feat(nodes): move ConditioningFieldData to conditioning_data.py

invokeai/app/invocations/compel.py

@@ -5,7 +5,6 @@ from compel import Compel, ReturnedEmbeddingsType
 from compel.prompt_parser import Blend, Conjunction, CrossAttentionControlSubstitute, FlattenedPrompt, Fragment
 
 from invokeai.app.invocations.fields import (
-    ConditioningFieldData,
     FieldDescriptions,
     Input,
     InputField,
@@ -15,6 +14,7 @@ from invokeai.app.invocations.fields import (
 from invokeai.app.invocations.primitives import ConditioningOutput
 from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
     BasicConditioningInfo,
+    ConditioningFieldData,
     ExtraConditioningInfo,
     SDXLConditioningInfo,
 )

invokeai/app/invocations/fields.py

@@ -1,13 +1,11 @@
-from dataclasses import dataclass
 from enum import Enum
-from typing import Any, Callable, List, Optional, Tuple
+from typing import Any, Callable, Optional, Tuple
 
 from pydantic import BaseModel, ConfigDict, Field, RootModel, TypeAdapter
 from pydantic.fields import _Unset
 from pydantic_core import PydanticUndefined
 
 from invokeai.app.util.metaenum import MetaEnum
-from invokeai.backend.stable_diffusion.diffusion.conditioning_data import BasicConditioningInfo
 from invokeai.backend.util.logging import InvokeAILogger
 
 logger = InvokeAILogger.get_logger()
@@ -544,11 +542,6 @@ class ColorField(BaseModel):
         return (self.r, self.g, self.b, self.a)
 
 
-@dataclass
-class ConditioningFieldData:
-    conditionings: List[BasicConditioningInfo]
-
-
 class ConditioningField(BaseModel):
     """A conditioning tensor primitive value"""
 

invokeai/app/services/shared/invocation_context.py

@@ -6,7 +6,7 @@ from PIL.Image import Image
 from pydantic import ConfigDict
 from torch import Tensor
 
-from invokeai.app.invocations.fields import ConditioningFieldData, MetadataField, WithMetadata
+from invokeai.app.invocations.fields import MetadataField, WithMetadata
 from invokeai.app.services.config.config_default import InvokeAIAppConfig
 from invokeai.app.services.image_records.image_records_common import ImageCategory, ImageRecordChanges, ResourceOrigin
 from invokeai.app.services.images.images_common import ImageDTO
@@ -17,6 +17,7 @@ from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.model_manager import ModelInfo
 from invokeai.backend.model_management.models.base import BaseModelType, ModelType, SubModelType
 from invokeai.backend.stable_diffusion.diffusers_pipeline import PipelineIntermediateState
+from invokeai.backend.stable_diffusion.diffusion.conditioning_data import ConditioningFieldData
 
 if TYPE_CHECKING:
     from invokeai.app.invocations.baseinvocation import BaseInvocation

invokeai/backend/stable_diffusion/diffusion/conditioning_data.py

@@ -32,6 +32,11 @@ class BasicConditioningInfo:
         return self
 
 
+@dataclass
+class ConditioningFieldData:
+    conditionings: List[BasicConditioningInfo]
+
+
 @dataclass
 class SDXLConditioningInfo(BasicConditioningInfo):
     pooled_embeds: torch.Tensor