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from typing import Optional
from enum import Enum
from pydantic import BaseModel, Field
from comfy.comfy_types.node_typing import IO
from comfy_api_nodes.mapper_utils import model_field_to_node_input
def test_model_field_to_float_input():
"""Tests mapping a float field with constraints."""
class ModelWithFloatField(BaseModel):
cfg_scale: Optional[float] = Field(
default=0.5,
description="Flexibility in video generation",
ge=0.0,
le=1.0,
multiple_of=0.001,
)
expected_output = (
IO.FLOAT,
{
"default": 0.5,
"tooltip": "Flexibility in video generation",
"min": 0.0,
"max": 1.0,
"step": 0.001,
},
)
actual_output = model_field_to_node_input(
IO.FLOAT, ModelWithFloatField, "cfg_scale"
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_float_input_no_constraints():
"""Tests mapping a float field with no constraints."""
class ModelWithFloatField(BaseModel):
cfg_scale: Optional[float] = Field(default=0.5)
expected_output = (
IO.FLOAT,
{
"default": 0.5,
},
)
actual_output = model_field_to_node_input(
IO.FLOAT, ModelWithFloatField, "cfg_scale"
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_int_input():
"""Tests mapping an int field with constraints."""
class ModelWithIntField(BaseModel):
num_frames: Optional[int] = Field(
default=10,
description="Number of frames to generate",
ge=1,
le=100,
multiple_of=1,
)
expected_output = (
IO.INT,
{
"default": 10,
"tooltip": "Number of frames to generate",
"min": 1,
"max": 100,
"step": 1,
},
)
actual_output = model_field_to_node_input(IO.INT, ModelWithIntField, "num_frames")
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_string_input():
"""Tests mapping a string field."""
class ModelWithStringField(BaseModel):
prompt: Optional[str] = Field(
default="A beautiful sunset over a calm ocean",
description="A prompt for the video generation",
)
expected_output = (
IO.STRING,
{
"default": "A beautiful sunset over a calm ocean",
"tooltip": "A prompt for the video generation",
},
)
actual_output = model_field_to_node_input(IO.STRING, ModelWithStringField, "prompt")
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_string_input_multiline():
"""Tests mapping a string field."""
class ModelWithStringField(BaseModel):
prompt: Optional[str] = Field(
default="A beautiful sunset over a calm ocean",
description="A prompt for the video generation",
)
expected_output = (
IO.STRING,
{
"default": "A beautiful sunset over a calm ocean",
"tooltip": "A prompt for the video generation",
"multiline": True,
},
)
actual_output = model_field_to_node_input(
IO.STRING, ModelWithStringField, "prompt", multiline=True
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_combo_input():
"""Tests mapping a combo field."""
class MockEnum(str, Enum):
option_1 = "option 1"
option_2 = "option 2"
option_3 = "option 3"
class ModelWithComboField(BaseModel):
model_name: Optional[MockEnum] = Field("option 1", description="Model Name")
expected_output = (
IO.COMBO,
{
"options": ["option 1", "option 2", "option 3"],
"default": "option 1",
"tooltip": "Model Name",
},
)
actual_output = model_field_to_node_input(
IO.COMBO, ModelWithComboField, "model_name", enum_type=MockEnum
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_combo_input_no_options():
"""Tests mapping a combo field with no options."""
class ModelWithComboField(BaseModel):
model_name: Optional[str] = Field(description="Model Name")
expected_output = (
IO.COMBO,
{
"tooltip": "Model Name",
},
)
actual_output = model_field_to_node_input(
IO.COMBO, ModelWithComboField, "model_name"
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_image_input():
"""Tests mapping an image field."""
class ModelWithImageField(BaseModel):
image: Optional[str] = Field(
default=None,
description="An image for the video generation",
)
expected_output = (
IO.IMAGE,
{
"default": None,
"tooltip": "An image for the video generation",
},
)
actual_output = model_field_to_node_input(IO.IMAGE, ModelWithImageField, "image")
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_node_input_no_description():
"""Tests mapping a field with no description."""
class ModelWithNoDescriptionField(BaseModel):
field: Optional[str] = Field(default="default value")
expected_output = (
IO.STRING,
{
"default": "default value",
},
)
actual_output = model_field_to_node_input(
IO.STRING, ModelWithNoDescriptionField, "field"
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_node_input_no_default():
"""Tests mapping a field with no default."""
class ModelWithNoDefaultField(BaseModel):
field: Optional[str] = Field(description="A field with no default")
expected_output = (
IO.STRING,
{
"tooltip": "A field with no default",
},
)
actual_output = model_field_to_node_input(
IO.STRING, ModelWithNoDefaultField, "field"
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_node_input_no_metadata():
"""Tests mapping a field with no metadata or properties defined on the schema."""
class ModelWithNoMetadataField(BaseModel):
field: Optional[str] = Field()
expected_output = (
IO.STRING,
{},
)
actual_output = model_field_to_node_input(
IO.STRING, ModelWithNoMetadataField, "field"
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
def test_model_field_to_node_input_default_is_none():
"""
Tests mapping a field with a default of `None`.
I.e., the default field should be included as the schema explicitly sets it to `None`.
"""
class ModelWithNoneDefaultField(BaseModel):
field: Optional[str] = Field(
default=None, description="A field with a default of None"
)
expected_output = (
IO.STRING,
{
"default": None,
"tooltip": "A field with a default of None",
},
)
actual_output = model_field_to_node_input(
IO.STRING, ModelWithNoneDefaultField, "field"
)
assert actual_output[0] == expected_output[0]
assert actual_output[1] == expected_output[1]
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