第一次提交

frontend/scripts/regression-training-log-mock.mjs

@@ -0,0 +1,77 @@
+import assert from 'node:assert/strict'
+import { readFile } from 'node:fs/promises'
+import { fileURLToPath } from 'node:url'
+import path from 'node:path'
+
+const scriptDir = path.dirname(fileURLToPath(import.meta.url))
+const mockDataPath = path.resolve(scriptDir, '../src/mock/data.ts')
+const mockAdapterPath = path.resolve(scriptDir, '../src/mock/adapter.ts')
+const modelPath = path.resolve(scriptDir, '../src/views/system/training-log/trainingLogModel.ts')
+const [mockData, mockAdapter, modelSource] = await Promise.all([
+  readFile(mockDataPath, 'utf8'),
+  readFile(mockAdapterPath, 'utf8'),
+  readFile(modelPath, 'utf8'),
+])
+
+function objectFromMarker(source, marker) {
+  const markerIndex = source.indexOf(marker)
+  assert.notEqual(markerIndex, -1, `未找到 Mock 数据标记：${marker}`)
+  const openBrace = source.lastIndexOf('{', markerIndex)
+  assert.notEqual(openBrace, -1, `Mock 数据缺少对象起点：${marker}`)
+
+  let depth = 0
+  for (let index = openBrace; index < source.length; index += 1) {
+    if (source[index] === '{') depth += 1
+    if (source[index] === '}') depth -= 1
+    if (depth === 0) return source.slice(openBrace, index + 1)
+  }
+
+  assert.fail(`Mock 数据缺少对象终点：${marker}`)
+}
+
+const taskNames = [
+  'finance-sft-001',
+  'legal-sft-002',
+  'medical-cpt-001',
+  'service-dpo-001',
+  'finance-sft-002',
+  'general-sft-001',
+]
+const commonTrainingFields = [
+  'output_model_name',
+  'batch_size',
+  'learning_rate',
+  'n_epochs',
+  'save_steps',
+  'lr_scheduler_type',
+  'max_length',
+  'warmup_ratio',
+  'weight_decay',
+]
+
+for (const taskName of taskNames) {
+  const task = objectFromMarker(mockData, `name: '${taskName}'`)
+  for (const field of commonTrainingFields) {
+    assert.match(task, new RegExp(`\\b${field}\\s*:`), `${taskName} 缺少训练参数：${field}`)
+  }
+
+  if (/train_method:\s*'lora'/.test(task)) {
+    for (const field of ['lora_rank', 'lora_alpha', 'lora_dropout']) {
+      assert.match(task, new RegExp(`\\b${field}\\s*:`), `${taskName} 缺少 LoRA 参数：${field}`)
+    }
+  }
+}
+
+const medicalTask = objectFromMarker(mockData, "name: 'medical-cpt-001'")
+assert.match(medicalTask, /\bprocess_id\s*:/, '运行中的医疗训练任务缺少进程 ID')
+assert.match(mockData, /medical-cpt-001_pid28741\.log/, '医疗训练任务缺少 PID 对应的日志文件')
+assert.match(mockData, /export const mockTrainingLogContents/, '训练日志没有按文件提供独立 Mock 内容')
+assert.match(mockData, /Num examples\s*=\s*9,800/, '医疗训练日志缺少样本规模信息')
+assert.match(mockData, /Total optimization steps\s*=\s*921/, '医疗训练日志缺少真实训练步数信息')
+assert.match(mockData, /\\'epoch\\':\s*1\.92/, '医疗训练日志的 Epoch 未与 64% 进度对齐')
+assert.match(mockData, /\\'loss\\':\s*1\.146/, '医疗训练日志缺少当前 Loss 指标')
+assert.match(mockAdapter, /const file = String\(params\.file/, '训练日志接口没有读取请求中的日志文件名')
+assert.match(mockAdapter, /mockTrainingLogContents\[file\]/, '训练日志接口没有按请求文件返回对应内容')
+assert.match(modelSource, /epoch:\s*number\[\]/, '训练指标模型没有保留逐步 Epoch')
+
+console.log('训练日志 Mock 数据回归检查通过')