版本更新：
1、已实现多图识别并入库 2、增加图片上传时删除图片功能 3、改用模型glm-4.6v预计5月份到期 4、已对环境txt做更改
This commit is contained in:
@@ -328,7 +328,7 @@ function renderTable(data) {
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row.innerHTML = `
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<td style="max-width:140px; word-break:break-all; font-size: 12px;">${item._id || item.id || ''}</td>
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<td>
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${item.image_url ? `<img src="${item.image_url}" onerror="this.src=''; this.alt='图片加载失败'" class="clickable-image" data-image="${item.image_url}" />` : '无图片'}
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<div style="display:flex;gap:6px;flex-wrap:wrap;">${buildImageCell(item)}</div>
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</td>
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<td>
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<pre style="white-space:pre-wrap; word-wrap:break-word; max-height: 100px; overflow-y: auto; font-size: 12px; margin: 0;">${escapeHtml(displayData)}</pre>
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@@ -343,6 +343,12 @@ function renderTable(data) {
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});
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}
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function buildImageCell(item) {
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const urls = Array.isArray(item.image_urls) ? item.image_urls : (item.image_url ? [item.image_url] : []);
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if (!urls.length) return '无图片';
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return urls.map(u => `<img src="${u}" onerror="this.src=''; this.alt='图片加载失败'" class="clickable-image" data-image="${u}" />`).join('');
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}
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// 转义HTML以防止XSS
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function escapeHtml(unsafe) {
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return unsafe
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@@ -42,6 +42,10 @@
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.preview-box {flex: 1; text-align: center; }
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.preview-box h3 {margin-top: 0;color: #334155; }
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.preview-box img { max-width: 100%;max-height: 300px;border: 1px solid #e2e8f0;border-radius: 8px;object-fit: contain;}
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.preview-list {display: grid;grid-template-columns: repeat(auto-fit, minmax(140px, 1fr));gap: 12px;}
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.preview-item {position: relative;}
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.preview-item img {width: 100%;max-height: 220px;border: 1px solid #e2e8f0;border-radius: 8px;object-fit: contain;}
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.preview-remove {position: absolute;top: 6px;right: 6px;border: none;border-radius: 999px;background: rgba(15,23,42,0.8);color: #fff;width: 24px;height: 24px;cursor: pointer;display: flex;align-items: center;justify-content: center;font-size: 14px;line-height: 1;}
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.result-box {flex: 1;}
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.result-box h3 { margin-top: 0; color: #334155;}
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.form-controls { display: flex;gap: 8px;margin-bottom: 12px;flex-wrap: wrap;}
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@@ -89,7 +93,8 @@
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<p>点击下方按钮选择图片，或拖拽图片到此区域</p>
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<form id="uploadForm" enctype="multipart/form-data">
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{% csrf_token %}
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<input type="file" id="fileInput" name="file" accept="image/*" required />
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<input type="file" id="fileInput" name="file" accept="image/*" multiple />
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<span id="fileHint" class="muted"></span>
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<br>
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<button type="submit" class="btn btn-primary">上传并识别</button>
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</form>
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@@ -103,7 +108,7 @@
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<div class="preview-container">
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<div class="preview-box">
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<h3>图片预览</h3>
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<img id="preview" alt="预览" />
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<div id="previewList" class="preview-list"></div>
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</div>
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<div class="result-box">
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@@ -134,7 +139,8 @@ function getCookie(name) {
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const uploadForm = document.getElementById('uploadForm');
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const fileInput = document.getElementById('fileInput');
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const preview = document.getElementById('preview');
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const fileHint = document.getElementById('fileHint');
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const previewList = document.getElementById('previewList');
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const resultBox = document.getElementById('resultBox');
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const uploadMsg = document.getElementById('uploadMsg');
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const confirmBtn = document.getElementById('confirmBtn');
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@@ -148,7 +154,8 @@ const progressWrap = document.getElementById('progressWrap');
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const progressBar = document.getElementById('progressBar');
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const progressText = document.getElementById('progressText');
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let currentImageRel = '';
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let currentImageRel = [];
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let selectedFiles = [];
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function setProgress(p, text){
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const v = Math.max(0, Math.min(100, Math.round(p||0)));
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@@ -221,22 +228,64 @@ function handleDrop(e) {
