refactor: separating modules to fix circular import

src/backend/langflow/custom/customs.py

@@ -1,4 +1,4 @@
-from langflow.node import nodes
+from langflow.template import nodes
 
 
 CUSTOM_NODES = {

src/backend/langflow/graph/graph.py

@@ -6,10 +6,9 @@
 from copy import deepcopy
 import types
 from typing import Any, Dict, List, Optional, Union
+from langflow.utils import payload
+from langflow.interface.listing import ALL_TYPES_DICT, ALL_TOOLS_NAMES, TOOLS_DICT
 from langflow.interface import loading
-from langflow.utils import payload, util
-from langflow.interface.listing import ALL_TYPES_DICT
-from langflow.utils.constants import ALL_TOOLS_NAMES
 
 
 class Node:
@@ -139,7 +138,7 @@ class Node:
         # and return the instance
         for base_type, value in ALL_TYPES_DICT.items():
             if base_type == "tools":
-                value = util.get_tools_dict()
+                value = TOOLS_DICT
 
             if self.node_type in value:
                 self._built_object = loading.instantiate_class(

src/backend/langflow/interface/importing/__init__.py

@@ -0,0 +1,7 @@
+from langflow.interface.importing.utils import import_by_type  # noqa: F401
+
+# This module is used to import any langchain class by name.
+
+ALL = [
+    "import_by_type",
+]

src/backend/langflow/interface/listing.py

@@ -7,7 +7,14 @@ from langflow.interface.custom_lists import (
 )
 from langflow.settings import settings
 from langflow.utils import util
-from langflow.utils.constants import ALL_TOOLS_NAMES
+from langchain.agents.load_tools import get_all_tool_names
+from langchain.agents import Tool
+from langflow.interface.custom_types import PythonFunction
+
+
+CUSTOM_TOOLS = {"Tool": Tool, "PythonFunction": PythonFunction}
+TOOLS_DICT = util.get_tools_dict()
+ALL_TOOLS_NAMES = set(get_all_tool_names() + list(CUSTOM_TOOLS.keys()))
 
 
 def get_type_dict():
@@ -51,9 +58,9 @@ def list_tools():
 
     tools = []
 
-    for tool in list(ALL_TOOLS_NAMES):
+    for tool in ALL_TOOLS_NAMES:
         tool_params = util.get_tool_params(util.get_tool_by_name(tool))
-        if tool_params and tool_params["name"] in settings.tools or settings.dev:
+        if tool_params and tool_params.get("name") in settings.tools or settings.dev:
             tools.append(tool_params["name"])
 
     # Add Tool

src/backend/langflow/interface/loading.py

@@ -9,9 +9,9 @@ from langchain.agents.load_tools import (
     _LLM_TOOLS,
 )
 from langchain.agents import agent as agent_module
-from langflow.utils.graph import Graph
 
-from langflow.interface.importing import import_by_type
+
+from langflow.interface.importing.utils import import_by_type
 
 from langchain.agents import ZeroShotAgent
 from langchain.agents.loading import load_agent_from_config
@@ -61,6 +61,8 @@ def load_flow_from_json(path: str):
 
 
 def extract_json(data_graph):
+    from langflow.graph.graph import Graph
+
     nodes = data_graph["nodes"]
     # Substitute ZeroShotPrompt with PromptTemplate
     nodes = replace_zero_shot_prompt_with_prompt_template(nodes)

src/backend/langflow/interface/run.py

@@ -5,7 +5,7 @@ from typing import Any, Dict
 
 from langflow.interface import loading
 from langflow.utils import payload
-from langflow.utils.graph import Graph
+from langflow.graph.graph import Graph
 
 
 def process_data_graph(data_graph: Dict[str, Any]):

src/backend/langflow/interface/signature.py

@@ -13,9 +13,9 @@ from langflow.interface.custom_lists import (
     llm_type_to_cls_dict,
     memory_type_to_cls_dict,
 )
-from langflow.node.template import Field, Template
+from langflow.interface.listing import CUSTOM_TOOLS, ALL_TOOLS_NAMES
+from langflow.template.template import Field, Template
 from langflow.utils import util
-from langflow.utils.constants import ALL_TOOLS_NAMES, CUSTOM_TOOLS
 
 
 def get_signature(name: str, object_type: str):

src/backend/langflow/template/nodes.py

@@ -1,4 +1,4 @@
-from langflow.node.template import Field, FrontendNode, Template
+from langflow.template.template import Field, FrontendNode, Template
 from langchain.agents.mrkl import prompt
 from langflow.utils.constants import DEFAULT_PYTHON_FUNCTION
 

src/backend/langflow/utils/constants.py

@@ -1,7 +1,3 @@
-from langchain.agents import Tool
-from langflow.interface.custom_types import PythonFunction
-from langchain.agents.load_tools import get_all_tool_names
-
 OPENAI_MODELS = [
     "text-davinci-003",
     "text-davinci-002",
@@ -11,11 +7,8 @@ OPENAI_MODELS = [
 ]
 CHAT_OPENAI_MODELS = ["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"]
 
-CUSTOM_TOOLS = {"Tool": Tool, "PythonFunction": PythonFunction}
 
 DEFAULT_PYTHON_FUNCTION = """
 def python_function(text: str) -> str:
     return text
 """
-
-ALL_TOOLS_NAMES = set(get_all_tool_names() + list(CUSTOM_TOOLS.keys()))

src/backend/langflow/utils/util.py

@@ -15,6 +15,7 @@ from langchain.agents.load_tools import (
 
 from langchain.agents.tools import Tool
 
+
 from langflow.utils import constants
 
 
@@ -165,12 +166,14 @@ def get_default_factory(module: str, function: str):
 
 def get_tools_dict():
     """Get the tools dictionary."""
+    from langflow.interface.listing import CUSTOM_TOOLS
+
     tools = {
         **_BASE_TOOLS,
         **_LLM_TOOLS,
         **{k: v[0] for k, v in _EXTRA_LLM_TOOLS.items()},
         **{k: v[0] for k, v in _EXTRA_OPTIONAL_TOOLS.items()},
-        **constants.CUSTOM_TOOLS,
+        **CUSTOM_TOOLS,
     }
     return tools
 

tests/test_endpoints.py

@@ -1,14 +1,4 @@
-# # build router
-# router = APIRouter()
-
-
-# @router.get("/all")
-# def get_all():
-#     return build_langchain_types_dict()
-
-
-# Buil test for /all endpoint
-from langflow.utils.constants import CUSTOM_TOOLS
+from langflow.interface.listing import CUSTOM_TOOLS
 from fastapi.testclient import TestClient
 
 

tests/test_graph.py

@@ -1,5 +1,5 @@
 import json
-from langflow.utils.graph import Edge, Graph, Node
+from langflow.graph.graph import Edge, Graph, Node
 import pytest
 from langflow.utils.payload import build_json, get_root_node
 from langchain.agents import AgentExecutor

tests/test_loading.py

@@ -1,6 +1,6 @@
 import json
 from langchain import LLMChain, OpenAI
-from langflow.utils.graph import Graph
+from langflow.graph.graph import Graph
 import pytest
 
 from langflow import load_flow_from_json