mirror of
https://github.com/vladmandic/automatic
synced 2026-09-20 01:31:13 +02:00
modernize typing
This commit is contained in:
Vladimir Mandic
+120
-82
@@ -1,7 +1,15 @@
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import re
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import inspect
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from typing import Any, Optional, Dict, List, Type, Callable, Union
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from pydantic import BaseModel, Field, create_model # pylint: disable=no-name-in-module
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from typing import Any, Optional, Union
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from collections.abc import Callable
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import pydantic
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from pydantic import BaseModel, Field, create_model
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try:
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from pydantic import ConfigDict
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PYDANTIC_V2 = True
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except ImportError:
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ConfigDict = None
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PYDANTIC_V2 = False
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from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img
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import modules.shared as shared
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@@ -41,8 +49,10 @@ class PydanticModelGenerator:
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model_name: str = None,
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class_instance = None,
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additional_fields = None,
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exclude_fields: List = [],
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exclude_fields: list = None,
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):
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if exclude_fields is None:
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exclude_fields = []
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def field_type_generator(_k, v):
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field_type = v.annotation
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return Optional[field_type]
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@@ -80,12 +90,15 @@ class PydanticModelGenerator:
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def generate_model(self):
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model_fields = { d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias, exclude=d.field_exclude)) for d in self._model_def }
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DynamicModel = create_model(self._model_name, **model_fields)
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try:
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DynamicModel.__config__.allow_population_by_field_name = True
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DynamicModel.__config__.allow_mutation = True
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except Exception:
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pass
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if PYDANTIC_V2:
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config = ConfigDict(arbitrary_types_allowed=True, from_attributes=True, populate_by_name=True)
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else:
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class Config:
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arbitrary_types_allowed = True
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orm_mode = True
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allow_population_by_field_name = True
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config = Config
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DynamicModel = create_model(self._model_name, __config__=config, **model_fields)
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return DynamicModel
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### item classes
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@@ -100,49 +113,49 @@ class ItemVae(BaseModel):
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class ItemUpscaler(BaseModel):
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name: str = Field(title="Name")
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model_name: Optional[str] = Field(title="Model Name")
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model_path: Optional[str] = Field(title="Path")
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model_url: Optional[str] = Field(title="URL")
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scale: Optional[float] = Field(title="Scale")
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model_name: str | None = Field(title="Model Name")
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model_path: str | None = Field(title="Path")
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model_url: str | None = Field(title="URL")
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scale: float | None = Field(title="Scale")
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class ItemModel(BaseModel):
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title: str = Field(title="Title")
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model_name: str = Field(title="Model Name")
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filename: str = Field(title="Filename")
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type: str = Field(title="Model type")
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sha256: Optional[str] = Field(title="SHA256 hash")
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hash: Optional[str] = Field(title="Short hash")
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config: Optional[str] = Field(title="Config file")
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sha256: str | None = Field(title="SHA256 hash")
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hash: str | None = Field(title="Short hash")
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config: str | None = Field(title="Config file")
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class ItemHypernetwork(BaseModel):
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name: str = Field(title="Name")
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path: Optional[str] = Field(title="Path")
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path: str | None = Field(title="Path")
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class ItemDetailer(BaseModel):
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name: str = Field(title="Name")
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path: Optional[str] = Field(title="Path")
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path: str | None = Field(title="Path")
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class ItemGAN(BaseModel):
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name: str = Field(title="Name")
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path: Optional[str] = Field(title="Path")
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scale: Optional[int] = Field(title="Scale")
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path: str | None = Field(title="Path")
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scale: int | None = Field(title="Scale")
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class ItemStyle(BaseModel):
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name: str = Field(title="Name")
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prompt: Optional[str] = Field(title="Prompt")
