🐛 fix(endpoints.py): skip processing empty custom_component_dict to prevent errors

🐛 fix(schemas.py): import field_validator from pydantic instead of Field
🐛 fix(base.py): return None if fields only contain _type key
🐛 fix(flow.py): set default value of description field to an empty string
🐛 fix(base.py): import validator from pydantic instead of field_validator
🐛 fix(conftest.py): change scope of client fixture to function and add autouse=True to ensure it runs for every test

src/backend/langflow/api/v1/endpoints.py

@@ -59,6 +59,8 @@ def get_all():
         logger.info(f"Loading {len(custom_component_dicts)} category(ies)")
         for custom_component_dict in custom_component_dicts:
             # custom_component_dict is a dict of dicts
+            if not custom_component_dict:
+                continue
             category = list(custom_component_dict.keys())[0]
             logger.info(
                 f"Loading {len(custom_component_dict[category])} component(s) from category {category}"

src/backend/langflow/api/v1/schemas.py

@@ -2,7 +2,7 @@ from enum import Enum
 from pathlib import Path
 from typing import Any, Dict, List, Optional, Union
 from langflow.services.database.models.flow import FlowCreate, FlowRead
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, field_validator
 import json
 
 

src/backend/langflow/interface/tools/base.py

@@ -136,10 +136,15 @@ class ToolCreator(LangChainTypeCreator):
             tool_dict = build_template_from_class(tool_type, OTHER_TOOLS)
             fields = tool_dict["template"]
 
+            # _type is the only key in fields
+            # return None
+            if len(fields) == 1 and "_type" in fields:
+                return None
+
             # Pop unnecessary fields and add name
             fields.pop("_type")  # type: ignore
-            fields.pop("return_direct")  # type: ignore
-            fields.pop("verbose")  # type: ignore
+            fields.pop("return_direct", None)  # type: ignore
+            fields.pop("verbose", None)  # type: ignore
 
             tool_params = {
                 "name": fields.pop("name")["value"],  # type: ignore

src/backend/langflow/services/database/models/flow.py

@@ -4,13 +4,14 @@ from langflow.services.database.models.base import SQLModelSerializable
 from sqlmodel import Field, JSON, Column
 from uuid import UUID, uuid4
 from typing import Dict, Optional
+from pydantic import field_validator
 
 # if TYPE_CHECKING:
 
 
 class FlowBase(SQLModelSerializable):
     name: str = Field(index=True)
-    description: Optional[str] = Field(index=True)
+    description: Optional[str] = Field(index=True, default="")
     data: Optional[Dict] = Field(default=None)
 
     @field_validator("data")

src/backend/langflow/services/settings/base.py

@@ -8,7 +8,7 @@ from pathlib import Path
 
 import yaml
 from pydantic_settings import SettingsConfigDict, BaseSettings
-from pydantic import field_validator
+from pydantic import field_validator, validator
 from langflow.utils.logger import logger
 
 # BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")

tests/conftest.py

@@ -108,7 +108,7 @@ def session_fixture():
         yield session
 
 
-@pytest.fixture(name="client")
+@pytest.fixture(name="client", scope="function", autouse=True)
 def client_fixture(session: Session):
     def get_session_override():
         return session