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const dt = e.dataTransfer;
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const files = dt.files;
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if (files.length) {
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fileInput.files = files;
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const event = new Event('change', { bubbles: true });
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fileInput.dispatchEvent(event);
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addFiles(files);
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}
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}
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// 文件选择后预览
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fileInput.addEventListener('change', function(e) {
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const file = e.target.files[0];
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if (file && file.type.startsWith('image/')) {
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const reader = new FileReader();
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reader.onload = function(e) {
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preview.src = e.target.result;
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function setPreviewList(urls) {
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previewList.innerHTML = '';
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(urls || []).forEach((url, index) => {
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if (!url) return;
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const item = document.createElement('div');
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item.className = 'preview-item';
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item.dataset.index = String(index);
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const img = document.createElement('img');
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img.src = url;
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img.alt = '预览';
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const btn = document.createElement('button');
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btn.type = 'button';
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btn.className = 'preview-remove';
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btn.textContent = '×';
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btn.onclick = () => {
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const idx = Number(item.dataset.index);
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if (!Number.isNaN(idx)) {
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selectedFiles.splice(idx, 1);
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const urls = selectedFiles.map(f => URL.createObjectURL(f));
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setPreviewList(urls);
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updateFileHint();
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setTimeout(() => urls.forEach(u => URL.revokeObjectURL(u)), 0);
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}
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};
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reader.readAsDataURL(file);
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}
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item.appendChild(img);
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item.appendChild(btn);
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previewList.appendChild(item);
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});
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}
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function updateFileHint() {
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const count = selectedFiles.length;
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fileHint.textContent = count ? `已选择 ${count} 张` : '未选择文件';
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}
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function addFiles(files) {
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const incoming = Array.from(files || []).filter(f => f && f.type.startsWith('image/'));
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const existingKeys = new Set(selectedFiles.map(f => `${f.name}|${f.size}|${f.lastModified}`));
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incoming.forEach(f => {
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const key = `${f.name}|${f.size}|${f.lastModified}`;
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if (!existingKeys.has(key)) {
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existingKeys.add(key);
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selectedFiles.push(f);
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}
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});
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const urls = selectedFiles.map(f => URL.createObjectURL(f));
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setPreviewList(urls);
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updateFileHint();
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setTimeout(() => urls.forEach(u => URL.revokeObjectURL(u)), 0);
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}
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fileInput.addEventListener('change', function(e) {
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addFiles(e.target.files || []);
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fileInput.value = '';
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});
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function createRow(k = '', v = '') {
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@@ -329,10 +378,10 @@ uploadForm.addEventListener('submit', async (e) => {
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confirmMsg.textContent = '';
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confirmBtn.disabled = true;
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resultBox.value = '';
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currentImageRel = '';
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currentImageRel = [];
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const file = fileInput.files[0];
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if (!file) {
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const files = Array.from(selectedFiles || []).filter(f => f && f.type.startsWith('image/'));
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if (!files.length) {
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uploadMsg.textContent = '请选择图片文件';
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uploadMsg.className = 'status-message error';
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uploadMsg.style.display = 'block';
