- eval_runner 等待异步模型加载完成(InferenceSession.wait_until_loaded), 修复 "model load failed: unknown" - 评测算力节点选择:优先页面选择的节点 / 模型所在节点(_select_eval_node), 多节点时不再派发到不可达节点导致连接超时 - 前端评测 GPU 选择改为节点感知(节点:GPU 复合值),透传 compute_node_id, 并检查 startEval 结果展示真实错误 - 大模型评价(judge)使用模型记录的真实 API 模型名(api_model), 避免用平台内部名调用 LLM API 导致 HTTP 400 - 新增后端节点选择与 compute wait_until_loaded 单元测试 Co-Authored-By: Claude <noreply@anthropic.com>
500 lines
13 KiB
Vue
500 lines
13 KiB
Vue
<script setup lang="ts">
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import { onMounted, ref, watch } from 'vue'
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import { useRouter } from 'vue-router'
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import { ElMessage } from 'element-plus'
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import PageCard from '@/components/PageCard.vue'
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import EvalTaskSetupStep, { type EvalTaskSetupDraft } from './create/EvalTaskSetupStep.vue'
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import EvalRuleSetupStep, { type EvalRuleSetupDraft } from './create/EvalRuleSetupStep.vue'
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import BasicMetricSetupStep, { type BasicMetricSetupDraft } from './create/BasicMetricSetupStep.vue'
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import StartEvalStep from './create/StartEvalStep.vue'
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import { createDimension, startEval } from '@/api/modules/eval'
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import { getTrainedModels, getModelList } from '@/api/modules/model'
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import { getDatasetList } from '@/api/modules/dataset'
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import { getComputeGpus } from '@/api/modules/compute'
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import type { DatasetItem, Dimension, GpuInfo, ModelItem, TrainedModel } from '@/types'
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type StepExposed = { validate: () => Promise<boolean> }
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const router = useRouter()
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const loading = ref(false)
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const submitting = ref(false)
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const currentStep = ref(0)
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const taskStepRef = ref<StepExposed>()
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const ruleStepRef = ref<StepExposed>()
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const basicMetricStepRef = ref<StepExposed>()
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const WIZARD_STEPS = [
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{ title: '任务配置', description: '选择模型、算力与评测数据' },
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{ title: '大模型评测指标', description: '配置评测模型、方式与标准' },
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{ title: '基础评测指标', description: '选择 BLEU、ROUGE 等参考指标' },
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{ title: '开始评测', description: '确认配置并启动评测任务' },
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] as const
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const trainedModels = ref<TrainedModel[]>([])
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const evalDatasets = ref<DatasetItem[]>([])
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const evalModels = ref<ModelItem[]>([])
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const gpus = ref<GpuInfo[]>([])
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const createdDimensionId = ref<string | number>('')
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const taskForm = ref<EvalTaskSetupDraft>({
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eval_task_name: '',
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model_id: '',
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gpu_id: '',
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data_source: 'dataset',
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dataset_id: '',
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leaderboard: false,
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})
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const ruleForm = ref<EvalRuleSetupDraft>({
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type: '',
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description: '',
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eval_model: '',
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eval_method: '',
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eval_prompt: '',
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is_active: true,
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is_default: false,
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bleu_n: 1,
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output_precision: 3,
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score_min: 0,
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score_max: 5,
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pass_threshold: 3,
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})
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const basicMetricForm = ref<BasicMetricSetupDraft>({
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bleu_enabled: false,
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bleu_n: 4,
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rouge_enabled: false,
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rouge_methods: ['rouge_1', 'rouge_2'],
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cosine_enabled: false,
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output_precision: 3,
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})
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watch(
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ruleForm,
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() => {
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createdDimensionId.value = ''
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},
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{ deep: true },
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)
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async function loadData() {
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loading.value = true
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const results = await Promise.allSettled([
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getTrainedModels(),
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getDatasetList(),
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getModelList(),
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getComputeGpus(),
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])
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if (results[0].status === 'fulfilled') trainedModels.value = results[0].value?.models || []
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if (results[1].status === 'fulfilled') {
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evalDatasets.value = (results[1].value || []).filter((dataset) => dataset.type === 'eval')
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}
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if (results[2].status === 'fulfilled') {
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evalModels.value = (results[2].value || []).filter(
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(model) => model.purpose === 'evaluation' || (model.model_source === 'api' && !!model.api_url),
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)
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}
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if (results[3].status === 'fulfilled') {
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gpus.value = ((results[3].value || []) as unknown as GpuInfo[]).filter((g) => g.status === 'idle')
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}
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const failedCount = results.filter((result) => result.status === 'rejected').length