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negative_prompt: Optional[str] = Field(title="Negative Prompt")
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extra: Optional[str] = Field(title="Extra")
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filename: Optional[str] = Field(title="Filename")
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preview: Optional[str] = Field(title="Preview")
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prompt: str | None = Field(title="Prompt")
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negative_prompt: str | None = Field(title="Negative Prompt")
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extra: str | None = Field(title="Extra")
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filename: str | None = Field(title="Filename")
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preview: str | None = Field(title="Preview")
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class ItemExtraNetwork(BaseModel):
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name: str = Field(title="Name")
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type: str = Field(title="Type")
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title: Optional[str] = Field(title="Title")
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fullname: Optional[str] = Field(title="Fullname")
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filename: Optional[str] = Field(title="Filename")
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hash: Optional[str] = Field(title="Hash")
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preview: Optional[str] = Field(title="Preview image URL")
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title: str | None = Field(title="Title")
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fullname: str | None = Field(title="Fullname")
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filename: str | None = Field(title="Filename")
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hash: str | None = Field(title="Hash")
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preview: str | None = Field(title="Preview image URL")
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class ItemArtist(BaseModel):
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name: str = Field(title="Name")
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@@ -150,16 +163,16 @@ class ItemArtist(BaseModel):
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category: str = Field(title="Category")
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class ItemEmbedding(BaseModel):
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step: Optional[int] = Field(title="Step", description="The number of steps that were used to train this embedding, if available")
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sd_checkpoint: Optional[str] = Field(title="SD Checkpoint", description="The hash of the checkpoint this embedding was trained on, if available")
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sd_checkpoint_name: Optional[str] = Field(title="SD Checkpoint Name", description="The name of the checkpoint this embedding was trained on, if available. Note that this is the name that was used by the trainer; for a stable identifier, use `sd_checkpoint` instead")
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step: int | None = Field(title="Step", description="The number of steps that were used to train this embedding, if available")
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sd_checkpoint: str | None = Field(title="SD Checkpoint", description="The hash of the checkpoint this embedding was trained on, if available")
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sd_checkpoint_name: str | None = Field(title="SD Checkpoint Name", description="The name of the checkpoint this embedding was trained on, if available. Note that this is the name that was used by the trainer; for a stable identifier, use `sd_checkpoint` instead")
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shape: int = Field(title="Shape", description="The length of each individual vector in the embedding")
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vectors: int = Field(title="Vectors", description="The number of vectors in the embedding")
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class ItemIPAdapter(BaseModel):
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adapter: str = Field(title="Adapter", default="Base", description="IP adapter name")
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images: List[str] = Field(title="Image", default=[], description="IP adapter input images")
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masks: Optional[List[str]] = Field(title="Mask", default=[], description="IP adapter mask images")
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images: list[str] = Field(title="Image", default=[], description="IP adapter input images")
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masks: list[str] | None = Field(title="Mask", default=[], description="IP adapter mask images")
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scale: float = Field(title="Scale", default=0.5, ge=0, le=1, description="IP adapter scale")
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start: float = Field(title="Start", default=0.0, ge=0, le=1, description="IP adapter start step")
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end: float = Field(title="End", default=1.0, gt=0, le=1, description="IP adapter end step")
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@@ -183,17 +196,17 @@ class ItemFace(BaseModel):
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class ScriptArg(BaseModel):
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label: str = Field(default=None, title="Label", description="Name of the argument in UI")
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value: Optional[Any] = Field(default=None, title="Value", description="Default value of the argument")
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minimum: Optional[Any] = Field(default=None, title="Minimum", description="Minimum allowed value for the argumentin UI")
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maximum: Optional[Any] = Field(default=None, title="Minimum", description="Maximum allowed value for the argumentin UI")
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step: Optional[Any] = Field(default=None, title="Minimum", description="Step for changing value of the argumentin UI")
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choices: Optional[Any] = Field(default=None, title="Choices", description="Possible values for the argument")
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value: Any | None = Field(default=None, title="Value", description="Default value of the argument")
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minimum: Any | None = Field(default=None, title="Minimum", description="Minimum allowed value for the argumentin UI")
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maximum: Any | None = Field(default=None, title="Minimum", description="Maximum allowed value for the argumentin UI")
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step: Any | None = Field(default=None, title="Minimum", description="Step for changing value of the argumentin UI")
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choices: Any | None = Field(default=None, title="Choices", description="Possible values for the argument")
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class ItemScript(BaseModel):
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name: str = Field(default=None, title="Name", description="Script name")
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is_alwayson: bool = Field(default=None, title="IsAlwayson", description="Flag specifying whether this script is an alwayson script")
