas fa-chevron-up"></i>
+         </button>
+         <button class="scroll-button" onclick="scrollToBottom()" title="滚动到底部">
+             <i class="fas fa-chevron-down"></i>
+         </button>
+     </div>
+    
+    <!-- Notification component is now in base.html (use id="notification") -->
+    <div id="notification" class="notification"></div>
+    <!-- Footer is now in base.html -->
+    
+    <!-- 日志详情模态框 -->
+    <div id="logDetailModal" class="modal">
+        <div class="w-full max-w-6xl mx-auto bg-white rounded-2xl shadow-2xl overflow-hidden animate-fade-in"> <!-- Increased max-width to 6xl -->
+            <div class="p-6">
+                <div class="flex justify-between items-center border-b border-gray-200 pb-4 mb-4">
+                    <h2 class="text-xl font-bold text-gray-800">错误日志详情</h2>
+                    <button id="closeLogDetailModalBtn" class="text-gray-400 hover:text-gray-600 text-xl">&times;</button>
+                </div>
+                
+                <div class="space-y-4 max-h-[60vh] overflow-y-auto p-1">
+                    <div class="bg-gray-50 p-4 rounded-lg">
+                        <h6 class="text-sm font-semibold text-gray-600 mb-1">Gemini密钥:</h6>
+                        <pre id="modalGeminiKey" class="font-mono text-sm bg-gray-100 p-3 rounded overflow-x-auto"></pre>
+                    </div>
+                    
+                    <div class="bg-gray-50 p-4 rounded-lg">
+                        <h6 class="text-sm font-semibold text-gray-600 mb-1">错误类型:</h6>
+                        <p id="modalErrorType" class="text-danger-600 font-medium"></p>
+                    </div>
+                    
+                    <div class="bg-gray-50 p-4 rounded-lg relative group"> <!-- Added relative and group -->
+                        <h6 class="text-sm font-semibold text-gray-600 mb-1">错误日志:</h6>
+                        <pre id="modalErrorLog" class="font-mono text-sm bg-gray-100 p-3 rounded overflow-x-auto whitespace-pre-wrap"></pre>
+                        <button class="copy-btn absolute top-2 right-2 bg-gray-200 hover:bg-gray-300 text-gray-600 p-1.5 rounded opacity-0 group-hover:opacity-100 transition-opacity" data-target="modalErrorLog" title="复制错误日志">
+                            <i class="far fa-copy"></i>
+                        </button>
+                    </div>
+                    
+                    <div class="bg-gray-50 p-4 rounded-lg relative group"> <!-- Added relative and group -->
+                        <h6 class="text-sm font-semibold text-gray-600 mb-1">请求消息:</h6>
+                        <pre id="modalRequestMsg" class="font-mono text-sm bg-gray-100 p-3 rounded overflow-x-auto whitespace-pre-wrap"></pre>
+                         <button class="copy-btn absolute top-2 right-2 bg-gray-200 hover:bg-gray-300 text-gray-600 p-1.5 rounded opacity-0 group-hover:opacity-100 transition-opacity" data-target="modalRequestMsg" title="复制请求消息">
+                            <i class="far fa-copy"></i>
+                        </button>
+                    </div>
+                    
+                    <div class="bg-gray-50 p-4 rounded-lg">
+                        <h6 class="text-sm font-semibold text-gray-600 mb-1">模型名称:</h6>
+                        <p id="modalModelName" class="font-medium"></p>
+                    </div>
+                    
+                    <div class="bg-gray-50 p-4 rounded-lg">
+                        <h6 class="text-sm font-semibold text-gray-600 mb-1">请求时间:</h6>
+                        <p id="modalRequestTime" class="font-medium"></p>
+                    </div>
+                </div>
+                
+                <div class="flex justify-end mt-6">
+                    <button type="button" id="closeModalFooterBtn" class="bg-gray-200 hover:bg-gray-300 text-gray-800 px-6 py-2 rounded-lg font-medium transition">关闭</button>
+                </div>
+            </div>
+        </div>
+    </div>
+    
+{% endblock %}
+
+{% block body_scripts %}
+    <script src="/static/js/error_logs.js"></script>
+    <script>
+        // error_logs.html specific JS initialization (if any)
+        // e.g., initialize date pickers or other elements if needed
+        // The main logic is in error_logs.js
+    </script>
+{% endblock %}

app/utils/__init__.py

@@ -0,0 +1,3 @@
+"""
+工具包初始化模块
+"""