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if (failedCount > 0) {
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ElMessage.error(`部分基础数据加载失败(${failedCount} 项),请刷新页面后重试`)
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}
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loading.value = false
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}
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function buildDimensionPayload() {
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const draft = ruleForm.value
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const payload: Partial<Dimension> = {
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name: `Custom_Dim_${Date.now()}`,
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type: draft.type,
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description: draft.description,
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eval_model: draft.eval_model,
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eval_method: draft.eval_method,
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eval_prompt: draft.eval_prompt,
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is_active: draft.is_active,
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is_default: draft.is_default,
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create_time: new Date().toISOString(),
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}
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if (draft.type === 'metric') {
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payload.score_min = draft.score_min
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payload.score_max = draft.score_max
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payload.pass_threshold = draft.pass_threshold
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}
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return payload
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}
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async function resolveDimensionId() {
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if (createdDimensionId.value !== '') return createdDimensionId.value
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const created = await createDimension(buildDimensionPayload())
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if (created?.id === undefined || created.id === null || created.id === '') {
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throw new Error('评测维度已提交,但未返回维度 ID,无法启动评测任务')
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}
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createdDimensionId.value = created.id
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return created.id
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}
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async function handleSubmit() {
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if (loading.value || submitting.value) return
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submitting.value = true
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try {
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const dimensionId = await resolveDimensionId()
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// GPU 选择为「节点:GPU序号」复合值,解析出节点与 GPU 序号,
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// 多算力节点时必须把节点信息传给后端,否则会派发到错误的算力节点
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const [gpuNodeId, gpuIndex] = String(taskForm.value.gpu_id).split(':')
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const evalResult: any = await startEval({
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eval_task_name: taskForm.value.eval_task_name,
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eval_type: 'custom',
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model_id: taskForm.value.model_id,
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gpu_id: Number(gpuIndex) || 0,
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compute_node_id: gpuNodeId || '',
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dataset_id: taskForm.value.data_source === 'dataset' ? taskForm.value.dataset_id : '',
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dimension_id: dimensionId,
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data_source: taskForm.value.data_source,
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leaderboard: taskForm.value.leaderboard,
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basic_metrics: {
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bleu: {
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enabled: basicMetricForm.value.bleu_enabled,
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ngram: basicMetricForm.value.bleu_n,
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},
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rouge: {
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enabled: basicMetricForm.value.rouge_enabled,
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methods: basicMetricForm.value.rouge_methods,
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},
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cosine: {
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enabled: basicMetricForm.value.cosine_enabled,
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},
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output_precision: basicMetricForm.value.output_precision,
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},
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})
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if (evalResult?.status === 'failed' || evalResult?.error) {
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ElMessage.error(`评测启动失败:${evalResult?.error || '请检查算力节点与模型路径'}`)
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return
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}
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ElMessage.success('评测任务已创建并启动')
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router.push('/model-eval')
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} catch (error) {
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const message = error instanceof Error ? error.message : '创建评测任务失败,请稍后重试'
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ElMessage.error(message)
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} finally {
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submitting.value = false
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}
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}
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async function handleNext() {
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if (loading.value || submitting.value) return
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if (currentStep.value === 0) {
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const taskValid = await taskStepRef.value?.validate()
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if (!taskValid) {
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ElMessage.warning('请检查并完善任务配置')
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return
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}
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}
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if (currentStep.value === 1) {
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const ruleValid = await ruleStepRef.value?.validate()
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if (!ruleValid) {
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ElMessage.warning('请检查并完善大模型评测指标')
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return
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}
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}
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if (currentStep.value === 2) {
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const basicMetricValid = await basicMetricStepRef.value?.validate()
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if (!basicMetricValid) {
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ElMessage.warning('请检查并完善基础评测指标')
