Merge branch 'cz/mergeAll' of https://github.com/langflow-ai/langflow into cz/mergeAll

src/backend/base/langflow/api/utils.py

@@ -219,7 +219,7 @@ async def build_and_cache_graph_from_db(flow_id: str, session: Session, chat_ser
         if vertex is None:
             raise ValueError(f"Vertex {vertex_id} not found")
         if not vertex._raw_params.get("session_id"):
-            vertex.update_raw_params({"session_id": flow_id})
+            vertex.update_raw_params({"session_id": flow_id}, overwrite=True)
     await chat_service.set_cache(flow_id, graph)
     return graph
 

src/backend/base/langflow/components/outputs/RecordsOutput.py

@@ -16,4 +16,5 @@ class RecordOutput(CustomComponent):
         }
 
     def build(self, input_value: Record) -> Record:
+        self.status = input_value
         return input_value

src/backend/base/langflow/custom/custom_component/custom_component.py

@@ -126,8 +126,11 @@ class CustomComponent(Component):
     @staticmethod
     def resolve_path(path: str) -> str:
         """Resolves the path to an absolute path."""
+        if not path:
+            return path
         path_object = Path(path)
-        if path_object.parts[0] == "~":
+
+        if path_object.parts and path_object.parts[0] == "~":
             path_object = path_object.expanduser()
         elif path_object.is_relative_to("."):
             path_object = path_object.resolve()

src/backend/base/langflow/field_typing/prompt.py

@@ -25,6 +25,7 @@ class Prompt(Record):
         prompt_template = PromptTemplate.from_template(self.template)
         variables_with_str_values = dict_values_to_string(self.variables)
         formatted_prompt = prompt_template.format(**variables_with_str_values)
+        self.text = formatted_prompt
         return formatted_prompt
 
     @classmethod

src/backend/base/langflow/schema/record.py

@@ -1,12 +1,12 @@
 import copy
 import json
-from typing import cast, Optional
+from typing import Optional, cast
 
 from langchain_core.documents import Document
 from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage
+from langchain_core.prompt_values import ImagePromptValue
 from langchain_core.prompts.image import ImagePromptTemplate
 from pydantic import BaseModel, model_serializer, model_validator
-from langchain_core.prompt_values import ImagePromptValue
 
 
 class Record(BaseModel):
@@ -200,3 +200,6 @@ class Record(BaseModel):
 
     def __contains__(self, key):
         return key in self.data
+
+    def __eq__(self, other):
+        return isinstance(other, Record) and self.data == other.data

src/frontend/src/CustomNodes/GenericNode/components/outputModal/components/switchOutputView/index.tsx

@@ -28,7 +28,7 @@ export default function SwitchOutputView(nodeId): JSX.Element {
   if (resultMessage.raw) {
     resultMessage = resultMessage.raw;
   }
-  console.log("resultType", results);
+
   return (
     <>
       <Case condition={!resultType || resultType === "unknown"}>

src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx

@@ -254,7 +254,11 @@ export default function IOFieldView({
               <div className={left ? "h-56" : "h-full"}>
                 <RecordsOutputComponent
                   pagination={!left}
-                  rows={flowPoolNode?.data?.artifacts?.records ?? []}
+                  rows={
+                    flowPoolNode?.data?.artifacts?.map(
+                      (artifact) => artifact.data
+                    ) ?? []
+                  }
                   columnMode="union"
                 />
               </div>