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@@ -341,17 +390,21 @@ uploadForm.addEventListener('submit', async (e) => {
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showProgress();
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setProgress(5, '转换为JPG');
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let jpegFile = file;
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try {
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jpegFile = await convertToJpeg(file);
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setProgress(50, '转换为JPG');
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preview.src = URL.createObjectURL(jpegFile);
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} catch (_) {
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jpegFile = file;
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setProgress(50, '转换为JPG');
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}
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const formData = new FormData();
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formData.append('file', jpegFile);
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const converted = [];
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for (let i = 0; i < files.length; i++) {
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const file = files[i];
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let jpegFile = file;
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try {
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jpegFile = await convertToJpeg(file);
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} catch (_) {
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jpegFile = file;
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}
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converted.push(jpegFile);
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const pct = 5 + Math.round(((i + 1) / files.length) * 45);
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setProgress(pct, '转换为JPG');
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}
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converted.forEach(f => formData.append('file', f));
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try {
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let prog = 50;
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@@ -375,9 +428,10 @@ uploadForm.addEventListener('submit', async (e) => {
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uploadMsg.textContent = data.message || '识别成功';
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uploadMsg.className = 'status-message success';
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uploadMsg.style.display = 'block';
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preview.src = data.image_url;
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const urls = data.image_urls || (data.image_url ? [data.image_url] : []);
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setPreviewList(urls);
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renderFormFromObject(data.data || {});
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currentImageRel = data.image;
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currentImageRel = data.images || (data.image ? [data.image] : []);
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confirmBtn.disabled = false;
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setTimeout(hideProgress, 800);
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} catch (e) {
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@@ -415,15 +469,20 @@ confirmBtn.addEventListener('click', async () => {
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clearBtn.addEventListener('click', () => {
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fileInput.value = '';
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preview.src = '';
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previewList.innerHTML = '';
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resultBox.value = '';
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kvForm.innerHTML = '';
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kvForm.appendChild(createRow()); // 保留一个空行
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uploadMsg.textContent = '';
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confirmMsg.textContent = '';
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confirmBtn.disabled = true;
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currentImageRel = [];
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selectedFiles = [];
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updateFileHint();
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});
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updateFileHint();
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// 退出登录处理
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document.getElementById('logoutBtn').addEventListener('click', async () => {
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const msg = document.getElementById('logoutMsg');
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219
elastic/views.py
219
elastic/views.py
@@ -42,6 +42,29 @@ def _image_ref_to_url(request, image_ref: str) -> str:
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return ''
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def _parse_image_refs(image_ref):
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if not image_ref:
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return []
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if isinstance(image_ref, (list, tuple)):
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return [str(x) for x in image_ref if str(x).strip()]
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if isinstance(image_ref, str):
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s = image_ref.strip()
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if not s:
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return []
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parsed = None
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if s[:1] in ('[', '"'):
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try:
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parsed = json.loads(s)
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except Exception:
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parsed = None
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if isinstance(parsed, list):
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return [str(x) for x in parsed if str(x).strip()]
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if isinstance(parsed, str):
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s = parsed.strip()
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return [s] if s else []
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return []
