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How to use _get_dtype_kwargs method in pandera

Best Python code snippet using pandera_python

model.py

Source:model.py

...241                        "Cannot specify redundant 'dtype_kwargs' "242                        + f"for {annotation.raw_annotation}."243                        + "\n Usage Tip: Drop 'typing.Annotated'."244                    )245                dtype_kwargs = _get_dtype_kwargs(annotation)246                dtype = annotation.arg(**dtype_kwargs)  # type: ignore247            elif annotation.default_dtype:248                dtype = annotation.default_dtype249            else:250                dtype = annotation.arg251            dtype = None if dtype is Any else dtype252            if (253                annotation.origin in SERIES_TYPES254                or annotation.raw_annotation in SERIES_TYPES255            ):256                col_constructor = (257                    field.to_column if field else schema_components.Column258                )259                if check_name is False:260                    raise SchemaInitError(261                        f"'check_name' is not supported for {field_name}."262                    )263                columns[field_name] = col_constructor(  # type: ignore264                    dtype,265                    required=not annotation.optional,266                    checks=field_checks,267                    name=field_name,268                )269            elif (270                annotation.origin in INDEX_TYPES271                or annotation.raw_annotation in INDEX_TYPES272            ):273                if annotation.optional:274                    raise SchemaInitError(275                        f"Index '{field_name}' cannot be Optional."276                    )277                if check_name is False or (278                    # default single index279                    check_name is None280                    and index_count == 1281                ):282                    field_name = None  # type:ignore283                index_constructor = (284                    field.to_index if field else schema_components.Index285                )286                index = index_constructor(  # type: ignore287                    dtype, checks=field_checks, name=field_name288                )289                indices.append(index)290            else:291                raise SchemaInitError(292                    f"Invalid annotation '{field_name}: "293                    f"{annotation.raw_annotation}'"294                )295        return columns, _build_schema_index(indices, **multiindex_kwargs)296    @classmethod297    def _get_model_attrs(cls) -> Dict[str, Any]:298        """Return all attributes.299        Similar to inspect.get_members but bypass descriptors __get__.300        """301        bases = inspect.getmro(cls)[:-1]  # bases -> SchemaModel -> object302        attrs = {}303        for base in reversed(bases):304            attrs.update(base.__dict__)305        return attrs306    @classmethod307    def _collect_fields(cls) -> Dict[str, Tuple[AnnotationInfo, FieldInfo]]:308        """Centralize publicly named fields and their corresponding annotations."""309        annotations = get_type_hints(  # pylint:disable=unexpected-keyword-arg310            cls, include_extras=True311        )312        attrs = cls._get_model_attrs()313        missing = []314        for name, attr in attrs.items():315            if inspect.isroutine(attr):316                continue317            if not _is_field(name):318                annotations.pop(name, None)319            elif name not in annotations:320                missing.append(name)321        if missing:322            raise SchemaInitError(f"Found missing annotations: {missing}")323        fields = {}324        for field_name, annotation in annotations.items():325            field = attrs[field_name]  # __init_subclass__ guarantees existence326            if not isinstance(field, FieldInfo):327                raise SchemaInitError(328                    f"'{field_name}' can only be assigned a 'Field', "329                    + f"not a '{type(field)}.'"330                )331            fields[field.name] = (AnnotationInfo(annotation), field)332        return fields333    @classmethod334    def _collect_config_and_extras(335        cls,336    ) -> Tuple[Type[BaseConfig], Dict[str, Any]]:337        """Collect config options from bases, splitting off unknown options."""338        bases = inspect.getmro(cls)[:-1]339        bases = typing.cast(Tuple[Type[SchemaModel]], bases)340        root_model, *models = reversed(bases)341        options, extras = _extract_config_options_and_extras(root_model.Config)342        for model in models:343            config = getattr(model, _CONFIG_KEY, {})344            base_options, base_extras = _extract_config_options_and_extras(345                config346            )347            options.update(base_options)348            extras.update(base_extras)349        return type("Config", (BaseConfig,), options), extras350    @classmethod351    def _collect_check_infos(cls, key: str) -> List[CheckInfo]:352        """Collect inherited check metadata from bases.353        Inherited classmethods are not in cls.