ComfyUI/comfy_extras/nodes_logic.py
Jedrzej Kosinski 0be8a76c93
V3 Improvements + DynamicCombo + Autogrow exposed in public API (#11345)
* Support Combo outputs in a more sane way

* Remove test validate_inputs function on test node

* Make curr_prefix be a list of strings instead of string for easier parsing as keys get added to dynamic types

* Start to account for id prefixes from frontend, need to fix bug with nested dynamics

* Ensure inputs/outputs/hidden are lists in schema finalize function, remove no longer needed 'is not None' checks

* Add raw_link and extra_dict to all relevant Inputs

* Make nested DynamicCombos work properly with prefixed keys on latest frontend; breaks old Autogrow, but is pretty much ready for upcoming Autogrow keys

* Replace ... usage with a MISSING sentinel for clarity in nodes_logic.py

* Added CustomCombo node in backend to reflect frontend node

* Prepare Autogrow's expand_schema_for_dynamic to work with upcoming frontend changes

* Prepare for look up table for dynamic input stuff

* More progress towards dynamic input lookup function stuff

* Finished converting _expand_schema_for_dynamic to be done via lookup instead of OOP to guarantee working with process isolation, did refactoring to remove old implementation + cleaning INPUT_TYPES definition including v3 hidden definition

* Change order of functions

* Removed some unneeded functions after dynamic refactor

* Make MatchType's output default displayname "MATCHTYPE"

* Fix DynamicSlot get_all

* Removed redundant code - dynamic stuff no longer happens in OOP way

* Natively support AnyType (*) without __ne__ hacks

* Remove stray code that made it in

* Remove expand_schema_for_dynamic left over on DynamicInput class

* get_dynamic() on DynamicInput/Output was not doing anything anymore, so removed it

* Make validate_inputs validate combo input correctly

* Temporarily comment out conversion to 'new' (9 month old) COMBO format in get_input_info

* Remove refrences to resources feature scrapped from V3

* Expose DynamicCombo in public API

* satisfy ruff after some code got commented out

* Make missing input error prettier for dynamic types

* Created a Switch2 node as a side-by-side test, will likely go with Switch2 as the initial switch node

* Figured out Switch situation

* Pass in v3_data in IsChangedCache.get function's fingerprint_inputs, add a from_v3_data helper method to HiddenHolder

* Switch order of Switch and Soft Switch nodes in file

* Temp test node for MatchType

* Fix missing v3_data for v1 nodes in validation

* For now, remove chacking duplicate id's for dynamic types

* Add Resize Image/Mask node that thanks to MatchType+DynamicCombo is 16-nodes-in-1

* Made DynamicCombo references in DCTestNode use public interface

* Add an AnyTypeTestNode

* Make lazy status for specific inputs on DynamicInputs work by having the values of the dictionary for check_lazy_status be a tuple, where the second element is the key of the input that can be returned

* Comment out test logic nodes

* Make primitive float's step make more sense

* Add (and leave commented out) some potential logic nodes

* Change default crop option to "center" on Resize Image/Mask node

* Changed copy.copy(d) to d.copy()

* Autogrow is available in stable  frontend, so exposing it in public API

* Use outputs id as display_name if no display_name present, remove v3 outputs id restriction that made them have to have unique IDs from the inputs

* Enable Custom Combo node as stable frontend now supports it

* Make id properly act like display_name on outputs

* Add Batch Images/Masks/Latents node

* Comment out Batch Images/Masks/Latents node for now, as Autogrow has a bug with MatchType where top connection is disconnected upon refresh

* Removed code for a couple test nodes in nodes_logic.py

* Add Batch Images, Batch Masks, and Batch Latents nodes with Autogrow, deprecate old Batch Images + LatentBatch nodes
2025-12-30 23:09:55 -05:00