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is_img2img: bool = Field(default=None, title="IsImg2img", description="Flag specifying whether this script is an img2img script")
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args: List[ScriptArg] = Field(title="Arguments", description="List of script's arguments")
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args: list[ScriptArg] = Field(title="Arguments", description="List of script's arguments")
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class ItemExtension(BaseModel):
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name: str = Field(title="Name", description="Extension name")
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@@ -201,13 +214,13 @@ class ItemExtension(BaseModel):
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branch: str = Field(default="uknnown", title="Branch", description="Extension Repository Branch")
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commit_hash: str = Field(title="Commit Hash", description="Extension Repository Commit Hash")
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version: str = Field(title="Version", description="Extension Version")
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commit_date: Union[str, int] = Field(title="Commit Date", description="Extension Repository Commit Date")
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commit_date: str | int = Field(title="Commit Date", description="Extension Repository Commit Date")
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enabled: bool = Field(title="Enabled", description="Flag specifying whether this extension is enabled")
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class ItemScheduler(BaseModel):
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name: str = Field(title="Name", description="Scheduler name")
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cls: str = Field(title="Class", description="Scheduler class name")
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options: Dict[str, Any] = Field(title="Options", description="Dictionary of scheduler options")
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options: dict[str, Any] = Field(title="Options", description="Dictionary of scheduler options")
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### request/response classes
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@@ -223,7 +236,7 @@ ReqTxt2Img = PydanticModelGenerator(
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{"key": "send_images", "type": bool, "default": True},
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{"key": "save_images", "type": bool, "default": False},
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{"key": "alwayson_scripts", "type": dict, "default": {}},
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{"key": "ip_adapter", "type": Optional[List[ItemIPAdapter]], "default": None, "exclude": True},
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{"key": "ip_adapter", "type": Optional[list[ItemIPAdapter]], "default": None, "exclude": True},
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{"key": "face", "type": Optional[ItemFace], "default": None, "exclude": True},
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{"key": "extra", "type": Optional[dict], "default": {}, "exclude": True},
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]
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@@ -233,7 +246,7 @@ if not hasattr(ReqTxt2Img, "__config__"):
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StableDiffusionTxt2ImgProcessingAPI = ReqTxt2Img
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class ResTxt2Img(BaseModel):
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images: List[str] = Field(default=None, title="Image", description="The generated images in base64 format.")
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images: list[str] = Field(default=None, title="Image", description="The generated images in base64 format.")
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parameters: dict
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info: str
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@@ -253,7 +266,7 @@ ReqImg2Img = PydanticModelGenerator(
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{"key": "send_images", "type": bool, "default": True},
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{"key": "save_images", "type": bool, "default": False},
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{"key": "alwayson_scripts", "type": dict, "default": {}},
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{"key": "ip_adapter", "type": Optional[List[ItemIPAdapter]], "default": None, "exclude": True},
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{"key": "ip_adapter", "type": Optional[list[ItemIPAdapter]], "default": None, "exclude": True},
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{"key": "face_id", "type": Optional[ItemFace], "default": None, "exclude": True},
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{"key": "extra", "type": Optional[dict], "default": {}, "exclude": True},
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]
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@@ -263,7 +276,7 @@ if not hasattr(ReqImg2Img, "__config__"):
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StableDiffusionImg2ImgProcessingAPI = ReqImg2Img
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class ResImg2Img(BaseModel):
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images: List[str] = Field(default=None, title="Image", description="The generated images in base64 format.")
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images: list[str] = Field(default=None, title="Image", description="The generated images in base64 format.")
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parameters: dict
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info: str
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@@ -289,9 +302,9 @@ class ResProcess(BaseModel):
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class ReqPromptEnhance(BaseModel):
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prompt: str = Field(title="Prompt", description="Prompt to enhance")
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type: str = Field(title="Type", default='text', description="Type of enhancement to perform")
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model: Optional[str] = Field(title="Model", default=None, description="Model to use for enhancement")
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system_prompt: Optional[str] = Field(title="System prompt", default=None, description="Model system prompt")
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image: Optional[str] = Field(title="Image", default=None, description="Image to work on, must be a Base64 string containing the image's data.")
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model: str | None = Field(title="Model", default=None, description="Model to use for enhancement")
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system_prompt: str | None = Field(title="System prompt", default=None, description="Model system prompt")
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image: str | None = Field(title="Image", default=None, description="Image to work on, must be a Base64 string containing the image's data.")
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seed: int = Field(title="Seed", default=-1, description="Seed used to generate the prompt")
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nsfw: bool = Field(title="NSFW", default=True, description="Should NSFW content be allowed?")
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@@ -306,10 +319,10 @@ class ResProcessImage(ResProcess):
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image: str = Field(default=None, title="Image", description="The generated image in base64 format.")
