232 lines
9.5 KiB
JavaScript
232 lines
9.5 KiB
JavaScript
export const getOcrReact = (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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let data = parseOcrResult(res.data.choices[0].message.content)
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console.log(data)
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// 新增：统一字段名
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if (Array.isArray(data)) {
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data = data.map(item => {
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const newItem = { ...item };
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if ('项目' in newItem) {
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newItem.name = newItem['项目'];
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delete newItem['项目'];
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} else if ('项目名称' in newItem) {
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newItem.name = newItem['项目名称'];
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delete newItem['项目名称'];
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} else if ('检验项目' in newItem) {
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newItem.name = newItem['检验项目'];
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delete newItem['检验项目'];
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} else if ('检查项目' in newItem) {
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newItem.name = newItem['检查项目'];
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delete newItem['检查项目'];
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} else if ('检查项目名称' in newItem) {
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newItem.name = newItem['检查项目名称'];
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delete newItem['检查项目名称'];
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} else if ('项目全称' in newItem) {
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newItem.name = newItem['项目全称'];
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delete newItem['项目全称'];
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} else if ('中文名称' in newItem) {
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newItem.name = newItem['中文名称'];
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delete newItem['中文名称'];
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} else if ('分析项目' in newItem) {
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newItem.name = newItem['分析项目'];
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delete newItem['分析项目'];
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} else if ('实验名称' in newItem) {
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newItem.name = newItem['实验名称'];
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delete newItem['实验名称'];
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} else if ('N项目名称' in newItem) {
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newItem.name = newItem['N项目名称'];
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delete newItem['N项目名称'];
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}else if ('序号检查项目' in newItem) {
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newItem.name = newItem['序号检查项目'];
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delete newItem['序号检查项目'];
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}
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if ('结果' in newItem) {
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newItem.value = newItem['结果'];
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delete newItem['结果'];
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} else if ('值' in newItem) {
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newItem.value = newItem['值'];
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delete newItem['值'];
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} else if ('检验结果' in newItem) {
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newItem.value = newItem['检验结果'];
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delete newItem['检验结果'];
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} else if ('检查结果' in newItem) {
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newItem.value = newItem['检查结果'];
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delete newItem['检查结果'];
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} else if ('结果值' in newItem) {
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newItem.value = newItem['结果值'];
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delete newItem['结果值'];
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} else if ('结果浓度' in newItem) {
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newItem.value = newItem['结果浓度'];
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delete newItem['结果浓度'];
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} else if ('测定结果' in newItem) {
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newItem.value = newItem['测定结果'];
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delete newItem['测定结果'];
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} else if ('检验值' in newItem) {
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newItem.value = newItem['检验值'];
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delete newItem['检验值'];
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}
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// 去掉name中的括号及其内容
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if (typeof newItem.name === 'string') {
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newItem.name = newItem.name.replace(/（.*?）|\(.*?\)/g, '').trim();
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}
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console.log(newItem)
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return newItem;
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});
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}
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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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// 检查第二行是否为分隔符（全是 ---）
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const isSeparator = line => line.split('|').every(cell => cell.trim() === '' || /^-+$/.test(cell.trim()));
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let header = [];
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let dataLines = [];
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if (lines.length > 1 && isSeparator(lines[1])) {
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// 没有表头，第一行是数据
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const colCount = lines[0].split('|').length;
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header = Array.from({ length: colCount }, (_, i) => `col${i + 1}`);
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dataLines = [lines[0], ...lines.slice(2)];
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} else {
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// 有表头
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header = lines[0].split('|').map(h => h.trim());
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dataLines = lines.slice(2);
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}
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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());
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const obj = {};
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header.forEach((key, idx) => {
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if (key) 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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}
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/**
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* 解析类似 ```json ... ``` 格式的字符串，提取检测项目数组
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* @param {string} str
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* @returns {Array<Object>}
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*/
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function parseJsonBlock(str) {
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// 去除包裹的代码块标记
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const jsonStr = str.replace(/^[\s`]*```json[\s`]*|```$/g, '').replace(/↵/g, '\n').trim();
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// 用正则提取所有 "key": "value"
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const regex = /"([^"]+)":\s*"([^"]*)"/g;
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const pairs = [];
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let match;
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while ((match = regex.exec(jsonStr)) !== null) {
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pairs.push([match[1], match[2]]);
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}
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// 按“序号”分组
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const items = [];
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let current = {};
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const itemFields = ['序号', '项目名称', '缩写', '结果', '单位', '参考区间', '测定方法'];
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pairs.forEach(([key, value]) => {
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if (key === '序号' && Object.keys(current).length > 0) {
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items.push({ ...current });
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current = {};
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}
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if (itemFields.includes(key)) {
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current[key] = value;
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}
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});
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if (Object.keys(current).length > 0) {
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items.push({ ...current });
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}
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return items;
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}
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/**
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* 自动判断OCR返回内容格式并调用对应解析方法
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* @param {string} content
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* @returns {Array<Object>}
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*/
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function parseOcrResult(content) {
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// 判断是否为JSON代码块
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if (/^```json/.test(content.trim())) {
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return parseJsonBlock(content);
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}
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// 判断是否为Markdown表格（以|开头，且有---分隔行）
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if (/\|.*\|/.test(content) && /\|[\s\-:|]+\|/.test(content)) {
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return parseMarkdownTable(content);
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}
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// 判断是否为实验室结果格式（数字+中文+数字+单位+参考区间）
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if (/^\d+[\u4e00-\u9fa5A-Za-z]+[\d.]+[a-zA-Zμ\/]+[\d.\-]+/m.test(content.replace(/↵/g, '\n'))) {
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return parseLabResults(content);
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}
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// 其它情况返回空数组或原始内容
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return [];
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}
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/**
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* 解析实验室结果字符串为结构化对象数组
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* @param {string} str - 原始字符串
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* @returns {Array} 结构化结果数组
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*/
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function parseLabResults(str) {
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if (!str) return [];
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// 替换特殊换行符为标准换行
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str = str.replace(/↵/g, '\n');
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const lines = str.split(/\n+/).filter(Boolean);
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const result = [];
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const regex = /^(\d+)([\u4e00-\u9fa5A-Za-z]+)([\d.]+)([a-zA-Zμ\/]+)?([\d.\-]+)?/;
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lines.forEach(line => {
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// 尝试用正则提取
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const match = line.match(/^(\d+)([\u4e00-\u9fa5A-Za-z]+)([\d.]+)([a-zA-Zμ\/]+)?([\d.\-]+)?/);
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if (match) {
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result.push({
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index: Number(match[1]),
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name: match[2],
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value: Number(match[3]),
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unit: match[4] || '',
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reference: match[5] || ''
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});
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}
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});
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return result;
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} |