65 lines
2.3 KiB
JavaScript
65 lines
2.3 KiB
JavaScript
export const getOcr = (url) => {
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return new Promise((resolve, reject) => {
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wx.request({
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url: 'https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions',
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method: 'POST',
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dataType: 'json', // 微信官方文档中介绍会对数据进行一次JSON.parse
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header: {
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'Authorization': 'Bearer sk-52414b887aee47e4883caf16cbf801bd',
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'Content-Type': 'application/json'
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},
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data: {
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"model": "qwen-vl-ocr-latest",
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"messages": [{
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"role": "user",
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"content": [{
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"type": "image_url",
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"image_url": {
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"url": url
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},
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"min_pixels": 3136,
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"max_pixels": 6422528
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},
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{
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"type": "text",
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"text": "要求准确无误的提取上述关键信息、不要遗漏和捏造虚假信息，模糊或者强光遮挡的单个文字可以用英文问号?代替。返回数据格式以MD方式输出"
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}
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]
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}]
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},
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success(res) {
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const data = parseMarkdownTable(res.data.choices[0].message.content)
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resolve(data);
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},
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fail(err) {
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console.log(err)
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// 断网、服务器挂了都会fail回调，直接reject即可
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reject(err);
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},
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});
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})
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}
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function parseMarkdownTable(md) {
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// 拆分行，去掉空行
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const lines = md.split('\n').filter(line => line.trim().length > 0);
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// 找到表头和数据行
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const headerLine = lines[0];
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const header = headerLine.split('|').map(h => h.trim()).filter(Boolean);
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// 数据行从第三行开始（第二行为分隔符）
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const dataLines = lines.slice(2);
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// 解析每一行
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const result = dataLines.map(line => {
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const cells = line.split('|').map(cell => cell.trim()).filter(Boolean);
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const obj = {};
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header.forEach((key, idx) => {
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obj[key] = cells[idx];
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});
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return obj;
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});
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return result;
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} |