app/utils/helpers.py

@@ -0,0 +1,148 @@
+"""
+通用工具函数模块
+"""
+import json
+import re
+import base64
+import requests
+from typing import Dict, Any, List, Optional, Tuple
+
+from app.core.constants import DATA_URL_PATTERN, IMAGE_URL_PATTERN, VALID_IMAGE_RATIOS
+
+
+def extract_mime_type_and_data(base64_string: str) -> Tuple[Optional[str], str]:
+    """
+    从 base64 字符串中提取 MIME 类型和数据
+    
+    Args:
+        base64_string: 可能包含 MIME 类型信息的 base64 字符串
+        
+    Returns:
+        tuple: (mime_type, encoded_data)
+    """
+    # 检查字符串是否以 "data:" 格式开始
+    if base64_string.startswith('data:'):
+        # 提取 MIME 类型和数据
+        pattern = DATA_URL_PATTERN
+        match = re.match(pattern, base64_string)
+        if match:
+            mime_type = "image/jpeg" if match.group(1) == "image/jpg" else match.group(1)
+            encoded_data = match.group(2)
+            return mime_type, encoded_data
+    
+    # 如果不是预期格式，假定它只是数据部分
+    return None, base64_string
+
+
+def convert_image_to_base64(url: str) -> str:
+    """
+    将图片URL转换为base64编码
+    
+    Args:
+        url: 图片URL
+        
+    Returns:
+        str: base64编码的图片数据
+        
+    Raises:
+        Exception: 如果获取图片失败
+    """
+    response = requests.get(url)
+    if response.status_code == 200:
+        # 将图片内容转换为base64
+        img_data = base64.b64encode(response.content).decode('utf-8')
+        return img_data
+    else:
+        raise Exception(f"Failed to fetch image: {response.status_code}")
+
+
+def format_json_response(data: Dict[str, Any], indent: int = 2) -> str:
+    """
+    格式化JSON响应
+    
+    Args:
+        data: 要格式化的数据
+        indent: 缩进空格数
+        
+    Returns:
+        str: 格式化后的JSON字符串
+    """
+    return json.dumps(data, indent=indent, ensure_ascii=False)
+
+
+def parse_prompt_parameters(prompt: str, default_ratio: str = "1:1") -> Tuple[str, int, str]:
+    """
+    从prompt中解析参数
+    
+    支持的格式:
+    - {n:数量} 例如: {n:2} 生成2张图片
+    - {ratio:比例} 例如: {ratio:16:9} 使用16:9比例
+    
+    Args:
+        prompt: 提示文本
+        default_ratio: 默认比例
+        
+    Returns:
+        tuple: (清理后的提示文本, 图片数量, 比例)
+    """
+    # 默认值
+    n = 1
+    aspect_ratio = default_ratio
+    
+    # 解析n参数
+    n_match = re.search(r'{n:(\d+)}', prompt)
+    if n_match:
+        n = int(n_match.group(1))
+        if n < 1 or n > 4:
+            raise ValueError(f"Invalid n value: {n}. Must be between 1 and 4.")
+        prompt = prompt.replace(n_match.group(0), '').strip()
+        
+    # 解析ratio参数    
+    ratio_match = re.search(r'{ratio:(\d+:\d+)}', prompt)
+    if ratio_match:
+        aspect_ratio = ratio_match.group(1)
+        if aspect_ratio not in VALID_IMAGE_RATIOS:
+            raise ValueError(
+                f"Invalid ratio: {aspect_ratio}. Must be one of: {', '.join(VALID_IMAGE_RATIOS)}"
+            )
+        prompt = prompt.replace(ratio_match.group(0), '').strip()
+        
+    return prompt, n, aspect_ratio
+
+
+def extract_image_urls_from_markdown(text: str) -> List[str]:
+    """
+    从Markdown文本中提取图片URL
+    
+    Args:
+        text: Markdown文本
+        
+    Returns:
+        List[str]: 图片URL列表
+    """
+    pattern = IMAGE_URL_PATTERN
+    matches = re.findall(pattern, text)
+    return [match[1] for match in matches]
+
+
+def is_valid_api_key(key: str) -> bool:
+    """
+    检查API密钥格式是否有效
+    
+    Args:
+        key: API密钥
+        
+    Returns:
+        bool: 如果密钥格式有效则返回True
+    """
+    # 检查Gemini API密钥格式
+    if key.startswith('AIza'):
+        return len(key) >= 30
+    
+    # 检查OpenAI API密钥格式
+    if key.startswith('sk-'):
+        return len(key) >= 30
+    
+    return False
+
+

