feat(datasource): change datasource result type to event-stream

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

@@ -414,16 +414,19 @@ class RagPipelinePublishedDatasourceNodeRunApi(Resource):
             raise ValueError("missing datasource_type")
 
         rag_pipeline_service = RagPipelineService()
-        result = rag_pipeline_service.run_datasource_workflow_node(
+        return helper.compact_generate_response(
+            PipelineGenerator.convert_to_event_stream(
+                rag_pipeline_service.run_datasource_workflow_node(
                     pipeline=pipeline,
                     node_id=node_id,
                     user_inputs=inputs,
                     account=current_user,
                     datasource_type=datasource_type,
-            is_published=True,
+                    is_published=False,
+                )
+            )
         )
 
-        return result
 
 
 class RagPipelineDraftDatasourceNodeRunApi(Resource):
@@ -455,7 +458,6 @@ class RagPipelineDraftDatasourceNodeRunApi(Resource):
             raise ValueError("missing datasource_type")
 
         rag_pipeline_service = RagPipelineService()
-        try:
         return helper.compact_generate_response(
             PipelineGenerator.convert_to_event_stream(
                 rag_pipeline_service.run_datasource_workflow_node(
@@ -468,8 +470,6 @@ class RagPipelineDraftDatasourceNodeRunApi(Resource):
                 )
             )
         )
-        except Exception as e:
-            print(e)
 
 
 class RagPipelinePublishedNodeRunApi(Resource):

api/core/app/apps/pipeline/pipeline_generator.py

@@ -2,14 +2,14 @@ import contextvars
 import datetime
 import json
 import logging
-import random
+import secrets 
 import threading
 import time
 import uuid
 from collections.abc import Generator, Mapping
 from typing import Any, Literal, Optional, Union, overload
 
-from flask import Flask, copy_current_request_context, current_app, has_request_context
+from flask import Flask, current_app
 from pydantic import ValidationError
 from sqlalchemy.orm import sessionmaker
 
@@ -110,7 +110,7 @@ class PipelineGenerator(BaseAppGenerator):
         start_node_id: str = args["start_node_id"]
         datasource_type: str = args["datasource_type"]
         datasource_info_list: list[Mapping[str, Any]] = args["datasource_info_list"]
-        batch = time.strftime("%Y%m%d%H%M%S") + str(random.randint(100000, 999999))
+        batch = time.strftime("%Y%m%d%H%M%S") + str(secrets.randbelow(900000) + 100000)
         documents = []
         if invoke_from == InvokeFrom.PUBLISHED:
             for datasource_info in datasource_info_list:

api/core/rag/entities/event.py

@@ -19,9 +19,9 @@ class BaseDatasourceEvent(BaseModel):
 class DatasourceCompletedEvent(BaseDatasourceEvent):
     event: str = DatasourceStreamEvent.COMPLETED.value
     data: Mapping[str,Any] | list = Field(..., description="result")
-    total: Optional[int] = Field(..., description="total")
-    completed: Optional[int] = Field(..., description="completed")
-    time_consuming: Optional[float] = Field(..., description="time consuming")
+    total: Optional[int] = Field(default=0, description="total")
+    completed: Optional[int] = Field(default=0, description="completed")
+    time_consuming: Optional[float] = Field(default=0.0, description="time consuming")
 
 class DatasourceProcessingEvent(BaseDatasourceEvent):
     event: str = DatasourceStreamEvent.PROCESSING.value

api/services/rag_pipeline/rag_pipeline.py

@@ -558,6 +558,7 @@ class RagPipelineService:
                     provider_type=datasource_runtime.datasource_provider_type(),
                 )
                 start_time = time.time()
+                try:
                     for message in website_crawl_result:
                         end_time = time.time()
                         if message.result.status == "completed":
@@ -573,6 +574,8 @@ class RagPipelineService:
                                 completed=message.result.completed,
                             )
                         yield crawl_event.model_dump()
+                except Exception as e:
+                    print(str(e))
             case _:
                 raise ValueError(f"Unsupported datasource provider: {datasource_runtime.datasource_provider_type}")