53 lines
1.6 KiB
JavaScript
53 lines
1.6 KiB
JavaScript
/**
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* source page: https://www.datalearner.com/ai-models/pretrained-models
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* @since 2024.06.18
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*/
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var content_container = main_div.childNodes[1].childNodes[3]
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// console.log('content_container', content_container)
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var content_item_list = Array.from(content_container.childNodes)
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// console.log('content_item', content_item_list)
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content_item_list = content_item_list
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.filter(i => i instanceof HTMLElement) // .map(i => i.nodeName)
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.filter(i => i.nodeName.toLowerCase() === 'a')
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console.log('content_item', content_item_list)
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const result = []
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for (let content_item of content_item_list) {
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const val = content_item.querySelectorAll('h4')
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result.push({
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model_code: val[0]?.textContent?.trim(),
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model_parameter: val[1]?.textContent?.trim(),
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release_date: val[2]?.textContent?.trim(),
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license: val[3]?.textContent?.trim(),
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})
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}
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console.log('result', result)
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// 拼接SQL
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var segment = []
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// 处理兼容数据-去掉重复模型
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var a = []
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for (const i of result) {
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if (a.includes(i.model_code.toLowerCase())) {
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continue
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}
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a.push(i.model_code.toLowerCase())
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// 处理兼容数据 '2022-08-01' 等
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if (i.release_date.endsWith('-00')) {
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i.release_date = i.release_date.replace('-00', '-01')
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}
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segment.push(`('(待完善)/${i.model_code}', '${i.model_code}', '${i.model_parameter}亿', '${i.release_date}', '${i.license}')`)
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}
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var sql = '-- ' + new Date().toLocaleDateString() + '\n'
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+ 'INSERT INTO large_model_info (id, model_code, model_parameter, release_date, license) VALUES \n'
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+ segment.join(',\n')
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console.log('sql', sql)
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