feat: Add "type" field to PipelineRecommendedPlugin model; Add query param "type" to recommended-plugins api. (#29684)

api/controllers/console/datasets/rag_pipeline/rag_pipeline_workflow.py

@@ -1004,6 +1004,11 @@ class RagPipelineRecommendedPluginApi(Resource):
     @login_required
     @account_initialization_required
     def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('type', type=str, location='args', required=False, default='all')
+        args = parser.parse_args()
+        type = args["type"]
+
         rag_pipeline_service = RagPipelineService()
-        recommended_plugins = rag_pipeline_service.get_recommended_plugins()
+        recommended_plugins = rag_pipeline_service.get_recommended_plugins(type)
         return recommended_plugins

api/migrations/versions/2025_12_15_1614-6bb0832495f0_alter_table_pipeline_recommended_.py

@@ -0,0 +1,64 @@
+"""Alter table pipeline_recommended_plugins add column type
+
+Revision ID: 6bb0832495f0
+Revises: 7bb281b7a422
+Create Date: 2025-12-15 16:14:38.482072
+
+"""
+from alembic import op
+import models as models
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = '6bb0832495f0'
+down_revision = '7bb281b7a422'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('app_triggers', schema=None) as batch_op:
+        batch_op.alter_column('provider_name',
+               existing_type=sa.VARCHAR(length=255),
+               nullable=False,
+               existing_server_default=sa.text("''::character varying"))
+
+    with op.batch_alter_table('operation_logs', schema=None) as batch_op:
+        batch_op.alter_column('content',
+               existing_type=postgresql.JSON(astext_type=sa.Text()),
+               nullable=False)
+
+    with op.batch_alter_table('pipeline_recommended_plugins', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('type', sa.String(length=50), nullable=True))
+
+    with op.batch_alter_table('providers', schema=None) as batch_op:
+        batch_op.alter_column('quota_used',
+               existing_type=sa.BIGINT(),
+               nullable=False)
+
+    # ### end Alembic commands ###
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('providers', schema=None) as batch_op:
+        batch_op.alter_column('quota_used',
+               existing_type=sa.BIGINT(),
+               nullable=True)
+
+    with op.batch_alter_table('pipeline_recommended_plugins', schema=None) as batch_op:
+        batch_op.drop_column('type')
+
+    with op.batch_alter_table('operation_logs', schema=None) as batch_op:
+        batch_op.alter_column('content',
+               existing_type=postgresql.JSON(astext_type=sa.Text()),
+               nullable=True)
+
+    with op.batch_alter_table('app_triggers', schema=None) as batch_op:
+        batch_op.alter_column('provider_name',
+               existing_type=sa.VARCHAR(length=255),
+               nullable=True,
+               existing_server_default=sa.text("''::character varying"))
+
+    # ### end Alembic commands ###

api/models/dataset.py

@@ -1458,6 +1458,7 @@ class PipelineRecommendedPlugin(TypeBase):
     )
     plugin_id: Mapped[str] = mapped_column(LongText, nullable=False)
     provider_name: Mapped[str] = mapped_column(LongText, nullable=False)
+    type: Mapped[str] = mapped_column(sa.String(50), nullable=True)
     position: Mapped[int] = mapped_column(sa.Integer, nullable=False, default=0)
     active: Mapped[bool] = mapped_column(sa.Boolean, nullable=False, default=True)
     created_at: Mapped[datetime] = mapped_column(

api/models/workflow.py

@@ -907,19 +907,29 @@ class WorkflowNodeExecutionModel(Base):  # This model is expected to have `offlo
     @property
     def extras(self) -> dict[str, Any]:
         from core.tools.tool_manager import ToolManager
+        from core.trigger.trigger_manager import TriggerManager
 
         extras: dict[str, Any] = {}
-        if self.execution_metadata_dict:
+        execution_metadata = self.execution_metadata_dict
-            if self.node_type == NodeType.TOOL and "tool_info" in self.execution_metadata_dict:
+        if execution_metadata:
-                tool_info: dict[str, Any] = self.execution_metadata_dict["tool_info"]
+            if self.node_type == NodeType.TOOL and "tool_info" in execution_metadata:
+                tool_info: dict[str, Any] = execution_metadata["tool_info"]
                 extras["icon"] = ToolManager.get_tool_icon(
                     tenant_id=self.tenant_id,
                     provider_type=tool_info["provider_type"],
                     provider_id=tool_info["provider_id"],
                 )
-            elif self.node_type == NodeType.DATASOURCE and "datasource_info" in self.execution_metadata_dict:
+            elif self.node_type == NodeType.DATASOURCE and "datasource_info" in execution_metadata:
-                datasource_info = self.execution_metadata_dict["datasource_info"]
+                datasource_info = execution_metadata["datasource_info"]
                 extras["icon"] = datasource_info.get("icon")
+            elif self.node_type == NodeType.TRIGGER_PLUGIN and "trigger_info" in execution_metadata:
+                trigger_info = execution_metadata["trigger_info"] or {}
+                provider_id = trigger_info.get("provider_id")
+                if provider_id:
+                    extras["icon"] = TriggerManager.get_trigger_plugin_icon(
+                        tenant_id=self.tenant_id,
+                        provider_id=provider_id,
+                    )
         return extras
 
     def _get_offload_by_type(self, type_: ExecutionOffLoadType) -> Optional["WorkflowNodeExecutionOffload"]:

api/services/rag_pipeline/rag_pipeline.py

@@ -1248,12 +1248,14 @@ class RagPipelineService:
             session.commit()
         return workflow_node_execution_db_model
 
-    def get_recommended_plugins(self) -> dict:
+    def get_recommended_plugins(self, type: str) -> dict:
         # Query active recommended plugins
+        query = db.session.query(PipelineRecommendedPlugin).where(PipelineRecommendedPlugin.active == True)
+        if type and type != "all":
+            query = query.where(PipelineRecommendedPlugin.type == type)
+
         pipeline_recommended_plugins = (
-            db.session.query(PipelineRecommendedPlugin)
+            query.order_by(PipelineRecommendedPlugin.position.asc())
-            .where(PipelineRecommendedPlugin.active == True)
-            .order_by(PipelineRecommendedPlugin.position.asc())
             .all()
         )