app/utils/uploader.py

@@ -0,0 +1,393 @@
+import requests
+from app.domain.image_models import ImageMetadata, ImageUploader, UploadResponse
+from enum import Enum
+from typing import Optional, Any
+
+class UploadErrorType(Enum):
+    """上传错误类型枚举"""
+    NETWORK_ERROR = "network_error"  # 网络请求错误
+    AUTH_ERROR = "auth_error"        # 认证错误
+    INVALID_FILE = "invalid_file"    # 无效文件
+    SERVER_ERROR = "server_error"    # 服务器错误
+    PARSE_ERROR = "parse_error"      # 响应解析错误
+    UNKNOWN = "unknown"              # 未知错误
+
+
+class UploadError(Exception):
+    """图片上传错误异常类"""
+    
+    def __init__(
+        self,
+        message: str,
+        error_type: UploadErrorType = UploadErrorType.UNKNOWN,
+        status_code: Optional[int] = None,
+        details: Optional[dict] = None,
+        original_error: Optional[Exception] = None
+    ):
+        """
+        初始化上传错误异常
+        
+        Args:
+            message: 错误消息
+            error_type: 错误类型
+            status_code: HTTP状态码
+            details: 详细错误信息
+            original_error: 原始异常
+        """
+        self.message = message
+        self.error_type = error_type
+        self.status_code = status_code
+        self.details = details or {}
+        self.original_error = original_error
+        
+        # 构建完整错误信息
+        full_message = f"[{error_type.value}] {message}"
+        if status_code:
+            full_message = f"{full_message} (Status: {status_code})"
+        if details:
+            full_message = f"{full_message} - Details: {details}"
+            
+        super().__init__(full_message)
+    
+    @classmethod
+    def from_response(cls, response: Any, message: Optional[str] = None) -> "UploadError":
+        """
+        从HTTP响应创建错误实例
+        
+        Args:
+            response: HTTP响应对象
+            message: 自定义错误消息
+        """
+        try:
+            error_data = response.json()
+            details = error_data.get("data", {})
+            return cls(
+                message=message or error_data.get("message", "Unknown error"),
+                error_type=UploadErrorType.SERVER_ERROR,
+                status_code=response.status_code,
+                details=details
+            )
+        except Exception:
+            return cls(
+                message=message or "Failed to parse error response",
+                error_type=UploadErrorType.PARSE_ERROR,
+                status_code=response.status_code
+            )
+
+
+class SmMsUploader(ImageUploader):
+    API_URL = "https://sm.ms/api/v2/upload"
+    
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+        
+    def upload(self, file: bytes, filename: str) -> UploadResponse:
+        try:
+            # 准备请求头
+            headers = {
+                "Authorization": f"Basic {self.api_key}"
+            }
+            
+            # 准备文件数据
+            files = {
+                "smfile": (filename, file, "image/png")
+            }
+            
+            # 发送请求
+            response = requests.post(
+                self.API_URL,
+                headers=headers,
+                files=files
+            )
+            
+            # 检查响应状态
+            response.raise_for_status()
+            
+            # 解析响应
+            result = response.json()
+            
+            # 验证上传是否成功
+            if not result.get("success"):
+                raise UploadError(result.get("message", "Upload failed"))
+                
+            # 转换为统一格式
+            data = result["data"]
+            image_metadata = ImageMetadata(
+                width=data["width"],
+                height=data["height"],
+                filename=data["filename"],
+                size=data["size"],
+                url=data["url"],
+                delete_url=data["delete"]
+            )
+            
+            return UploadResponse(
+                success=True,
+                code="success",
+                message="Upload success",
+                data=image_metadata
+            )
+            
+        except requests.RequestException as e:
+            # 处理网络请求相关错误
+            raise UploadError(f"Upload request failed: {str(e)}")
+        except (KeyError, ValueError) as e:
+            # 处理响应解析错误
+            raise UploadError(f"Invalid response format: {str(e)}")
+        except Exception as e:
+            # 处理其他未预期的错误
+            raise UploadError(f"Upload failed: {str(e)}")
+    
+    
+class QiniuUploader(ImageUploader):
+    def __init__(self, access_key: str, secret_key: str):
+        self.access_key = access_key
+        self.secret_key = secret_key
+        
+    def upload(self, file: bytes, filename: str) -> UploadResponse:
+        # 实现七牛云的具体上传逻辑
+        pass
+    
+    
+class PicGoUploader(ImageUploader):
+    """Chevereto API 图片上传器"""
+    
+    def __init__(self, api_key: str, api_url: str = "https://www.picgo.net/api/1/upload"):
+        """
+        初始化 Chevereto 上传器
+        
+        Args:
+            api_key: Chevereto API 密钥
+            api_url: Chevereto API 上传地址
+        """
+        self.api_key = api_key
+        self.api_url = api_url
+        
+    def upload(self, file: bytes, filename: str) -> UploadResponse:
+        """
+        上传图片到 Chevereto 服务
+        
+        Args:
+            file: 图片文件二进制数据
+            filename: 文件名
+            
+        Returns:
+            UploadResponse: 上传响应对象
+            
+        Raises:
+            UploadError: 上传失败时抛出异常
+        """
+        try:
+            # 准备请求头
+            headers = {
+                "X-API-Key": self.api_key
+            }
+            
+            # 准备文件数据
+            files = {
+                "source": (filename, file)
+            }
+            
+            # 发送请求
+            response = requests.post(
+                self.api_url,
+                headers=headers,
+                files=files
+            )
+            
+            # 检查响应状态
+            response.raise_for_status()
+            
+            # 解析响应
+            result = response.json()
+            
+            # 验证上传是否成功
+            if result.get("status_code") != 200:
+                error_message = "Upload failed"
+                if "error" in result:
+                    error_message = result["error"].get("message", error_message)
+                raise UploadError(
+                    message=error_message,
