Develop labeling module (#25)

* refactor: remove db table management from LS adapter (mv to scripts later); change adapter to use the same MySQL DB as other modules.

* refactor: Rename LS Adapter module to datamate-python

runtime/datamate-python/app/models/cleaning/__init__.py

@@ -0,0 +1,13 @@
+# app/models/cleaning/__init__.py
+
+from .clean_template import CleanTemplate
+from .clean_task import CleanTask
+from .operator_instance import OperatorInstance
+from .clean_result import CleanResult
+
+__all__ = [
+    "CleanTemplate",
+    "CleanTask",
+    "OperatorInstance",
+    "CleanResult"
+]

runtime/datamate-python/app/models/cleaning/clean_result.py

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+from sqlalchemy import Column, String, BigInteger, Text
+from app.db.database import Base
+
+class CleanResult(Base):
+    """清洗结果模型"""
+    
+    __tablename__ = "t_clean_result"
+    
+    instance_id = Column(String(64), primary_key=True, comment="实例ID")
+    src_file_id = Column(String(64), nullable=True, comment="源文件ID")
+    dest_file_id = Column(String(64), primary_key=True, comment="目标文件ID")
+    src_name = Column(String(256), nullable=True, comment="源文件名")
+    dest_name = Column(String(256), nullable=True, comment="目标文件名")
+    src_type = Column(String(256), nullable=True, comment="源文件类型")
+    dest_type = Column(String(256), nullable=True, comment="目标文件类型")
+    src_size = Column(BigInteger, nullable=True, comment="源文件大小")
+    dest_size = Column(BigInteger, nullable=True, comment="目标文件大小")
+    status = Column(String(256), nullable=True, comment="处理状态")
+    result = Column(Text, nullable=True, comment="处理结果")
+    
+    def __repr__(self):
+        return f"<CleanResult(instance_id={self.instance_id}, dest_file_id={self.dest_file_id}, status={self.status})>"

runtime/datamate-python/app/models/cleaning/clean_task.py

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+from sqlalchemy import Column, String, BigInteger, Integer, TIMESTAMP
+from sqlalchemy.sql import func
+from app.db.database import Base
+
+class CleanTask(Base):
+    """清洗任务模型"""
+    
+    __tablename__ = "t_clean_task"
+    
+    id = Column(String(64), primary_key=True, comment="任务ID")
+    name = Column(String(64), nullable=True, comment="任务名称")
+    description = Column(String(256), nullable=True, comment="任务描述")
+    status = Column(String(256), nullable=True, comment="任务状态")
+    src_dataset_id = Column(String(64), nullable=True, comment="源数据集ID")
+    src_dataset_name = Column(String(64), nullable=True, comment="源数据集名称")
+    dest_dataset_id = Column(String(64), nullable=True, comment="目标数据集ID")
+    dest_dataset_name = Column(String(64), nullable=True, comment="目标数据集名称")
+    before_size = Column(BigInteger, nullable=True, comment="清洗前大小")
+    after_size = Column(BigInteger, nullable=True, comment="清洗后大小")
+    file_count = Column(Integer, nullable=True, comment="文件数量")
+    created_at = Column(TIMESTAMP, server_default=func.current_timestamp(), comment="创建时间")
+    started_at = Column(TIMESTAMP, nullable=True, comment="开始时间")
+    finished_at = Column(TIMESTAMP, nullable=True, comment="完成时间")
+    created_by = Column(String(256), nullable=True, comment="创建者")
+    
+    def __repr__(self):
+        return f"<CleanTask(id={self.id}, name={self.name}, status={self.status})>"

runtime/datamate-python/app/models/cleaning/clean_template.py

@@ -0,0 +1,18 @@
+from sqlalchemy import Column, String, Text, TIMESTAMP
+from sqlalchemy.sql import func
+from app.db.database import Base
+
+class CleanTemplate(Base):
+    """清洗模板模型"""
+    
+    __tablename__ = "t_clean_template"
+    
+    id = Column(String(64), primary_key=True, unique=True, comment="模板ID")
+    name = Column(String(64), nullable=True, comment="模板名称")
+    description = Column(String(256), nullable=True, comment="模板描述")
+    created_at = Column(TIMESTAMP, server_default=func.current_timestamp(), comment="创建时间")
+    updated_at = Column(TIMESTAMP, server_default=func.current_timestamp(), onupdate=func.current_timestamp(), comment="更新时间")
+    created_by = Column(String(256), nullable=True, comment="创建者")
+    
+    def __repr__(self):
+        return f"<CleanTemplate(id={self.id}, name={self.name})>"

runtime/datamate-python/app/models/cleaning/operator_instance.py

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+from sqlalchemy import Column, String, Integer, Text
+from app.db.database import Base
+
+class OperatorInstance(Base):
+    """算子实例模型"""
+    
+    __tablename__ = "t_operator_instance"
+    
+    instance_id = Column(String(256), primary_key=True, comment="实例ID")
+    operator_id = Column(String(256), primary_key=True, comment="算子ID")
+    op_index = Column(Integer, primary_key=True, comment="算子索引")
+    settings_override = Column(Text, nullable=True, comment="配置覆盖")
+    
+    def __repr__(self):
+        return f"<OperatorInstance(instance_id={self.instance_id}, operator_id={self.operator_id}, index={self.op_index})>"