feat(deepdata): 引入修改密码、文件预览组件与清洗算子增强，deepflow 改名为 deep-flow

本次同步 09-12 至 09-28 的代码变更，主要内容：

新增功能
- 修改密码：后端新增 ChangePasswordRequest DTO 与UserController/UserService
  对应接口，前端新增 ChangePasswordDialog 并在 Header 接入入口
- 文件预览组件重构：file-preview 目录拆分出 VideoPreview（支持 blobUrl 直传）、
  ImagePreview、AudioPreview，index.tsx 统一调度各类型预览器
- 新增 my_ops 算子模块：markitdown_parser、mineru_pdf_parser、text_quality_evaluator
- 新增 tools/minio-file-server MinIO 文件服务

功能增强
- 数据清洗：cleaning_task_service/scheduler/routes 重构，
  data_juicer_executor 与 wrapper 增强，OperatorTable/LogsTable/TaskDetail 同步调整
- 数据标注：annotation sync.py、project.py 接口与schema 更新
- 数据采集、算子市场、首页与菜单路由相关页面调整
- DataJuicer 算子接入（useOperatorOperations、dj_ops_schema）

结构调整
- deepflow/ 更名为 deep-flow/（419 个文件重命名）
- 新增 helm 部署编排、GitHub Actions 之外的自建镜像构建脚本

未纳入本次提交
- scripts-backup/、runtime/python-executor-backup/、components_backup/（备份目录）
- *.backup*、__pycache__ 产物
- zh_core_web_sm-3.8.0-py3-none-any.whl（46MB 构建产物）
- DataX/（内嵌独立仓库，远程亦未收录其源码）

test/markitdown_xlsx.py

@@ -0,0 +1,85 @@
+from markitdown import MarkItDown
+from openpyxl import load_workbook
+from io import BytesIO
+from PIL import Image
+import base64
+from zipfile import ZipFile
+
+def extract_xlsx_all_images_base64(xlsx_path: str, max_width=1200):
+    img_list = []
+    wb = load_workbook(xlsx_path)
+    # 1.先读取单元格内嵌图片
+    for sheet_name in wb.sheetnames:
+        ws = wb[sheet_name]
+        for img in ws._images:
+            img_bytes = img.ref
+            pil_img = Image.open(BytesIO(img_bytes))
+            if pil_img.width > max_width:
+                ratio = max_width / pil_img.width
+                new_size = (max_width, int(pil_img.height * ratio))
+                pil_img = pil_img.resize(new_size, Image.Resampling.LANCZOS)
+            buf = BytesIO()
+            pil_img.save(buf, format="PNG", optimize=True)
+            b64_str = base64.b64encode(buf.getvalue()).decode("utf-8")
+            uri = f"data:image/png;base64,{b64_str}"
+            img_list.append({"sheet": sheet_name, "data_uri": uri})
+    wb.close()
+
+    # 2.解析xlsx压缩包内drawing.xml，提取浮动形状图片
+    with ZipFile(xlsx_path, "r") as zf:
+        file_list = zf.namelist()
+        # 遍历所有drawing，匹配media图片
+        drawing_files = [f for f in file_list if f.startswith("xl/drawings/drawing") and f.endswith(".xml")]
+        for drawing_path in drawing_files:
+            # 解析drawing.xml获取图片rId
+            import xml.etree.ElementTree as ET
+            ns_a = {"a": "http://schemas.openxmlformats.org/drawingml/2006/main"}
+            ns_xdr = {"xdr": "http://schemas.openxmlformats.org/drawingml/2006/spreadsheetDrawing"}
+            xml_data = zf.read(drawing_path)
+            root = ET.fromstring(xml_data)
+            for blip in root.findall(".//a:blip", ns_a):
+                r_id = blip.get("{http://schemas.openxmlformats.org/officeDocument/2006/relationships}embed")
+                if not r_id:
+                    continue
+                # 读取drawing的关系文件
+                rel_path = drawing_path.replace(".xml", ".rels")
+                if rel_path not in file_list:
+                    continue
+                rel_xml = zf.read(rel_path)
+                rel_root = ET.fromstring(rel_xml)
+                ns_rel = {"r": "http://schemas.openxmlformats.org/package/2006/relationships"}
+                for rel in rel_root.findall(".//r:Relationship", ns_rel):
+                    if rel.get("Id") == r_id:
+                        target = rel.get("Target")
+                        media_path = f"xl/drawings/{target}"
+                        if media_path in file_list:
+                            media_bytes = zf.read(media_path)
+                            pil_img = Image.open(BytesIO(media_bytes))
+                            if pil_img.width > max_width:
+                                ratio = max_width / pil_img.width
+                                new_size = (max_width, int(pil_img.height * ratio))
+                                pil_img = pil_img.resize(new_size, Image.Resampling.LANCZOS)
+                            buf = BytesIO()
+                            pil_img.save(buf, format="PNG", optimize=True)
+                            b64_str = base64.b64encode(buf.getvalue()).decode("utf-8")
+                            uri = f"data:image/png;base64,{b64_str}"
+                            # 缺陷：无法精确归属到sheet名称，统一标记为浮动图片
+                            img_list.append({"sheet": "FloatingShape", "data_uri": uri})
+    return img_list
+
+
+if __name__ == "__main__":
+    xlsx_file = "test_xlsx.xlsx"
+    out_md = "xlsx_out.md"
+    md = MarkItDown()
+    res = md.convert(source=xlsx_file)
+    md_text = res.text_content
+    images = extract_xlsx_all_images_base64(xlsx_file)
+    print(f"一共提取图片：{len(images)}")
+    if len(images) > 0:
+        md_text += "\n\n## 提取的内嵌图片\n"
+        for item in images:
+            md_text += f"\n【Sheet：{item['sheet']}】\n![]({item['data_uri']})\n"
+    with open(out_md, "w", encoding="utf-8") as f:
+        f.write(md_text)
+    print(f"✅转换完成，输出文件：{out_md}")