269 lines
9.3 KiB
Python

from __future__ import annotations
from typing import TypedDict
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io
from comfy_api.latest import _io
# sentinel for missing inputs
MISSING = object()
class SwitchNode(io.ComfyNode):
@classmethod
def define_schema(cls):
template = io.MatchType.Template("switch")
return io.Schema(
node_id="ComfySwitchNode",
display_name="Switch",
category="logic",
is_experimental=True,
inputs=[
io.Boolean.Input("switch"),
io.MatchType.Input("on_false", template=template, lazy=True),
io.MatchType.Input("on_true", template=template, lazy=True),
],
outputs=[
io.MatchType.Output(template=template, display_name="output"),
],
)
@classmethod
def check_lazy_status(cls, switch, on_false=None, on_true=None):
if switch and on_true is None:
return ["on_true"]
if not switch and on_false is None:
return ["on_false"]
@classmethod
def execute(cls, switch, on_true, on_false) -> io.NodeOutput:
return io.NodeOutput(on_true if switch else on_false)
class SoftSwitchNode(io.ComfyNode):
@classmethod
def define_schema(cls):
template = io.MatchType.Template("switch")
return io.Schema(
node_id="ComfySoftSwitchNode",
display_name="Soft Switch",
category="logic",
is_experimental=True,
inputs=[
io.Boolean.Input("switch"),
io.MatchType.Input("on_false", template=template, lazy=True, optional=True),
io.MatchType.Input("on_true", template=template, lazy=True, optional=True),
],
outputs=[
io.MatchType.Output(template=template, display_name="output"),
],
)
@classmethod
def check_lazy_status(cls, switch, on_false=MISSING, on_true=MISSING):
# We use MISSING instead of None, as None is passed for connected-but-unevaluated inputs.
# This trick allows us to ignore the value of the switch and still be able to run execute().
# One of the inputs may be missing, in which case we need to evaluate the other input
if on_false is MISSING:
return ["on_true"]
if on_true is MISSING:
return ["on_false"]
# Normal lazy switch operation
if switch and on_true is None:
return ["on_true"]
if not switch and on_false is None:
return ["on_false"]
@classmethod
def validate_inputs(cls, switch, on_false=MISSING, on_true=MISSING):
# This check happens before check_lazy_status(), so we can eliminate the case where
# both inputs are missing.
if on_false is MISSING and on_true is MISSING:
return "At least one of on_false or on_true must be connected to Switch node"
return True
@classmethod
def execute(cls, switch, on_true=MISSING, on_false=MISSING) -> io.NodeOutput:
if on_true is MISSING:
return io.NodeOutput(on_false)
if on_false is MISSING:
return io.NodeOutput(on_true)
return io.NodeOutput(on_true if switch else on_false)
class CustomComboNode(io.ComfyNode):
"""
Frontend node that allows user to write their own options for a combo.
This is here to make sure the node has a backend-representation to avoid some annoyances.
"""
@classmethod
def define_schema(cls):
return io.Schema(
node_id="CustomCombo",
display_name="Custom Combo",
category="utils",
is_experimental=True,
inputs=[io.Combo.Input("choice", options=[])],
outputs=[io.String.Output()]
)
@classmethod
def validate_inputs(cls, choice: io.Combo.Type) -> bool:
# NOTE: DO NOT DO THIS unless you want to skip validation entirely on the node's inputs.
# I am doing that here because the widgets (besides the combo dropdown) on this node are fully frontend defined.
# I need to skip checking that the chosen combo option is in the options list, since those are defined by the user.
return True
@classmethod
def execute(cls, choice: io.Combo.Type) -> io.NodeOutput:
return io.NodeOutput(choice)
class DCTestNode(io.ComfyNode):
class DCValues(TypedDict):
combo: str
string: str
integer: int
image: io.Image.Type
subcombo: dict[str]
