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）

tools/test.py

@@ -0,0 +1,146 @@
+"""
+从 py-data-juicer 包提取算子参数，生成PostgreSQL算子初始化SQL（填充settings）
+依赖：pip install data-juicer
+"""
+import importlib
+import inspect
+import json
+from typing import Dict, Any, List
+from data_juicer.ops.base_op import BaseOP
+from data_juicer.ops import ALL_OPS
+
+# --------------------------
+# 前端表单schema映射规则（参考原sql脚本settings结构）
+# 原settings样例：
+# {"repeatPhraseRatio": {
+#     "name": "文档词重复率",
+#     "description": "xxx",
+#     "type": "slider",
+#     "defaultVal":0.5,
+#     "min":0,"max":1,"step":0.1
+# }}
+# 支持类型：input / inputNumber / slider / switch / select / range
+# --------------------------
+
+def pydantic_field_to_form_schema(field) -> Dict[str, Any]:
+    """
+    将data‑juicer算子pydantic参数Field转为前端表单配置
+    """
+    finfo = field.field_info
+    field_name = field.name
+    desc = finfo.description or ""
+    default = finfo.default if finfo.default is not None else None
+
+    schema = {
+        "name": field_name,
+        "description": desc,
+        "defaultVal": default,
+        "required": finfo.is_required() is False
+    }
+    # 推断控件类型
+    field_type = finfo.annotation
+
+    if hasattr(finfo, "ge") or hasattr(finfo, "le"):
+        schema["min"] = getattr(finfo, "ge", None)
+        schema["max"] = getattr(finfo, "le", None)
+        if hasattr(finfo, "multiple_of"):
+            schema["step"] = finfo.multiple_of
+        schema["type"] = "slider"
+    elif field_type is bool:
+        schema["type"] = "switch"
+        schema["checkedLabel"] = "开启"
+        schema["unCheckedLabel"] = "关闭"
+    elif getattr(finfo, "enum", None):
+        # 枚举 -> select下拉框
+        schema["type"] = "select"
+        schema["options"] = [{"label": e.value, "value": e.value} for e in finfo.enum]
+    elif str(field_type).startswith("int") or str(field_type).startswith("float"):
+        schema["type"] = "inputNumber"
+    elif "List" in str(field_type) or "Tuple" in str(field_type):
+        schema["type"] = "range"
+    else:
+        schema["type"] = "input"
+    return schema
+
+
+def extract_op_settings(op_cls: BaseOP) -> str | None:
+    """
+    从算子类提取所有配置参数，生成settings JSON字符串
+    """
+    if not hasattr(op_cls, "__pydantic_fields__"):
+        return None
+    pydantic_fields = op_cls.__pydantic_fields__
+    settings_dict = {}
+    for fname, field in pydantic_fields.items():
+        # skip 内部私有参数
+        if fname.startswith("_"):
+            continue
+        form_schema = pydantic_field_to_form_schema(field)
+        settings_dict[fname] = form_schema
+    if len(settings_dict) == 0:
+        return None
+    return json.dumps(settings_dict, ensure_ascii=False)
+
+
+def gen_operator_sql(op_cls) -> str:
+    """生成单条算子insert sql"""
+    op_id = op_cls._name  # data‑juicer算子唯一id，例如 document_deduplicator
+    op_full_name = op_cls.__name__
+    # 获取注释作为描述
+    doc = inspect.getdoc(op_cls) or ""
+    # inputs/outputs
+    inputs = ",".join(op_cls.ACCEPTED_MODALITIES)
+    outputs = ",".join(op_cls.OUTPUT_MODALITIES)
+    version = "1.4.4"
+    settings_json = extract_op_settings(op_cls)
+    file_name = ""
+    file_size = None
+    is_star = False
+    created_by = "system"
+    updated_by = "system"
+
+    def escape_sql_str(s):
+        if s is None:
+            return "NULL"
+        return "'" + str(s).replace("'", "''") + "'"
+
+    cols = [
+        "id", "name", "description", "version", "inputs", "outputs",
+        "runtime", "settings", "file_name", "file_size", "is_star", "created_by", "updated_by"
+    ]
+    vals = [
+        escape_sql_str(op_id),
+        escape_sql_str(op_full_name),
+        escape_sql_str(doc[:2000]),
+        escape_sql_str(version),
+        escape_sql_str(inputs),
+        escape_sql_str(outputs),
+        "NULL",
+        escape_sql_str(settings_json),
+        escape_sql_str(file_name),
+        "NULL" if file_size is None else str(file_size),
+        "false",
+        escape_sql_str(created_by),
+        escape_sql_str(updated_by),
+    ]
+    sql_line = f"INSERT INTO t_operator ({','.join(cols)}) VALUES ({','.join(vals)}) ON CONFLICT DO NOTHING;"
+    return sql_line
+
+
+def main():
+    output_sql_lines: List[str] = []
+    print(f"total op count: {len(ALL_OPS)}")
+    for op_cls in ALL_OPS.values():
+        sql = gen_operator_sql(op_cls)
+        output_sql_lines.append(sql)
+    # 输出完整脚本
+    final_sql = "\n".join(output_sql_lines)
+    with open("./data_juicer_ops_gen.sql", "w", encoding="utf‑8") as f:
+        f.write("-- auto generated data‑juicer operator init sql with settings\n")
+        f.write(final_sql)
+    print("Generated file: data_juicer_ops_gen.sql")
+    print(final_sql[:2000])
+
+
+if __name__ == "__main__":
+    main()