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