Filter (autotransform.filter.base)

The base class and associated classes for Filter components.

class autotransform.filter.base.BulkFilter(*, inverted: bool = False)

Bases: Filter

The base for BulkFilter components. Handles validation in bulk to determine valid Items.

_valid_keys

Whether to invert the results of the filter. Defaults to an None.

Type:

Optional[List[str]], optional

name

The name of the component.

Type:

ClassVar[FilterName]

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'inverted': FieldInfo(annotation=bool, required=False, default=False)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context: Any) → None

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self – The BaseModel instance.

• __context – The context.

pre_process(items: Sequence[Item]) → None

Sets up the _valid_keys set for the Filter.

Parameters:

items (Sequence[Item]) – The Items to validate.

class autotransform.filter.base.Filter(*, inverted: bool = False)

Bases: NamedComponent

The base for Filter components. Used by AutoTransform to determine if an Item from an Input is eligible for transformation.

inverted

Whether to invert the results of the filter. Defaults to False.

Type:

bool, optional

name

The name of the component.

Type:

ClassVar[FilterName]

inverted: bool

is_valid(item: Item) → bool

Check whether an Item is valid based on the Filter and handle inversion.

Parameters:

item (Item) – The Item to check.

Returns:

Returns True if the Item is eligible for transformation.

Return type:

bool

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'inverted': FieldInfo(annotation=bool, required=False, default=False)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

name: ClassVar[FilterName]

class autotransform.filter.base.FilterName(value)

Bases: str, Enum

A simple enum for mapping.

AGGREGATE = 'aggregate'

CODEOWNERS = 'codeowners'

FILE_EXISTS = 'file_exists'

KEY_HASH_SHARD = 'key_hash_shard'

REGEX = 'regex'

REGEX_FILE_CONTENT = 'regex_file_content'

SCRIPT = 'script'