+                    error_type=UploadErrorType.SERVER_ERROR,
+                    status_code=result.get("status_code"),
+                    details=result.get("error")
+                )
+                
+            # 从响应中提取图片信息
+            image_data = result.get("image", {})
+            
+            # 构建图片元数据
+            image_metadata = ImageMetadata(
+                width=image_data.get("width", 0),
+                height=image_data.get("height", 0),
+                filename=image_data.get("filename", filename),
+                size=image_data.get("size", 0),
+                url=image_data.get("url", ""),
+                delete_url=image_data.get("delete_url", None)
+            )
+            
+            return UploadResponse(
+                success=True,
+                code="success",
+                message=result.get("success", {}).get("message", "Upload success"),
+                data=image_metadata
+            )
+            
+        except requests.RequestException as e:
+            # 处理网络请求相关错误
+            raise UploadError(
+                message=f"Upload request failed: {str(e)}",
+                error_type=UploadErrorType.NETWORK_ERROR,
+                original_error=e
+            )
+        except (KeyError, ValueError, TypeError) as e:
+            # 处理响应解析错误
+            raise UploadError(
+                message=f"Invalid response format: {str(e)}",
+                error_type=UploadErrorType.PARSE_ERROR,
+                original_error=e
+            )
+        except UploadError:
+            # 重新抛出已经是 UploadError 类型的异常
+            raise
+        except Exception as e:
+            # 处理其他未预期的错误
+            raise UploadError(
+                message=f"Upload failed: {str(e)}",
+                error_type=UploadErrorType.UNKNOWN,
+                original_error=e
+            )
+
+
+class CloudFlareImgBedUploader(ImageUploader):
+    """CloudFlare图床上传器"""
+    
+    def __init__(self, auth_code: str, api_url: str):
+        """
+        初始化CloudFlare图床上传器
+        
+        Args:
+            auth_code: 认证码
+            api_url: 上传API地址
+        """
+        self.auth_code = auth_code
+        self.api_url = api_url
+        
+    def upload(self, file: bytes, filename: str) -> UploadResponse:
+        """
+        上传图片到CloudFlare图床
+        
+        Args:
+            file: 图片文件二进制数据
+            filename: 文件名
+            
+        Returns:
+            UploadResponse: 上传响应对象
+            
+        Raises:
+            UploadError: 上传失败时抛出异常
+        """
+        try:
+            # 准备请求URL（添加认证码参数，如果存在）
+            if self.auth_code:
+                request_url = f"{self.api_url}?authCode={self.auth_code}&uploadNameType=origin"
+            else:
+                request_url = f"{self.api_url}?uploadNameType=origin"
+            
+            # 准备文件数据
+            files = {
+                "file": (filename, file)
+            }
+            
+            # 发送请求
+            response = requests.post(
+                request_url,
+                files=files
+            )
+            
+            # 检查响应状态
+            response.raise_for_status()
+            
+            # 解析响应
+            result = response.json()
+            
+            # 验证响应格式
+            if not result or not isinstance(result, list) or len(result) == 0:
+                raise UploadError(
+                    message="Invalid response format",
+                    error_type=UploadErrorType.PARSE_ERROR
+                )
+                
+            # 获取文件URL
+            file_path = result[0].get("src")
+            if not file_path:
+                raise UploadError(
+                    message="Missing file URL in response",
+                    error_type=UploadErrorType.PARSE_ERROR
+                )
+                
+            # 构建完整URL（如果返回的是相对路径）
+            base_url = self.api_url.split("/upload")[0]
+            full_url = file_path if file_path.startswith(("http://", "https://")) else f"{base_url}{file_path}"
+                
+            # 构建图片元数据（注意：CloudFlare-ImgBed不返回所有元数据，所以部分字段为默认值）
+            image_metadata = ImageMetadata(
+                width=0,  # CloudFlare-ImgBed不返回宽度
+                height=0,  # CloudFlare-ImgBed不返回高度
+                filename=filename,
+                size=0,  # CloudFlare-ImgBed不返回大小
+                url=full_url,
+                delete_url=None  # CloudFlare-ImgBed不返回删除URL
+            )
+            
+            return UploadResponse(
+                success=True,
+                code="success",
+                message="Upload success",
+                data=image_metadata
+            )
+            
+        except requests.RequestException as e:
+            # 处理网络请求相关错误
+            raise UploadError(
+                message=f"Upload request failed: {str(e)}",
+                error_type=UploadErrorType.NETWORK_ERROR,
+                original_error=e
+            )
+        except (KeyError, ValueError, TypeError, IndexError) as e:
+            # 处理响应解析错误
+            raise UploadError(
+                message=f"Invalid response format: {str(e)}",
+                error_type=UploadErrorType.PARSE_ERROR,
+                original_error=e
+            )
+        except UploadError:
+            # 重新抛出已经是 UploadError 类型的异常
+            raise
+        except Exception as e:
+            # 处理其他未预期的错误
+            raise UploadError(
+                message=f"Upload failed: {str(e)}",
+                error_type=UploadErrorType.UNKNOWN,
+                original_error=e
+            )
+    
+class ImageUploaderFactory:
+    @staticmethod
+    def create(provider: str, **credentials) -> ImageUploader:
+        if provider == "smms":
+            return SmMsUploader(credentials["api_key"])
+        elif provider == "qiniu":
+            return QiniuUploader(
+                credentials["access_key"], 
+                credentials["secret_key"]
+            )
+        elif provider == "picgo":
+            api_url = credentials.get("api_url", "https://www.picgo.net/api/1/upload")
+            return PicGoUploader(credentials["api_key"], api_url)
+        elif provider == "cloudflare_imgbed":
+            return CloudFlareImgBedUploader(
+                credentials["auth_code"],
+                credentials["base_url"]
+            )
+        raise ValueError(f"Unknown provider: {provider}")

