feat(workflow): 增强工作流节点解析功能

添加工作流节点解析方法，支持工具和知识库ID的匹配与验证
改进知识库和工具解析逻辑，优先匹配ID并处理共享资源

api/app/services/app_dsl_service.py

@@ -14,12 +14,14 @@ from app.models.app_model import App, AppType
 from app.models.appshare_model import AppShare
 from app.models.app_release_model import AppRelease
 from app.models.knowledge_model import Knowledge
+from app.models.knowledgeshare_model import KnowledgeShare
 from app.models.models_model import ModelConfig
 from app.models.tool_model import ToolConfig as ToolConfigModel
 from app.models.skill_model import Skill
 from app.models.workflow_model import WorkflowConfig
 from app.services.workflow_service import WorkflowService
 from app.core.workflow.adapters.memory_bear.memory_bear_adapter import MemoryBearAdapter
+from app.core.workflow.nodes.enums import NodeType
 from app.models.memory_config_model import MemoryConfig as MemoryConfigModel
 
 
@@ -359,7 +361,11 @@ class AppDslService:
                     self.db.add(MultiAgentConfig(id=uuid.uuid4(), app_id=app_id, is_active=True, created_at=now, **fields))
 
         elif app_type == AppType.WORKFLOW:
-            adapter = MemoryBearAdapter(dsl)
+            raw_wf = dsl.get("workflow") or {}
+            raw_nodes = raw_wf.get("nodes") or []
+            resolved_nodes = self._resolve_workflow_nodes(raw_nodes, tenant_id, workspace_id, warnings)
+            resolved_dsl = {**dsl, "workflow": {**raw_wf, "nodes": resolved_nodes}}
+            adapter = MemoryBearAdapter(resolved_dsl)
             if not adapter.validate_config():
                 raise BusinessException("工作流配置格式无效", BizCode.BAD_REQUEST)
             result = adapter.parse_workflow()
@@ -367,7 +373,6 @@ class AppDslService:
                 warnings.append(f"[节点错误] {e.node_name or e.node_id}: {e.detail}")
             for w in result.warnings:
                 warnings.append(f"[节点警告] {w.node_name or w.node_id}: {w.detail}")
-            wf = dsl.get("workflow") or {}
             wf_service = WorkflowService(self.db)
             if create:
                 wf_service.create_workflow_config(
@@ -375,9 +380,9 @@ class AppDslService:
                     nodes=[n.model_dump() for n in result.nodes],
                     edges=[e.model_dump() for e in result.edges],
                     variables=[v.model_dump() for v in result.variables],
-                    execution_config=wf.get("execution_config", {}),
-                    features=wf.get("features", {}),
-                    triggers=wf.get("triggers", []),
+                    execution_config=raw_wf.get("execution_config", {}),
+                    features=raw_wf.get("features", {}),
+                    triggers=raw_wf.get("triggers", []),
                     validate=False,
                 )
             else:
@@ -386,9 +391,9 @@ class AppDslService:
                     existing.nodes = [n.model_dump() for n in result.nodes]
                     existing.edges = [e.model_dump() for e in result.edges]
                     existing.variables = [v.model_dump() for v in result.variables]
-                    existing.execution_config = wf.get("execution_config", {})
-                    existing.features = wf.get("features", {})
-                    existing.triggers = wf.get("triggers", [])
+                    existing.execution_config = raw_wf.get("execution_config", {})
+                    existing.features = raw_wf.get("features", {})
+                    existing.triggers = raw_wf.get("triggers", [])
                     existing.updated_at = now
                 else:
                     wf_service.create_workflow_config(
@@ -396,9 +401,9 @@ class AppDslService:
                         nodes=[n.model_dump() for n in result.nodes],
                         edges=[e.model_dump() for e in result.edges],
                         variables=[v.model_dump() for v in result.variables],
-                        execution_config=wf.get("execution_config", {}),
-                        features=wf.get("features", {}),
-                        triggers=wf.get("triggers", []),
+                        execution_config=raw_wf.get("execution_config", {}),
+                        features=raw_wf.get("features", {}),
+                        triggers=raw_wf.get("triggers", []),
                         validate=False,
                     )
 
@@ -446,27 +451,63 @@ class AppDslService:
     def _resolve_kb(self, ref: Optional[dict], workspace_id: uuid.UUID, warnings: list) -> Optional[str]:
         if not ref:
             return None
-        kb = self.db.query(Knowledge).filter(
-            Knowledge.workspace_id == workspace_id,
-            Knowledge.name == ref.get("name")
-        ).first()
-        if not kb:
-            warnings.append(f"知识库 '{ref.get('name')}' 未匹配，已置空，请导入后手动配置")
-        return str(kb.id) if kb else None
+        kb_id = ref.get("id")
+        if kb_id:
+            try:
+                kb_uuid = uuid.UUID(str(kb_id))
+                kb_share = self.db.query(KnowledgeShare).filter(
+                    KnowledgeShare.target_workspace_id == workspace_id,
+                    KnowledgeShare.source_kb_id == kb_uuid
+                ).first()
+                if kb_share:
+                    kb = self.db.query(Knowledge).filter(
+                        Knowledge.id == kb_share.target_kb_id
+                    ).first()
+                    if kb and kb.status == 1:
+                        return str(kb_share.target_kb_id)
+                kb = self.db.query(Knowledge).filter(
+                    Knowledge.workspace_id == workspace_id,
+                    Knowledge.id == kb_uuid,
+                    Knowledge.status == 1
+                ).first()
+                if kb:
+                    return str(kb.id)
+            except (ValueError, AttributeError):
+                pass
+        warnings.append(f"知识库 '{kb_id}' 未匹配，已置空，请导入后手动配置")
+        return None
 
