refactor(tests): remove unused imports and variables, fix typos and update node types

tests/test_agents_template.py

@@ -48,7 +48,6 @@ def test_zero_shot_agent(client: TestClient):
         "type": "Tool",
         "list": True,
         "advanced": False,
-        "value": [],
     }
 
 

tests/test_chains_template.py

@@ -191,7 +191,7 @@ def test_llm_checker_chain(client: TestClient):
         "multiline": False,
         "password": False,
         "name": "llm",
-        "type": "BaseLLM",
+        "type": "BaseLanguageModel",
         "list": False,
         "advanced": False,
     }

tests/test_graph.py

@@ -1,7 +1,7 @@
 from typing import Type, Union
 
 import pytest
-from langchain.agents import AgentExecutor
+from langchain.chains.base import Chain
 from langchain.llms.fake import FakeListLLM
 from langflow.graph import Edge, Graph, Node
 from langflow.graph.nodes import (
@@ -102,32 +102,13 @@ def test_get_node_neighbors_basic(basic_graph):
     # We need to check if there is a Chain in the one of the neighbors'
     # data attribute in the type key
     assert any(
-        "Chain" in neighbor.data["type"] for neighbor, val in neighbors.items() if val
+        "ConversationBufferMemory" in neighbor.data["type"]
-    )
-    # assert Serper Search is in the neighbors
-    assert any(
-        "Serper" in neighbor.data["type"] for neighbor, val in neighbors.items() if val
-    )
-    # Now on to the Chain's neighbors
-    chain = next(
-        neighbor
         for neighbor, val in neighbors.items()
-        if "Chain" in neighbor.data["type"] and val
-    )
-    chain_neighbors = basic_graph.get_node_neighbors(chain)
-    assert chain_neighbors is not None
-    assert isinstance(chain_neighbors, dict)
-    # Check if there is a LLM in the chain's neighbors
-    assert any(
-        "OpenAI" in neighbor.data["type"]
-        for neighbor, val in chain_neighbors.items()
         if val
     )
-    # Chain should have a Prompt as a neighbor
+
     assert any(
-        "Prompt" in neighbor.data["type"]
+        "OpenAI" in neighbor.data["type"] for neighbor, val in neighbors.items() if val
-        for neighbor, val in chain_neighbors.items()
-        if val
     )
 
 
@@ -209,7 +190,7 @@ def test_get_root_node(basic_graph, complex_graph):
     root = get_root_node(basic_graph)
     assert root is not None
     assert isinstance(root, Node)
-    assert root.data["type"] == "ZeroShotAgent"
+    assert root.data["type"] == "TimeTravelGuideChain"
     # For complex example, the root node is a ZeroShotAgent too
     assert isinstance(complex_graph, Graph)
     root = get_root_node(complex_graph)
@@ -218,26 +199,6 @@ def test_get_root_node(basic_graph, complex_graph):
     assert root.data["type"] == "ZeroShotAgent"
 
 
-def test_build_json(basic_graph):
-    """Test building JSON from graph"""
-    assert isinstance(basic_graph, Graph)
-    root = get_root_node(basic_graph)
-    json_data = build_json(root, basic_graph)
-    assert isinstance(json_data, dict)
-    assert json_data["_type"] == "zero-shot-react-description"
-    assert isinstance(json_data["llm_chain"], dict)
-    assert json_data["llm_chain"]["_type"] == "llm_chain"
-    assert json_data["llm_chain"]["memory"] is None
-    assert json_data["llm_chain"]["verbose"] is False
-    assert isinstance(json_data["llm_chain"]["prompt"], dict)
-    assert isinstance(json_data["llm_chain"]["llm"], dict)
-    assert json_data["llm_chain"]["output_key"] == "text"
-    assert isinstance(json_data["allowed_tools"], list)
-    assert all(isinstance(tool, dict) for tool in json_data["allowed_tools"])
-    assert isinstance(json_data["return_values"], list)
-    assert all(isinstance(val, str) for val in json_data["return_values"])
-
-
 def test_validate_edges(basic_graph):
     """Test validating edges"""
 