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class ReqProcessBatch(ReqProcess):
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imageList: List[FileData] = Field(title="Images", description="List of images to work on. Must be Base64 strings")
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imageList: list[FileData] = Field(title="Images", description="List of images to work on. Must be Base64 strings")
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class ResProcessBatch(ResProcess):
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images: List[str] = Field(title="Images", description="The generated images in base64 format.")
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images: list[str] = Field(title="Images", description="The generated images in base64 format.")
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class ReqImageInfo(BaseModel):
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image: str = Field(title="Image", description="The base64 encoded image")
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@@ -325,38 +338,38 @@ class ReqGetLog(BaseModel):
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class ReqPostLog(BaseModel):
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message: Optional[str] = Field(default=None, title="Message", description="The info message to log")
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debug: Optional[str] = Field(default=None, title="Debug message", description="The debug message to log")
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error: Optional[str] = Field(default=None, title="Error message", description="The error message to log")
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message: str | None = Field(default=None, title="Message", description="The info message to log")
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debug: str | None = Field(default=None, title="Debug message", description="The debug message to log")
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error: str | None = Field(default=None, title="Error message", description="The error message to log")
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class ReqHistory(BaseModel):
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id: Union[int, str, None] = Field(default=None, title="Task ID", description="Task ID")
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id: int | str | None = Field(default=None, title="Task ID", description="Task ID")
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class ReqProgress(BaseModel):
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skip_current_image: bool = Field(default=False, title="Skip current image", description="Skip current image serialization")
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class ResProgress(BaseModel):
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id: Union[int, str, None] = Field(title="TaskID", description="Task ID")
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id: int | str | None = Field(title="TaskID", description="Task ID")
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progress: float = Field(title="Progress", description="The progress with a range of 0 to 1")
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eta_relative: float = Field(title="ETA in secs")
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state: dict = Field(title="State", description="The current state snapshot")
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current_image: Optional[str] = Field(default=None, title="Current image", description="The current image in base64 format. opts.show_progress_every_n_steps is required for this to work.")
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textinfo: Optional[str] = Field(default=None, title="Info text", description="Info text used by WebUI.")
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current_image: str | None = Field(default=None, title="Current image", description="The current image in base64 format. opts.show_progress_every_n_steps is required for this to work.")
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textinfo: str | None = Field(default=None, title="Info text", description="Info text used by WebUI.")
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class ResHistory(BaseModel):
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id: Union[int, str, None] = Field(title="ID", description="Task ID")
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id: int | str | None = Field(title="ID", description="Task ID")
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job: str = Field(title="Job", description="Job name")
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op: str = Field(title="Operation", description="Job state")
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timestamp: Union[float, None] = Field(title="Timestamp", description="Job timestamp")
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duration: Union[float, None] = Field(title="Duration", description="Job duration")
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outputs: List[str] = Field(title="Outputs", description="List of filenames")
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timestamp: float | None = Field(title="Timestamp", description="Job timestamp")
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duration: float | None = Field(title="Duration", description="Job duration")
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outputs: list[str] = Field(title="Outputs", description="List of filenames")
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class ResStatus(BaseModel):
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status: str = Field(title="Status", description="Current status")
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task: str = Field(title="Task", description="Current job")
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timestamp: Optional[str] = Field(title="Timestamp", description="Timestamp of the current job")
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timestamp: str | None = Field(title="Timestamp", description="Timestamp of the current job")
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current: str = Field(title="Task", description="Current job")
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id: Union[int, str, None] = Field(title="ID", description="ID of the current task")
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id: int | str | None = Field(title="ID", description="ID of the current task")
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job: int = Field(title="Job", description="Current job")
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jobs: int = Field(title="Jobs", description="Total jobs")
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total: int = Field(title="Total Jobs", description="Total jobs")
