d4559c1356
The test now includes an assertion to check if the result of the function call is not None. This ensures that the function is returning a value and that the test is checking the correct output.
286 lines
7.6 KiB
Python
286 lines
7.6 KiB
Python
import importlib
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from typing import Dict, List, Optional
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import pytest
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from langflow.utils.constants import CHAT_OPENAI_MODELS, OPENAI_MODELS
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from langflow.utils.util import (
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build_template_from_class,
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build_template_from_function,
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format_dict,
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get_base_classes,
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get_default_factory,
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)
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from pydantic import BaseModel
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# Dummy classes for testing purposes
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class Parent(BaseModel):
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"""Parent Class"""
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parent_field: str
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class Child(Parent):
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"""Child Class"""
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child_field: int
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class ExampleClass1(BaseModel):
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"""Example class 1."""
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def __init__(self, data: Optional[List[int]] = None):
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self.data = data or [1, 2, 3]
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class ExampleClass2(BaseModel):
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"""Example class 2."""
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def __init__(self, data: Optional[Dict[str, int]] = None):
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self.data = data or {"a": 1, "b": 2, "c": 3}
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def example_loader_1() -> ExampleClass1:
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"""Example loader function 1."""
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return ExampleClass1()
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def example_loader_2() -> ExampleClass2:
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"""Example loader function 2."""
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return ExampleClass2()
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def test_build_template_from_function():
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type_to_loader_dict = {
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"example1": example_loader_1,
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"example2": example_loader_2,
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}
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# Test with valid name
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result = build_template_from_function("ExampleClass1", type_to_loader_dict)
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assert result is not None
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assert "template" in result
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assert "description" in result
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assert "base_classes" in result
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# Test with add_function=True
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result_with_function = build_template_from_function(
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"ExampleClass1", type_to_loader_dict, add_function=True
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)
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assert result_with_function is not None
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assert "function" in result_with_function["base_classes"]
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# Test with invalid name
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with pytest.raises(ValueError, match=r".* not found"):
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build_template_from_function("NonExistent", type_to_loader_dict)
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# Test build_template_from_class
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def test_build_template_from_class():
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type_to_cls_dict: Dict[str, type] = {"parent": Parent, "child": Child}
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# Test valid input
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result = build_template_from_class("Child", type_to_cls_dict)
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assert result is not None
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assert "template" in result
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assert "description" in result
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assert "base_classes" in result
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assert "Child" in result["base_classes"]
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assert "Parent" in result["base_classes"]
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assert result["description"] == "Child Class"
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# Test invalid input
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with pytest.raises(ValueError, match="InvalidClass not found."):
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build_template_from_class("InvalidClass", type_to_cls_dict)
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# Test format_dict
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def test_format_dict():
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# Test 1: Optional type removal
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input_dict = {
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"field1": {"type": "Optional[str]", "required": False},
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}
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expected_output = {
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"field1": {
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"type": "str",
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"required": False,
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"list": False,
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"show": False,
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"password": False,
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"multiline": False,
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},
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}
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assert format_dict(input_dict) == expected_output
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# Test 2: List type processing
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input_dict = {
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"field1": {"type": "List[str]", "required": False},
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}
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expected_output = {
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"field1": {
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"type": "str",
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"required": False,
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"list": True,
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"show": False,
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"password": False,
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"multiline": False,
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},
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}
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assert format_dict(input_dict) == expected_output
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# Test 3: Mapping type replacement
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input_dict = {
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"field1": {"type": "Mapping[str, int]", "required": False},
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}
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expected_output = {
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"field1": {
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"type": "code", # Mapping type is replaced with dict which is replaced with code
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"required": False,
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"list": False,
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"show": False,
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"password": False,
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"multiline": False,
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},
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}
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assert format_dict(input_dict) == expected_output
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# Test 4: Replace default value with actual value
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input_dict = {
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"field1": {"type": "str", "required": False, "default": "test"},
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}
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expected_output = {
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"field1": {
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"type": "str",
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"required": False,
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"list": False,
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"show": False,
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"password": False,
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"multiline": False,
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"value": "test",
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},
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}
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assert format_dict(input_dict) == expected_output
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# Test 5: Add password field
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input_dict = {
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"field1": {"type": "str", "required": False},
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"api_key": {"type": "str", "required": False},
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}
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expected_output = {
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"field1": {
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"type": "str",
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"required": False,
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"list": False,
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"show": False,
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"password": False,
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"multiline": False,
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},
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"api_key": {
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"type": "str",
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"required": False,
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"list": False,
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"show": True,
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"password": True,
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"multiline": False,
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},
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}
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assert format_dict(input_dict) == expected_output
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# Test 6: Add multiline
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input_dict = {
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"field1": {"type": "str", "required": False},
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"prefix": {"type": "str", "required": False},
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}
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expected_output = {
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"field1": {
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"type": "str",
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"required": False,
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"list": False,
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"show": False,
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"password": False,
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"multiline": False,
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},
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"prefix": {
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"type": "str",
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"required": False,
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"list": False,
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"show": True,
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"password": False,
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"multiline": True,
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},
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}
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assert format_dict(input_dict) == expected_output
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# Test 7: Check class name-specific cases (OpenAI, ChatOpenAI)
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input_dict = {
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"model_name": {"type": "str", "required": False},
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}
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expected_output_openai = {
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"model_name": {
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"type": "str",
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"required": False,
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"list": True,
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"show": True,
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"password": False,
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"multiline": False,
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"options": OPENAI_MODELS,
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"value": "text-davinci-003",
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},
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}
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expected_output_openai_chat = {
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"model_name": {
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"type": "str",
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"required": False,
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"list": True,
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"show": True,
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"password": False,
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"multiline": False,
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"options": CHAT_OPENAI_MODELS,
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"value": "gpt-3.5-turbo-0613",
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},
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}
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assert format_dict(input_dict, "OpenAI") == expected_output_openai
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assert format_dict(input_dict, "ChatOpenAI") == expected_output_openai_chat
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# Test 8: Replace dict type with str
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input_dict = {
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"field1": {"type": "Dict[str, int]", "required": False},
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}
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expected_output = {
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"field1": {
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"type": "code",
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"required": False,
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"list": False,
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"show": False,
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"password": False,
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"multiline": False,
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},
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}
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assert format_dict(input_dict) == expected_output
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# Test get_base_classes
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def test_get_base_classes():
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base_classes_parent = get_base_classes(Parent)
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base_classes_child = get_base_classes(Child)
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assert "Parent" in base_classes_parent
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assert "Child" in base_classes_child
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assert "Parent" in base_classes_child
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# Test get_default_factory
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def test_get_default_factory():
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module_name = "langflow.utils.util"
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function_repr = "<function dummy_function>"
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def dummy_function():
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return "default_value"
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# Add dummy_function to your_module
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setattr(importlib.import_module(module_name), "dummy_function", dummy_function)
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default_value = get_default_factory(module_name, function_repr)
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assert default_value == "default_value"
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