common.schema.normalizers

explicit_normalizers

@with_config(spec=SchemaConfiguration, sections=_section_for_schema)
def explicit_normalizers(
        naming: TNamingConventionReferenceArg = dlt.config.value,
        json_normalizer: TJSONNormalizer = dlt.config.value,
        allow_identifier_change_on_table_with_data: bool = None,
        schema_name: Optional[str] = None) -> TNormalizersConfig

[view_source]

Gets explicitly configured normalizers without any defaults or capabilities injection. If naming is a module or a type it will get converted into string form via import.

If schema_name is present, a section ("sources", schema_name, "schema") is used to inject the config

import_normalizers

@with_config
def import_normalizers(
    explicit_normalizers: TNormalizersConfig,
    default_normalizers: TNormalizersConfig = None
) -> Tuple[TNormalizersConfig, NamingConvention,
           Type[DataItemNormalizer[Any]]]

[view_source]

Imports the normalizers specified in normalizers_config or taken from defaults. Returns the updated config and imported modules.

destination_capabilities are used to get naming convention, max length of the identifier and max nesting level.

naming_from_reference

def naming_from_reference(
        names: TNamingConventionReferenceArg,
        max_length: Optional[int] = None) -> NamingConvention

[view_source]

Resolves naming convention from reference in names and applies max length if specified

Reference may be: (1) shorthand name pointing to dlt.common.normalizers.naming namespace (2) a type name which is a module containing NamingConvention attribute (3) a type of class deriving from NamingConvention

serialize_reference

def serialize_reference(
        naming: Optional[TNamingConventionReferenceArg]) -> Optional[str]

[view_source]

Serializes generic naming reference to importable string.