     def _resolve_tool(self, ref: Optional[dict], tenant_id: uuid.UUID, warnings: list) -> Optional[str]:
         if not ref:
             return None
-        q = self.db.query(ToolConfigModel).filter(
-            ToolConfigModel.tenant_id == tenant_id,
-            ToolConfigModel.name == ref.get("name")
-        )
-        if ref.get("tool_type"):
-            q = q.filter(ToolConfigModel.tool_type == ref["tool_type"])
-        t = q.first()
-        if not t:
-            warnings.append(f"工具 '{ref.get('name')}' 未匹配，已置空，请导入后手动配置")
-        return str(t.id) if t else None
+        tool_id = ref.get("id")
+        tool_name = ref.get("name")
+        if tool_id:
+            try:
+                tool_uuid = uuid.UUID(str(tool_id))
+                t = self.db.query(ToolConfigModel).filter(
+                    ToolConfigModel.id == tool_uuid,
+                    ToolConfigModel.tenant_id == tenant_id,
+                    ToolConfigModel.is_active.is_(True)
+                ).first()
+                if t:
+                    return str(t.id)
+            except (ValueError, AttributeError):
+                pass
+        if tool_name:
+            q = self.db.query(ToolConfigModel).filter(
+                ToolConfigModel.tenant_id == tenant_id,
+                ToolConfigModel.name == tool_name
+            )
+            if ref.get("tool_type"):
+                q = q.filter(ToolConfigModel.tool_type == ref["tool_type"])
+            t = q.first()
+            if t:
+                return str(t.id)
+            warnings.append(f"工具 '{tool_name}' 未匹配，已置空，请导入后手动配置")
+        else:
+            warnings.append(f"工具 '{tool_id}' 未匹配，已置空，请导入后手动配置")
+        return None
 
     def _resolve_release(self, ref: Optional[dict], warnings: list) -> Optional[uuid.UUID]:
         if not ref:
@@ -508,6 +549,61 @@ class AppDslService:
             result.append(entry)
         return result
 
+    def _resolve_workflow_nodes(self, nodes: list, tenant_id: uuid.UUID, workspace_id: uuid.UUID, warnings: list) -> list:
+        """解析工作流节点中的工具ID和知识库ID，匹配不到则清空配置"""
+        resolved_nodes = []
+        for node in nodes:
+            node_type = node.get("type")
+            config = dict(node.get("config") or {})
+            node_label = node.get("name") or node.get("id")
+            if node_type == NodeType.TOOL.value:
+                tool_id = config.get("tool_id")
+                if not tool_id:
+                    # tool_id 本身就是空，直接置空不重复 warning
+                    config["tool_id"] = None
+                    config["tool_parameters"] = {}
+                else:
+                    tool_ref = {}
+                    if isinstance(tool_id, str) and len(tool_id) >= 36:
+                        try:
+                            uuid.UUID(tool_id)
+                            tool_ref["id"] = tool_id
+                        except ValueError:
+                            tool_ref["name"] = tool_id
+                    else:
+                        tool_ref["name"] = tool_id
+                    resolved_tool_id = self._resolve_tool(tool_ref, tenant_id, [])
+                    if resolved_tool_id:
+                        config["tool_id"] = resolved_tool_id
+                    else:
+                        warnings.append(f"[{node_label}] 工具 '{tool_id}' 未匹配，已置空，请导入后手动配置")
+                        config["tool_id"] = None
+                        config["tool_parameters"] = {}
+            elif node_type == NodeType.KNOWLEDGE_RETRIEVAL.value:
+                knowledge_bases = config.get("knowledge_bases") or []
+                resolved_kbs = []
+                for kb in knowledge_bases:
+                    kb_id = kb.get("kb_id")
+                    if not kb_id:
+                        continue
+                    kb_ref = {}
+                    if isinstance(kb_id, str) and len(kb_id) >= 36:
+                        try:
+                            uuid.UUID(kb_id)
+                            kb_ref["id"] = kb_id
+                        except ValueError:
+                            kb_ref["name"] = kb_id
+                    else:
+                        kb_ref["name"] = kb_id
+                    resolved_id = self._resolve_kb(kb_ref, workspace_id, [])
+                    if resolved_id:
+                        resolved_kbs.append({**kb, "kb_id": resolved_id})
+                    else:
+                        warnings.append(f"[{node_label}] 知识库 '{kb_id}' 未匹配，已移除，请导入后手动配置")
+                config["knowledge_bases"] = resolved_kbs
+            resolved_nodes.append({**node, "config": config})
+        return resolved_nodes
+
     def _resolve_knowledge_retrieval(self, kr: Optional[dict], workspace_id: uuid.UUID, warnings: list) -> Optional[dict]:
         if not kr:
             return kr