docker-compose.yml

@@ -0,0 +1,39 @@
+volumes:
+  mysql_data:
+services:
+  gemini-balance:
+    image: ghcr.io/snailyp/gemini-balance:latest
+    container_name: gemini-balance
+    restart: unless-stopped
+    ports:
+      - "8000:8000"
+    env_file:
+      - .env
+    depends_on:
+      mysql:
+        condition: service_healthy
+    healthcheck:
+      test: ["CMD-SHELL", "python -c \"import requests; exit(0) if requests.get('http://localhost:8000/health').status_code == 200 else exit(1)\""]
+      interval: 30s
+      timeout: 5s
+      retries: 3
+      start_period: 10s
+  mysql:
+    image: mysql:8
+    container_name: gemini-balance-mysql
+    restart: unless-stopped
+    environment:
+      MYSQL_ROOT_PASSWORD: your_root_password
+      MYSQL_DATABASE: ${MYSQL_DATABASE}
+      MYSQL_USER: ${MYSQL_USER}
+      MYSQL_PASSWORD: ${MYSQL_PASSWORD}
+    # ports:
+    #   - "3306:3306"
+    volumes:
+      - mysql_data:/var/lib/mysql
+    healthcheck:
+      test: ["CMD", "mysqladmin", "ping", "-h", "127.0.0.1"]
+      interval: 10s # 每隔10秒检查一次
+      timeout: 5s   # 每次检查的超时时间为5秒
+      retries: 3    # 重试3次失败后标记为 unhealthy
+      start_period: 30s # 容器启动后等待30秒再开始第一次健康检查

requirements.txt

@@ -9,3 +9,13 @@ uvicorn
 google-genai
 jinja2
 python-multipart
+cryptography # 支持 MySQL 8+ caching_sha2_password 验证
+# 数据库相关依赖
+pymysql
+sqlalchemy
+aiomysql
+databases
+python-dotenv
+apscheduler # 添加定时任务库
+
+packaging