feat: 全量功能模块开发与集成测试修复

- 新增后端模块：Alert、APIAsset、Compliance、Lineage、Masking、Risk、SchemaChange、Unstructured、Watermark
- 新增前端模块页面与API接口
- 新增Alembic迁移脚本(002-014)覆盖全量业务表
- 新增测试数据生成脚本与集成测试脚本
- 修复metadata模型JSON类型导入缺失导致启动失败的问题
- 修复前端Alert/APIAsset页面request模块路径错误
- 更新docker-compose与开发计划文档

backend/app/tasks/classification_tasks.py

@@ -1,3 +1,4 @@
+import json
 from app.tasks.worker import celery_app
 
 
@@ -5,12 +6,10 @@ from app.tasks.worker import celery_app
 def auto_classify_task(self, project_id: int, source_ids: list = None):
     """
     Async task to run automatic classification on metadata.
-    Phase 1 placeholder.
     """
     from app.core.database import SessionLocal
-    from app.models.project import ClassificationProject, ClassificationResult, ResultStatus
-    from app.models.classification import RecognitionRule
-    from app.models.metadata import DataColumn
+    from app.models.project import ClassificationProject
+    from app.services.classification_engine import run_auto_classification
 
     db = SessionLocal()
     try:
@@ -18,15 +17,46 @@ def auto_classify_task(self, project_id: int, source_ids: list = None):
         if not project:
             return {"status": "failed", "reason": "project not found"}
 
-        # Update project status
+        def progress_callback(scanned, matched, total):
+            percent = int(scanned / total * 100) if total else 0
+            meta = {
+                "scanned": scanned,
+                "matched": matched,
+                "total": total,
+                "percent": percent,
+            }
+            self.update_state(state="PROGRESS", meta=meta)
+            # Persist lightweight progress to DB for UI polling
+            project.scan_progress = json.dumps(meta)
+            db.commit()
+
+        # Initialize
         project.status = "scanning"
+        project.scan_progress = json.dumps({"scanned": 0, "matched": 0, "total": 0, "percent": 0})
         db.commit()
 
-        rules = db.query(RecognitionRule).filter(RecognitionRule.is_active == True).all()
-        # TODO: implement rule matching logic in Phase 2
+        result = run_auto_classification(
+            db,
+            project_id,
+            source_ids=source_ids,
+            progress_callback=progress_callback,
+        )
 
-        project.status = "assigning"
+        if result.get("success"):
+            project.status = "assigning"
+        else:
+            project.status = "created"
+
+        project.celery_task_id = None
         db.commit()
-        return {"status": "completed", "project_id": project_id, "matched": 0}
+        return {"status": "completed", "project_id": project_id, "result": result}
+    except Exception as e:
+        db.rollback()
+        project = db.query(ClassificationProject).filter(ClassificationProject.id == project_id).first()
+        if project:
+            project.status = "created"
+            project.celery_task_id = None
+            db.commit()
+        return {"status": "failed", "reason": str(e)}
     finally:
         db.close()