前端根据后端返回的文本流逐个展示文本内容
1、前端调用方法
async function fetchStream(url, data, onSuccess, close, error) { const response = await fetch(url, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(data) }); if (!response.ok) { onSuccess(`服务响应失败,请稍后重试`); close(); throw new Error(`HTTP error! status: ${response.status}`); } const reader = response.body.getReader(); const decoder = new TextDecoder(); let result = ''; while (true) { const { done, value } = await reader.read(); if (done) { break; } const decodedValue = decoder.decode(value, { stream: true }); result += decodedValue; onSuccess && onSuccess(decodedValue); // 每次接收到数据时,调用onSuccess } close(); return result; }
2、使用
const onSend = () => { if (!questionText.value.trim()) { message('不能发送空消息', { type: 'warning' }); return; } chatList.value.push({ index: chatIndex.value + 1, type: 'user', content: questionView.value }); chatList.value.push({ index: chatIndex.value + 1, type: 'assistant', content: '' }); const data = { question: questionView.value, modelId: props.modelId, sessionId: sessionId.value }; let streamContent = ''; const onStreamSuccess = (chunk) => { streamContent += chunk; chatList.value[chatList.value.length - 1].content = streamContent.replace(/\n+/g, ' ').replace(/ {2,}/g, ' '); scrollToBottom(); }; fetchStream( '/ai/aiAgent/stream', data, onStreamSuccess, () => { sendloading.value = false; }, () => { chatList.value[chatList.value.length - 1].content = ''; sendloading.value = false; } ); };
经过以上两步,即可实现文本流逐个显示在界面上。