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def _attach_image_urls(request, items):
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out = []
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for it in list(items or []):
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@@ -49,7 +72,11 @@ def _attach_image_urls(request, items):
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d = dict(it or {})
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except Exception:
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continue
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d['image_url'] = _image_ref_to_url(request, d.get('image', ''))
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refs = _parse_image_refs(d.get('image', ''))
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urls = [_image_ref_to_url(request, r) for r in refs if str(r).strip()]
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urls = [u for u in urls if u]
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d['image_urls'] = urls
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d['image_url'] = urls[0] if urls else _image_ref_to_url(request, d.get('image', ''))
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out.append(d)
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return out
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@@ -180,7 +207,11 @@ def update_data(request, doc_id):
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if "writer_id" in payload:
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updated["writer_id"] = payload["writer_id"]
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if "image" in payload:
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updated["image"] = payload["image"]
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img_val = payload["image"]
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if isinstance(img_val, list):
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updated["image"] = json_to_string(img_val)
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else:
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updated["image"] = img_val
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if "data" in payload:
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v = payload["data"]
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if isinstance(v, dict):
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@@ -359,7 +390,7 @@ def string_to_json(s):
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# 移植自 a.py 的核心：调用大模型进行 OCR/信息抽取
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def ocr_and_extract_info(image_path: str):
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from openai import OpenAI
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# from openai import OpenAI
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def encode_image(path: str) -> str:
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with open(path, "rb") as f:
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return base64.b64encode(f.read()).decode("utf-8")
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@@ -372,12 +403,42 @@ def ocr_and_extract_info(image_path: str):
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# raise RuntimeError("缺少 AISTUDIO_API_KEY，请在环境变量或 settings 中配置")
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api_key = getattr(settings, "AISTUDIO_API_KEY", "")
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base_url = getattr(settings, "OPENAI_BASE_URL", "")
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if not api_key or not base_url:
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raise RuntimeError("缺少模型服务配置，请设置 AISTUDIO_API_KEY 与 OPENAI_BASE_URL")
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client = OpenAI(api_key=api_key, base_url=base_url)
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# api_key = getattr(settings, "AISTUDIO_API_KEY", "")
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# base_url = getattr(settings, "OPENAI_BASE_URL", "")
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# if not api_key or not base_url:
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# raise RuntimeError("缺少模型服务配置，请设置 AISTUDIO_API_KEY 与 OPENAI_BASE_URL")
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# client = OpenAI(api_key=api_key, base_url=base_url)
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# types = get_type_list()
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# chat_completion = client.chat.completions.create(
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# messages=[
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# {"role": "system", "content": "你是一个能理解图片和文本的助手，请根据用户提供的信息进行回答。"},
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# {
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# "role": "user",
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# "content": [
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# {"type": "text", "text": f"请识别这张图片中的信息，将你认为重要的数据转换为不包含嵌套的json，不要显示其它信息以便于解析，直接输出json结果即可。使用“数据类型”字段表示这个东西的大致类型，除此之外你可以自行决定使用哪些json字段。“数据类型”的内容有严格规定，请查看{json.dumps(types, ensure_ascii=False)}中是否包含你所需要的类型，确定不包含后你才可以填入你觉得合适的大致分类。"},
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# {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}},
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# ],
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# },
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# ],
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# model="glm-5",
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# )
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# response_text = chat_completion.choices[0].message.content
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from zai import ZhipuAiClient
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import httpx
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# api_key = (
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# getattr(settings, "ZHIPU_API_KEY", "")
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# or getattr(settings, "ZAI_API_KEY", "")
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# or getattr(settings, "AISTUDIO_API_KEY", "")
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# )
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# if not api_key:
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# raise RuntimeError("缺少模型服务配置，请设置 ZHIPU_API_KEY")
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# base_url = (
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# getattr(settings, "ZHIPU_BASE_URL", "")
|
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# or getattr(settings, "ZAI_BASE_URL", "")
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# or "https://open.bigmodel.cn/api/paas/v4/"
|
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# )
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client = ZhipuAiClient(api_key="fb83a3f91e8c4e45af811236548765a2.cX4kUhigHm7VNowf")