@classmethod
def define_schema(cls):
return io.Schema(
node_id="DCTestNode",
display_name="DCTest",
category="logic",
is_output_node=True,
inputs=[io.DynamicCombo.Input("combo", options=[
io.DynamicCombo.Option("option1", [io.String.Input("string")]),
io.DynamicCombo.Option("option2", [io.Int.Input("integer")]),
io.DynamicCombo.Option("option3", [io.Image.Input("image")]),
io.DynamicCombo.Option("option4", [
io.DynamicCombo.Input("subcombo", options=[
io.DynamicCombo.Option("opt1", [io.Float.Input("float_x"), io.Float.Input("float_y")]),
io.DynamicCombo.Option("opt2", [io.Mask.Input("mask1", optional=True)]),
])
])]
)],
outputs=[io.AnyType.Output()],
)
@classmethod
def execute(cls, combo: DCValues) -> io.NodeOutput:
combo_val = combo["combo"]
if combo_val == "option1":
return io.NodeOutput(combo["string"])
elif combo_val == "option2":
return io.NodeOutput(combo["integer"])
elif combo_val == "option3":
return io.NodeOutput(combo["image"])
elif combo_val == "option4":
return io.NodeOutput(f"{combo['subcombo']}")
else:
raise ValueError(f"Invalid combo: {combo_val}")
class AutogrowNamesTestNode(io.ComfyNode):
@classmethod
def define_schema(cls):
template = _io.Autogrow.TemplateNames(input=io.Float.Input("float"), names=["a", "b", "c"])
return io.Schema(
node_id="AutogrowNamesTestNode",
display_name="AutogrowNamesTest",
category="logic",
inputs=[
_io.Autogrow.Input("autogrow", template=template)
],
outputs=[io.String.Output()],
)
@classmethod
def execute(cls, autogrow: _io.Autogrow.Type) -> io.NodeOutput:
vals = list(autogrow.values())
combined = ",".join([str(x) for x in vals])
return io.NodeOutput(combined)
class AutogrowPrefixTestNode(io.ComfyNode):
@classmethod
def define_schema(cls):
template = _io.Autogrow.TemplatePrefix(input=io.Float.Input("float"), prefix="float", min=1, max=10)
return io.Schema(
node_id="AutogrowPrefixTestNode",
display_name="AutogrowPrefixTest",
category="logic",
inputs=[
_io.Autogrow.Input("autogrow", template=template)
],
outputs=[io.String.Output()],
)
@classmethod
def execute(cls, autogrow: _io.Autogrow.Type) -> io.NodeOutput:
vals = list(autogrow.values())
combined = ",".join([str(x) for x in vals])
return io.NodeOutput(combined)
class ComboOutputTestNode(io.ComfyNode):
@classmethod
def define_schema(cls):
return io.Schema(
node_id="ComboOptionTestNode",
display_name="ComboOptionTest",
category="logic",
inputs=[io.Combo.Input("combo", options=["option1", "option2", "option3"]),
io.Combo.Input("combo2", options=["option4", "option5", "option6"])],
outputs=[io.Combo.Output(), io.Combo.Output()],
)
@classmethod
def execute(cls, combo: io.Combo.Type, combo2: io.Combo.Type) -> io.NodeOutput:
return io.NodeOutput(combo, combo2)
class ConvertStringToComboNode(io.ComfyNode):
@classmethod
def define_schema(cls):
return io.Schema(
node_id="ConvertStringToComboNode",
display_name="Convert String to Combo",
category="logic",
inputs=[io.String.Input("string")],
outputs=[io.Combo.Output()],
)
@classmethod
def execute(cls, string: str) -> io.NodeOutput:
return io.NodeOutput(string)
class InvertBooleanNode(io.ComfyNode):
@classmethod
def define_schema(cls):
return io.Schema(
node_id="InvertBooleanNode",
display_name="Invert Boolean",
category="logic",
inputs=[io.Boolean.Input("boolean")],
outputs=[io.Boolean.Output()],
)
@classmethod
def execute(cls, boolean: bool) -> io.NodeOutput:
return io.NodeOutput(not boolean)
class LogicExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[io.ComfyNode]]:
return [
SwitchNode,
CustomComboNode,
# SoftSwitchNode,
# ConvertStringToComboNode,
# DCTestNode,
# AutogrowNamesTestNode,
# AutogrowPrefixTestNode,
# ComboOutputTestNode,
# InvertBooleanNode,
]
async def comfy_entrypoint() -> LogicExtension:
return LogicExtension()