♻️ refactor(playground): major architectural overhaul and code optimization

Completely restructured the Playground component from a 1437-line monolith
into a maintainable, modular architecture with 62.4% code reduction (540 lines).

**Key Improvements:**
- **Modular Architecture**: Extracted business logic into separate utility files
  - `utils/constants.js` - Centralized constant management
  - `utils/messageUtils.js` - Message processing utilities
  - `utils/apiUtils.js` - API-related helper functions
- **Custom Hooks**: Created specialized hooks for better state management
  - `usePlaygroundState.js` - Centralized state management
  - `useMessageActions.js` - Message operation handlers
  - `useApiRequest.js` - API request management
- **Code Quality**: Applied SOLID principles and functional programming patterns
- **Performance**: Optimized re-renders with useCallback and proper dependency arrays
- **Maintainability**: Implemented single responsibility principle and separation of concerns

**Technical Achievements:**
- Eliminated code duplication and redundancy
- Replaced magic strings with typed constants
- Extracted complex inline logic into pure functions
- Improved error handling and API response processing
- Enhanced code readability and testability

**Breaking Changes:** None - All existing functionality preserved

This refactor transforms the codebase into enterprise-grade quality following
React best practices and modern development standards.
This commit is contained in:
Apple\Apple
2025-05-30 22:14:44 +08:00
parent 0a848c2d6c
commit 4ae8bf2f71
9 changed files with 1456 additions and 1107 deletions

100
web/src/utils/apiUtils.js Normal file
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import { formatMessageForAPI } from './messageUtils';
// 构建API请求载荷
export const buildApiPayload = (messages, systemMessage, inputs, parameterEnabled) => {
const formattedMessages = messages.map(formatMessageForAPI);
if (systemMessage) {
formattedMessages.unshift(formatMessageForAPI(systemMessage));
}
const payload = {
messages: formattedMessages,
stream: inputs.stream,
model: inputs.model,
group: inputs.group,
};
// 添加可选参数
const optionalParams = [
'max_tokens', 'temperature', 'top_p',
'frequency_penalty', 'presence_penalty', 'seed'
];
optionalParams.forEach(param => {
if (parameterEnabled[param]) {
if (param === 'max_tokens' && inputs[param] > 0) {
payload[param] = parseInt(inputs[param]);
} else if (param === 'seed' && inputs[param] !== null && inputs[param] !== '') {
payload[param] = parseInt(inputs[param]);
} else if (param !== 'max_tokens' && param !== 'seed') {
payload[param] = inputs[param];
}
}
});
return payload;
};
// 处理API错误响应
export const handleApiError = (error, response = null) => {
const errorInfo = {
error: error.message || '未知错误',
timestamp: new Date().toISOString(),
stack: error.stack
};
if (response) {
errorInfo.status = response.status;
errorInfo.statusText = response.statusText;
}
if (error.message.includes('HTTP error')) {
errorInfo.details = '服务器返回了错误状态码';
} else if (error.message.includes('Failed to fetch')) {
errorInfo.details = '网络连接失败或服务器无响应';
}
return errorInfo;
};
// 处理模型数据
export const processModelsData = (data, currentModel) => {
const modelOptions = data.map(model => ({
label: model,
value: model,
}));
const hasCurrentModel = modelOptions.some(option => option.value === currentModel);
const selectedModel = hasCurrentModel && modelOptions.length > 0
? currentModel
: modelOptions[0]?.value;
return { modelOptions, selectedModel };
};
// 处理分组数据
export const processGroupsData = (data, userGroup) => {
let groupOptions = Object.entries(data).map(([group, info]) => ({
label: info.desc.length > 20 ? info.desc.substring(0, 20) + '...' : info.desc,
value: group,
ratio: info.ratio,
fullLabel: info.desc,
}));
if (groupOptions.length === 0) {
groupOptions = [{
label: '用户分组',
value: '',
ratio: 1,
}];
} else if (userGroup) {
const userGroupIndex = groupOptions.findIndex(g => g.value === userGroup);
if (userGroupIndex > -1) {
const userGroupOption = groupOptions.splice(userGroupIndex, 1)[0];
groupOptions.unshift(userGroupOption);
}
}
return groupOptions;
};

