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40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
from dataclasses import fields, is_dataclass
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from typing import *
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def dataclass_from_flat_list(cls: type, values: Tuple[Any, ...]) -> Any:
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if not is_dataclass(cls):
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raise TypeError(f"{cls} is not a dataclass")
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idx = 0
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init_values = {}
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for field in fields(cls):
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if is_dataclass(field.type):
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inner_values = [values[idx + i] for i in range(len(fields(field.type)))]
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init_values[field.name] = field.type(*inner_values)
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idx += len(inner_values)
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else:
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value = values[idx]
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init_values[field.name] = value
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idx += 1
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return cls(**init_values)
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def dataclasses_from_flat_list(
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classes_mapping: List[type], values: Tuple[Any, ...]
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) -> List[Any]:
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instances = []
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idx = 0
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for cls in classes_mapping:
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num_fields = sum(
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len(fields(field.type)) if is_dataclass(field.type) else 1
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for field in fields(cls)
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)
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instance = dataclass_from_flat_list(cls, values[idx : idx + num_fields])
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instances.append(instance)
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idx += num_fields
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assert [
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isinstance(i, t) for i, t in zip(instances, classes_mapping)
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], "Instances should match types"
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return instances
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