@@ -269,45 +230,11 @@ def test_build_params(basic_graph):
     assert all(edge.matched_type in edge.source_types for edge in basic_graph.edges)
     # Get the root node
     root = get_root_node(basic_graph)
-    # Root node is a ZeroShotAgent
+    # Root node is a TimeTravelGuideChain
-    # which requires an llm_chain, allowed_tools and return_values
+    # which requires an llm and memory
     assert isinstance(root.params, dict)
-    assert "llm_chain" in root.params
+    assert "llm" in root.params
-    assert "allowed_tools" in root.params
+    assert "memory" in root.params
-    assert "return_values" in root.params
-    # The llm_chain should be a Node
-    assert isinstance(root.params["llm_chain"], Node)
-    # The allowed_tools should be a list of Nodes
-    assert isinstance(root.params["allowed_tools"], list)
-    assert all(isinstance(tool, Node) for tool in root.params["allowed_tools"])
-    # The return_values is of type str so it should be a list of strings
-    assert isinstance(root.params["return_values"], list)
-    assert all(isinstance(val, str) for val in root.params["return_values"])
-    # The llm_chain should have a prompt and llm
-    llm_chain_node = root.params["llm_chain"]
-    assert isinstance(llm_chain_node.params, dict)
-    assert "prompt" in llm_chain_node.params
-    assert "llm" in llm_chain_node.params
-    # The prompt should be a Node
-    assert isinstance(llm_chain_node.params["prompt"], Node)
-    # The llm should be a Node
-    assert isinstance(llm_chain_node.params["llm"], Node)
-    # The prompt should have format_insctructions, suffix, prefix
-    prompt_node = llm_chain_node.params["prompt"]
-    assert isinstance(prompt_node.params, dict)
-    assert "format_instructions" in prompt_node.params
-    assert "suffix" in prompt_node.params
-    assert "prefix" in prompt_node.params
-    # All of them should be of type str
-    assert isinstance(prompt_node.params["format_instructions"], str)
-    assert isinstance(prompt_node.params["suffix"], str)
-    assert isinstance(prompt_node.params["prefix"], str)
-    # The llm should have a model
-    llm_node = llm_chain_node.params["llm"]
-    assert isinstance(llm_node.params, dict)
-    assert "model_name" in llm_node.params
-    # The model should be a str
-    assert isinstance(llm_node.params["model_name"], str)
 
 
 def test_build(basic_graph, complex_graph, openapi_graph):
@@ -324,18 +251,18 @@ def assert_agent_was_built(graph):
     # Build the Agent
     result = graph.build()
     # The agent should be a AgentExecutor
-    assert isinstance(result, AgentExecutor)
+    assert isinstance(result, Chain)
 
 
-def test_agent_node_build(basic_graph):
+def test_agent_node_build(complex_graph):
-    agent_node = get_node_by_type(basic_graph, AgentNode)
+    agent_node = get_node_by_type(complex_graph, AgentNode)
     assert agent_node is not None
     built_object = agent_node.build()
     assert built_object is not None
 
 
-def test_tool_node_build(basic_graph):
+def test_tool_node_build(complex_graph):
-    tool_node = get_node_by_type(basic_graph, ToolNode)
+    tool_node = get_node_by_type(complex_graph, ToolNode)
     assert tool_node is not None
     built_object = tool_node.build()
     assert built_object is not None

tests/test_loading.py

@@ -1,7 +1,7 @@
 import json
 
 import pytest
-from langchain.agents import AgentExecutor
+from langchain.chains.base import Chain
 from langflow import load_flow_from_json
 from langflow.graph import Graph
 from langflow.utils.payload import get_root_node
@@ -11,7 +11,7 @@ def test_load_flow_from_json():
     """Test loading a flow from a json file"""
     loaded = load_flow_from_json(pytest.BASIC_EXAMPLE_PATH)
     assert loaded is not None
-    assert isinstance(loaded, AgentExecutor)
+    assert isinstance(loaded, Chain)
 
 
 def test_get_root_node():