|
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types = get_type_list()
|
||||
chat_completion = client.chat.completions.create(
|
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messages=[
|
||||
@@ -390,9 +451,8 @@ def ocr_and_extract_info(image_path: str):
|
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],
|
||||
},
|
||||
],
|
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model=getattr(settings, "OPENAI_MODEL_NAME", "ernie-4.5-turbo-vl-32k"),
|
||||
model="glm-4.6v",
|
||||
)
|
||||
|
||||
response_text = chat_completion.choices[0].message.content
|
||||
|
||||
def parse_response(text: str):
|
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@@ -448,35 +508,66 @@ def upload(request):
|
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else:
|
||||
return JsonResponse({"status": "error", "message": "未登录"}, status=401)
|
||||
|
||||
file = request.FILES.get("file")
|
||||
if not file:
|
||||
files = request.FILES.getlist("file")
|
||||
if not files:
|
||||
one = request.FILES.get("file")
|
||||
if one:
|
||||
files = [one]
|
||||
if not files:
|
||||
return JsonResponse({"status": "error", "message": "未选择文件"}, status=400)
|
||||
|
||||
images_dir = os.path.join(settings.MEDIA_ROOT, "images")
|
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os.makedirs(images_dir, exist_ok=True)
|
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filename = f"{uuid.uuid4()}_{file.name}"
|
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abs_path = os.path.join(images_dir, filename)
|
||||
|
||||
with open(abs_path, "wb") as dst:
|
||||
for chunk in file.chunks():
|
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dst.write(chunk)
|
||||
|
||||
try:
|
||||
data = ocr_and_extract_info(abs_path)
|
||||
if not data:
|
||||
return JsonResponse({"status": "error", "message": "无法识别图片内容"}, status=400)
|
||||
|
||||
rel_paths = []
|
||||
image_urls = []
|
||||
data_list = []
|
||||
for file in files:
|
||||
filename = f"{uuid.uuid4()}_{file.name}"
|
||||
abs_path = os.path.join(images_dir, filename)
|
||||
with open(abs_path, "wb") as dst:
|
||||
for chunk in file.chunks():
|
||||
dst.write(chunk)
|
||||
try:
|
||||
data = ocr_and_extract_info(abs_path)
|
||||
except Exception as e:
|
||||
return JsonResponse({"status": "error", "message": str(e)}, status=500)
|
||||
if data:
|
||||
data_list.append(data)
|
||||
rel_path = f"images/{filename}"
|
||||
image_url = request.build_absolute_uri(settings.MEDIA_URL + rel_path)
|
||||
return JsonResponse({
|
||||
"status": "success",
|
||||
"message": "识别成功，请确认数据后点击录入",
|
||||
"data": data,
|
||||
"image": rel_path,
|
||||
"image_url": image_url,
|
||||
})
|
||||
except Exception as e:
|
||||
return JsonResponse({"status": "error", "message": str(e)}, status=500)
|
||||
rel_paths.append(rel_path)
|
||||
image_urls.append(request.build_absolute_uri(settings.MEDIA_URL + rel_path))
|
||||
|
||||
if not data_list:
|
||||
return JsonResponse({"status": "error", "message": "无法识别图片内容"}, status=400)
|
||||
|
||||
merged = {}
|
||||
for item in data_list:
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
for k, v in item.items():
|
||||
key = str(k).strip()
|
||||
if not key:
|
||||
continue
|
||||
if key not in merged or merged.get(key) in (None, ''):
|
||||
merged[key] = v
|
||||
continue
|
||||
if merged.get(key) == v:
|
||||
continue
|
||||
base = key
|
||||
idx = 2
|
||||
while f"{base}_{idx}" in merged:
|
||||
idx += 1
|
||||
merged[f"{base}_{idx}"] = v
|
||||
|
||||
return JsonResponse({
|
||||
"status": "success",
|
||||
"message": "识别成功，请确认数据后点击录入",
|
||||
"data": merged,
|
||||
"images": rel_paths,
|
||||
"image_urls": image_urls,
|
||||
"image": rel_paths[0] if rel_paths else "",
|
||||
"image_url": image_urls[0] if image_urls else "",
|
||||
})
|
||||
|
||||
|
||||
# 确认并入库
|
||||
@@ -508,38 +599,44 @@ def confirm(request):
|
||||
ensure_type_in_list(edited.get("数据类型"))
|
||||
image_ref_to_store = ""
|
||||
temp_files_to_delete = []
|
||||
if image_rel:
|
||||
image_rels = _parse_image_refs(image_rel)
|
||||
if image_rels:
|
||||
images_dir = os.path.join(settings.MEDIA_ROOT, "images")
|
||||
os.makedirs(images_dir, exist_ok=True)
|
||||
src_abs = os.path.join(settings.MEDIA_ROOT, image_rel)
|
||||
if not os.path.isfile(src_abs):
|
||||
return JsonResponse({"status": "error", "message": "图片文件不存在"}, status=400)
|
||||
|
||||
webp_name = f"{uuid.uuid4().hex}.webp"
|
||||
webp_abs = os.path.join(images_dir, webp_name)
|
||||
try:
|
||||
with Image.open(src_abs) as im:
|
||||
if im.mode in ("RGBA", "LA", "P"):
|
||||
im = im.convert("RGBA")
|
||||
else:
|
||||
im = im.convert("RGB")
|
||||
im.save(webp_abs, format="WEBP", quality=80)
|
||||
except Exception:
|
||||
image_refs = []
|
||||
for rel in image_rels:
|
||||
src_abs = os.path.join(settings.MEDIA_ROOT, rel)
|
||||
if not os.path.isfile(src_abs):
|
||||
return JsonResponse({"status": "error", "message": "图片文件不存在"}, status=400)
|
||||
webp_name = f"{uuid.uuid4().hex}.webp"
|
||||
webp_abs = os.path.join(images_dir, webp_name)
|
||||
try:
|
||||
if os.path.isfile(webp_abs):
|
||||
os.remove(webp_abs)
|
||||
with Image.open(src_abs) as im:
|
||||
if im.mode in ("RGBA", "LA", "P"):
|
||||
im = im.convert("RGBA")
|
||||
else:
|
||||
im = im.convert("RGB")
|
||||
im.save(webp_abs, format="WEBP", quality=80)
|
||||
except Exception:
|
||||
pass
|
||||
return JsonResponse({"status": "error", "message": "图片转换WEBP失败"}, status=500)
|
||||
try:
|
||||
if os.path.isfile(webp_abs):
|
||||
os.remove(webp_abs)
|
||||
except Exception:
|
||||
pass
|
||||
return JsonResponse({"status": "error", "message": "图片转换WEBP失败"}, status=500)
|
||||
|
||||
try:
|
||||
object_name = f"images/{webp_name}"
|
||||
from minio_storage.minio_connect import upload_file
|
||||
upload_file(webp_abs, object_name, content_type="image/webp")
|
||||
image_ref_to_store = f"minio:{object_name}"
|
||||
temp_files_to_delete.extend([src_abs, webp_abs])
|
||||
except Exception as e:
|
||||
return JsonResponse({"status": "error", "message": f"上传到MinIO失败: {e}"}, status=500)
|
||||
try:
|
||||
object_name = f"images/{webp_name}"
|
||||
from minio_storage.minio_connect import upload_file
|
||||
upload_file(webp_abs, object_name, content_type="image/webp")
|
||||
image_refs.append(f"minio:{object_name}")
|
||||
temp_files_to_delete.extend([src_abs, webp_abs])
|
||||
except Exception as e:
|
||||
return JsonResponse({"status": "error", "message": f"上传到MinIO失败: {e}"}, status=500)
|
||||
if len(image_refs) == 1:
|
||||
image_ref_to_store = image_refs[0]
|
||||
elif len(image_refs) > 1:
|
||||
image_ref_to_store = json_to_string(image_refs)
|
||||
|
||||
to_store = {
|
||||
"writer_id": str(request.session.get("user_id")),
|
||||
|
||||
@@ -6,6 +6,7 @@ elasticsearch-dsl==7.4.1
|
||||
requests==2.32.3
|
||||
openai==1.52.2
|
||||
httpx==0.27.2
|
||||
zai-sdk==0.3.0
|
||||
Pillow==10.4.0
|
||||
minio>=7.2.0,<8
|
||||
gunicorn==21.2.0
|
||||
|
||||
Reference in New Issue
Block a user