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chore: import upstream snapshot with attribution
2026-07-13 13:00:43 +08:00

39 lines
1.2 KiB
Python

"""Validated request config for the math animator capability."""
from __future__ import annotations
from typing import Any, Literal
from pydantic import BaseModel, ConfigDict, Field, ValidationError
class MathAnimatorRequestConfig(BaseModel):
model_config = ConfigDict(extra="forbid")
output_mode: Literal["video", "image"] = "video"
quality: Literal["low", "medium", "high"] = "medium"
style_hint: str = Field(default="", max_length=500)
def validate_math_animator_request_config(
raw_config: dict[str, Any] | None,
) -> MathAnimatorRequestConfig:
if raw_config is None:
return MathAnimatorRequestConfig()
if not isinstance(raw_config, dict):
raise ValueError("Math animator config must be an object.")
try:
return MathAnimatorRequestConfig.model_validate(raw_config)
except ValidationError as exc:
details = "; ".join(
f"{'.'.join(str(part) for part in error['loc'])}: {error['msg']}"
for error in exc.errors()
)
raise ValueError(f"Invalid math animator config: {details}") from exc
__all__ = [
"MathAnimatorRequestConfig",
"validate_math_animator_request_config",
]