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Version: 0.5.4

common.normalizers.utils

explicit_normalizers

@with_config(spec=NormalizersConfiguration, 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,
destination_capabilities: DestinationCapabilitiesContext = 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,
destination_capabilities: DestinationCapabilitiesContext = None
) -> NamingConvention

[view_source]

Resolves naming convention from reference in names and applies max length from destination_capabilities

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.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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