__dict__, that's why we need to354        walk the inheritance tree.355        """356        bases = inspect.getmro(cls)[:-2]  # bases -> SchemaModel -> object357        bases = typing.cast(Tuple[Type[SchemaModel]], bases)358        method_names = set()359        check_infos = []360        for base in bases:361            for attr_name, attr_value in vars(base).items():362                check_info = getattr(attr_value, key, None)363                if not isinstance(check_info, CheckInfo):364                    continue365                if attr_name in method_names:  # check overridden by subclass366                    continue367                method_names.add(attr_name)368                check_infos.append(check_info)369        return check_infos370    @classmethod371    def _extract_checks(372        cls, check_infos: List[FieldCheckInfo], field_names: List[str]373    ) -> Dict[str, List[Check]]:374        """Collect field annotations from bases in mro reverse order."""375        checks: Dict[str, List[Check]] = {}376        for check_info in check_infos:377            check_info_fields = {378                field.name if isinstance(field, FieldInfo) else field379                for field in check_info.fields380            }381            if check_info.regex:382                matched = _regex_filter(field_names, check_info_fields)383            else:384                matched = check_info_fields385            check_ = check_info.to_check(cls)386            for field in matched:387                if field not in field_names:388                    raise SchemaInitError(389                        f"Check {check_.name} is assigned to a non-existing field '{field}'."390                    )391                if field not in checks:392                    checks[field] = []393                checks[field].append(check_)394        return checks395    @classmethod396    def _extract_df_checks(cls, check_infos: List[CheckInfo]) -> List[Check]:397        """Collect field annotations from bases in mro reverse order."""398        return [check_info.to_check(cls) for check_info in check_infos]399    @classmethod400    def __get_validators__(cls):401        yield cls._pydantic_validate402    @classmethod403    def _pydantic_validate(cls, schema_model: Any) -> "SchemaModel":404        """Verify that the input is a compatible schema model."""405        if not inspect.isclass(schema_model):  # type: ignore406            raise TypeError(f"{schema_model} is not a pandera.SchemaModel")407        if not issubclass(schema_model, cls):  # type: ignore408            raise TypeError(f"{schema_model} does not inherit {cls}.")409        try:410            schema_model.to_schema()411        except SchemaInitError as exc:412            raise ValueError(413                f"Cannot use {cls} as a pydantic type as its "414                "SchemaModel cannot be converted to a DataFrameSchema.\n"415                f"Please revisit the model to address the following errors:"416                f"\n{exc}"417            ) from exc418        return cast("SchemaModel", schema_model)419    @classmethod420    def __modify_schema__(cls, field_schema):421        """Update pydantic field schema."""422        field_schema.update(to_json_schema(cls.to_schema()))423def _build_schema_index(424    indices: List[schema_components.Index], **multiindex_kwargs: Any425) -> Optional[SchemaIndex]:426    index: Optional[SchemaIndex] = None427    if indices:428        if len(indices) == 1:429            index = indices[0]430        else:431            index = schema_components.MultiIndex(indices, **multiindex_kwargs)432    return index433def _regex_filter(seq: Iterable, regexps: Iterable[str]) -> Set[str]:434    """Filter items matching at least one of the regexes."""435    matched: Set[str] = set()436    for regex in regexps:437        pattern = re.compile(regex)438        matched.update(filter(pattern.match, seq))439    return matched440def _get_dtype_kwargs(annotation: AnnotationInfo) -> Dict[str, Any]:441    sig = inspect.signature(annotation.arg)  # type: ignore442    dtype_arg_names = list(sig.parameters.keys())443    if len(annotation.metadata) != len(dtype_arg_names):  # type: ignore444        raise TypeError(445            f"Annotation '{annotation.arg.__name__}' requires "  # type: ignore446            + f"all positional arguments {dtype_arg_names}."447        )...

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