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return
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}
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}
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currentStep.value = Math.min(currentStep.value + 1, WIZARD_STEPS.length - 1)
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}
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function handleBack() {
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if (submitting.value) return
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currentStep.value = Math.max(currentStep.value - 1, 0)
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}
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function handleCancel() {
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router.back()
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}
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onMounted(loadData)
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</script>
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<template>
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<PageCard
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title="新建评测任务"
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subtitle="依次配置任务、大模型评测指标与基础评测指标,确认后开始评测"
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>
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<div class="create-wizard-layout">
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<main v-loading="loading" class="wizard-main">
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<div class="wizard-steps-container" aria-label="评测任务创建步骤">
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<div class="custom-wizard-steps">
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<template v-for="(step, index) in WIZARD_STEPS" :key="step.title">
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<div
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v-if="index !== 0"
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class="step-connector"
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:class="{ 'is-active': currentStep >= index }"
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></div>
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<div
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class="step-item"
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:class="{
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'is-active': currentStep === index,
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'is-completed': currentStep > index,
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}"
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:aria-current="currentStep === index ? 'step' : undefined"
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:aria-label="`${index + 1}. ${step.title}:${step.description}`"
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>
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<div class="step-node">
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<div class="step-icon" aria-hidden="true">
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<i v-if="currentStep > index" class="fa fa-check" />
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<span v-else>{{ index + 1 }}</span>
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</div>
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<div class="step-text">
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<div class="step-title">{{ step.title }}</div>
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<div class="step-description">{{ step.description }}</div>
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</div>
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</div>
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</div>
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</template>
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</div>
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</div>
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<div class="wizard-content">
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<EvalTaskSetupStep
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v-if="currentStep === 0"
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ref="taskStepRef"
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v-model="taskForm"
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:trained-models="trainedModels"
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:eval-datasets="evalDatasets"
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:gpus="gpus"
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:loading="loading"
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:disabled="submitting"
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/>
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<EvalRuleSetupStep
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v-else-if="currentStep === 1"
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ref="ruleStepRef"
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v-model="ruleForm"
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:eval-models="evalModels"
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:disabled="submitting"
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/>
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<BasicMetricSetupStep
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v-else-if="currentStep === 2"
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ref="basicMetricStepRef"
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v-model="basicMetricForm"
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:disabled="submitting"
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/>
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<StartEvalStep
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v-else
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:task="taskForm"
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:llm-metric="ruleForm"
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:basic-metrics="basicMetricForm"
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:trained-models="trainedModels"
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:eval-datasets="evalDatasets"
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:eval-models="evalModels"
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:gpus="gpus"
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/>
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</div>
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</main>
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<footer class="wizard-footer">
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<el-button
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v-if="currentStep > 0"
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class="footer-back"
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:disabled="submitting"
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@click="handleBack"
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>
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<i class="fa fa-arrow-left footer-button-icon" />返回:{{ WIZARD_STEPS[currentStep - 1].title }}
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</el-button>
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<el-button v-else class="footer-back" :disabled="submitting" @click="handleCancel">
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取消
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</el-button>
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<el-button
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v-if="currentStep < WIZARD_STEPS.length - 1"
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type="primary"
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:disabled="loading || submitting"
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@click="handleNext"
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>
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下一步:{{ WIZARD_STEPS[currentStep + 1].title }}<i
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class="fa fa-arrow-right footer-button-icon is-right"
