ComfyUI/comfy_execution/validation.py
Jedrzej Kosinski c120eee5ba
Add MatchType, DynamicCombo, and Autogrow support to V3 Schema (#10832)
* Added output_matchtypes to generated json for v3, initial backend support for MatchType, created nodes_logic.py and added SwitchNode

* Fixed providing list of allowed_types

* Add workaround in validation.py for V3 Combo outputs not working as Combo inputs

* Make match type receive_type pass validation

* Also add MatchType check to input_type in validation - will likely trigger when connecting to non-lazy stuff

* Make sure this PR only has MatchType stuff

* Initial work on DynamicCombo

* Add get_dynamic function, not yet filled out correctly

* Mark Switch node as Beta

* Make sure other unfinished dynamic types are not accidentally used

* Send DynamicCombo.Option inputs in the same format as normal v1 inputs

* add dynamic combo test node

* Support validation of inputs and outputs

* Add missing input params to DynamicCombo.Input

* Add get_all function to inputs for id validation purposes

* Fix imports for v3 returning everything when doing io/ui/IO/UI instead of what is in __all__ of _io.py and _ui.py

* Modifying behavior of get_dynamic in V3 + serialization so can be used in execution code

* Fix v3 schema validation code after changes

* Refactor hidden_values for v3 in execution.py to be more general v3_data, add helper functions for dynamic behavior, preparing for restructuring dynamic type into object (not finished yet)

* Add nesting of inputs on DynamicCombo during execution

* Work with latest frontend commits

* Fix cringe arrows

* frontend will no longer namespace dynamic inputs widgets so reflect that in code, refactor build_nested_inputs

* Prepare Autogrow support for the love of the game

* satisfy ruff

* Create test nodes for Autogrow to collab with frontend development

* Add nested combo to DCTestNode

* Remove array support from build_nested_inputs, properly handle missing expected values

* Make execution.validate_inputs properly validate required dynamic inputs, renamed dynamic_data to dynamic_paths for clarity

* MatchType does not need any DynamicInput/Output features on backend; will increase compatibility with  dynamic types

* Probably need this for ruff check

* Change MatchType to have template be the first and only required param; output id's do nothing right now, so no need

* Fix merge regression with LatentUpscaleModel type not being put in __all__ for _io.py, fix invalid type hint for validate_inputs

* Make Switch node inputs optional, disallow both inputs from being missing, and still work properly with lazy; when one input is missing, use the other no matter what the switch is set to

* Satisfy ruff

* Move MatchType code above the types that inherit from DynamicInput

* Add DynamicSlot type, awaiting frontend support

* Make curr_prefix creation happen in Autogrow, move curr_prefix in DynamicCombo to only be created if input exists in live_inputs

* I was confused, fixing accidentally redundant curr_prefix addition in Autogrow

* Make sure Autogrow inputs are force_input = True when WidgetInput, fix runtime validation by removing original input from expected inputs, fix min/max bounds, change test nodes slightly

* Remove unnecessary id usage in Autogrow test node outputs

* Commented out Switch node + test nodes

* Remove commented out code from Autogrow

* Make TemplatePrefix max more clear, allow max == 1

* Replace all dict[str] with dict[str, Any]

* Renamed add_to_dict_live_inputs to expand_schema_for_dynamic

* Fixed typo in DynamicSlot input code

* note about live_inputs not being present soon in get_v1_info (internal function anyway)

* For now, hide DynamicCombo and Autogrow from public interface

* Removed comment
2025-12-03 00:17:13 -05:00

46 lines
1.8 KiB
Python

from __future__ import annotations
from comfy_api.latest import IO
def validate_node_input(
received_type: str, input_type: str, strict: bool = False
) -> bool:
"""
received_type and input_type are both strings of the form "T1,T2,...".
If strict is True, the input_type must contain the received_type.
For example, if received_type is "STRING" and input_type is "STRING,INT",
this will return True. But if received_type is "STRING,INT" and input_type is
"INT", this will return False.
If strict is False, the input_type must have overlap with the received_type.
For example, if received_type is "STRING,BOOLEAN" and input_type is "STRING,INT",
this will return True.
Supports pre-union type extension behaviour of ``__ne__`` overrides.
"""
# If the types are exactly the same, we can return immediately
# Use pre-union behaviour: inverse of `__ne__`
if not received_type != input_type:
return True
# If the received type or input_type is a MatchType, we can return True immediately;
# validation for this is handled by the frontend
if received_type == IO.MatchType.io_type or input_type == IO.MatchType.io_type:
return True
# Not equal, and not strings
if not isinstance(received_type, str) or not isinstance(input_type, str):
return False
# Split the type strings into sets for comparison
received_types = set(t.strip() for t in received_type.split(","))
input_types = set(t.strip() for t in input_type.split(","))
if strict:
# In strict mode, all received types must be in the input types
return received_types.issubset(input_types)
else:
# In non-strict mode, there must be at least one type in common
return len(received_types.intersection(input_types)) > 0