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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,67 +1,82 @@ | ||
| import inspect | ||
| import typeguard | ||
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| from typing import Any, Tuple, Union | ||
| from strictly_typed_pandas import DataSet, IndexedDataSet | ||
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| def check_dataset(argname: str, value, expected_type, memo: typeguard.TypeCheckMemo) -> None: | ||
| schema_expected = expected_type.__args__[0] | ||
| def check_dataset(value: Any, origin_type: Any, args: Tuple[Any, ...], memo: typeguard.TypeCheckMemo) -> None: | ||
| schema_expected = args[0] | ||
| if not isinstance(value, DataSet): | ||
| msg = "Type of {argname} must be a DataSet[{schema_expected}]; got {class_observed} instead" | ||
| raise TypeError( | ||
| msg.format( | ||
| argname=argname, | ||
| msg = "Type must be a DataSet[{schema_expected}]; got {class_observed} instead".format( | ||
| schema_expected=typeguard.qualified_name(schema_expected), | ||
| class_observed=typeguard.qualified_name(value) | ||
| ) | ||
| ) | ||
| if memo.config.typecheck_fail_callback: | ||
| memo.config.typecheck_fail_callback(typeguard.TypeCheckError(msg), memo) | ||
| else: | ||
| raise TypeError(msg) | ||
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| schema_observed = value.__orig_class__.__args__[0] | ||
| if schema_observed != schema_expected: | ||
| msg = "Type of {argname} must be a DataSet[{schema_expected}]; got DataSet[{schema_observed}] instead" | ||
| raise TypeError( | ||
| msg.format( | ||
| argname=argname, | ||
| msg = "Type must be a DataSet[{schema_expected}]; got DataSet[{schema_observed}] instead".format( | ||
| schema_expected=typeguard.qualified_name(schema_expected), | ||
| schema_observed=typeguard.qualified_name(schema_observed) | ||
| ) | ||
| ) | ||
| if memo.config.typecheck_fail_callback: | ||
| memo.config.typecheck_fail_callback(typeguard.TypeCheckError(msg), memo) | ||
| else: | ||
| raise TypeError(msg) | ||
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| def check_indexed_dataset(argname: str, value, expected_type, memo: typeguard.TypeCheckMemo): | ||
| schema_index_expected = expected_type.__args__[0] | ||
| schema_data_expected = expected_type.__args__[1] | ||
| def check_indexed_dataset(value: Any, origin_type: Any, args: Tuple[Any, ...], memo: typeguard.TypeCheckMemo) -> None: | ||
| schema_index_expected = args[0] | ||
| schema_data_expected = args[1] | ||
| if not isinstance(value, IndexedDataSet): | ||
| msg = ( | ||
| "Type of {argname} must be a IndexedDataSet[{schema_index_expected},{schema_data_expected}];" + | ||
| "Type must be a IndexedDataSet[{schema_index_expected},{schema_data_expected}];" + | ||
| "got {class_observed} instead" | ||
| ) | ||
| raise TypeError( | ||
| msg.format( | ||
| argname=argname, | ||
| ).format( | ||
| schema_index_expected=typeguard.qualified_name(schema_index_expected), | ||
| schema_data_expected=typeguard.qualified_name(schema_data_expected), | ||
| class_observed=typeguard.qualified_name(value) | ||
| ) | ||
| ) | ||
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| if memo.config.typecheck_fail_callback: | ||
| memo.config.typecheck_fail_callback(typeguard.TypeCheckError(msg), memo) | ||
| else: | ||
| raise TypeError(msg) | ||
|
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| schema_index_observed = value.__orig_class__.__args__[0] | ||
| schema_data_observed = value.__orig_class__.__args__[1] | ||
| if schema_index_observed != schema_index_expected or schema_data_observed != schema_data_expected: | ||
| msg = ( | ||
| "Type of {argname} must be a IndexedDataSet[{schema_index_expected},{schema_data_expected}];" + | ||
| "Type must be a IndexedDataSet[{schema_index_expected},{schema_data_expected}];" + | ||
| "got IndexedDataSet[{schema_index_observed},{schema_data_observed}] instead" | ||
| ).format( | ||
| schema_index_expected=typeguard.qualified_name(schema_index_expected), | ||
| schema_data_expected=typeguard.qualified_name(schema_data_expected), | ||
| schema_index_observed=typeguard.qualified_name(schema_index_observed), | ||
| schema_data_observed=typeguard.qualified_name(schema_data_observed) | ||
| ) | ||
| raise TypeError( | ||
| msg.format( | ||
| argname=argname, | ||
| schema_index_expected=typeguard.qualified_name(schema_index_expected), | ||
| schema_data_expected=typeguard.qualified_name(schema_data_expected), | ||
| schema_index_observed=typeguard.qualified_name(schema_index_observed), | ||
| schema_data_observed=typeguard.qualified_name(schema_data_observed) | ||
| ) | ||
| ) | ||
| if memo.config.typecheck_fail_callback: | ||
| memo.config.typecheck_fail_callback(typeguard.TypeCheckError(msg), memo) | ||
| else: | ||
| raise TypeError(msg) | ||
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| def check_dataset_lookup(origin_type: Any, | ||
| args: Tuple[Any, ...], extras: Tuple[Any, ...]) -> Union[typeguard.TypeCheckerCallable, None]: | ||
|
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| if not inspect.isclass(origin_type): | ||
| return None | ||
|
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| if issubclass(origin_type, DataSet): | ||
| return check_dataset | ||
| if issubclass(origin_type, IndexedDataSet): | ||
| return check_indexed_dataset | ||
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| return None | ||
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| typeguard._checkers.origin_type_checkers[DataSet] = check_dataset | ||
| typeguard._checkers.origin_type_checkers[IndexedDataSet] = check_indexed_dataset | ||
| typeguard.checker_lookup_functions.append(check_dataset_lookup) | ||
| typechecked = typeguard.typechecked |