99 lines
2.7 KiB
HTML
99 lines
2.7 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Document</title>
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<style>
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* {
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margin: 0;
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padding: 0;
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list-style: none;
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text-decoration: none;
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}
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.list {
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column-count: 5;
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column-gap: 10px;
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}
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.list li {
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margin-bottom: 10px;
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}
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.list li img {
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width: 100%;
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}
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</style>
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</head>
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<body>
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<input class="search" type="text" value="牛仔裤" placeholder="输入关键词" />
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<button class="submit">搜索</button>
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<ul class="list">
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</ul>
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</body>
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<script src="https://cdn.bootcdn.net/ajax/libs/jquery/3.7.1/jquery.min.js"></script>
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<script src="https://cdn.bootcdn.net/ajax/libs/axios/1.5.0/axios.js"></script>
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<script>
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let pcursorNum = '1703970033000', feedsList = [], filterList = [], intervalId = 0;
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axios.defaults.baseURL = 'http://127.0.0.1:8000/api/v1';
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axios.interceptors.response.use(response => response.data, error => Promise.reject(error));
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// 点击 搜索按钮 使用【视频预览图地址】进行 视频&文字的多模态搜索，
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// 会在后端进行 ai批量任务计算，接口返回 task_id
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$(".submit").click(async () => {
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let { task_id } = await axios.post('/ai/text_search_video', {
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keyWord: $(".search").val(),
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imgList: feedsList.map(v => v.photo.coverUrl)
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})
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checkTaskStatus(task_id)
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})
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// 使用 task_id 轮询，查询 任务计算 结果，如果为 true
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// 结束 轮询，根据后端返回的 搜索结果 index 下标集合从原始数据中，
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// 取出数据，存储 filterList 并渲染页面
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async function checkTaskStatus(task_id) {
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intervalId = setInterval(async () => {
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let { status, index } = await axios.get('/ai/task_status', {
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params: { task_id }
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});
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if (status) {
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clearInterval(intervalId)
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renderItem(index.map(v => feedsList[v]))
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}
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}, 3000)
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}
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async function getIndex() {
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let { feeds, pcursor } = await axios.get('/ks/like', {
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params: { pcursor: pcursorNum }
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})
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pcursorNum = pcursor
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feedsList = feeds
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renderItem(feedsList)
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}
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function renderItem(data) {
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$(".list").empty()
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data.forEach((v, i) => {
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$(".list").append(`
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<li>
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<img src="${v.photo.coverUrl}" alt="">
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</li>
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`)
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});
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}
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getIndex()
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</script>
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</html> |