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/>
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</el-button>
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<el-button
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v-else
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type="primary"
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:loading="submitting"
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:disabled="loading || submitting"
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@click="handleSubmit"
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>
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开始评测
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</el-button>
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</footer>
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</div>
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</PageCard>
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</template>
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<style scoped>
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.create-wizard-layout {
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display: flex;
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flex-direction: column;
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min-height: 620px;
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margin: -20px;
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background: #fff;
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}
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.wizard-main {
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flex: 1;
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padding: 32px;
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}
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.wizard-steps-container {
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margin-bottom: 32px;
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padding-bottom: 24px;
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border-bottom: 1px dashed #e2e8f0;
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}
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.custom-wizard-steps {
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display: flex;
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align-items: center;
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justify-content: space-between;
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max-width: 1120px;
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margin: 0 auto;
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padding: 0 20px;
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}
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.step-item {
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display: flex;
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flex: none;
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align-items: center;
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}
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.step-connector {
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flex: 1;
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height: 2px;
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margin: 0 12px;
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background: #e2e8f0;
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transition: background-color 0.2s ease;
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}
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.step-connector.is-active {
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background: #5146e5;
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}
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.step-node {
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display: flex;
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align-items: center;
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gap: 12px;
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}
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.step-icon {
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display: flex;
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width: 30px;
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height: 30px;
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flex: 0 0 30px;
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align-items: center;
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justify-content: center;
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box-sizing: border-box;
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border: 2px solid #cbd5e1;
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border-radius: 50%;
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background: #fff;
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color: #64748b;
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font-size: 13px;
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font-weight: 650;
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transition: all 0.2s ease;
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}
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.step-title {
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color: #64748b;
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font-size: 15px;
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font-weight: 600;
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white-space: nowrap;
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}
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.step-description {
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margin-top: 3px;
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color: #94a3b8;
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font-size: 12px;
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white-space: nowrap;
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}
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.step-item.is-active .step-icon {
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border-color: #5146e5;
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background: #eef2ff;
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color: #5146e5;
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}
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.step-item.is-active .step-title,
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.step-item.is-completed .step-title {
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color: #1e293b;
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||
}
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||
|
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.step-item.is-completed .step-icon {
|
||
border-color: #5146e5;
|
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background: #5146e5;
|
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color: #fff;
|
||
}
|
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|
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.wizard-content {
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max-width: 920px;
|
||
min-height: 400px;
|
||
margin: 0 auto;
|
||
}
|
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|
||
.wizard-footer {
|
||
display: flex;
|
||
min-height: 64px;
|
||
flex-shrink: 0;
|
||
align-items: center;
|
||
justify-content: flex-end;
|
||
gap: 12px;
|
||
padding: 0 32px;
|
||
border-top: 1px solid #e2e8f0;
|
||
background: #fff;
|
||
box-shadow: 0 -4px 6px -1px rgb(15 23 42 / 2%);
|
||
}
|
||
|
||
.footer-back {
|
||
margin-right: auto;
|
||
}
|
||
|
||
.footer-button-icon {
|
||
margin-right: 6px;
|
||
}
|
||
|
||
.footer-button-icon.is-right {
|
||
margin-right: 0;
|
||
margin-left: 6px;
|
||
}
|
||
|
||
@media (max-width: 1100px) {
|
||
.step-description {
|
||
display: none;
|
||
}
|
||
}
|
||
|
||
@media (max-width: 760px) {
|
||
.wizard-main {
|
||
padding: 24px 20px;
|
||
}
|
||
|
||
.custom-wizard-steps {
|
||
padding: 0;
|
||
}
|
||
|
||
.step-connector {
|
||
margin: 0 8px;
|
||
}
|
||
|
||
.step-text {
|
||
display: none;
|
||
}
|
||
|
||
.wizard-footer {
|
||
padding: 0 20px;
|
||
}
|
||
}
|
||
</style>
|