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63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
from types import UnionType
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from typing import Any, get_args, get_origin
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from pydantic import BaseModel
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from pydantic.fields import FieldInfo
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OH_DEFAULT_AGENT = 'CodeActAgent'
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OH_MAX_ITERATIONS = 500
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def get_field_info(field: FieldInfo) -> dict[str, Any]:
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"""Extract information about a dataclass field: type, optional, and default.
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Args:
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field: The field to extract information from.
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Returns: A dict with the field's type, whether it's optional, and its default value.
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"""
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field_type = field.annotation
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optional = False
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# for types like str | None, find the non-None type and set optional to True
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# this is useful for the frontend to know if a field is optional
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# and to show the correct type in the UI
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# Note: this only works for UnionTypes with None as one of the types
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if get_origin(field_type) is UnionType:
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types = get_args(field_type)
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non_none_arg = next(
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(t for t in types if t is not None and t is not type(None)), None
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)
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if non_none_arg is not None:
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field_type = non_none_arg
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optional = True
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# type name in a pretty format
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type_name = (
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str(field_type)
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if field_type is None
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else (
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field_type.__name__ if hasattr(field_type, '__name__') else str(field_type)
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)
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)
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# default is always present
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default = field.default
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# return a schema with the useful info for frontend
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return {'type': type_name.lower(), 'optional': optional, 'default': default}
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def model_defaults_to_dict(model: BaseModel) -> dict[str, Any]:
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"""Serialize field information in a dict for the frontend, including type hints, defaults, and whether it's optional."""
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result = {}
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for name, field in model.model_fields.items():
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field_value = getattr(model, name)
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if isinstance(field_value, BaseModel):
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result[name] = model_defaults_to_dict(field_value)
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else:
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result[name] = get_field_info(field)
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return result
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