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// Playground 相关常量
export const DEFAULT_MESSAGES = [
{
role: 'user',
id: '2',
createAt: 1715676751919,
content: '你好',
},
{
role: 'assistant',
id: '3',
createAt: 1715676751919,
content: '你好,请问有什么可以帮助您的吗?',
reasoningContent: '',
isReasoningExpanded: false,
},
];
export const MESSAGE_STATUS = {
LOADING: 'loading',
INCOMPLETE: 'incomplete',
COMPLETE: 'complete',
ERROR: 'error',
};
export const MESSAGE_ROLES = {
USER: 'user',
ASSISTANT: 'assistant',
SYSTEM: 'system',
};
export const DEBUG_TABS = {
PREVIEW: 'preview',
REQUEST: 'request',
RESPONSE: 'response',
};
export const API_ENDPOINTS = {
CHAT_COMPLETIONS: '/pg/chat/completions',
USER_MODELS: '/api/user/models',
USER_GROUPS: '/api/user/self/groups',
};
export const DEFAULT_CONFIG = {
inputs: {
model: 'gpt-4',
group: '',
temperature: 0.7,
top_p: 1,
max_tokens: 2048,
frequency_penalty: 0,
presence_penalty: 0,
seed: null,
stream: true,
imageEnabled: false,
imageUrls: [''],
},
parameterEnabled: {
temperature: true,
top_p: false,
max_tokens: false,
frequency_penalty: false,
presence_penalty: false,
seed: false,
},
systemPrompt: '',
showDebugPanel: false,
};
export const THINK_TAG_REGEX = /<think>([\s\S]*?)<\/think>/g;
export const ERROR_MESSAGES = {
NO_TEXT_CONTENT: '此消息没有可复制的文本内容',
INVALID_MESSAGE_TYPE: '无法复制此类型的消息内容',
COPY_FAILED: '复制失败,请手动选择文本复制',
COPY_HTTPS_REQUIRED: '复制功能需要 HTTPS 环境,请手动复制',
BROWSER_NOT_SUPPORTED: '浏览器不支持复制功能,请手动复制',
};

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import { THINK_TAG_REGEX, MESSAGE_ROLES } from './constants';
// 生成唯一ID
let messageId = 4;
export const generateMessageId = () => `${messageId++}`;
// 提取消息中的文本内容
export const getTextContent = (message) => {
if (Array.isArray(message.content)) {
const textContent = message.content.find(item => item.type === 'text');
return textContent?.text || '';
}
return typeof message.content === 'string' ? message.content : '';
};
// 处理 think 标签
export const processThinkTags = (content, reasoningContent = '') => {
if (!content.includes('<think>')) {
return { content, reasoningContent };
}
let thoughts = [];
let replyParts = [];
let lastIndex = 0;
let match;
THINK_TAG_REGEX.lastIndex = 0;
while ((match = THINK_TAG_REGEX.exec(content)) !== null) {
replyParts.push(content.substring(lastIndex, match.index));
thoughts.push(match[1]);
lastIndex = match.index + match[0].length;
}
replyParts.push(content.substring(lastIndex));
const processedContent = replyParts.join('').replace(/<\/?think>/g, '').trim();
let processedReasoningContent = reasoningContent;
if (thoughts.length > 0) {
const thoughtsStr = thoughts.join('\n\n---\n\n');
processedReasoningContent = reasoningContent
? `${reasoningContent}\n\n---\n\n${thoughtsStr}`
: thoughtsStr;
}
return {
content: processedContent,
reasoningContent: processedReasoningContent
};
};
// 处理未完成的 think 标签
export const processIncompleteThinkTags = (content, reasoningContent = '') => {
const lastOpenThinkIndex = content.lastIndexOf('<think>');
if (lastOpenThinkIndex === -1) {
return processThinkTags(content, reasoningContent);
}
const fragmentAfterLastOpen = content.substring(lastOpenThinkIndex);
if (!fragmentAfterLastOpen.includes('</think>')) {
const unclosedThought = fragmentAfterLastOpen.substring('<think>'.length).trim();
const cleanContent = content.substring(0, lastOpenThinkIndex);
let processedReasoningContent = reasoningContent;
if (unclosedThought) {
processedReasoningContent = reasoningContent
? `${reasoningContent}\n\n---\n\n${unclosedThought}`
: unclosedThought;
}
return processThinkTags(cleanContent, processedReasoningContent);
}
return processThinkTags(content, reasoningContent);
};
// 构建消息内容(包含图片)
export const buildMessageContent = (textContent, imageUrls = [], imageEnabled = false) => {
const validImageUrls = imageUrls.filter(url => url.trim() !== '');
if (imageEnabled && validImageUrls.length > 0) {
return [
{ type: 'text', text: textContent },
...validImageUrls.map(url => ({
type: 'image_url',
image_url: { url: url.trim() }
}))
];
}
return textContent;
};
// 创建新消息
export const createMessage = (role, content, options = {}) => ({
role,
content,
createAt: Date.now(),
id: generateMessageId(),
...options
});
// 创建加载中的助手消息
export const createLoadingAssistantMessage = () => createMessage(
MESSAGE_ROLES.ASSISTANT,
'',
{
reasoningContent: '',
isReasoningExpanded: true,
status: 'loading'
}
);
// 检查消息是否包含图片
export const hasImageContent = (message) => {
return Array.isArray(message.content) &&
message.content.some(item => item.type === 'image_url');
};
// 格式化消息用于API请求
export const formatMessageForAPI = (message) => ({
role: message.role,
content: message.content
});