refactor: 全面清理死代码 — 删除 348 行无用代码

删除文件:
- training-export.ts: 训练数据导出(零引用,UI 已移除)

删除函数:
- workspace.ts: isProcessAlive, getActiveProcessCount, execWorkspaceCommand, terminateWorkspaceCommand
- sqlite.ts: deleteMessagesBySession, getSkill, closeDatabase
- tool-registry.ts: isToolEnabled
- cron-manager.ts: clearAllTimers
- workspace-panel.ts: setOnToolTerminated, setWorkspaceDirPath

删除 UI:
- index.html: 训练数据导出按钮及说明
- settings-modal.ts: 训练数据导出事件绑定
This commit is contained in:
thzxx
2026-04-18 10:08:01 +08:00
parent 6c9ffa5135
commit d2468cd6fc
8 changed files with 0 additions and 348 deletions
-9
View File
@@ -183,12 +183,3 @@ export async function restoreCronTasks(): Promise<void> {
logInfo(`定时任务已恢复: ${scheduled} 个任务`);
}
}
/**
* 清理所有定时器(应用退出时调用)
*/
export function clearAllTimers(): void {
for (const [id] of activeTimers) {
clearTimer(id);
}
}
-3
View File
@@ -572,9 +572,6 @@ export function setToolEnabled(toolName: string, enabled: boolean): void {
else enabledTools.delete(toolName);
}
export function isToolEnabled(toolName: string): boolean {
return enabledTools.has(toolName);
}
export function getEnabledToolDefinitions(): ToolDefinition[] {
const builtIn = TOOL_DEFINITIONS.filter(def => enabledTools.has(def.function.name));
-130
View File
@@ -1,130 +0,0 @@
/**
* TrainingExport - 训练数据导出 (v5.0)
* 将 Agent 执行轨迹转换为 SFT 训练数据格式
*/
import { state, KEYS } from '../state/state.js';
import { logInfo, logSuccess, logError } from './log-service.js';
interface SFTRecord {
instruction: string;
input: string;
output: string;
tools?: Array<{ name: string; arguments: Record<string, unknown> }>;
observations?: string[];
metadata?: {
session_id: string;
session_title: string;
timestamp: number;
model: string;
eval_count?: number;
total_duration?: number;
};
}
/**
* 导出所有会话的训练数据
* 从 traces + messages 中提取成功的工具调用链
*/
export async function exportTrainingData(): Promise<string | null> {
const bridge = (window as any).metonaDesktop;
if (!bridge?.db) return null;
try {
const sessions = await bridge.db.getAllSessions();
const records: SFTRecord[] = [];
for (const session of sessions) {
const messages = await bridge.db.getMessages(session.id);
const traces = await bridge.db.getTraces(session.id);
// 遍历消息对(user → assistant
for (let i = 0; i < messages.length - 1; i++) {
const userMsg = messages[i];
const asstMsg = messages[i + 1];
if (userMsg.role !== 'user' || asstMsg.role !== 'assistant') continue;
if (!userMsg.content || !asstMsg.content) continue;
// 解析工具调用
let tools: Array<{ name: string; arguments: Record<string, unknown> }> | undefined;
let observations: string[] | undefined;
if (asstMsg.tool_calls) {
try {
const toolCalls = JSON.parse(asstMsg.tool_calls);
if (Array.isArray(toolCalls) && toolCalls.length > 0) {
tools = toolCalls.map((tc: any) => ({
name: tc.name || tc.function?.name || 'unknown',
arguments: tc.arguments || tc.function?.arguments || {}
}));
}
} catch { /* ignore */ }
}
// 从 traces 中提取 observation
const sessionTraces = traces.filter(t =>
t.created_at >= userMsg.created_at && t.created_at <= asstMsg.created_at
);
if (sessionTraces.length > 0) {
observations = sessionTraces.map(t => t.observation || '').filter(Boolean);
}
records.push({
instruction: userMsg.content,
input: '',
output: asstMsg.content,
...(tools && { tools }),
...(observations?.length && { observations }),
metadata: {
session_id: session.id,
session_title: session.title,
timestamp: userMsg.created_at,
model: session.model,
...(asstMsg.eval_count && { eval_count: asstMsg.eval_count }),
...(asstMsg.total_duration && { total_duration: asstMsg.total_duration })
}
});
i++; // 跳过 assistant 消息
}
}
if (records.length === 0) {
logInfo('训练数据导出: 无可导出数据');
return null;
}
logSuccess(`训练数据导出完成: ${records.length} 条记录`);
return records.map(r => JSON.stringify(r)).join('\n');
} catch (err) {
logError('训练数据导出失败', (err as Error).message);
return null;
}
}
/**
* 保存训练数据到文件
*/
export async function saveTrainingData(): Promise<boolean> {
const bridge = (window as any).metonaDesktop;
if (!bridge?.dialog?.saveFile) return false;
const data = await exportTrainingData();
if (!data) return false;
try {
const filePath = await bridge.dialog.saveFile({
defaultPath: `metona-training-data-${new Date().toISOString().slice(0, 10)}.jsonl`,
filters: [{ name: 'JSONL', extensions: ['jsonl'] }, { name: 'JSON', extensions: ['json'] }]
});
if (!filePath) return false;
await bridge.fs.writeFile(filePath, data);
logSuccess(`训练数据已保存: ${filePath}`);
return true;
} catch (err) {
logError('保存训练数据失败', (err as Error).message);
return false;
}
}