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@@ -364,9 +377,9 @@ class ResStatus(BaseModel):
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steps: int = Field(title="Steps", description="Total steps")
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queued: int = Field(title="Queued", description="Number of queued tasks")
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uptime: int = Field(title="Uptime", description="Uptime of the server")
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elapsed: Optional[float] = Field(default=None, title="Elapsed time")
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eta: Optional[float] = Field(default=None, title="ETA in secs")
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progress: Optional[float] = Field(default=None, title="Progress", description="The progress with a range of 0 to 1")
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elapsed: float | None = Field(default=None, title="Elapsed time")
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eta: float | None = Field(default=None, title="ETA in secs")
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progress: float | None = Field(default=None, title="Progress", description="The progress with a range of 0 to 1")
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class ReqLatentHistory(BaseModel):
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name: str = Field(title="Name", description="Name of the history item to select")
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@@ -392,7 +405,15 @@ for key, metadata in shared.opts.data_labels.items():
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else:
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fields.update({key: (Optional[optType], Field())})
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OptionsModel = create_model("Options", **fields)
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if PYDANTIC_V2:
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config = ConfigDict(arbitrary_types_allowed=True, from_attributes=True, populate_by_name=True)
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else:
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class Config:
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arbitrary_types_allowed = True
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orm_mode = True
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allow_population_by_field_name = True
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config = Config
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OptionsModel = create_model("Options", __config__=config, **fields)
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flags = {}
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_options = vars(shared.parser)['_option_string_actions']
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@@ -404,7 +425,15 @@ for key in _options:
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_type = type(_options[key].default)
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flags.update({flag.dest: (_type, Field(default=flag.default, description=flag.help))})
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FlagsModel = create_model("Flags", **flags)
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if PYDANTIC_V2:
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config = ConfigDict(arbitrary_types_allowed=True, from_attributes=True, populate_by_name=True)
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else:
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class Config:
|
||||
arbitrary_types_allowed = True
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orm_mode = True
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allow_population_by_field_name = True
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config = Config
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FlagsModel = create_model("Flags", __config__=config, **flags)
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class ResEmbeddings(BaseModel):
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loaded: list = Field(default=None, title="loaded", description="List of loaded embeddings")
|
||||
@@ -426,9 +455,13 @@ class ResGPU(BaseModel): # definition of http response
|
||||
|
||||
# helper function
|
||||
|
||||
def create_model_from_signature(func: Callable, model_name: str, base_model: Type[BaseModel] = BaseModel, additional_fields: List = [], exclude_fields: List[str] = []) -> type[BaseModel]:
|
||||
def create_model_from_signature(func: Callable, model_name: str, base_model: type[BaseModel] = BaseModel, additional_fields: list = None, exclude_fields: list[str] = None) -> type[BaseModel]:
|
||||
from PIL import Image
|
||||
|
||||
if exclude_fields is None:
|
||||
exclude_fields = []
|
||||
if additional_fields is None:
|
||||
additional_fields = []
|
||||
class Config:
|
||||
extra = 'allow'
|
||||
|
||||
@@ -443,13 +476,13 @@ def create_model_from_signature(func: Callable, model_name: str, base_model: Typ
|
||||
defaults = (...,) * non_default_args + defaults
|
||||
keyword_only_params = {param: kwonlydefaults.get(param, Any) for param in kwonlyargs}
|
||||
for k, v in annotations.items():
|
||||
if v == List[Image.Image]:
|
||||
annotations[k] = List[str]
|
||||
if v == list[Image.Image]:
|
||||
annotations[k] = list[str]
|
||||
elif v == Image.Image:
|
||||
annotations[k] = str
|
||||
elif str(v) == 'typing.List[modules.control.unit.Unit]':
|
||||
annotations[k] = List[str]
|
||||
model_fields = {param: (annotations.get(param, Any), default) for param, default in zip(args, defaults)}
|
||||
annotations[k] = list[str]
|
||||
model_fields = {param: (annotations.get(param, Any), default) for param, default in zip(args, defaults, strict=False)}
|
||||
|
||||
for fld in additional_fields:
|
||||
model_def = ModelDef(
|
||||
@@ -464,16 +497,21 @@ def create_model_from_signature(func: Callable, model_name: str, base_model: Typ
|
||||
if fld in model_fields:
|
||||
del model_fields[fld]
|
||||
|
||||
if PYDANTIC_V2:
|
||||
config = ConfigDict(arbitrary_types_allowed=True, from_attributes=True, populate_by_name=True, extra='allow' if varkw else 'ignore')
|
||||
else:
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
orm_mode = True
|
||||
allow_population_by_field_name = True
|
||||
extra = 'allow' if varkw else 'ignore'
|
||||
config = Config
|
||||
|
||||
model = create_model(
|
||||
model_name,
|
||||
**model_fields,
|
||||
**keyword_only_params,
|
||||
__base__=base_model,
|
||||
__config__=config,
|
||||
**model_fields,
|
||||
**keyword_only_params,
|
||||
)
|
||||
try:
|
||||
model.__config__.allow_population_by_field_name = True
|
||||
model.__config__.allow_mutation = True
|
||||
except Exception:
|
||||
pass
|
||||
return model
|
||||
|
||||
Reference in New Issue
Block a user