KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use _convert_extras_to_checks method in pandera

Best Python code snippet using pandera_python

model.py

Source:model.py

...69        elif _is_field(name):70            extras[name] = value71        # drop private/reserved keywords72    return config_options, extras73def _convert_extras_to_checks(extras: Dict[str, Any]) -> List[Check]:74    """75    New in GH#383.76    Any key not in BaseConfig keys is interpreted as defining a dataframe check. This function77    defines this conversion as follows:78        - Look up the key name in Check79        - If value is80            - tuple: interpret as args81            - dict: interpret as kwargs82            - anything else: interpret as the only argument to pass to Check83    """84    checks = []85    for name, value in extras.items():86        if isinstance(value, tuple):87            args, kwargs = value, {}88        elif isinstance(value, dict):89            args, kwargs = (), value90        else:91            args, kwargs = (value,), {}92        # dispatch directly to getattr to raise the correct exception93        checks.append(Check.__getattr__(name)(*args, **kwargs))94    return checks95class _MetaSchema(type):96    """Add string representations, mainly for pydantic."""97    def __repr__(cls):98        return str(cls)99    def __str__(cls):100        return cls.__name__101class SchemaModel(metaclass=_MetaSchema):102    """Definition of a :class:`~pandera.DataFrameSchema`.103    *new in 0.5.0*104    See the :ref:`User Guide <schema_models>` for more.105    """106    Config: Type[BaseConfig] = BaseConfig107    __extras__: Optional[Dict[str, Any]] = None108    __schema__: Optional[DataFrameSchema] = None109    __config__: Optional[Type[BaseConfig]] = None110    #: Key according to `FieldInfo.name`111    __fields__: Dict[str, Tuple[AnnotationInfo, FieldInfo]] = {}112    __checks__: Dict[str, List[Check]] = {}113    __dataframe_checks__: List[Check] = []114    # This is syntantic sugar that delegates to the validate method115    @docstring_substitution(validate_doc=DataFrameSchema.validate.__doc__)116    def __new__(cls, *args, **kwargs) -> DataFrameBase[TSchemaModel]:  # type: ignore [misc]117        """%(validate_doc)s"""118        return cast(DataFrameBase[TSchemaModel], cls.validate(*args, **kwargs))119    def __init_subclass__(cls, **kwargs):120        """Ensure :class:`~pandera.model_components.FieldInfo` instances."""121        super().__init_subclass__(**kwargs)122        # pylint:disable=no-member123        subclass_annotations = cls.__dict__.get("__annotations__", {})124        for field_name in subclass_annotations.keys():125            if _is_field(field_name) and field_name not in cls.__dict__:126                # Field omitted127                field = Field()128                field.__set_name__(cls, field_name)129                setattr(cls, field_name, field)130        cls.__config__, cls.__extras__ = cls._collect_config_and_extras()131    @classmethod132    def to_schema(cls) -> DataFrameSchema:133        """Create :class:`~pandera.DataFrameSchema` from the :class:`.SchemaModel`."""134        if cls in MODEL_CACHE:135            return MODEL_CACHE[cls]136        mi_kwargs = {137            name[len("multiindex_") :]: value138            for name, value in vars(cls.__config__).items()139            if name.startswith("multiindex_")140        }141        cls.__fields__ = cls._collect_fields()142        check_infos = typing.cast(143            List[FieldCheckInfo], cls._collect_check_infos(CHECK_KEY)144        )145        cls.__checks__ = cls._extract_checks(146            check_infos, field_names=list(cls.__fields__.keys())147        )148        df_check_infos = cls._collect_check_infos(DATAFRAME_CHECK_KEY)149        df_custom_checks = cls._extract_df_checks(df_check_infos)150        df_registered_checks = _convert_extras_to_checks(151            {} if cls.__extras__ is None else cls.__extras__152        )153        cls.__dataframe_checks__ = df_custom_checks + df_registered_checks154        columns, index = cls._build_columns_index(155            cls.__fields__, cls.__checks__, **mi_kwargs156        )157        kwargs = {}158        if cls.__config__ is not None:159            kwargs = {160                "coerce": cls.__config__.coerce,161                "strict": cls.__config__.strict,162                "name": cls.__config__.name,163                "ordered": cls.__config__.ordered,164                "unique": cls.__config__.unique,...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.